Senior Backend Engineer ((Python / Go)

• Design, implement, and maintain scalable and reliable backend microservices using Go
• Collaborate with product managers and front-end teams to define API specifications and integration points
• Ensure services are deployed, monitored, and scaled efficiently in a Kubernetes environment
• Participate in code reviews, design discussions, and planning sessions
• Troubleshoot and resolve complex production issues, ensuring high availability and performance
• Drive continuous improvement in development processes, tooling, and infrastructure

Must-have skills for a Senior Backend / Microservices Engineer (owner-level)

Production microservices ownership (not just “worked on”)

• Has owned at least 1–2 services end-to-end (design → build → deploy → on-call → incident fixes → scaling)
• Comfortable with service boundaries, APIs, versioning, backward compatibility, SLAs/SLOs

System design & architecture (senior bar)

• Can design systems with tradeoffs: latency, throughput, cost, reliability
• Patterns: idempotency, retries, timeouts, circuit breakers, async workflows, queues, eventual consistency
• Data design: relational vs NoSQL, caching, indexing, migrations, multi-tenant considerations (if relevant)

Strong debugging & problem-solving in real-world scenarios

• Can take an ambiguous production issue and drive it to resolution
• Uses a structured approach: reproduce → isolate → instrument → hypothesis → validate → fix → prevent

Linux fundamentals (practical, daily-use)

• Confident with commands/tools like: ps/top/htop, journalctl, systemctl, netstat/ss, lsof, curl, grep/sed/awk, strace (bonus), log parsing
• Understands networking basics (DNS, TLS, ports, timeouts)

Docker + container runtime competence

• Can explain Dockerfiles, layers, multi-stage builds, image size/security
• Debug containers: env vars, volumes, entrypoints, networking, resource limits

Observability / logging / diagnostics

• Strong in structured logging, correlation IDs, trace context
• Metrics + tracing + logs as a system
• Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast

Platform maturity

• CI/CD, release processes, rollback strategies
• Basic security and reliability hygiene (secrets mgmt, least privilege, rate limiting)

$140,000 – $200,000 USD per year (depending on experience and qualifications)

• 401(k) retirement plan
• Health, dental, and vision insurance
• Paid time off (PTO) and company holidays
• Flexible work arrangements
• Professional development and training support
• Performance-based bonuses (if applicable)