Leidos

DevOps Engineer

• Operate, maintain, and optimize cloud infrastructure environments (e.g., AWS, Azure, or GCP) supporting services
• Provide operational system administration and deployment support across AWS, Microsoft Azure, Google Cloud, Oracle Cloud, and private cloud platforms
• Configure, test, and implement COTS, FOSS, and custom capabilities within commercial and on-premises cloud environments
• Manage compute, storage, networking, and platform services across multi-enclave cloud environments
• Implement and maintain Infrastructure-as-Code (IaC) and automation for cloud provisioning and configuration management
• Support DevSecOps pipelines by enabling automated deployment, integration, and monitoring of cloud-based applications
• Monitor system performance, availability, and reliability; implement improvements to optimize operations
• Perform system administration tasks including patching, upgrades, configuration management, and troubleshooting
• Ensure compliance with NIST SP 800-53, RMF, STIGs, and DoD cybersecurity policies
• Support asset management, backup, disaster recovery, and continuity of operations (COOP) processes
• Identify and resolve operational issues impacting system performance, scalability, and availability
• Collaborate with DevSecOps, cybersecurity, data engineering, and software development teams to support integrated delivery
• Support incident response and operational troubleshooting activities
• Develop and maintain operational documentation, runbooks, and standard operating procedures
• Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives

Senior Cloud Operations Engineer

• Operate, maintain, and optimize cloud infrastructure environments (e.g., AWS, Azure, or GCP) supporting services.
• Provide operational system administration and deployment support across AWS, Microsoft Azure, Google Cloud, Oracle Cloud, and private cloud platforms.
• Configure, test, and implement COTS, FOSS, and custom capabilities within commercial and on-premises cloud environments.
• Manage compute, storage, networking, and platform services across multi-enclave cloud environments.
• Implement and maintain Infrastructure-as-Code (IaC) and automation for cloud provisioning and configuration management.
• Support DevSecOps pipelines by enabling automated deployment, integration, and monitoring of cloud-based applications.
• Monitor system performance, availability, and reliability; implement improvements to optimize operations.
• Perform system administration tasks including patching, upgrades, configuration management, and troubleshooting.
• Ensure compliance with NIST SP 800-53, RMF, STIGs, and DoD cybersecurity policies.
• Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.

Machine Learning Engineer

• Design, develop, and optimize AI and ML solutions to enhance operational and analytical capabilities within a larger enterprise level Data and AI analytics platform.
• Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, and inference.
• Train and tune algorithms to improve predictive accuracy and decision-support tasks.
• Integrate AI/ML models into production environments using APIs, microservices, and DevSecOps pipelines.
• Support development and maintenance of model serving infrastructure and scalable inference capabilities.
• Implement model monitoring, performance evaluation, and drift detection mechanisms.
• Optimize model performance, scalability, and efficiency for production workloads.
• Collaborate with data engineers, data scientists, software developers, and DevSecOps teams to ensure alignment with enterprise architecture and security requirements.
• Support secure development and deployment of AI/ML models in compliance with enterprise cybersecurity requirements.
• Contribute to development of AI/ML artifacts including documentation, testing frameworks, and model evaluation reports.
• Support integration with enterprise AI/ML platforms and external model providers (e.g., cloud-based AI services).
• Ensure compliance with cybersecurity policies and standards throughout the project lifecycle.
• Stay updated on industry trends and advancements in AI/ML technologies.
• Identify and resolve technical challenges related to model accuracy, scalability, and integration.
• Analyze system performance metrics and recommend improvements for efficiency and scalability.
• Identify and integrate appropriate COTS, government, and custom tools within established frameworks.
• Manage project timelines and deliverables, ensuring adherence to quality standards.
• Facilitate communication between technical teams and stakeholders to align project goals.
• Develop and implement best practices for model development and deployment.

