Location: Berlin
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
WHAT YOU WILL DO
The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next.
Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built.
This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe.
Key Responsibilities:
- Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud.
- Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances.
- Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end.
- Push the state of the art in embedded database performance, distributed execution, and DuckDB internals.
- Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation.
- Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most.
- Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems.
- Mentor teammates and help raise the bar for engineering practices across the team.
- Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next.
WHAT YOU BRING
- You've built and shipped complex backend systems, and you know what great looks like.
- You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.)
- A good foundation in query engines, execution plans, indexing, and performance optimization techniques.
- Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at.
- You've worked with cloud infrastructure, networking, and building low-latency distributed systems.
- You can scope and lead projects that span multiple collaborators and cross-functional dependencies.
- You take pride in clear thinking, careful design, and thoughtful tradeoffs.
- You're comfortable mentoring peers and helping build a collaborative, high-agency environment.
- You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs.
WHAT WE PROVIDE
- The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases.
- Competitive salary and stock options so you have a stake in our flock’s success.
- Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond.
- A good pension plan
- Legendary company events – we bring the whole flock together once a year for unforgettable team gatherings a year to keep our bonds strong.
- Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day.
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Location: New York City
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
WHAT YOU WILL DO
The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next.
Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built.
This role is ideally based in New York City but also open to great candidates remotely on the East Coast.
Key Responsibilities:
- Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud.
- Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances.
- Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end.
- Push the state of the art in embedded database performance, distributed execution, and DuckDB internals.
- Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation.
- Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most.
- Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems.
- Mentor teammates and help raise the bar for engineering practices across the team.
- Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next.
WHAT YOU BRING
- You've built and shipped complex backend systems, and you know what great looks like.
- You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.)
- A good foundation in query engines, execution plans, indexing, and performance optimization techniques.
- Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at.
- You've worked with cloud infrastructure, networking, and building low-latency distributed systems.
- You can scope and lead projects that span multiple collaborators and cross-functional dependencies.
- You take pride in clear thinking, careful design, and thoughtful tradeoffs.
- You're comfortable mentoring peers and helping build a collaborative, high-agency environment.
- You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs.
WHAT WE PROVIDE
- The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases.
- Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success.
- Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest).
- Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond.
- 401k plan – because even ducks need to plan for the future.
- Legendary company events – we bring the flock together twice a year for unforgettable team gatherings a year to keep our bonds strong.
- Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Location: United States, Aliso Viejo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Staff Software Engineer (Linux Kernel)
Aliso Viejo, CA
Role Overview
Sony Interactive Entertainment LLC seeks a Staff Software Engineer (Linux Kernel) in Aliso Viejo, CA to develop new Linux kernel drivers and features for servers and embedded hardware.
Requirements
Master’s degree in Computer Engineering, Computer Science, or related field or equivalent, and two (2) years of experience leading platform-enabling efforts for processors using Linux Kernel; upstreaming code contributions to Linux kernel systems; programming Client Integrated GPUs, Discrete GPUs, and Datacenter GPUs using C/C++, Rust, Python, and source code management tools including Git; developing low-level Linux kernel systems; analyzing technical problems, debugging, and troubleshooting computer systems; developing device drivers and software for servers and embedded systems; developing and utilizing hardware and software architectures for AI and machine learning systems; performing advanced debugging techniques including tracing using performance tools including EBPF; connecting high speed components by employing PCI Express standards and advanced PCIE protocol analyzer and oscilloscopes tools; and in the execution of duties, utilizing C, C++ and Linux Kernel.
Telecommuting and/or working from home may be permissible pursuant to company policies.
Please refer to our
Candidate Privacy Notice
for more information about how we process your personal information, and your data protection rights.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$242,349.00 – $297,400.00/year
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments.
Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability.
What You’ll Be Doing
Infrastructure Architecture and Evolution:
Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams.
AI Native Engineering Capabilities:
Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions.
Infrastructure for Multiple Languages:
Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort.
Monorepo
and Build Systems:
Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution.
CI/CD
and Quality Engineering:
Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk.
Observability and Reliability:
Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements.
AIOps and Automated Remediation:
Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work.
What We Look For In You
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership.
Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems.
Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments.
Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations.
Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies.
Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows.
Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution.
Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams.
Nice to Haves
Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred.
Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms.
Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production.
Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments.
Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability.
What You’ll Be Doing
Infrastructure Architecture and Evolution:
Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams.
AI Native Engineering Capabilities:
Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions.
