Location: United States
Senior Engineering Manager, Data & AI
Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform.
About the Role
Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided.
The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth.
The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on.
Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else.
Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos.
The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath.
We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works.
Industry Insight
Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade.
Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins.
Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves.
Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe.
About Alvys
Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product.
We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on.
More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company.
We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact.
Our Principles
AI makes building cheap. It does not make judgment cheap.
The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day.
Own the outcome
You own what you ship. "AI wrote it" is not an answer.
Judgment stays human. People decide what matters and whether the result is correct.
Verify independently
Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work.
Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion.
Design for control
AI-first means security-first. Customer data stays on approved infrastructure under managed identity.
Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out.
Build durable systems
Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it.
Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness.
Twice is a pattern. Automate repeated work and share it within 48 hours.
The Data & AI Portfolio
The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent.
Why This Role
Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does.
You build at the frontier, in production.
Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks.
You work with data no one else has.
More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone.
Your work changes how an industry operates.
With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one.
You own a portfolio, not a feature.
Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows.
You shape the team from the start.
The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys.
You stay close to the decisions.
You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B.
What You'll Be Responsible For
Leading and Growing the Team
Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands.
Hire senior and staff engineers, and keep the quality bar high as the team scales.
Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped.
Owning Technical Strategy
Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view.
Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests.
Building Agents That Learn
Own the agent development lifecycle from prototype to production to continuous improvement.
Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable.
Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost.
Data and the Context Graph
Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy.
Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth.
Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit.
Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected.
Safety, Isolation, and Reliability
Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse.
Enforce tenant isolation and least privilege across every agent, tool, and data path.
Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows.
Staying Hands-On
Spend about a third of your time building: prototype, write evals, read traces, and debug production.
Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well.
Cross-Functional Partnership
Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery.
Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features.
The AI Fluency We Expect
We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies.
Delegation:
You decide whether to use AI at all, which task to hand off, and how much autonomy it gets.
Description:
You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy.
Discernment:
You check output against evidence: diffs, acceptance checks, evals, and production monitoring.
Diligence:
You own the effects, including data access, permissions, memory isolation, budgets, and kill switches.
Systems:
You know how models, context, tools, harnesses, and memory work, and where each one fails.
How You Work With Agents
Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token.
Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema.
Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop.
Separate the agent that writes from the agent that checks, and give the checker fresh context.
Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test.
Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step.
Where You Take the Team
Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself.
Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop.
Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data.
Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving.
Minimum Qualifications
8+ years building software, including 3+ years managing engineers.
You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly.
Production LLM systems.
You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed.
Agentic engineering in your own work.
You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest.
Depth in agent systems.
You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail.
Evaluation discipline.
You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases.
Strong data engineering judgment.
You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do.
Distributed systems in production.
You've designed and operated production services with real reliability requirements.
Multi-tenant security.
You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary.
Language fluency.
You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus.
Startup-stage fit.
You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning.
Clear technical communication.
You can explain a tradeoff to an engineer, a customer, and an executive.
Preferred Qualifications
Knowledge graphs, context graphs, entity resolution, or GraphRAG in production.
Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets.
Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets.
Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal.
SRE experience, or a record of running systems other teams depend on.
Logistics or freight experience, or another vertical where data is deeply entangled with operations.
Founder or early-stage engineering leadership experience.
A history of hiring, growing, and retaining excellent engineers.
Built by people who've moved freight. Come build the intelligence layer with us.
Learn more at
alvys.com
seniorUnited States; Relocation assistance is not provided
Location: London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
Responsibilities
MLRO Deputisation and Governance
Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority.
Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence.
Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO.
Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice.
Suspicious Activity Reporting and Sanctions
Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards.
Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off.
Financial Crime Framework
Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval.
Escalate material gaps or emerging typologies to the MLRO.
Lead root cause analysis on control failures or thematic issues and track remediation actions to closure.
Regulatory Reporting and Regulator Engagement
Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report.
Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO.
Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices.
Team Leadership and Succession
Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans.
Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team.
Build the knowledge and judgement needed to step up to SMF1
Requirements
Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance.
Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present.
Strong report writing and Board level communication skills.
People leadership experience, or clearly demonstrated readiness to lead a team.
Ability to manage regulator facing deliverables to deadline.
5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience.
Prior deputy or MLRO experience is preferred but not required.
Experience preparing MI for Boards or Risk Committees.
Familiarity with CFDs, spread betting and margin trading behaviours.
Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning).
Nice to Have
ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent.
Direct exposure to FCA supervisory engagement
Existing line management experience.
What you will get in return:
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: GB - United Kingdom
Scopely is looking for a
Senior Quality Engineer
to join the
MONOPOLY GO!
team. The role can be based remotely in the UK, or in Barcelona or Seville on a hybrid basis, with three days a week in the office.
MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.
At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day.
The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership.
The Role
We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD.
You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness.
What You Will Do
Build reusable engineering solutions.
Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend.
Improve testability from the start.
Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities.
Balance building with hands-on testing.
Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions.
Develop mobile and Unity automation.
Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance.
Strengthen API and integration testing.
Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests.
Validate player-state consistency and recovery.
Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity.
Investigate failures across systems.
Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage.
Validate mobile and backend performance.
Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers.
Apply risk-based testing.
Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing.
Integrate validation into CI/CD.
Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures.