Senior AI/ML Engineer

Full-stack Engineer

• Responsible for software development activities both individually and as a member of a SW team
• Actively participate in SW planning, statusing, and related team activities
• Analyze system requirements and apply appropriate design techniques and software engineering principles to develop code that is modifiable, efficient, reliable, understandable, fault tolerant, and reusable
• Leverage AI-assisted development tools (e.g., Roo Code, Claude, ChatGPT, or similar) to improve productivity in coding, debugging, test generation, and documentation
• Critically evaluate, test, and refine AI-generated outputs, demonstrating sound judgment in identifying inaccuracies, edge cases, and security or performance concerns
• Develop and iterate on effective prompting strategies and workflows to improve consistency and efficiency when using AI tools
• Contribute to team best practices for responsible and effective use of AI-assisted development, including code review considerations and documentation standards
• Troubleshoot and resolve moderately complex software issues, both independently and with team support
• Provide software process management and control throughout the development process and promote code reuse and cross-program collaboration to reduce maintenance costs

Software Developer

Financial Planning and Analysis

• Support the overall reporting of MOS program finances in the area of customer invoicing, sub-contractor tracking and reporting, travel, ODC spend, materials
• Overall responsibility for customer invoice generation, invoice back up, sub-contractor spend and approval
• As majority of work is Unit Price this will invoice tracking and monitoring of call volumes, counseling sessions, validation to multiple tracking systems
• Completes monthly progress reports
• Works independently on moderate to large projects
• Procurement pc monitoring
• Tracks Backlog and Equipment Loan Program
• Other duties as assigned

Project Financial Analyst Lead

• Support the Management of all financial aspects of the MOS program
• EAC responsibilities for MOS project, co-ordination with all areas of MOS finance team and MOS line management
• Support the MOS F&BO manager with independent and joint tasking and problem solving as required
• Responsible for supporting reporting of MFLC program finances to include financial service level agreements (SLA) labor forecast, progress against internal financial performance metrics
• Perform oversight from a financial perspective of proposal pricing including risk assessment and cash flow analysis
• Variance, unbilled analysis
• Revenue validation, instruction
• Supporting monthly financial reviews (Awards, Net Bookings, Revenue, Fee, Cash)
• Supporting Annual Operating Plan for business area and supporting the process through final presentations to senior management
• Supporting Estimate at complete process and presenting results
• Leading Ad-Hoc special requests from the program and finance management teams
• Interfaces directly with customer; participates in customer meetings
• Creates Monthly Operating Review and Quarterly Business Review charts
• Manages complex PFA tasks
• Completes monthly progress reports
• Works independently on moderate to large internal projects
• Backlog analysis
• Basis-Of-Estimate support for proposal effort
• Service center monitoring and forecasting
• Other duties as assigned

Principal Project Financial Analyst

• Support the overall tracking, reporting and management of MOS program travel and sub-contractors
• Submission of travel requests to the government for approval, ER reviews and approvals
• Pulling together the details related to invoicing and back up.
• Opening and closing travel and sub-contractor charge numbers.
• Tracking of missing expenses and month end accruals related to travel and sub-contractors.
• Work independently on moderate to large projects.
• Additional duties as required by program needs.

Project Financial Analyst

Engineer

• Act as a key contributor to the development substation protection and control design projects
• Lead, mentor and grow a diverse team of engineers, designers, and drafters
• Take complete ownership of each project, to include management of financials, resources, and design
• Liaison, lead, coordinate, and collaborate with external clients
• Continually improve and maximize quality
• Effectively and professionally communicate with our clients
• Contribute to the definition of design scope, philosophies, design methodologies

