Site Reliability Engineer - JL5

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Infosys seeks an experienced engineer to design, build, and deploy services for large-scale distributed systems. You will enable operability across multi-cloud environments with a focus on automation, AI-driven monitoring, and fault-resilient architectures.

The role emphasizes GenAI integration, proactive incident response, and advanced observability using Moogsoft, Dynatrace, Splunk, Datadog and Elastic to reduce toil and improve performance.

Qualifications

• Experience in one or more high level programming languages like Python, Ruby or GoLang and familiarity with Object Oriented Programming.

Responsibilities

• Design and implement lifecycle of services from conception to inception, including system design, build, and deployment.
• Develop software solutions for large-scale distributed systems handling millions of transactions and petabytes of data.
• Manage capacity and performance to scale infrastructure across public and private clouds.

Skills

Python/GoLang/Ruby

Education

Bachelor of Engineering

Tools

Moogsoft

Dynatrace

Splunk

BigPanda

Datadog

Elastic

Job description

Roles & Responsibilities

• Design and implement the lifecycle of services from conception to inception, including system design, build, and deployment
• Develop software solutions to enable operability of large-scale distributed systems capable of handling millions of transactions and petabytes of data
• Manage capacity and performance to help scale the infrastructure both on public and private clouds around the world
• Define and implement standards and best practices related to: System Architecture, Deployment, metrics, operational tasks
• Support services through activities such as monitoring availability, system health, and incident response
• Improve system performance, application delivery and efficiency through automation, process refinement, postmortem reviews, and in-depth configuration analysis
• Engage in Communications across all areas of the organization
• Troubleshooting and monitoring production systems to ensure the highest uptimes are maintained
• Support and improve upon existing high-availability architecture solutions as well as manage the operational activity.
• Integrate Generative AI (GenAI) and AIOps tools to automate incident detection, root cause analysis, and resolution workflows (e.g., self-healing scripts, intelligent runbooks), reducing manual toil and accelerating response times.
• Apply Prompt Engineering techniques to enhance interactions with AI-based observability and automation platforms improving accuracy and efficiency of AI responses.
• Leverage platform-specific AI capabilities (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI) to architect intelligent SRE solutions tailored to cloud environments.
• Design, implement, and maintain AI/ML driven monitoring and alerting systems to proactively detect anomalies and predict potential failures, enabling preemptive remediation.
• Develop and train machine learning models using operational telemetry (logs, metrics, events, traces) to support predictive analytics and intelligent automation.
• Evaluate and deploy AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk, BigPanda, Datadog, Elastic) to enhance observability, reduce noise, and accelerate incident resolution.

Experience in one or more high level programming languages like Python or Ruby or GoLang and familiar with Object Oriented Programming.

Educational RequirementBachelor of Engineering

Preferred SkillsTechnology->DevOps->DevOps Architecture Consultancy,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->Devops->Ansible Service LineQuality