Infrastructure for Multiple Languages:
Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort.
Monorepo
and Build Systems:
Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution.
CI/CD
and Quality Engineering:
Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk.
Observability and Reliability:
Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements.
AIOps and Automated Remediation:
Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work.
What We Look For In You
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership.
Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems.
Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments.
Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations.
Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies.
Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows.
Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution.
Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams.
Nice to Haves
Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred.
Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms.
Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production.
Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
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: 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: Thessaloniki, Greece
CENSUS is an internationally acclaimed Cybersecurity services provider. We support the needs of multiple industries, providing IT and OT security assessment services to public and private organizations around the world, including international financial institutions and Fortune 500 companies. Powered by cutting-edge research, scientific analysis, and real-world engineering, we deliver unparalleled security assessment services for software, devices, infrastructure, and organizations. Learn more about CENSUS at census-labs.com.
About the Role
CENSUS is looking for an Android Vulnerability Researcher specializing in the discovery, documentation and exploitation of software vulnerabilities, utilizing code auditing, reverse engineering and security testing methodologies.
Projects will target the Android ecosystem, usually userland and kernel, but bootloaders, hypervisors and TEEs are also possible.
This is a hands-on, low-level research role that will require the development of exploit code and advanced chaining and post-exploitation techniques, beyond a simple proof-of-concept.
Requirements
Strong problem solving, analytical and presentation skills.
Strong understanding of computer architecture concepts and assembly language
with a focus on AArch64 and x86_64.
Code auditing skills for C, C++, Java/JNI. Python, Rust and Kotlin are
considered a plus.
Reverse engineering skills for the above architectures.
Experience with Android debugging and its idiosyncrasies, preferably both
userland and kernel.
Ability to design and develop fuzzing techniques.
Be confident with the Android ecosystem; building and modifying AOSP,
updating and rooting devices, developing tools and applications for
proof-of-concept etc.
Fluent in English.
Good communication skills.
Responsibilities
Work as part of a team.
Ability to work independently with minimal supervision.
Understand interactions between Android components, map the attack surface
and come up with novel attack scenarios and vulnerabilities.
Understand existing exploit chains, test, port and maintain their components.
Document findings and convey the information to the rest of the team.
What We Offer
Please note that some of the benefits listed below are applicable only to full-time employees in locations where CENSUS has a legal entity.
The chance to be part fast-growing, global cybersecurity company
A collaborative, purpose-driven team with a strong learning mindset
Competitive salary and benefits, such as but not limited to:
Birthday Paid Day off
Coffee, lunch and office snacks free of charge
Private Medical and Life Insurance covering employees & family members
Funded certifications & postgraduate programs
Recognition programs including a welcome gift, a new year celebration gift, referral bonus and long service vouchers
Exposure to international teams, leaders, and challenges
Opportunities for professional growth, development, innovation, and more!
Apply today to start the conversation with the People & Culture Team.
CENSUS is an equal opportunity employer. The Company does not discriminate on the basis of race, color, creed, pregnancy, religion, gender, national origin, age, disability, marital, or any other legally protected status. The Company also makes reasonable accommodations for disabled employees. Finally, the Company prohibits the harassment of any individual based on their protected status. This policy applies to all areas of personnel actions including recruitment, hiring, training, promotion, compensation, benefits, transfer, and social and recreational programs.
LI | Remote
Location: Nicosia
Job Overview
Server Core team develops and maintains critical core services. We work on code that handles game clusters, manages game realm connectivity, stores player data, manages player inventory and assets, distributes game sessions in the most optimized way, and integrates server with external services. Given the large number of concurrent players, our work is important for ensuring stability, and a smooth gaming experience.
As a cohesive team, we value cooperation and problem-solving. If you're passionate about high-load systems and want to shape the future of a globally connected game, we would love to hear from you!
Reports to
Server Core Lead
What will you do?
Own complex features end-to-end, from requirements to production
Decompose large problems into manageable tasks, define service/module boundaries
Ensure scalability, performance, and fault-tolerance
Improve engineering culture: tools, testing, observability, automation
Mentor mid-level engineers and support team decision-making
What are we looking for?
