AWS DevOps Engineer at AST SpaceMobile

, , United States -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, DevOps, Data Lake, Containerization, Amazon EKS, CI/CD, Terraform, CloudFormation, S3, Glue, Athena, EMR, Redshift, Lake Formation, Kubernetes, Python

Industry

Telecommunications

Description

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. Key Responsibilities AWS Infrastructure & DevOps 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. 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 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. 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., CloudWatch, 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 willingness to take ownership of issues. Ability to manage multiple priorities while maintaining high quality and reliability standards. Technology Stack AWS services: S3, Glue, Athena, EMR, Redshift, Lake Formation, IAM, VPC, EC2, Lambda, CloudWatch. Container orchestration: Amazon EKS, Kubernetes, Docker. IaC and automation: Terraform, CloudFormation, Ansible. CI/CD tools: GitHub Actions, GitLab CI, Jenkins, or similar. Scripting: Python, Bash. Monitoring & Logging: CloudWatch, Prometheus, Grafana, ELK/Opensearch. Version control: Git. Physical Requirements 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. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Responsibilities

The engineer will design, deploy, and operate AWS infrastructure for data lakes and containerized workloads, implementing Infrastructure-as-Code and ensuring secure, scalable architectures. Key duties also involve building and managing AWS data lakes using services like S3 and Glue, and deploying/operating applications on Amazon EKS.