Deloitte Hiring SRE DevOps in Hyderabad/Bengaluru/Pune - Cloud, Kubernetes, Automation

Deloitte
Hyderabad
Posted February 22, 2026
full-timeMid LevelFeatured

Deloitte's AI & Engineering team leverages cutting-edge engineering capabilities to build, deploy, and operate integrated sector solutions in software, data, AI, network, and hybrid cloud infrastructure. Join this team to help transform technology platforms, driving innovation and making a significant impact on clients' achievements.

As an SRE DevOps Consultant at Deloitte Consulting, you will be responsible for delivering high-quality work products within due timelines. You will mentor junior team members and liaise with onshore/offshore teams to understand functional requirements.

Key Responsibilities:

- Design SRE architecture considering high availability, DR environments, deployment strategies, auto-scaling, and load/traffic management

- Scale distributed systems in public, private, or hybrid cloud environments

- Manage Cloud Services, Monitoring, Alerting, and Handle Escalations

- Implement Container Orchestration with Kubernetes, Helm Charts, and Docker

- Apply SRE principles including error budgets, SLOs, and SLAs

- Handle incident, change, and problem management processes

- Detect and resolve application-level incidents (crashes, slow response times)

- Collaborate with development teams to address defects and improve code quality

- Automate repetitive tasks (toil) related to application operations

- Conduct root cause analysis (RCA) for application failures

- Implement and test new releases to ensure stability and reliability

- Build and operate large-scale observability platforms (ELK, Prometheus)

- Lead and manage day-to-day operations of business applications and platforms

- Work with streaming data infrastructure services like Kafka and Spark

Requirements*

Required Skills:

- Minimum 4+ years of experience in SRE, Cloud platforms, or DevOps with large-scale microservices in production environments

- Hands-on experience with scaling distributed systems in public, private, or hybrid cloud environments

- Experience with automated configuration tools like Ansible and Terraform

- Strong expertise in Container Orchestration including Kubernetes, Helm Charts, and Docker

- Strong understanding of SRE principles (error budgets, SLOs, SLAs)

- Proficiency in incident, change, and problem management processes

- Proficiency in one programming language: Python, Go, Perl, or Ruby

- Expertise in building and operating large-scale observability platforms (ELK, Prometheus)

Preferred Skills:

- Experience designing and building reliable systems capable of handling high throughput and low latency

- Experience with observability and monitoring systems (Dynatrace, Kibana, Datadog)

- Experience with AWS, GCP, Azure, or other cloud environments

- Familiarity with working in rapid growth environments

Education:

BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university

Note

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