EEOC

Full-stack Engineer

• Resolve a problem with a complete end-to-end solution in a fast, agile environment
• Develop software and systems from vision to production-ready
• Use passion to master new tools and techniques
• Identify needed system improvements
• Help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies
• Ensure the solution developed considers the current architecture and operating environment, as well as future functionality and enhancements
• Participate in shaping systems for the better

Full Stack Software Engineer – Lead

Sales

• Collaborate with thought leaders on projects for Foreign Military Sales (FMS) and Security Cooperation
• Research, develop, analyze, assess, plan, and support the Navy in expanding U.S. Security Cooperation objectives
• Bring in-depth understanding and expertise to one or more aspects of service or joint missions, processes, and culture
• Apply advanced skills, extensive technical expertise, and full industry knowledge
• Develop innovative solutions to complex problems
• Work without considerable direction while mentoring and supervising team members, as needed

Foreign Military Sales Analyst

• Resolve problems with end-to-end solutions in a fast, agile environment
• Develop software and systems from vision to production-ready
• Use passion to learn new tools and techniques
• Help clients overcome difficult challenges using architectural approaches, tools, and technologies
• Ensure developed solutions consider current architecture and operating environment

Software Engineer

Platform Engineer

• Serves as the primary owner and administrator for assigned data platforms.
• Architects, configures, and maintains applications to align with business and technical requirements.
• Establishes best practices for system administration, performance optimization, risk management, and security.
• Maintains a platform road map and works with leadership to prioritize enhancements and upgrades.
• Provides expert-level application and system support to internal teams and user communities.
• Diagnoses, troubleshoots, and resolves complex application issues; escalates to infrastructure support or vendor teams as necessary.
• Performs root cause analysis and implements preventative measures to ensure system reliability.
• Maintains ownership of all assigned issues through resolution and documentation.
• Designs and implements integrations between data platforms and other enterprise systems.
• Evaluates and enhances system architecture to meet changing business needs.
• Conducts performance monitoring and tuning, ensuring optimal uptime and resource utilization.
• Defines and tracks KPIs, SLAs, and other operational metrics in collaboration with stakeholders.
• Develops and deploys automation scripts and tools to improve efficiency and reduce manual workloads.
• Leads or participates in automation and optimization projects across the data platform ecosystem.
• Researches, evaluates, and recommends third-party applications that align with business objectives.
• Ensures successful installation, validation, and documentation of vendor-provided upgrades and patches.
• Monitors license usage, forecast needs, and manage compliance with licensing agreements.
• Provides metrics and budget recommendations during annual planning cycles.
• Develops and maintains comprehensive documentation, including policies, procedures, and configuration details.
• Delivers user training sessions and promote best practices to drive adoption and proficiency.
• Provides timely and accurate reporting on application of health, performance, and project status.
• Manages projects involving new functionality, integrations, and process automation.
• Supports the organization’s data security, privacy, and compliance initiatives.
• Implements and maintains security standards, access controls, and audit readiness.
• Ensures systems adhere to company policies and industry best practices.

Senior Data Platform Support Engineer

Backend Engineer

• Partners with software engineering, product, and architecture to shape engineering approaches, share knowledge and experience.
• Own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Responsible for department-wide design, patterns and code approaches.
• Reviews and validates effectiveness of code output from multiple teams.
• Accountable for resolving technical conflict within and between multiple teams.
• Drive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology strategy.
• Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
• Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change.
• Lead a broad functional area and direct efforts through the functional team members along with team’s overall planning.
• Collaborate and partner with product managers, designers, and other engineering groups to conceptualize, build new features and create product descriptions.
• Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
• Assist support and operations teams in identifying and quickly resolving production issues.
• Develop and implement tests for ensuring the quality, performance, and scalability of our application.
• Develop and mentor other engineers.
• May serve as a technical leader for cross-functional projects.
• Actively seeks out ways to improve engineering standards, tooling, and processes.

