Senior Team Lead | Engineering, AI & Data - Engineering | Site Reliability Engineering

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft

Bengaluru

On-site

INR 2,000,000 - 3,000,000

Full time

10 days ago

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Job summary

Deloitte Touche Tohmatsu India LLP is seeking a Senior Site Reliability Engineer to own reliability and automation for mission-critical systems on GCP. You will focus on observability, incident response, and scalable infrastructure in a 24x7 on-call environment.

The role requires deep experience with Kubernetes, Terraform, CI/CD, and monitoring tools, along with strong debugging across distributed systems. Banking services experience is a plus and curiosity is valued.

Qualifications

Experience as a Site Reliability Engineer / DevOps with 4–8 years in production-grade systems.
Exposure to banking/financial domain a plus.
Strong knowledge of cloud-native architectures and Linux fundamentals.

Responsibilities

Own end-to-end production systems reliability, availability, scalability, cost and performance.
Participate in 24x7 on-call rotations and manage incidents with runbooks and post-incident reviews.
Design, deploy and manage infrastructure on Google Cloud Platform (GCP) including GKE, IAM, networking, and load balancers.
Develop automation to reduce toil and improve CI/CD, monitoring and observability.

Skills

SRE

DevOps

Cloud Engineering

On-call rotations

Incident management

Automation

Observability

Troubleshooting

Networking basics

Java/Golang

Education

Bachelor's degree

Master's degree

Tools

Kubernetes

GKE

Terraform

Jenkins

GitHub

Dynatrace

Grafana

BigQuery

Job description

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Job Title: Senior Team Lead | Engineering, AI & Data - Engineering | Site Reliability Engineering

Senior Team Lead | Engineering, AI & Data - Engineering | Site Reliability Engineering
Job requisition ID : 108935
Location: Bengaluru
Entity: Deloitte Touche Tohmatsu India LLP

Senior Team Lead |Engineering, AI & Data -Engineering |Site Reliability Engineering

The team

Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.

Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth.Learn more about Engineering, AI and Data

We are looking for a highly skilled Site Reliability Engineer (SRE) to manage and scale mission-critical, production-grade distributed systems running on Google Cloud Platform (GCP). 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, programming in one language 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.

Reliability & Operations

Own end-to-end production systems reliability, availability, scalability, cost and performance.
Drive measurable improvements in MTTR, MTTA, and incident response practices using automation and runbook additions and process enhancements.
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.
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).

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.
Education: Any bachelor’s or master’s degree
4–8 years of relevant and progressive experience in SRE / DevOps / Cloud Engineering
Hands-on experience managing production-grade systems (24x7 environments)
Exposure to banking/financial domain (optional but valuable)
Understanding of security and compliance practices
Experience with deployment strategies:
Canary, Blue Green

Technical Skills

Strong expertise in Google Cloud Platform (GCP): GKE, VPC, IAM, Load Balancing, LB, Certs, KMS, logs and metrics exploration, BigQuery, Pub/Sub
Good understanding of cloud architecture and landing zones

Infrastructure as Code