About the role
About the job
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that the servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally, SREs will keep an ever-watchful eye on our systems capacity and performance.
As a Site Reliability Engineer, you will have the opportunity to manage the complex challenges of scale which are unique to Digitization, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. You will provide scalable, reliable, durable, and secure applications for our customers and internal users. You will help build highly reliable applications using a customer-first approach while innovating technically. You will understand our customer's needs and how we can meet them.
Responsibilities
Work with the Site Reliability Engineering team, Development team, and other partner teams to ensure that applications reliability, efficiency, and performance meets our customer's needs, while keeping the service's operation's reliable, scalable, and automated.
Develop and implement projects that improve system reliability, efficiency, and performance
Partner with development teams on feature launches to ensure our customers are delivered reliable and scalable functionality.
Build a deep knowledge on production infrastructure and using that to debug distributed systems problems and identify improvements to the system.
Operations, SLO, SLA management
Metrics reporting and progress tracking
Be on-call, responding to and managing incidents.
Observability (Alarms, monitoring, synthetics).
Error management
Qualifications
Bachelor's degree in Computer Science or a related engineering degree
8+ years of IT industry experience
Strong Experience in
Java, Springboot, Nodejs, microservices, RDBMS, NoSQL
AWS EC2, S3, Lambda, IAM, ECS, EKS, SQS, Kinesis
Observability using Splunk, NewRelic
Infrastructure as Code using terraform
APIs and event-driven approaches
Security patterns
Unix/Linux systems administration. Familiar with Docker is a must.
Strong Experience in analysing and troubleshooting large-scale distributed systems. Quick reaction on high severity customer impacts.
Ability to debug and optimize code and automate routine tasks
Knowledge in modern software engineering practices and tools - Agile and DevOps
Strong communication skill and the ability to explain complex technical matters in an easy-to-understand way.
Originally posted on Himalayas