Location: Chișinău
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production.
Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
Responsibilities:
Data collection and extraction:
working with databases, ERP systems, Google Sheets, and APIs.
Data cleaning and transformation:
Data Cleaning / Wrangling.
Report and dashboard development.
Data visualization:
selecting the most appropriate visualizations to communicate information effectively.
Ad-hoc business support:
responding to ad-hoc requests from different departments and supporting report users.
Documentation:
documenting analysis methodologies, data sources, and KPI calculation logic.
Report automation:
automating regular reporting, reducing manual operational work, and building data pipelines using ETL tools or scheduling features in BI tools.
Requirements:
Advanced SQL analysis:
writing complex queries using JOINs, CTEs, and window functions to retrieve and analyze the required data.
Building data pipelines and ETL processes:
designing and implementing reliable processes for extracting, transforming, and loading data from various sources into a centralized storage system (Data Warehouse, Data Lake).
Working with cloud platforms:
hands-on experience with Google BigQuery.
Data Storytelling:
ability to go beyond simply presenting charts and tell a clear, compelling story based on data that leads to specific business decisions. This includes structuring presentations and effectively communicating insights.
Strong knowledge of Power BI.
Tech Stack:
SQL, Power BI, Google BigQuery, Python.
Ajax Systems is a big team of professionals and open-minded people who share ambitious goals. Join in!
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale.
You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure.
Responsibilities
System Architecture & Integration
Design and implement multi-site controls architecture across Anthropic's global datacenter facilities
Define network topology, redundancy, and high-availability requirements for control nodes and servers
Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers
Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems
Control System Design & Implementation
Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments
Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems
Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring
Data Collection & Visualization
Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors
Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams
Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities
Construction Integration & Documentation
Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning
Define and review controls and instrumentation specifications in architectural and MEP packages
Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures
Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility
Minimum Qualifications
Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience
7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems
Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP
Experience with instrumentation selection, control panel design, and control system integration
Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management
Strong documentation skills and ability to work effectively in cross-functional teams
Preferred Qualifications
10+ years in datacenter, critical facilities, or mission-critical infrastructure environments
Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems
Background in high-density rack integration environments and AI/ML compute infrastructure
Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar
Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture
Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks
Experience deploying multi-site redundant controls servers with high-availability requirements
Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens)
Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA
Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools
Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Beograd, Serbia
Workplace: hybrid
About The Role:
At
Paysend
, our
products handle millions of money movements across markets
, where reliability and accuracy are critical. Behind every transaction is a complex set of systems and processes that need to work exactly as expected.
We are looking for a QA Engineer to join our team and help ensure the quality and reliability of our
web and mobile products.
You will test real-world customer scenarios across multiple platforms and services, investigating issues across
APIs, microservices, databases, and asynchronous processes
to understand what happens at every step.
We are looking for someone who combines
strong testing fundamentals with technical curiosity and a practical understanding
of how complex products work.
What You'll Do (Responsibilities):
Functional, regression and acceptance testing of user scenarios across web, iOS and Android.
Testing money flows: transfers, card top-up/withdraw, FX and rates, tariffs, limits, fees, bonuses and referrals.
Testing onboarding and KYC, including the integration with our verification provider (Sumsub).
Testing payment and authentication integrations: 3DS/SCA, Google Pay, Apple Pay, OTP and passcode.
API testing (REST/gRPC): inspecting requests, responses and traces, validating contracts and error handling.
Testing interaction between microservices: asynchronous scenarios, events in queues, idempotency, retries and degradation paths.
Verifying state in the database: transaction and process statuses, balances, profile data.
Requirements analysis and participation in grooming: reviewing user stories, raising questions about design and logic early, assessing risk.
Designing and maintaining test cases and test plans, tracking defects in Jira, taking part in release checks.
Preparing test data and working with test environments.
Mentoring junior colleagues and helping evolve QA practices and processes in the team.
What You’ll Need To Be Successful In This Role:
6+ years in manual testing, a meaningful part of it in fintech, banking, payments or another product that moves money.
Experience testing a single product across web and mobile (iOS/Android), with a good grasp of cross-device and responsive specifics.
Experience with and understanding of testing microservice-based applications: how to test a service in isolation and in combination, where to look for the root cause of a failure, what an asynchronous scenario is and why it breaks.
Hands-on experience with message brokers (Kafka, RabbitMQ or similar): reading and publishing messages, verifying events within a scenario.
Practical API testing: Postman/Insomnia or equivalents, working with REST, reading logs and traces; gRPC is a plus.