5+ years of professional development experience with C++ or other statically typed languages such as C#, Java, or Rust
Willingness to work primarily in Python; prior Python experience is a plus
Experience building and maintaining complex, stateful backend systems
Solid understanding of concurrency, multithreading, and asynchronous execution
Experience investigating and resolving performance issues
Hands-on experience with databases, query optimization, caching, and messaging
Skilled in monitoring, logging, and observability practices
Experienced in building reliable, secure backend systems
Guides less experienced developers
Makes sound technical decisions under ambiguity
Ensures delivery of features that create real user value
Raises the overall technical quality bar
Advanced level of English language
Work mode
Onsite
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Kyiv, Ukraine; Lviv, Ukraine
New opportunities in Ukraine!
🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects.
We invite a Senior QA Engineer to join our team and help evolve a large-scale blockchain-based platform for private markets. In this role, you’ll own end-to-end quality assurance, combining hands-on manual testing with building and expanding test automation across backend services, distributed systems, and blockchain integrations. You'll help establish testing approaches and automation practices from the ground up, working closely with engineering teams and business stakeholders to ensure reliable, high-quality releases.
🟩 What's in it for you:
Work on an innovative blockchain platform designed to bring trust and transparency to private markets
Deepen your expertise in blockchain systems, distributed architectures, and complex integrations
Drive the development of test automation frameworks and help shape quality practices across multiple projects
✅ Is that you?
5+ years in QA/SDET roles, covering both manual and automated testing across the full SDLC
Strong experience with backend and non-UI test automation
Hands-on experience developing, maintaining, and debugging automated tests
Strong programming skills for test automation, preferably with TypeScript/Node.js
Ability to define QA strategies, test plans, and quality gates from the ground up
Understanding of blockchain fundamentals, including wallets, transactions, and blockchain types
Experience testing REST APIs and RPC-based interfaces (JSON-RPC, gRPC)
Experience with Docker-based test environments and debugging containerized services
Experience integrating automated tests into CI/CD pipelines and establishing quality gates
Experience with AWS-based infrastructure
Experience with MongoDB or PostgreSQL
Strong analytical and problem-solving skills to identify risks and propose solutions
Ability to independently manage testing activities, take ownership of deliverables, and proactively communicate progress and blockers
Ability to adapt to changing priorities and demonstrate a flexible, hands-on approach to testing
Ability to define testing scope and balance test coverage between QA and engineering teams
Strong communication and collaboration skills across multiple stakeholders and teams
Upper-Intermediate+ English level
Desirable:
Hands-on experience testing blockchain systems, smart contracts, and transaction flows
Experience with Go for test automation
EVM testing experience using Foundry, Hardhat, or similar frameworks
Ability to read and understand Solidity or Rust code for smart contract validation
Experience with Layer 2 solutions and blockchain protocol testing
Experience testing asynchronous messaging systems (AWS SNS/SQS, Azure Service Bus)
Experience with Kubernetes
Experience with observability-driven testing
Experience testing MCP servers
Experience with performance and load testing
🧩
Key responsibilities and your contribution
In this role, you'll lead testing activities across blockchain-based applications, from requirements analysis and manual validation to test automation and release support.
Review business requirements and technical documentation to understand system functionality and identify testing needs
Manually test new features and existing functionality to understand system behavior and guide test automation efforts
Define and improve QA strategies, test plans, and quality gates
Establish testing ownership and coordinate responsibilities between QA and engineering teams
Work closely with engineering and product teams to define test coverage and acceptance criteria
Build and maintain automated test suites, frameworks, and test harnesses, focusing on backend, integration, and contract testing
Test blockchain integrations, smart contracts, REST APIs, JSON-RPC endpoints, MCP servers, and other blockchain-specific functionality
Integrate and monitor automated tests within CI/CD pipelines and quality gates
Investigate and troubleshoot issues across distributed systems and blockchain integrations
Adjust testing priorities and approaches as project needs evolve
Maintain test documentation, report quality risks, and communicate testing progress and blockers
Help expand automation coverage and improve QA practices across multiple projects
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract
Interested? Find out more:
📋
How to Join Us
💻 LinkedIn Page
📈 Our website
💻 IG Page
By submitting application, I've read and agree to the Dev.Pro
Private Policy and Consent on Processing of Personal Data
. I agree to have my Personal Data being stored and processed by Dev.Pro.
Location: Remote, Canada
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow.
Why you’ll love this role
Ownership:
You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users.
Learning and Growth :
You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment.
Innovative Culture:
You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what.
What you’ll do
Own and Ship Features:
Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages.
Build for Production:
Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior.
Test and Review:
Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk.
Operate What You Build:
Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it.
Leverage AI:
Use AI productively in daily work, validate what it produces, and understand where its limitations matter.