Senior Staff Engineer – Java, SpringBoot, AWS

• Own architectural design and technical patterns for cross-border money movement and digital asset settlement systems.
• Resolve complex technical and scalability challenges across distributed, regulated payment platforms.
• Mentor engineers and guide teams in building secure, resilient, and compliant global payment solutions.
• Partners with software engineering, product, and architecture to shape engineering approaches, share knowledge and experience.
• Own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Responsible for department-wide design, patterns and code approaches.
• Reviews and validates effectiveness of code output from multiple teams.
• Accountable for resolving technical conflict within and between multiple teams.
• Drive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology strategy.
• Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
• Lead a broad functional area and direct efforts through the functional team members along with team’s overall planning.
• Collaborate and partner with product managers, designers, and other engineering groups to conceptualize, build new features and create product descriptions.
• Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
• Assist support and operations teams in identifying and quickly resolving production issues.
• Develop and implement tests for ensuring the quality, performance, and scalability of our application.
• Develop and mentor other engineers.
• May serve as a technical leader for cross-functional projects.

Senior Staff Engineer – Digital Assets

Risk

• Embed ITAM controls within procurement, provisioning, deployment, transfer, and retirement workflows.
• Monitor adherence to lifecycle processes and intervene when deviations occur.
• Conduct recurring operational control reviews to ensure asset traceability and policy compliance.
• Ensure lifecycle transactions are accurately reflected in ITAM and CMDB systems.
• Partner with CMDB and platform owners to define and enforce data quality standards for configuration items (CIs).
• Establish reconciliation routines between asset records and corresponding CIs.
• Monitor and remediate data integrity issues including duplicate records, orphaned CIs, incomplete attributes, and ownership gaps.
• Define control checkpoints to ensure asset and CI records remain synchronized throughout the lifecycle.
• Validate correct CI class usage, service relationships, and ownership mappings within ServiceNow.
• Collaborate with Service Owners and ServiceNow platform teams to maintain accurate service-to-asset relationships.
• Support initiatives that improve service visibility, impact analysis accuracy, and operational resilience through clean service data.
• Translate enterprise ITAM and CMDB governance policies into operational procedures and job aids.
• Enforce standards across hardware, infrastructure assets, and end-user devices.
• Partner with operational leaders to remediate control gaps and institutionalize corrective actions.
• Oversee accuracy of ITAM and CMDB data across platforms (e.g., ServiceNow HAM and CMDB).
• Establish reconciliation between procurement systems, financial records, discovery tools, and asset repositories.
• Drive data quality initiatives to improve lifecycle transparency and service reliability.
• Support internal and external audits by providing evidence of asset lifecycle controls and CMDB data governance practices.
• Maintain documentation of control procedures and remediation tracking.
• Address audit findings related to asset accountability, configuration integrity, or service model compliance.
• Define and monitor KPIs including: Inventory and CI accuracy rates, Asset-to-CI reconciliation rates, CSDM alignment compliance, Data completeness and ownership coverage, Lifecycle transaction timeliness.
• Provide recurring governance reporting to IT and platform leadership.
• Identify systemic control weaknesses and implement sustainable process improvements.
• Work closely with IT Operations, Infrastructure, Client Computing, ServiceNow Platform Teams, Service Owners, Procurement, and Finance.
• Serve as escalation point for asset and CMDB governance issues.
• Promote accountability for data ownership and lifecycle accuracy across operational teams.

Senior IT Asset Management, Governance

Engineer

• Develop novel solutions for systems engineering data manipulation, translation, and visualization
• Create, integrate, and apply interdisciplinary digital models of products from concept throughout the product lifecycle
• Apply leading-edge principles, theories, and concepts
• Work on unusually complex problems and provide highly innovative solutions

Digital Engineer

• Resolve a problem with a complete end-to-end solution in a fast, agile environment
• Develop software and systems from vision to production-ready
• Use your passion to master new tools and techniques
• Identify needed system improvements
• Help clients overcome difficult challenges using the latest architectural approaches, tools, and technologies
• Ensure the solution developed considers current architecture and operating environment as well as future functionality and enhancements

