DevOps Engineer
Arcana Analytics10 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Own the design and implementation of infrastructure services, including GCP cloud architecture.
- Build and maintain highly automated infrastructure using Terraform, Ansible, Python, and Go scripting.
- Improve system reliability, performance monitoring, logging, and alerting.
- Manage access controls, secrets, and network segmentation using a security-first approach.
- Build internal tooling and CI/CD pipelines to accelerate developer productivity.
- Collaborate with engineering leaders, application teams, product managers, and leadership on the technical roadmap.
- Mentor infrastructure engineers and drive architectural decisions.
Requirements
- At least 4 years of hands-on experience in DevOps or infrastructure engineering roles.
- Deep expertise in Linux systems, distributed systems, containers, Kubernetes, and cloud platforms, preferably GCP or AWS.
- Strong programming and scripting skills in Python, Go, or similar languages.
- Experience with infrastructure as code, automation, CI/CD, and monitoring tools such as GitHub Actions, ArgoCD, Jenkins, Prometheus, ELK, or Grafana.
- Strong focus on security, reliability, performance, and high-availability environments.
- Leadership or strong mentorship experience, with the ability to drive architectural decisions and influence engineering culture.
- Excellent communication and cross-functional collaboration skills.
- Experience scaling infrastructure for fast-growing startups.
- Exposure to cloud-native security practices and zero-trust architectures.
- Background in developer platforms or internal tooling is preferred.
- Familiarity with data-heavy or ML-based systems is preferred.
Tech Stack
AnsibleAWSGitHub ActionsGoGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform
Categories
About Arcana Analytics
Arcana Analytics builds a portfolio intelligence platform for hedge funds and asset managers, combining portfolio data with analytics on performance attribution, factor risk, crowding, and ownership using proprietary datasets. It sells enterprise software and data subscriptions used for portfolio construction, real-time risk, and research workflows by institutional investors in global markets, including APAC. Founded in 2022 and headquartered in New York, the company is privately held and raised a Series B in 2026.