Requirements engineer jobs in District of Columbia - 699 jobs

Bachelor's degree in Computer Science, Information Security, or a related field. At least 10 years of experience as a cybersecurity engineer with a specialization in designing and building implementations of required security controls; and implementing continuous monitoring and auditing of solutions for compliance with security controls. Expert‑level skills in specifying and implementing log collection into tools such as Splunk, and performing querying and analysis of aggregated logs to identify security‑relevant anomalies or risks. Strong experience in implementing security controls from government regulatory frameworks and security standards (e.g., NIST SP 800‑53, RMF, ICD 503, FISMA, FedRAMP). Demonstrated and repeat experience implementing controls for cloud, container, and DevSecOps services and solutions from IL5 to IL6+ on NIPR, SIPR, and JWICS. Strong understanding of network protocols, operating systems, and infrastructure components. Expert proficiency in incident response, security incident handling, and forensic analysis techniques. Expertise with security tools such as Fortify, Acunetix, and Prisma Cloud. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. CISSP or equivalent certification to support DoD 8140 requirements. Active TS//SCI clearance with CI poly. Familiarity with implementing security controls for solutions in Azure and/or GCP. Experience with low-to-high development models and associated tooling. #J-18808-Ljbffr

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology, logistics and management solutions to meet real mission requirements. KMI is a Minority Business Enterprise (MBE and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research. Since 1998, our solutions and services have helped our clients improve performance, drive cost and operational effectives, and map technology needs for tomorrow's requirements. Title: Mid-Level DevOps Engineer Location: Position: 1 Duration: Multi-year program Start date: ASAP Security Clearance: Active US Treasury Public Trust preferred. Anyone with an active DOD clearance, would be processed for a DHS Public Trust. Salary: Please provide your salary requirement Position Overview Knowledge Management, Inc. is seeking a Mid-Level DevOps Engineer to architect, build, and maintain the infrastructure and automation that powers our client's secure, mission-critical applications. This role will heavily focus on implementing best practice CI/CD principles within a GitHub Enterprise environment and eventually migrating the migration of their systems to a Kubernetes cluster-based architecture. Key Responsibilities Collaborate with senior engineers to implement and manage CI/CD pipelines using GitHub Enterprise, ensuring best practices for build, test, and deployment automation. Work closely with development teams to optimize CI/CD pipelines, automate infrastructure provisioning, and enhance platform observability. Assist in deploying and maintaining enterprise applications on cloud-agnostic microservices architecture. Implement infrastructure-as-code (IaC) using tools like Terraform to manage cloud resources and ensure consistency and security. Contribute to the establishment and maintenance of monitoring, observability, and alerting using tools like Grafana and Prometheus to ensure high availability and performance. Assist in automating infrastructure deployments and manage version control and configuration management tools. Support the development and implementation of Git branching strategies that gatekeep production deployments and ensure code quality. Participate in the strategy and execution for migrating applications and services to Kubernetes, enhancing scalability and reliability. Required Qualifications Proven experience as a DevOps Engineer in a mid-level role. Proficiency with GitHub Enterprise and building/managing CI/CD pipelines using GitHub Actions. Experience with containerization technologies, specifically Docker. Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Understanding of cloud infrastructure and platforms (e.g., AWS, Azure, GCP). Experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, and Datadog. Desired Qualifications Hands-on experience with Kubernetes, including cluster administration, networking, and storage. An existing US Treasury Public Trust or equivalent Federal security clearance. Benefits Health, dental, and vision insurance 401(k) retirement plan Paid time off (PTO) and holidays Group Term Life and Accidental Death and Dismemberment Insurance Voluntary Term Life Insurance Short and Long-term disability insurance Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. E-Verify Statement Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. Pay Transparency Non-Discrimination Provision. Knowledge Management, Inc. will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Disability Statement If you have a disability and need reasonable accommodation or assistance at any point in the application or onboarding process, please email us at *****************************. #J-18808-Ljbffr

