The Role
Build, automate, secure, monitor, and operate scalable AWS-based big data platforms. Develop infrastructure as code, DevSecOps controls, CI/CD pipelines, security scanning, IAM configurations, automation scripts, and operational documentation. Troubleshoot performance, reliability, security, scalability, and cost issues while supporting AWS data services including S3, EMR, Glue, Redshift, Kinesis, and Lambda. Collaborate with stakeholders, security, infrastructure, data engineering, and delivery teams to implement compliant cloud solutions and communicate technical concepts clearly.
Summary Generated by Built In
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.
- 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.
- 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.
Skills Required
- Bachelor’s degree or higher 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 platform
- Experience applying DevSecOps practices, including CI/CD, security scanning, least-privilege IAM, 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 for explaining technical concepts to clients and stakeholders
- Ability to collaborate effectively across client, security, infrastructure, data engineering, and delivery teams
- Ability to work independently and contribute effectively in a collaborative environment
- U.S. citizenship
- Willingness and ability to undergo a background investigation for Public Trust clearance or suitability determination
- Experience working in FedRAMP, Public Trust, federal government, or other regulated cloud environments
- Experience supporting production AWS data platforms focused on performance, scalability, security, reliability, and cost optimization
- Experience working directly with clients, stakeholders, and cross-functional technical teams
- Ability to communicate cloud, data platform, security, compliance, and DevSecOps concepts to technical and non-technical audiences
- Experience developing technical documentation, architecture diagrams, implementation plans, operational procedures, and runbooks
- Familiarity with compliance guardrails, data governance, IAM, security controls, cloud risk management, or secure-by-design practices
- Experience estimating, planning, and communicating implementation approaches, tradeoffs, risks, and timelines
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Elevate your business with Omniscius, where cutting-edge Business Intelligence meets exceptional Talent Acquisition. We specialize in empowering teams with custom training, offering strategic staffing solutions, and crafting unique talent acquisition strategies. Our focus on Federal Contracting and a robust partner ecosystem ensures your business stays ahead in government contracting and recruitment. Let us optimize your talent acquisition with our expertise and turn your challenges into opportunities. Discover the Omniscius advantage and transform your business landscape today
