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Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system architecture, code quality, security, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the eval bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation. Set the evals and guardrails strategy for your area: what gates a release, what production signals the team watches, and how a change is simulated against historical claims before it ships. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Design the NLP pipelines that turn unstructured claim data into structured data customers can act on, choosing where semantic search, classical NLP, or an LLM fits. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Set the privacy and security baseline every system in your area starts from: tenant isolation, least-privilege access for agents and their tools, redaction, retention, and what data may reach a model provider. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration. Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed. An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability. Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Experience with agent frameworks, LangGraph, PydanticAI, and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, every model change in your area is gated by evals you designed, regressions are caught before a customer sees them, and you can show the accuracy number held or moved. You are trusted with the high-stakes, ambiguous problems, and you turn them into a roadmap, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: the ones you design have their failure modes understood in advance, and when one fails anyway, the trace says exactly where. Privacy and security reviews of systems in your area find nothing that was not already designed in. Standards you set for evals, reviews, and design documents outlive the project they started on. Engineers you mentor ship LLM-powered features with evals and guardrails in place without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Brazil, Colombia We are looking for a motivated Senior Software Engineer (Java) willing to continuously improve the newly developed system and respond to production incidents. If you're interested in more than just writing code, and want to build technical solutions that unlock new opportunities for users in a live system processing thousands of orders, then you are exactly who we're looking for. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The American memorabilia manufacturer is primarily known for producing yearbooks and class rings for high schools and colleges. The company also produced photobook products for Disney’s PhotoPass photography service at theme parks and resorts. In addition to its headquarters near Minneapolis and operational offices in Owatonna, Minnesota, the customer has facilities throughout the United States. What You’ll Do Develop and Review code and share feedback to keep our quality high Collaborate with cross-functional teams to analyze, design, and ship new features Participate actively in discussions, presentations, and decisions about back-end development Tackle bugs and address production issues Collaborate in an Agile team where ideas move fast and learning never stops What You Bring Experience in Java programming language Solid background in REST, Spring Boot, security, Kafka, Elasticsearch or SOLR, AWS Solid understanding of Microservice architecture, Design Patterns, Being able to develop sustainable and long-term solutions, explain pros and cons. Strong troubleshooting skills, understanding performance optimization Competency in JPA and writing complex SQL queries in PostgreSQL Knowledge of using IntelliJ, Git(GitHub and GitLab), JIRA, Docker, Maven Proactive team player In-depth understanding of SDLC and CICD processes Availability to work till 3 pm CST Nice to have Experience with e-commerce, preferably Broadleaf Commerce English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: New York The Role As Consumer Engineering Leader, you’ll be the engineering counterpart to our Consumer Product Leader. Together you’ll own a simple question: How can we extend our product suite to be integrated deeper with our customers’ financial lives? Engineering leadership at Taptap Send is hands on. You’ll be building POCs while managing/coaching a team of super passionate, high caliber engineers. We are looking for someone who finds themselves on the cusp of product and engineering and is excited to shape the next generation of products at a company with millions of customers. The mandate is to move fast and autonomously, understand our customers, build new products they love, and become the financial home for the immigrant communities we serve. Key Responsibilities - Own the Outcomes: Partner with Product to set and hit targets on adoption, retention, and how well our products serve the range of a customer’s financial life. You’re accountable for how well these products work, not just for shipping them. - Run the Experiment Loop: Take ideas from hypothesis to live test in weeks, not quarters. Build POCs yourself. Instrument