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Job DescriptionJob DescriptionDescriptionBackground information:Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Software Engineer to be based in our Arlington, VA office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview:Software Engineer responsibilities include gathering user requirements, defining system functionality, writing code in various languages (C++, Java), and verifying software functionality through testing. The ideal candidate is familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. This role requires full-time presence on-site at our Arlington, VA office. All applicants must be able to obtain/maintain an active U.S. Security Clearance. What You Will Do: Responsibilities Include: Design, implement, and test software using multiple languages and technology stacks Explore and prototype next-generation solutions for DoD customers Integrate software components into complex DoD software environments Support test and integration activities in IDT labs, as well as on-site customer labs Develop software interfaces to communicate across network protocols such as TCP/UDP, DDS, ActiveMQ, Kafka, RabbitMQ Take leadership in developing user, functional, and technical requirements for software systems Participating in and providing feedback in design reviews and code reviews Minimum Required Qualifications: Minimum of 5 years' experience in software development Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, Mathematics, or related field or equivalent full-time professional experience. Who You Are:Required skills: Strong proficiency in modern C++ or Java Experience using Confluence and Jira in a software development environment Experience with tactical DoD systems and tactical data networks Ability to decompose and document requirements and specifications Understanding of distributed systems, algorithms, data structures and software design patterns Understanding of the Software Development Life Cycle Understanding of object-oriented programming Proficiency working with version control software like Git, SVN and software development environments Experience with software testing and configuration management Ability to convert vague customer requirements into a refined software solution Ability to identify and describe algorithmic complexity Ability to work on-site with potential hybrid flexibility Ability to travel approximately 20% Preferred skills: Active DOD Clearance. Proficiency in containerization (Docker, Podman, etc.) and orchestration frameworks (Swarm, Kubernetes, etc.) Development, system integration, and test experience with complex DoD systems Experience supporting and working with cross-functional teams in a dynamic environment Familiarity with US Navy and US Army tactical C2 or sensors such as Aegis, CEC, CAC2S, IBCS, SPY-1, etc system design is desired Experience with virtualization and containerization deployment technologies Experience with deployment automation tools (SALT, Ansible, Terraform etc.) Proficiency working with different SW development tools such as Jenkins, JFrog Artifactory, and Gitlab Experience with creating and configuring Virtual Machines (VMware, VirtualBox, etc.) Experience with basic network concepts like VLANs, IP addressing schemes, and static routing Competencies: Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive Problem-solving skills with the ability to navigate ambiguous situations Excellence in oral, written, and technical communication with peers and non-technical cohorts Initiative, creativity, reliability, teamwork Strong organization and planning skills Attention to detail Pay Range : $114,000 - $184,000 or $135,000 - $231,000This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Why Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: Generous benefits package Competitive PTO Paid holidays 401(k) with immediate vesting and matching 9/80 optional schedule (2nd and 4th Friday off every month) Tuition Assistance Reimbursement Program Professional Development Resources Pre-Tax Commuter Benefits Organization-Wide Monthly Tech Connect Events Annual Employee Recognition Awards Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job DescriptionJob DescriptionMGRM Pinnacle Inc. Location: Tempe, Arizona Work Arrangement: This is a full-time, on-site position. Remote work is not available for this role. About the Role:MGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.This is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application-from architecture, backend services, APIs, and data models to front-end user experience-and determine how AI should be integrated into the product from the ground up.The ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows. Key ResponsibilitiesEnd-to-End Application Development: Design and build complete AI-enabled applications from architecture through deployment. Develop backend services, APIs, data models, and user-facing application components. Build responsive front-end experiences using modern frameworks such as React, Vue, or Angular. Integrate new applications with existing enterprise systems and shared data sources. Translate business and operational requirements into secure, scalable technical solutions. AI & LLM Development: Build AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows. Integrate