We Are: Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems. You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. You have a deep understanding and ability to remain at the frontier of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). As needed by the specific problem, you design, evaluate, and maintain ontologies. As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value. You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals. The Work: Build Knowledge Graph solutions that transform clients' data architecture. Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies Develop strong relationships with clients and gain the trust of key advisors Make the business case for the semantic layer solution recommended to the client Pitch in on Accenture sales efforts when needed Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements. Here's what you need Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required. Minimum of 3 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands‑on design and configuration Minimum of 6years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases Minimum of 6years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL) Minimum of 5 years of hands‑on experience with cloud platforms (AWS, Azure, GCP) Minimum of 6 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Minimum of 6 years of experience in Practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications. Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation. Minimum of 6 years of managerial experience with the ability to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and delivering data transformation programs and developing teams. Bonus Points If: Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $132,500 to $338,300 Cleveland $122,700 to $270,600 Colorado $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York/New Jersey $122,700 to $338,300 Washington $141,100 to $311,200 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity and Aff… Accenture is an EEO and affirmative Action Employer of Females/ Minorities/Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. #J-18808-Ljbffr

Job ID 2025-12923 # of Openings 3 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining enterprise database systems in support of various government and defense projects. This role involves implementing ETL processes, managing low latency application databases, and ensuring database performance and availability. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Oversee data architecture for large-scale APIs and web application back-end data stores. Implement ETL processes to supply application data for usage in web applications. Manage critical low latency application databases on various platforms. Develop and maintain packages, scripts, and reusable components for system enhancements and interfaces. Develop scripts to validate various data on systems and improve database performance. Troubleshoot and correct code problems identified during ETL and refresh processes. Develop, implement, and execute quality assurance programs and quality control standards. Establish database backup/recovery strategy and implement automation of DBA utility functions. Document database design, data definition language, and data migration strategy. Engineer extensive database solutions and interfaces for enhanced data requests performance. Qualifications Minimum Qualifications: 5+ years of experience designing, developing, and maintaining enterprise database systems. Strong understanding of SQL (MariaDB/MySQL, Postgres, MS SQL, or Oracle). Demonstrated experience with ETL pipeline design and implementation using third-party vendor solutions (NNCompass, Pentaho) or developing custom solutions. Experience with cloud database development and implementation (AWS preferred). Robust understanding of data migration procedures for backup, restore, as well as schema migration. Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred but not mandatory. Ability to obtain and maintain a security clearance (Confidential/NAC required). Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. The salary range for this position is - $148,776-$207,000 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

About Pryon We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. We're looking for a Software Engineer who will contribute to the design, development, and implementation of highly complex software components and microservices integrated into cloud architectures. This position requires a high-functioning person who can not only self‑manage (within a structure) and coordinate directly with our Research and Product teams, but who is also interested in learning new theories, concepts, principles, and methodologies that will help us achieve our goals. In This Role, You Will: Work closely with peers to design & code robust scalable, loosely coupled components and micro-services that integrate with both public and private cloud infrastructure, as well as on-prem applications Apply architecture and design principles consistently and holistically to enable target end‑to‑end usage scenarios. Provide good focus on DevOps use‑cases and workflows Work to drive decisions through a crisp decision‑making process and framework Analyze criteria and options and obtain necessary data to answer key questions What You'll Need to Be Successful Minimum of 3 years of related experience with a Bachelor's degree; or 1 year and a Master's degree; or a Ph.D. without experience; or equivalent work experience Basic knowledge of development & deployment across multiple cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, VMWare and OpenStack Working knowledge of micro‑service architectures & large‑scale API design and development Experience with API protocols and patterns including gRPC, REST, and GraphQL Understanding of service mesh frameworks (Istio), container systems (Docker), and orchestration platforms (ECS, Kubernetes, Mesos and/or Swarm) Infrastructure as Code experience with Terraform and Helm chart development Experience in developing solutions using automation tools such as Ansible, Chef, Puppet, System Center Experience with workflow orchestration tools and patterns for distributed systems Working knowledge of Relational, NoSQL databases including Document, Vector and Graph databases Operating System knowledge of Linux, OS Processes, Threads, Scheduling, Synchronization, Memory Management, and Input/Output device management Able to collaborate and thrive in a dynamic high performing environment Demonstrated excellence in written and verbal communications Participates in cross functional design teams to develop expertise in other modules/systems Excellent organizational agility and interpersonal skills Coding experience in languages such as Golang, Python, TypeScript. Awareness/Familiarity with current LLM AI infrastructure including OpenAI, Anthropic, and Google Vertex AI stack, open‑source LLM interfaces, and prompt engineering techniques $140,000 - $165,000 a year Annual salary is only one component of overall compensation. Actual salaries are based on factors such as work experience and education and may vary from the specified range. Benefits for Full Time Employees Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short‑term and Long‑term Disability 401k Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

