Leidos

Software Engineer

• Support the design, development, and maintenance of Splunk dashboards, alerts, reports, and data visualizations.
• Assist in building executive-level visualizations for mission, service, and network health visibility.
• Support network operations and SRE teams by developing KPIs, service views, and performance insights.
• Assist with Splunk IT Service Intelligence (ITSI) service modeling, glass tables, and KPI tuning under guidance from senior staff.
• Help onboard and normalize data sources from network, infrastructure, and application monitoring tools.
• Develop and refine SPL queries to support troubleshooting, correlation, and reporting use cases.
• Support Episode Review workflows and triage activities by validating alerts and service relationships.
• Participate in requirements discussions with engineering, operations, and leadership stakeholders.
• Assist with documentation of dashboards, service models, KPIs, and operational workflows.

Splunk Developer

Data Scientist

• Build and operationalize models for anomaly detection, forecasting, early incident warning, performance regression detection, saturation/capacity risk, and service health scoring.
• Correlate logs/metrics/traces/events with topology, deployment, change, and business signals to identify drivers of degradation and reduce time-to-diagnosis.
• Prototype and advance agentic workflows that assist with triage, signal enrichment, event clustering, summarization, and guided next-best-action recommendations.
• Use and extend enterprise observability platforms (Splunk, Datadog, Cribl, SolarWinds, Langfuse) to extract signals, engineer features, validate hypotheses, and operationalize outcomes.
• Define data quality checks, feature pipelines, and scalable methods for working with high-volume telemetry (batch and/or streaming), partnering with platform teams as needed.
• Establish model performance measures aligned to operational goals (noise reduction, precision/recall of detections, lead time to failure, MTTR improvements); monitor drift and iterate.
• Communicate findings to technical and non-technical stakeholders with clear recommendations, tradeoffs, and measurable results.
• Ensure solutions align with Leidos standards for security, privacy, governance, and responsible AI practices.

Lead Observability Data Scientist

Customer Support

• Provide excellent customer service, answering a variety of calls and emails from the lending industry and the public on FHA guidelines and procedures
• Use your knowledge of the mortgage industry to locate answers in a knowledge database to acknowledge the client’s requests
• Follow standard operating procedures for various topics, systems, and contact channels
• Document all of your contacts in a database
• Keep up to date on FHA mortgage processes and procedures

Mortgage Origination – Customer Service Representative

• Lead design, development, and enhancement of custom Splunk dashboards, analytics, alerts, and ITSI capabilities
• Architect complex SPL, correlation logic, and data models to support operational insights and executive decision making
• Design and implement ITSI services, KPIs, glass tables, health scoring, and Episode Review workflows
• Guide and mentor junior Splunk developers and analysts
• Serve as technical SME for network operations, SRE, and reliability monitoring use cases
• Lead troubleshooting and performance tuning for dashboards, ingestion pipelines, and SPL optimization
• Oversee onboarding and normalization of new data sources across infrastructure, application, and network telemetry
• Partner with stakeholders to translate mission needs into backlog items and technical solutions
• Support Agile ceremonies and delivery planning within a Scaled Agile (SAFe) framework
• Manage work tracking and delivery using Azure DevOps (ADO) or Jira
• Develop documentation, technical standards, and best practices for Splunk and ITSI implementations

Senior Splunk Developer

Solutions Engineer

• The Solution Architect is responsible for designing, documenting, and transitioning technical approaches, capabilities, solutions, and services into the enterprise deliverable offerings through a defined Service Catalog
• Develop and document end-to-end technical solution documentation for mission drivers and tailor existing solutions to meet customer requirements
• Transition of approved mission drivers into the Service Catalog for enterprise delivery
• Define service tiers, SLAs, and KPIs for cataloged services
• Evaluate technical feasibility and ensure designs align with scalability, cybersecurity, and compliance requirements
• Define mission driver standards and best practices to ensure consistency across solutions and implementations
• Lead and drive technical discussions to understand, define and document mission driver description, use cases and concept of operations
• Create detailed Work Breakdown Structures (WBS) outlining development, deployment, and sustainment phases of technical capabilities and solutions
• Develop Basis of Estimate (BOE) documents for cost, labor, and material forecasting
• Support costing efforts with technical inputs and justifications that align to a deployment & sustainment plan
• Prepare Bills of Material (BOM) that list hardware, software, and licensing components needed for implementation of mission driver capability and solutions
• Perform risk assessment and identify assumptions in support of early lifecycle planning and Business Case Assessment (BCA)
• Partner with engineering, delivery and operations teams to ensure mission drivers are deployable, documented and maintainable
• Support the development of transition-to-operations documentation and handoff packages

Solution Architect – Technical Product Solutioning

Technical Writer

• Draft, expand, refine, and edit technical documents tailored for various audiences
• Interact with technical team members for content development
• Standardize documentation where appropriate
• Provide project management services for assigned projects
• Establish and maintain necessary controls, oversight, documentation, and reporting functions

