Senior mechanical engineer jobs in Fredericksburg, VA - 1,859 jobs

A leading AI technology firm in Washington seeks an AI Researcher to develop their innovative knowledge management platform. The ideal candidate holds a Master's degree and has 3+ years of experience in machine learning, NLP, and strong skills in deep learning frameworks such as PyTorch. The role offers a competitive salary of $160,000 - $175,000 per year, along with excellent benefits in a remote-first environment. #J-18808-Ljbffr

A leading health solutions company is seeking a Director of Engineering Clinical AI in Washington, D.C. to spearhead the development of AI technologies that improve clinical decision-making and patient outcomes. This role requires over 10 years in AI/ML project management, with an emphasis on leadership in healthcare settings. The position includes managing a talented team and ensuring compliance with medical standards. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

About Bitdeer Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan. What you will be responsible for Responsible for thermal and fluid simulation analysis of mining hardware, including power boards, heat sinks, and liquid-cooling modules. Perform component-level and system-level thermal design, ensuring optimal temperature performance and product reliability. Conduct CFD (Computational Fluid Dynamics) simulations to analyze airflow, pressure, temperature distribution, and flow resistance. Collaborate with electrical, mechanical, and PCB design teams to optimize cooling system layouts and improve heat dissipation performance. Define design requirements and provide technical guidance for selection of thermal components such as fans, heat pipes, cold plates, pumps, and radiators. Analyze thermal performance during product prototyping and validation stages, and provide design optimization recommendations. Support experimental validation to correlate simulation data with physical test results, ensuring model accuracy and reliability. Research and evaluate new cooling technologies, thermal materials, and architectures to improve product energy efficiency. Develop thermal design standards, best practices, and documentation to support product lifecycle management. Collaborate with global engineering teams to ensure consistent thermal design approaches and share technical learnings. How you will stand out Bachelor's or Master's degree in Thermal Engineering, Mechanical Engineering, Fluid Mechanics, or related field. Minimum 3-5 years of experience in thermal design or CFD simulation for electronics, servers, or data-center systems. Proficient in simulation tools such as Flotherm, Icepak, Fluent, or Ansys Mechanical for thermal/fluid analysis. Solid understanding of heat transfer, thermodynamics, and fluid dynamics principles. Experience in air-cooling and liquid-cooling system design, including component-level heat exchangers and integrated thermal modules. Familiar with materials, manufacturing methods, and mechanical structures related to heat sinks, vapor chambers, and cold plates. Ability to correlate simulation results with experimental data for performance validation. Strong analytical and problem-solving skills, with attention to accuracy and modeling detail. Excellent teamwork and communication skills to work closely with cross-functional R&D teams. Passion for innovation, energy efficiency, and continuous technical improvement in a fast-paced environment. What you will experience working with us A culture that values authenticity and diversity of thoughts and backgrounds; An inclusive and respectable environment with open workspaces and exciting start-up spirit; Fast-growing company with the chance to network with industrial pioneers and enthusiasts; Ability to contribute directly and make an impact on the future of the digital asset industry; Involvement in new projects, developing processes/systems; Personal accountability, autonomy, fast growth, and learning opportunities; Attractive welfare benefits and developmental opportunities such as training and mentoring. -------------------------------------------------------------------- Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union. #J-18808-Ljbffr

