AWS DevOps Engineer
AST SpaceMobile
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Design, deploy, and operate AWS infrastructure supporting data lakes and containerized workloads.
- Implement Infrastructure-as-Code using Terraform, CloudFormation, or similar tools.
- Establish secure, scalable, and highly available AWS architectures following cloud best practices.
- Collaborate with application and data engineering teams to translate requirements into reliable platform solutions.
- Build and manage AWS-based data lakes using services such as S3, Glue, Athena, EMR, Redshift, and Lake Formation.
- Support ingestion, transformation, storage, and access for structured and unstructured datasets.
- Implement data lifecycle management, tiering, and cost optimization strategies.
- Ensure data platforms meet required security, compliance, and governance standards.
- Deploy, manage, and operate containerized applications on Amazon EKS.
- Build and maintain container images, registries, and deployment pipelines.
- Manage Kubernetes clusters including upgrades, scaling, networking, and security.
- Partner with developers to improve application reliability, performance, and deployment consistency.
- Design, implement, and maintain CI/CD pipelines for data and application workloads.
- Automate infrastructure provisioning, application deployment, and operational tasks.
- Implement monitoring, logging, and alerting for AWS services, data pipelines, and Kubernetes workloads.
- Participate in incident response, root cause analysis, and continuous improvement initiatives.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.
- A minimum of 5+ years in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure roles focused on AWS.
- Strong hands-on experience with AWS data services (S3, Glue, Athena, EMR, Redshift, or similar).
- Experience running containerized applications, ideally on Amazon EKS.
- Proficiency with Infrastructure-as-Code and automation tools such as Terraform or CloudFormation.
- Strong Linux systems knowledge and scripting experience (Bash, Python, etc.).
- Solid understanding of AWS networking, security, IAM, and operational best practices.
- Experience with large-scale or enterprise data platforms.
- Experience operating Kubernetes in production environments.
- Familiarity with distributed systems and API-based integrations.
- Experience with monitoring, observability, and logging tools (e.g., CloudWatch, Prometheus, Grafana, ELK).
- Experience designing cost‑optimized cloud architectures.
- Knowledge of data engineering workflows or analytics platforms.
- Strong interpersonal skills and ability to collaborate across technical and non‑technical teams.
- Proven ability to work effectively within cross-functional, fast‑paced environments.
- Excellent written and verbal communication skills.
- Meticulous attention to detail to ensure accuracy of documentation, automation scripts, and deployments.
- Strong problem-solving abilities and willingness to take ownership of issues.
- Ability to manage multiple priorities while maintaining high quality and reliability standards.
Benefits
- Ability to participate in on-call rotations or off-hours support as required by operational needs.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWSTerraformCloudFormationS3GlueAthenaEMRRedshiftKubernetesCI/CD
Soft Skills
interpersonal skillscollaborationproblem-solvingattention to detailcommunicationownershipadaptabilitytime managementcross-functional teamworkfast-paced environment