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EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud. The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability. The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads. Responsibilities: — Design, develop, test, and document new PGD capabilities — Maintain and improve performance and usability of existing PGD capabilities — Analyze business requirements and translate them into executable tasks — Provide world-class production support to PGD customers — Participate in code reviews and collaborate with a globally distributed team Requirements: — 5+ years of software engineering experience — Strong proficiency in C programming — Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development) — Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes — Experience with multi-version/multi-branch codebases and active backporting workflows — Familiarity with build systems and CI/CD practices — Comfortable working with Git on large, long-lived codebases with complex branching — Strong debugging and performance analysis skills Advantages: — Prior contributions to PostgreSQL or other open-source database projects — Experience with logical replication, logical decoding, or custom replication solutions — Knowledge of distributed consensus algorithms such as Raft — Familiarity with PostgreSQL extension API and hook system — Experience with high availability architectures and failover mechanisms — Experience with Python and Rust — Experience with major cloud providers: AWS, Azure, GCP — Experience with Ansible, Docker, and Kubernetes EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026. EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect. EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.

Location: San Francisco, CA, USA About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem. Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution. Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows. Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture. Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows. Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners. Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance. Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence. Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns. Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities. To thrive in this role, you Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems. Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers. Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality. Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain. Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries. Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks). Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads. Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents. Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards. Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them). Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts. Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a Senior Platform Engineer to build and operate the platform our engineering teams ship on. AWS should be second nature: deep enough to reach for it before documentation, and you should be as comfortable working alongside AI agents as in a terminal. The ideal candidate has genuinely operational AWS expertise, has worked in or closely with a platform team before, and knows a platform only succeeds when engineers choose it. They will own shared infrastructure, pipelines, and tooling end to end, partner with our architecture team on turning direction into paved paths teams actually adopt, and treat the engineers who use the platform as the customers they are. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. HOW OUR PLATFORM TEAM WORKS If you have worked on a platform team, this will be familiar. If you have not, read it carefully, because it is the job. - The platform is a product and engineers are its users. Adoption is the measure of success, not tickets closed. If teams route around something we built, that is our problem to solve, not their failure to comply. - Self-service over gatekeeping. If the answer to a common request is a ticket to us, that is a bug in the platform. - We pave roads, we do not police them. Standards belong in pipelines, templates, and defaults, not in reminders and review comments. - Small team, wide surface. Leverage matters more than heroics, which is why AI tooling and automation are not side projects here - they are how the surface stays covered. - We operate what we ship. On-call for platform services is ours. So is the postmortem, and so is fixing the class of problem rather than the instance. - Documentation is a deliverable. A capability nobody can find or adopt without asking us is not finished. KEY RESPONSIBILITIES - Build and operate the shared platform: CI/CD pipelines, service templates, deployment tooling, and the shared infrastructure services teams depend on. - Own AWS infrastructure as code across multiple accounts, in Terraform, CDK, or both, held to the same standard as application code, including review, testing, and a real rollback story. - Implement