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Location: New York City, NY; 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 We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Maqsad: Java dasturlash bo‘yicha bilim va tajribamni shogirdlarga samarali tarzda yetkazish, ularni amaliy loyihalar orqali mustaqil backend dasturchi darajasiga olib chiqishni maqsad qilganman. Tajriba: 4.5 yildan ortiq to'plangan tajribalar asosida real proyektlarda code yozish usullarini o'rgatish. Mentorlik: 1.5 yillik mentorlik tajribaga egaman, pdp academy da mentor bo'lib ishlaganman. Hozirda 5 nafar shogird olmoqchiman.

Location: Serbia Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Poland Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Romania Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: USA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About Our Opportunities Flex exists to make paying rent work the way real life actually works — smoothing out cash flow, helping renters avoid late fees, and letting them build credit instead of falling behind. As a Staff Backend Engineer, you'll design, build, and scale the services and integrations behind Payment, Billing, Identity, and partner integrations that keep rent moving on time for renters every month — setting the long-term technical vision and architecture for the systems you own, leading scoping, design, and implementation across teams, driving your own production rollouts to completion with minimal oversight, and working closely with product, design, and engineering peers to solve renters' most pressing problems in small, frequent iterations rather than big, risky releases. You'll also raise the bar for the engineers around you, mentoring peers and driving consistency and best practices across the org. About Our Team(s) We have some really exciting teams who are looking for an amazing engineer like you! Check them out! Partner Integrations - Partner integrations work to standardize APIs, tools, and processes that let external partners connect to Flex for data sharing and payments across entry points like Flex Anywhere and Quick-Pay Money Team - builds and owns the platforms, tooling, and documentation powering Flex's payments, wallet, and settlement finance systems. Who thrives here? A Doer — you get things done efficiently, and you're comfortable rolling up your sleeves when something's blocking the team. An Owner — you take full accountability for what you build, from design through production, and you always have a plan B. Someone Collaborative — you bring people together to pressure-test ideas rather than working in a silo. Someone with Precision — your code and your communication are both clear, because ideas only matter once others can act on them. Someone Resilient — systems break and priorities shift, and you adapt without losing momentum. Someone Humble — you care more about getting to the right answer than being the one who's right. Qualifications Minimum Qualifications Minimum of 8 years experience in software engineering Minimum of 6 years experience with Java Proven ability to set technical direction and architecture for complex, distributed systems Ability to lead and mentor engineers, raising the technical bar across a team or org Ability to work on a globally-distributed team with a high degree of ownership Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery Experience building robust, fault-tolerant systems with multiple external dependencies Experience designing, building, and maintaining data pipelines Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC) Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools Preferred Qualifications Proficient in CI/CD systems (preferably GitHub Actions), git, and automation Skilled in observability and monitoring tools, such as DataDog, to ensure high availability Experienced with big data platforms and tooling, including Snowflake Proficient in Infrastructure as Code, using tools like CDK and Terraform Track record of elevating team standards through best practices, and mentoring engineers at all levels Excellent written and verbal communicator, with experience influencing cross-functional strategy Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $200,000 — $250,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $180,000 — $225,000 USD Tier 3 (Salt Lake City, all other USA cities) $170,000 — $212,500 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: USA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About Our Opportunities Flex exists to make paying rent work the way real life actually works — smoothing out cash flow, helping renters avoid late fees, and letting them build credit instead of falling behind. As a Senior Backend Engineer, you'll design, build, and scale the services and integrations behind Payment, Billing, Identity, and partner integrations that keep rent moving on time for renters every month — leading scoping, design, and implementation for the APIs you own, driving your own production rollouts to completion with minimal oversight, and working closely with product, design, and engineering peers to solve renters' most pressing problems in small, frequent iterations rather than big, risky releases. About Our Team(s) We have some really exciting teams who are looking for an amazing engineer like you! Check them out! Partner Integrations - Partner integrations work to standardize APIs, tools, and processes that let external partners connect to Flex for data sharing and payments across entry points like Flex Anywhere and Quick-Pay Fin Platform - Fin Platform is the monitoring and operations layer for Flex's billing and payment systems, covering dashboards, SLIs/SLOs, runbooks, deployment and on-call procedures to ensure reliability and readiness. Money Team - builds and owns the platforms, tooling, and documentation