Position: Cloud Developer

Location: Melbourne, FL (Patrick SFB)

Make an Impact with Leidos

At Leidos, we deliver innovative solutions through the dedication of our diverse and talented teams. United by a shared commitment to our customers’ success, we empower our people, support our communities, and operate sustainably. Our Mission, Vision, and Values guide every aspect of our work, ensuring we do the right thing—for our customers, our people, and the world around us.

Thrive in an Impactful Environment

The Leidos Defense Sector offers a broad portfolio of systems, solutions, and services across land, sea, air, space, and cyberspace. We support critical defense missions with capabilities in enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence operations. Our teams tackle the world’s toughest security challenges for customers with “can’t fail” missions.

Leidos Defense Sector is seeking an Cloud Developer to join our engineering team to design, build, and maintain scalable cloud-native solutions. The ideal candidate combines strong serverless development skills (Lambda, API Gateway, Step Functions), hands-on data engineering experience (ETL/ELT, streaming, data lakes), and expertise with XML transformation tools. This role partners with product, and data teams to deliver reliable, performant systems to mobilize trusted data for customer services.

Primary Responsibilities:

• Design, develop, and deploy cloud‑native applications and microservices on AWS using serverless and container‑based architectures

• Implement, maintain, and optimize XML transformation workflows using tools such as XSLT, Apache DFDL, Saxon, or Altova MapForce

• Build and maintain data ingestion, transformation, and storage pipelines (batch and streaming) to support analytics and ML workloads

• Develop APIs and backend services using serverless frameworks (Lambda, API Gateway) and event‑driven architectures (SNS, SQS, EventBridge, Kinesis)

• Collaborate with data engineers to model, optimize, and operationalize data workflows across S3, Glue, Redshift, Snowflake, and related platforms

• Automate infrastructure provisioning and deployments using IaC tools (CloudFormation, Terraform, CDK) and CI/CD pipelines

• Monitor, troubleshoot, and optimize system performance, cost, and reliability; implement observability using CloudWatch, X‑Ray, Prometheus/Grafana

• Apply security best practices across the stack (IAM, KMS, VPC, encryption, least privilege) and ensure compliance with DoD security policies

• Produce and maintain documentation, runbooks, and code reviews; participate in post‑incident reviews

• Support on‑call rotation and occasional after‑hours work as needed

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related disciple with 4 years of relevant experience. Additional experience, training, or certifications may substitute for degree

• U.S. citizen; Currently possessing an Active DoD Top Secret clearance and eligibility for Top Secret/SCI

• IAT Level II certification (e.g., CompTIA Security ) or ability to earn within 6 months of hire

• 2 years of hands‑on AWS experience (Lambda, API Gateway, S3, IAM, RDS/DynamoDB, VPC, CloudWatch)

• Strong programming skills in at least one serverless‑friendly language (Python, Node.js/TypeScript, Java, or Go)

• Experience building data pipelines and working with data stores (S3, Redshift, DynamoDB, RDS)

• Familiarity with IaC tools (Terraform, CloudFormation, CDK) and CI/CD pipelines

• Hands on experience with code repositories such as Git, GitLab, GitHub

• Knowledge of RESTful API design, event‑driven architectures, and asynchronous processing

• Experience with observability and troubleshooting in production environments

Preferred Qualifications:

• Experience with streaming technologies (Kinesis, Kafka, Glue Streaming)

• Hands‑on experience with Apache NiFi, including custom processors, flow versioning, and integration with Kafka, HDFS/S3, and downstream ETL systems

• Familiarity with serverless orchestration (Step Functions) and workflow automation

• AWS certifications (Developer, Solutions Architect, or Data Analytics)

• Experience with containerization and orchestration (Docker, EKS)

• Strong understanding of security and compliance controls for cloud data systems

• Experience with AI tooling such as Bedrock, SageMaker, Q, etc.

• Experience with Hashicorp

• Excellent communication skills and ability to work cross‑functionally

Ready to make an impact? Start your meaningful career journey with Leidos—submit your resume today!

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.