Why UKG At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you. About the Role As a Senior Principal Data Engineer within the Enterprise Data & Analytics Office, you will lead the design, evolution, and operational excellence of Nexus, UKG's unified, GCP-based data platform, enabling analytics, AI, and enterprise decision-making at scale. You will translate architectural vision into reliable, scalable, cost-efficient data systems, lead platform modernization efforts, and set the engineering bar for data ingestion, transformation, and operational analytics across UKG. Key Responsibilities Enterprise Data Engineering Leadership Drive the implementation of standardized medallion architecture (Bronze-Silver-Gold) across all domains. Establish and enforce engineering patterns for batch, streaming, CDC, and event-driven pipelines. Drive design patterns for Fact and Dimension modeling, data mesh, and change data capture (CDC). Platform & Pipeline Excellence Design and evolve scalable data pipelines using GCP-native services (BigQuery, GCS, Composer, Pub/Sub, Dataflow) and Databricks (Delta Lake, DLT). Ensure platform reliability, performance, and scalability for petabyte-scale analytics workloads. Lead engineering decisions around partitioning, clustering, query optimization, and cost controls (FinOps). Own observability standards (freshness, SLAs, error handling, monitoring). Engineering Standards, Quality & Governance Define and enforce engineering standards for data quality, testing, CI/CD, and production readiness. Implement automated data quality frameworks, lineage, and metadata integration in partnership with Data Governance and Architecture teams. Ensure all pipelines meet SOX, security, and auditability requirements. Partner with Architects to ensure engineering implementations align to enterprise reference architectures. Cross-Functional Delivery & Influence Partner with Product Managers, Product Owners, Architects, and Analytics leaders to deliver high-impact data capabilities. Act as the technical escalation point for complex production issues and platform risks. Influence roadmap decisions by balancing technical feasibility, delivery velocity, and long-term sustainability. Support ESE Agile delivery by enabling architecture runway and reducing technical blockers. Mentorship & Organizational Impact Mentor Principal, Senior, and Mid-level Data Engineers, raising the overall engineering maturity of the organization. Lead by example through design reviews, code reviews, and engineering forums. Build reusable frameworks, libraries, and accelerators that scale engineering productivity. Foster a culture of ownership, quality, and continuous improvement. Basic Qualifications 15+ years of experience in data engineering, data platforms, or large-scale analytics systems. Proven leadership delivering enterprise-scale data platforms and migrations. Deep hands‑on experience large (Petabyte) scale operating data platforms . Technical Expertise GCP (required): BigQuery, GCS, Cloud Composer, Pub/Sub, Dataflow, Dataform, Dataproc, Dataplex Databricks: Delta Lake, Delta Live Tables, Spark, Unity Catalog Strong proficiency in Python, SQL, Spark, and distributed systems Expertise in data modeling, ELT patterns, CDC, and streaming architectures Experience supporting AI/ML pipelines, feature stores, and analytics consumption Strong understanding of Dimensional Modeling, ELT and modern data lakehouse patterns. Leadership & Collaboration Proven ability to influence without authority across engineering, product, and architecture teams. Strong communication skills with both technical and executive audiences. Track record of mentoring senior engineers and leading complex initiatives. Preferred Qualifications Experience modernizing legacy warehouses and ETL platforms. Familiarity with Data Mesh execution and domain‑aligned data products. Experience implementing FinOps practices for analytics platforms. Exposure to AI/ML enablement, feature engineering, or agent‑driven analytics. Google Cloud certifications (Data Engineer, Architect) preferred Company Overview UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people‑first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster ******************************************************************************************** UKG participates in E-Verify. View the E-Verify posters here ******************************************************************************************** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email ****************** . The pay range for this position is $184,300.00 to $230,000 however, base pay offered may vary depending on skills, experience, job‑related knowledge and location. This position is also eligible for a short‑term incentive and a long‑term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at ********************************************* It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti‑discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay‑offs, terminations, leave of absence, and training opportunities. #J-18808-Ljbffr

JOB DESCRIPTION: The Cloud Solutions Network Engineer is part of the Cloud Center of Excellence (CCOE) and responsible for delivering on the transport solutions that will align the use of cloud services technologies to the published product roadmap. The Cloud Solutions Network Engineer will partner with cross functional teams to deliver integrations and patterns across the defined product line for deployment teams to consume DTCC cloud platform in AWS to meet critical technology and business requirements. A key responsibility is to influence roadmaps, create best practices, automate and deliver on networking requirements within the cloud platform while cultivating an enterprise technical strategy for cloud networking. Responsibilities Provide experienced leadership in developing the solutions for highly scalable, highly available, Cloud (IaaS, PaaS, SaaS) patterns and platform integrations Product ownership of secure and scalable cloud network services for self-service by business aligned delivery teams Facilitate meetings with business partners and technologies teams to build consensus and creating solution decisions without compromising delivery and/or service Work with enterprise network team to create cloud network standards, identify and mitigate risks with technology, and help drive solutions for the enterprise. Develop, maintain, and evolve cloud networking automation as part of the cloud platform deployment. Create, modify, and adapt cloud network solutions to keep the organization aligned between the business requirements and technology capabilities. Provide standards and platform(s) for future application development and help develop team members to utilize the technologies Provide insight into best practices with automation, system communication, transit standards, application network dependencies, throughput capacity capabilities and tuning, within network management on AWS Align existing application portfolio to cloud standards and services Be a highly motivated and active technology leader within multiple work streams and manage deliveries accordingly across multiple projects Review and evaluate new technologies that could be beneficial to the enterprise Ability to analyze problems, define solutions, and articulate those in a clear discernible manner. Connect with all levels of the organization, senior leadership to professional staff Keeps abreast of business, operational, and technology trends that may affect the portfolio and strategy Qualifications 10+ years of Engineer, design, and implementation of highly scalable, highly available infrastructure, solutions and services 5+ years of experience with Cloud (IaaS, PaaS, SaaS) services and solutions. AWS Certified Solutions Engineer, CCSK, TOGAF, SOA, and ITIL Demonstrated experience in working with cloud-based technologies (Amazon Web Services & Azure) in an enterprise computing environment. Experience with Infrastructure automation technologies (Terraform, Git) Experience managing security groups, NACLs, transit gateways, direct connections, firewalls, DNS, and network security tooling Understanding of Software Development Lifecycle Methodologies and delivery processes (Agile, Scrum, Kanban) In depth knowledge of application development including application servers, middleware, systems management, monitoring, configuration management, capacity planning and performance tuning, highly availability architectures. Proven DevOps expertise including automation and continuous delivery model Consistent track record for solution design and implementation of scalable, reliable, and high-performance application and database #J-18808-Ljbffr

