Lead technical architect for Coinbase's Risk Platform responsible for designing and implementing high-throughput, low-latency, highly available backend systems (real-time fraud detection, risk decisioning, financial risk monitoring), shaping multi-quarter technical strategy, collaborating with Data Science/ML/Product/Compliance, and mentoring engineers. Requires 8+ years backend experience and experience with microservices, event-driven architectures, REST/GraphQL, and building systems at scale.

Role requires owning multi-quarter technical strategy and architecture for payment rails, orchestration, routing, and funds-flow services across 50+ countries. Responsibilities include designing highly available, low-latency cloud-native systems, enforcing financial correctness (idempotency, reconciliation, auditability), leading cross-team initiatives, improving reliability via observability, and mentoring senior engineers. Requires 12+ years experience with large-scale distributed systems and payments/ledgering expertise.

Join Coinbase's Developer Infrastructure team to design, build, and operate core services across CI, build systems, deployment orchestration, and test infrastructure. Responsibilities include improving engineering productivity metrics (build/CI time, deploy speed/safety, test feedback), owning services end-to-end (architecture, observability, SLOs, on-call), partnering with engineering teams, leading technical design, and mentoring engineers. Requires 5+ years building and operating production software, strong distributed systems fundamentals, proficiency in Go or similar, and experience with Kubernetes, AWS, GitHub Actions, Terraform, containers, and observability tools (e.g., Datadog). Annual base salary range: $186,065–$218,900 USD.

Remote (Canada) senior backend role on Coinbase's Risk Engineering team. Lead design and delivery of complex risk platform features (real-time decisioning, model-driven fraud detection), drive architecture, partner with Data Science/ML/Product, build AI-native automation, own operational excellence and incident response. Requires 5+ years backend engineering and deep proficiency in Go, Ruby, Python, or Java. Annual base salary listed at 191,100 CAD.

Mozilla is hiring a Senior Software Engineer for the Privacy Team to implement privacy-improving, anti-tracking features and data sanitization in the Firefox web browser, and to make architectural improvements to Gecko. The role involves writing performant C++, JavaScript and Rust code, working asynchronously with a distributed team. Requires a bachelor's degree or equivalent and at least 4 years' experience with C++ and Rust, strong memory-safety and multi-threaded architecture skills. Bonus experience includes browser engines, ML pipelines, Python, SQL and statistical modeling.

NEORIS busca un Ingeniero de IA senior para diseñar, desarrollar e implementar flujos de automatización end-to-end, orquestar integraciones vía APIs, incorporar capacidades de IA (NLP, OCR/IDP, GenAI) y desarrollar agentes de IA con frameworks como LangGraph. Requiere experiencia en desarrollo de software, mínimo 2 años en automatización/orquestación de workflows y mínimo 3 años en implementación de soluciones de IA; conocimiento de BPMN o UML, plataformas low-code y cloud.

Hiring a Staff Software Engineer to set technical direction and deliver a self-service infrastructure platform: design platform APIs (primarily in Go), build Terraform/GitOps delivery flows (Argo CD), evolve multi-tenant EKS and multi-region networking, and improve observability and SLOs (Grafana). Role is remote-first, based in Canada or the United States; requires ~8+ years of hands-on experience in backend, infrastructure, or platform engineering. Docker considers visa sponsorship on a case-by-case basis.

Cribl seeks a Senior Software Engineer for its Platform team to lead technical vision and implement identity management, authentication and authorization across scalable, resilient backend and full‑stack TypeScript services. The role involves building on cloud (preferably AWS), working on distributed SaaS platforms, driving architectural changes, improving CI/CD and automated tests, mentoring engineers, and participating in on‑call/service ownership. Applicants must be able to comply with U.S. government security requirements (may include U.S. citizenship).

Tide is hiring a Senior Python Engineer to own and maintain backend services within cross-functional squads. The role emphasizes Python (Django/FastAPI/Flask), AWS (Lambda, Fargate, EKS, SQS, SNS, SES, S3), Postgres, BigQuery and Terraform, working in agile teams on microservices, REST APIs and event-driven integrations. The position is remote-first and offers a gross annual salary range of €55,600–€69,500.