powering Flex's payments, wallet, and settlement finance systems. Who Thrives Here? A Doer — you get things done efficiently, and you're comfortable rolling up your sleeves when something's blocking the team. An Owner — you take full accountability for what you build, from design through production, and you always have a plan B. Someone Collaborative — you bring people together to pressure-test ideas rather than working in a silo. Someone with Precision — your code and your communication are both clear, because ideas only matter once others can act on them. Someone Resilient — systems break and priorities shift, and you adapt without losing momentum. Someone Humble — you care more about getting to the right answer than being the one who's right. Qualifications Minimum Qualifications Minimum of 6 years experience in software engineering Minimum of 4 years experience with Java Ability to work on a globally-distributed team with a high degree of ownership Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best Experience building robust, fault-tolerant systems with multiple external dependencies Experience designing, building, and maintaining data pipelines Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC) Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools Preferred Qualifications Proficient in CI/CD systems (preferably GitHub Actions), git, and automation Skilled in observability and monitoring tools, such as DataDog, to ensure high availability Experienced with big data platforms and tooling, including Snowflake Proficient in Infrastructure as Code, using tools like CDK and Terraform Skilled at elevating team standards through best practices, and mentoring junior engineers Excellent written and verbal communicator, with experience in cross-functional collaboration Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $172,000 — $215,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $154,800 — $193,500 USD Tier 3 (Salt Lake City, all other USA cities) $146,200 — $182,750 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issue Detection decides when something is wrong in a developer's application. Today that mostly means individual errors, and teams still set up alerts by hand to find out when something bigger breaks. That's changing. Sentry already sees enough of an application to recognize an outage, an error spike, a regression or a failing dependency on its own, for every project, without anyone configuring a monitor. Detection is the first step of a longer flow. Before anyone is paged, Sentry should check whether the signal is real. When it is, the right people should hear about it where they already work, with what broke, when it started, who's affected and what changed, while Seer works out the root cause and drafts a fix. The goal is that an incident is understood within minutes of it starting. As a Senior Software Engineer on the Issue Detection team, you'll build the systems that make this happen. This space is moving fast and we expect what we ship to change substantially as agents take on more of the work. IN THIS ROLE YOU WILL - Detect incidents by default. Build detection that recognizes outages, error spikes and regressions on every project with no setup, and that people and agents can adjust when they need to. - Decide what's real before anyone is paged. Check each signal against what Sentry knows about the application, its traffic, releases and history, so detection can fire early without false alarms. Everything that happens next, from the first notification to Seer's investigation, starts from what you detect. - Detect more than errors. Find slow queries, failing dependencies and other problems in performance data on our shared detector platform. Detection runs on Kafka-fed pipelines processing billions of events a day, so it has to be fast and cheap enough to run for every customer. - Own projects end to end. Scope work with product and design, make the technical calls, ship it, measure whether it worked, and keep improving it. Help the engineers around you do the same. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How teams find out about and respond to production problems is changing every few months. You'd rather design for where that's going than keep tuning hand-configured alerts. - Like problems you can measure. You can see which incidents were real, how quickly the right person heard about them and how long they stayed open. You'll make precision, recall and latency tradeoffs with real data. - Want to design from the outcome. Start from what the best incident experience looks like for a developer, from first signal to fix, and work back to the systems you own, even when that means replacing something we already have. - Want to use what you build. We debug Sentry with Sentry, including our own incidents. You'll be responsible for what you ship, and you'll use that experience to decide what we detect next. QUALIFICATIONS - 4+ years of software engineering, much of it on backend systems in Python - You've owned a high-volume data pipeline or stream processor in production - You've built alerting, anomaly detection or monitoring that people relied on, and tuned its precision and recall with real data - You've responded to production incidents and know what slows a response down - You're comfortable moving quickly and iterating toward an ideal solution - You're product-minded and care about what the person getting paged actually sees - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: United States Position Overview As a Software Engineer, Intern, you'll have the opportunity to spend 12 weeks working on one (or more) of the engineering teams at SingleStore. You will be at the forefront of real-time technology that’s revolutionizing how companies run their businesses every day. With a continuous release cycle, our engineers