Senior Backend Engineer (Python / Go)

Senior Backend Engineer (Python / Go) Overview We are seeking a skilled and passionate Senior Backend Engineer to join our team, focusing on the design, development, and maintenance of high-performance, scalable microservices. The ideal candidate will have strong expertise in Go (Golang), and a deep understanding of distributed systems architecture. Essential Qualifications Technical Skills Skill Category Requirement Proficiency Level Programming Languages Python (Deep expertise with frameworks like FastAPI, Flask, or Django) Advanced Programming Languages Go (Golang) (Experience building robust, high-concurrency microservices) Expert Microservices / Architecture Designing, developing, and deploying RESTful APIs Expert Security Keycloak, API authentication, JWT Advanced Databases Realtime analytics (Clickhouse) Advanced Databases Relational databases (MySQL) including complex query optimization Advanced Databases NoSQL databases (Redis) Advanced Containerization / Orchestration Kubernetes for deployment and scaling Advanced Containerization / Orchestration Docker container build Advanced Testing Writing comprehensive unit, integration, and end-to-end tests Advanced Core Experience 7+ years of professional experience in backend software development, with a significant focus on building and operating microservices in a production environment. Proven ability to work with and contribute to large-scale, distributed systems. Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling. Desired Qualifications Process & Tools CI/CD: Experience setting up and maintaining automated deployment pipelines Observability: Proficiency with monitoring and logging tools Source Control: Expertise in Git and collaborative workflows Architecture & Design Familiarity with event-driven architectures and streaming data processing Experience with security best practices in API design (e.g., OAuth 2.0, JWT, input validation) Knowledge of performance tuning and optimization techniques for both Python and Go applications Key Responsibilities 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) Compensation Compensation & Benefits $140,000 – $200,000 USD per year (depending on experience and qualifications) Benefits 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)