Senior Software Engineer, DevOps - Moveworks (DevSecOps)
DevSecOps engineer on ServiceNow's Moveworks AI cloud team: triages and remediates vulnerability findings (SAST, container, dependency), builds security automation and CI/CD pipeline controls across AWS and Azure, hardens Kubernetes and infrastructure-as-code with policy-as-code, and supports secrets management and compliance automation using tools like Terraform, Vault, OPA/Kyverno, and ArgoCD.
- Compensation
- Not disclosed
- Location
- Bangalore, Karnataka, in
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 3-5 years of experience in DevOps, Platform, or Security Engineering
- Experience leveraging or critically thinking about integrating AI into work processes and problem-solving
- Hands-on technical contributor with strong ownership, able to drive vulnerability findings from triage to closure
- Working knowledge of AWS infrastructure, including IAM roles, security groups, and core networking (VPC, DNS)
- Working knowledge of, or strong interest in, Azure infrastructure and security services (Entra ID, Key Vault, NSGs, Azure Policy, Defender for Cloud)
- Experience with vulnerability scanning and security tooling: SAST, container/image scanning, dependency scanning, SBOM generation
- Experience with Kubernetes cluster fundamentals and workload security
- Working knowledge of secrets management, encryption, and certificate management across cloud providers
- Comfortability with tools such as Terraform, Vault, OPA/Kyverno, Jenkins, ArgoCD/Flux, Helm
- Scripting proficiency in Python, Bash, or Go for automating security and operations tasks
- Appetite for working at a startup pace on challenging problems with a high degree of ownership
Nice to have
- Exposure to both EKS and AKS
Full description
What you do in this role:
- Responsible for vulnerability management and security automation across the Moveworks AI cloud infrastructure and developer platform
- Closely work with platform, machine learning, search, data, and frontend teams to understand their security and infrastructure needs, and execute on DevSecOps roadmap initiatives
- Triage and drive remediation of findings from SAST, dependency, and container vulnerability scans across multi-cloud infrastructure, including AWS and Azure environments
- Implement and tune policy-as-code guardrails for Kubernetes and infrastructure-as-code, closing gaps identified through audits and scans
- Support secrets management operations, identity federation (IRSA on AWS, Managed Identity/Workload Identity on Azure), and least-privilege access patterns across the environment
- Build and manage CI/CD pipeline security controls (artifact signing, build provenance, dependency pinning) as part of the broader infrastructure-as-code and automation stack
- Support replatformization efforts extending infrastructure and security controls to Azure and other hyperscaler environments, including AKS cluster security posture
- Work closely with the security team on compliance automation, evidence collection, and audit readiness as ServiceNow's controls are adopted
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 3-5 years of experience in DevOps, Platform, or Security Engineering
- Hands-on technical contributor with a strong sense of ownership, able to work through vulnerability findings and remediation from triage to closure
- Working knowledge of AWS infrastructure, including IAM roles, security groups, and core networking (VPC, DNS)
- Working knowledge of, or strong interest in, Azure infrastructure and security services (Azure AD/Entra ID, Azure Key Vault, Network Security Groups, Azure Policy, Microsoft Defender for Cloud)
- Experience with vulnerability scanning and security tooling: SAST, container/image scanning, dependency scanning, SBOM generation, across AWS and/or Azure
- Experience with Kubernetes cluster fundamentals and workload security; exposure to both EKS and AKS is a plus
- Working knowledge of secrets management, encryption, certificate management, and related security practices across cloud providers