Confident SQL at the level of queries and joins (PostgreSQL or a similar database).
Basic programming skills in any language (Python, Java, JavaScript, etc.) — enough to write a script, read someone else's code and prepare test data.
Experience using AI tools to optimise and automate day-to-day work: generating and reviewing test cases, analysing logs, preparing data, speeding up routine tasks.
Experience with a test management system (Allure TestOps or similar) and Jira, and the ability to write clear, reproducible bug reports with enough context for a developer.
Confident use of browser dev tools and a debugging proxy for network inspection (Charles, Proxyman, Fiddler).
Systems thinking: the ability to decompose a scenario and find edge and negative cases, not just walk the happy path.
English at a level that supports fluent working communication in a distributed team.
Nice To Have:
Domain knowledge: the payment lifecycle, transaction statuses, currency conversion, fees and limits, KYC/AML requirements as they show up in the user journey.
Experience with Google Cloud Platform
An understanding of how E2E automation works (Playwright, visual regression) and the ability to shape manual coverage so that it complements it.
Experience with server-driven UI or configuration-driven scenarios.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines.
We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Drive technical roadmap and strategy for the Build Systems team
Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions
Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery
Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers
Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency
Mentor and uplevel the team through technical guidance, code reviews, and architectural leadership, leading by example and actively investing in your teammates’ growth
Collaborate with product engineers (your customers), infrastructure teams, and executive stakeholders, and communicate technical decisions clearly to audiences ranging from individual contributors to senior leadership
Keep up to date with industry trends and best practices in build systems, CI, and developer tooling, and incorporate applicable technologies into our roadmap
We’d love to hear from you if you have:
5+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams
Deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos
Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems
Hands-on experience with AWS, CI platforms (e.g., Buildkite), Infrastructure as Code, and strong coding skills in languages such as Go, TypeScript, Python, or Ruby
Proven technical leadership, with a track record of setting technical direction, driving cross-team initiatives, and communicating effectively across a wide range of stakeholders
While it’s not required, it’s an added plus if you also have:
Experience migrating large codebases to modern build systems (especially Bazel)
Experience building test frameworks and improving test infrastructure
Have excellent problem-solving skills, using a systematic and thorough approach grounded in first principles, with a bias for action and a strong focus on impact
You’re willing to work on grungy problems when they have a high impact on the business or the health of our platform
Care deeply about the quality of the software and systems you build, with an artisan mentality and a constant drive to improve your craft, while striking the right balance between idealism and pragmatism
Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$185,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption.
You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations.
WHAT YOU'LL DO
- Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires.
- Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures.
- Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems.
- Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data.
- Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations.
- Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable.
- Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments.
- Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities.
REQUIRED SKILLS AND EXPERIENCE
- 4+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles.
- Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code.
- Experience with Kubernetes and cloud-native technologies in production environments.
- Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS.
- Experience with infrastructure as code (Terraform) and configuration management.
- Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement.
- Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts.
- Strong debugging skills with an ability to trace issues across distributed systems.
- Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
NICE TO HAVE
- Experience with Google Cloud Platform (GCP) services, networking, and IAM.
- Experience building multi-tenant or single-tenant SaaS infrastructure.
- Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements.
- Experience with customer-managed encryption keys (CMEK/BYOK) implementations.
- Background in developer platforms, cloud IDEs, or developer productivity products.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Salt Lake City, Utah, United States
About the Role
iCapital is looking to a hire a Vice President to join the Platform Infrastructure team. This team plays a critical role in keeping the production and development environments running smoothly and securely. This role will utilize advanced cloud capabilities to facilitate Platform Infrastructure strategy of market agility and lean operating principles with a strict focus on quality to meet the ever-growing demands of clients. The ideal candidate is highly collaborative, creative, intellectually curious and passionate about forming and implementing cutting-edge cloud computing capabilities. As a Platform Engineer, this individual will be wearing multiple hats in a highly visible role interacting with all aspects of the business.
Responsibilities
Build highly available solutions across the entire SDLC stack with a primary focus on an internet facing fintech site.
Coordinate the relationship between the Platform Infrastructure team and the Information Security Team in remediating security issues related to platforms, CI/CD pipelines, or development tools.
Contribute to security best practices for shifting security left and establishing a strong security culture within the DevOps and Platform Infrastructure team.
Develop and maintain tools to support the development environment on MacOS and Linux tool environment with focus on improving developer productivity.
Maintain site reliability with a focus on building highly scalable systems integrating resiliency and high availability at all levels.
Develop software and tooling to secure and automate cloud infrastructure building software delivery capabilities with fully automatic workflows.