Lead Substation Protection and Controls Engineer

• Support design engineering efforts for electric utility projects, assisting with individual design tasks and quality control activities under guidance from senior engineers
• Assist in developing work packages for OH, UG, URD, Make Ready, and Street Light projects using customer GIS and Work Management systems
• Collaborate with engineers and design leads to address client needs, supporting scope, schedule, and quality objectives
• Participate in reviewing engineering design packages and contribute to planning, documentation, and customer follow-up activities
• Assist with scope analysis of assigned work and help maintain schedule adherence to support client priorities
• Continuously build technical knowledge of utility standards, design practices, and internal processes
• Contribute to continuous improvement initiatives that enhance workflow efficiency and support high-quality design deliverables
• Assist in coordinating with utilities and field engineering teams to support design requirements, helping develop design packages for cable/conduit projects in urban environments
• Support activities related to work permits, easements, and right-of-way (ROW) applications under guidance from senior team members
• Be comfortable in both a field and office setting: the role may require some customer-site visits to collect field data that will assist in developing work packages
• Be available for customer-facing activities and/or meetings on an as-needed basis (Job related travel will be reimbursed at IRS-approved rates)

Associate Distribution Engineer

Data Engineer

• Provide strategic technical leadership in data engineering, serving as the primary customer-facing expert on DISN network topology data to enable advanced data correlation and enrichment.
• Represent the team in high-level technical discussions and decision-making with internal and external stakeholders, influencing solution design and architecture.
• Architect, design, develop, document, test, and deploy complex software solutions using Python, JavaScript, Java, and SQL, ensuring scalability and maintainability.
• Lead the creation of advanced Kibana visualizations and dashboards, leveraging machine learning capabilities and React to deliver actionable insights.
• Oversee the design and implementation of robust data enrichment pipelines, integrating diverse data sources into Confluent (Kafka) and Elastic platforms.
• Direct the development and management of multi-site Kafka and Elastic clusters, including deployment, configuration, testing, troubleshooting, and maintenance to support mission-critical operations.
• Lead Kafka system integrations between Elasticsearch/Logstash and other enterprise systems.
• Guide Agile collaboration, leading scrum teams, mentoring junior engineers, and fostering a culture of continuous improvement and innovation.
• Communicate and collaborate effectively with geographically distributed teams to ensure alignment and successful completion of project objectives.
• Troubleshoot and resolve complex installation, infrastructure, and system issues; proactively report, monitor, and mitigate technical risks.
• Author, review, and maintain comprehensive technical documentation, including DoD requirements, interface documents, and security compliance artifacts.
• Ensure all solutions adhere to DoD security standards and guidelines, and provide oversight for platform sustainment and reliability, proactively addressing operational challenges.

Senior Data Engineering Specialist

SEO Marketing

• Maintain, support, and enhance enterprise search applications and indexing pipelines running on Solr, Spark, Flume, AWS OpenSearch, and Linux-based infrastructure.
• Perform operations and maintenance activities including patching, vulnerability management, system administration, monitoring, configuration management, and routine platform support.
• Troubleshoot and resolve indexing failures, data issues, query syntax problems, relevance issues, and search performance degradation.
• Monitor indexing jobs and platform health to ensure indexing SLAs and search/retrieval SLAs are consistently met.
• Fine-tune search configurations, analyzers, synonyms, ranking logic, and index structures to optimize search relevance, indexing throughput, and retrieval performance.
• Perform scheduled maintenance activities including weekly, monthly, and biannual data purges, index cleanup, retention-related tasks, and storage optimization.
• Support quarterly bulk indexing operations, including large-scale reloads, synonym refreshes, name normalization, and post-load validation.
• Work with source data stored in Microsoft SQL Server to investigate ingestion issues, validate upstream data quality, analyze indexing results, and review operational or search-related metrics captured after indexing.
• Use SQL to query source and operational data, investigate discrepancies, support troubleshooting, and validate indexing outcomes and SLA-related metrics.
• Use Azure Log Analytics and related monitoring tools to analyze logs, investigate failures, identify operational trends, and support root cause analysis for indexing, search, and data-processing issues.
• Maintain awareness of Java-based source-to-target data comparison and validation tools, review their findings regularly, and address data quality, synchronization, and accuracy issues between source systems and indexed search platforms.
• Investigate and resolve data ingestion, transformation, indexing, and retrieval issues across upstream and downstream systems.
• Build and improve automation, scripts, and support tooling that increases reliability, reduce operational overhead, and improve observability.
• Support modernization of legacy search capabilities toward AWS OpenSearch, semantic search, vector search, hybrid retrieval, and RAG-enabled solutions.
• Document procedures, runbooks, support processes, recurring maintenance activities, and operational findings, and collaborate with cross-functional teams to improve search quality and system stability.

