AWS DevOps Engineer

AST SpaceMobile

16h

About The Position

AST SpaceMobile 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 DevOps 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, DevOps 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.

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.
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.
Ability to work in a standard office environment.
Ability to use a computer for extended periods to support development, operations, and incident response activities.
Ability to participate in on‑call rotations or off-hours support as required by operational needs.

Nice To Haves

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.

Responsibilities

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.