Job Description:

ACKO, one of India’s fastest-growing tech-first companies, is looking for a DevOps Engineer – 2 to join its engineering team.

At ACKO, innovation meets real-world problem-solving. With more than 200 million customers already served, we’re not just reimagining insurance but building a digital-first, hassle-free protection ecosystem. This role is ideal for someone who enjoys working with cloud-native technologies, building scalable infrastructure, and ensuring high availability of mission-critical systems.

As a DevOps Engineer, you’ll be responsible for managing large-scale production environments, optimizing performance, and driving automation. You’ll get to work with cutting-edge technologies in cloud computing, Kubernetes, CI/CD, monitoring, and automation frameworks. More importantly, you’ll be part of a culture where your voice matters, your ideas thrive, and your work directly impacts millions of lives.

Key Responsibilities:

• Manage and ensure the end-to-end availability and performance of production systems.
• Work with AWS, GCP, and Azure cloud environments to build scalable infrastructure.
• Implement and manage containerization & microservices using Kubernetes.
• Develop automation scripts and tools (preferably in Python or Go) to improve operational efficiency.
• Monitor systems using logging & metrics platforms to maintain high service reliability.
• Implement SLOs/SLIs, KPIs, and error budgets for mission-critical services.
• Troubleshoot, root-cause, and resolve issues while driving process improvements.
• Collaborate with engineering teams to support CI/CD pipelines (Jenkins, GitHub Actions).
• Use Terraform for Infrastructure as Code (IaC).
• Contribute to process improvements and optimization initiatives.

Key Technical Skills:

AWS, GCP, Kubernetes, CI/CD (Jenkins, GitHub Actions), Python, Terraform

Preferred Skills:

Service Mesh, Multi-Cloud Exposure, Database Management (Postgres, MongoDB)

Requirements

• 3+ years of DevOps experience managing large-scale, production-grade environments.
• Strong knowledge of cloud technologies (AWS mandatory, GCP/Azure preferred).
• Hands-on expertise with Kubernetes and microservices.
• Proficiency in Python (preferred) or Go for automation.
• Good understanding of monitoring tools, SLO/SLI metrics, and error budgeting.
• Strong troubleshooting and problem-solving mindset with a focus on scalability and efficiency.