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
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7+ years of professional experience in backend software development, with a significant focus on building and operating microservices in a production environment.
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Proven ability to work with and contribute to large-scale, distributed systems.
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Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling.
Desired Qualifications
Process & Tools
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CI/CD: Experience setting up and maintaining automated deployment pipelines
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Observability: Proficiency with monitoring and logging tools
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Source Control: Expertise in Git and collaborative workflows
Architecture & Design
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Familiarity with event-driven architectures and streaming data processing
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Experience with security best practices in API design (e.g., OAuth 2.0, JWT, input validation)
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Knowledge of performance tuning and optimization techniques for both Python and Go applications
Key Responsibilities
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Design, implement, and maintain scalable and reliable backend microservices using Go
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Collaborate with product managers and front-end teams to define API specifications and integration points
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Ensure services are deployed, monitored, and scaled efficiently in a Kubernetes environment
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Participate in code reviews, design discussions, and planning sessions
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Troubleshoot and resolve complex production issues, ensuring high availability and performance
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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”)
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Has owned at least 1–2 services end-to-end (design → build → deploy → on-call → incident fixes → scaling)
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Comfortable with service boundaries, APIs, versioning, backward compatibility, SLAs/SLOs
System design & architecture (senior bar)
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Can design systems with tradeoffs: latency, throughput, cost, reliability
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Patterns: idempotency, retries, timeouts, circuit breakers, async workflows, queues, eventual consistency
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Data design: relational vs NoSQL, caching, indexing, migrations, multi-tenant considerations (if relevant)
Strong debugging & problem-solving in real-world scenarios
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Can take an ambiguous production issue and drive it to resolution
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Uses a structured approach: reproduce → isolate → instrument → hypothesis → validate → fix → prevent
Linux fundamentals (practical, daily-use)
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Confident with commands/tools like: ps/top/htop, journalctl, systemctl, netstat/ss, lsof, curl, grep/sed/awk, strace (bonus), log parsing
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Understands networking basics (DNS, TLS, ports, timeouts)
Docker + container runtime competence
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Can explain Dockerfiles, layers, multi-stage builds, image size/security
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Debug containers: env vars, volumes, entrypoints, networking, resource limits
Observability / logging / diagnostics
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Strong in structured logging, correlation IDs, trace context
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Metrics + tracing + logs as a system
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Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast
Platform maturity
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CI/CD, release processes, rollback strategies
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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
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401(k) retirement plan
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Health, dental, and vision insurance
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Paid time off (PTO) and company holidays
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Flexible work arrangements
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Professional development and training support
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Performance-based bonuses (if applicable)
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