and sustain the paved paths teams build on, partnering with architecture on direction while owning the operational reality once a path is live. - Operate what you build: on-call for platform services, incident response, the postmortem, and fixing the class of problem rather than the instance. - Build observability in by default: metrics, logs, traces, SLOs, and alerts that page a human only when a human is actually needed. - Own platform security posture alongside Security: identity and permission boundaries, secrets handling, network and data isolation, and remediation of findings in a HIPAA and SOC 2 environment. - Make cloud spend attributable and defensible through tagging discipline, cost visibility, and removing waste before it compounds. - Use AI agents as a normal part of daily workflow, and build them into the platform where they create leverage, including code review, alert triage, migrations, and repetitive remediation. - Automate toil out of the platform, reducing the number of requests that require a person at all, and measure whether it worked. - Treat documentation and developer onboarding as part of the deliverable, so teams can adopt platform capability without asking first. - Drive adoption of platform capability and standards, including the unglamorous migration work needed to move existing services. - Raise the engineering bar through code review and mentorship, and help other engineers get more out of AI tooling. QUALIFICATIONS - Five or more years of software or infrastructure engineering experience, including ownership of production systems that you also operated. - AWS to a depth that is genuinely second nature - reasoning about IAM policy evaluation, VPC routing and DNS, and container or serverless runtime behavior without reaching for documentation first, and having been the person who diagnosed it under real pressure. - Hands-on ownership of a multi-account AWS environment, including identity boundaries, networking, managed data services, and cost and tagging governance. - Infrastructure as code as your default rather than your fallback, in Terraform, CDK, or both, including how you review it, test it, and reason about blast radius before applying it. - Strong CI/CD engineering, including shared or templated pipelines consumed by more than one team. - Experience working in or closely with a platform, infrastructure, or developer experience team, and a clear point of view on what makes a platform get adopted rather than merely tolerated. - Real comfort with AI tooling in daily engineering work - using coding agents such as Claude Code to do meaningful multi-step work, able to describe where they fail and how you catch it, and keeping ownership of what ships. - Production operations experience: on-call, incident response, postmortems, and SLO thinking. - Strong programming ability in at least one language such as Python, Go, TypeScript, or a JVM language, enough to build tooling rather than only configure it. - Sound judgment on security, secrets, access control, and data handling, ideally in a regulated or audited environment. - Clear written communication - on a platform team, documentation and a well-argued change proposal are load-bearing, not overhead. PREFERRED QUALIFICATIONS - Healthcare or another regulated domain, including HIPAA and SOC 2 obligations. - Previous experience in a venture-backed high growth company. - GitLab CI at scale, including templated pipelines with typed inputs consumed across many repositories. - Datadog in depth: monitors, dashboards, SLOs, and keeping observability cost under control. - Container orchestration at production scale, such as ECS or Kubernetes. - Building AI tooling rather than only using it, such as MCP servers, Claude Code plugins or skills, or agent harnesses. - Dependency and currency automation, such as Renovate, and the lifecycle policy around it. - Delivery metrics work, including DORA, and the definitional arguments that come with it. - Familiarity with Team Topologies vocabulary and where platform teams fit alongside stream-aligned and enabling teams. - Experience decommissioning a platform capability, not only launching one. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams. The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk. KEY RESPONSIBILITIES - Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way. - Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around. - Do the first real implementation yourself, on a real workload with a real team, not in a demo repository. - Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models. - Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure. - Own migration and adoption, including moving existing services onto the path and retiring what it replaces. - Stay in code review across teams and close to production incidents as primary evidence of where the path is failing. - Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes. - Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance. - Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams. - Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence. - Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced. - Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services. - Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited. - Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments. - Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable. - Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default. - Establish