are accustomed to moving quickly in a rapid production environment. To do this successfully, we work collaboratively and creatively across teams to maximize our opportunity for impact. We also believe it’s important to celebrate our wins together, whether it be at a local spot or getting out of the city for some exploring. As a Software Engineer, Intern, you will be empowered to own your projects end-to-end and be an active contributor throughout the product life cycle. To expedite your growth path, you will partner with engineers who deeply care about your success and will lend their expertise to your professional development. Our engineers are not just technical partners/mentors, but are also business partners who are exposed to all areas of the business, working with teams such as product, marketing, and sales. Role and Responsibilities Our Software Engineers work on small, collaborative teams to help drive our company forward. Our interns are responsible for projects that are deployed continuously into production over the course of their internship. Your work will include everything from writing new features to testing software and you’ll gain a significant understanding of both the product and the business. Required Skills and Experience Enrolled in a B.S. Degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline Deep understanding of C.S. fundamentalsStrong programming skills with C++ or C Passionate about building highly reliable software Firm grasp of algorithms and data structures Preferred skill and experience Understanding of core C.S. fundamentals, in particular operating systems, distributed systems, concurrency, multithreading, and server architectures. SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Seattle, Lisbon and Bangalore. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. Sponsorship is available for this position and other select roles

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You’ll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you’ll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our London Hub with a 5/3, 5/17, 6/1 or 6/14 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Platform/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I’m flexible and still exploring different types of work What you'll do at Figma: Join a small engineering team as a full member of the team, with your own project and mentor Contribute to projects that directly align with team goals and impact Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines Build, document, and maintain tests, features, or infrastructure Share feedback and participate in peer code review Ship your project(s) by the end of your internship! Some past intern projects: Diagramming improvements in FigJam Smart selection Shared fonts We’d love to hear from you if you have: Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms Experience solving technical problems through school, work, or personal projects Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code Demonstrated curiosity about how systems are designed and operate, from infrastructure to UI Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You'll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you'll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our San Francisco or New York Hub with a 5/3, 5/17, 6/1 or 6/14 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Backend/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I'm flexible and still exploring different types of work What you'll do at Figma: Be fully embedded onto a Figma engineering team Contribute to projects that directly align with team goals and impact Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines Build, document, and maintain tests, features, or infrastructure Share feedback and participate in peer code review Ship your project(s) by the end of your internship! Some past intern projects: Diagramming improvements in FigJam Smart selection Shared fonts We'd love to hear from you if you have: Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms Experience solving technical problems through school, work, or personal projects Are excited to explore how systems are designed and operate, from infrastructure to UI Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer While it’s not required, it’s an added plus if you also have: Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $55 — $55 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Toronto, Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About The Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our Oracle data pipeline services. This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use • Java • Oracle • AWS, GCP, Azure • Bazel, Docker, Kubernetes, Github What You’ll Do • Write and deliver code reliably, along with automated tests (unit and integration) • Optimize code to make it more performant • Break down project work into tasks with estimates • Give and receive feedback through code reviews • Collaborate daily with team members to develop new features and improvements while minimizing technical debt • Resolve customer issues in collaboration with customer support • Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring • Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations Skills We’re Looking For • Expertise in Java development • Experience developing reliable software with high-volume data management under strict SLAs • Experience working with popular cloud platforms (e.g. AWS, GCP, Azure) • Experience using AI coding agents for development • Knowledge of popular databases (e.g. Oracle, MySQL) • Knowledge of and appreciation for clean code practices • Ability to troubleshoot problematic code and identify root cause(s) Optional Bonus Skills • Experience working with Oracle change data capture • Experience developing data