On Call Support:
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Backend Fundamentals:
Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals.
Adaptability:
Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language.
Feature Ownership:
The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time.
Practical Judgment:
Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling.
Clear Communication:
Strong written communication and effective collaboration in a remote, asynchronous environment.
AI Fluency:
Practical experience with AI coding tools, including the ability to review and correct what they generate.
Helpful experience
Production Go services, APIs, concurrency, profiling, or gRPC.
Docker, Kubernetes, Helm, CI/CD, or cloud deployment.
Rust, particularly for systems, security, performance, or platform work.
PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows.
Observability using metrics, logs, traces, dashboards, and alerts.
Contributing to a modular monolith, bounded context, shared component, or independently operated service.
Remote-Global
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: US, San Diego, CA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We’re looking for a Software Engineer II to join our Platform Infrastructure team in San Diego. You’ll help build the software and tools that enable our robots to run trusted software on trusted hardware, working with security, firmware, and platform engineers across the device lifecycle.
WHAT YOU'LL DO
- Build and maintain software and tools for trusted boot and device provisioning, working with NVIDIA secure boot and UEFI. For example, you might help bring up a secure boot flow on a new device or build tooling to provision and verify device credentials.
- Contribute to device trust and key protection using hardware roots of trust, including Trusted Platform Modules (TPMs), and security technologies such as ARM TrustZone.
- Contribute to device key management though the use of Hardware Security Modules (HSMs).
- Write, test, and debug software and scripts in Linux, and investigate issues across software and hardware.
- Identify and reduce attack surfaces across device software, boot flows, and supporting tools.
- Collaborate with security, firmware, cloud, manufacturing, and other engineering teams through design discussions, code reviews, and documentation; own well-scoped projects from design through implementation and testing, with input from experienced teammates.
WHAT YOU BRING
You’re a curious, collaborative engineer who takes ownership, works through unfamiliar problems, and wants to deepen your skills in device security. You’ll bring:
- Software engineering experience — Typically 1–3 years of full-time experience building, testing, and maintaining production-quality software, or equivalent experience.
- You have a strong foundation in object-oriented programming and software design.
- You can read and reason about code, identify logic errors, and learn to contribute across C++, Python, and Rust codebases
- Prior experience in all three languages is not required. B.S. or M.S. in CS, CE, EE, or a related field.
- AI-assisted development — You’re comfortable using AI-assisted development tools and can understand, review, and validate the code they produce.
- Security fundamentals — Familiarity with authentication, encryption, cryptographic keys, and trust boundaries, and an interest in applying them to hardware devices.
- Linux and tooling — Comfort working in Linux and using scripting languages such as Python or Bash to automate tasks, build tools, and investigate problems.
- Problem-solving and collaboration — A thoughtful approach to unfamiliar problems, attention to detail, and the ability to communicate clearly, seek feedback, and follow work through.
- Experience with key management and/or NVIDIA platforms, such as Jetson, is a plus
- Ability to work on-site at our San Diego office.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $123,000-$154,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the Company
Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers the company’s three-sided marketplace of consumers, merchants, and riders.
About the Role
We are looking for experienced engineers to join the EU Traffic team, based at Deliveroo, part of DoorDash, and help build the next generation of DoorDash’s Traffic platform. We are building a single, shared platform designed to serve DoorDash, Deliveroo, and Wolt, so your work will shape reliability and security for all three marketplaces. Our team owns the infrastructure that carries every request into and through that platform: the edge, where we manage Cloudflare (CDN, DNS, rate limiting, bot mitigation) and the ingress systems for external traffic, and service-to-service (S2S) communication, where we run the service mesh and the authentication that secures calls between thousands of services across multiple regions.
You will work on core components of our traffic stack, including our Cloudflare edge configuration (managed as code), and service-to-service authentication and authorization (workload identity, token issuance and validation at the mesh layer). This role sits at the intersection of distributed systems, networking, and security. It includes designing, building, and maintaining systems that must operate reliably and efficiently across some of the most critical and latency-sensitive workloads at DoorDash, from the first byte at the edge to the last hop between services.
You will report to the Engineering Manager of the EU-Traffic Team within the Infrastructure organization. This role is hybrid working from London.