A leading tech company is seeking a Senior Software Engineer to enhance user experience through strategic design of APIs and systems. This role offers a competitive salary of $140,000-$200,000/year, and focuses on Kotlin Multiplatform development. Join a diverse team that champions innovation and flexibility while impacting users with learning differences. Apply to help shape a transformative product! #J-18808-Ljbffr

We are seeking a highly experienced and security-minded Senior Staff Engineer - Backend & Cloud, Tech Lead to join our team in a hybrid capacity based in Seattle, WA. This role blends deep technical expertise with leadership responsibilities, requiring a strong foundation in backend development, cloud-native architecture, and infrastructure automation. The ideal candidate will lead engineering efforts while coordinating effectively with offshore teams to ensure delivery of scalable, secure, and maintainable systems. Responsibilities Participate in design, architecture and implementation of software systems solving complex problems. Includes defining, scoping and estimating stories and work artifacts. Ensure delivery of high quality, scalable, maintainable and well tested code Document designs. Provide on-call support for systems the team owns. Serve as the face of the offshore development team and stakeholders Act as the primary point of contact for Engineering Managers (EMs) and other onsite stakeholders Ensure effective communication and coordination between onsite and offshore teams Work with tech leads to align priorities, architecture decisions, and coding standards Break down epics and features into smaller technical stories for the offshore team Coordinate with other tech leads, ensuring that PR approvals follow defined processes Ensure offshore team participation in daily stand-ups and facilitate transparent status reporting Oversee delivery ownership for offshore contributions, ensuring timely and quality outcomes Manage knowledge transfer and attrition handling within the offshore team Handle issue escalation and proactively resolve blockers impacting the offshore team Provide progress updates and ensure accountability for the offshore team's commitments Qualifications 10+ years professional hands on experience delivering quality software Excellent proficiency in Java and Spring boot framework Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful architecture and micro services Proficiency with Cloud technologies (AWS, Kubernetes) GCP is a plus Must know modern infrastructure tools and pipelines (GitLab, CI/CD, Terraform) Test automation experience at all levels (Unit, Integration, Regression and Performance/Load) Familiar with logging and metrics tools (New Relic, Splunk) Should be able to articulate and architect a well-designed system Familiarity with relation databases is a plus Retail experience is a plus Understanding of modern warehouse management systems is a bonus Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful APIs, micro services and event driven architecture Proficiency with Cloud technologies (AWS, Kubernetes, Docker) GCP is a plus Must know modern infrastructure tools and pipelines (Github, GitLab, CI/CD, Terraform) Familiar with logging and telemetry tools (New Relic, Splunk, Dynatrace) Familiarity with relation databases We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit *************************************** #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