one standard way to build, run, evaluate, and operate AI systems. - Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem. - Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room. - Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly. - Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments. - Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces. - Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked. - Represent technical direction to leadership and carry business context back to engineering. - Partner with Product to shape the roadmap and translate ambiguous business problems into architecture. - Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents. - Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted. QUALIFICATIONS - Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production. - Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks. - Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around. - Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control. - Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both. - A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why. - Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships. - Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system. - Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows. - Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment. - Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided. - Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate. - Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled. - Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role. PREFERRED QUALIFICATIONS - Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR. - Previous experience in a venture-backed high growth company. - Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement. - Experience with GitLab CI at scale, including shared and templated pipelines. - Production observability and LLM observability practice, including Datadog. - Event-driven and streaming architecture, such as Kafka or Flink. - Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs. - Experience defining an AI governance or technology radar process alongside a security or compliance partner. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Sales Engineer Enterprise to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the West Region. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs What You’ll Do Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We’re Looking For 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures Hands-on experience with SQL, ETL/ELT, and data modeling Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools Ability to gather and translate technical and business requirements into concrete solutions Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills Prior experience at an analytics, ETL, BI, or open-source software company Hands-on experience with dbt Cloud or dbt Core or Fivetran Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) Experience with self-hosted software applications and supporting infrastructure Hands-on networking experience, cloud and on-premise The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process OTE (On Target Earning) $218,491.87 — $303,462.32 USD 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: Lithuania Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Serbia Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Portugal Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Poland Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian. Experience in fintech. Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Задачи: — Дизайн, реализация и запуск задач целиком — Улучшение и оптимизация системы — Разбор проблем в продакшене Требования: — Сильный сеньор, способный взять задачу целиком — 5+ лет продакшн-опыта на C#/.NET — Опыт работы с распределёнными системами под реальной нагрузкой — Глубокие знания SQL Server — AI-native: опыт работы с Claude Code или аналогичными инструментами — Привычка к постоянному улучшению системы, выявлению и устранению проблем — Стек: C#/.NET, GraphQL, gRPC, MediatR/CQRS, EF Core, SQL Server, Redis, Kafka, MassTransit, AWS, Kubernetes/Helm, Argo CD, OpenTelemetry Условия: — B2B — Полная удалёнка — Гибкий график — Оплачиваемый AI-тулинг (Claude Code и другие инструменты для ускорения работы) — Возможности роста до тех-лида / владельца домена

Задачи: — Возглавить техническое развитие NLP в AI-продукте с большими языковыми моделями в production. — Оптимизировать скорость, стоимость и стабильность inference больших LLM. — Работать с distributed inference на multi-GPU / multi-node инфраструктуре (32×H200 + AWS). — Заниматься training и post-training LLM, развитием agent architectures. — Оказывать техническое лидерство NLP/CV-команде с перспективой роста до Head of ML. Требования: — Production-опыт оптимизации LLM inference: SGLang / vLLM / TensorRT-LLM. — Опыт работы с distributed inference/training больших моделей: MoE, tensor/expert/pipeline parallelism, multi-node GPU. — Знания KV cache, attention kernels, batching, quantization, GPU profiling. — Опыт training/fine-tuning и post-training: RLHF, DPO или аналоги. — Уверенное владение PyTorch и Transformers. — Английский язык на уровне B2 и выше. Условия: — Около 70% времени hands-on engineering, без Project/People Management. — Работа удалённая. — Сильная команда и высокое вознаграждение.