Full-stack Engineer

• Lead enterprise software architecture and design for DoW and DISA mission systems, including reference architecture, solution patterns, and technical standards.
• Partner with Task Order technical leadership to ensure implementation of software development best practices, standards, guidelines and drive consistency and best practices across business area.
• Drive innovation and industry trend awareness; Leading teams in DevOps & Agile best practices and mentor and guide technical teams, fostering innovation and excellence to improve quality, velocity, and operational outcomes.
• Collaborate with stakeholders to define system requirements and translate them into solutions to ensure the security, scalability, and sustainability of all systems; Translating system requirements into secure, scalable solutions.
• Evaluate and integrate new technologies into architectures supporting both mission and business driven outcomes.
• Partner with the CTO organization to drive innovation, create of roadmaps, and invigorate thought leadership within the customer domain.
• Maintain and forward-looking perspective on industry trends and emerging technologies.
• Work with Business Development teams by shaping technical strategies, solution architectures, and win themes for new opportunities and on-contract growth.
• Define development processes, target metrics, and best practices to enable repeatable delivery and effective knowledge transfer.
• Ensuring security best practices are integrated into the development lifecycle, including compliance with data protection regulations.
• Deliver executive-level technical briefings to customer and internal leadership, communicating architecture decisions, risks, tradeoffs, and progress.

Chief Software Engineer

Learning and Development

• Develop, update, and deliver training content for call center, customer service and triage operations
• Provide training both on the job and through structured virtual training sessions
• Collaborate with subject matter experts and leadership to ensure accuracy and relevance of all training materials
• Provide input to Computer-Based Training (CBT) modules
• Develop job aids, quick-reference guides, and other support tools
• Track all program personnel’s required certifications
• Maintain accurate records of all staff training completion
• Monitor training frequency requirements
• Generate and distribute training compliance reports to leadership
• Identify training needs based on quality review outcomes
• Coordinate training schedules to minimize service disruption

Training Specialist

Product Designer

• Derive business processes, analyze user needs, assist in requirements definition, design browser-based interfaces, and design and conduct usability testing
• Elicit business goals and user needs from stakeholders
• Facilitate customer discovery sessions
• Create Conceptual Models, Journey Maps, Personas and Scenarios of Use
• Create and refine screen prototypes
• Document user requirements, screen designs, and design recommendations

UI/UX Specialist

• Maintain legacy systems and learn about future development systems using existing software practices
• Collaborate with cross-functional teams to integrate adaptation solutions into the ERAM system
• Ensure the seamless integration and functionality of air traffic management systems
• Manage system configurations and ensure accurate documentation of adaptation changes
• Conduct testing and validation of adaptation solutions to ensure reliability

Supply Chain

• Research, analyze, and resolve inventory discrepancies, variances and adjustments
• Review inventory transactions and cycle count results to ensure system accuracy
• Partner with warehouse teams, third-party logistics providers (3PLs), Procurement, and Planning to resolve inventory issues
• Support inbound, outbound, in-transit, and quarantine inventory processes across locations
• Maintain accurate inventory records, support audits and physical inventories, and contribute to process improvement

Service Chain Inventory Control Specialist

Senior UI/UX Specialist

AI Engineer

• Collaborate with Agentic AI Scientists to build and deploy AI agents
• Automate and optimize labor-intensive workflows
• Empower the human workforce to discover entirely new capabilities
• Write software code to support AI agent communication
• Connect models and agents to external services via API calls
• Support testing and debugging tasks
• Deploy into target environments, set up monitoring, and ensure reliable execution of agentic AI systems
• Develop novel approaches to securing agentic workflows and evaluating results for accuracy, performance, and impact

Senior AI Engineer

Machine Learning Engineer

• Lead the secure design, training, and deployment of a wide range of AI/ML models, ensuring they meet stringent performance, scalability, and security requirements for mission-critical applications.
• Architect and manage secure automated MLOps pipelines for model monitoring, retraining, and lifecycle management to ensure continuous delivery and operational reliability.
• Drive the optimization of model performance, scalability, and resource consumption in production cloud and on-premise environments.
• Collaborate closely with data scientists, software engineers, and systems architects to translate model prototypes into hardened, production-grade solutions.
• Champion software engineering best practices, including robust version control, comprehensive automated testing, and mature CI/CD processes.
• Provide expert guidance and mentorship to other engineers on MLOps, software development, and operational best practices.
• Stay current with industry trends in MLOps and operational AI to continuously evolve the team's capabilities and technical strategy.

Principal AI/ML Engineer

• Design, train, and deploy a wide range of AI/ML models for mission-critical applications, ensuring they meet performance and scalability requirements.
• Implement and manage automated MLOps pipelines for model monitoring, retraining, and lifecycle management to ensure continuous delivery and reliability.
• Optimize model performance, scalability, and resource consumption in production cloud and on-premise environments.
• Collaborate with data scientists, software engineers, and systems architects to translate model prototypes into hardened, production-grade solutions.
• Uphold software engineering best practices, including robust version control, comprehensive testing, and CI/CD processes.
• Stay current with industry trends and best practices in MLOps and operational AI to continuously improve the team's capabilities.