Virtual Hiring Event on 25th April - Site Reliability Engineer at One2n · Pune · 3 - 7 years · ₹15L - ₹25L / yr · Bootstrapped · Posted 7 May 2026

Virtual Hiring Drive Site Reliability Engineer (SRE)
Date: 25th April 2026, Saturday (Single-Day Drive)
Mode: 100% Virtual - All interview rounds on the same day
Experience: 3 to 7 Years
Note : We are looking for quick joiners who can join us within 30 days.
About the Role
We are looking for a Site Reliability Engineer who understands the realities of running production systems at scale. If building reliable, scalable, and observable systems excites you, you'll enjoy working with us.
At One2N, we solve One-to-N problems where proof of concept is already built and the real challenge lies in scalability, maintainability, performance, and reliability.
You will work closely with startups and mid-sized clients, helping them architect production-grade infrastructure and observability systems.
Key Responsibilities
- Design and build platform engineering solutions with a self-serve model
- Architect and optimize observability systems (metrics, logs, traces)
- Implement monitoring, logging, alerting & dashboards
- Build and optimize CI/CD pipelines
- Automate repetitive operational and infrastructure tasks (IaC-first approach)
- Improve Developer Experience (DX)
- Guide teams on SRE best practices & on-call processes
- Participate in code reviews and mentor engineers
- Contribute to cloud-native and platform engineering initiatives
Must-Have Skills
- 3 - 7 years experience in DevOps / SRE / Platform Engineering
- Strong hands-on with Kubernetes on AWS
- Expertise in observability tools like Datadog / Honeycomb / ELK / Grafana / Prometheus
- Experience with Docker & Microservices architecture
- Infrastructure as Code using Terraform / Pulumi
- Strong Linux troubleshooting skill
- Programming knowledge in Golang / Python / Java
- Automation & scripting expertise

About One2n
About
One2N is a boutique technology consulting firm that helps fast-growing companies build and scale high-performance backend systems. As startups evolve from MVP to tens of thousands of users, the engineering challenges change dramatically — and we specialise in solving exactly those problems. Our work ensures that scaling, reliability, and performance never become bottlenecks to growth.
With deep expertise in Site Reliability Engineering, Cloud Infrastructure & DevOps, Data Engineering, and Backend Architecture, we partner with engineering teams to design, build, and operate resilient cloud-native systems. We believe in pragmatic, impact-driven engineering — creating solutions that are robust today and adaptable for tomorrow, so teams can ship faster, stay reliable, and scale confidently.
Candid answers by the company
One2N builds robust, scalable software systems for startups ready to grow from product-market fit to large-scale adoption.
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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
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 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.
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.
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.
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Architecture & Platform
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Reliability Engineering
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AI-First Engineering
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- Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
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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)
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Nice-to-Have
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- 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
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.
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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.















