Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of IT, alongside engineers who own identity and collaboration, Microsoft platforms, networking, and client platforms.
Harvey is cloud-first. We run no servers or data centers of our own. Our IT infrastructure is cloud tenants, SaaS configuration, office networks across a growing global footprint, and the automation that ties them together. Today that cross-cutting work is done on the side by each platform owner. This role makes it someone's primary job, so it gets built once, done well, and doesn't break quietly.
WHAT YOU'LL DO
You'll own the shared infrastructure, automation and reliability work that cuts across every IT platform.
- IT cloud accounts and tenants. Own access, guardrails and cost for the cloud accounts IT runs (AWS, Azure, GCP projects for IT tooling). Be the BizTech engineering partner to Security and Infrastructure on tenant-level changes, such as cloud migrations that touch Entra and M365.
- Infrastructure as code for IT. Build and run the Git repos, CI pipelines and review process for IT configuration (Okta, Jamf, Intune, Google Workspace). Platform owners keep owning their config. You own the framework they all use.
- IT automation and provisioning. Own the automation behind identity lifecycle and IT workflows: SCIM and provisioning flows, onboarding and offboarding orchestration across systems, and IT workflows in Serval.
- Monitoring, backup and resilience. Set up health checks and alerting for critical IT systems and integrations, config drift detection, SaaS backup (Google, Slack, M365) and tested recovery runbooks.
- Scripts and internal tooling. Take over the scripts and admin utilities that live on individual laptops today. Put them in source control, document them and keep them running.
- Office site standard. Work with Network and AV/Media teams to define the repeatable technical template for new offices: configuration, monitoring and documentation each site copies. Network and AV build execution stays with their owners.
- Engineering practices. Raise the bar on change control, documentation and runbooks across the pillar, so primaries and backups can cover for each other.
- Certificates, domains and DNS. Track and renew every certificate IT depends on (Apple Push, SAML signing, SSL, Wi-Fi/802.1X). Work with Network and CorpSec teams to own and manage DNS NS solutions for IT. Build expiry monitoring to avoid surprises.
WHAT YOU HAVE
- 6+ years in corporate IT engineering, systems engineering or SRE, with at least 2 years owning shared infrastructure or automation for a SaaS-first company.
- Strong infrastructure-as-code experience. You've managed real systems with Terraform or similar, in Git, with pull-request review and CI.
- Solid scripting in Python plus one of Bash, PowerShell or Go. You write code other people can read and maintain.
- Hands-on with identity and provisioning: SAML, OIDC, SCIM and lifecycle automation in Okta or Entra.
- Working knowledge of at least one major cloud (AWS, Azure or GCP): IAM, accounts and cost basics.
- Comfort with DNS, TLS and certificate management, and basic enterprise networking.
- You've built monitoring and alerting that people actually trust, and written runbooks that someone else used successfully.
- Clear written communication. You can explain a change, its risk and its rollback to non-engineers.
BONUS POINTS
- Terraform providers for Okta, Google Workspace or Jamf, or config-as-code tools for Intune
- Serval or similar IT automation platforms
- SaaS backup and recovery tools for Google Workspace, Slack or M365
- Multi-site office rollouts across regions, including working with local vendors and ISPs
- Experience at a fast-growing company where company headcount grew faster than the IT team
COMPENSATION
$153,000 - $210,500 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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: Chennai, Tamil Nadu, India
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
The Warehouse Specialist runs day-to-day warehouse operations at a Nebius data center site. The role receives, stores and issues high-value hardware (GPU racks, servers, network equipment, spare parts), keeps stock and asset records accurate, and provides equipment to data center engineers on time.
The specialist is the site's hands-on link to the wider logistics function: Transportation and Transport Coordination for arrivals and pickups, Logistics Planning and 3PL Planning for schedules, Back Office for system records, and the Project Office for new processes and tools.
Your responsibilities will include:
1. Receiving & Dispatch
Receive inbound shipments per the delivery schedule; check seals, packaging and contents against ASN, packing list and PO.
Record damage and discrepancies with photos on arrival and hand them to Transport Coordination for insurance cases.
Prepare outbound shipments and RMA returns: picking, packing, labelling, documents; hand over to carriers at the agreed pickup time.
Follow handling standards for heavy, fragile and high-value equipment.
2. Provisioning to Data Center Operations
Issue equipment and spare parts to DC engineers on time, according to requests and project priorities.
Stage and kit hardware for rack deployments as agreed with ITDC and Project Managers.
