• Design and implement backend features that apply and extend the Temporal OSS replication stack to new Temporal Cloud capabilities • Contribute to Temporal Cloud High Availability features, including: • Namespace replication within and across regions and cloud providers • Monitoring replication health and lag • Supporting manual and automated failover workflows • Build and improve namespace migration systems, including: • Migration of namespaces and workloads between self-hosted Temporal clusters and Temporal Cloud • Migration between Temporal Cloud environments or regions • Tooling that supports safe cutover, validation, and rollback • Own medium-to-large features end-to-end, from design through production rollout and long-term maintenance • Write clear design documentation describing system behavior, tradeoffs, and failure modes • Ensure features are production-ready by delivering: • Service-level logs, metrics, and tracing • Alerts, dashboards, and operational runbooks • Participate in operational ownership, including on-call rotations, incident response, and postmortems • Collaborate with teammates to continuously improve reliability, operability, and development velocity

• Research and develop state-of-the-art state estimation and navigation algorithms to enable resilient autonomy in challenging GPS-denied environments. • Design and deploy production-grade C++ software for embedded robotic systems operating in dynamic, real-world environments. • Build and maintain rigorous unit, integration, and system-level tests to ensure system robustness and safety. • Develop and enhance modeling, calibration, and simulation tools for inertial and vision-based navigation systems. • Contribute to roadmap planning, feature decomposition, and agile execution alongside a multidisciplinary team of autonomy engineers. • Continuously enhance performance analysis, benchmarking, and validation pipelines to drive rapid innovation and improvement.

• Design, build, and ship agentic workflows across multiple domains (research agents, coding assistants, conversational agents (voice, texts, etc), reasoning agents, scheduling agents, analytics agents, workflow automation bots, etc.) • Own the end-to-end lifecycle: data ingestion → reasoning → action taking → evaluation → monitoring. • Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration. • Architect systems using modern agent stacks (LangChain, LlamaIndex, OpenAI Assistants, Model Context Protocol (MCP), custom orchestration). • Build robust retrieval pipelines (RAG), vector embeddings, caching layers, and knowledge grounding systems. • Deploy agents as microservices with proper observability, evals, guardrails and fallbacks. • Optimize inference cost, latency, accuracy, and task-completion rates. • Run systematic evaluations: function calling accuracy, groundedness, hallucinations, long context stability. • Create reusable frameworks and libraries to accelerate subsequent agent builds. • Comfortable building MVPs in days and scaling them to stable production within weeks/months • Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs • Design and develop new software and enhance existing software for clients’ systems, and for Cority’s base software. • Communicate directly with Product Owners to ensure that requirements and specifications are understood. • Develop high-quality software and is an advocate of automation frameworks for testing, integration, and deployment. • Review completed software designs or prototypes with team and participates in code reviews • Mentor junior developers. • Open to learning and working with modern technologies as required in the project.

• Work with Imogen to modernize production mainframe systems in collaboration with customers and partners • Work as part of small, cross-functional XP teams, pairing daily and collaborating closely with product managers, designers, client engineers, partners, and internal platform teams • Lead and facilitate technical discovery sessions and workshops, including on-site with customers • Apply XP engineering practices such as pair programming, TDD, refactoring, and CI/CD • Use and experiment with LLM-assisted coding tools • Design and operate production systems with a focus on durability, operability, and eventual client and partner ownership • Execute delivery work in a way that enables partner engineers to independently deliver modernization efforts • Collaborate closely with partner engineers through pairing, mentoring, and shared problem solving • Work flexibly across time zones when collaborating with partners