Clearance: TS/SCI Metric5 is seeking a highly experienced Senior DevSecOps Engineer to support the Cache team, leading efforts to design, automate, secure, and optimize mission‑critical cloud infrastructure in AWS GovCloud. The ideal candidate will have deep technical expertise in CI/CD pipelines, Infrastructure as Code (IaC), and security automation, with a proven track record of enabling secure and scalable solutions in compliance‑driven environments. This is a hands‑on engineering role requiring on‑site presence five days per week at the client location in Washington, DC. Responsibilities Architecture, Automation, and CI/CD Leadership Design and Implement CI/CD Pipelines: Lead the design, development, and maintenance of CI/CD pipelines (e.g., Jenkins, GitLab CI) to automate and accelerate application delivery, testing, and deployment into secure AWS environments. Infrastructure as Code (IaC): Architect, build, and manage scalable and resilient infrastructure using IaC tools such as Terraform or CloudFormation. AWS GovCloud Engineering: Design and maintain secure, compliant, and highly available systems in AWS GovCloud, ensuring adherence to FedRAMP and agency‑specific security requirements. Containerization & Serverless: Develop and manage containerized and serverless solutions using AWS Fargate, Lambda, and related services. System Optimization: Continuously monitor, troubleshoot, and optimize application performance, scalability, and cost efficiency. Security, Compliance, and Automation DevSecOps Integration: Embed security controls, vulnerability scanning, and compliance automation directly into CI/CD pipelines and infrastructure provisioning processes. Access Control and Monitoring: Implement and manage robust IAM policies, auditing mechanisms, and security posture assessments across environments. Compliance Adherence: Enforce FedRAMP and organizational security policies, ensuring full compliance of deployed infrastructure. Collaboration, Mentorship, and Problem Solving Cross‑Team Collaboration: Partner with development, cybersecurity, and operations teams to align DevSecOps strategies with mission goals. Technical Leadership: Provide mentorship to junior engineers, fostering a culture of automation, continuous improvement, and security‑first development. Incident Response: Lead root cause analyses and implement preventive measures to strengthen reliability and operational resilience. Required Qualifications 10+ years of DevOps or DevSecOps engineering experience with a focus on AWS services, CI/CD, and automation Expertise in AWS GovCloud and services such as Lambda, CloudFormation, Fargate, RDS, and ElastiCache Hands‑on experience implementing FedRAMP‑aligned or equivalent compliance frameworks Proficiency with Terraform or CloudFormation for IaC Strong scripting skills in Python, Java, or JavaScript/TypeScript Proven experience integrating security automation into DevOps processes Excellent communication and collaboration skills with both technical and non‑technical stakeholders Ability to lead complex technical initiatives and manage competing priorities Education & Certifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent experience Preferred Certification: AWS Certified DevOps Engineer - Professional Years of Experience: 10+ years of relevant experience Salary: $150,000 - $160,000 Annually Clearance: US Citizen with TS/SCI Clearance Location: The candidate must be local to the Washington, D.C. area and able to report on‑site. About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Benefits Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. 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. Metric5 is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Metric5's commitment to diversity and inclusive selection practices includes ensuring qualified long‑term unemployed job seekers receive equal consideration for employment. Equal employment opportunity, including veterans and individuals with disabilities. PI279548995 #J-18808-Ljbffr

The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full-stack software development experience, including 3+ years of React Native development Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience shipping and maintaining mobile applications on iOS and Android platforms Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React, Django, GraphQL, and infrastructure tools (Docker, Terraform) Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) development 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third-party integrations and data pipelines As an Atlantic Engineer, you will Hit the ground running to write, test, debug, document, and deploy code across our full stack, with a primary focus on mobile development in React Native. Partner with the Product and Design teams to collaboratively translate ambiguous requirements into well-scoped technical solutions. Participate in and contribute to code reviews, stand-ups, sprint planning, retrospectives, and technical documentation. Participate in on-call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear tradeoff analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. The role will at times include night, early-morning, and weekend work. As an Atlantic Engineer, you are A talented programmer: You are proficient in modern full stack web development. You can design a RESTful or GraphQL microservice with proper error handling, wire it up to a data model, run the app locally in a Docker container, write a frontend service to consume the data, and deploy it to production. You write clean, maintainable code. Knowledgeable: You work effectively within established architectures and follow industry best practices. You stay current with security, accessibility, and performance standards. Flexible: Although you typically work with a suite of proven tools, you are curious and open to new solutions and industry trends. You can evaluate whether a new technology genuinely solves an existing problem. A strong communicator: You communicate promptly, clearly, proactively, and empathetically with teammates and stakeholders. You can explain technical concepts to non-technical colleagues, provide constructive code review feedback, and surface risks early. A pragmatic technologist: You gravitate towards the simplest viable solution that balances current and near-term needs. You value quality, but a desire for perfection doesn't draw your work off of the critical path. A critical thinker: You think creatively and innovatively when approaching your work. Given a product requirement, you can break it into technical tasks, identify dependencies and risks, and execute with minimal oversight. Adaptable: You are excited to work on a variety of projects of different sizes, using different technologies. You are agile, a quick learner, and highly motivated to perform at the highest level. A team player: You take initiative in offering help to team members, including pair programming and knowledge sharing. You encourage and support the development of your teammates. You value team camaraderie and thrive in an environment fueled by discussion and debate. An interest in the pursuit of truth: You recognize the fundamental importance of journalism and have a desire to see it thrive Salary minimum: $115,000; Salary maximum: $150,000 This is a Guild Position Apply here: ******************************************************************************************************** #J-18808-Ljbffr

