
Reliable System Developer
2 weeks ago
About Us:
We strive to create the most transparent and efficient path for advertiser budgets to become publisher revenue.
Our contextual technology enhances Programmatic buying, a leading industry standard in ad buying for digital platforms.
The platform we power major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search.
Responsibilities (What You'll Do):
Infrastructure Management:
- Oversee and maintain infrastructure that supports applications. This includes load balancers, data stores, CI/CD pipelines, and monitoring stacks.
- Continuously improve infrastructure resilience, scalability, and efficiency to meet demands of massive request volume and stringent latency requirements.
- Develop policies and procedures to improve overall platform stability and participate in shared On-call schedule
Collaboration with Developers:
- Work closely with developers to establish and uphold quality and performance benchmarks, ensuring that applications meet necessary criteria before deployment to production.
- Participate in design reviews and provide feedback on infrastructure-related aspects to improve system performance and reliability.
Building Tools for Infra Management:
- Develop tools to simplify and enhance infrastructure management, automate processes, and improve operational efficiency.
- These tools may address areas such as monitoring, alerting, deployment automation, and failure detection and recovery, critical in minimizing latency and maintaining uptime.
Performance Optimization:
- Focused on reducing latency and maximizing efficiency across all components, from request handling in load balancers to database optimization.
- Implement best practices and tools for performance monitoring, including real-time analysis and response mechanisms.
Requirements:
Who Should Apply:
- B.Tech/M.Tech or equivalent in Computer Science, Information Technology, or related field.
- 2–4 years of experience managing services in large-scale distributed systems.
- Strong understanding of networking concepts (e.g., TCP/IP, routing, SDN) and modern software architectures.
- Proficiency in programming and scripting languages such as Python, Go, or Ruby, with a focus on automation.
- Experience with container orchestration tools like Kubernetes and virtualization platforms (preferably GCP).
- Ability to independently own problem statements, manage priorities, and drive solutions.
Preferred Skills & Tools Expertise:
- Infrastructure as Code: Experience with Terraform.
- Configuration management tools like Nix, Ansible.
- Monitoring and Logging Tools: Expertise with Prometheus, Grafana, or ELK stack.
- OLAP databases: Clickhouse and Apache druid.
- CI/CD Pipelines: Hands-on experience with Jenkins, or ArgoCD.
- Databases: Proficiency in MySQL (relational) or Redis (NoSQL).
- Load Balancers Servers: Familiarity with haproxy or Nginx.
- Strong knowledge of operating systems and networking fundamentals.
- Experience with version control systems such as Git.
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