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Golang Engineer - High-load oRTB Systems

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Remote- full time- Posted August 3, 2026- via djinni.co

You will be redirected to djinni.co to apply.

Requirements

  • 3+ years of professional experience with Go, including building and operating high-load backend systems
  • Strong Linux experience (Debian / Ubuntu)
  • Solid practical knowledge of Docker and container orchestration (Kubernetes, Docker Swarm)
  • Hands-on experience with PostgreSQL
  • Experience with in-memory data stores (Redis, Aerospike)
  • Proven track record designing and running distributed systems and high-throughput services
  • Experience building microservices (APIs, patterns, background/asynchronous processing)
  • Experience developing REST, GraphQL, and gRPC APIs
  • Solid understanding of KISS, DRY, SOLID principles and common design patterns
  • Practical experience with event-driven architectures
  • Experience with Ansible and CI/CD pipelines (GitLab CI preferred)
  • Experience with monitoring, logging, and performance tuning
  • Fast learner with a strong drive to continuously acquire new knowledge

Nice to Have

  • Experience with ClickHouse
  • Experience designing GraphQL and gRPC APIs
  • Experience with message brokers (RabbitMQ, Apache Kafka, NATS)
  • Scripting experience (Python, Bash)

Responsibilities

  • Design, build, and maintain high-load distributed systems (500k+ RPS) using Go 
  • Own backend features end-to-end - from design and implementation through deployment
  • Analyze performance metrics and identify bottlenecks; continuously tune services for maximum efficiency and reliability
  • Collaborate closely with the team to deliver high-quality features and resolve production issues
  • Conduct thorough code reviews focused on readability, correctness, testability, and performance
  • Define and implement testing strategies (unit, integration, and performance testing)
  • Stay current with relevant technologies (including big-data processing) and make informed decisions on technology adoption
  • Play a critical role in a fast-growing product’s development and delivery processes

Tech Stack

  • Infrastructure: On-premise - Docker, Swarm, Kubernetes
  • Languages: Go
  • Databases & Storage: PostgreSQL, Redis, ClickHouse, Aerospike, MongoDB, S3 (MinIO)
  • Monitoring: Prometheus, Loki, Grafana
  • CI/CD & Automation: GitLab CI, Ansible
  • Web / Edge: nginx, Traefik, Cloudflare

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