SRE with Devops

Site reliability engineer - Experience: 5+ Years

Location: mumbai

Mandatory Skills: SRE (site reliability engineering) , aws cloud , and devops

We are looking for an experienced SRE with DevOps expertise to ensure the reliability, availability, scalability, and performance of production systems. The candidate should have hands-on experience in cloud infrastructure, CI/CD automation, monitoring, incident management, and infrastructure as code.

Responsibilities

• Monitor production environments and ensure high availability, reliability, and performance.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Work with Docker and Kubernetes for containerization and orchestration.
• Implement monitoring, logging, and alerting using Prometheus, Grafana, Splunk, ELK, or Datadog.
• Handle incident management, root cause analysis, troubleshooting, and post-incident reviews.
• Develop automation scripts using Python, Bash, or Shell scripting.
• Improve system reliability by reducing manual tasks, toil, and recurring incidents.
• Manage deployments, releases, disaster recovery, and production support activities.
• Define and monitor SLIs, SLOs, and SLAs to improve service reliability.

Required Skills

• Strong experience in SRE and DevOps practices.
• Hands-on experience with AWS / Azure / GCP.
• CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Infrastructure as Code: Terraform, Ansible, or CloudFormation.
• Containerization: Docker and Kubernetes.
• Scripting: Python, Bash, or Shell.
• Monitoring and observability: Prometheus, Grafana, Splunk, ELK, or Datadog.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience in production support, incident management, and root cause analysis.
• Good understanding of networking, system performance, high availability, and disaster recovery.

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.

Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

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.

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

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 an experienced SRE DevOps Engineer with strong hands-on experience in cloud infrastructure, container orchestration, infrastructure automation, and CI/CD pipelines. The candidate should have expertise in Terraform, Kubernetes, Docker, scripting, and cloud platforms to build, deploy, and maintain scalable and reliable infrastructure.

Key Responsibilities:

Design, implement, and maintain CI/CD pipelines for application deployment.

Manage and automate infrastructure provisioning using Terraform.

Deploy, configure, and manage containerized applications using Docker and Kubernetes.

Work with cloud platforms such as AWS, Azure, or GCP.

Develop automation scripts using Python, Bash, or Shell scripting.

Implement Infrastructure as Code (IaC) practices for consistent and repeatable deployments.

Configure monitoring and observability tools to track system performance and availability.

Optimize infrastructure performance, scalability, and resource utilization.

Collaborate with development teams to improve deployment workflows and operational efficiency.

Mandatory Skills:

SRE / DevOps Engineering

Terraform and Infrastructure as Code (IaC)

Kubernetes

Docker and containerization

CI/CD tools and pipeline automation

Job Spec:-

• Strong SRE fundamentals with hands-on experience applying reliability practices across applications and platforms
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony
• Demonstrated expertise in service instrumentation and operating observability platforms (Splunk, Grafana, Datadog), with solid understanding of metrics, logs/events, and traces
• Strong proficiency with AWS cloud services and operational best practices
• Hands-on experience with CI/CD pipelines and source control (Jenkins/Jules; Git/Bitbucket)
• Scripting/automation skills (preferred) to reduce toil and improve operational efficiency
• Ability to rapidly develop proof-of-concepts and mature them into stable, production-ready solutions
• Cloud certification and/or strong experience supporting cloud-based applications (public and/or private cloud)
• Proven incident management experience, including clear communications and writing thorough RCAs (post-incident reports)
• Familiarity with AI concepts and responsible use of AI tools to improve operations and productivity