sre with production support

Site reliability engineer - Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Production Support SRE Engineer with AI/ML

Hybrid (3 days from Office)

Years of exp: 8+ yrs

Mandate skills: Production Support, Site Reliability Engineering (SRE), hands on AI Infra setup and maintenance exposure with both OnPrem (GPU) and Cloud.

Job Details:

Primary: Production Support Engineering, Site Reliability Engineering (SRE), GCP, AI/ML Platform

Secondary skills: Python, Linux/Unix, GPU Infrastructure, GenAI Support, Splunk, AppDynamics, Hadoop/Spark, Automation Engineering

Responsibilities:

• 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 escalate issues efficiently and appropriately. Identify system bottlenecks and opportunities for process improvements
• Communicate, co-ordinate and collaborate with multiple support teams and stakeholders

Job Description

Role: Site Reliability Engineer (SRE)

Experience: 8+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Key Responsibilities

• Implement reliability practices across applications and cloud platforms.
• Monitor and troubleshoot production systems using observability tools.
• Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
• Develop and maintain CI/CD pipelines and automate operational tasks.
• Improve system availability, performance, scalability, and operational stability.
• Develop proof-of-concepts and convert them into production-ready solutions.
• Collaborate with engineering teams to improve reliability and reduce operational toil.
• Use AI tools responsibly to enhance operational efficiency and productivity.

Required Skills

• Strong SRE fundamentals and production support experience.
• Hands-on experience with AWS cloud services and best practices.
• Observability tools: Splunk, Grafana, and Datadog.
• Understanding of metrics, logs/events, and distributed tracing.
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
• CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
• Scripting and automation skills are preferred.
• Experience in incident management, troubleshooting, and RCA documentation.
• Cloud certification or experience supporting cloud-based applications.
• Familiarity with AI concepts and responsible AI tool usage.

Role Overview

We are looking for an experienced **Site Reliability Engineer (SRE) / Production Support Engineer** with strong expertise in application/production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The candidate will be responsible for ensuring the **availability, reliability, and performance of production applications**, troubleshooting critical issues, monitoring systems, and supporting production deployments.

#### Key Responsibilities & Skills

- Strong experience in **Application / Production Support**.

- Hands-on experience in **Production Issue Handling and Incident Management**.

- Experience in **Batch Monitoring** and production monitoring activities.

- Good understanding of **Network, Load Balancing, and Database-related issues**.

- Strong understanding of **SLI, SLO, Error Budget, and Burn Rate concepts**.

- Hands-on experience with **Splunk queries and dashboard creation/monitoring**.

- Experience with **APM (Application Performance Monitoring) tools**.

- Experience supporting **Production Deployments**, including **Blue-Green and Canary deployments**.

- Good knowledge of **Cloud Operations**.

- Hands-on experience with **Docker, Kubernetes, and Terraform/IaC**.

- Strong knowledge of **Linux/Windows administration and shell scripting**.

- Experience with **Windows administration and scripting**.

- Knowledge of **Python scripting/automation**.

- Exposure to **GenAI tools such as GitHub Copilot, Claude, or similar tools** for day-to-day operational activities.

- Strong troubleshooting, problem-solving, and incident-resolution skills.

Shift Timings

The role involves rotational shifts:

We are looking for an SRE with DevOps expertise to maintain production system reliability, availability, and performance through automation, monitoring, and efficient incident management.

Responsibilities

• Monitor production systems and troubleshoot incidents.
• Manage Linux/Unix servers and cloud infrastructure.
• Develop and maintain CI/CD pipelines.
• Automate operational tasks using scripting.
• Manage infrastructure using Terraform or Ansible.
• Work with Docker and Kubernetes.
• Perform root cause analysis (RCA) and improve system reliability.

Required Skills

• SRE and DevOps experience.
• Linux/Unix administration.
• AWS, Azure, or GCP.
• CI/CD tools: Jenkins, GitLab, or GitHub Actions.
• Docker and Kubernetes.
• Terraform and Ansible.
• Python, Shell, or Bash scripting.
• Monitoring tools: Prometheus, Grafana, Splunk, or Datadog.
• Incident management and troubleshooting.

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Site Reliability Engineer (SRE) / Production Support Engineer

Experience: 5–10 Years

Location: Hyderabad

Work Mode: Face-to-Face Drive

Shift: Rotational Shifts

Job Description

Looking for an experienced SRE / Production Support Engineer with strong experience in application and production support, incident management, monitoring, troubleshooting, and cloud operations.

Key Skills

Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.

Good understanding of production deployments, batch monitoring, network/load balancing, and troubleshooting is required.

Candidates from SRE, Production Support, Application Support, Cloud Operations, or DevOps backgrounds are preferred.

Job Summary

We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in networking, DNS, load balancing, and hybrid cloud environments. The candidate will be responsible for maintaining the reliability, availability, performance, and scalability of production infrastructure and services.

The ideal candidate should have strong troubleshooting skills and experience working across network, cloud, infrastructure, and application environments.

Key Responsibilities

• Monitor and maintain the availability and reliability of production systems and services.
• Troubleshoot complex network, infrastructure, and application connectivity issues.
• Manage and troubleshoot DNS services, DNS resolution, records, and configuration issues.
• Configure, manage, and troubleshoot Load Balancers and traffic routing.
• Work with Layer 4 and Layer 7 networking and understand TCP/IP, HTTP/HTTPS, routing, and network connectivity.
• Support hybrid cloud environments involving on-premises infrastructure and public cloud platforms.
• Troubleshoot connectivity between on-premises data centers and cloud environments.
• Participate in production incidents, troubleshooting, root cause analysis (RCA), and problem management.
• Develop automation scripts and tools to reduce manual operational activities.
• Configure and maintain monitoring, alerting, and observability solutions.
• Work closely with Network, Cloud, DevOps, Security, and Application teams.
• Participate in on-call support and resolve production issues within defined SLAs.
• Document infrastructure, troubleshooting procedures, incident reports, and operational processes.
• Identify opportunities to improve system reliability, performance, and scalability.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

Job Summary:

We are looking for a Senior SRE/DevOps Engineer with strong experience in site reliability, automation, monitoring, observability, and production support. The candidate will be responsible for ensuring the reliability, availability, security, and performance of enterprise platforms.

Key Responsibilities:

• Own reliability, availability, security, and performance of enterprise browser platforms.
• Manage access and identity controls, Group Policy, and SAML/SSO integrations.
• Handle CI/CD deployments, configuration management, monitoring, and health checks.
• Develop automation and operational workflows using Python and Bash.
• Perform performance monitoring and production troubleshooting.
• Implement and maintain observability frameworks.
• Work with monitoring tools such as Datadog, Splunk, Dynatrace, Prometheus, and Grafana.
• Participate in incident management, RCA, and continuous improvement activities.
• Support highly available production environments in a 24/7 shift model.
• Collaborate with application, infrastructure, security, and operations teams.

Mandatory Skills:

• 10+ years of experience in SRE / DevOps.
• Strong hands-on experience in Python and Bash scripting.
• Experience with CI/CD and configuration management.
• Strong knowledge of monitoring and observability.
• Hands-on experience with Datadog, Splunk, Dynatrace, Prometheus, or Grafana.
• Experience with SAML/SSO, Identity & Access Management, and Group Policy.
• Banking domain experience.