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AWS DevOps Engineer

Job in Lanham, Prince George's County, Maryland, 20706, USA
Listing for: AST SpaceMobile
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Cloud Computing, SRE/Site Reliability, Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

AST Space Mobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

Position Overview

We are seeking an experienced AWS Dev Ops Engineer to design, build, and operate large-scale data lake platforms and containerized applications in AWS. This role focuses on enabling reliable, secure, and scalable data and application platforms by combining cloud infrastructure engineering, Dev Ops automation, and operational excellence. The ideal candidate has hands‑on expertise with AWS-native data services, Amazon EKS, CI/CD pipelines, and automation frameworks, and works closely with data engineering, application, and analytics teams to ensure platforms are production‑ready, observable, and cost‑efficient.

AWS

Infrastructure & Dev Ops
  • Design, deploy, and operate AWS infrastructure supporting data lakes and containerized workloads.
  • Implement Infrastructure-as-Code using Terraform, Cloud Formation, 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.
Data Lake Platform Operations
  • 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.
Containerized Applications
  • 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.
CI/CD, Automation & Reliability
  • 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.
Qualifications Education

Bachelor’s degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.

Experience
  • A minimum of 5+ years in Dev Ops, 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 Cloud Formation.
  • Strong Linux systems knowledge and scripting experience (Bash, Python, etc.).
  • Solid understanding of AWS networking, security, IAM, and operational best practices.
Preferred Qualifications
  • 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., Cloud Watch, Prometheus, Grafana, ELK).
  • Experience designing cost‑optimized cloud architectures.
  • Knowledge of data engineering workflows or analytics platforms.
Soft Skills
  • 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…
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