Keep a clear view of what is available on site and flag shortages to the Team Lead and Logistics Planning.
3. Inventory & Asset Control
Post receipts, issues and transfers in ERP/WMS on the same day as the physical movement.
Create inventory and asset records for received equipment, including serial numbers.
Carry out cycle counts and annual stock takes; investigate and report discrepancies to Back Office.
Keep the warehouse tidy, labelled and organised by location.
4. Security, Safety & Compliance
Follow site security procedures for deliveries, access control and storage of high-value items.
Apply safety rules for handling equipment and operating material handling equipment.
Keep records complete and audit-ready (SOX, internal and external audits).
5. Process & Continuous Improvement
Work according to global SOPs and site-specific instructions.
Suggest improvements and report recurring issues to the Team Lead and the Project Office.
Take part in pilots and rollouts of new processes and tools (WMS/TMS, automations) at the site.
6. Local Expertise
Provide site-specific knowledge (access rules, dock limits, local carriers and customs specifics) to Transport, Planning and 3PL teams.
Identify local operational risks and propose practical mitigation.
7. Add-on Roles (when assigned)
+ RMA: own RMA flows at the site — intake, documentation, return shipment, status tracking.
+ Key User (IRG / NetSuite / Project44): first-line support and training for colleagues on the system, test changes, collect feedback for the Project Office.
We expect you to have:
Autonomy: Independently runs daily warehouse tasks at the site within SOPs; escalates discrepancies, damage and security issues to the Team Lead.
Impact: Keeps DC engineers supplied with the right hardware on time and keeps site stock accurate.
Communication: Clear, timely updates to the Team Lead, DC engineers and logistics teams.
Travel: Occasional support to other sites during launches or peaks.
Work Mode: On site; remote work not expected.
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: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction.
What you’ll do
As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to:
Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components
Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows
Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently
Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc
Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads
Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time
Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly
Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection
Mentor engineers across the Compute Platform teams and set the bar for operational excellence
Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents
What we look for
Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler)
Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows
Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints
Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks
Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar)
Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits
Cross-functional collaboration skills with platform, product, SRE, and capacity teams
Demonstrated mentorship and technical leadership across teams
Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs
Qualifications
10+ years in software or infrastructure engineering with proven delivery of complex platform solutions
6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS
Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS)
Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines
Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on
Track record designing and enforcing standards across many teams without becoming a bottleneck
Exceptional problem-solving and systems-thinking skills
Demonstrated leadership and cross-functional influence
Excellent communication skills
Base Pay Grade
- R
Equity Grade
- 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $
209,000
-
269,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction.
What you’ll do
As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to:
Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components
Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows
Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently
Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc
Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads
Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time
Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly
Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection
Mentor engineers across the Compute Platform teams and set the bar for operational excellence
Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents
What we look for
Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler)
Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows
Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints
Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks
Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar)
Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits
Cross-functional collaboration skills with platform, product, SRE, and capacity teams
Demonstrated mentorship and technical leadership across teams
Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs
Qualifications
10+ years in software or infrastructure engineering with proven delivery of complex platform solutions
6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS
Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS)
Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines
Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on
Track record designing and enforcing standards across many teams without becoming a bottleneck
Exceptional problem-solving and systems-thinking skills
Demonstrated leadership and cross-functional influence
Excellent communication skills
Base Pay Grade
- R
Equity Grade
- 15
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000
USA base pay range (all other U.S. states) per year: $236,000 - $296,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it.
You will apply hands-on AI engineering experience alongside product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture.
This role is ideal for a practitioner who has spent time building or tinkering with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty.
Your Opportunity:
Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle.
Assist in the implementation of robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models.
Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments.
Assist in developing security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses.
Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores.
Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors.
Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks.
Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes.
Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes.
Assist in researching emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives.
What You'll Need:
2 or more years of professional experience in information security or application security, with at least a demonstrated interest on securing AI/ML systems.
Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred.
Awareness of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks.
Knowledge of data security principles, including encryption, masking, and tokenization.
Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling.
Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices.
Ability to work cross-functionally across engineering, product, and business teams.
Strong written and verbal communication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences.
Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership.
Self-motivated and effective working independently and across distributed teams.
And Ideally:
Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments.
Basic coding experience in Python and/or Go.
Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar.
Strong understanding of the ML/AI lifecycle and the security risks associated with each stage.
Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc.)
Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services.
Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary.
#LI-Hybrid
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$102,500
—
$136,500 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Remote - Global
Workplace: Remote
We're hiring a Software Engineer to join a growing team building products that reach hundreds of thousands of people thinking about how to do the most good.
