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Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: New York City Metropolitan Area; New Jersey Workplace: hybrid About the Role: The problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a People & Talent Partner to help us scale our FDE/FDX, Product, and GTM teams. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Beyond filling roles, you will own the talent community strategy around Provectus, and you will build the people-operations presence for our US team locally — be the person our US colleagues come to first. Location: Hybrid, New York: 2-3 days onsite. Type: Full-time (W2). What You'll Do: Recruiting: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer: Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. US hiring strategy. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. People operations for the US team. You'll be the on-the-ground people partner for our US-based colleagues, working with the Head of People Operations: Onboarding of US hires. First point of contact for US employees on benefits, time off, policies, and day-to-day people questions. Support for the performance review cycle for US-based staff: scheduling, collecting feedback, tracking outcomes. Team engagement and onsite days — the rhythm that makes a hybrid New York team feel like a team. What's the split between Recruiting and HR? 70/30 What You'll Bring: 4+ years of full-cycle recruiting experience in a fast-paced technical environment, ideally at an AI, cloud, or consulting firm Proven track record of sourcing and hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Demonstrates personal AI adoption — uses AI tools as part of their recruiting workflow, not just aware of them Exposure to HR generalist or people-operations work — onboarding, benefits, employee relations — or a clear appetite to build it. You don't need to have been an HRBP. Excellent communication and stakeholder management skills; comfortable partnering with C-level and senior technical leadership Highly organized, self-directed, and comfortable with ambiguity in a distributed, global team Commitment to Provectus's core values: Obsession, Ownership, Transparency, and Partnership Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: Experience building talent community: events, meetups, professional networks, or university programs Familiarity with US benefits administration, onboarding, and experience with an HRIS. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, a deeper people-partner role as the US team grows, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support Collaborative culture that rewards ownership, curiosity, and continuous learning Full-time W2 model. Base $150k- 170k. Final offer reflects experience, skills, and market data. Health, vision, dental, disability, and life insurance; 401(k) plan; unlimited vacation. About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring Process: 30-45-minute call with the Head of Talent Acquisition 30-minute call with the Head of People Operations On-site meeting with the CEO

Location: United States - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. What you'll do As a Senior Software Engineer, you will: Architect, build, and maintain features related to digital assets across MetaMask Clients, including ERC-20 tokens, NFTs, Token Lists, and Token Detail Pages Develop and support core wallet controllers that manage asset state and data throughout the MetaMask ecosystem Expand asset support to include emerging standards such as Real World Assets (RWAs) Help create intuitive, efficient, and secure Web3 interactions that delight users Collaborate with product managers, designers, and other engineers to deliver high-quality features Participate in code reviews and help maintain high code quality standards Requirements: 3+ years working with mobile-based technologies 3+ years building websites and/or applications Experience with React and React Native Strong knowledge of modern Javascript (ES6/TypeScript/etc.) Familiarity with blockchain fundamentals and Web3 integration Working knowledge of cross platform/browser compatibility Experience working with APIs and middleware services Experience working in an agile development team Experience developing applications with clean code practices, testing, and adherence to coding standards Understanding of web-based security considerations Bonus Points: Experience with token standards (ERC-20, ERC-721, ERC-1155, RWAs) and token list management Experience with DeFi protocols, token swaps, or fiat on/off ramps Knowledge of financial products in the digital space Interest in blockchain technologies and Web3 Basic understanding of cryptography principles Experience working in distributed teams Previous experience working in Web3 Familiarity with the Web3 wallet ecosystem Experience with performance optimization Other skills to demonstrate: Good verbal and written communication in English Teamwork, flexibility, and organization Eagerness to learn and grow your technical skills Ability to balance technical quality with business needs and user experience Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role. The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $139,000 — $210,000 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Workplace: remote Requirements At least 5 years of experience in the Microsoft Power BI and Fabric ecosystem, especially in Power BI Service, Dataflows, Semantic Models, DAX, and M-Code Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects At least 5 years of experience in data modeling of star and snowflake schemas with dbt At least 5 years of experience in building and implementing data governance structures, especially standards, role and permission concepts, governance processes, and best practices for Self-Service Analytics Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in the environment of railway transport companies from at least one project At least 3 years of experience in building, further developing, and supporting data communities as well as promoting Self-Service Analytics approaches Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments Building data models with the dbt framework We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com

-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. · Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

• развитие агентной архитектуры; • переход на MCP и перевод существующих сервисов в MCP-tools;