Компания •••• — глобальная компания по разработке программного обеспечения, объединяющая более 2400 специалистов в 40+ странах, работающая с лидерами отрасли и компаниями из Fortune 500. Специализация включает облачные технологии, данные, AI/ML, встроенное ПО, IoT и другие направления, обеспечивая цифровую трансформацию в финансах, производстве, телекоммуникациях, здравоохранении и других сферах. Роль Principal Solutions Architect предполагает ключевую руководящую позицию, формирование технологического направления, руководство межфункциональными инициативами и обеспечение высокоэффективной реализации проектов. Обязанности включают ведение сложных проектов от этапа исследования и консультаций до внедрения, наставничество архитекторов, развитие практик и вклад в стратегический рост компании. Задачи: — Ведение архитектурного видения и стратегических инициатив для портфеля корпоративных клиентов. — Развитие практик через создание фреймворков, методологий и повторно используемых активов для решений и консультаций. — Формирование и наставничество команд архитекторов и инженеров для повышения квалификации и технического уровня. — Консультирование руководителей C-level и технологических лидеров клиентов по цифровой стратегии и технологическим дорожным картам. — Контроль реализации архитектуры для соответствия лучшим практикам, поддерживаемости и долгосрочной ценности. — Руководство или участие в фазах исследования, оценках, технических воркшопах и аудитах архитектуры. — Преобразование сложных бизнес- и технических требований в масштабируемые архитектурные решения. — Ведение предложений решений на этапах предпродаж и допродаж, включая техническое видение, дизайн, управление рисками и оценку стоимости. — Руководство выполнением проектов с обеспечением соответствия архитектуры видению. — Оценка и внедрение новых технологий, согласование потребностей клиентов с перспективными архитектурными подходами. — Выполнение роли главного архитектора и руководство командой архитекторов на сложных проектах. Требования: — Более 10 лет опыта в разработке программного обеспечения и архитектуре решений. — Более 3 лет на руководящих архитектурных позициях в IT-сервисах или консалтинге. — Опыт ведения сложных консультационных проектов с глобальными корпоративными клиентами. — Опыт создания решений с нуля, предпочтительно для крупных распределённых систем (команда 30+, срок 12+ месяцев). — Глубокое понимание облачной архитектуры с практическим опытом работы минимум с двумя крупными облачными платформами (AWS, Azure, GCP). — Сильные знания микросервисов, API, интеграционных паттернов и проектирования распределённых систем. — Опыт наставничества и развития команд в матричной или консалтинговой среде. — Отличные навыки взаимодействия с заинтересованными сторонами, комфортное общение как с инженерами, так и с руководителями. — Владение современными практиками доставки: Agile, DevOps, CI/CD, Infrastructure as Code. — Английский язык на уровне Upper-Intermediate или выше. Желательные сертификаты: — SEI Software Architecture Professional, TOGAF или аналогичные. — Сертификаты облачных платформ (AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert). — Специализация в областях данных, безопасности или корпоративной интеграции является плюсом. Условия: — Гибкий формат работы: удалённо, в офисе или гибрид. — Конкурентная зарплата и компенсационный пакет. — Персонализированный карьерный рост. — Инструменты профессионального развития (менторство, технические доклады и тренинги, центры экспертизы). — Активные технические сообщества с регулярным обменом знаниями. — Возмещение расходов на образование. — Памятные подарки к юбилеям. — Корпоративные мероприятия и тимбилдинги. — Другие льготы, зависящие от локации (не применимо к фрилансерам).

Location: Berlin Office; Iasi Office; London Office; Dublin Workplace: Hybrid ABOUT THE ROLE Banks and fintechs use Taktile to automate critical decisions, like credit and risk, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and the backend is where the hard problems live. We're growing rapidly with enterprise customers across banking and insurance, and we're looking for a Senior Backend Engineer to join Team Atlas : a small, high-ownership team focused on the data infrastructure powering our feature computation platform. You'll own critical systems end-to-end, and your decisions will shape the product. WHAT YOU'LL DO - Build and operate backend services in Python on AWS — Lambda functions, DynamoDB, Aurora, and event-driven pipelines that handle real production traffic. You'll leverage agentic AI tools as part of your daily workflow. - Tackle hard backend problems — latency, reliability, and scale are everyday concerns. - Own your systems end-to-end: from architecture and implementation to deployment, monitoring, and