This is an individual contributor role on our Online Team, and will be responsible for prioritizing and implementing impactful technical work at CEA. This position reports to the incoming Head of Digital Product. You will collaborate closely with our Senior Software Engineer, Senior Product Designer, and EA Forum Product Lead, along with other teams at CEA as needed.
We’re aiming to hire a mid-level software engineer, but we would consider hiring at the senior level for the right candidate.
ABOUT CEA
The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. We’re working to build a flourishing future by applying evidence, reason, and compassion to challenges like global poverty, animal suffering, and existential risks.
Our work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. Current strategic priorities https://forum.effectivealtruism.org/posts/QkE35oTsasMn37o7R/stewardship-cea-s-2025-26-strategy-to-reach-and-raise-ea-s-1 include increasing understanding of effective altruism and its principles, growing the number of people who are motivated by EA principles to take significant action to address pressing problems, and diversifying funding sources for high-impact work.
We had significant success in 2025, building momentum within CEA. Our headcount grew from 42 to 66 core staff. Participation in our programs (e.g., events, courses, groups) grew by 20-25% year over year. We merged https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging with EA Funds https://funds.effectivealtruism.org/ and are rapidly scaling up our capacity for grantmaking and associated fundraising: our first Fund staffed with full-time employees (EA Animal Welfare Fund https://funds.effectivealtruism.org/funds/animal-welfare), raised almost as much as the previous three years combined.
In 2026, we’ve maintained ambitious momentum https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 while laying the foundations for a step-change in the wider EA ecosystem’s growth trajectory from 2027 onwards.
ABOUT THE ONLINE TEAM
The Online Team is a small, fast-paced tech and content team with the expertise to build and run web products that help support and grow the number of people engaging with and applying EA principles to their careers, research, and donations.
We own and operate the EA Forum https://forum.effectivealtruism.org/, and provide critical design and engineering capacity for other CEA projects such as the EA Newsletter https://www.effectivealtruism.org/ea-newsletter-archives, the EA Opportunities Board https://www.effectivealtruism.org/opportunities, and our courses https://www.effectivealtruism.org/courses. Over the last few years we’ve also redesigned and rebuilt effectivealtruism.org http://effectivealtruism.org, funds.effectivealtruism.org http://funds.effectivealtruism.org, and centreforeffectivealtruism.org http://centreforeffectivealtruism.org.
The EA Forum in particular is one of the EA community building institutions with the widest reach, serving 700K annual visitors. As AI capabilities improve, we’re also exploring how integrating AI into CEA’s online product portfolio and internal tooling can help us have more impact.
Our team currently consists of Ollie Etherington https://github.com/oetherington, Senior Software Engineer, Agnes Stenlund https://www.linkedin.com/in/agnesstenlund/,Senior Product Designer, and Toby Tremlett https://www.linkedin.com/in/toby-tremlett-%F0%9F%94%B9-56a5b117a/, EA Forum Product Lead, and we plan to continue expanding in 2027.
ABOUT THE ROLE
CEA has ambitious goals https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 for 2027 and beyond, and we need more software engineering capacity in order to reach those goals.
We’re now looking to hire a full-stack engineer who can help make impactful improvements across all of our products. You’ll be implementing new features and bug fixes for various product managers, as well as proactively looking for ways to improve our online products yourself. You’ll be jointly responsible for DevOps, ensuring that all of our sites are fast and reliable, and you’ll take part in our weekly on-call rotation.
The vast majority of our code is written in TypeScript and is built on Node.js, React, Next.js, Postgres, and Elasticsearch. Our sites are hosted on Render, Vercel, and Cloudflare, and our analytics data is stored and processed in PostHog.
Some potential projects you may work on:
- We’re deep in the process of migrating https://gitlab.com/eaforum/eaforum the EA Forum codebase over to Next.js – if you join, you can help us establish the next evolution of key EA community infrastructure, which we hope will set stronger foundations for many years to come.
- We’ve recently hired product managers for the EA Opportunities Board https://www.effectivealtruism.org/opportunities and our courses https://www.effectivealtruism.org/courses who will continue driving these projects forwards – some of the changes they’re planning will require engineering.
- EA Funds https://funds.effectivealtruism.org/ is now part https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging of CEA, and has not had dedicated technical capacity in a long time. Their team would be excited to collaborate on how to make their processes more efficient using AI (they already have a long list of ideas!)
