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DevSecOps Engineer

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TechSpace Solutions Inc.

Stamford, CT (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/7/2026

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Job Description

Role:
DevSecOps Engineer Location:
Stamford , CT (Onsite)
Duration:
12
Months 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

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