incident response. - Make key architectural decisions — you'll have real authority over how things are built, not just what gets built. - Raise the bar for the team through code reviews, mentoring, and improving our development tooling and processes. - Work directly with Product and Design to shape what we build next. REQUIREMENTS - At least 7 years of professional software engineering experience, with a proven track record of leading complex projects in a senior capacity (2+ years). - Deep expertise building backend systems on cloud platforms, we use AWS. - Strong system design skills — you're comfortable making architectural trade-offs and defending them. - Depth in at least one of these areas: data pipelines and storage, event-driven architectures, caching and performance, or serverless systems. You don't need all of them. - Strong communication and collaboration skills, with the ability to align technical and non-technical stakeholders on a shared vision. - The ability to work in a hybrid model from our Berlin HQ, the London office, or the Iasi hub. Please note that relocation assistance is not provided for this role. IDEAL, BUT NOT REQUIRED - Python, FastAPI, Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark - Streaming / real-time data pipelines (Kinesis) - Multi-level caching strategies (Redis, DynamoDB, in-memory) - Serverless at scale (Lambda, SAM, CloudFormation) OUR OFFER - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Receive a new Apple MacBook Pro, as well as meaningful home office set-up. OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. ABOUT US Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Chile, Santiago Workplace: hybrid About Truv   Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access. Our technology streamlines income and employment verification, direct deposit switching, and more—eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we’re disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access. We’re joining Checkr soon, bringing our verification technology and data connectivity together with Checkr’s platform. What you’ll do Design, implement, and test cloud-based server-side code in Python Use best practices for optimized code performance Write and maintain unit/integration tests What you bring Basic ML and LLM APIs + experience in document parsing or similar Strong knowledge of Python 5+ years of experience Knowledge in DevOps / AWS / Containerization tools such as Docker. Working experience with CI/CD Advanced English communication skills Availability to work on hybrid schedule in Santiago, Chile (3 days per week, Offices located in Gran torre Costanera) Preferred skills Data parsing experience Experience in reverse engineering public APIs Experience with PostgreSQL Understanding of Django ORM/DRF Strong background in network protocols Good knowledge of web and mobile technologies What We Offer A collaborative and fast-moving environment Be part of an international company based in the United States $3,000 USD per year learning and development reimbursement allowance Competitive compensation and opportunity for professional and personal advancement 100% medical, dental, and vision coverage for employees and dependents Additional vacation benefits of 5 extra days and flexibility to take time off We are an equal opportunity employer committed to diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

Задачи: — Разработка production-ready AI, LLM и agent-based решений. — Управление полным циклом разработки AI: архитектура, реализация, тестирование, деплой и эксплуатация. — Интеграция компонентов на базе LLM с детерминированной логикой, Context Engineering и Harness Engineering. — Разработка Tool Calling Loops и подключение API, backend-сервисов и корпоративного ПО. Требования: — Минимум 3 года опыта создания и поддержки production AI приложений на базе LLM. — Не менее 3 лет практического опыта в Agentic Engineering, включая дизайн, реализацию, интеграцию, деплой и поддержку AI агентов. — Опыт разработки Tool Calling Loops и интеграции с API и backend. — Опыт интеграции LLM-компонентов с Context Engineering и Harness Engineering (минимум 1 год). — Знание MCP и корпоративных AI интеграций. — Опыт с RAG-решениями и разработкой LLM приложений. — Умение управлять полным циклом AI разработки. — Отличные коммуникативные навыки для взаимодействия с командами и бизнес-стейкхолдерами. — Наличие минимум 2 проектов с подтверждённым опытом коммуникации со стейкхолдерами. Дополнительные преимущества: — Знания в области AI governance, безопасности, комплаенса и защиты данных. — Опыт работы с инструментами мониторинга AI, такими как Langfuse, Arize и аналогичными. — Опыт с корпоративными AI экосистемами, AI шлюзами, управлением жизненным циклом prompt и governance моделей. — Понимание дизайна мультиагентных систем и оркестрации агентов. — Более 2 лет опыта с RAG и MCP серверами. — Знакомство с AWS и AWS Kiro. — Опыт внедрения AI guardrails и мер безопасности. — Знание CI/CD и практик автоматизированного тестирования. Условия: — Контракт до 31 декабря 2029 года с возможностью продления. — Полная занятость. — Полностью удалённая работа в пределах ЕС. — Требуемый уровень английского C1. — Старт как можно скорее.