applications with locally hosted and enterprise-managed LLM environments. Design, test, version, and improve production prompt templates. Develop evaluation methods and test sets to measure AI output quality and reliability. Identify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks. Secure & Reliable Development: Develop applications in accordance with established security and data-classification requirements. Follow secure coding practices and build applications capable of passing automated security and code-quality checks. Write unit and integration tests to support reliable releases. Follow appropriate secrets-management and credential-handling practices. Maintain clear technical documentation for the applications you develop. Collaboration & Product Ownership: Work with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications. Take ownership of assigned applications and features from initial design through testing and release. Participate in code reviews, technical design discussions, and Agile/Scrum development processes. Support documentation and evidence requirements for applications operating in regulated environments. Required Qualifications: Approximately 5 years of professional software engineering experience, including experience building and shipping production applications. At least 2 years of hands-on experience developing AI/LLM-based applications. Experience developing across the application stack, including backend services, APIs, databases, and front-end interfaces. Strong programming experience with one or more of the following: Python (FastAPI or Django). Java. Node.js. TypeScript. Experience with a modern front-end framework such as React, Vue, or Angular. Experience designing or consuming REST and/or GraphQL APIs. Experience working with SQL databases and at least one NoSQL data store. Experience with Git-based development workflows, unit testing, and integration testing. Hands-on experience building at least one meaningful AI-based application using an LLM in production or in a substantial production-oriented prototype. AI Experience We Are Looking For:Candidates should have practical experience with one or more of the following: Retrieval-Augmented Generation (RAG). Prompt engineering and prompt templating. AI-powered search. Summarization or classification applications. Copilot-style assistants. Agentic or multi-step AI workflows. LangChain, LlamaIndex, or similar orchestration frameworks. Vector databases such as pgvector, Qdrant, or Milvus. Ollama, vLLM, or similar model-serving environments. Evaluating LLM output for quality, accuracy, and hallucination risk. Please note: Using ChatGPT or an AI coding assistant to help write code is not, by itself, the type of AI development experience we are seeking. Candidates should be able to discuss an application they have built that actually calls and uses an AI model as part of the product. Additional Skills That Are Helpful:Experience in any of the following areas is beneficial but not required: Docker. GitHub Actions or GitLab CI. Postman or API testing. Kubernetes fundamentals. Kong API Gateway. OWASP Top 10 and OWASP LLM Top 10. Healthcare technology or HL7/FHIR APIs. Government or e-governance applications. Regulated or sensitive-data environments. ISO/IEC 27001 or ISO/IEC 42001. CMMI-aligned software development environments. Who Will Be Successful in This Role:You may be a strong fit if you: Think about the complete application rather than only the AI model or feature. Have personally built an AI-enabled application and can explain its architecture, data flow, AI components, and user experience. Enjoy solving the practical challenges of LLM applications, including hallucination, latency, evaluation, context limits, and reliability. Are comfortable owning an application from initial requirements through development, testing, and release. Approach prompt development with the same discipline as software development-testing, versioning, reviewing, and documenting changes. Can work with both technical and non-technical stakeholders to turn an idea or business requirement into a practical working application. Value secure, well-documented development practices, particularly when working with sensitive or regulated information. About MGRM Pinnacle Inc.:MGRM Pinnacle Inc. is part of MGRM Group, a multi-domain organization with technology and service initiatives spanning healthcare, education, compliance, e-governance, and related digital platforms.Our technology teams develop and support platforms serving complex operational environments where security, reliability, usability, and responsible use of AI are critical. How to Apply:Please submit your resume along with a brief description of one AI-based application you have built or significantly contributed to.In your response, briefly tell us: What problem the application solved. What you personally built or were responsible for. What AI model(s), framework(s), or tools you used. How the AI functionality was incorporated into the overall application. What you learned from the project or would approach differently today. A traditional cover letter is not required. Applications that clearly demonstrate hands-on AI application development experience will receive priority consideration.