everything. Read the data honestly and recommend, kill, or scale. - Spot the Opportunities: Bring your own ideas. You should be looking at our customers, our data, and the market and arriving with a point of view on the next unmet need worth solving. - Ship the Winners: When a bet proves out, lead the work to harden it and get it into the core app at production quality with reliability, security, and compliance standards intact. - Stay Hands-On: Contribute code. You set the technical direction for consumer product engineering and you’re in it with the team. - Build and Lead a Small, High-Leverage Team: Hire, coach, and retain product-minded engineers who thrive on ambiguity and speed. - Work Across the Company: Partner with teams across the business to get experiments live and learnings shared, building on our existing systems and creating new ones that other teams can plug into. What We’re Looking For - Product-Minded Engineers: Your background is building user-facing products and the services behind it. You’re comfortable owning a feature end-to-end, from backend through to what the user touches. - Track Record of Rapid Experimentation: You can point to things you built in weeks that tested a real hypothesis, and to things you killed. Candidates whose experience is entirely long-horizon builds won’t be a fit. - 0 to 1 Experience: You’ve done your best work at Series B-E companies or standing up new products/businesses within a larger company. You know what it’s like to build with real constraints and real growth pressure. - Comfort with Compliance: You’ve shipped in regulated environments and treat compliance as a design constraint to build around from day one, not a hurdle at the end. - Commercially Grounded: You reach for the business case before the architecture diagram. You can judge whether an idea is worth the company’s time, and you hold a high engineering bar while doing it. - Leadership Range: You can lead and grow a team without stepping away from the technical work. This isn’t a role for someone who has moved fully into management. Our Stack TapTap Send is an AWS-first, polyglot engineering organisation. Across a small set of major product and platform systems, we use Kotlin/Spring Boot and Python/FastAPI for backend services, React Native/TypeScript for mobile, React/TypeScript for web, PostgreSQL for transactional data, and Redshift + dbt for analytics. You don’t need to have used all of this, but you should be able to get productive in it quickly. About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Denmark - Remote Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: At Tenable, we seek a passionate and skilled Presales Security Engineer covering Denmark and Norway to join our team. In this role, you’ll be crucial in driving sales success and enhancing our customers' experience through your technical expertise. You'll work alongside Sales Representatives and a talented team to set Tenable apart from the competition, build lasting customer relationships, and create enthusiastic advocates for our solutions. You must speak Fluent/Native Danish and English. What You'll Do: Deliver Technical Excellence: Present technical demonstrations of Tenable’s platform products, showcasing their value and differentiation to potential customers. Manage Evaluations: Oversee enterprise software trials and "Proof of Value" evaluations, ensuring they align with customer goals. Solve Real Problems: Address customer challenges and business needs with consultative security and compliance expertise. Engage and Educate: Answer technical questions and provide insights, occasionally presenting at local events and conferences. Support Sales Efforts: Work closely with sales representatives to achieve or exceed revenue targets, support local partners in enterprise deals, and respond to RFIs and RFPs. What We’re Looking For: Technical Expertise: Experience with Nessus or other network scanning technologies and solid foundational knowledge of TCP/IP and network security concepts. Cyber Security & Cloud Knowledge: Familiarity with the Cyber Security ecosystem both on-prem and in the Cloud, including CMDB, Ticketing, Patch Management, PAM, etc. Compliance Awareness: Understanding of international & local compliance standards (e.g., NIS2, DORA, PCI, FISMA, SOX, NERC, CIS, DIS STIG). Effective Communicator: Excellent communication and presentation skills, with the ability to adapt based on the audience and effectively frame problems and solutions. Strong teamwork skills are essential, as collaboration is at the heart of this role’s success. Flexibility: Willingness to travel as needed within your territory (up to 25%). Relationship: Build a good relationship with customers, partners and your peers. Drive Activities: Demo’s, Workshop’s, Technical Meetings for customers & partners, Events and Webinars, Capture the Flag activities. Bonus Points For: Experience: 5-7 years of direct Pre-Sales Engineer experience. Certifications: Cloud certifications in AWS, GCP &/or Azure. CISSP or equivalent. Network Knowledge: Understanding of TCP/IP and network security concepts. System Experience: Experience