Improve test data and environments.
Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce.
Develop AI-assisted quality workflows.
Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes.
Strengthen telemetry validation and quality visibility.
Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions.
Help establish the QE organization.
Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality.
What We're Looking For
Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers.
Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design.
Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions.
Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD.
Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly.
Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions.
Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs.
Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology.
Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams.
Additional experience we value
Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games.
Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization.
Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team.
What success looks like
Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup.
Responsibilities
Electrical design & engineering
Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding
Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets
Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions
Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design
Prefabrication & modular delivery
Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor
Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing
Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations
Partner, vendor & utility coordination
Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk
Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements
Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations
Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge
Design review & quality
Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements
Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements
Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction
Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design
Manage concurrent projects across multiple geographies
Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers
You may be a good fit if you
Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support
Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence
Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments
Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower
Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets
Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture
Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly
Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims
Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers
Strong candidates may also have
Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners
A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing
Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design
Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution
Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients
Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA; Bellevue, Wa
Workplace: Hybrid
About Niantic Spatial
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates.
What You'll Do
- Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives.
- Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely.
- Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work.
- Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team.
- Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams.
- AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them.
What You'll Bring
- Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar.
- Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production.
- CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar.
- Containers: Production experience with containers and container orchestration, such as Kubernetes.
- Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems.
- AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here.
Nice to Have
- Familiarity with API gateways, load balancers, or CDNs.
- Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM.
- Experience with GPU workloads or ML infrastructure.
- Experience with message queuing systems.
Location & Work Model
This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week.
Compensation & Benefits
The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. At the scale we build, our campuses are typically served by dedicated high-voltage substations and a medium-voltage distribution network that may also integrate on-site generation and battery energy storage — and the protection, control, and automation layer is what keeps all of it selective, coordinated, and observable.
As a Data Center Substation, Protection & Automation Engineer, you'll own the protection and automation architecture across Anthropic's US portfolio — from the utility point of interconnection (POI) through the HV/MV substation, the MV distribution loop, and down into LV switchgear. You'll develop and maintain our protection philosophy and reference relay settings, run and review the short-circuit, coordination, and arc-flash studies that underpin them, design the substation automation and SCADA architecture, and define how relays and meters integrate into the electrical power monitoring system (EPMS) — giving operators real-time visibility and sequence-of-events data when something trips. You'll also be our technical lead on the protection side of utility interconnection — working relay settings, transfer-trip, and ride-through requirements with transmission owners and ISOs/RTOs.
Protection engineering and substation automation are the core of this role; substation physical design is a strong plus but not a prerequisite — we'd like to hear from protection and P&C engineers who have spent their careers on relays, schemes, and studies even if they haven't owned a substation general arrangement. You'll work closely with colleagues across the infrastructure team, our build partners' A/E firms, relay and switchgear vendors, and utility protection groups. Expect roughly 20–35% travel for witnessing factory acceptance and relay testing, and supporting site energization and commissioning.
Responsibilities
Protection engineering
Own Anthropic's protection philosophy and basis of design across the electrical system — HV substation, MV distribution, generator and energy-storage interties, and LV switchgear — and maintain the reference relay settings and protection one-line templates our build partners design against
Specify protective relays and develop relay settings for transformer, feeder, bus, generator, motor, and arc-flash protection applications, working across major platforms (e.g., SEL, GE Multilin, ABB, Siemens, Schneider)
Perform and critically review short-circuit, protective-device coordination, and arc-flash studies; use findings to steer equipment selection, settings, and incident-energy mitigation
Implement automatic transfer, load-shed, and restoration schemes in protection and automation logic, and make sure they stay secure and coordinated under every credible contingency
Review protection and control design packages, relay settings calculations, and coordination studies from build partners and A/E firms against our basis of design, and drive closure on deviations and exceptions
Substation automation & SCADA