Job DescriptionJob Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. As we grow, we're looking for mission-driven Platform Software Engineers who are ready to make a real impact-not just with code, but with purpose. If you're passionate about solving complex challenges that matter, there's a place for you here. Responsibilities: Design, maintain, and improve CI pipelines (GitLab CI) for secure software builds and deployments Orchestrate automated deployments across development, test, and production environments using Kubernetes and Helm Ability to perform tasks well aligned with team and product goals with limited technical oversight and guidance. Provide thought leadership, mentorship, and input into tasks for projects Integrate CI pipelines with tools for artifact management, testing, code quality, and security scanning Monitor and troubleshoot CI/CD pipeline performance and deployment issues Manage software release processes including version promotion, branching, integration, and validation Maintain and implement Helm charts for application deployments Perform deployment validation and issue resolution in Kubernetes-based environments Ensure adherence to cybersecurity protocols and secure coding practices Support software vulnerability scanning (Static & Dynamic Analysis Tools) and remediation processes Perform other DevSecOps-related duties as assigned Requirements U.S. citizenship and eligibility for a DoD security clearance Bachelor's degree in a STEM discipline At least 8 year of overall professional software development experience with 5 years of experience with the following technologies: Python3 CI/CD tools (GitLab CI, GitHub Actions, or Jenkins) Git version control Container orchestration with tools such as Docker, Kubernetes, Kustomize, or Helm Demonstrated attention to detail Good verbal and written communication skills Candidates who have any of the following skills will be preferred Linux systems administration Container security tools (e.g., Grype, Syft) SAST/SCA tools (e.g., Fortify, SonarQube, Snyk, Trivy, ZAP) AWS (EKS, EC2, Lambda) Application networking with tools such as Istio, NGINX, or Traefik Monitoring and observability tools (e.g., Prometheus, Grafana) Authentication tools (e.g., Keycloak) Artifact repositories (e.g., JFrog Artifactory, Nexus) Additional programming experience with strongly typed languages such as C++ or Rust Familiarity with secure software development and vulnerability management workflows Experience supporting RMF processes, ATO activities, or DISA STIG application•Experience supporting RMF processes, ATO activities, or DISA STIG application Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. 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. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $156,000- $235,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Job DescriptionJob DescriptionMGRM Pinnacle Inc. Location: Tempe, Arizona Work Arrangement: This is a full-time, on-site position. Remote work is not available for this role. About the Role:MGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.This is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application-from architecture, backend services, APIs, and data models to front-end user experience-and determine how AI should be integrated into the product from the ground up.The ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows. Key ResponsibilitiesEnd-to-End Application Development: Design and build complete AI-enabled applications from architecture through deployment. Develop backend services, APIs, data models, and user-facing application components. Build responsive front-end experiences using modern frameworks such as React, Vue, or Angular. Integrate new applications with existing enterprise systems and shared data sources. Translate business and operational requirements into secure, scalable technical solutions. AI & LLM Development: Build AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows. Integrate applications with locally hosted and enterprise-managed LLM environments. Design, test, version, and improve production prompt templates. Develop evaluation methods and test sets to measure AI output quality and reliability. Identify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks. Secure & Reliable Development: Develop applications in accordance with established security and data-classification requirements. Follow secure coding practices and build applications capable of passing automated security and code-quality checks. Write unit and integration tests to support reliable releases. Follow appropriate secrets-management and credential-handling practices. Maintain clear technical documentation for the applications you develop. Collaboration & Product Ownership: Work with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications. Take ownership of assigned applications and features from initial design through testing and release. Participate in code reviews, technical design discussions, and Agile/Scrum development processes. Support documentation and evidence requirements for applications operating in regulated environments. Required Qualifications: Approximately 5 years of professional software engineering experience, including experience building and shipping production applications. At least 2 years of hands-on experience developing AI/LLM-based applications. Experience developing across the application stack, including backend services, APIs, databases, and front-end interfaces. Strong programming experience with one or more of the following: Python (FastAPI or Django). Java. Node.js. TypeScript. Experience with a modern front-end framework such as React, Vue, or Angular. Experience designing or consuming REST and/or GraphQL APIs. Experience working with SQL databases and at least one NoSQL data store. Experience with Git-based development workflows, unit testing, and integration testing. Hands-on experience building at least one meaningful AI-based application using an LLM in production or in a substantial production-oriented prototype. AI Experience We Are Looking For:Candidates should have practical experience with one or more of the