Hungry, Humble, Honest, with Heart. - The Opportunity

We are seeking a Senior to Staff-level DevSecOps Engineer (IC4+) to provide technical leadership across our secure software delivery and AI/ML platform infrastructure. This role is designed for a highly experienced individual contributor who can own architecture decisions, influence platform strategy, and drive DevSecOps excellence at scale.

This is a hands-on role with broad organizational impact, requiring deep expertise in cloud-native infrastructure, Kubernetes security, automation, and contemporary DevSecOps practices. - About the Team

You will report to Sr. Manager Engineering, a highly approachable and supportive leader known for fostering trust, technical rigor, and a collaborative culture. The team values autonomy, accountability, and continuous improvement. - Your Role

As an IC4+, you will operate with significant autonomy and influence, owning complex systems end-to-end and shaping how DevSecOps and MLOps are practiced across the organization.

- Design and own infrastructure-as-code (IaC) foundations using Terraform, Ansible, or CloudFormation, emphasizing immutability, least privilege, and auditability.
- Lead Kubernetes security architecture, including RBAC design, workload isolation, network policies, secrets management, and runtime security controls.
- Design and operate observability platforms (metrics, logs, traces) using tools such as Coralogix, Prometheus, Grafana, and ELK, with a focus on early threat detection, incident response, and system health.
- Own reliability and performance of Kafka-based platforms,



including capacity planning, monitoring, tuning, and failure mitigation.
- Design and implement automated ML / AI workflows (MLOps / LLMOps) that ensure experiment reproducibility, secure model lifecycle management, and scalable deployment.
- Integrate advanced security tooling (SAST, DAST, IAST, dependency and container scanning) into pipelines, enabling automated policy enforcement and remediation.
- Act as a technical mentor and force multiplier, raising the DevSecOps maturity of the team through reviews, design guidance, and best-practice advocacy.
- Partner cross-functionally with Security, Platform, AI/ML, and Product teams to translate risk, compliance, and performance requirements into pragmatic technical solutions.
- Continuously evaluate and introduce new technologies, frameworks, and patterns that improve security posture, developer velocity, and operational resilience. - What You Will Bring
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 4-12+ years of progressive experience in DevOps / DevSecOps / Platform Engineering roles, with clear ownership of production-grade systems.
- Proven experience designing and operating secure CI/CD platforms at scale.




- Strong proficiency in CI/CD tooling (Jenkins, GitLab CI/CD, CircleCI) and scripting/programming (Python, Bash, Go, or similar).
- Deep expertise in Infrastructure as Code, containerization, and Kubernetes internals and security.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP), including identity, networking, encryption, and native security services.
- Experience implementing and operating against compliance and security frameworks such as CIS benchmarks, SOC 2, GDPR, or HIPAA.
- Hands-on experience with MLOps/LLMOps, including designing model lifecycle pipelines, automating training and deployment workflows, and deploying scalable AI/ML systems in cloud-native environments.
- Ability to lead through influence, communicate complex technical concepts clearly, and drive alignment across engineering and security stakeholders. - Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

📌 Member of Technical Staff - 4 (DevOps - Ai/ Mlops) (Bengaluru)
🏢 Nutanix
📍 Bengaluru