Production Support

Mphasis; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Mphasis in Hyderabad is seeking an Application SRE / Production Support Engineer with 5–12 years of experience in managing large-scale, distributed systems. The role focuses on delivering reliable production services, operating in a 24x7 environment, and driving improvements across IT systems.

You will lead end-to-end production reliability, deploy via CI/CD pipelines (GitHub Actions), and handle complex incidents across multi-datacenter architectures.

Qualifications

• 5–12 years of production support for large-scale, distributed systems.
• Experience with Kubernetes/pods, load balancers, databases and middleware.
• Incident management, RCA and post-change reviews to boost availability.
• CI/CD deployments, GitHub Actions, Blue-Green/Canary strategies.
• Plan and execute production changes, including DR and patch cycles.
• Linux server administration and cloud ops; PCF and GCP exposure preferred.
• SRE: SLIs/SLOs/SLAs, error budgets and alerting.
• Observability: metrics, logs, traces; dashboards and APM.
• AI-assisted operations and anomaly detection is a plus.

Skills

Production Support

SRE

Distributed Systems

Kubernetes

CI/CD

Incident Response

Linux

Cloud

Observability

Tools

Kubernetes

GitHub Actions

Blue-Green Deployment

Canary Deployments

Job description

Dear,

We are hiring for Application SRE / Production Support Engineer positions for our Hyderabad location.

Position Details

• Role: Application SRE / Production Support Engineer
• Experience: 5 to 12 Years
• Location: Hyderabad
• Interview Mode: Face-to-Face Drive on 14-Nov-2026
• Notice Period: Immediate Joiners to 30 Days Only (Strictly)
• Work Model: 5 Days Work from Office

Mandatory Requirements

• 24x7 Production Support experience
• Willingness to work from Mphasis Office (ODC)
• No Hybrid Model
• No Work From Home Option
• Comfortable working in rotational shifts:
• 6:30 AM to 3:30 PM
• 2:00 PM to 11:00 PM
• 10:00 PM to 6:00 AM

Important Note

Only candidates who are:

• Available for the Face-to-Face interview on 14-Nov-2026
• Immediate joiners or serving a notice period of up to 30 days
• Willing to work from the Hyderabad office on all 5 working days

should apply.

Job Requirements

• Large-Scale Distributed Systems: Strong experience supporting highly distributed, high-availability systems spanning multi-datacenter architectures, Kubernetes/Pods, load balancers, databases, middleware, messaging platforms and batch processing, with the ability to isolate and troubleshoot failures across interconnected components.
• End-to-End Production Reliability & Troubleshooting: Extensive hands-on experience supporting business-critical applications across application, infrastructure, middleware, databases, messaging platforms, APIs and batch workloads, including health/performance monitoring, alert triage, incident management and end-to-end troubleshooting across complex production environments.
• Incident, Problem & Reliability Management: Proven experience handling critical production incidents and TechLines, performing deep-dive RCA, identifying systemic and recurring failures, and implementing permanent corrective actions to improve availability, MTTD and MTTR while reducing operational toil.
• Deployment & Release Engineering: Extensive hands-on experience executing production deployments through CI/CD pipelines, preferably GitHub Actions, using Blue-Green and Canary deployment strategies, including deployment validation, failure troubleshooting, rollback/recovery, and minimizing service disruption.
• Change & Resilience Management: Hands-on experience planning and executing critical production changes, including Disaster Recovery (DR), security patching, certificate renewals, password/credential rotations, application/infrastructure failovers and resiliency exercises, including pre/post-change validation and recovery.
• Linux & Cloud Operations: Strong hands-on expertise in Linux server administration, infrastructure troubleshooting, and cloud/platform operations. Experience with Pivotal Cloud Foundry (PCF) and Google Cloud Platform (GCP) is preferred.
• SRE Practices: Strong understanding and practical application of SLIs, SLOs, SLAs, Error Budgets, Burn Rate Alerts and SRE KPIs, with a strong focus on service availability, reliability and operational efficiency.
• Observability & APM: Extensive hands-on experience building and operating end-to-end observability across MELT (Metrics, Events, Logs and Traces) using APM, monitoring, logging and distributed tracing tools, including dashboards, alerting, performance analysis and proactive issue detection.
• AI-Assisted Operations & AIOps: Experience leveraging AI/Generative AI for operational monitoring, troubleshooting, log analysis, incident investigation and automation. Hands-on AIOps experience involving event correlation, alert noise reduction, anomaly detection, predictive analytics and intelligent incident management is preferred.
• High-Volume Transaction Systems: Experience supporting high-throughput, high-availability transaction processing platforms, preferably business-critical financial, payment, authentication/login or similar systems, with a strong focus on performance, resilience and availability.
• Operational Readiness & Production Ownership: Strong production ownership mindset with experience in health checks, release readiness, deployment validation, capacity planning, DR preparedness and operational reviews, with the ability to drive issues through diagnosis, recovery and permanent resolution.
• Work Model: Must be willing to work in a 247 rotational shift environment and work from office 5 days a week.
• Strong communication skills, both verbal and written, to effectively interact with technical and non-technical stakeholders.