Design and operate a Kubernetes environment for container management and orchestration.
Qualifications
6+ years of DevOps or SRE experience with 4+ years of AWS experience
6+ years of CI/CD pipeline development in GitLab, GitHub, or similar frameworks
3+ years of experience with security best practices in AWS, including remediating SecurityHub findings
3+ years of experience with DevSecOps tools, including SAST tools, DAST tools, and SCA tools
Microservices (Docker, Kubernetes) experience in a production environment is strongly desired
Strong Linux OS-level and command-line and scripting knowledge and configuration management principles
Working knowledge of databases such as MongoDB, Postgres, and DynamoDB
Coding beyond simple scripting with strong opinions on maintainable and reusable code in Python, Ruby or Java is desired
Experience with computer provisioning on a Cloud based platform using Terraform or Cloud formation
Exceptional analytical skills and able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions
Experience building a Microservice based architecture
Strong written and verbal communication skills
Able to design and implement complex, but easily managed, automated infrastructure
A desire to share, teach and learn as part of a team
Expert level knowledge of networking
Experience with distributed systems design, maintenance, and hands-on troubleshooting
Experience with debugging issues with the FIX protocol to include maintaining and establishing fix sessions and or session management + order routing
Experience in system tuning and performance testing
AWS certifications are a plus
Benefits
The base salary range for this role is $150,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.
Responsibilities
Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team
Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap
Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years
Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion
Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them
Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale
Partner with research leads to translate ambiguous research questions into durable engineering solutions
Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health
You may be a good fit if you:
Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization
Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams
Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates
Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability
Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction
Are a power user of agentic coding tools with deep intuition about model capabilities and limitations
Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly
Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of
Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both
Strong candidates may also have experience with:
Designing or scaling eval/evaluation frameworks for ML systems
Reinforcement learning infrastructure or training systems
Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm
Research computing, scientific infrastructure, or developer platforms at scale
A strong quantitative foundation (math, physics, or related fields)
Expertise in Python and TypeScript
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real-world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Proficiency in Python or Rust
Software engineering experience building and operating distributed systems in production
Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure)
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Significant experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience building load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Deep experience operating Kubernetes and cloud infrastructure at scale
Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware)
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£390,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🤘 HOW WE DO IT ?
People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
🎯 What drives us - We're obsessed with helping members live healthier
- Mission is the Boss: long-term thinking, mission above all else
- Member & customer-led: obsessed with solving problems and delighting users
🏆 How we build excellence - We hire the best and empower them to succeed
- Champions of excellence: extremely high standards and talent density
- Distributed ownership: everyone owns their decisions and results
- Radically transparent: all information accessible, written-first, async decisions
🤝 How we grow together - We improve through honest feedback and bold thinking
- Optimistic alchemy: optimists who collaborate with genuine care
- Empathetic challengers: direct, caring feedback to help each other grow
- Bold contrarians: think differently, try new approaches
⚡ How we move fast — We fight complexity and focus on what matters
- Disciplined execution: decisive action with compounding focus
- Fight for simplicity: high-impact processes, smart frugality
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is Python/Flask, React, React Native, PostgreSQL.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
🌐 ENABLING GLOBAL-FIRST PRODUCT DEVELOPMENT
In Alan's early expansion https://medium.com/alan/an-unexpected-journey-the-tale-of-the-backend-architecture-at-alan-ac8c5382df60, we made a strategic decision to create separate codebases for each country we ventured into. This approach allowed us to quickly adapt and tailor our applications to meet the unique healthcare and regulatory requirements of France, Belgium, Spain, and Canada.
In 2024 https://medium.com/alan/engineering-challenges-at-alan-in-2024-686688f6b89d, we reached a crucial point where it was essential to merge these codebases into global, configurable modules. Yet, writing local code is still easier than building global solutions. The Global Architecture team is central to this transformation — our goal is to enable any team at Alan to develop and launch features seamlessly across markets, as outlined in our 2025 technical strategy https://medium.com/alan/alans-2025-technical-strategy-building-tomorrow-s-stack-today-a070bcb345a6.
