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)