Site Reliability Engineer

Key responsibilities

• Operations experience in supporting highly scalable systems.

• Ability to operate in a 24x7 environment encompassing global time zones

• Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort is desired

• Kubernetes: Design, deploy, and manage Kubernetes clusters in production, optimizing for performance and reliability.

• Cloud Infrastructure: Build and maintain scalable infrastructure on GCP (or other cloud providers), leveraging automation tools like Terraform.

• Performance Engineering:

• Identify and analyze performance bottlenecks in applications and infrastructure.

• Develop and implement performance optimizations.

• Observability: Implement comprehensive monitoring and logging solutions to proactively detect and resolve issues.

• Incident Response: Participate in on-call rotations, troubleshooting and resolving production incidents with a focus on minimizing downtime.

• Collaboration: Work closely with product development teams to promote reliability best practices and ensure smooth deployments.

• Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures.

• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).

• Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.

• Build automated tooling to deploy service request to push a change into production

• Solve problems and triage complex distributed architecture service map.

• Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.

• Lead availability blameless postmortem and own the call to action to remediate recurrences.

• On call for high severity application incidents and improving run books to improve MTTR

• Participate in a team of first responders 24/7, follow the sun operating model for incident and problem management.

• Effectively communicate to technical peers and team members in both written and verbal formats.

What experience you need

• Bachelor degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required

• 5-7years of experience working with containers (Docker, Kubernetes).

• 5-7 years of experience working with public cloud environments ( GCP preferred)

• Strong  system administration skills, including automation and orchestration on Linux.

• Strong Kubernetes knowledge and hands-on production administration skills.

• Programming experience in one or more languages such as Python, Bash, Java, Go, Groovy or similar languages.

• Proficient in Identifying and analyzing performance bottlenecks in applications and infrastructure

• Proficiency with continuous integration and continuous delivery (CI/CD) using tools like Jenkins, Git.

• 5-7 years of experience monitoring infrastructure and application performance.

• Solid understanding of application design principles and trade-offs.

• Knowledge of network infrastructure and security basics (DNS, subnets, firewalls, load balancers).