Cloud Data DevSecOps

Our client is seeking an experienced Cloud Data DevSecOps Engineer to build, automate, secure, and operate AWS-based big data infrastructure. This remote position will support cloud data platforms using infrastructure-as-code, AWS big data services, DevSecOps practices, and automation to ensure environments are scalable, secure, compliant, reliable, and cost-effective. The ideal candidate has hands-on AWS cloud engineering experience and is comfortable working across client stakeholders, security teams, data engineering teams, infrastructure teams, and delivery teams. Responsibilities Build, maintain, and enhance AWS infrastructure-as-code using CloudFormation or similar technologies. Design, support, and operate AWS big data services and platforms, including S3, EMR, Glue, Redshift, Kinesis, Lambda, and related services. Apply DevSecOps practices across cloud and data environments, including CI/CD pipelines, security scanning, IAM least-privilege design, and compliance guardrails. Develop scripts and automation using Python, Java, or similar languages to support infrastructure, data pipelines, deployments, monitoring, and operational requirements. Monitor, secure, scale, and troubleshoot AWS-based big data platforms. Identify and resolve performance, reliability, security, scalability, and cost optimization issues. Work with client stakeholders and technical teams to translate requirements into secure and scalable cloud data platform solutions. Create and maintain technical documentation, implementation plans, operational runbooks, and architecture artifacts. Collaborate across security, infrastructure, data engineering, and delivery teams to support successful implementation and ongoing operations. Clearly communicate complex cloud, data, security, and DevSecOps concepts to technical and non-technical stakeholders. Required Qualifications Bachelor's degree or higher from an accredited college or university in Information Systems, Computer Science, Engineering, Data Engineering, or a related field. 5+ years of experience in cloud engineering, DevOps, data platform engineering, infrastructure engineering, or a related technical role. Hands-on experience building, automating, securing, and operating AWS-based environments. Experience with AWS big data services such as S3, EMR, Glue, Redshift, Kinesis, Lambda, or similar technologies. Experience with infrastructure-as-code, preferably AWS CloudFormation or a comparable IaC platform. Experience applying DevSecOps practices, including CI/CD pipelines, security scanning, IAM least-privilege design, and secure cloud configuration. Scripting or automation experience using Python, Java, or a similar programming language. Experience monitoring, troubleshooting, securing, and optimizing AWS data platforms for scalability, reliability, performance, and cost. Strong written and verbal communication skills with the ability to explain technical concepts clearly to clients and stakeholders. Ability to work effectively across client, security, infrastructure, data engineering, and delivery teams. Self-motivated and proactive with the ability to work independently while contributing effectively in a collaborative environment. U.S. Citizenship is required. Must be willing and able to undergo a background investigation for a Public Trust clearance/suitability determination. Preferred Qualifications Experience working in FedRAMP, Public Trust, federal government, or other regulated cloud environments. Experience supporting production AWS data platforms with a focus on performance, scalability, security, reliability, and cost optimization. Experience working directly with clients, stakeholders, and cross-functional technical teams. Ability to communicate complex cloud, data platform, security, compliance, and DevSecOps concepts to both technical and non-technical audiences. Experience developing technical documentation, architecture diagrams, implementation plans, operational procedures, and runbooks. Familiarity with compliance guardrails, data governance, IAM and security controls, cloud risk management, or secure-by-design cloud practices. Experience estimating, planning, and communicating technical implementation approaches, tradeoffs, risks, and timelines for cloud or data platform initiatives.