Senior Backend Engineer

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)