Job Description What you get to do in this role: Software Development ◦ Design, develop, test, deploy, maintain, and improve software in Go and Python. ◦ Build scalable, reliable backend services/APIs/microservices with clear SLAs and contracts. • Code Quality & Standards ◦ Ship clean, well-documented, maintainable code with unit/integration tests by default. ◦ Participate in design/code reviews; enforce linters, static analysis, and style guides. • Systems Design & Architecture ◦ Design fault-tolerant, high-throughput systems: concurrency models, performance tuning, caching, data partitioning. ◦ Integrate with relational/NoSQL stores, streams/queues, and cloud-native services. • Troubleshooting & Reliability ◦ Diagnose and resolve production issues across service/network/data layers to reduce MTTR. ◦ Instrument with Prometheus/OpenTelemetry/Grafana; define actionable alerts tied to SLOs. • Collaboration & Delivery ◦ Partner with Product, QA, and engineers to shape requirements and deliver iteratively in Agile. ◦ Author crisp design docs/ADRs and runbooks; provide thoughtful PR reviews and mentorship. • Cloud Integration ◦ Design solutions on AWS/Azure/GCP (compute, storage, networking, IAM) with the right managed services. ◦ Build with Docker/containerd and operate Kubernetes (ingress, autoscaling, secrets, config). • CI/CD & Automation ◦ Automate build/test/release (GitHub Actions/GitLab/Jenkins) with canary/blue-green and safe rollbacks. ◦ Codify infra with Terraform (modules/workspaces) and adopt GitOps (Argo CD/Flux). ◦ Create internal CLIs/SDKs and scripts (Go/Python/shell) to remove toil and speed dev workflows. • Security & Compliance ◦ Implement OAuth2/OIDC/JWT, manage secrets (AWS Secrets Manager / Azure Key Vault / GCP Secret Manager), enforce least-privilege IAM. ◦ Bake in security checks (SAST/DAST, dependency scanning, SBOM/signing) and follow CIS/benchmarks. • AI & Intelligent Automation ◦ Accelerate engineering with AI (tests, scaffolding, code review) using curated prompts/guardrails. ◦ Deliver AI/RAG features and embed AI in ops (log/alert triage, ChatOps); ◦ Ensure quality/safety/cost via eval sets, telemetry & token tracking, and PII-safe redaction/rate limits. Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 12+ years building/operating high-scale backend APIs and platforms with end-to-end ownership. • Go expertise: idiomatic design; goroutines/channels; context/timeouts; sync patterns; memory/GC tuning; pprof/benchmarks; race detector; generics; clean error handling. • API design & productization: REST/gRPC; OpenAPI/Protobuf; versioning; pagination/filtering; partial responses; idempotency keys; retries/backoff; circuit breakers; rate limiting/quotas; SDK generation; deprecation strategy. • Data & caching: PostgreSQL/MySQL schema design, migrations, transactions, pooling, replicas; Redis (cache-aside/write-through), locks, TTLs; messaging with Kafka/SQS/Pub/Sub, DLQs, “exactly-once-ish” via idempotency. • Reliability & observability: structured logs (slog/zap), request/correlation IDs, OpenTelemetry traces/metrics/logs, dashboards & SLOs/error budgets; feature flags; blue-green/canary; chaos/soak tests. • API security: OAuth2/OIDC/JWT, mTLS, RBAC/ABAC, input validation, OWASP API best practices; secrets via Secrets Manager/Key Vault/Secret Manager; KMS and audit logging. • Kubernetes ops: EKS/AKS/GKE; cluster upgrades; HPA/VPA; PDBs; network policies; ingress/gateways; storage classes. • Cloud depth: Strong in one (AWS/Azure/GCP) with working knowledge of the others. • CI/CD & supply chain: GitHub Actions/GitLab/Jenkins; multi-stage pipelines; contract/integration tests; k6/Vegeta load tests; linters/static analysis; SBOM & cosign; admission controls/policy-as-code. • Communication & leadership: clear design docs/ADRs, constructive reviews, mentorship, crisp incident comms. • AIOps : pragmatic use of embeddings/vector stores and RAG for runbooks/KB, with evals, cost/latency tracking, and PII-safe guardrails.

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