Site Reliability Engineer

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading IT services firm is seeking a Mid-Senior level Site Reliability Engineer in Bengaluru. You will design and implement services, develop software for large-scale distributed systems, and integrate AI-driven solutions. The ideal candidate has experience in high-level programming languages and a strong focus on automation and operational excellence. This full-time position offers a dynamic environment leveraging innovative technologies for efficient incident handling and system performance.

Qualifications

• Experience in designing and implementing systems for high scalability.
• Proven skills in troubleshooting production systems.
• Strong background in developing machine learning models.

Responsibilities

• Design and implement service lifecycles from conception to inception.
• Develop software solutions for large-scale distributed systems.
• Monitor systems to ensure high availability.

Skills

System design

Software development

Capacity management

Incident response

Automation and process refinement

Generative AI integration

Prompt engineering

Machine learning

High-level programming languages (Python, Ruby, GoLang)

Tools

AWS Bedrock

Azure OpenAI

GCP Vertex AI

AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk)

Job description

Key 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, and 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
• Troubleshoot and monitor 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, Ruby, or GoLang and familiarity with object‑oriented programming

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

Location

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