The Lead Engineer, DevOps will design and build base images for runtimes, ensure security compliance, manage image pipelines, and collaborate with various teams on infrastructure needs.
Saviynt’s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and Privileged Access Management(PAM) to secure the entire business ecosystem and provide a frictionless user experience. The world’s largest brands trust Saviynt to accelerate digital transformation, empower distributed workforces, and meet continuous compliance. We are a distributed global R&D team that is extremely focused on building a platform that solves the toughest security and compliance challenges while helping Saviynt maintain its leadership position in delivering enterprise identity cloud solutions.
WHAT YOU WILL BE DOING
- Containerization & Orchestration:
- Architect and maintain Kubernetes-based infrastructure (AKS, EKS, or GKE).
- Define and enforce containerization standards using Docker and Helm charts.
- Implement advanced Kubernetes features such as service mesh, auto-scaling, and blue-green/canary deployments.
- Optimize container runtime performance, image security, and network configurations.
- Infrastructure as Code (IaC):
- Build and manage scalable cloud environments using Terraform, Pulumi, or CloudFormation.
- Implement modular and reusable IaC architectures to standardize infrastructure provisioning.
- Integrate IaC pipelines into CI/CD workflows for fully automated infrastructure management.
- Maintain policy-as-code frameworks (e.g., OPA, Conftest) to ensure compliance and governance.
- CI/CD Engineering:
- Design, implement, and optimize end-to-end CI/CD pipelines (GitHub Actions, GitLab CI or ArgoCD)
- Automate testing, container builds, security scans, and deployments for microservices and APIs.
- Drive best practices for pipeline observability, versioning, and artifact management.
- Collaborate with developers to accelerate release cycles and improve deployment reliability.
- Automation & AI Adoption:
- Build automation scripts and tooling to eliminate manual tasks across infrastructure and pipelines.
- Evaluate and integrate AI-assisted DevOps tools
- Use automation and ML insights to improve deployment speed, resiliency, and incident prevention.
- Collaboration & Leadership: Partner with development and platform teams to ensure consistent delivery standards.
- Mentor team members in DevOps best practices, IaC methodologies, and cloud-native design.
- Contribute to the continuous evolution of DevOps culture, emphasizing automation, quality, and reliability.
WHAT YOU BRING
- Bachelor’s degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master’s degree a plus.
- 6+ years of experience in DevOps, Cloud, or Platform Engineering roles.
- 4+ experience in Cloud development (AWS, Azure) and working actively on medium-to-large scale infrastructure management with cloud-native tools.
- Deep expertise in containerization and orchestration — Kubernetes, Docker, Helm.
- Strong experience with Infrastructure as Code tools (Terraform, Pulumi, or CloudFormation).
- Proven track record designing and managing CI/CD pipelines in cloud-native environments.
- Strong scripting and automation skills in Python, Bash, or Go.
- Proficiency with at least one major cloud provider (AWS, Azure, or GCP).
- Certification in one of the following is mandatory, CKA(Preferred), AWS Solution Architect, Azure or GCP
Top Skills
Amazon Inspector
AWS
Azure
Docker
GCP
Gitlab Ci
Go
Grype
Java
Kubernetes
Linux
Microsoft Defender
Node.js
Python
Trivy
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