Senior Consultant | Site Reliability Engineering | Bengaluru | Engineering | Hybrid Cloud Engineerin(109996)

Role Overview

We are looking for a highly skilled Site Reliability Engineer (SRE) to manage and scale mission-critical, production-grade distributed systems running on AWS. The ideal candidate will focus on reliability, automation, observability, and operational excellence while minimizing toil and improving system availability. Maintaining and improving 4 Nines of uptime to 5 Nines with engineering efforts.

This role requires deep technical expertise in cloud-native technologies, Kubernetes, infrastructure automation, Linux administration and TCP/IP fundamentals, and strong troubleshooting capabilities for distributed systems. The candidate needs to participate in the overall lifecycle management of mission critical banking services with a 24x7 operations mode in an rotational on-call basis. The job requires the candidate to have strong troubleshooting skills in a distributed environment spread across multiple cloud environments. The bare minimum ask would be to maintain high level of agility, learnability and adaptability in different scenarios. An engineer with a zeal to learn fast and having a bias for action would be the best fit for the role.

Key Responsibilities

Reliability & Operations

• Own end-to-end production systems reliability, availability, scalability, cost and performance.
• Troubleshooting EKS from SRE perspective
• Route53, Connectivity, Networking, RDS, S3
• Participate in 24x7 on-call rotations and handle high-severity incidents and document the learnings on ongoing basis.
• Establish and manage SLI, SLO, SLA, Error Budgets, and operational metrics for mission critical services and partner with engineering teams with full accountability for upholding the SLOs.
• Partner with the various engineering, operations and cloud management teams to deliver highly reliable service in a timely manner.

Cloud & Infrastructure

• Design, deploy, and manage infrastructure on Google Cloud Platform (GCP).
• Work extensively on:
• GKE (Kubernetes Engine)
• Compute, networking, IAM, Load Balancers, TLS Certs
• BigQuery, Pub/Sub, cloud logging enhancement, metrics and logs analysis
• Implement and manage infrastructure using Terraform (Infrastructure as Code).

Kubernetes & Containers

• Deploy and manage containerized workloads using Kubernetes (GKE).
• Troubleshoot issues related to:
• Pods, nodes, networking, storage, services on an ongoing basis
• Manage deployments using Helm, YAML, and rollout strategies (Canary/Blue-Green).

Automation & CI/CD

• Build and maintain CI/CD pipelines using:
• Jenkins (pipeline-based, Groovy / Shell / Python scripting)
• Strong experience in using GitHub as a PowerUser
• Develop automation using Python and Shell scripting.
• Reduce operational toil through automation initiatives.

Observability & Monitoring

• Implement and manage monitoring systems using:
• Dynatrace, Grafana, logs and metrics explorer
• Work with logs, metrics, and traces for deep observability to identify trends and arrest problems proactively.
• Define alerting strategies based on system behaviour and SLOs and create runbooks.
• Work alongside operations teams to identify, fix the production incidents and own the problem resolution.
• Work with engineering teams to isolate infra and application issues and set up right tooling for debugging production incidents.

System & Application Troubleshooting

• Perform deep troubleshooting for:
• Distributed systems
• Microservices-based architectures on containerised workloads
• Java and Golang applications
• Strong debugging of:
• Application issues
• Infrastructure issues
• Network-related problems

Plan and execute continuous improvement

• Identify and eliminate repetitive manual tasks.
• Drive reliability engineering practices and culture. (DRY – Don’t Repeat Yourself)
• Collaborate with development teams to improve system design and resilience.

Job Requirements

• 3–5 years of relevant and progressive experience in SRE / DevOps / Cloud Engineering
• Hands-on experience managing production-grade systems (24x7 environments)

Technical Skills

• Troubleshooting EKS from SRE perspective
• Route53, Connectivity, Networking, RDS, S3

Infrastructure as Code

• Strong hands-on experience with Terraform
• Ability to write and debug Terraform code from scratch

Containers & Orchestration

• Deep expertise in:
• Kubernetes (GKE)
• Docker
• Strong troubleshooting experience in Kubernetes environments

CI/CD & Automation

• Hands-on experience with:
• Jenkins (pipeline-based CI/CD)
• GitHub
• Strong scripting skills:
• Python (preferred)
• Shell scripting
• Experience with automation frameworks and tooling

Observability

• Experience with:
• Dynatrace / Grafana
• Log, metrics, and trace-based monitoring

Programming & Debugging

• Working knowledge of:
• Java and/or Golang applications
• Strong debugging skills across application and infrastructure layers

Linux & Networking

• Strong Linux fundamentals
• Deep understanding of TCP/IP networking
• Ability to debug network issues in distributed systems

Reliability Engineering Skills

• Solid understanding of:
• SLI, SLO, SLA, Error Budgets
• Demonstrable and Proven Experience improving:
• MTTR, MTTA
• Experience handling incident management lifecycle

Soft Skills

• Strong analytical and troubleshooting mindset
• Excellent communication and stakeholder management
• Ability to work in high-pressure production environments
• Ownership-driven and proactive approach

Preferred Qualifications

• Experience in high-scale distributed systems
• Exposure to banking/financial domain (optional but valuable)
• Understanding of security and compliance practices
• Experience with deployment strategies:
• Canary, Blue-Green

Ideal Candidate Profile in summary would be like 

• Strong AWS + Kubernetes + Terraform core
• Hands-on production troubleshooting expert
• Good at automation + reducing toil
• Deep understanding of SRE principles
• Comfortable in 24x7 production environments