Design the substation automation architecture for each site — IEC 61850 station and process bus, GOOSE messaging, RTUs/gateways, local HMI, sequence-of-events recording, and time synchronization — and drive standardization of that architecture across the portfolio
Integrate protective relays, meters, and switchgear controls into the electrical power monitoring system (EPMS) and substation SCADA; define electrical points lists and event/waveform capture, applying the site alarm and HMI standards
Help define the network topology, redundancy, and cybersecurity boundaries between substation automation, EPMS, and the facility BMS/DCIM layer, and how protection events surface to operations
Evaluate and qualify relay, RTU, gateway, and EPMS platforms on technical merit, and work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk
Substation design & utility interface
Review HV/MV substation design packages from build partners — single-line and three-line diagrams, bus configuration, general arrangement, equipment specifications, grounding-grid design, and control-building layout — and confirm the protection and control design is buildable and maintainable
Work with local utilities, transmission owners, and ISOs/RTOs on interconnection protection requirements — relay settings submittals, transfer-trip and communications-assisted schemes, POI study review, and protection settings that satisfy ride-through and grid-code requirements
Review the protection and control interface for on-site generation and battery energy storage interconnections, including anti-islanding, synchronizing, and intertie protection
Support NERC PRC compliance for applicable facilities — settings documentation, misoperation analysis, and periodic maintenance and testing basis
Testing, commissioning & standards
Develop relay test plans and factory and site acceptance test procedures for protection and automation systems, and witness FAT, relay secondary-injection testing, GOOSE messaging and end-to-end scheme testing, and integrated systems testing
Review the protection and control steps of energization and switching methods of procedure (MOPs), support first-energization of substations and MV distribution, and resolve protection and control issues found in the field
Lead root-cause analysis of protection operations and misoperations using relay event records, sequence-of-events data, and disturbance records, and feed findings back into settings and standards
Build and continuously improve Anthropic's internal protection and automation standards — settings templates, scheme logic libraries, test procedures, and commissioning checklists — so each new site starts from a proven baseline
You may be a good fit if you
Have 10+ years of experience in power system protection engineering, substation automation, or substation design for utility, heavy-industrial, or mission-critical facilities
Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Have deep, hands-on expertise applying and setting protective relays for transformers, feeders, buses, generators, and switchgear, and are fluent in at least one major relay platform (e.g., SEL, GE Multilin, ABB, Siemens)
Are fluent in short-circuit, protective-device coordination, and arc-flash analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, EasyPower, ASPEN, or CAPE
Have hands-on experience integrating protective relays into substation automation or SCADA systems using protocols such as DNP3, Modbus, or IEC 61850, and understand RTU/gateway and sequence-of-events architecture
Have worked on utility interconnection protection — relay settings submittals, transfer-trip or communications-assisted schemes, or point-of-interconnection protection requirements — from either the utility or the customer side
Can read, interpret, and mark up single-line and three-line diagrams, AC and DC schematics, relay panel drawings, and wiring diagrams with confidence
Have developed relay test plans and witnessed factory acceptance testing, secondary-injection testing, or field commissioning of protection and control systems
Are familiar with the codes and standards that govern protection and substation work — such as the IEEE C37 series, IEEE 1584, NFPA 70/70E, and (for utility-connected or bulk-electric-system facilities) NERC PRC reliability standards
Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it
Strong candidates may also have
HV/MV substation physical design experience — general arrangement, bus configuration, power transformer and HV breaker specification, grounding-grid design per IEEE 80, insulation coordination, and control-building layout
Experience with protection and control for on-site generation (gas turbines, reciprocating engines, fuel cells) and battery energy storage systems, including anti-islanding, synchronizing, and microgrid transfer schemes
Background in data center, hyperscaler, or other high-availability electrical distribution, and familiarity with critical-power topologies (2N, N+1, distributed redundant)
Experience owning NERC PRC compliance evidence for a generation or transmission asset — settings basis documentation, misoperation reporting, and PRC-005 maintenance programs
Proficiency with vendor relay engineering tools such as SEL AcSELerator, GE EnerVista, ABB PCM600, or Siemens DIGSI, and with IEC 61850 system configuration tools
Designed IEC 61850 station- or process-bus systems with GOOSE-based protection or interlocking schemes
Prior work at a utility, relay or switchgear manufacturer, protection-engineering consultancy, or hyperscaler serving large-load interconnections
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. The loads involved are large enough — and arrive fast enough — that utility supply alone often can't meet the need on the timeline required, and the step-load behavior of large accelerator clusters creates power-quality and ride-through demands that conventional backup-generation designs weren't built for. Anthropic's Data Center Infrastructure team is responsible for solving that problem: delivering facilities that can be energized early, ride through grid disturbances, and present a well-behaved load at the point of interconnection (POI).
As a Data Center Power Generation & Microgrids Engineer, you'll own the behind-the-meter generation and storage architecture for Anthropic's data center portfolio. That means the on-site generation fleet — reciprocating engine gensets, gas turbines, fuel cells — and the battery energy storage systems that buffer load steps and provide ride-through. It means the microgrid layer that ties them together: islanding and resynchronization, black-start, load-shedding, and generation dispatch. And it means the grid side: interconnection studies and agreements, IEEE 1547/2800 compliance, and power quality at the point of interconnection. You'll also own our temporary- and bridging-generation strategies — the plans that let a site energize and start serving load before permanent utility service is available, and transition cleanly once it is.
This is a deeply cross-functional role. You'll work closely with colleagues across the infrastructure team on where and how generation and storage tie into the site electrical distribution, controls, and SCADA, and with our hardware and compute teams to understand the load characteristics you're designing against. You'll be Anthropic's technical counterpart to on-site generation providers, BESS integrators, utilities, and ISOs/RTOs. Expect roughly 20–35% travel for design reviews, factory witness testing, and site startup.
