Systems Engineer

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.
• 3-6 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