.NET Software Engineer

DevOps Engineer

• Responsible for leading the day to day operations, roadmap and management of assigned production platforms ensuring best practices, quality and service levels are achieved.
• Provide exceptional leadership to a team of operations engineers and support analysts to develop a highly engaged, high performing team supporting a large, production Big Data environment.
• Work with software engineering to plan work pipeline and align resource availability with forthcoming releases.
• Provide input and non-functional requirements for new projects (technical requirements, constraints and resourcing needs).
• Monitor and adjust service level objectives for all managed applications to ensure external SLAs are met.
• Create a rolling resource forecasts (including skill needs) and manage against actual utilization, including identification of upcoming products and releases.
• Manage 2nd and 3rd level technical and functional support teams for customer facing applications.
• Manage an on-call support rotation and ensure 24/7 coverage.
• Manage Incident and Problem management processes as they relate to this group.
• Manage UAT and Performance testing functions.
• Maintain & adapt Policies and Procedures as they apply to the function carried out by this team.
• Participate in audits for all applications.
• Serve as point of contact for risk identification and mitigation.
• Ensure operational requirements are understood and incorporated in any new product design.
• Ensure Disaster Recovery readiness within department and ensure that the compilation of testing results is produced for consumption by senior management, audit, and clients.
• Support the company’s commitment to protect the integrity and confidentiality of systems and data.

Director, Release & Reliability Engineering

Data Engineer

• Define and own the target-state architecture for the enterprise data platform, including Lakehouse, streaming, batch processing, semantic layers, and AI/ML platform capabilities
• Establish and maintain a multi-year roadmap that balances scalability, resilience, regulatory compliance, and business value delivery
• Drive architectural standards, patterns, and reference implementations to enable consistent and reusable platform capabilities
• Lead the design, build, and operation of high-throughput, highly available data platforms supporting petabyte-scale workloads
• Ensure platform capabilities support real-time and batch ingestion, transformation, storage, and consumption across enterprise use cases
• Enable scalable support for analytics, reporting, data products, and machine learning lifecycle requirements
• Lead transformation from fragmented and siloed data environments to a unified, governed platform
• Drive adoption of platform services and reduce duplication across teams
• Establish enterprise standards for data quality, lineage, metadata, cataloging, observability, and lifecycle management
• Ensure platform design and operations meet security, privacy, and regulatory requirements, particularly for sensitive and PII data
• Partner with Security, Risk, and Compliance functions to align with enterprise governance frameworks (e.g., SOC 2 and related controls)
• Drive enterprise adoption of platform services and data product capabilities
• Build and lead high-performing platform engineering organizations, including senior leaders and architects
• Establish a culture of ownership, engineering excellence, and operational discipline
• Partner with Data Science, Product, Engineering, Security, Risk, and business stakeholders to align platform capabilities with enterprise priorities
• Enable use cases across analytics, AI/ML, product intelligence, and operational reporting

VP, Enterprise Data Platform

Technical Product Manager

• Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.
• Scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.
• Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience.
• Gather requirements for the Data Technology team on data processing and storage to facilitate a variety of model and analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.
• Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value.
• Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.
• Support the implementation, measurement, and activation of data-driven use cases.
• Support the integration of strong data governance, risk, and security controls.
• Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data.
• Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.
• Participate in defining RAG and LLM-based product capabilities.
• Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.
• Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.

Technical Product Manager – Data

ServiceNow

• design, implement, and maintain impactful programs by guiding Federal Government clients toward successful and scalable ServiceNow implementations
• organize and coordinate program objectives
• lead a team navigating requirements, budget constraints, and staffing challenges
• identify opportunities to grow the business by supporting client’s mission
• broaden expertise in problem management, strategic planning, reviewing contracts, etc.
• facilitate change and create impact while sharing knowledge and expertise of program management methodologies

Lead ServiceNow Program Manager

Machine Learning Engineer

• Conduct statistical analyses on business processes using ML techniques
• Train, test, deploy, and maintain ML models
• Lead the direction of critical solutions by applying best-fit ML algorithms
• Collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists
• Process data at massive scale
• Perform A/B testing tasks on ML models and integrated cloud systems
• Guide clients through ML algorithms, tools, and frameworks

Lead AI & ML Engineer

• resolve a problem with a complete end-to-end solution in a fast, agile environment
• develop software and create a system that will make a difference
• oversee a team as they learn new tools and techniques
• identify needed system improvements
• help clients overcome their most difficult challenges
• ensure solutions consider current architecture and operating environment, as well as future functionality and enhancements.