Senior Backend Engineer for Tempo at Grafana Labs, owning technical direction and major components of the open-source distributed tracing backend. Day-to-day work spans designing and delivering multi-month projects across ingestion, storage, and query; writing design docs; mentoring engineers; and on-call rotation, using Go and observability tools.
Senior Backend Engineer on Grafana Labs' Tempo team, owning distributed tracing infrastructure—ingestion, storage, query, and metrics generation—while building APIs, improving performance at scale, and contributing to open source in Go and Kubernetes-based SaaS.
A senior full-stack engineer who splits time between React frontend work and infrastructure tasks like API gateway, identity, and payments. The role uses TypeScript, React, Keycloak, APISIX, Pulumi, Docker Swarm, Postgres, and related tools in a remote-first environment focused on maritime logistics and emissions compliance.
Designs, develops, and optimizes video capture, encoding, playback, and rendering for Roblox on Android using NDK APIs like Vulkan and AMediaCodec, with opportunities across desktop, console, web, and backend microservices. Core technologies: C++, Android, Vulkan/OpenGL, and video codecs (AVC/HEVC/AV1).
An Infrastructure Solutions Engineer at Planet acts as the first point of contact for internal engineering teams facing infrastructure blockers, executing cloud migrations and building Terraform modules, Helm charts, and Go/Python tooling to make Planet's platform easier to adopt and operate.
Sets technical direction for Toast's developer experience platform, staying hands-on to create build tooling, local development environments, shared libraries, and the developer portal across hundreds of services. Defines AI-native developer workflows, mentors engineers, and partners with product and infrastructure teams to reduce developer friction.
Builds and evaluates autonomous AI agents (Digital Workers) for identity operations and security at Okta. Day-to-day work includes designing agent harnesses for planning, tool use, and memory; integrating OpenAI and Anthropic APIs; and creating evaluation datasets and regression tests using Python, FastAPI, AWS Step Functions, and PostgreSQL/pgvector.
Senior Software Engineer building autonomous AI agents (Digital Workers) for identity operations and security at Okta. Day-to-day involves building agent harnesses, evaluations, and integrations with OpenAI/Anthropic models using Python FastAPI, AWS Step Functions, PostgreSQL/pgvector, and Bedrock AgentCore.
Leads agent harnesses, evaluations, and model quality for Okta's Digital Workers—autonomous AI agents for identity operations and security. Day-to-day work uses Python/FastAPI, AWS Step Functions, OpenAI and Anthropic APIs, PostgreSQL/pgvector, and agent observability to make LLM-powered workers reliable for enterprise customers.
Builds AI agents for PR and communications professionals at Muck Rack, working across a Python agent runtime, MCP server, and Django/Vue application to ship LLM-powered features from idea to production.
Our Mission Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable. Overview How you can make a difference We’re hiring an Associate Cyber AI Engineer to work in two…
Senior backend developer improving a large Java platform for business aviation, owning features end-to-end across distributed services, REST APIs, PostgreSQL, Kafka, and agentic LLM workflows (RAG, tool use) in a fully remote European team. Core stack: Java 17, Spring Boot, Hibernate, with AI-assisted coding tools.
Senior/Staff Software Engineer on Stellar Cyber's Integration Team, owning integration domains end-to-end for an AI-driven SecOps platform (SIEM, NDR, XDR). Builds microservice-based integrations (REST, GraphQL, streaming, MCP, LLM-powered automation), designs parsing/normalization components for security data, and mentors engineers while using AI tools to amplify development.
Owns end-to-end testing and releases for d-Matrix's Inference Cloud, the deployment/orchestration platform for AI inference on Corsair accelerators and GPUs. Builds automated test infrastructure and CI pipelines, runs tests on shared GPU/Corsair hardware, and drives release strategy, versioning, rollback, and release gates across on-prem clusters and Azure using Python, pytest, Rust, and Kubernete
A Staff Site Reliability Engineer shapes Ironclad's cloud platform by leading reliability, capacity, and platform improvements across engineering. Day-to-day work includes designing and operating Kubernetes, multi-region databases, CI/CD, and infrastructure-as-code systems while participating in on-call rotations and mentoring engineers.
A Software Engineer (Security) embedded across Board Intelligence's engineering teams, working with the CISO and CTO to raise secure-build standards. Day to day they configure SAST, DAST, SCA and secret scanning in CI/CD pipelines, review architecture for risks, coach engineers, and build AI agents that continuously test applications.
Builds AI observability features end to end at Honeycomb, from data ingestion to in-product visualizations, helping customers debug agent behavior, cost, and errors. Works full-stack with Go/Python and TypeScript/React in a small cross-functional team.
Works embedded with Addepar’s strategic clients to identify where AI can change how they work, then builds agentic systems from prototype to production. Day-to-day work includes designing LLM integrations, tuning evaluations, and partnering with core engineering to ship product features. Core technologies: Python, LLM APIs (Claude, GPT), SQL, and AWS.
An Applied AI Engineer embedded with strategic clients to identify AI opportunities, prototype agentic systems, and ship production-ready AI capabilities. Role involves client collaboration, LLM integrations (prompt engineering, function calling, structured outputs, retrieval-augmented workflows), evaluation harnesses, and partnering with core engineering to generalize client work into product fea
Lead Product Manager for Foundry's agent runtime and evaluation layer, owning the full lifecycle of AI agents for non-engineers—draft, test, deploy, version, observe—and defining evals, model routing, and governance so fund administration teams can supervise fleets of automated agents.
Cookies?
A session cookie keeps you signed in. If you accept, we also use analytics cookies (Google Analytics and PostHog) to understand usage. Learn more
We couldn't check your fit for this role — add a CV to your profile to see it next time.