with enterprise-class operating systems at the security admin level. Embracing AI: Experience and Creative in using AI capabilities. DevOps Skills: Proficiency in Docker, DevOps, API scripting, and Python SDK. Proactive Attitude: A self-starter who stays up to date with current technologies. Interview Process Recruiter Interview  – 1st Stage - Virtual Hiring Manager Interview  – 2nd Stage – Virtual Tech Assessment - 3rd Stage - Virtual Job Skills Interview - 4th Stage - Face to Face Senior Stakeholder Panel Interview – Final Stage - Virtual Apply Today! If you’ve read this far and are still unsure if you should apply, we encourage you to go for it! At Tenable, we believe there’s no such thing as a perfect candidate. Whether you meet all the listed qualifications or just a few, we welcome your application. We value diverse perspectives and backgrounds and are excited to see what you can bring to our team. Join us at Tenable, where your passion and expertise can make a real difference every day. #LI-JG1 #LI-Remote This is the expected salary range for this position in the primary job location, depending on experience and qualifications. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of Competitive wellness and financial benefits. EU Pay Range 725.000 kr. — 965.000 kr. DKK We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: London; Europe Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE As a Senior Frontend Engineer on our Website team, you'll be a co-owner of the platform behind synthesia.io http://synthesia.io: the component library, content model and rendering stack that every page on our marketing site is built from. You'll shape direction and make key technical decisions with the team, likely with a focus area of your own but context across the whole system. This is a hands-on engineering role, and your primary output is high-quality component and schema code, plus the tooling that lets others build with it. Millions of people visit synthesia.io http://synthesia.io every month, and it is one of the main ways we win new customers. That comes with real responsibility. The decisions you make are seen at scale, and we set the quality bar accordingly. The defining challenge of this role is composability: a marketing site that marketers, and increasingly AI agents, can build pages with, without breaking design, performance or SEO. WHAT YOU'LL DO - Build, scale and evolve our section library: the Astro components, Sanity schemas and design tokens that let us compose marketing pages consistently and accessibly. - Own the content model. Design schemas that resist misuse, so an editor, or an agent, can build a page that is correct by construction rather than correct by review. - Take Figma component specs all the way to production: responsive across mobile, tablet and desktop, accessible by default, matching design intent precisely. - Extend the platform for AI-assisted development, so coding agents can generate on-brand, on-spec sections from a design spec as reliably as a person can. - Own SEO integrity as a first-class engineering concern: canonicals, sitemaps, structured data, redirects, and no traffic cliffs on launch. - Raise the bar on engineering standards across the website surface: thorough code review, patterns others can follow, and tests around the parts that actually break. - Maintain and extend localisation across nine locales and a translation pipeline, so the system works for a global audience. - Shape the technical direction of the website platform over the next 6 to 12 months, and champion its adoption with the people who publish on it. WE’D LOVE TO HEAR FROM YOU IF YOU HAVE - At least five (5+) years as a software engineer, including three (3) at senior level, building front end for content-driven or marketing platforms. - Real ownership of a content model in Sanity. You've designed schemas other people had to live with, and you have opinions about references vs. embedded objects, when a variant belongs in the schema versus at runtime, and how to stop a section library sprawling. GROQ and Portable Text are familiar territory. - Deep front-end expertise: expert HTML, CSS and TypeScript, with a strong command of component API design and the developer experience of a shared library. - You can work end to end. Comfortable owning the server side as well as the front end: SSR, serverless and edge runtimes, API routes, a SQL database, secrets and CI. You should be able to take a feature from schema to component to the route that serves it without handing off, and be happy debugging something that only reproduces in production. - Solid understanding of responsive design, cross-browser compatibility and web performance, and comfortable building to WCAG 2.2 AA. Accessibility is part of your definition of done, not a separate pass. - You care that marketing sites are measured, on performance, SEO, analytics events and conversion, and you're happy being accountable to those numbers. - A strong sense of craft and attention to detail, and the judgement to balance design intent against engineering constraints. - Strong communication and collaboration skills. You explain