Senior Applications Engineer

Credence•Tysons, VA

13h•Onsite

About The Position

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.

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

Nice To Haves

AWS Certified Machine Learning – Specialty
CompTIA Security+ ce
AWS Certified Solutions Architect
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

Responsibilities

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