Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We’ve been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges.
Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems (DAAS), AI/ML program.
The Senior Applications Engineer analyzes and studies complex system requirements and leads the design and implementation of software tools and subsystems that support software reuse and domain analyses. This is a hands-on role that pairs deep applications engineering with front-end UI/UX development: you will be handed real enterprise applications with real user friction, and part of your mandate is to diagnose why users aren’t engaging and rebuild experiences — interfaces, dashboards, and data visualizations surfacing AI/ML outputs — that they actually want to use. You will manage software development and support efforts using formal specifications, data flow diagrams, and other accepted design techniques and Computer-Aided Software Engineering (CASE) tools, while providing reliable cost and schedule estimates to program leadership. To succeed in this role, you should combine deep hands-on engineering expertise with modern front-end skills, the ability to guide development teams, improve existing systems, and enforce disciplined configuration management practices in support of DAAS AI/ML modernization efforts.
Responsibilities include, but are not limited to the duties listed below
- Analyzing and studying complex system requirements to inform software design and implementation decisions
- Designing software tools and subsystems to support software reuse and domain analyses, and managing their implementation
- Managing software development and support using formal specifications, data flow diagrams, other accepted design techniques, and Computer-Aided Software Engineering (CASE) tools
- Estimating software development costs and schedule, and communicating estimates and risks to program and project leadership
- Reviewing existing programs and assisting in making refinements, reducing operating time, and improving current techniques
- Supervising software configuration management, including version control, change control, and release integrity across the development lifecycle
- Developing machine learning models in support of various use cases, including:
- Transaction Anomalies
- Inventory Reconciliation
- Supply Chain Decisions
- Audit Readiness
- Content Intelligence
- AIOps
- Fraud & Threat Detection
- Entity Resolution
- Recommendation Engines
- Generative AI
- Architecting and building performant, responsive, accessible (WCAG 2.1 AA) user interfaces using React/Next.js with TypeScript, HTML5, and CSS3
- Auditing existing applications to identify user adoption barriers through heuristic analysis, user research, and behavioral data, and translating insights into measurable improvements in engagement and task completion
- Designing and building interactive dashboards and data visualization layers (D3.js, Chart.js, or similar) that surface AI/ML outputs, analytics, and operational metrics to end users
- Developing reusable component libraries and design systems that scale across multiple products
- Leveraging AI coding assistants (e.g., GitHub Copilot, Cursor) as a productivity multiplier within disciplined, secure development workflows
- Contributing to code reviews, CI/CD pipelines (Jenkins, Git), artifact and dependency governance (Sonatype Nexus), and agile ceremonies (JIRA)
- Collaborating with cross-functional teams, developers, analysts, and stakeholders to deliver software solutions that meet or exceed client expectations
- Documenting and communicating the results of your efforts
- Related duties or special projects as assigned
Requirements
- US citizen with the ability to obtain a security clearance is required
- BA/BS in a technical discipline from an accredited university
- At least ten (10) years of applicable experience in applications engineering, software development, or a related discipline
- Demonstrated experience analyzing complex system requirements and designing software tools and subsystems
- Experience managing software development efforts using formal specifications, data flow diagrams, and other accepted design techniques and CASE tools
- Demonstrated ability to estimate software development costs and schedules
- Experience with software configuration management tools, systems, and processes
- Demonstrated experience developing and deploying machine learning models in operational or production environments
- Experience engineering AI-driven anomaly detection models (e.g., time-series forecasting approaches such as Prophet) to monitor API traffic or system telemetry
- 5+ years of hands-on experience in UI/UX design and front-end development, with a portfolio demonstrating measurable impact on user experience
- Proven track record of improving adoption or usability on complex enterprise or government applications — fixing existing products, not just building new ones
- Expert-level proficiency in React, Next.js, TypeScript, and HTML/CSS, with deep familiarity with WCAG 2.1 accessibility standards
