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Arcana Analytics

DevOps Engineer

Arcana Analytics
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8 months ago
Bengaluru, IndiaMid Level
H1B Sponsor

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

DevOps
Arcana Analytics

About Arcana Analytics

201-500 employees

Arcana enables institutional investors to understand their portfolio risks, decompose single stock & book performance, drill into crowding, and isolate their idiosyncratic differentiation. Built on our proprietary crowding, ownership, factor risk, and performance datasets. The company's investors include D1 Capital, Duquesne (Stan Druckenmiller), Tiger Global, Abstract Ventures, GoldenTree Asset Management, Ryan Roslansky (CEO LinkedIn), and Akshay Kothari (COO Notion), among others.

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