Peraton is seeking an experienced and proactive Cloud DevOps Engineer to join our dynamic team. This fully remote position involves managing and optimizing AWS cloud infrastructure through tasks such as incident management, ticket resolution, automation of operational tasks using scripting languages, and configuration management using tools like CloudFormation, Terraform, and Ansible.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Participate in root cause analysis of system incidents.
Respond to and resolve tickets in the operations support queue in a timely and efficient manner, ensuring issues are tracked, documented, and closed according to SLAs.
Use tools such as AWS CloudFormation, GitLab and GitLab Runners to respond to support requests to manage and maintain AWS infrastructure, including EC2, RDS, S3, ELB, VPC, IAM Roles and Policies, Security Groups and related services.
Automate routine operational tasks to improve system reliability, security monitoring and configuration management using AWS step functions, lambda functions, SSM documents, AWS EventBridge, SNS, SQS using scripting languages such as python, bash and powershell.
Implement configuration management solutions (e.g., Ansible, Chef, or AWS Systems Manager).
Lead design, development, and maintenance of secure RESTful APIs and Java-based microservices on AWS cloud, ensuring high availability, scalability, and cost efficiency.
Compensation
Pay Rate: $45-$50/hr on W2/C2C
Responsibilities
Design, develop, test, and maintain secure RESTful APIs and Java-based microservices using Java 11/17, Spring Boot, and Spring Cloud
Define API contracts and reusable standards using Swagger/OpenAPI
Lead technical design, code reviews, and engineering standards across delivery teams
Build cloud-native solutions using AWS API Gateway, Lambda, EC2, ECS, EKS, S3, RDS, IAM, CloudWatch, SQS, and SNS
Create and maintain Infrastructure as Code using Terraform and CloudFormation
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
Data Analytics Engineer II responsible for building, maintaining, and improving data pipelines, models, and analytics products for BAE Systems' Digital Architecture Team.
Responsibilities
Collaborate with engineers, analysts, and stakeholders to understand data needs and define clear analytics requirements.
Build, maintain, and troubleshoot data pipelines and transformations that produce reliable, analytics‑ready data.
Develop and maintain data models, schemas, metric definitions, and documentation for reporting and analysis.
Implement data validation and quality checks, investigate anomalies, and communicate issues and recommended actions.
Integrate data from APIs, operational systems, data lakes, and data warehouses while maintaining appropriate data governance.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
Nice to have: Experience using GitLab and CI/CD pipelines
Nice to have: Proficiency in SQL and Python
Nice to have: Experience with APIs, data lakes, and data warehouses
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