Location: Remote - Costa Rica Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary If you like owning problems end to end, making security a default property of everything we build, and working closely with engineering, we want to meet you. Bugcrowd is looking for security engineers who move beyond standard tooling and drive measurable security outcomes our customers can rely on. You will help us shape a culture where security helps others succeed, not just points out problems. Essential Duties and Responsibilities Partner Closely with Engineering : Refine architecture, validate new features, and drive security investment while prioritizing engineering velocity Build Security Paved Roads : Contribute to the secure defaults, libraries, and "paved roads" that systematically eradicate entire classes of vulnerabilities rather than fixing bugs one by one Create Feedback Loops : Tune security tooling such as SAST, DAST, SCA, and secret scanning to reduce noise and focus on what matters Be our Best Customer : Ensure our bug bounty program can be a model for other customers. Experiment with new ways to leverage the creativity of the crowd. Provide feedback on new platform features to engineering and product Own Projects End to End : Lead cross-functional product security projects from scoping through delivery, influencing product and engineering roadmaps and clearly communicating risk to both technical and non-technical stakeholders Amplify our Impact : Use code and automation as a lever to scale coverage and eliminate repetitive work. Build systems based on incentives and accountability rather than just bureaucratic process Education, Experience, Knowledge, Skills, and Abilities 3+ years of experience in product security, application security, or secure software development Can review code, automate tasks, and build security tooling in at least one modern programming language (e.g., Python, Go, Ruby, Java) Hands-on experience with core application security practices — threat modeling, secure code review, and automated testing (SAST, DAST, SCA) — and a solid grasp of common vulnerability classes (e.g., OWASP Top 10) Demonstrated ability to manage projects and influence cross-functional partners across engineering, DevOps, and product. Bachelor's degree in engineering, computer science or relevant field, or equivalent practical experience Bonus Points (Preferred but not required) Previous experience with Bug Bounty or vulnerability disclosure programs A background in building "paved roads" or secure-by-default internal libraries to eliminate entire classes of vulnerabilities Hands-on experience securing cloud-native platforms and Infrastructure as Code (e.g., Terraform, AWS, GCP, Kubernetes, Docker) Experience working within a fast-paced, high-growth security or SaaS company Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Espoo; Berlin Workplace: Hybrid Role highlights: - Senior DevOps Engineer (Ground Stations) - Location: Berlin, Germany or Espoo, Finland - Department: Fleet Control and Satellite Communications - Reports to: Engineering Manager, CONNECT & Ground Stations - Employment type: Permanent - Workplace model: Hybrid, 3 days a week at the office in Berlin or Espoo - Employment is subject to applicable security screening (incl. SUPO) Why this role matters As a Senior DevOps Engineer, you'll own key parts of the cloud platform that keeps ICEYE's satellites talking to Earth. You'll shape how our AWS and Kubernetes environments are designed, secured and operated across ground stations, test environments and end-user platforms. You'll make infrastructure decisions that decide whether engineering ships fast and whether satellite operations stay connected when it matters most. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Own key parts of the AWS and Kubernetes platform behind our ground station and connectivity systems, working alongside another senior DevOps engineer and making explicit architecture trade-offs between reliability, cost and delivery speed - Drive infrastructure initiatives in your areas from design to delivery, including the dependencies on software teams and ground station vendors - Evolve our Terraform and deployment setup with reusable patterns that prevent whole classes of configuration and release issues - Design and harden the network between our cloud environments and ground station sites - Turn loosely defined operational problems into clear technical plans and working solutions - Drive platform incidents to resolution, find the root cause, and turn what you learn into lasting reliability improvements - Share your expertise through reviews, pairing and technical guidance, and help raise the bar on how we build and run infrastructure What we're looking for Must haves: - Experience owning a platform or critical infrastructure area end to end, including its architecture decisions and trade-offs - Extensive hands-on experience designing and operating production environments on AWS, including IAM, cost management, and security practices such as least privilege and secrets management - Strong cloud networking skills: VPC design, DNS, routing, security groups, and debugging connectivity across cloud and on-prem environments - Deep Terraform experience, including designing modules and managing infrastructure at scale - Experience running Kubernetes in production, including deployments, Helm and troubleshooting - A track record of resolving production incidents and driving lasting reliability improvements - Experience designing CI/CD pipelines with tools such as GitHub Actions Nice to haves: - Hybrid cloud and on-prem experience - Scripting or software engineering experience with Python, Bash or Go - Observability practices, including logging, metrics, alerting and tools such as Grafana - Experience with databases such as PostgreSQL, RDS or MongoDB - Experience in regulated, defence or security-sensitive environments Application Process - Talent Attraction Partner Screen Call - Hiring Manager interview - Technical interview - Values & Fit interview Working at ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.