- Responsibility for delivering on identifying, creating, and maintaining SLA's.

- Design, build and support automation and monitoring that improve system reliability

- Partner with R&D; and Operations teams to enhance telemetry and reliability

- Support services before they go live through system design consulting and launch reviews

- Maintain live services by measuring & monitoring availability, latency & overall system health

- Create monitoring to detect symptoms and pre-empt outages

- Debug production issues across services and levels of the stack

- Report problems and participate in related root cause analysis or incident Post Mortems

- Provide analysis of poor performance and instabilities identified in systems.

Experience & Skills :

- Container orchestration technologies like Docker

- Virtualization platforms, either on-prem or cloud-based (We use AWS)

- Understands Infrastructure as a code (Puppet, Ansible and Terraform) and containerization toolsets (Docker).

- Data-intensive applications and platforms like Kafka, Hadoop, Spark, Zookeeper, Cassandra, PostgreSQL OLAP, Druid

- Relational databases like MySQL, Oracle, PostgreSQL etc

- NoSQL databases like Redis, MongoDB, Cassandra, CouchDB etc

- One or more CI tools like Jenkins, Teamcity

- Centralized logging systems, metrics, and tooling frameworks such as ELK,



Prometheus, and Grafana.

- Web and Application servers like Apache, Nginx, Tomcat

- Versioning tools such as git.

- Ability to work independently and own problem statements end-to-end. - Outstanding communication, interpersonal and teamwork skills. - Adaptable to work in a fast-paced environment and alter priorities as per business needs

Qualifications :

- B.Tech/M.Tech or Equivalent in Computer Science, Information Technology or a related field

- 4-7 years of experience in handling services in a large-scale distributed system.

- Deep understanding of network stack (e.g. TCP/IP, routing, network topologies and hardware, SDN, etc)

- Deep understanding of modern software architectures, including load-balancing queueing, caching, distributed systems failure modes generally, microservices and big data technologies.

- Excellent programming (Asp.net, Node.js, Python, Go, Ruby or preferred scripting languages) and automation skills -

- AWS certification will give you an added advantage

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📌 Site Reliability Engineer (India)
🏢 DronaHQ
📍 India