Who We Are: ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing clients tailored solutions in Program & Project Management, Strategic Planning, and IT Services. Position Description: ThinkTek is seeking a Data Engineer with strong expertise in Microsoft Azure and experience integrating with ServiceNow (SNOW) platforms to support a Human Capital Management (HCM) modernization program for a large Federal agency. The selected candidate will provide technical leadership in designing secure, scalable data solutions that enhance interoperability between Azure-based systems, HCM platforms, and ServiceNow applications. The ideal candidate will have deep hands-on experience in Azure Data Factory, Azure Synapse Analytics, Power BI, and SQL Server, combined with a working knowledge of ServiceNow data structures, CMDB, and API integrations. Responsibilities: Lead the design and implementation of enterprise data architecture to support Human Capital Management and related business systems. Develop and maintain scalable data models, data warehouses, and migration strategies within the Microsoft Azure environment. Architect and manage Azure SQL Database, Azure Data Lake, and Synapse pipelines to enable secure data flow across HCM and ServiceNow platforms. Integrate data between Azure and ServiceNow, leveraging APIs, MID Servers, and RESTful web services. Collaborate with HR, IT, and ServiceNow platform teams to define and implement data standards, mappings, and transformation logic. Establish and monitor data governance, quality assurance, and compliance processes aligned with federal cybersecurity and privacy mandates (e.g., FISMA, FedRAMP). Develop advanced analytics and reporting solutions using Power BI and Azure Analysis Services to support workforce planning, performance insights, and executive dashboards. Serve as a technical advisor to ensure data architecture aligns with business goals, modernization priorities, and cloud best practices. Required Qualifications: Active Secret Clearance. Bachelor's Degree or higher. 5+ years of experience leading enterprise data architecture, modeling, and migration efforts. 5+ years of hands-on experience with Azure SQL, Azure Data Factory, Azure Synapse, and Power BI. Experience with ServiceNow data models, integrations, and CMDB architecture. Strong SQL and database design proficiency, including stored procedures, APIs, and ETL workflows. Experience supporting or integrating Human Capital Management or ERP systems (e.g., Oracle HCM, Workday, PeopleSoft, or SAP SuccessFactors). Knowledge of federal data privacy, security, and compliance frameworks (FISMA, FedRAMP, NIST). Preferred: Azure Solutions Architect, Azure Data Engineer, or ServiceNow Integration Specialist certification. Why ThinkTek: ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making employment decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.We offer comprehensive benefits including medical, dental, and vision insurance for full-time employees, generous PTO, and a variety of paid leave options. Learn more about ThinkTek careers and benefits at ****************************

