Site Reliability Engineer at LogIQ Labs Pvt.Ltd. · Remote only · 6 - 8 years · ₹8L - ₹16L / yr · Raised funding · Remote only · Posted 4 Jun 2026
Key Responsibilities
- Design, implement, and maintain highly available infrastructure on AWS.
- Automate infrastructure provisioning using Terraform (Infrastructure as Code).
- Define and monitor SLIs, SLOs, and error budgets to improve service reliability.
- Build and manage CI/CD pipelines to enable safe and frequent deployments.
- Implement robust monitoring, alerting, and logging solutions.
- Perform incident response, root cause analysis (RCA), and postmortems.
- Improve system resilience through automation and self-healing mechanisms.
- Optimize cloud resource utilization and cost (FinOps awareness).
- Collaborate with development teams to improve application reliability.
- Manage containerized workloads using Docker and Kubernetes (EKS preferred).
- Implement security and compliance best practices across infrastructure.
- Maintain operational runbooks and documentation.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 7–8 years of experience in SRE, DevOps, or Production Engineering.
- Strong hands-on experience with AWS services.
- Proven experience with Terraform for infrastructure automation.
- Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar).
- Strong scripting skills (Python, Bash, or Shell).
- Experience with Linux system administration.
- Hands-on experience with monitoring and observability tools.
- Good understanding of networking and cloud security fundamentals.
- Experience with Git and branching strategies

About LogIQ Labs Pvt.Ltd.
About
]eShipz: Simplifying Global Shipping for Businesses: At eShipz, we are revolutionizing how businesses manage their shipping processes. Our platform is designed to offer seamless multi-carrier integration, enabling businesses of all sizes to ship effortlessly across the globe. Whether you're an e-commerce brand, a manufacturer, or a logistics provider, eShipz helps streamline your supply chain with real-time tracking, automated shipping labels, cost-effective shipping rates, and comprehensive reporting.
Our goal is to empower businesses by simplifying logistics, reducing shipping costs, and improving operational efficiency. With an easy-to-use dashboard and a dedicated support team, eShipz ensures that you focus on scaling your business while we handle your shipping needs.
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Required Skills:
- Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
- Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
- Strong knowledge of AWS, Azure, or GCP cloud platforms.
- Experience with Docker, Kubernetes, and container orchestration.
- Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
- Good scripting skills in Python, Bash, or Shell scripting.
- Understanding of SLI, SLO, SLA, error budgets, and service reliability.
- Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
- Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
- Experience with Linux/Unix administration and networking fundamentals.
- Familiarity with Agile methodologies, Git, and automated deployment practices.
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.
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 / 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 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 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 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
- Cloud platforms: AWS / Azure / GCP
- Python, Bash, or Shell scripting
- Linux/Unix administration
Good-to-Have Skills:
- Ansible or other configuration management tools
- Helm and Kubernetes administration
- Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps
- Prometheus and Grafana
- Git and version control
- AWS EKS, Azure AKS, or Google GKE