Responsibilities
On-site generation engineering
Own Anthropic's behind-the-meter generation architecture across the portfolio — prime-mover selection and sizing (reciprocating engines, gas turbines, fuel cells), paralleling topology, redundancy, fuel systems, and emissions controls — and maintain the generation basis of design and technical specifications that build partners and generation providers design against
Set the day-one vs. day-N plant sizing and expansion strategy — what the plant needs on day one so it can be expanded or augmented later, and how to add units, storage, or a grid tie to a system already running
Characterize the data center load for external generation partners — step changes, ramps, oscillation, fault behavior, and non-IT load — so providers can size and tune their plant against the real duty
Model generation response against the load profile of large-scale ML training — step-load acceptance, block loading, transient frequency and voltage response, load rejection — and set the acceptance criteria (e.g., per ISO 8528-5) that generation packages are tested against
Develop temporary- and bridging-generation strategies that deliver early site energization ahead of permanent utility service, including the sequencing, protection, and controls changes needed to transition from temporary to permanent power without stranding equipment or capacity
Ensure generation designs meet NFPA 37, NFPA 110 where the plant provides emergency or legally required standby power, fuel-gas and fuel-storage codes (e.g., NFPA 54, NFPA 30), and applicable emissions requirements, and coordinate with environmental and permitting counterparts on the technical inputs to air permits
Energy storage & microgrid architecture
Size and specify battery energy storage systems for ride-through, step-load buffering, and power-quality support — including cell chemistry and enclosure selection, inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A large-scale fire test data, and NFPA 855 installation requirements — and own the thermal and fire-protection interfaces
Define the site microgrid topology and operating modes — grid-parallel, islanded, and black-start — and the transition logic between them, including load-shedding schemes, resynchronization criteria, and the conditions under which the site separates from and reconnects to the utility
Specify the functional requirements for the microgrid controller — generation dispatch, set-point coordination across rotating and inverter-based sources, mode management — and drive its implementation, testing, and integration into site SCADA and the electrical power monitoring system (EPMS)
Help define the protection and control requirements for generation and storage sources so that interconnection protection, anti-islanding, and source-transfer schemes are consistent from the generator terminals through the point of interconnection
Grid interconnection & power quality
Lead the technical side of utility interconnection for sites with on-site generation or storage — interconnection applications, studies, and agreements, ISO/RTO processes, IEEE 1547/2800 compliance, and interconnection protection
Own power quality at the point of interconnection — flicker per IEEE 1453, harmonics per IEEE 519, voltage regulation, reactive-power and power-factor requirements — and design the generation, storage, and filtering mitigations needed to keep the site within its interconnection limits under real training-load behavior
Run or critically review the power-system studies that support interconnection and microgrid design — load flow, short-circuit contribution from rotating and inverter-based sources, transient stability, motor-starting and step-load studies, and electromagnetic-transient studies where inverter controls matter
Vendor diligence & delivery
Lead technical due diligence on on-site generation providers, BESS integrators, and microgrid-controller vendors — evaluating equipment and controls on engineering merit, stress-testing performance and availability guarantees, and reviewing proposed architectures against Anthropic's basis of design
Define the technical performance terms in energy-services agreements with on-site generation providers — availability, power quality, ramp, and ride-through, each with a definition, meter, test protocol, and acceptance criteria — working with energy commercial and legal counterparts
Review and disposition design packages, submittals, shop drawings, and deviation requests from generation providers and their EPCs, and hold partners to Anthropic's reliability and maintainability requirements
Support commissioning of generation, storage, and microgrid systems — witnessing factory and site acceptance tests, defining and observing integrated systems tests (islanding, resynchronization, black-start, load-step), and resolving field issues against design intent
Manage concurrent generation and microgrid scopes across multiple sites, and contribute to the continuous improvement of Anthropic's generation and interconnection design standards as the portfolio and the technology both evolve
You may be a good fit if you
Have 10+ years of engineering experience in power generation, microgrids, battery energy storage, or utility interconnection, with substantial time spent on on-site or distributed generation for mission-critical, data center, or large industrial loads, and deep hands-on delivery experience in at least one of these areas (generation, storage, microgrids, or interconnection)
Have deep hands-on experience with one or more generation technologies — reciprocating engine gensets (diesel and natural gas), gas turbines, or fuel cells — including sizing, paralleling, fuel systems, and emissions controls
Understand the thermal generation asset classes — reciprocating engines across the size range (sub-MW through 10–20 MW units), small- and medium-frame combustion turbines, and combined cycles — and how each responds to fast load changes and holds stable islanded operation
Understand battery energy storage sizing for a defined duty (ride-through, load-step buffering, peak shaving), inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A test data, and NFPA 855 installation requirements
Understand microgrid architecture end to end — islanding detection and transition, resynchronization, black-start, load-shedding, and generation dispatch
Are fluent in interconnection standards and processes — IEEE 1547, IEEE 2800, utility interconnection requirements, and ISO/RTO study and queue processes
Are comfortable running or critically reviewing power-system studies — load flow, short-circuit, transient stability, and power quality — in tools such as ETAP, SKM, PSS®E, PSCAD, or EasyPower
Hold a bachelor's degree in Electrical Engineering, Power Engineering, or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Have worked directly with generation OEMs, BESS integrators, generation-as-a-service providers, or utilities, and can evaluate equipment and proposals on technical merit rather than datasheet claims
Communicate clearly with technical peers, utilities, regulators, and non-specialist stakeholders, and are results-oriented with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it
Strong candidates may also have
Designed or delivered battery energy storage systems at MW scale
Specified or commissioned a microgrid controller for a site that can island and resynchronize
Taken at least one large load or generation interconnection from application through agreement
HV/MV substation design experience — main one-line development, equipment specification, grounding, and layout — since on-site generation and storage tie in at the substation and the two scopes are tightly coupled
A protection-engineering background covering generation and interconnection protection — relay selection and settings, anti-islanding schemes, and coordination between on-site sources and utility protection
Experience integrating renewable generation (solar PV, wind) with storage into hybrid behind-the-meter plants
Experience on the technical side of air permitting for stationary generation (e.g., Title V, NSR/PSD, or state equivalents) and emissions-control equipment selection
Electromagnetic-transient (EMT) modeling experience in PSCAD or EMTP for inverter-based resource and microgrid-transition studies
Direct experience with data center, hyperscaler, or other large-campus microgrids, or at a generation provider, BESS integrator, or developer serving those customers
A track record of authoring generation or interconnection reference designs or standards that were adopted across multiple sites or by external partners
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: US
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
AI is changing what’s possible in radiology. You’ll help define how radiologists and radiology leaders understand that change, and why they choose Aidoc.