🚀 Your mission
- Design Cross-Cutting Modules You'll transform country-specific implementations into elegant global components that will become the new building blocks of other teams to build global features
- Remove Technical Blockers for Product Teams You’ll tackle technical blockers that cut across several domains and eliminate the need for team-specific workarounds, allowing product teams to focus on their core business
- Orchestrate Data Transformations You'll implement strategies to harmonize different countries' data models without losing local flexibility and consolidate existing data into unified schemas
- Build and Own What You Create You'll be responsible for the entire lifecycle of your solutions, from initial design through long-term maintenance. We don't just design — we build, deploy, and maintain what we create
🌟 Why This Role Matters
- Focus on High-Impact, Cross-Domain Solutions You work exclusively on blockers that span multiple business domains that are heavily depended upon. This means every solution you build has an impact across multiple teams
- Enable Teams, Don't Replace Them Your job isn't to substitute other teams or globalize everything. Instead, you'll work on technical obstacles that prevent teams from building global-first solutions and work with them to remove those obstacles
- Learn and Share Globalization Patterns As you design and implement global solutions, you'll develop an expertise in globalization patterns. You'll share these learnings with other teams, helping them make better decisions about global vs. local solutions in their own work
🚀 What we're looking for
- You write code and maintain what you build. At Alan there is no architect in an ivory tower, we implement what we design
- You’re able to navigate complex systems spanning multiple business domains and technical boundaries
- You've worked with diverse architectural patterns and can articulate the nuanced trade-offs between them
- You can spot technical obstacles that are blocking multiple teams and design solutions that remove those obstacles
⭐ IS IT YOU WE’RE LOOKING FOR?
We are looking for problem-solver engineers with 5+ years of experience who get excited about simplifying complex business problems:
- You’ll be able to tackle high-impact & high-risk projects involving many engineers.
- You’ll design efficient systems and engineering practices to align with and facilitate interactions between multiple teams/products.
- You’ll have the opportunity to mentor other engineers & lead crews (more details in this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan).
- You’ll be able to contribute to hiring your future coworkers and shape candidates’ hiring experience (improving our technical assessment process etc...)
You would be a good fit at Alan if most of this sounds like you:
- Well-versed in Object Oriented Programming such as Python, Java, C#, and enthusiastic about web technologies such as modern Javascript.
- Willing to work in Python/JavaScript (but you don’t need to have experience with those 2 languages!).
- Passionate about building products.
- Self-starting and entrepreneurial.
- Humble and still willing to grow (no matter your seniority!).
- Collaborative, enthusiastic about teamwork, learning, and teaching.
- Fluent in English (no need to speak French!).
For this opportunity, we are aiming to hire within the D-F level range.
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
🔄 A quick note about the process
Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
Your responsibilities will include:
Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
Establishing MLOps practices, including orchestration, observability, and experiment tracking.
Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
Defining hiring criteria, growing the ML team, and shaping the ML team culture.
We expect you to have:
A proven track record as an ML/AI Lead.
At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
Hands-on experience with:
Prompt engineering and LLM pipeline design, including evaluation.
Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
Vector databases and retrieval-augmented generation (RAG) patterns.
Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
Strong Python skills – Kotlin knowledge would be a plus.
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
Proficiency in English, both written and verbal.
Our ideal candidate would have:
Experience with ontologies, knowledge graphs, or graph-based reasoning.
Experience in early-stage startups – you enjoy the zero-to-one phase.
The ability to think strategically about product-led AI, beyond just training models in isolation.
A background in code analysis, developer tools, or software engineering research.
Experience with multi-agent systems or complex agentic workflows.
Actively contributed to relevant open-source projects or publications.
What we offer
A competitive salary and JetBrains benefits.
A generous runway and corporate resources with startup autonomy.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Pune; Bangalore
Workplace: remote
IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion.
We are looking for a skilled Senior Data Engineer (with AI/ML exposure) to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!
* The interview process will be conducted in English.
Responsibilities:
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence.
Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.
Requirements:
Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows.
Excellent English communication skills.
Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources.
Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift.
Effective oral and written communication skills with BI team and user community.
Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.
Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.
Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments.
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
Pluses:
Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.
What we offer:
Remote work opportunity!
B2B Employment ($, gross) or full-time employment option.
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Really good hardware.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
Please attach CV in English.
The interview process will be conducted in English.
Only accepting applicants from INDIA
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Implement Go-to-Market software for our marketing, sales, and agent development teams
- Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation
- Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources
- Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand
- Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models
- Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change
- Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts)
WHAT YOU'LL BRING
- 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company
- Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone
- Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time
- Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale
- Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems
- Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel
- Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones
EVEN BETTER…
- Built applications using LLMs, ideally with exposure to production-grade AI/ML systems
- Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS
- Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Dubai, United Arab Emirates
As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is
primarily operations-focused (90%)
, with hands-on involvement in
implementation, configuration, and setup
of AI infrastructure and MLOps workflows.
You will play a key role in managing, operating, and guiding the deployment of a
strategic AI environment
, working closely with the customer as a technical advisor and hands-on engineer.