following: Retrieval-Augmented Generation (RAG). Prompt engineering and prompt templating. AI-powered search. Summarization or classification applications. Copilot-style assistants. Agentic or multi-step AI workflows. LangChain, LlamaIndex, or similar orchestration frameworks. Vector databases such as pgvector, Qdrant, or Milvus. Ollama, vLLM, or similar model-serving environments. Evaluating LLM output for quality, accuracy, and hallucination risk. Please note: Using ChatGPT or an AI coding assistant to help write code is not, by itself, the type of AI development experience we are seeking. Candidates should be able to discuss an application they have built that actually calls and uses an AI model as part of the product. Additional Skills That Are Helpful:Experience in any of the following areas is beneficial but not required: Docker. GitHub Actions or GitLab CI. Postman or API testing. Kubernetes fundamentals. Kong API Gateway. OWASP Top 10 and OWASP LLM Top 10. Healthcare technology or HL7/FHIR APIs. Government or e-governance applications. Regulated or sensitive-data environments. ISO/IEC 27001 or ISO/IEC 42001. CMMI-aligned software development environments. Who Will Be Successful in This Role:You may be a strong fit if you: Think about the complete application rather than only the AI model or feature. Have personally built an AI-enabled application and can explain its architecture, data flow, AI components, and user experience. Enjoy solving the practical challenges of LLM applications, including hallucination, latency, evaluation, context limits, and reliability. Are comfortable owning an application from initial requirements through development, testing, and release. Approach prompt development with the same discipline as software development-testing, versioning, reviewing, and documenting changes. Can work with both technical and non-technical stakeholders to turn an idea or business requirement into a practical working application. Value secure, well-documented development practices, particularly when working with sensitive or regulated information. About MGRM Pinnacle Inc.:MGRM Pinnacle Inc. is part of MGRM Group, a multi-domain organization with technology and service initiatives spanning healthcare, education, compliance, e-governance, and related digital platforms.Our technology teams develop and support platforms serving complex operational environments where security, reliability, usability, and responsible use of AI are critical. How to Apply:Please submit your resume along with a brief description of one AI-based application you have built or significantly contributed to.In your response, briefly tell us: What problem the application solved. What you personally built or were responsible for. What AI model(s), framework(s), or tools you used. How the AI functionality was incorporated into the overall application. What you learned from the project or would approach differently today. A traditional cover letter is not required. Applications that clearly demonstrate hands-on AI application development experience will receive priority consideration.

Job DescriptionJob Description Staff Engineer or Principal Engineer - Colorado Stealth Startup About the Opportunity Join an elite, venture-backed team building next-generation, AI-powered collaboration tools for the enterprise. Technical Integrity has been retained to lead the search for a rapidly growing startup developing AI systems that improve how large organizations think, communicate, and make decisions. Their product uses cutting-edge AI to identify and resolve coordination gaps automatically - helping teams operate more intelligently and efficiently at scale. Following a recent, substantial, oversubscribed-round of funding (by names you will certainly recognize), the company is expanding its world-class engineering team in Colorado and beyond. What You'll Do Architect and implement core systems for an AI-powered enterprise collaboration platform, as a core engineer. Define, design, and deliver innovative solutions in distributed systems, backend logic, and AI integration. Collaborate closely with product, design, and AI research peers to shape both strategy and implementation. Ensure infrastructure reliability, scalability, and security through modern cloud and Kubernetes technologies. Work with other Senior Staff Engineers to foster a culture of technical excellence, autonomy, and curiosity. Ideal Candidate Profile Top 20% Engineer: Strong analytical ability, judgment, and breadth of experience. You think from first principles and have a track record of solving complex, real-world problems. Hands-On Builder: You're happiest writing code and shipping production systems in a fast paced startup - not just managing others. Self-Directed & Autonomous: You thrive in a lightly structured environment, decomposing ambiguous problems and independently driving them to completion. Backend, Security & Systems Focused: Most work centers on backend and business logic development and integrations. Security-centric SRE experience is preferred. Frontend development is helpful but not central. Startup & Enterprise Experience: You balance startup agility with enterprise-scale thinking and rigor. Smart, Not Hard: You work efficiently and sustainably, typically producing exceptional results within a 45-50 hour workweek. AI & LLM Experience: You're excited by building in an AI-native environment, leveraging Claude Code and other LLM-assisted tools to enhance development velocity and creativity. Collaborative & Solution-Oriented: No lonewolves. You communicate thoughtfully, contribute positively to discussions, and pair every critique with a constructive solution. How We Work We value leverage over brute force - working smart, not long hours. Engineers are trusted to define their own work, prioritize high-impact projects, and deliver results with minimal oversight. The team collaborates through lightweight, peer-driven conversations rather than rigid sprint cycles or daily standups. You'll work alongside senior peers solving challenging systems problems in a small, high-trust team where every hire makes a visible impact. This is an environment