your reasoning, review generously, and treat levelling up the people around you as part of the job. WE’D BE PARTICULARLY EXCITED IF - Prior experience working on a large SaaS marketing website, at real traffic and with real stakes attached. - Astro, or another islands or static-site framework. - Cloudflare Workers, or another edge or serverless platform. - Experience with AWS Lambda. - Tailwind CSS v4, and experience working from a token-based design system. - Experience, or strong interest, in making component libraries and content models consumable by AI agents. - A strong design sensibility: an eye for visual detail and the judgement to push back on and improve design decisions, not just build them. - Experience with localisation and internationalisation at scale for a global audience. - Analytics and tag management implementation: dataLayer events, server-side tagging, getting attribution right without hurting performance. Location Our preference is for this role to be based hybrid out of our London, UK office. We can also accommodate remote workers elsewhere in Europe subject to compliance and right to work checks.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: remote We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are hiring a Senior Database Reliability Engineer for our Infrastructure Platform Team. You will design PostgreSQL platforms for resilience and high availability, automate everything you touch, and understand how our services use the database, from connection pools to ORM transactions. Your goal is to keep latency within SLO at a reasonable cost, through every change, failover and migration. Our stack today: AWS RDS and Aurora (PostgreSQL, MySQL), Redshift, ClickHouse, Terraform, Ansible, Prometheus, VictoriaMetrics and Grafana, with Java services on Kubernetes. Responsibilities: Design and run highly available PostgreSQL across zones and regions, with automated, tested failover and fencing against split-brain. Define all database infrastructure as code (clusters, parameters, networking, access, monitoring and backups), reviewed by peers and applied through CI/CD pipelines, with drift detection. Build self-service database provisioning so product teams get a production-ready database without waiting on a ticket.Plan and execute migrations, upgrades and table moves with zero or near zero downtime, including cross-version, cross-cluster and cross-cloud work. Partner with developers on schema changes, queries, connection pooling, transaction scope, retries and expand-and-contract migrations, so database issues are fixed at their source. Define SLOs and build SLO-based alerts and dashboards (Prometheus, Grafana or similar) that catch latency and capacity problems before clients do. Design backup and recovery, and prove it with scheduled restore and failover tests that measure RTO and RPO and produce evidence for auditors. Keep cost in view: right-size instances and storage, and choose the cheapest option that meets the requirement. Secure the data: least-privilege access, secrets from a secrets manager, encryption at rest and in transit, audited access and PII masking. Lead and take part in incident response and on-call, write blameless post-mortems and make sure their actions get done. Replace manual runbooks with automation, and document what remains. Requirements: Deep PostgreSQL production experience. You have run PostgreSQL at scale and understand MVCC, vacuum and bloat, locking, replication (physical and logical) and query planning from real incidents, not only from documentation. Infrastructure as code as your normal way of working. Everything you build lives in version control and is reviewed before it is applied. CI/CD in your day-to-day work. Your infrastructure and database changes, including schema migrations, reach production through pipelines. If console clicks, SSH changes or wiki steps are how changes normally happen in your current role, this position is not the right fit. 5+ years running production databases as a DBRE, SRE, platform or database engineer, ideally with a large part on AWS (RDS or Aurora). Experience designing high availability and disaster recovery: replication, automated failover, multi-region or multi-cloud redundancy, and the trade-offs between RTO, RPO and cost. A track record of zero-downtime changes: online migrations, major version upgrades or moving data between clusters. Understanding of how applications use databases: connection pools, ORMs (for example Hibernate), transaction scope, retries and idempotency, and safe deployment order. Observability skills: you define what to measure, alert on SLOs and verify changes with data.Scripting in Python, Bash or Go to automate operational work. Comfort in a regulated financial services environment, where access control, encryption and audit trails are non-negotiable. Clear communication: you reason out loud, own outcomes and partner with developers instead of gatekeeping. Nice to have: Terraform and Ansible specifically, since they are our current tools. MySQL in production. Redshift, ClickHouse or DynamoDB. Logical replication or CDC tooling (pglogical, AWS DMS, Debezium). Kubernetes and running Java services in production. Linux performance tuning and troubleshooting on self-managed database hosts. Vault or another secrets manager. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Задачи: — Разработка и поддержание текущей инфраструктуры и CI/CD пайплайнов с использованием GitLab CI и ArgoCD — Поддержка развертывания приложений в тестовой и продуктивной средах — Настройка мониторинга и логирования, помощь в расследовании инцидентов Требования: — Опыт DevOps более 7 лет — Уверенный практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform — Опыт работы с Helm, GitOps и инструментами мониторинга — Практические знания Linux, сетевых технологий, скриптов на Shell или Python — Английский язык уровня C1 Условия: — Работа удаленная (часовые пояса UTC+2 to UTC+4)

Задачи: — Лидировать виртуальную команду поддержки и эксплуатации (3-я линия поддержки), которая занимается развитием продукта и его эксплуатацией для большого количества клиентов и партнеров; — Обеспечивать доступность (SLA, SLO, SLI) платформы для конечных пользователей; — Отвечать за надежность облачных сервисов Cloud.ru Evolution для клиентов и партнеров; — Управлять жизненным циклом запуска продуктов (private preview, public preview, general availability); — Отвечать за процессы Change Management, Problem Management в рамках платформы собственной разработки; — Работать вместе с командой разработки (4 продуктовых направлений) над стабильностью и эффективностью сервисов Облачной платформы; — Внедрять изменения в платформу для повышения NPS продуктов. Требования: — Готовность брать на себя ответственность за запуск технически сложных продуктов и обеспечивать их сопровождение; — Понимание процессов поддержки и опыт управления инженерами в линейной или матричной структуре; — Знание работы PaaS-сервисов и отказоустойчивой инфраструктуры продуктов; — Опыт построения процессов поддержки и эксплуатации, включая автоматизацию и мониторинг; — Понимание значения метрик SAT/CSAT, NPS, SLO, SLA; — Опыт работы и понимание архитектуры микросервисов; — Знакомство с современными подходами к разработке и сопровождению ПО (CI/CD, DevOps, SRE); — Навыки работы с инструментами автоматизации (Ansible, Terraform) и контейнерами с оркестрацией (Docker, Kubernetes); — Опыт работы с услугами облачных провайдеров (Google Cloud, AWS, Azure, Yandex Cloud, VK Cloud) будет плюсом; — Опыт работы с крупными клиентами, использующими облачные сервисы.

Ripple is looking for a Senior DevOps Engineer to build, automate, and maintain multi-region infrastructure and release pipelines.

Location: Warsaw, Poland On behalf of FinTech Client #3 , SD Solutions is looking for a talented Squad Lead. As a Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Technical Architecture—Lead the technical architecture and system design for core products and services within your domain. Team Leadership—Guide a multidisciplinary squad of frontend, backend, and data engineers through implementation, delivery, and iteration. Stakeholder Collaboration—Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions. Strategic Alignment—Ensure development aligns with business objectives, long-term system health, and team's engineering standards. Quality—Conduct and lead design reviews, code reviews, and performance optimization efforts. Culture Building—Drive a culture of technical excellence, ownership, and continuous improvement. Operational Excellence—Oversee system reliability, monitoring, and incident response within your domain. Requirements: 4+ years of leadership experience, guiding engineering teams and making architectural decisions 5+ years of software engineering experience, with a strong focus on scalable architecture and system design Very strong backend expertise: Kotlin/Java preferred stack; .NET acceptable (requires learning curve); Python possible Proficiency in modern system architecture with large-scale and high performance. Impact driven—use data to make sure every task moves the needle and utilize your resources to maximize the team's impact. Team player with strong communication skills and someone who thrives working in a fast-paced environment. Creative, solution-oriented, and able to maintain a ‘can do’ attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs. Familiarity with microservices architecture and distributed systems. B.Sc. in Computer Science or equivalent. Fluent in English. Preferred Experience: Experience with software development in Kotlin or Java. Experience with Front End technologies. Experience with mobile technologies. Leading a multidisciplinary team. Familiarity with microservices architecture and distributed systems. Solid understanding of AWS or similar cloud platforms. Expertise in the Spring Framework. Proficient in both relational (e.g., MySQL) and non-relational databases (e.g., MongoDB). Familiarity with message queue technologies such as Kafka, SQS, RabbitMQ, or similar. Experience with AI development tools like Cursor and Claude Code About the company: A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

• Разработка и поддержка ПО для фиксации торговых транзакций и расчёта позиций.

