Asks for

The ad says“Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling.”
The ad says“Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling.”
The ad says“CI/CD: Experience setting up and maintaining automated deployment pipelines”
The ad says“Realtime analytics (Clickhouse)”
The ad says“Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast”
The ad says“Python (Deep expertise with frameworks like FastAPI, Flask, or Django)”
The ad says“Docker container build”
The ad says“Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast”
The ad says“Writing comprehensive unit, integration, and end-to-end tests”
The ad says“Python (Deep expertise with frameworks like FastAPI, Flask, or Django)”
The ad says“Python (Deep expertise with frameworks like FastAPI, Flask, or Django)”
The ad says“Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling.”
The ad says“Source Control: Expertise in Git and collaborative workflows”
The ad says“Go (Golang) (Experience building robust, high-concurrency microservices)”
The ad says“Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast”
The ad says“Writing comprehensive unit, integration, and end-to-end tests”
The ad says“Keycloak, API authentication, JWT”
The ad says“Keycloak, API authentication, JWT”
The ad says“Kubernetes for deployment and scaling”
The ad says“Linux fundamentals (practical, daily-use)”
The ad says“Relational databases (MySQL) including complex query optimization”
The ad says“Experience with security best practices in API design (e.g., OAuth 2.0, JWT, input validation)”
The ad says“Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast”
The ad says“Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast”
The ad says“Python (Deep expertise with frameworks like FastAPI, Flask, or Django)”
The ad says“NoSQL databases (Redis)”
The ad says“Designing, developing, and deploying RESTful APIs”
The ad says“Writing comprehensive unit, integration, and end-to-end tests”

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)