Title:  Senior Specialist, Software Engineer

Job Title: AWS Development Engineer 4

Job Code 42406

Job Location: Tulsa, OK

Schedule: 9/80 employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

About L3Harris Technologies:

L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries.

Job Description
We are seeking a highly motivated AWS Development Engineer to design, build, deploy, and support scalable cloud-based applications and infrastructure on Amazon Web Services (AWS). The ideal candidate will have strong experience in cloud-native development, infrastructure automation, CI/CD pipelines, and modern software engineering practices. This role will work closely with software developers, DevOps engineers, security teams, and product stakeholders to deliver reliable and secure cloud solutions.

Essential Functions

• Design, develop, and maintain scalable applications and services on AWS.
• Build and manage cloud infrastructure using Infrastructure as Code tools such as CloudFormation or Terraform.
• Develop and optimize CI/CD pipelines for automated build, test, and deployment processes as they are related to cloud deployments. Will work with the existing DevOps and MLOps team to mature our cloud workflows.
• Implement monitoring, logging, and alerting solutions to ensure system reliability and performance.
• Collaborate with cross-functional teams to define cloud architecture and best practices.
• Ensure security, compliance, and governance standards are integrated into AWS solutions.
• Troubleshoot and resolve issues related to application deployment, cloud infrastructure, and system performance.
• Support containerized workloads using Docker and orchestration platforms such as Kubernetes or ECS.
• Participate in code reviews, architectural discussions, and technical planning sessions.
• Continuously evaluate and adopt new AWS services and cloud engineering practices.

Qualifications

• Bachelor's degree in computer science, Software Engineering, Information Technology, or related field, or equivalent practical experience.
• 5+ years of experience in software development, cloud engineering, or DevOps-related roles.
• Proficiency in at least one programming language such as Python, Java, C#, JavaScript, or Go.
• Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
• Experience building and maintaining CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins CI, or AWS Code Pipeline.
• Strong understanding of Linux/Unix systems, networking, and cloud security best practices.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Strong problem-solving, troubleshooting, and communication skills.
• Ability to obtain and maintain a Department of Defense security clearance.

Preferred Additional Skills

• AWS certification such as AWS Certified Developer, Solutions Architect, or DevOps Engineer.
• Hands-on experience with AWS services such as EC2, S3, Lambda, RDS, IAM, VPC, CloudWatch, ECS/EKS, API Gateway, and Route 53.
• Experience with serverless architectures and event-driven design.
• Knowledge of microservices architecture and distributed systems.
• Full-stack development experience.
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or Datadog.
• Experience working in Agile/Scrum development environments.
• Understanding of cost optimization and performance tuning in AWS environments.

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