Site Reliability Engineer (SRE) with MLOPS and GPU support

Mphasis; Hyderabad; Ibrido; INR 3.500.000 - 5.500.000; Tempo pieno

Descrizione del lavoro

Mphasis is seeking a Site Reliability Engineer for AI/ML Platform Operations (GCP & GPU) in Hyderabad. The role requires 6+ years of Production Support experience with hands-on GCP and GPU infrastructure management, and strong SRE process knowledge.

You will support AI/ML workloads, leverage Linux environments, and collaborate across teams to ensure service stability, incident response, and continuous improvement in a hybrid work setup.

Competenze

• Must have 8+ years of Production Support experience.
• Experience implementing SRE processes in support teams.
• Experience supporting applications using Python stack.
• Knowledge of data center, network, storage and compute domains.
• Hands-on experience in configuring, managing, and optimizing GPU-based infrastructure for AI/ML workloads.
• Experience with AI/ML platforms and GenAI tools.

Mansioni

• Provide on-call production support for mission critical apps and resolve issues within RTO.
• Triage incidents, conduct root cause analyses and drive fixes.
• Manage deployments, changes, and validation processes.
• Monitor systems and drive performance improvements.
• Collaborate with multiple support teams and stakeholders.
• Develop automated solutions for daily production tasks.

Conoscenze

Production support

SRE

Python scripting

Communication

Problem solving

Strumenti

GCP

GPU infrastructure

Linux/Unix

Splunk

AppDynamics

Hadoop

Spark

ElasticSearch

Python

Shell scripting

Descrizione del lavoro

Site Reliability Engineer (SRE) AI/ML Platform Operations (GCP & GPU)

Hybrid

Hyderabad

Exp: 6+ years

Mandate Skills:

Production Support Engineering, SRE, GCP, AI/ML Platform Operations (MLOPS), GPU GPU support

Job Details:

Responsible for support functions and driving the execution of multiple Application/Platform support services including incident triage, root cause analysis, change evaluation-execution-validation, deployment management, BCP and risk & vulnerability management, patching, monitoring.

Provides on-call production support of Mission Critical applications and resolve issues within RTO.

Leverage diagnostic tools to maintain, troubleshoot and restore service or data to systems

Bring in engineering, operational management in various domains like AI & Cloud

Leverage AI-enabled applications, tools, Large Language Models (LLMs), Generative AI, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures

Champion continuous improvement to drive stability and operational excellence

Work with SRE mindset. Building Automated solutions for daily redundant production support activities.

Ability to understand and escal... issues efficiently and appropriately. Identify system bottlenecks and opportunities for process improvements

Communicate, co-ordinate and collaborate with multiple support teams and stakeholders

Required Qualifications:

Must have 8+ Years of Production Support experience

Proven experience implementing SRE processes in support teams

Experience supporting applications using Python stack

Knowledge and understanding of technology infrastructure: data center, network, storage, and compute domains.

Hands on experience on GCP with certification

hands-on experience in configuring, managing, and optimizing GPU-based infrastructure and environments for AI/ML workloads.

Proven expertise in diagnosing and resolving capacity, performance, and scalability issues associated with AI and machine learning workloads.

Strong experience troubleshooting, supporting, and resolving production issues in Generative AI (GenAI) applications and services.

Knowledge/experience of Python/Shell scripting.

Knowledge/ experience supporting Data Science/AI/ML platforms

Strong user/admin experience with Linux/Unix command line.

Exposure supporting with big data technologies such as Hadoop, Spark, elastic search etc

Strong experience with monitoring systems such as Splunk, App Dynamics.

Candidate should have experience in serving as a liaison between technology infrastructure operations and business projects.

Excellent verbal and written communication skills.

Exceptional problem solving and analytical skills.

Willing to work in shifts (24x7 models)