Site Reliability Engineer - JL6

Infosys; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Infosys Limited in Bangalore seeks a Site Reliability Engineer (JL6) with 11–20 years of experience to design, build and operate large-scale distributed systems across cloud environments. You will implement automated incident response, performance tuning and scalable architectures while collaborating across teams and platforms.

The role emphasizes integration of GenAI and AIOps tools, telemetry-based monitoring, and a strong OO programming background using Python, Ruby or GoLang.

Qualifications

• Bachelor of Engineering degree.
• 11–20 years of experience in SRE/DevOps or related field.
• Proficiency in Python, Ruby or GoLang and OO programming.
• Experience integrating GenAI and AIOps tools.
• Experience with cloud platforms (AWS, Azure, GCP).

Responsibilities

• Design and implement lifecycle of services from conception to inception.
• Develop software to operability of large-scale distributed systems.
• Manage capacity and performance across public and private clouds.
• Define and implement standards for system architecture and deployment.
• Support services through monitoring, health, and incident response.
• Improve performance and automation through code and processes.
• Integrate GenAI/AIOps tools to automate incident detection and resolution.
• Develop AI/ML driven monitoring using telemetry data.

Skills

Python

Ruby

GoLang

Object Oriented Programming

Education

Bachelor of Engineering

Tools

AWS Bedrock

Azure OpenAI

GCP Vertex AI

Moogsoft

Datadog

Job description

BANGALORE, Infosys Limited Site Reliability Engineer - JL6

Job ID/Reference Code INFSYS-INDEED1-254694

Work Experience 11 - 20 Years

Job Title Site Reliability Engineer - JL6

Educational Requirements Bachelor of Engineering

Service Line Quality

Roles and 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.

Preferred Skills

Technology->DevOps->Site Reliability Engineering(SRE)