- Experience with data visualization libraries (D3.js, Chart.js, Recharts, or similar) and a solid understanding of UX research methods (usability testing, journey mapping, heuristic evaluation)
- Proficiency with Git, JIRA, Jenkins, and Sonatype Nexus for artifact management, dependency governance, and secure software supply chain practices
- Languages: Python, Golang, C++, C, SQL, Java
- Cloud & Big Data: AWS (CLI, EC2, S3), Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure
- Machine Learning & Analytics: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau
- Tools/Frameworks: Git, GitHub, Flask, NodeJS, ReactJS, Next.js, TypeScript, D3.js, Chart.js, Recharts, REST API, Django, Docker, Kubernetes, Terraform, Jenkins, JIRA, Sonatype Nexus, GitHub Copilot/Cursor
- AWS Certified Machine Learning – Specialty
- CompTIA Security+ ce
- AWS Certified Solutions Architect
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Free Food & Snacks
- Wellness Resources
- Stock Option Plan
Skills Required
- US citizen with ability to obtain a security clearance
- BA/BS in a technical discipline
- At least 10 years applicable experience in applications engineering or software development
- Experience analyzing complex system requirements and designing software tools/subsystems
- Experience managing software development using formal specifications, data flow diagrams, and CASE tools
- Demonstrated ability to estimate software development costs and schedules
- Experience with software configuration management, version/change control, and release integrity
- Experience developing and deploying machine learning models in operational/production environments
- Experience engineering AI-driven anomaly detection models (e.g., time-series forecasting such as Prophet)
- 5+ years hands-on UI/UX design and front-end development with measurable impact
- Proven track record improving adoption/usability of complex enterprise or government applications
- Expert-level proficiency in React, Next.js, TypeScript, HTML/CSS and familiarity with WCAG 2.1 AA
- Experience with data visualization libraries (D3.js, Chart.js, Recharts or similar) and UX research methods
- Proficiency with Git, JIRA, Jenkins, Sonatype Nexus, CI/CD and secure software supply chain practices
- Python, Golang, C++, C, SQL, Java (desired)
- Cloud & Big Data: AWS (CLI, EC2, S3), Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure (desired)
- ML & analytics tools: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau (desired)
- Frameworks/tools: Flask, NodeJS, Django, Docker, Kubernetes, Terraform (desired)
- Familiarity with AI coding assistants (GitHub Copilot, Cursor) in secure workflows (desired)
- Desired certifications: AWS Certified Machine Learning - Specialty, CompTIA Security+ ce, AWS Certified Solutions Architect
Credence Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Credence and has not been reviewed or approved by Credence.
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Fair & Transparent Compensation — Pay is considered competitive or better than average across many roles, with multiple examples describing excellent pay and competitive salaries. Additional cash elements such as bonuses appear alongside base pay.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, supported by HSAs/FSAs and a TRICARE supplement. Employer-paid life and disability coverage further strengthen the protection package.
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Leave & Time Off Breadth — Time off includes flexible PTO and a broad holiday schedule aligned to federal holidays. Additional leave types such as military and bereavement leave are available.
Credence Insights
What We Do
Credence provides innovative technology, health, international development, engineering, and management solutions to support mission-critical programs for Federal government customers. We are one of the nation’s largest privately held government contractors. Our ability to perform exceptionally to implement new solutions, efficiencies, and savings across 220 U.S. Government programs is due to our obsession with exceeding customer expectations and our emphasis on employee wellbeing—best exemplified by our corporate philosophy: “One Measure of Success. Yours.” WHY WORK WITH CREDENCE? We are consistently rated as a Top Workplace and are proud to be one of the fastest growing privately held firms in the U.S. over the last decade. Credence treats each customer, teaming partner, and employee as a trusted partner whom we serve. We ensure successful outcomes by focusing on the measure of success that we consider to be most important—Yours. WHY WORK FOR CREDENCE? We are a diverse, enthusiastic team of professionals who are dedicated to providing exceptional service to our customers. Our culture is focused on employee empowerment, recognition, and reward, and each person is encouraged to take initiative and strive to reach their greatest potential. HOW CREDENCE GIVES BACK: We believe in giving back to the communities in which we live and work through corporate charitable events, support for employee volunteering, and a 100% corporate match for employee charitable giving.
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