What about the role responsibilities?
Operate and maintain AI infrastructure and MLOps platforms in a production environment.
Monitor, manage, and troubleshoot Kubernetes-based AI workloads.
Perform
Acceptance Testing Planning and Execution
for AI infrastructure and platforms.
Ensure stability, performance, and availability of AI systems.
Support day-to-day operational tasks across compute, storage, and networking layers.
Install and configure
NVIDIA Enterprise AI Stack (NVAI)
.
Configure and manage
MLOps platforms
such as
Kubeflow and MLflow
.
Assist in setting up
end-to-end AI workflows
, including data pipelines.
Support the initial implementation phase of the AI environment.
Act as a technical guide and advisor to the customer during the early stages of their AI adoption.
Requirements
What should you have to fit in this role?
Technical Requirements
AI / MLOps Stack
Proficient experience with the NVIDIA Enterprise AI Stack
Familiarity with Ubuntu Linux
Experience with Kubernetes
Knowledge of Kubeflow / MLflow
Experience with QFLOW (an open-source AI data pipeline management tool)
Programming & Automation
4–6 years of practical experience in:
Python
Jupyter Notebook / JupyterLab
Competence in writing, testing, and maintaining operational scripts and AI workflows.
Infrastructure Experience
Practical experience with enterprise infrastructure, encompassing:
Dell PowerScale
(5 nodes)
XE Server
(1 node)
Dell R570 Servers
(5 nodes)
Dell Network Switches
(2 switches)
GPU-based AI servers
(in a small-scale environment)
Environment Overview
Initial implementation of AI
Compact configuration:
1 GPU server
1 PowerScale
5 control plane servers
Opportunity to shape best practices from the ground up
To succeed in this role, it's nice to have:
• Familiarity with data frameworks like Apache Spark or Hadoop for data processing.
• Understanding of ML model monitoring and logging practices to ensure system reliability.
• Experience with security best practices in AI systems.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged.
This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones.
We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow.
You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking.
Responsibilities:
Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site
Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel
Define technical direction for the team—establish patterns others can follow
Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy
Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders
Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers
Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization
You may be a good fit if you have:
Strong full-stack engineering with design sensibility
6+ years building and shipping web products, with deep expertise across the stack
Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail
Solid back-end and data pipeline experience: Python, API design, analytics infrastructure
A portfolio showcasing innovative interaction designs and high-quality implementations
Track record of independently driving features from prototype to production
Deep conviction about human capability
Strong perspective on how technology should enhance human capabilities rather than diminish them
Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable
Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes
Research mindset with product execution
Comfort with ambiguity and exploring undefined problem spaces
Ability to rapidly prototype, test with users, and iterate toward production
Strong instincts for product design and user experience, even without formal design training
Strategic leadership and coalition building
Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders
Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner
Strong sense of prioritization—knowing what to build now, what to defer, and what to cut
Track record of influencing roadmaps and decisions beyond your immediate team
Strong candidates may also have:
Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site
Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)
Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production
Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity
Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy
Experience building AI-native product experiences or working with LLMs in production contexts
Strong candidates may also have
Background in learning sciences, cognitive science, HCI, or educational psychology
Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement
Published writing, talks, or open-source work on skill development or human-AI interaction
Experience building AI-native product experiences or working with LLMs in production
What this role is not
This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: One Kattameya, Cairo
Workplace: onsite
We’re looking for a DevOps Engineer to own and evolve our cloud infrastructure, CI/CD pipelines, and reliability practices. You’ll play a key role in enabling fast, secure, and resilient product delivery while working closely with engineering, product, and security teams.
What you'll do:
Design, build, and maintain scalable cloud infrastructure (AWS/GCP/Azure)
Own CI/CD pipelines and deployment automation.
Improve system reliability, availability, and performance (SRE mindset)
Implement Infrastructure as Code (Terraform, CloudFormation, etc.)
Enhance monitoring, logging, and alerting systems.
Ensure security, compliance, and best practices across environments.
Support production systems and lead incident response when needed.
Contribute to DevOps best practices across teams.
To succeed in this role, you'll need to have:
3+ years of professional experience in DevOps Engineering.
Strong experience in cloud platforms (AWS preferred)
Solid background in Linux, networking, and system architecture.
Experience with containers and orchestration (Docker, Kubernetes)
Proficiency in CI/CD tools.
Hands-on experience with IaC tools.
Hands-on experience with Kubernetes is a must.
Familiarity with monitoring tools.
Strong scripting skills (Bash, Python, or similar)
Experience in high-availability, production environments, Fintech is a plus.
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Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