As our Director of Radiology Product Marketing, you will own the market strategy, positioning and go-to-market execution for our Radiology business, spanning established diagnostic AI solutions and emerging capabilities in comprehensive interpretation and AI-generated reporting.
This is a strategic, hands-on role for an experienced healthcare product marketer who combines strong commercial judgment, technical curiosity and the ability to quickly master complex clinical domains. Experience in radiology and imaging technology is a significant advantage. You will bring customer insight, competitive strategy and strong storytelling to strengthen our business today and shape how we bring the next generation of AI to market.
Working closely with Product, Sales, Customer Success and Marketing, you will turn market understanding into product recommendations, differentiated positioning and effective commercial execution.
Responsibilities
Radiology positioning and messaging:
Own the value proposition and differentiation for Aidoc’s Radiology offering. Translate diagnostic capabilities, workflow innovation and emerging AI-generated interpretation into clear clinical and operational value.
Customer and workflow insight:
Build firsthand understanding through customer visits, reading-room observation and field engagement. Identify unmet needs, adoption barriers and changing priorities, and use those insights to inform product and go-to-market decisions.
Competitive strategy:
Track competing solutions, workflow approaches, clinical evidence and regulatory status. Turn that understanding into sharper positioning, commercial guidance and product recommendations.
Product partnership:
Work with Product Management as capabilities develop to assess customer need, workflow fit, differentiation and commercial potential. Bring an independent market perspective, challenge assumptions and help identify evidence needed to support adoption.
Launch and go-to-market leadership:
Lead segmentation, messaging and launch strategy for new Radiology solutions. Partner with Marketing, Sales and Enablement on market preparation, customer engagement and commercial readiness.
Storytelling and commercial materials:
Personally develop presentations, messaging, talk tracks and competitive tools. Equip commercial teams with clear narratives and supporting evidence for customer discussions.
Customer and clinical leader engagement:
Build trusted relationships with radiologists, department leaders and key opinion leaders. Participate in strategic customer conversations, support competitive deals and represent Aidoc at industry events.
Requirements
7+ years of product marketing, product strategy or relevant commercial experience, preferably in healthcare technology, medical devices or clinical software. Experience in radiology, imaging informatics or medical imaging AI is a strong advantage.
Strong understanding of healthcare workflows, clinical and operational priorities, and technology buying decisions, with the ability to quickly develop expertise in radiology and imaging AI.
Strong product marketing expertise across positioning, messaging, customer discovery, competitive strategy and launches.
Technical fluency and curiosity, with the ability to understand imaging AI, foundation models, generative capabilities and workflow technology, and translate them into meaningful customer value.
A track record of turning direct customer engagement and competitive insight into product recommendations and commercial action.
Excellent writing, storytelling and presentation skills, including hands-on development of messaging, customer presentations and sales materials.
Strong strategic judgment and customer-facing credibility. Able to form an independent point of view, challenge assumptions and influence Product, commercial and executive stakeholders.
Highly independent and hands-on, with a track record of personally driving execution, moving quickly with limited resources and adapting to changing priorities.
Strong understanding of the U.S. healthcare market and willingness to travel regularly for customer and field engagement.
Bachelor’s degree in Marketing, Business, Life Sciences, Healthcare or a related field. Advanced degree preferred.
Working at Aidoc
We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work.
We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace.
What we offer:
A range of medical, dental and vision benefits
Stock options for all full-time employees
Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met.
A 401(k) plan with company match, life insurance, plus long- and short-term disability
The opportunity to directly improve medical care and impact patient outcomes
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Alpharetta, GA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
Chiller Application Engineer
The Opportunity
LG Electronics is seeking a
Chiller Application Engineer
to support the selection, application, and technical sales of LG chillers and heat pumps across the U.S. market. This role serves as a technical expert for customers, consultants, representatives, and internal teams, ensuring equipment selections, system designs, and project applications align with customer requirements and LG product capabilities.
Working closely with Sales, Product Management, Factory Engineering, Building Automation, and Service teams, the Chiller Application Engineer will support project execution, product line activities, technical documentation, and customer-facing engineering support.
Why Join Our Team
Join a growing chiller business and play a key role in bringing innovative cooling and heating solutions to customers across North America. You'll work on complex HVAC projects, collaborate with global engineering teams, and help shape the future of LG's commercial chiller and heat pump offerings.
What You'll Do
Provide application engineering support for LG chillers and heat pumps, including equipment selection, sizing, and performance analysis.
Evaluate project requirements including loads, operating conditions, flow rates, pressure drop, sound requirements, electrical characteristics, and system configurations.
Develop competitive equipment selections using approved LG software and engineering tools.
Review chilled water, condenser water, heat pump, and hydronic system designs to ensure compatibility with LG equipment requirements.
Support consulting engineers, contractors, owners, and sales teams with technical recommendations and application guidance.