Location: Novi Sad, South Bačka, Serbia, EMEA 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 We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID 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: Novi Sad, South Bačka, Serbia, EMEA 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 We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID 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: Toronto; Canada; United States Workplace: Remote 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 We're seeking a senior product leader to own Cohere's Inference as a Service business end to end. The product is sovereign, self-serve inference: a mid-market or enterprise buyer picks a model, a region and a GPU size, and is running the same afternoon with no procurement cycle and no infrastructure of their own. You'll decide which open-weights and first-party models we serve, in which regions and on which hardware, set the rate card they sell at, and carry the revenue and margin that follow from those calls. You own the platform around that endpoint as well, from the console and dashboards a customer administers their deployment through to the catalog of first-party and third-party models behind it. You'll set the strategy and run the execution, which means choosing where to spend across serving efficiency, the self-serve console and regional capacity when all three want the same budget, and shipping the deployment framework that removes infrastructure barriers while holding the line on data residency, compliance and operational confidence. You'll do that across engineering, serving, finance, legal and GTM without formal authority over most of it, and you'll be accountable for the outcome rather than for the roadmap. The timing is most of the opportunity. Every serious company is deciding where its models will run and what it costs to keep them running, serving demand is climbing faster than anyone can rack hardware for it, and very few of those buyers are willing to hand their data to an operator who can read it. We are starting this business from a standing start, with the models, the silicon and the encryption already in place and almost no one else able to offer the combination. You would be taking a product to market in the window where that advantage is still ours, building one of Cohere's major revenue lines from its first customer onward, and shaping how a generation of companies buys AI it can actually trust. RESPONSIBILITIES - Own the P&L for Inference as a Service: carry the revenue number, set the rate card, and keep blended margin above the floor as the catalog and the fleet grow. - Own the inference platform itself: the console and dashboards where customers see usage, spend, API keys, access control and attestation, and the value-add tooling that makes a managed endpoint worth more than a raw one. - Own the model inventory across first-party and third-party models: what enters the catalog, how it is grouped by provenance, what it is priced at, and when something is quantised, replaced or retired. - Set the roadmap and the investment case across serving efficiency, the self-serve surface and regional capacity, and make the call when those three compete for the same budget. - Build the commercial motion with GTM from the ground up: self-serve acquisition for the mid-market, a sales-led motion for enterprise, and the partnerships that monetise capacity we would otherwise leave idle. - Stay close to the market: talk to customers and developers about integration friction and unmet needs, track competitor pricing, catalogs and launches, and follow where models and hardware are heading, then turn that into a clear view of where we should place our bets and what it would take to win. - Define the metrics that tell us whether this is a business, including revenue, margin, win rate, time to first token and self-serve share, and lead the work that moves them. - Partner with engineering, research, legal, finance, technical writing and developer relations to ship the platform and clear the licensing, pricing and capacity decisions behind it. - Represent the business to the executive team with a recommendation, the evidence behind it and the trade-off it implies. REQUIREMENTS - 10+ years of product management experience, including meaningful time owning a B2B infrastructure or platform product at the scope of a business rather than a feature area. - Experience operating in a GM-like capacity: you have carried a revenue line or a P&L, set pricing, and been held to margin as well as to shipping. - Background at a neocloud such as Together AI, Baseten or Fireworks, or at a hyperscaler such as AWS, Azure, OCI or Google Cloud, with a working view of how inference capacity is priced, packaged and sold, and a point of view on where the segment goes next. - A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. - Entrepreneurial, with experience taking a new product to market and building the commercial motion around it rather than inheriting one. - Experience with deployment models such as multi-tenant and dedicated infrastructure, and ownership across the full product lifecycle, from problem definition through launch, iteration and eventual migration or deprecation. - Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions. - Able to set direction and earn alignment across engineering, infrastructure, finance, legal and GTM without formal authority, and to put a clear recommendation and its trade-offs in front of an executive audience. NICE-TO-HAVES - Experience owning a model serving or inference platform, including self-serve infrastructure and metered inference offerings. - Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products, particularly in the inference-as-a-service context. - Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns for inference workloads. - Experience with GPU infrastructure and cloud deployment models across both neocloud and hyperscaler environments. 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.

Requirements: — Minimum 7 years of experience in the banking sector with deep expertise in AML / AFC, Financial Crime Risk Management, Transaction Monitoring. — Development of business rules and client risk assessment models. — Experience with Investigation Workflows, Business Analysis, Process Mining, Change Management. — Proficiency in SQL (complex queries and optimization on large data volumes), Python, ETL, Data Analysis. — Familiarity with Jira, Confluence, Agile methodologies (Scrum / Kanban / SAFe). — Ability to produce technical documentation and manage stakeholders. Advantages: — Knowledge of Bridger XG, Siron Suite, Compliance Lens, AML Analytics, Power BI, Tableau, AWS, Kafka, Kubernetes. Conditions: — Predominantly remote work format with paid business trips once a month to Baltic countries. — Fluent English required. — Only freelancers, outstaff, and recruiting companies are not considered.