Location: Hong Kong SAR About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities: Perform daily requirement testing, test case execution, and regression testing. Identify, submit, and track bugs, driving issues through to resolution. Assist with API testing, Web/App testing, and automation testing efforts. Leverage AI tools effectively to improve testing efficiency. Requirements: Major in Computer Science, Software Engineering, or a related field preferred. Familiarity with basic software testing processes and methodologies. Some knowledge of SQL, API testing, or Python is a plus. Detail-oriented and responsible, with strong learning ability and communication skills. Minimum 3-month internship commitment, 5 days per week on-site. Fluent in Mandarin is required; proficiency in English is a plus. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Salesforce Engineer Senior Argentina, Chile, Colombia, Mexico, Peru, Uruguay Remote APPLY NOW REFER A FRIEND The Senior Software Engineer contributes to business processes by leveraging technological solutions. You will join a brand new team that will focus on Integration with ServiceNow, new functionality for funding sources and other features. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,100 coworkers. For the trailing twelve months ended June 30, 2023, client generated Net sales of approximately $21,4 billion. What you will do Execute all phases of the software development life cycle. Assess operational needs, costs, and resource requirements for assigned projects, collaborating with project managers as needed. Work in agile team alongside the Product Owner, applying Salesforce/CPQ best practices and design methodologies, such as use case analysis, object modeling, and UI design, to ensure alignment with business requirements and design objectives. Identify and address issues requiring attention, resolving them with a clear understanding of the underlying business problem. Make informed technical decisions aligned with the product roadmap, architecture standards, and management directives. Deliver projects and tasks in a timely manner, honoring commitments to stakeholders and management. Provide regular project/task status updates during daily scrums to the agile team, product owners, and product managers. What you need for this 3 years of application development experience 2+ years of experience with the Salesforce ecosystem and lightning framework Must have the knowledge and practical application of Visualforce, APEX; Force.com APIs, Web Services, and Experience builder Must have knowledge and practical application of Salesforce CPQ, both out of the box and customizations Experience with source control systems like Azure DevOps, GIT Experience with the creation and maintenance of Salesforce / CPQ profiles, permission sets, and objects Experience in Salesforce CPQ integration with external systems and managed packages Deliver solutions in Agile methodology in CI/CD environment Demonstrated ability to build rapport and maintain productive working relationships cross-departmentally and cross-functionally Good written and verbal communication skills Strong organizational, planning, and creative problem-solving skills with critical attention to detail Demonstrated success in facilitation and solutions implementation Proven track record of leading application development projects History of balancing competing priorities with the ability to adapt to the changing needs of the business while meeting deadlines Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations Ability to perform effective code reviews and recommend automated review tools for the team What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills CPQ Salesforce