Interpret plans, specifications, codes, and project requirements to prepare submittals, technical responses, compliance matrices, and equipment schedules.
Support building automation integration, including equipment controls, sequencing, BACnet/Modbus communications, and plant operation strategies.
Collaborate with factory engineering, product management, and sales teams to address project-specific requirements and support product improvements.
Capture customer feedback and market requirements to support product development and future product enhancements.
Review and maintain technical documentation including engineering manuals, installation guides, application guides, catalogs, and product literature.
Support product line activities including new product introductions, engineering changes, feature enhancements, and product lifecycle management.
Develop and deliver technical training, presentations, webinars, and application guidance for customers, sales teams, representatives, and industry partners.
Provide technical support during project handoff, installation, commissioning, and performance investigations.
Analyze field issues and collaborate with service and factory engineering teams to identify root causes and drive resolution.
Travel as needed to support customer meetings, jobsite reviews, training, and product-related activities.
Job Requirements
Bachelor's degree in Mechanical Engineering or a related engineering discipline.
3+ years of commercial HVAC experience in application engineering, consulting engineering, technical sales support, or chiller system engineering.
Knowledge of refrigeration systems, heat transfer, hydronics, pumps, controls, and variable-speed HVAC equipment.
Ability to interpret plans, specifications, piping diagrams, sequences of operation, and applicable HVAC codes and standards.
Experience performing engineering calculations and applying technical concepts to commercial HVAC systems.
Proficiency with Microsoft Excel, Word, PowerPoint, Adobe Acrobat, equipment selection software, and engineering documentation tools.
Strong technical writing, presentation, problem-solving, and project management skills.
Ability to manage multiple projects and collaborate effectively across cross-functional teams.
Willingness to travel domestically and occasionally internationally.
Preferred Qualifications
Experience with air-cooled and water-cooled chillers, air-to-water heat pumps, centrifugal chillers, or inverter-driven compressor technologies.
Experience with chiller plant design, sequencing, building automation systems, energy analysis, or life-cycle cost evaluations.
Knowledge of ASHRAE, AHRI, and commercial HVAC industry standards.
Experience supporting data centers, mission-critical facilities, healthcare, higher education, industrial, or large commercial projects.
Experience working with manufacturer engineering teams, product development, technical training, or new product introductions.
#LI-DB2
Recruiting Range
$90,000
—
$110,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Senior Go Engineer IT Вакансии Компания OLX UZ ищет опытного Senior Go Engineer для развития и оптимизации поискового ядра платформы в Узбекистане. 🕹 Список обязанностей: — Развивать, оптимизировать и масштабировать поисковое ядро Apache в среде AWS EKS.
Location: Remote
Workplace: Remote
More than 30,000 subscription apps run on Adapty: $5B in revenue tracked, 4B users served, 80B API calls a month. That's one of the richest datasets in the app economy. Our mission is simple: make apps rich.
We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.
Why this role matters
Adapty runs on infrastructure we own and operate ourselves: a Proxmox and Ceph platform across OVH, Hetzner and bare metal, with parts of the stack in AWS and GCP. That platform processes billions of dollars of subscription volume a year, and today too much of it depends on a single engineer.
You are joining to take that platform over: fully owned, fully described in code, and cheap to run at scale. In your first months you will own Proxmox and Ceph end to end, drive resource rightsizing, and lead the split of our development workloads into a separate cluster.
What you'll do
- Own our Proxmox and Ceph platform end to end — capacity, upgrades, performance and incident response
- Run infrastructure across OVH, Hetzner and bare metal, alongside workloads in AWS and GCP
- Drive resource rightsizing: find where we overpay, size it correctly, and prove the saving in the bills
- Lead the separation of development workloads into a dedicated cluster, without downtime for production
- Keep everything as code — Terraform, Ansible, ArgoCD and GitLab CI, with no manual changes in production
- Own reliability: on-call, incident response, root cause analysis and the runbooks that follow
- Support the data layer our product runs on — PostgreSQL, ClickHouse, Aerospike
About you
- 10+ years working with infrastructure and physical hardware, not only managed cloud
- 5+ years running Kubernetes and cloud platforms in production
- Hands-on with bare metal and providers like OVH and Hetzner, plus AWS and/or GCP
- Strong with Terraform, Ansible, ArgoCD and GitLab CI — you describe infrastructure in code by default
- Real FinOps experience: you can name what infrastructure cost before and after you touched it
- You take problems all the way to the root cause and to the fix, including outside your formal scope
- You say things directly — risks and bad news arrive early, not after the incident
Nice to have
- Production experience with Proxmox and Ceph specifically
- PostgreSQL, ClickHouse or Aerospike at scale
- Experience splitting shared environments into isolated clusters
- Building observability and on-call practice from scratch
- High-load B2B SaaS background
WHAT'S IN IT FOR YOU
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning, sports, health insurance, laptop coverage, and more.
Location: Nicosia
Job Overview
Server Core team develops and maintains critical core services. We work on code that handles game clusters, manages game realm connectivity, stores player data, manages player inventory and assets, distributes game sessions in the most optimized way, and integrates server with external services. Given the large number of concurrent players, our work is important for ensuring stability, and a smooth gaming experience.