Location: Москва Наша команда создает линейку продуктов на основе мультимодальной нейросетевой модели GigaChat, которая является одной из самых мощных и продвинутых моделей искусственного интеллекта, доступных на сегодняшний день. Мы создаем удобный и понятный сервис, позволяющий людям использовать GigaChat для решения повседневных задач и развлечения: поиск ответов на вопросы, работа с документами, создание контента, изучение языков, общение с персонажами и многое другое. Мы ищем опытного Senior-инженера SRE, который возглавит развитие front-инфраструктуры. Вы будете отвечать не только за техническую реализацию, но и за менторство команды, архитектурные решения и стратегическое развитие надежности сервиса. Ваша ключевая задача — построение и развитие системы Observability для высоконагруженной micro-frontend архитектуры, обеспечение ее отказоустойчивости, масштабируемости и безопасности. Вы будете напрямую влиять на SLA/SLI/SLO сервиса и качество продукта, которым пользуются миллионы. Обязанности * проектирование, внедрение и поддержка отказоустойчивой front-инфраструктуры **giga.chat**. * построение сквозной системы мониторинга, логирования и трейсинга (Observability) для micro-frontend систем. * организация процесса управления инцидентами (Incident Management), поиски (Root Cause), внедрение превентивных мер. * развитие инфраструктуры как кода (Infrastructure as Code), автоматизация процессов развертывания, масштабирования и управления конфигурациями. * наставничество Middle-инженеров, code-review инфраструктурного кода, развитие инженерных практик в команде. Требования * **Уровень:** Senior (от 5 лет опыта в SRE/DevOps), наличие подтвержденного опыта на позиции Team Lead или готовность к руководящей роли. * **Архитектура и сети:** * Глубокое понимание принципов построения высоконагруженных и отказоустойчивых систем. * Экспертное знание сетевого стека (модель OSI, TCP/IP, BGP, DNS). Опыт диагностики сложных сетевых проблем в production-среде. * Экспертный уровень владения балансировщиками: NGiNX (включая Lua/NJS для сложной логики), HAProxy, Traefik. Опыт их тюнинга под экстремальные нагрузки. * **Observability:** * Успешный опыт построения комплексных систем Observability "с нуля" для микросервисных и micro-frontend архитектур. * Экспертиза в стеке Prometheus + Grafana: написание сложных PromQL-запросов, проектирование дашбордов и алертов. * Глубокое знание систем логирования (ELK Stack) и распределенной трассировки (Jaeger, Zipkin). Умение коррелировать метрики, логи и трейсы для быстрого поиска аномалий. * **Безопасность:** * Глубокие знания в области информационной безопасности. Опыт внедрения Zero Trust архитектуры, настройки WAF, защиты от DDoS-атак на уровне L7, управления секретами (Vault). * **Инфраструктура:** * Экспертный уровень администрирования Linux. * Экспертиза в Kubernetes: управление кластерами в production, написание Helm-чартов, диагностика проблем на уровне Control Plane и Data Plane. * Уверенное владение IaC-инструментами (Terraform, Ansible) на уровне написания модулей и ролей. Будет плюсом: * Опыт работы с облачными провайдерами (Sber Cloud, Yandex Cloud, AWS) на уровне построения гибридных инфраструктур. * Опыт работы с Service Mesh (Istio) * Опыт работы с базами данных (PostgreSQL, Elasticsearch, ClickHouse, Mongo) * Опыт работы с системами очередей и кеш-серверами (Kafka, Ignite, Redis) Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис рядом с м.Кутузовская * гибридный формат работы: встречаемся очно в офисе 1 раз в неделю * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа

• 8+ years of production TypeScript/JavaScript experience across frontend and backend. • Deep React and GraphQL expertise (Apollo Server/Client).