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Work directly with customers to understand their problems and translate those into features in Scale's platform. Be open to >50% travel or relocation to a key customer geographic location. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Implement end-to-end data integrations, syncing customer's data to Scale's platform and back Deploy and maintain Scale software at customer sites Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus. Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Linux experience: Understanding of shell scripting, operating systems, etc Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000-$292,560 USDThe base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$165,600-$263,304 USDThe base salary range for this full-time position in the location of Hawaii/St. Louis is:$138,000-$219,420 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Honolulu, Hawaii is:$138,000-$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Dynamic Solutions Technology, LLC, a premier strategic services firm that meets IT and Service needs for commercial and government clients. We are is seeking a full-time Engineer III This exempt position is located in Washington, DC. ACTIVE SECRET CLEARANCE REQUIRED Responsibilities: Responsible for developing the overall DevSecOps Perform engineering functions such as developing operational systems concepts, performing system trade studies, originating design concepts or performing systems level test and integration test for highly complex systems Overseeing the creation of hybrid software, web and hardware products from initial specifications to final rollout and maintenance. Integrating various network operating systems, application programs and hardware devices through system specification, design, coding, testing and maintenance support. Overall project design including cost, schedule, and social issues that may be associated with a project Highly skilled in preparing and delivering presentations/briefing Assist to define system requirements and technical specifications for C4I systems Work with end users to troubleshoot and fix issues Document configuration parameters and workflows Ensure systems are properly configured and maintained Plan, organize, troubleshoot, and direct the analysis and resolution of complex process and system problems Manage test scheduling and operations to ensure deadlines are met Apply a working knowledge of network architectures, computing systems, communications systems and unique hardware aspects of distributed data communications environments for testing sensors using real-time networks Track project execution to ensure deadlines are met Plan and evaluate architectural design Review system performance and identify technical risks and associated risk mitigation approaches Provide technical recommendations to team members and managers. Outline and communicate effective technical approaches for systems engineering activities. Adopt innovative methods or approaches to solve systems engineering technical problems Experience being the task lead/manager Qualifications: Active Secret Security Clearance Bachelor's Degree in Engineering, Computer Science, Software Engineering Computer Engineering Minimum seven (7) years professional experience Security + Certification Skills: Excellent oral and written skills Experience preparing and delivering presentations/briefing and have experience being the task lead/manager. Excellent critical thinking skills. Proficient in Microsoft applications such as Word, Excel, PowerPoint, and Outlook.

A leading consulting firm is seeking a Machine Learning Engineer to create innovative solutions for federal healthcare challenges. The role involves designing and implementing complex system modules, leveraging expertise in AI, and developing high-quality software. Candidates must have 2+ years of experience in machine learning, programming skills in Python, Java, or C++, and obtain TS/SCI clearance. Competitive compensation ranges from $77,600 to $176,000 annually, with benefits including professional development and health coverage. #J-18808-Ljbffr

A technology solutions provider in Washington, D.C. is seeking a Mid-Level DevOps Engineer to architect, build, and maintain secure infrastructure for mission-critical applications. This role involves implementing CI/CD principles in a GitHub Enterprise environment and migrating systems to Kubernetes. The candidate should have a proven background in DevOps, especially with GitHub Actions and container technologies. This position offers health insurance and a 401(k) retirement plan. #J-18808-Ljbffr

A global consulting firm seeks a Knowledge Engineer to leverage generative AI and Knowledge Graph solutions. You will build transformative knowledge graph solutions, integrate AI technologies, and collaborate across teams. Ideal candidates will have at least 4 years of relevant experience, particularly with graph databases and cloud platforms, and strong managerial skills. This position may require travel and offers a competitive salary range based on location. #J-18808-Ljbffr

