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Site Reliability Engineer

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Experience: 8-12 Years
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Bangalore

Capabilities

  • Hands on experience on AWS, with extensive experience in containerization using Docker and container orchestration using Kubernetes.
  • Experience in setting up DevTest (pre-production and production) environments.
  • Experience working with the following tech stack - AWS, Kubernetes, Docker, Chef/Ansible/Packer, Bash Python, GitHub, Heka/Datadog agents, PagerDuty/VictorOps/OpsGenie, OpenTSB, Grafana/Datadog, Nagios, Sumologic, HBase, Scala.
  • Very high problem solving ability, able to handle work under pressure, strong written and verbal communication skills. Solid understanding of systems, data structures, modern scripting and passion for enterprise level languages and open source tools.

Qualifications

Bachelor of Engineering, Bachelor Computer Science or Master Degree

Skills

SRE / DevOps

Your Team

You will work with a top-tier organization that's been in the game for 50 years, partnering with some of the world's biggest businesses. As India's largest multinational business group, they boast a workforce of over 500,000 highly skilled consultants spread across 46+ countries. Beyond that, they're at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. Their commitment to excellence reverberates in everything they do.

Your Job

  • As a Software Engineer on the Site Reliability Engineering team, you will develop software and tools to empower Client's product development teams to maintain software releases quickly and smoothly.
  • You will collaborate with a wide range of internal partners to engineer automated solutions to remove toil and enhance stability for a variety of infrastructures, with an emphasis on scalability.
  • You will face challenges that require an engineering mindset and a desire to automate everything possible.
  • 5+ years of experience in SRE / DevOps-related roles, supporting large-scale SaaS environments. Strong experience with AWS or an equivalent cloud platform.
  • Proficiency in automation and coding with Python.