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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing production backend systems, with a strong focus on distributed/async runtimes and infrastructure management. Proficient in Python and JavaScript, with a solid understanding of CI/CD practices and system stability.
Highest-signal resume keywords
Distributed/Async Runtime OwnershipDeep Hands-On PythonProduction Experience on KubernetesCI/CD Pipeline ManagementTemporal.io Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend System DevelopmentDistributed SystemsPython ProgrammingJavaScript ProgrammingKubernetes ManagementCI/CD PracticesPerformance OptimizationInfrastructure as CodeEvent-Driven SystemsTask Queue Management
Soft Skills
MentoringCollaborationCode ReviewDesign ReviewProblem Solving
Tools & Technologies
Temporal.ioCeleryKafka StreamsAWS Step FunctionsHelmPrometheusGrafanaClaude CodeGitOpsEKS
Industry Keywords
Production-Scale ExperienceSystem StabilityThroughputTail LatencyBlast-Radius ConstraintsIdempotencyRetriesTimeoutsNon-DeterminismExactly-Once Semantics
Tech Stack
Tools & technologiesAWSGrafanaJavaScriptKafkaKubernetesPrometheusPythonSDLC
About the role
Key responsibilities & impact- Own architectural decisions for the workflow runtime, single- versus multi-tenancy boundaries, and integration patterns
- Write design documents, defend designs in review, and ship implementations
- Deliver end to end from requirements through design, implementation, deployment, monitoring, and post-incident learning
- Partner with Product, DevOps, and engineering teams on cross-team initiatives, including Celery-to-Temporal.io rollout, customer onboarding to new regions, and workflow-runtime breaking changes
- Mentor mid-level engineers through code review, design review, and on-call shadowing
- Continuously improve code quality, system stability, and test coverage
Requirements
What you’ll need- 7+ years building production backend systems, including at least 2 years owning a distributed/async runtime (workflow engine, task queue, event-driven system, stream processor—Temporal.io, Celery, Kafka Streams, AWS Step Functions, or equivalent)
- Deep hands-on Python, plus working JavaScript
- Production-scale experience and mindset, including throughput, tail latency, and blast-radius constraints
- Production experience operating self-hosted infrastructure on Kubernetes; EKS preferred
- Comfortable reading Helm charts, debugging pod resource issues, and reasoning about autoscaling
- Comfortable with CI/CD pipelines, infrastructure-as-code, and being on-call for systems shipped
- Experience using Claude Code or an equivalent agentic coding tool for real SDLC work
- Experience shipping LLM-backed features in production, including agentic workflows, retrieval, tool use, structured output, evaluation loops, and consideration of latency, cost, and safety
- Strongly preferred: direct production experience with Temporal.io
- Strongly preferred: grasp of distributed-systems failure modes, including idempotency, retries, timeouts, partial failures, non-determinism, and exactly-once versus at-least-once semantics
- Strongly preferred: Python performance optimization at the deserialization/interpreter/JIT layer
- Strongly preferred: modern self-hosted infrastructure at scale, including multi-cluster EKS, Prometheus/Grafana, centralized log aggregation, IaC, and GitOps workflows