DevSecOps Lead - Stamford, CT (Need only locals)

Title: DevSecOps Lead  

Location: Stamford, CT (Need only locals)

Exp: 12+ years

Responsibilities:

·         Develop and implement cloud-native infrastructure solutions to support the entire software development lifecycle.

·         Design and operate Kubernetes infrastructure using emerging technologies such as Datadog, Argo CD, Crossplane, Helm, and Karpenter.

·         Champion the design, implementation, and management of our cloud infrastructure using Terraform, ensuring best practices for scalability, resiliency, and security.

·         Support migration efforts to K8s.

·         Support architectural modernization of applications and their underlying infrastructure to be more cloud native leveraging serverless platforms, Docker, Kubernetes, etc.

·         Build, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate front office software applications and core infrastructure technology.

·         Partner with the global IT organization to identify areas for automation (via IaC, CID/CD pipelines, etc) and implement solutions to streamline IT workflows and operational processes such as infra deployment, upgrades, patching, and migration with minimal service downtimes.

·         Support the design and implementation of high availability, disaster recovery, and business continuity plans to ensure the availability of critical IT services.

·         Conduct product evaluations, design & development of new features/enhancements, and continuous improvements in all areas of infrastructure service operations. Respond to mission-critical service issues to triage and resolve complex problems.

·         Partner with developers and internal stakeholders to understand requirements, engineer, optimize, support, and maintain cloud-native solutions.

·         Troubleshoot and diagnose issues and remediate them accordingly.

Qualifications:

·         Bachelor’s degree required, preferably in Computer Science, MIS, or related technical field of study.

·         Minimum 5+ years of prior professional Platform Engineering experience.

·         Excellent understanding of AWS services; including EKS, ECS, and related services

·         Hands-on experience with Kubernetes infrastructure and tooling, including Datadog, Argo CD, Crossplane, Helm, and Karpenter strongly preferred.

·         Experience with various CI/CD methodologies, container orchestration tools, and observability and performance monitoring technologies.

·         Good understanding of networking concepts and OSI layers.

·         Experience designing and implementing DevSecOps practices.

·         Advanced knowledge in assessing, deploying, configuring, testing, and operating AWS services using IaC tools.

·         Experience working in Linux environments.

·         Strong understanding of containers (eg: Docker) and container orchestration via Kubernetes

·         Demonstrated hands-on experience with Git, Python, shell scripting, and Terraform in an enterprise production environment.

·         Thorough understanding of change management control and the software development lifecycle, from requirements analysis to testing and deployment.

·         Proven experience in conducting Root Cause Analysis (RCA) of issues, with a demonstrated ability to analyze data, identify patterns, and propose effective solutions to prevent the recurrence of the issue.

·         Excellent verbal and written communication skills, possessing the ability to interact effectively with technical and non-technical stakeholders.

·         Strong analytical skill-set with demonstrated attention to detail.

·         Ability to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.

Preferred Qualifications:

·      Experience implementing Kubernetes security controls, including eBPF-based runtime visibility or policy enforcement

·      Experience supporting MLOps workloads on Kubernetes (e.g., model training, serving, pipelines, or GPU-enabled workloads)

·      Experience operating across multiple Kubernetes distributions (e.g., managed cloud Kubernetes and self-managed clusters)

·      Experience leveraging Open Source technologies incubated through CNCF