- In 2026, we’ve massively overhauled our analytics and data infrastructure, and we’d be excited for a data-minded engineer to continue pushing this project forward. Having a strong data foundation will be crucial for CEA’s ability to find product-market-impact fit https://forum.effectivealtruism.org/posts/DyncXLQ2ysb9K9dfR/you-need-user-buy-in-to-scale-your-impact to scale up our products.
- CEA is expecting to lean into virtual products in 2027, including running at least one major virtual event.
KEY RESPONSIBILITIES
Provide engineering support for multiple CEA teams
- Implement features and fix issues in our current products to support the work of others on the team.
- Proactively collaborate with other CEA teams to understand where you can provide value and fill technical gaps, such as by building internal tooling.
- Ship reliable, maintainable production code, and address high-priority bugs when they come up. AI tools can make us faster, but our work still needs to hold up over time.
- Ensure that we’re collecting relevant metrics and analytics data, and that it can be used by non-technical members of staff to inform decision-making.
- Share our weekly on-call rotation with our Senior Software Engineer, Ollie, triaging incoming requests and responding to urgent issues.
IMPROVE ENGINEERING INFRASTRUCTURE
- Help maintain and improve infrastructure, monitoring, deployments, and testing.
- Identify high-priority DX problems and develop solutions to help the team work more efficiently.
- Make justified and cost-effective decisions about what technologies and services we use to build our products.
WHAT WE’RE LOOKING FOR
We're hiring this role at either the Software Engineer or Senior Software Engineer level. The core expectations below apply to both, with additional expectations for the senior level noted at the end.
Core expectations for both levels:
- Solid full-stack engineering experience. You can independently build and maintain a product like an online forum (frontend, backend, databases, devops, and 3rd-party integrations). You explain your technical decisions clearly enough that teammates can push back. As a baseline, we expect you to be familiar with TypeScript, React, and Postgres, and that you can pick up our other technologies quickly. You write appropriate tests for new functionality.
- Impact focus. You care about real outcomes and not just shipped features. You gather data, evaluate your work, and iterate quickly. You're excited to explore new opportunities to use software to increase CEA’s impact.
- Autonomy. You're comfortable being one of two engineers in the organization, and can learn new skills as needed. You’re happy to own the technical-side of a project, working with non-technical product managers to implement ideas end-to-end, including proactively asking for support when necessary.
- AI fluency. You’ve used AI coding agents and have developed good judgment about where they help, where they fail, and how to verify their output. You can use them to speed up your work, but never at the expense of code architecture or maintainability.
YOUR CANDIDACY WILL BE STRONGER THE MORE YOU ALSO BRING:
- Devops. You have experience provisioning servers and databases for sites serving hundreds of thousands of active users. You can mitigate adversarial bot attacks, and set sensible, safe caching rules.
- Prioritization. You back-chain from organizational strategy to prioritize work on different products, and can work with product owners to provide realistic and achievable timelines for implementing changes and new features.
- Product thinking. You notice particularly good or bad user experiences and reflect on what makes them so, and you can combine these intuitions with targeted analytics data in order to tangibly improve products.
To be considered for the Senior level of this role, we require a candidate to meet the following criteria:
- Architectural ownership. You have a track record of independently owning the technical direction of a significant project (such as a major refactor or a new product), being clear about the tradeoffs you made and how you will address key risks.
- A track record of impact. You have a history of shipping production work that mattered to real users, and can point to specific cases where your work moved real outcomes.
- Strategic autonomy. You can take technical ambiguity and turn it into a credible plan, including translating broad goals into quarterly OKRs and contributing to technical direction at the team level.
We can imagine being excited about candidates with a wide range of different skills and experience, and encourage you to apply even if you aren't sure that you're fully qualified.
OTHER INFORMATION
- This is a full-time, remote position. We prefer applicants who are able to work in time zones between US Eastern Time and CET.
- We have an office in Oxford, UK, that you would have access to.
- Start date: January 2027 or sooner
- Reports to: Incoming Head of Digital Product (Joris Pijpers, Chief of Staff, Community Growth in the interim)
- Compensation
- Software Engineer
- US: For this role we offer a base salary of $134,900 and a 10% unconditional 401k contribution.
- Senior Software Engineer
- US: For the role we offer a base salary of $166,725 and a 10% unconditional 401k contribution.
- For candidates outside the US, base salary is converted from USD to your local currency using a fixed exchange rate
- Benefits include private health insurance, flexible work hours, a $6,000 annual professional development allowance, a $6,000 mental health support allowance, extended parental leave, ergonomic equipment, 25 days of paid vacation or country-specific time off entitlements, whichever is greater.