As a cohesive team, we value cooperation and problem-solving. If you're passionate about high-load systems and want to shape the future of a globally connected game, we would love to hear from you!
Reports to
Server Core Lead
What will you do?
Own complex features end-to-end, from requirements to production
Decompose large problems into manageable tasks, define service/module boundaries
Ensure scalability, performance, and fault-tolerance
Improve engineering culture: tools, testing, observability, automation
Mentor mid-level engineers and support team decision-making
What are we looking for?
5+ years of professional development experience with C++ or other statically typed languages such as C#, Java, or Rust
Willingness to work primarily in Python; prior Python experience is a plus
Experience building and maintaining complex, stateful backend systems
Solid understanding of concurrency, multithreading, and asynchronous execution
Experience investigating and resolving performance issues
Hands-on experience with databases, query optimization, caching, and messaging
Skilled in monitoring, logging, and observability practices
Experienced in building reliable, secure backend systems
Guides less experienced developers
Makes sound technical decisions under ambiguity
Ensures delivery of features that create real user value
Raises the overall technical quality bar
Advanced level of English language
Work mode
Onsite
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Lisbon; Belgrade
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a Senior Frontend Engineer who cares deeply about performance, architecture, and building systems that scale.
You will work across two complementary product areas:
- A high-load, mobile-first web platform where SSR, rendering strategy, and Core Web Vitals are critical
- Internal builder, CMS, and analytics products that require complex editors, forms, and state-heavy interfaces
This role combines frontend platform engineering with advanced application development, requiring strong ownership of architecture, performance, and user experience.
KEY RESPONSIBILITIES
- Build and evolve high-performance web applications across game hubs, CMS, and analytics products
- Design scalable frontend architecture, reusable UI systems, and developer-friendly foundations
- Optimize rendering, caching, and application performance for high-load environments
- Develop complex editor experiences, forms, dashboards, and state-heavy user interfaces
- Ensure code quality through testing, observability, and engineering best practices
REQUIRED QUALIFICATIONS
- 5+ years of frontend development experience
- Strong React expertise and modern frontend architecture practices
- Production experience with Next.js, SSR, and React Server Components
- Experience building complex SPA applications, including editors, dashboards, CMS, or similar state-heavy products
- Strong performance optimization skills (Core Web Vitals, profiling, caching, rendering strategies, bundle optimization)
- Experience with TanStack ecosystem (React Query and related tools)
- Experience with Tailwind CSS and Vite
- Experience designing reusable UI systems, components, and frontend architecture
- Strong testing culture and maintainable engineering practices
PREFERRED QUALIFICATIONS
- Experience with schema-driven forms (Zod or similar)
- Experience with BaseUI, Radix, or similar component systems
- Experience with Bun
- Background in gaming, entertainment, or high-traffic consumer products
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Berat, Albania; Belgrade, Serbia; Athens, Greece; Crete, Greece; Podgorica, Montenegro; Skopje, North Macedonia; Zagreb, Croatia; Cluj-Napoca, Romania; Pondicherry, India; Petten, Netherlands; Aachen, Germany; Abidjan, Côte d'Ivoire; Alexandria, Egypt; Ahmedabad, India; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Augsburg, Germany; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Barcelona, Spain; Batumi, Georgia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birżebbuġa, Malta; Bishkek, Kyrgyzstan; Bolzano, Italy; Bordeaux, France; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Cairo, Egypt; Chemnitz, Germany; Chișinău, Moldova, Republic of; Copenhagen, Denmark; Darmstadt, Germany; Delhi, India; Mirpur, Bangladesh; Dnipro, Ukraine; Dresden, Germany; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Gżira, Malta; Haifa, Israel; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Hyderabad, India; Bangalore, India; istanbul, Türkiye; Istambul, Türkiye; Istanbul, Türkiye; Ankara, Türkiye; Jakarta, Indonesia; Karlsruhe, Germany; Kharkiv, Ukraine; Kiel, Germany; Koln, Germany; Krakow, Poland; Krosno, Poland; Kuala Lumpur, Malaysia; Kyiv, Ukraine; Larnaca, Cyprus; Leipzig, Germany; Leverkusen, Germany
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Solutions Architect
to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
The role
responsibilities
consist of two primary parts: client facing technical representative of the team and the technical lead for the development team.
This client-facing part requires comfort in deep-dive technical workshops and in board-level sales presentations.
The development leadership should include creation of technical architecture documentation; working with the QA lead to define the test strategy; leading DevOps to define and implement CI/CD pipelines; ensuring that implementations meet non-functional requirements
Java platform knowledge.
Experience with Spring, Maven and GitHub;
Understanding of Service Oriented Architectures (SOA), as well as Micro-Services Architecture;
Knowledge of JavaScript frameworks, MVC patterns and principles of REST APIs, OpenAPI, Integration Platforms, API Gateway, etc.
Knowledge of native mobile development is an advantage.
Ability to quickly understand new architectural frameworks and best practices;
Professionally worked with Enterprise Integration Patterns and Frameworks;
Operational knowledge of application servers, databases, load balancers and other infrastructure components required to deploy web applications in a highly available and scalable environment;
Good communication and presentation skills.
Experience with designing solutions for financial services (especially banking);
Experience with server virtualization and containers technology such as Docker, Kubernetes, Helm, ArgoCD.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We're looking for a
Senior Customer AI Engineer
who will join our
Token Factory
team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.