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Project Overview： Maintain the mobile app for iOS and Android in Flutter Follow Figma designs to build beautiful interfaces through Flutter Work with our design and backend teams to implement new features Stay up to date with best practices in mobile performance, security, and UX Write documentation and support internal knowledge sharing Must Haves Major in Computer Science or related fields. Solid foundation in computer science and a good understanding of microcomputer principles. Strong sense of responsibility for software products, with good communication skills and excellent teamwork capabilities. Proficient in at least one programming language, such as (but not limited to): Java, Kotlin, Objective-C, Swift, C, C++, or Python. Passion for building the high-performance apps Nice to Haves Strong experience with Flutter and Native mobile development Solid understanding of TypeScript and modern React patterns Side projects or open-source contributions Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Must Haves Major in Computer Science or related fields. Solid foundation in computer science and a good understanding of microcomputer principles. Strong sense of responsibility for software products, with good communication skills and excellent teamwork capabilities. Proficient in at least one programming language, such as (but not limited to): Java, Kotlin, Objective-C, Swift, C, C++, or Python. Passion for building the high-performance apps Nice to Haves Strong experience with Flutter and Native mobile development Solid understanding of TypeScript and modern React patterns Side projects or open-source contributions Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Intellias Vacancy details Software Engineering Python Engineer Associate India Hybrid APPLY NOW REFER A FRIEND We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together! What project we have for you Our customer’s location services are used by millions of people every day on mobile devices, cars, wearables and on the web. We are pushing the boundaries of, and extending the horizons of highly-autonomous driving, Virtual Reality and IoT. We are the experts on map compilation that make possible the most comprehensive map in the market. Our work is constantly striving for the best map ever. We are proud to have experts in the field and top specialists located in Germany and Ukraine. Join our passionate team and take a unique chance to work on the core technologies of cutting edge navigation systems for premium cars and the future of automated driving. What you will do Participate in all stages of software development including analyzing, designing, programming, debugging, and modifying software enhancements and/or new products for internal or customer applications Using current programming language and technologies, write code, complete programming, and perform testing and debugging of applications. Compose and maintain documentation and procedures for installation and maintenance Analyze and fix incoming defects Cooperate with other teams in elaboration of fixes and solutions of issues What you need for this Good knowledge of Python syntax Good to have Java SQL syntax and terms Understanding of OOAD, architecture and design patterns Understanding of SDLC and engineering practices Experience with continuous integration systems (i.e. Jenkins) Git basic knowledge Linux: basic commands, permissions understanding Self-motivated, well-organized, detail-oriented and a strong team player Higher Education: Basic Degree What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote, Poland 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 a Staff Backend Engineer in GitLab's Performance Enablement group, you'll define and build the self-serve platform that lets GitLab engineering teams own their performance. You'll give internal teams the tooling and guidance to run performance tests, analyze results, track trends, and meet their own performance requirements throughout the development lifecycle. We're a platform, not a consulting service: we build capabilities that teams use independently to deliver a reliable, performant GitLab to customers. In this hands-on technical leadership role, you'll work with the Engineering Manager to shape a multi-quarter vision and roadmap, bringing your performance engineering expertise to influence teams across research and development (R&D). Some examples of our projects in Performance Enablement : Building reusable component-level testing, load testing, performance analysis, trend visibility, and artificial intelligence (AI)-assisted engineering skills Enabling teams to test performance throughout the development lifecycle, from local development and continuous integration (CI) workflows through pre-release validation, including modular feature teams' own workflows What you’ll do Define the team's technical vision and multi-quarter roadmap with the Engineering Manager, identify opportunities for impact across R&D, and advocate for technical priorities with stakeholders. Design and build reusable platform capabilities for performance testing, analysis, reporting, and trend visibility, solving complex technical problems and shipping large capabilities with minimal guidance. Turn lessons from early team engagements into reusable capabilities, documentation, and onboarding, measured by each new team needing less hands-on support than the last until teams can adopt the platform and manage their performance independently. Coordinate with peer teams across Developer Experience, Infrastructure Platforms, and product groups to align priorities and timing. Lead AI-first development practices in how we build and what we ship, including AI skills and agent-assisted performance workflows. Mentor engineers in performance engineering, platform design, and technical decision-making. Serve as a performance expert for other teams and provide technical guidance on initiatives spanning multiple groups. Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Staff-level backend or platform engineering experience, including setting technical direction across a team and the teams around it. A track record of building and operating performance testing and analysis systems, with an understanding of where bottlenecks appear and how to find them. Experience leading or anchoring a performance enablement or platform function and achieving measurable adoption of internal tooling by influencing engineers and leaders who don't report to you. Experience defining and delivering a multi-quarter technical strategy or roadmap with engineering leadership. An AI-first development mindset demonstrated across the software lifecycle, including shaping how a team uses AI. Hands-on experience with load and performance testing tools such as k6 or equivalent, Kubernetes, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure. Clear written, asynchronous communication, including explaining performance trade-offs to engineers and leadership. About the team Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We work asynchronously and collaborate broadly across R&D, coordinating with peer platform and product groups. Documentation, onboarding, and feedback loops help us turn early team engagements into capabilities that scale beyond individual teams. Poland base salary range: zł 328,000 - zł 492,000 The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. 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 and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. 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: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Ищем DevOps / Kafka Engineer в команду потоковых данных, которая развивает и поддерживает платформенное решение на базе Kafka и Kafka Connect. Команда отвечает за отказоустойчивость, доступность и мониторинг Kafka-инфраструктуры, а также автоматизирует управление жизненным циклом кластеров и развивает внутренние инструменты для работы с платформой. Задачи Обеспечивать отказоустойчивость, стабильность и доступность кластеров Kafka и Kafka Connect Развивать и поддерживать платформенное решение на базе Kafka и Kafka Connect Конфигурировать и сопровождать коннекторы MirrorMaker2, Debezium и другие Kafka Connect-коннекторы Заниматься диагностикой и дебагом Kafka, Kafka Connect и связанных инфраструктурных компонентов Автоматизировать развертывание, конфигурирование и масштабирование кластеров с помощью Ansible Развивать внутренние инструменты для автоматизации жизненного цикла Kafka-инфраструктуры Настраивать мониторинг, алертинг и дашборды с использованием VictoriaMetrics, Alertmanager и Grafana Участвовать в миграции данных между кластерами и обеспечивать ее без простоя сервисов Консультировать команды разработки по лучшим практикам работы с Kafka и настройке producers / consumers Требования Опыт работы DevOps / Infrastructure Engineer от 5 лет, из них не менее 2-3 лет работы с Kafka в production Глубокое понимание архитектуры Kafka и принципов построения отказоустойчивых высоконагруженных кластеров Практический опыт эксплуатации Kafka Connect, MirrorMaker2 или Debezium Уверенные навыки администрирования Linux и диагностики инфраструктурных проблем Опыт автоматизации развертывания и управления инфраструктурой с использованием Ansible Опыт настройки мониторинга, метрик и алертинга, а также работы с VictoriaMetrics, Alertmanager и Grafana Самостоятельность в принятии технических решений и умение консультировать команды разработки по работе с Kafka Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы Работу в максимально уютном офисе в Москве на ст. м. Савёловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге (ст. м. Балтийская) и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно