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.