Jobs Companies Arcana Analytics DevOps Engineer

Über diese DevOps Engineer Stelle bei Arcana Analytics

Arcana Analytics · Vor Ort · Bangalore

 

Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned DevOps Engineer (Bangalore, Coimbatore). Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.

Responsibilities:

  • Own design and implementation of infrastructure services including GCP cloud architecture.
  • Build and maintain highly automated infrastructure using tools like Terraform, Ansible, and scripting (Python/Go).
  • Drive improvements in system reliability, performance monitoring, logging, and alerting systems.
  • Ensure systems are secure by design—manage access controls, secrets, and network segmentation with a strong security-first mindset.
  • Build internal tooling and CI/CD pipelines to accelerate developer productivity.
  • Collaborate with engineering leaders and mentor a growing team of infrastructure engineers.
  • Work closely with application teams, product managers, and leadership to align infrastructure efforts with Arcana’s technical roadmap.

Requirements:

  • 4 + years of hands-on experience in DevOps/Infrastructure Engineering roles, preferably at high-growth tech startups or product companies.
  • Deep expertise in Linux systems, distributed systems, containers, Kubernetes, and cloud (preferably GCP/AWS).
  • Strong programming skills in Python, Go, or similar languages; scripting expertise is a must.
  • Proven experience with infrastructure-as-code, automation, CI/CD (e.g., GitHub Actions, ArgoCD, Jenkins), and monitoring tools like Prometheus, ELK, or Grafana.
  • Strong focus on security, reliability, and performance in high-availability environments.
  • Leadership experience or strong mentorship history, comfortable driving architectural decisions and influencing engineering culture.
  • Excellent communication skills; ability to work cross-functionally with both technical and non-technical teams.
  • Experience scaling infrastructure for fast-growing startups
  • Exposure to cloud-native security practices and zero-trust architectures
  • Background in developer platforms or internal tooling
  • Familiarity with data-heavy or ML-based system
  • Passion for elegant tooling and developer enablement



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Portfolio intelligence for hedge funds and asset managers — analyze risk, decompose performance, and surface alpha.

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