This role sits at the intersection of
engineering, delivery, and customer success
– ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive
stable, performant, and cost-efficient deployments
.
This role is NOT:
A sales role (though you will support expansion through value)
A pure support role (you won’t just react to tickets)
A solution architect role (you won’t design systems from scratch)
You’re welcome in our office in
Tel Aviv, Israel.
Your responsibilities will include:
Own the production journey
• Lead the transition from PoC to production
• Ensure customer workloads are deployed, stable, and scalable
• Drive time-to-production and time-to-value
Ensure technical success in production
• Understand customer architectures and use cases
• Monitor and improve:
o performance (latency, throughput)
o cost efficiency
o reliability
• Identify and resolve bottlenecks proactively
Act as a trusted technical partner
• Work directly with customer engineering teams
• Provide guidance on best practices and optimisation
• Translate technical challenges into actionable solutions
Manage risks and incidents
• Act as a primary technical contact for production issues
• Coordinate with internal teams to resolve incidents
• Communicate clearly during high-pressure situations
Drive continuous improvement
• Identify opportunities to optimise and expand usage
• Provide structured feedback to Product and Infrastructure teams
• Help shape better solutions based on real customer needs
We expect you to have:
Technical background
Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
Solid understanding of:
- cloud or infrastructure systems
- distributed systems or high-load applications
- AI/ML workloads (LLMs, inference, etc.)
Ability to troubleshoot and reason about system performance
Customer-facing experience
Experience working directly with technical customers (e.g. engineers, ML teams)
Ability to communicate complex topics clearly and effectively
Ownership & execution
Strong sense of ownership – you drive outcomes, not just tasks
Ability to manage multiple customers and priorities
Structured, proactive, and solution-oriented mindset
It will be an added bonus if you have:
Experience with GPU workloads or AI infrastructure
Background in solutions engineering, SRE, or technical support in B2B environments
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Cyprus - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution
In this specific role, you will take ownership of the design, implementation, and lifecycle management of our
Network Infrastructure
across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers.
Your Impact:
Keep our infrastructure and company information safe with reliable network security
Keep our services running smoothly and fast for users around the clock
Managing the Wrike product infrastructure
Implementing reliable solutions to ensure a product uptime SLA of 99.9%
Working with GCP, AWS and other cloud providers in the IaC paradigm
Introducing and supporting new infrastructure services
Actively participating in incident response and management, including on-call duties
Developing and maintaining professional connections within and outside of the team
Your Qualifications:
Juniper/Cisco devices underlying network infra
Kubernetes and ArgoCD
Nginx, HAproxy and Istio for load balancing
GCP, AWS and Cloudflare are our main cloud providers
Puppet, Ansible and Terraform for defining everything as a code
Python to automate everything
Prometheus (VictoriaMetrics) and Zabbix for monitoring
Graylog, Logstash, Fluentd for logging
Jenkins and Gitlab-CI for building pipelines
Upper Intermediate English skills
Standout Qualities:
Experience with working with enterprise-grade infrastructure and SaaS solutions
Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment
Experience working with BGP, OSPF, EVPN, STP, IPsec protocols
Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive
Understanding of information security principles and the ability to apply them to network architecture
Sufficient scripting skills in Python/Bash or other scripting languages
Strong analytical abilities and problem-solving skills
Team Dynamics:
Your manager will be Dmitrii Vlasov, SysOps Team Lead
We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn
Our Work Style:
Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
Hybrid mode (1-2 days per week)
On-call shifts in production and development environments
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
You will: Contribute to the edge proxy platform: Assist in maintaining, upgrading, and extending a high-performance reverse proxy.
УдалённоmiddleIt is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore
Welcome to
Torrero
- all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 8,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
About the project
We're looking for a senior Python Developer.
Our tech stacks are Python, Django, PostgreSQL, MongoDB, RabbitMQ, and Redis.
Examples of tasks: creation of new product features, integration of new payment methods, data providers, development of automated communication systems with users and risk management systems, and more.
Your key responsibilities include:
Make architectural decisions for product backend
Implement design, develop backend and write tests
Monitor trouble proof operation of production
Monitor performance, and optimize wherever necessary
Responsible for completed tasks
Your expertise to meet the requirement:
Commercial development experience 5+ years
Excellent knowledge in Python 3.x and Django
Experience in the design and development of complex highly-loaded systems
Intermediate level and above in English language
Excellent knowledge of general programming issues: design patterns, data structures, and algorithms
Native proficiency or fluent in Russian language
Upper intermediate or intermediate proficiency in English language
Will be a plus:
Experience with SQL and NoSQL DBs, and understanding of the key features of each of them
Experience in
fintech or iGaming industry
We appreciate:
Ability to quickly and efficiently solve tasks
Independence, responsibility, initiative, and keep attention to detail
A flexible and systematic approach to solving complex problems
Right perfectionism
Ability to decompose large tasks
We offer:
Fully remote job - work from anywhere you want
Flexible working hours
Competitive compensation
28 paid days off per year
3 paid sick days a year without medical certificate
Seniority leave
Birthday Day off
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
Introductory Call
Technical Assignment
Hiring Manager round
ГибридLondon, England, United Kingdom
seniorGB - United Kingdom
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorCyprus - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations