Site Reliability Engineer-II

• Build CICD stack collaborating across Dev and QA/Automation team and drive organization to new level of (daily/hourly) continuous delivery and deployment.
• Security is paramount to everything we do, you will work closely with CISO, Dev team(s) and make security as first class citizens. Develop S-CICD (Secure CICD), enable various security tool chains and vulnerability reports to developers via automation.
• Observability is very critical for the scale of our systems and ability to find insights/behavior, detect problem/failures. Looking for leads to drive this charter spanning across logs, metrics, mesh, tracing etc
• Collaborate closely with Dev and QA team to bring given initiative to a closer, increase adoption of DevOps practices and tool chain.
• Apply strong analytical skills to understand production system metrics, drive change, optimize system utilization and drive cost efficiency.
• Auto scale/down the platform during peak season scenarios.
• Ensure that the Platform is secured as per guidelines established by CISO. eg, Secure against DDoS attacks by implementing WAF, Vulnerability and Patch management, install required security agents etc
• Lead least privilege based RBAC for various production services and tool chains.
• Build and execute Disaster Recovery plan.
• Key stakeholder to participate incase of IR (Incident Response).

What You Need

• 3+ years experience as a DevOps/SRE Engineer.
• Solid experience with at least one of the clouds with automation focus - AWS, Azure, GCP . Certification has advantages.
• Hands-on experience with Kubernetes along with Linux.
• Programming experience with scripting languages eg Python.
• Build and deployment experience building scalable CICD architectures and solutions is preferred.
• Building observability stack from logs, metrics, traces, service mesh, data observability is preferred.
• Good at documenting and structuring documents for consumption by various dev teams.
• Cloud Security is a major advantage and highly preferred skill.
• Hands-on experience with a few of these - Kafka, Postgre, Snowflake etc is preferred.

Preferred Skills:

• Multi Cloud: AWS, Azure, GCP
• Distributed Compute: Kubernetes (EKS/AKS), Containerization
• Persistence stores Postgres, MongoDB
• Data Warehousing Snowflake, Data Bricks
• Messaging Kafka
• CICD Jenkins, ArgoCD, GitOps
• Observability Elasticsearch, Prometheus, Jaeger, NewRelic etc