We're looking for a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing our Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. What You'll Do Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. What You Bring Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. Why You'll Love This Role You'll lead cloud innovation, work with cutting-edge technologies, and help shape the future of our enterprise infrastructure. If you're passionate about Azure and thrive in a fast-paced, collaborative environment, we want to hear from you.

A cybersecurity solutions firm in Washington seeks an experienced Cybersecurity Engineer. You will design and implement security controls, ensure compliance with regulations, and monitor for security anomalies. The ideal candidate has over 10 years of experience in cybersecurity, a Bachelor's degree in a relevant field, and holds a CISSP certification. Additionally, an active TS//SCI clearance is required for this position. This role offers an opportunity to work with cutting-edge security tools and frameworks. #J-18808-Ljbffr

Analytica LLC is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. The role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission‑critical operations while ensuring compliance with responsible AI principles. Analytica has been recognized by Inc. Magazine as one of the fastest‑growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day‑to‑day lives. The company offers competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Systems Integration & Command‑and‑Control Development: Serve as subject matter expert for systems integration supporting the design, development, and deployment of command‑and‑control products Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments Design and implement robust MLOps pipelines that support real‑time decision‑making capabilities for defense applications Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD‑wide adoption Build and maintain scalable infrastructure to handle massive‑scale video, image, structured and unstructured text data processing Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting‑edge ML capabilities Advanced Technology Pipeline Development: Establish and maintain an enterprise‑level advanced technology pipeline to accelerate AI/ML adoption across the agency. Implement data quality monitoring, validation, and governance frameworks to ensure high‑quality training datasets Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments Partnership Optimization & Process Development: Support the development of optimization models for government engagement with external partners and technology vendors Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards Develop vendor assessment criteria and integration protocols for AI/ML technologies and services Documentation & Knowledge Management: Create, iterate, and publish comprehensive guidance materials for data science and AI development practices Develop and maintain coding standards and best practices documentation for ML development teams Establish documentation standards for model versioning, experiment tracking, and deployment procedures Design and implement data integration solutions that support enterprise data mesh architecture Develop real‑time data feed integration capabilities for live operational data streams Build APIs and microservices that enable seamless data sharing across DoD systems and applications Ensure data interoperability standards compliance across diverse defense systems and platforms Responsible AI Implementation & Governance: Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance Prepare executive‑level reports and briefings on responsible AI implementation progress and recommendations Performance Monitoring & Evaluation: Establish MLOps monitoring and observability solutions for production ML systems Develop automated model performance tracking, drift detection, and retraining pipelines Create dashboards and reporting tools that provide visibility into ML system performance and reliability Conduct post‑deployment analysis and continuous improvement of ML operations processes Required Qualifications Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred Minimum 7‑10 years of experience in MLOps, DevOps, or related systems engineering roles Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit‑learn), containerization (Docker, Kubernetes), and cloud platforms Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop) Knowledge of government compliance requirements, security frameworks, and responsible AI principles Preferred Qualifications Experience with defense or intelligence community AI/ML projects Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools Knowledge of responsible AI frameworks and bias detection methodologies Experience with real‑time data processing and streaming technologies Familiarity with DoD enterprise architecture and data sharing standards Current security clearance or ability to obtain required clearance level Equal Opportunity Employment Statement Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind and provide reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws. #J-18808-Ljbffr