for creative, disciplined problem solvers who thrive in freedom and accountability. Technical Environment and required experience: AI-native development using Claude Code and LLM-assisted tools. Work at the bleeding edge of containerization, Agentic platforms, MCP, and distributed systems. A modern, cloud-first infrastructure built on Knowledge Graph using Neo4J and Terraform and Kubernetes. High-impact autonomy: engineers research, design, and deliver major systems end-to-end. Interview Process We've designed a focused process that balances technical rigor with respect for candidates' time. Step 1: Introductory conversation with Technical Integrity. Step 2: Real-world coding exercise (typically 4 hours). This is the main part of our interview process and replaces multiple rounds. It reflects our AI-native environment and requires use of Claude Code and modern containerization tools. Candidates often find it a valuable preview of what day-to-day work feels like here. Step 3: Three collaborative interviews with engineering leadership. This process gives both sides a deep sense of technical fit and working style. Compensation & Benefits Competitive salary and meaningful equity packages. Recent offers for comparable roles have ranged from $185,000-$250,000 base, plus meaningful signing bonuses and equity stakes. (Equity is the big story- take time to learn about that story throughout your interviews and you will be glad you did). Very solid Health benefits (Medical, Dental, and Vision) 401K match Flexible work arrangements - Colorado-based 1-2 days per week in Boulder. Opportunity to collaborate with world-class technical peers on groundbreaking AI systems. Application Process To apply, please contact Technical Integrity with your resume and a concise statement of interest. We value transparency, prompt feedback, and a respectful candidate experience throughout. If you're a senior software engineer or principal technologist who thrives on autonomy, deep technical challenges, and building at the frontier of AI-assisted engineering, we'd love to hear from you.

Job DescriptionJob Description Why Join Rincon Research Corporation (RRC)? At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital communication products and services for the United States Defense and Intelligence Communities in support of national security. Rincon Research Corporation (RRC) seeks a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. RRC's dynamic environment and diverse projects demand flexibility to learn new technologies quickly. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Come join the team that is creating cutting edge signal processing, geolocation, and communication systems for the future. What are the primary responsibilities in the Sr. Software Engineer position? Core responsibilities include designing real-time cloud processing solutions, implementing advanced signal processing and geolocation algorithms with efficient software, testing with real data, and providing applications to front-line customer facilities. You create effective user interfaces and data visualization tools. You also will provide technical leadership and guidance to junior team members and mentor others engineers to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. You're encouraged and expected to propose things that you believe will improve the applications and frameworks you're working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Highly proficient in modern software engineering practices for testability and readability Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Ability to obtain and maintain TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred background: DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Where is the position located? This position can be located at our Centennial, CO; Chantilly, VA offices or our Tucson, AZ Headquarters. Remote work/telework is not available for this position. The likely salary range for this position is $190,000 to $260,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. What benefits does RRC offer? 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD) Flexible reimbursement spending accounts for medical expense and dependent care Immediate participation and vesting in the company's Employee Stock Ownership Plan (ESOP) and 401(k) Plan Employer contributions to RRC's ESOP Employer matching contributions to the company's 401( k) Plan Employer discretionary contributions to the company's 401(k) Plan Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Job DescriptionJob DescriptionAbout ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for an AI/ML Engineer to develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation. This position will support one of our Government clients in Arlington, VA. Responsibilities Develop automated data pipelines for machine learning technology integration initiatives Create automation workflows for malware sample collection, detonation, and taxonomy Implement AI/LLM integrations with Databricks and other cloud services Implement data integration automation between pilot and production systems Support Automated Malware Analysis (AMA) platform development and enhancement Develop scripts and tools to automate repetitive technical tasks Create data transformation and normalization automation Support AI/ML data preparation and feature engineering automation Develop monitoring and alerting automation for integrated systems Implement API integrations for data sharing and workflow automation Document automation solutions and maintain code repositories Support scaling automation from pilot to production environments Optimize automation performance and efficiency Collaborate with analysts to identify automation opportunities Ensure automation solutions maintain data quality and integrity Support continuous improvement of automated capabilities Minimum Qualifications BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience 5+ years of experience in automation engineering, data engineering, or software development Experience with data ingestion pipeline design on AWS Experience with AI/LLM configuration, tuning, and integration