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

Job ID 2025-13365 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time At LMI, we're building mission-ready AI that delivers impact where it matters most. Our Forward Deployed AI Engineers embed with government partners to tackle high-priority, fast-moving challenges-designing and deploying AI solutions that accelerate decisions, uncover anomalies, and unlock the power of our LIGER generative AI (GenAI) platform. Like a startup CTO in the field, you'll wear many hats: part software engineer, part AI architect, part problem solver. You'll operate with autonomy, adapt to shifting requirements, and bring technical clarity to ambiguous problems-all while collaborating with mission stakeholders, software engineers, and the Chief Product Officer team. If you thrive at the intersection of customer impact, technical excellence, and operational speed, this role offers the chance to deliver AI that matters. This role requires an ActiveSecret security clearance and availability to collocate with our defense and national security customers in the Pentagon. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Own technical delivery: Drive AI solution design and implementation across multiple government deployments, from first prototype to stable mission use. Embed with customers: Serve as a technical thought partner to mission stakeholders, guiding adoption, maximizing impact, and ensuring successful deployments. Build GenAI-enabled systems: Prototype and implement pipelines using Python, TypeScript, or comparable stacks aligned to customer mission needs. Guide value realization: Help customers understand trade-offs, sequence delivery, and adapt applications to achieve operational outcomes. Deliver clarity under ambiguity: Scope projects, remove blockers, and make informed trade-offs between speed, scope, and quality. Contribute directly in code: Write and review software across backend and full-stack environments when clarity or momentum depends on it. Codify patterns: Capture reusable workflows, best practices, and lessons learned into playbooks, tools, and building blocks that scale beyond a single project. Shape the roadmap: Share field signal with LMI's product and research teams to guide the evolution of LIGER and related AI capabilities. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience). 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Hands-on experience building and deploying applications that integrate AI/LLMs, APIs, and data pipelines. Strong programming skills in Python and proficiency in a modern full-stack environment (e.g., JavaScript/TypeScript, MEAN, Node.js). Familiarity with cloud deployment (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, etc.). Ability to translate customer needs into actionable technical approaches and deliver solutions in fast-moving or ambiguous contexts. Excellent problem-solving, judgment, and communication skills, with ability to engage technical and non-technical stakeholders alike. Must have an active Secret security clearance. Desired Qualifications Master's degree in Computer Science, Data Science, or related technical field. Experience deploying systems powered by generative AI (LLMs, RAG architectures, Model Context Protocol) in sensitive or mission-critical settings. Proven track record of scoping and delivering complex systems under tight timelines. Familiarity with DevSecOps practices, CI/CD, and secure software development for government environments. Demonstrated ability to simplify complexity, anticipate risks, and provide clarity in high-stakes environments. Target salary range: $130,986 - $233,154 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. #LI-SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A leading AI solutions company is seeking a Software Engineer to design and implement complex software components and microservices in a cloud environment. Candidates should have at least 3 years of experience and be knowledgeable in cloud services, micro-service architectures, and coding in languages like Golang and Python. This position offers a competitive salary and comprehensive health benefits, along with a remote-first work environment. #J-18808-Ljbffr

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000-$292,560 USDThe base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$165,600-$263,304 USDThe base salary range for this full-time position in the location of Hawaii/St. Louis is:$138,000-$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Job Description Dynamic Solutions Technology, LLC, a premier strategic services firm that meets IT and Service needs for commercial and government clients. We are is seeking a full-time Engineer III This exempt position is located in Washington, DC. ACTIVE SECRET CLEARANCE REQUIRED Responsibilities: Responsible for developing the overall DevSecOps Perform engineering functions such as developing operational systems concepts, performing system trade studies, originating design concepts or performing systems level test and integration test for highly complex systems Overseeing the creation of hybrid software, web and hardware products from initial specifications to final rollout and maintenance. Integrating various network operating systems, application programs and hardware devices through system specification, design, coding, testing and maintenance support. Overall project design including cost, schedule, and social issues that may be associated with a project Highly skilled in preparing and delivering presentations/briefing Assist to define system requirements and technical specifications for C4I systems Work with end users to troubleshoot and fix issues Document configuration parameters and workflows Ensure systems are properly configured and maintained Plan, organize, troubleshoot, and direct the analysis and resolution of complex process and system problems Manage test scheduling and operations to ensure deadlines are met Apply a working knowledge of network architectures, computing systems, communications systems and unique hardware aspects of distributed data communications environments for testing sensors using real-time networks Track project execution to ensure deadlines are met Plan and evaluate architectural design Review system performance and identify technical risks and associated risk mitigation approaches Provide technical recommendations to team members and managers. Outline and communicate effective technical approaches for systems engineering activities. Adopt innovative methods or approaches to solve systems engineering technical problems Experience being the task lead/manager Qualifications: Active Secret Security Clearance Bachelor's Degree in Engineering, Computer Science, Software Engineering Computer Engineering Minimum seven (7) years professional experience Security + Certification Skills: Excellent oral and written skills Experience preparing and delivering presentations/briefing and have experience being the task lead/manager. Excellent critical thinking skills. Proficient in Microsoft applications such as Word, Excel, PowerPoint, and Outlook.