Role involves leading design and implementation of high-performance backend services for complex distributed systems, making technology decisions, writing well-tested code, applying modern development practices (BDD/TDD), collaborating across product teams, conducting code reviews, and producing internal documentation. Experience with Python and payments domain knowledge is beneficial. The team is fully remote; candidates must be located in one of the listed countries.

Work on greenfield agentic workflows within the Deep Learning Framework Group to enable autonomous agents to build, test, and optimize code against real GPUs. Responsibilities include partnering with internal engineering teams, designing multi-agent orchestration and LLM-based workflows (e.g., LangChain/LangGraph), integrating with git-native CI pipelines, and applying compiler and hardware-aware optimizations. Requires strong Python skills, experience with AI systems, compiler or code-generation background, and a track record of shipping complex projects. Posted base salary ranges: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Remote Senior Software Engineer on the PerfectScale team, based in EMEA (UK, Ireland, Estonia, Netherlands, Sweden, Israel; contractors considered in Eastern Europe and Portugal). Responsibilities include designing, building, and deploying distributed systems and high-throughput data pipelines (primarily in Go), leading architecture and technical initiatives, and mentoring engineers. Requires substantial backend experience (8-15 years) and hands-on expertise with databases (Postgres, ClickHouse), containers and orchestration (Docker, Kubernetes), microservices, and modern DevOps practices.

Hands-on Senior Software Engineer role at DoiT (PerfectScale) focused on designing and deploying distributed systems and data pipelines. Requires ~8+ years backend experience (8-15 stated), 2-3 years commercial Go experience, and expertise with cloud-native technologies (Docker, Kubernetes, microservices), databases (Postgres, ClickHouse) and performance-sensitive workloads. Remote-based in specific EMEA countries listed in the posting.

Full-time senior software engineering role on DoiT's PerfectScale team. Responsibilities include designing, building, and operating distributed systems and data pipelines, leading architecture decisions, contributing high-quality code, and mentoring engineers. Requires strong backend experience (8+ years), 2–3 years commercial Go experience, and expertise with databases (Postgres, ClickHouse), containers, Kubernetes, microservices, and CI/CD.

Hands-on senior engineer and architectural leader for PerfectScale, responsible for designing, building, and operating distributed systems and high-throughput data pipelines primarily using Go and cloud-native technologies. Requires 8+ years backend experience (including 3+ years architecting high-load systems) and expertise with databases (Postgres, ClickHouse), containers, Kubernetes, microservices, and modern DevOps practices.

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.

Senior Fullstack Engineer role focused on backend and frontend development using Java/Spring Boot and Python/Django, and React for frontend. Responsibilities include building scalable services, event-driven architectures with Kafka, GraphQL APIs, working with SQL or MongoDB, contributing to data platform initiatives (Dagster, Data Lakes, Amazon Athena), and maintaining CI/CD, testing, and engineering best practices. Position is remote and restricted to residents of Latin America; requires 5+ years of professional full-stack engineering experience.

Role responsible for greenfield implementation of PLG growth and lifecycle systems across web, desktop, plugin, and mobile. Responsibilities include selecting and owning martech stack (CDP, analytics, messaging, warehouse, reverse-ETL), designing event taxonomy and identity resolution, building funnels and attribution, implementing in-app PLG mechanics and paywalls, and running experimentation and growth dashboards. Requires 6+ years of product/growth infrastructure experience, hands-on proficiency with TypeScript, Node.js, Python, SQL, and deep expertise in growth/lifecycle marketing.

Mid-level individual contributor responsible for building and extending platform services that handle federated identity, authentication flows, and authorization enforcement across MeridianLink products. Role requires hands-on experience with OAuth 2.0, OIDC, SAML, JWT, backend service development in Python or .NET, API/integration patterns (REST, event-driven), multi-tenant considerations, observability, and active use of AI-assisted development tools. Expected to participate in on-call rotations, write tests, mentor junior engineers, and support product teams integrating with the identity platform.

Role responsible for designing and implementing shared AI platform services (model serving, prompt management, retrieval infrastructure, embedding pipelines, vector store management), establishing integration standards, monitoring and safety practices, and driving adoption across product teams. Requires 8+ years of software engineering experience and 3+ years integrating LLMs/ML models into production; familiarity with cloud-managed AI services and regulated-industry constraints.