Arcana

Web3 data analytics for institutions

DevOps Engineer

Platform EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

A 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 Infrastructure as Code tool, such as Terraform or Crossplane.
Strong experience with open-source observability tools; Grafana is required, and experience with Prometheus, Loki, VictoriaMetrics, or ELK/OpenSearch 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 large language models or AI coding assistants to solve engineering problems.

Responsibilities

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 the 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 large language models and AI tooling for troubleshooting, automation, documentation, and improving engineering workflows.
Write documentation and guide teams on DevOps best practices.

Desired Qualifications

Experience with large managed or self-managed Kubernetes clusters.
GCP experience.
Experience with Prometheus, Loki, VictoriaMetrics, or ELK/OpenSearch.
Experience supporting data engineering or data science teams.

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

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. (

About the Company

Arcana

Web3 data analytics for institutions

Arcana provides specialized data analytics for the Web3 ecosystem. It offers proprietary datasets and advanced analysis tools to institutional investors, and operates on a subscription model that gives clients ongoing access to data and analytics for digital asset strategies and allocations. The product works by delivering high-quality, precise data and analytics through a subscription, helping clients make informed decisions and manage risk. Arcana differentiates itself through rigorous data integrity and accuracy, focusing on institutional customers such as hedge funds and large financial firms rather than consumer markets. The company's goal is to help clients mitigate risks and seize opportunities in the digital asset space by providing reliable, actionable insights that guide investment decisions.

Company size: 1-10
Company stage: Seed
Total funding: $5.3M
Headquarters: Pasadena, CA
Founded: 2018

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