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)