DevOps Security Engineer

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute. About The Role We’re looking for an experienced DevOps Security Engineering contractor to help build and operate the foundational security and reliability tooling that empowers engineering teams of our client. This role blends security best practices, cloud infrastructure engineering, and DevOps automation to ensure that our client's internal platforms are secure, scalable, and highly available. The Trust Infra team exists to elevate the security posture of our client's infrastructure and services by embedding security in everything from provisioning to deployment, improving developer experience through automation, and building guardrails that enable safe, rapid delivery. Artifacts owned by this team include our client's secrets management system, authentication and authorization, cryptography, certificate workloads, and other core security components within their Kubernetes and cloud infrastructure. Key Responsibilities Secure Infrastructure & Engineering Design, implement, and maintain security-focused tooling and guardrails for infrastructure and service provisioningCollaborate with security engineering, SRE, and platform teams to ensure trust principles are integrated across the engineering lifecycleImplement best practices for secrets management, certificate lifecycle automation, and identity/authentication controls Cloud-Native Infrastructure Lead the design and improvement of AWS-native architectures that support secure, scalable, and resilient servicesApply Infrastructure as Code (Terraform) to standardize and enforce consistent infrastructure patternsManage Kubernetes cluster resource configurations, Helm charts, and Operator patterns to automate safe deployments Developer Enablement & Tooling Build internal tools and automation that reduce cognitive load for developers while enforcing security standardsPartner with platform and developer productivity teams to streamline onboarding, deploy pipelines, and self-service capabilitiesMonitor, observe, and alert on infrastructure health, compliance drift, and policy violations Qualifications Must-Haves 5+ years of hands-on experience operating Kubernetes and Security workloads in production environmentsDeep expertise of Kubernetes resource management, Helm charts, and operator patterns, centered around security workloadStrong understanding of Helm, including templating, dependency management, and release lifecycle practicesAdvanced troubleshooting skills for distributed systems using observability tools such as Prometheus, Grafana, and tracing systemsProven ability to execute complex infrastructure migrations with minimal service disruption Nice-to-Haves Familiarity with CNCF ecosystem tooling and GitOps-based deployment modelsPrior experience designing and implementing secure infrastructure guardrails on Kubernetes (external-secrets-operator, cert-manager)Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.