You’re excited about this opportunity because you will…
Design and build large-scale distributed systems that are high RPS and latency sensitive
Troubleshoot, debug, and fix issues that affect production and maintain our SLAs
Work collaboratively with other platform and product engineers to deliver on feature requests and solve their problems
Find ways to improve the team’s productivity and operational capabilities through the use of automation, AI tools, and other avenues
Participate in a shared on-call rotation and help lead production investigations and incidents, with support from teammates
Mentor and learn from teammates through design reviews, pairing, and incident reviews
We’re excited about you because…
You have 5+ years of experience as a software engineer in infrastructure, networking, or platform engineering/SRE
Experience operating edge technologies at scale, such as CDN, WAF, proxy layers, and DNS
Solid understanding of networking fundamentals like TCP/IP, HTTP, HTTP/2, gRPC, Load Balancing
Background working on and debugging high-QPS or latency-sensitive systems
You’re curious, collaborative, and comfortable making progress in ambiguity
You work AI-first: you delegate to and orchestrate coding agents (e.g., Claude Code, Codex, Cursor) across design, implementation, testing, incident response, and releases
If you don’t meet every requirement but are excited about this work, we’d still love to hear from you.
Bonus points if you…
Experience with programming languages like Go, C++, Python or Rust
Experience with AWS, especially with networking primitives like LBs, Privatelink, etc. and Kubernetes or other container management tool
Experience with service mesh technologies such as Envoy, Istio or Linkerd
Familiarity with xDS or control plane architectures
Experience building RPC frameworks or client-side networking libraries
Experience with Infrastructure as Code tooling like Terraform
Experience with Gitops delivery tooling such as ArgoCD, Helm, Atlantis.
Track record of sharing prompts, tooling, and practices that make a whole team faster with AI
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: 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
As a Senior Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic.
The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established methods, documented, versioned, and maintained after launch.
You'll own that standard. You'll write a large share of the code yourself, decide when something is ready to ship, and stay with it once people start using it. You'll also be an active member of the biology software community: maintaining public repositories, answering issues, speaking at conferences and workshops, and bringing what you hear from researchers back into what we build next.
We use Claude and AI coding agents heavily to build software, and we expect you to do the same across design, implementation, testing, and review. Code written by an agent is held to the same standard as code written by hand: you should understand it, test it, and measure its performance before it ships. We're looking for someone with deep software engineering experience who already works this way.
The shape of the role is flexible. You might spend most of your time as an individual contributor, or you might lead a small group of engineers and scientists while continuing to contribute directly. Your focus can be genomics, structural biology, or both. Experience in other areas of computational biology is welcome, and we expect the work to range more widely over time.
What matters most is a record of biology software that other people have adopted and relied on.
This is a chance to shape how AI is put to work in biological research, on problems that matter for human health and scientific understanding. If building software that scientists trust is the work you want to do, we want to hear from you.
Key responsibilities
Design, build, and maintain biology software in genomics and structural biology (libraries, command-line tools, pipelines, datasets, and benchmarks) for use by researchers and AI agents, inside Anthropic and externally
Own the path from research code to public release, including testing, validation against reference data and established tools, benchmarking, documentation, and packaging, and make the call on when something is ready to ship
Maintain what we release: triage issues, review outside contributions, and manage breaking changes
Represent the team in the biology community through conferences, workshops, tutorials, and direct work with researchers and maintainers, and turn what you learn about their needs into priorities for the team
Partner with the team's computational and experimental scientists to turn research code into well-tested, reusable software
Lead the technical direction of the projects you own through design review, code review, and mentoring, and, depending on your interests and the team's needs, lead a small team
Build with Claude and AI coding agents as your default way of working, hold agent-written code to the same standard as your own, and set the team's practices for reviewing and validating it
Minimum qualifications
Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines)
Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields
Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments
Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning
Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand
Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself
Can explain technical work clearly to both biologists and engineers, in writing (documentation, tutorials) and in person (talks, workshops)
Preferred qualifications
Depth in both genomics and structural biology
A record as the creator or a core maintainer of a widely used open-source tool in computational biology
Experience managing or formally leading a team of engineers or scientists
A graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience
Proficiency in a systems language such as Rust, C++, or C, and experience with performance work on large biological datasets
Experience building software in other areas of computational biology, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis
Experience shipping software built largely with AI coding agents, building agentic systems on large language models, or training machine learning models on biological sequence or structure data
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
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоNorth Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
УдалённоThessaloniki, Greece
seniorNicosia; This role isn't eligible for relocation & immigration support
УдалённоseniorKyiv, Ukraine; Lviv, Ukraine
УдалённоRemote, Canada
ОфисГеография найма не уточнена
London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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