Experience with Machine Learning (ML) pipelines Strong programming skills in Python, with experience in data manipulation libraries Experience Amazon Bedrock (model access, endpoints, API Integration) Knowledge of automation frameworks and orchestration tools Experience with APIs and integration technologies Understanding of database systems and data modeling Familiarity with version control (Git) and CI/CD practices Strong problem-solving and analytical skills Ability to translate business requirements into automated solutions Excellent documentation and communication abilities Preferred Qualifications Experience with malware analysis automation or cybersecurity tools Knowledge of AI/ML pipelines and data preparation Experience with Databricks and Databricks AI Experience with workflow orchestration tools (Airflow, Prefect) Background in cybersecurity or threat intelligence automation Experience with containerization and orchestration (Docker, Kubernetes) Knowledge of streaming data platforms (Kafka, Kinesis) Familiarity with big data technologies (Spark, Hadoop) Experience supporting federal cybersecurity programs DoD 8140 IAT Level III CSSLP Clearance Requirement: This position requires an Active TS/SCI clearance and the ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Are you ready to make a significant impact by supporting critical national security infrastructure? T-Rex Solutions is looking for a fully cleared Senior Software Engineer 3 to join our dynamic team at Ft. Meade, MD in support of the Intelligence Community. We are seeking Frameworks developers (SWE1 and SWE3) for a high priority and highly visible malware analysis modernization program. The individual will work with a team of dynamic and innovative engineers to develop new capabilities supporting the front end processing of data for a mission critical tool. The individual will also support the modernization of the front end processing services. Responsibilities: Java Application (no front end necessary), REST • Agile • Ability to multitask and pivot to different tasks quickly • Experience with Atlassian tools, Git • Experience with IntelliJ or Eclipse IDE • Kubernetes • JMX Messaging (ActiveMQ, RabbitMQ, etc) (desired skill for SWE1) Desired Skills: • Kotlin • Mongo • Spring or Spring Boot • Python • NiFi Requirements: Bachelor's and 7 years of related experience or 14 years of related experience without a degree. Active TS/SCI w/ FSP required within 7 years. T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $120,000 - $190,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space-for people, systems, and missions in every domain. Umbra's ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms).Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform satellite data into real-world, actionable insights that strengthen U.S. national security and intelligence, support disaster response, and advance scientific discovery. Our team delivers data at scale with unmatched quality, persistence, and the speed and responsiveness our partners demand. If you want to work on cutting-edge space technology that's redefining what's possible in remote sensing, you belong here at Umbra. About the Job We are seeking a Senior Ground Software Engineer to join our Remote Sensing software organization and help expand our capacity to design, build, and maintain the critical systems that support our autonomous satellite operations. This engineer will contribute to software systems across our mission planning, scheduling, command, control, and communications domains, partnering with product owners and multidisciplinary engineering teams to develop and operate the services that enable spacecraft operations at scale. In this role, you will take ownership of key backend services alongside our existing engineers, helping distribute operational responsibility, improve system resiliency, and accelerate delivery across multiple mission-critical product areas. This position is based on-site in either our Santa Barbara/Goleta, CA office, Arlington, VA office, or Reston, VA office (coming soon). Key Responsibilities Design, develop, and maintain reliable, scalable, and secure software systems that support satellite mission planning, scheduling, command, control, and communications. Take shared ownership of critical production services, reducing single-threaded dependencies and improving operational resilience. Contribute to architectural decisions and influence system design with a focus on reliability, scalability, maintainability, and security. Collaborate with cross-functional teams, including operations, platform engineering, and flight software, to deliver end-to-end solutions. Participate in on-call rotations and ensure system uptime, performance, and operational excellence. Develop and maintain APIs, backend services, and data workflows that support autonomous satellite operations. Continuously improve observability, testing, deployment, and operational processes. Requirements Required Qualifications Bachelor of Science in Computer Science, Software Engineering, or a related field. 5-8+ years of professional experience developing highly available backend services, preferably using Python. 3+ years of experience designing, developing, and testing commercial RESTful APIs. Experience developing software for aerospace ground systems, satellite operations, mission operations, command and control systems, or similarly complex operational environments. Demonstrated understanding of software architecture, event-driven microservices, interface design, and automated testing practices. 