DevOps Engineer
Bangalore, India
Summary
Arcana Analytics seeks a DevOps Engineer in Bangalore to manage large, self-managed Kubernetes clusters on GCP, using IaC tools like Terraform and Helm, and operating observability stacks. The role involves improving developer experience and automating workflows with tools like Python, Bash, and AI.
About Arcana
At Arcana, we understand technology networks and what drives businesses forward. From cloud-native platforms and data-driven solutions to DevOps automation, enterprise-scale services, infrastructure, and digital transformation, we deliver innovative solutions that help enterprises become smarter, more scalable, and more secure.
We are growing rapidly and run a fully containerised, cloud-native platform on self-managed Kubernetes clusters in GCP, with around 3,000 nodes at scale. Our workloads and databases run on Kubernetes, and we operate a centralized, high-volume observability stack along with in-house alerting and access-request tools.
We are looking for a hands-on DevOps Engineer who enjoys self-managed open-source systems, solving problems at scale, and improving developer experience.
What you’ll do
At Arcana, we understand technology networks and what drives businesses forward. From cloud-native platforms and data-driven solutions to DevOps automation, enterprise-scale services, infrastructure, and digital transformation, we deliver innovative solutions that help enterprises become smarter, more scalable, and more secure.
We are growing rapidly and run a fully containerised, cloud-native platform on self-managed Kubernetes clusters in GCP, with around 3,000 nodes at scale. Our workloads and databases run on Kubernetes, and we operate a centralized, high-volume observability stack along with in-house alerting and access-request tools.
We are looking for a hands-on DevOps Engineer who enjoys self-managed open-source systems, solving problems at scale, and improving developer experience.
What you’ll do
- Operate and scale large self-managed Kubernetes environments on GCP, including workloads and databases.
- Manage cloud infrastructure using Terraform, Helm, and other Infrastructure as Code tools.
- Run and scale our centralized observability stack for high-volume metrics, logs, dashboards, and alerting.
- Build and improve internal developer-productivity, deployment, alerting, and access-request tools.
- Work with developer, backend, frontend, security, and platform teams to reduce friction and improve release reliability.
- Troubleshoot production issues, automate repetitive work, and maintain platform-security best practices.
- Use LLMs and AI tooling efficiently for troubleshooting, automation, documentation, and improving engineering workflows.
- Write clear documentation and guide teams on DevOps best practices.
What we’re looking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience.
- Strong hands-on Kubernetes experience; experience with large managed or self-managed clusters is a major plus.
- Cloud experience with GCP, AWS, or Azure; GCP is strongly preferred.
- Experience with Helm and at least one IaC tool, such as Terraform or Crossplane.
- Strong experience with open-source observability tools; Grafana is required, and Prometheus, Loki, Victoria or ELK/OpenSearch experience is a plus.
- Experience operating self-managed infrastructure or open-source platforms.
- Moderate Proficiency in Python, Bash, or PowerShell.
- Experience with Docker and container-based application deployment.
- Understanding of cloud and platform security best practices.
- Experience improving developer productivity, internal tooling, or engineering environments.
- Experience using LLMs or AI coding assistants to solve real engineering problems.
- Experience supporting data engineering or data science teams is a plus.
Why join Arcana
At Arcana, we value passionate engineers who take ownership, enjoy solving hard problems, and want to grow with the company. We provide a platform to work on meaningful, large-scale challenges.
Here, you will have the opportunity to shape how engineering teams build, deploy, and operate software at scale, with the support of a collaborative and fast-growing team. (