A compliance SaaS leader based in Washington, DC, is looking for a Web Experience Manager to oversee website management and optimize user engagement. This role involves hands-on SEO strategy implementation, conversion rate optimization, and collaborating with stakeholders to enhance the web presence. Candidates should have 4-6 years of experience in web marketing and strong skills in tools like WordPress, HubSpot, and GA4. Competitive compensation ranges from $82,500-$99,000 annually. #J-18808-Ljbffr

A major financial institution in Washington is seeking a Cloud Detection Engineer for its Cyber Security Operations team. This role requires over 8 years of experience in Cyber Security with specific skills in AWS security and detection engineering. The ideal candidate will focus on improving detection capabilities and reducing alert fatigue using tools like Splunk, collaborating with various teams to protect the organization's assets. This position offers a competitive salary range and industry-leading benefits. #J-18808-Ljbffr

A leading technology company is seeking a Senior Engineer to join their Platform Engineering team in McLean, Virginia. The role involves designing and implementing solutions for their Kubernetes platform, automating infrastructure, and collaborating with diverse teams. Applicants should have at least 5 years of experience in infrastructure, a Bachelor's degree in a related field, strong Kubernetes knowledge, and excellent communication skills. This role supports federal contracts, requiring U.S. citizenship. Competitive compensation and flexible work arrangement offered. #J-18808-Ljbffr

About Bitdeer Bitdeer Technologies Group (Nasdaq: BTDR) is a world‑leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan. What you will be responsible for Responsible for PCB layout design, layer stack‑up planning, and routing for high‑speed, high‑density, and high‑power mining hardware systems. Collaborate with global hardware, mechanical, and thermal design teams to ensure layout manufacturability, mechanical compatibility, and electrical integrity. Perform signal integrity (SI) and power integrity (PI) simulations to verify layout quality and optimize electrical performance. Define PCB design rules, constraints, and standards, including impedance control, differential pair routing, and trace length matching. Conduct DFM (Design for Manufacturing) and DFA (Design for Assembly) checks to ensure production readiness and yield optimization. Participate in schematic reviews to propose improvements on component placement, grounding schemes, and decoupling strategies. Work with suppliers and PCB vendors to define material stack‑up, layer configuration, and ensure process capability compliance. Support prototype bring‑up, signal measurement, and issue analysis using high‑speed testing tools such as oscilloscopes and TDRs. Maintain and manage all layout‑related documentation, including Gerber files, fabrication drawings, and version control records. Stay updated with the latest PCB layout technologies, simulation tools, and design methodologies for continuous improvement. How you will stand out Bachelor's degree or above in Electrical, Electronic, or Computer Engineering. Minimum 3 years of PCB layout experience in server, ASIC mining, or data‑center hardware development. Proficient in Cadence Allegro, Altium Designer, or Mentor Graphics for high‑speed PCB layout design and constraint management. Strong understanding of Signal Integrity (SI) and Power Integrity (PI) concepts, including impedance control and crosstalk analysis. Familiar with high‑speed interfaces such as PCIe, DDR, USB, and Ethernet, as well as low‑speed communication buses (I²C, SPI, UART). Knowledge in multi‑layer board stack‑up design, return path control, and grounding optimization. Experience with SI/PI simulation tools (e.g., Sigrity, HyperLynx, ADS) is preferred. Understanding of PCB fabrication processes, material characteristics, and controlled impedance techniques. Strong documentation discipline and familiarity with revision control systems. Excellent teamwork, communication, and problem‑solving skills in a fast‑paced, innovation‑driven global R&D environment. What you will experience working with us A culture that values authenticity and diversity of thoughts and backgrounds. An inclusive and respectable environment with open workspaces and exciting start‑up spirit. Fast‑growing company with the chance to network with industrial pioneers and enthusiasts. Ability to contribute directly and make an impact on the future of the digital asset industry. Involvement in new projects, developing processes/systems. Personal accountability, autonomy, fast growth, and learning opportunities. Attractive welfare benefits and developmental opportunities such as training and mentoring. -------------------------------------------------------------------- Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union. #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

A leading media organization is seeking a talented Senior Engineer to join their team in Washington, D.C. You will contribute to enhancing their Pulitzer Prize-winning journalism through technology, focusing on mobile development using React Native. The ideal candidate will have extensive experience in full-stack development, including solid skills in JavaScript and cloud-based infrastructure. The role offers a competitive salary range of $115,000 to $150,000 and emphasizes teamwork, innovation, and communication. #J-18808-Ljbffr