Search Engineer

Infrastructure Engineer

• Help manage underlying infrastructure for a cloud-based Next-generation Continuous Integration/Continuous Deployment (CI/CD) pipeline.
• Work in a peer-to-peer environment placing a high value on collaboration and team success.
• Implementation, maintenance, and troubleshooting of a complex and diverse cloud environment.
• Providing Subject Matter Expertise for cloud Information Assurance on various implementations.
• Securing high-availability systems via industry/DOD standards and best practices.
• Configuring & securing Azure/AWS cloud resources for build, release & deployment pipelines.
• Supporting an enterprise CI/CD environment with multiple servers, operating systems and applications.
• Building and maintaining scripts for automation of tasks and server maintenance.

Senior Cloud Cybersecurity Infrastructure Engineer

QA Engineer

• Supporting quality assurance activities for system development and data migration efforts
• Assisting in validating system functionality, performance, and integration to ensure alignment with project requirements
• Collaborating with business analysts and stakeholders to understand, gather, and document business requirements
• Designing, configuring, and building Pega applications, including case management, workflows, user interfaces, and business logic using Pega tools
• Implementing integration points with databases, web services (REST/SOAP), and legacy systems
• Performing unit and integration testing, debugging applications, and supporting system testing and UAT
• Creating and maintaining documentation of application design, configurations, and system changes
• Providing ongoing support, troubleshooting technical issues, and enhancing existing workflows
• Ensuring all work adheres to Pega development best practices and guardrails
• Actively participating in team meetings and Agile/Scrum methodologies

Tester – Functional, QA Engineer

• Contribute to data engineering efforts by supporting the integration and enrichment of DISN network topology data for advanced data correlation and analytics.
• Participate in technical discussions with internal and external stakeholders to support solution design and implementation.
• Develop, test, and deploy data pipelines and integration solutions across distributed systems and cloud environments, using Python, JavaScript, Java, and SQL.
• Assist in requirements gathering and collaborate with stakeholders to design and implement data enrichment pipelines, integrating diverse data sources into Confluent (Kafka) and Elastic platforms.
• Develop and maintain Kibana visualizations and dashboards to support operational insights.
• Support Kafka system integrations between Elasticsearch/Logstash and other systems.
• Collaborate within Agile scrum teams, contribute to team deliverables, and share knowledge with peers.
• Communicate and coordinate effectively with geographically distributed team members to achieve project objectives.
• Troubleshoot and help resolve installation, infrastructure, and system issues; report and help mitigate technical risks.
• Develop and maintain technical documentation, including DoD requirements, interface documents, and security compliance artifacts.
• Ensure solutions comply with DoD security standards and guidelines, and support platform sustainment and reliability by addressing operational challenges as needed.

Data Engineering Specialist

• Work on projects for electric utilities at voltages from 12kV up to 500kV
• Use knowledge of digital logic design, AC and DC circuits to design substation electrical projects
• Perform quality control checks on substation physical design projects
• Read and design substation physical drawings such as one-line drawings, three-line drawings, foundation, grounding drawings
• Attend site visits at customer locations

Senior Cloud Operations Engineer

Senior Cloud Operations Engineer

Senior AI/ML Engineer

Software Developer

Project Financial Analyst Lead

Principal Project Financial Analyst

Project Financial Analyst

Lead Substation Protection and Controls Engineer

Associate Distribution Engineer

Senior Data Engineering Specialist

Search Engineer

Senior Cloud Cybersecurity Infrastructure Engineer

Tester – Functional, QA Engineer

Data Engineering Specialist

Senior Substation Physical Engineer