Senior DevOps Engineer

Skan AI; Bengaluru; Hybrid; INR 4,200,000 - 6,500,000; Full time

Job summary

Skan AI in Bengaluru seeks a Senior DevOps Engineer to design, build, and operate secure, scalable cloud infrastructure across Microsoft Azure and Google Cloud Platform (GCP). This role emphasizes DevSecOps, IAM, and CI/CD with a focus on automation, security, and reliability.

The candidate will drive IaC using Terraform, manage Linux systems, and ensure compliant, scalable operations with robust monitoring. The role is hybrid, based in Bangalore, with three days in the office per week.

Qualifications

• 6+ years of experience in DevOps, Cloud Engineering, or related roles.
• Strong hands-on experience with Google Cloud Platform (GCP) including networking, GKE, VMs, storage, DNS, and secrets management.
• Proven DevSecOps experience with SAST/DAST/SCA integrated into CI/CD pipelines.
• Experience with Docker and Kubernetes including troubleshooting production workloads.
• Experience implementing CI/CD pipelines using Azure DevOps and Harness with YAML pipelines and environments.
• Strong Terraform experience including modules, state management, and workspaces.
• Advanced Linux administration including performance tuning and networking diagnostics.
• Scripting in Bash and Python.
• Familiarity with observability tools such as Grafana, Loki, Tempo, Mimir, Alertmanager.

Responsibilities

• Design, implement, and maintain cloud infrastructure across Azure and GCP.
• Develop and operate CI/CD pipelines with integrated DevSecOps controls.
• Automate infrastructure provisioning and management using IaC (Terraform).
• Implement and manage IAM including RBAC, service accounts, and identity federation.
• Embed security practices such as secrets management, vulnerability scanning, and policy enforcement.
• Ensure high availability, scalability, reliability, and cost optimization of cloud environments.
• Monitor platform health, troubleshoot incidents, and lead root-cause analysis.
• Collaborate with development, security, and platform teams to improve deployment velocity and reliability.
• Maintain documentation and runbooks.

Skills

DevOps

Cloud engineering

GCP

Docker

Kubernetes

CI/CD pipelines

Azure DevOps

Harness

Terraform

Linux administration

Bash

Python

Observability

Tools

Grafana

Loki

Tempo

Mimir

Alertmanager

Job description

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

We are seeking a Senior DevOps Engineer to design, build, and operate secure, scalable cloud infrastructure across Microsoft Azure and Google Cloud Platform (GCP). This role combines deep cloud engineering expertise, DevSecOps practices, Identity and Access Management (IAM), and strong Linux system administration to enable reliable CI/CD pipelines, infrastructure automation, and security-first platform operations. The ideal candidate will be passionate about automation, platform reliability, and embedding security throughout the software delivery lifecycle.

Key Responsibilities

• Design, implement, and maintain cloud infrastructure across Azure and Google Cloud Platform (GCP).
• Develop and operate CI/CD pipelines with integrated DevSecOps security controls.
• Automate infrastructure provisioning and management using Infrastructure as Code (IaC).
• Implement and manage Identity and Access Management (IAM) including RBAC policies, service accounts, and identity federation.
• Embed security best practices such as secrets management, vulnerability scanning, and policy enforcement.
• Ensure high availability, scalability, reliability, and cost optimization of cloud environments.
• Monitor platform health, troubleshoot production incidents, and lead root-cause analysis.
• Collaborate with development, security, and platform teams to improve deployment velocity and system reliability.
• Maintain documentation, operational runbooks, and engineering best practices.

Required Skills & Experience

(Must-Have)

• 6+ years of experience in DevOps, Cloud Engineering, or related roles.
• Strong hands-on experience with Google Cloud Platform (GCP) including networking, GKE, virtual machines, storage, DNS, and secrets management.
• Proven DevSecOps experience including shift-left security and integration of SAST, DAST, and SCA within CI/CD pipelines.
• Experience with container technologies such as Docker and Kubernetes, including troubleshooting production workloads.
• Experience implementing CI/CD pipelines using Azure DevOps and Harness, including YAML pipelines, variable groups, and environment configurations.
• Strong experience with Infrastructure as Code using Terraform including module development, state management, and workspace strategies.
• Advanced Linux system administration including performance tuning, network diagnostics using tcpdump, kernel parameter tuning, and cgroups.
• Strong scripting and automation using Bash and Python.
• Experience with observability tools such as Grafana, Loki, Tempo, Mimir, and Alertmanager.

(Good-to-Have)

• Experience designing multi-cloud or hybrid cloud architectures including cross-cloud networking.
• Exposure to cloud cost optimization and FinOps practices including usage monitoring and resource optimization.
• Experience with enterprise Kubernetes platforms such as Red Hat OpenShift.
• Familiarity with data platforms such as PostgreSQL, StarRocks, and Apache Flink.
• Experience implementing Identity and Access Management frameworks including RBAC, SSO, OAuth, service principals, and identity federation.
• Experience working in Agile/Scrum environments and collaborating across engineering teams.

Soft Skills

• Strong ownership mindset and proactive problem-solving abilities.
• Ability to collaborate across teams and mentor junior engineers.
• Strong communication and documentation skills.

This is a hybrid role based in Bangalore, with an expectation to work from the office three days a week.

Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.

We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.