integration tools (ETL or ELT) • Experience identifying and optimizing performance bottlenecks in distributed systems This role represents new headcount added to the team to support continued growth and expansion of capabilities. #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $113,702 — $136,448 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, United States 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. An overview of this role As Director, Product Management: Agentic Software Delivery, you'll own one of GitLab's most strategic sections, spanning Continuous Integration, Artifact Management, Continuous Deployment, and Observability. You'll lead senior and principal product managers and be accountable for adoption, retention, and revenue across build, package, deploy, and monitor. Today, these are separate stages with a human making the call at each handoff. As agents take on more coding, pipeline, and deployment work, you'll set the three-year vision for how much of that judgment the system can make safely and how quickly a production signal can turn into a fix without waiting for a human to notice it first. You'll define how customers move from today's manual checkpoints toward agent-driven software delivery at a pace that fits their risk tolerance. In your first year, you'll bring four connected roadmaps into one coherent strategy, establish how investment is allocated and reallocated, deepen partnerships with Engineering and go-to-market leaders, and give customers a credible path for managing software delivery at scale. What you’ll do Own the strategy, three-year vision, and business outcomes for GitLab's Agentic Software Delivery section, with a clear point of view on how artificial intelligence is changing software delivery. Lead and develop senior and principal product managers across Continuous Integration, Artifact Management, Continuous Deployment, and Observability, helping them grow as independent decision-makers. Establish the frameworks, standards, and operating rhythm that support consistent, high-quality product decisions without unnecessary escalation. Own section-level key performance indicators and adoption funnels, using the results to reallocate investment or stop work that isn't paying off. Evaluate major strategic bets, partnerships, and build, buy, or partner decisions, and develop the business cases that support them. Partner with Engineering leadership on platform investment, architectural direction, and trade-offs across the section, while connecting build, package, deploy, and monitor into one coherent customer experience. Drive pricing, packaging, go-to-market strategy, migration, and adoption with Product Marketing, Sales, Pricing, Customer Success, and Solutions Engineering across free, commercial, and enterprise offerings. Represent the section with GitLab's senior leadership, key enterprise customers, partners, and industry audiences, while modeling AI-native product management across discovery, synthesis, prototyping, roadmap exploration, and concept development. What you’ll bring Experience leading product managers, including developing senior and principal talent, hiring, and addressing performance directly. A track record of owning a portfolio across multiple product areas and being accountable for adoption, retention, and revenue, not only roadmap delivery. Product management depth in one or more relevant areas, such as continuous integration and continuous delivery pipelines, artifact or package management, release management, or observability. Sound judgment about where to invest and where to stop, including experience making and defending build, buy, or partner decisions with a business case. Technical fluency to work with engineers and architects on pipeline design, artifact workflows, deployment strategies, and observability signals such as logs, metrics, and traces. Experience shaping pricing and packaging for technical products across free, commercial, and enterprise offerings. Experience working with technical customers in developer tools, DevOps, or software delivery environments where engineers and engineering leaders are primary users. Executive-level communication and influence. Practical use of AI tools in product management workflows, along with a thoughtful view of how AI and agentic workflows are changing software delivery. We welcome candidates whose experience may come from different but transferable product and leadership paths. About the team The team brings together senior product leaders across GitLab's software delivery platform and works closely with Engineering, Design, and go-to-market partners so customers experience these capabilities as one connected system. The team helps customers manage today's delivery complexity while shaping how AI-powered and AI-native workflows influence the next generation of software delivery. As part of GitLab's all-remote organization, the team collaborates asynchronously across regions with a focus on transparency, written communication, and clear decision-making. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $203,200 — $345,600 USD 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: United Kingdom; Tel Aviv Office Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns https://blog.chainalysis.com/reports/cryptocurrency-terrorism-financing-al-qaeda-al-qassam-brigades-bitcointransfer, disrupting major ransomware operations https://blog.chainalysis.com/reports/netwalker-ransomware-disruption-arrest, identifying the Twitter hackers https://blog.chainalysis.com/reports/chainalysis-doj-twitter-hack-2020, and more. We are building the data platform https://blog.chainalysis.com/reports/series-f/ for blockchain, cryptocurrency, and web3. We’re looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale! In this role, you’ll: - Own and improve our data ingest Java service for enriched transfers generation and aggregations. - Design and tune PostgreSQL transaction batching, indexing, and replication strategies. - Contribute to the next-generation architecture. The team is evaluating a wide stack of cutting edge technologies. You will run PoCs, benchmark latency, and write ADRs and contribute to delivering the next generation to PROD. - Build and maintain scalable API services on AWS that handle thousands of requests per second - Help automate network onboarding end-to-end. - Debug production issues across microservices, define SLOs, and participate in the on-call rotation - Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks: automated incident triage, self-healing pipelines, and intelligent alerting We’re looking for candidates who have: - 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads - 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling - Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging - Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform - Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path - Comfort with AI-assisted development and agentic engineering practices - A bias to ship and iterate alongside product and design partners - A genuine excitement for significantly scaling large data systems Technologies Core (experience required): - PostgreSQL - Java Spring - Kafka Expected familiarity: - AWS - Kubernetes - Terraform - Python - Github including Github Actions - DataDog - Humio - PagerDuty NICE TO HAVE - Database migration experience (evaluating and cutting over between storage systems) - Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet) - Kubernetes operations (StatefulSets, HelmReleases, stateful workloads) - Mentoring engineers and driving technical decisions through RFCs/ADRs - Interest in the cryptocurrency AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: United States; Canada Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. KEY RESPONSIBILITIES As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: - Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment - Develop agent orchestration systems that help security practitioners automate repetitive security tasks - Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data - Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements - Ship production-ready agent capabilities that run efficiently in resource-constrained environments - Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short - Conduct security testing of both the agents you build and the platform that runs them. QUALIFICATIONS - 5+ years of software engineering experience with a track record of shipping user-facing security features - Strong Python development skills with significant production experience - Experience building or working with autonomous systems, AI agents, or intelligent automation - Solid understanding of security principles including session management, authentication, authorization, and secure coding practices - Ability to think about security at multiple layers: application security, agent behavior security, and infrastructure security - Comfortable working across the full stack and diving into unfamiliar codebases to understand and fix issues - Thrive in fast-paced environments where you can adapt to evolving priorities - Excited about the intersection of AI/ML and security engineering. WORKING LOCATION This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United Kingdom, Bristol 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. Join us and be a member of the team that tests the development tools used to create every PlayStation® game. This is a great opportunity to continue a career in Software Testing, working on industry leading development tools and being mentored by experts in their field. What you’ll be doing Developing tests for new applications, new features and regressions. Developing test strategies with application teams. Automating tests as part of our continuous integration systems. Investigating issues and creating reproducible test cases. Conducting manual, exploratory testing. Reporting test results clearly (including performance and coverage). Developing tooling to help reduce test time and ease test execution. Make suggestions and recommendations for improvements to help shape the finished product. Collaborate with global, cross-functional teams in a multicultural environment to develop organisation-wide test strategies and infrastructure. Mentoring peers, sharing best practices, and influencing quality engineering approaches. What we are looking for 5+ years experience in developing tests for software applications. Experience of automating tests. A good understanding of software testing techniques. Good C# programming skills. Understanding of C++. Experience in triaging bugs and creating reproducible tests. Experience with software build tools, issue tracking and source control systems. Experience using AI-assisted coding tools, LLMs, or agentic technologies to improve engineering productivity, with an understanding of how to review, validate, and apply generated output safely. Nice to have Experience of Microsoft Windows applications. Experience of Microsoft Visual Studio. Experience of using Selenium/Appium. Experience using Powershell and Python. Experience of testing development tools. Experience of testing on Linux & Mac. We anticipate that suitable candidates will demonstrate the following personal attributes Proactive work ethic, with a passion for software quality and a positive customer experience. The ability to gain the respect of, and work successfully with others, regardless of reporting line. Influencing and persuasion skills. Strong written and verbal communication skills. Is thorough, patient, and works calmly under pressure. 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.