2+ years of professional experience developing automated build and test pipelines within a CI/CD environment. Experience building database-backed applications and working with relational databases, preferably PostgreSQL. Experience developing and deploying Kubernetes/Docker containerized services. Experience with AWS or other cloud computing platforms. Solid understanding of application security, access control, authentication, and identity management. Strong communication skills and the ability to collaborate effectively across engineering disciplines. Desired Qualifications Experience building software to automate space operations. Experience designing and implementing scheduling systems, optimization algorithms, or automated planning systems. Strong understanding of infrastructure monitoring, observability, and operational best practices. Experience designing and documenting APIs using Swagger/OpenAPI. Track record of improving team effectiveness through mentorship, documentation, or knowledge sharing. Benefits Flexible Time Off, Sick, Family & Medical Leave Medical, Dental, Vision, Life, LTD, STD (employer funded) Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded) 401k with 3% non-elective company contribution Stock Options Free parking Free lunch in office daily Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. Employment Eligibility Verification In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire. ITAR/EAR Requirements This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable. Pay Transparency This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role's function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience. Compensation Range The Compensation Range for this role is $155,000 - $185,000 DOE.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are looking for a Developer Experience Engineer to enhance developer productivity, automation, and infrastructure across our hardware and software teams. You will work at the intersection of DevOps, software engineering, and high-performance computing (HPC), building systems that accelerate chip design, simulation, and AI model deployment in a cloud and on-prem hybrid environment. Key responsibilities Develop and maintain automation tools to streamline development, testing, and deployment workflows. Optimize and manage Slurm-based job scheduling for AI workloads, simulation, and chip design workflows. Build observability solutions using Grafana, Prometheus, and OpenTelemetry for monitoring pipelines, infrastructure, and compute clusters. Manage and optimize containerized environments using Docker and Kubernetes to enhance scalability and reproducibility. Enhance build, test, and deployment pipelines with CI/CD tools like GitHub Actions, Jenkins, Buildkite, or Bazel. Develop caching and artifact management systems to reduce build times and improve dependency resolution. Integrate and manage cloud resources (AWS, GCP) for scaling compute, storage, and hybrid workloads. Support security and compliance efforts including secrets management and access control. Document and share best practices for efficient developer tooling and workflows. You may be a good fit if you have Strong Python skills for automation, scripting, and infrastructure development. Experience with Slurm job scheduling in an HPC or hybrid environment. Hands-on experience with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry. Expertise with Docker and Kubernetes, including Helm charts and cluster management. Proficiency in modern CI/CD pipeline management with tools like GitHub Actions, Jenkins, or Buildkite. Experience with infrastructure-as-code tools like Terraform or Ansible. Knowledge of cloud infrastructure, compute, and storage optimization on AWS or GCP. Strong candidates may also have experience with Data pipelining for AI/ML workflows using Airflow, Prefect, or Dagster. Build system expertise with Bazel, CMake, or distributed build systems. Secrets management tools such as Vault, SOPS, AWS Secrets Manager, or GCP Secret Manager. AI/ML model training workflows and monitoring GPU-accelerated workloads. Exposure to FPGA or ASIC development environments and workflows. Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to West San Jose Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they're built or where they're deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You'll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You'll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own the design and execution of new products. Key Responsibilities: Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your work What We're Looking For: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong understanding of computer science fundamentals, including algorithms, data structures, and system design 6+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus) Strong understanding of distributed systems, cloud computing concepts, and RESTful API design Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholders Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure Experience with containerization and orchestration tools like Docker and Kubernetes Knowledge of industry-standard PKI and hardware security practices Why Join Us? Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments As a seed-stage startup, this role offers significant opportunities for learning and career growth Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Are you ready to make a significant impact by supporting critical national security infrastructure? T-Rex Solutions is looking for a fully cleared Senior Software Engineer 3 to join our dynamic team at Ft. Meade, MD in support of the Intelligence Community. We are seeking Frameworks developers (SWE1 and SWE3) for a high priority and highly visible malware analysis modernization program. The individual will work with a team of dynamic and innovative engineers to develop new capabilities supporting the front end processing of data for a mission critical tool. The individual will also support the modernization of the front end processing services. Responsibilities: Java Application (no front end necessary), REST • Agile • Ability to multitask and pivot to different tasks quickly • Experience with Atlassian tools, Git • Experience with IntelliJ or Eclipse IDE • Kubernetes • JMX Messaging (ActiveMQ, RabbitMQ, etc) (desired skill for SWE1) Desired Skills: • Kotlin • Mongo • Spring or Spring Boot • Python • NiFi Requirements: Bachelor's and 7 years of related experience or 14 years of related experience without a degree. Active TS/SCI w/ FSP required within 7 years. T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $120,000 - $190,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.