- This role will involve travel. There are likely 2-4 trips annually to attend team retreats and other events, including international trips.
We are committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply. We especially encourage applications from self-identified women and people of colour who are excited about contributing to our mission. The Centre for Effective Altruism is an equal opportunity employer. If you need assistance or an accommodation due to a disability, or have any other questions about applying, please contact jobs@centreforeffectivealtruism.org or inform the recruiter directly.
CEA participates in E-Verify for US employees.
We are committed to protecting your data. See our privacy policy https://www.centreforeffectivealtruism.org/privacy for more information.
EVALUATION PLAN
We expect the interview process to include the following steps, subject to minor changes:
- Application
- Screening interview
- Engineering interview
- Pair programming task
- Final interviews (2-3)
- Reference checks
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: Lappeenranta, Finland
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.
Employer:
Nebius DC Oy, Business ID 2541661-9
Job title:
Data Center L1 IT Technician
Primary work location:
Lappeenranta data centre
Temporary work location:
Mäntsälä data centre for training and onboarding until the Lappeenranta site is operational
Department:
Data Center IT Infrastructure
Number of positions available:
4
Ideal start date: February – April 2027
The role
As an
Data Center L1 IT Technician
, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.
You’re welcome to work at our data center.
Please note that during the construction of the Lappeenranta Data Center, onboarding & training for this role will take place at our Mäntsälä site.
Please note that this is a
shift work (day & night shift).
Your responsibilities will include:
Monitor and support the IT infrastructure as a shift worker (day & night shifts).
Diagnose and resolve issues related to server and network hardware within the data center.
Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
Manage and maintain fiber optic and patch cable connectivity.
Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
Collaborate with internal teams to resolve technical and operational issues.
Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.
Requirements:
Solid understanding of server and networking equipment.
Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
Proven ability to diagnose and resolve hardware-related issues.
A proactive, responsible, and results-driven work attitude.
It will be an added bonus if you have:
Valid Category B driving license.
Basic knowledge of the Linux operating system and familiarity with command-line tools.
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: Longcross, United Kingdom
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.
Please note that this role involves shift work from Friday to Monday, including both day and night shifts.
The role
As an
IT Datacenter Technician
, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.
You’re welcome to work at our data center.
Your responsibilities will include:
Monitor and support the IT infrastructure as a shift worker (day & night shifts).
Diagnose and resolve issues related to server and network hardware within the data center.
Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
Manage and maintain fiber optic and patch cable connectivity.
Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
Collaborate with internal teams to resolve technical and operational issues.
Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.
Requirements:
Solid understanding of server and networking equipment.
Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
Proven ability to diagnose and resolve hardware-related issues.
A proactive, responsible, and results-driven work attitude.
It will be an added bonus if you have:
Valid Category B driving license.
Basic knowledge of the Linux operating system and familiarity with command-line tools.
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: 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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Singapore, Sydney, or Tokyo
About the Role:
Do you love solving complex problems and interacting with people? Are you passionate about helping customers and are a standout colleague? Cloudflare is seeking a Technical Customer Support Engineer to join our team. You will work with our customers on a variety of technical support issues as well as the Technical Operations team that is responsible for running our global distributed network. This is a position where you will learn the inner workings of Cloudflare's technology and gain a deeper understanding of internet technologies. You will focus on providing support on our Developer Platform products: Workers, Workers AI, Pages, KV, Stream, R2, D1, DO etc.
Examples of desirable skills, knowledge and experience:
You are familiar with Developer Platform products
You have previous experience working as part of a team in a customer-facing role
You have experience solving HTTP, DNS and other networking-related problems
You have experience with a common web development language (for example, Javascript)
You understand how the Internet works
You have experience working in a support role where you thrived every time you resolved a ticket
You are comfortable communicating through various support channels and always put the customer first (Emails, Live Chats, Phone calls and virtual meetings)
You are a motivated self-starter and always looking to expand your existing skill set
Bonus Points
You are familiar with Cloudflare and have a site actively using our platform
You have a solid grasp of problem-solving with command line tools (curl/dig/traceroute/tcpdump)
You are familiar with Nginx, Apache, IIS or any other web servers
You are committed to gaining a deeper understanding of the following technologies: DNS / CDN - Cache / SSL / Cloudflare Workers
You have worked with PostgreSQL, MySQL, MS SQL or other database servers
You have experience with Cloudflare Workers and/or JavaScript
You have experience with Video encoding and streaming solutions
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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