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Job Description We are searching for a Systems Administrator to join the Reston, VA location of the Digital Engineering Department in the Cyber, Modeling, and Simulation Division of the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. You will maintain the integrity of various high-performance computing (HPC) systems including operating systems, physical servers/workstations, and applications; administer, install, and troubleshoot a variety of Cloud tooling and applications, perform systems maintenance tasks such as troubleshooting and performance evaluation as well as back-up and recovery; perform configuration changes to address customer needs; schedule, install, and test system software upgrades; monitor and maintain software licensing. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply You will: Install, configure, maintain, upgrade, and support systems and software with a focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Develop plans, schedules, and requirements for deployment of systems Create or improve existing scripts and tooling to aid in systems management Diagnose, troubleshoot, and resolve server, workstation, and audio-visual (A/V) issues and/or respond to outages during normal working hours Resolve service-related issues; determine immediate economic and financial consequences of an incident Test and implement upgrades and patches to installed operating systems, software container orchestration platforms (Kubernetes), and modeling & simulation (M&S) applications Maintain reliability of systems by monitoring, running tests, and troubleshooting Monitor backups and plans for installed systems Monitor, maintain, and execute automation processes and CI/CD pipelines Evaluate and recommend new or existing system improvements and/or solutions Create and maintain system documentation of our processes, procedures, plans, and configurations May supervise staff members, including hiring, development, and performance management Required Skills/Experience areas to include: Ability to install, configure, maintain, upgrade, and support systems and software, with a strong focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Skilled in diagnosing, troubleshooting, and resolving server, workstation, and audio-visual (A/V) issues, including responding to system outages during normal business hours Proficiency in testing and implementing upgrades and patches for operating systems, Kubernetes-based container orchestration platforms, and modeling and simulation (M&S) applications Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Your working location will be fully onsite, located in Reston , VA.

Job Description Senior Hardware Engineer Location - Tarrytown, NY. - Onsite Contract/Full time Must-Have Skills: - PCB Design / Analog /Mix Signal / Digital. 8-15 years of Hardware design experience. Analog, Digital & Mixed-Signal Design, Experience with signal integrity techniques and layout constraints. High-Speed PCB Design (Ethernet, USB, SPI, I2C, CAN) PCB Design, DFM, DFT, SI/PI Analysis Key Responsibilities Hands on PCB hardware design, new product development activities. Perform schematic reviews, component selection, PCB design reviews, and hardware validation. Design and develop electrical/electronic hardware and subsystem characterization/test equipment. Develop new concepts, including component selection and block diagrams . Create and maintain wiring diagrams, schematics, 2D/3D models and BOMs . Design/build electronics and manual or semi-automated test systems . Integrate electrical hardware with software/firmware and troubleshoot complex subsystem-level issues. Modify and review existing designs and execute engineering changes. Support PCBA, assemblies, prototypes, jigs and test fixtures . Perform design verification/validation and participate in reliability activities, including RCA/8D, FMEA, failure analysis and design reviews .

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About Photon Photon is a Digital Engineering and Digital Modernization company founded in 1999, partnering with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and experiences. Job Summary We are seeking an experienced Senior DevOps Engineer to own and manage infrastructure, CI/CD pipelines, and cloud operations. In this role, you will build secure, automated, and repeatable platforms that enable engineering teams to deliver software quickly, reliably, and safely. The ideal candidate will have strong expertise in cloud infrastructure, Terraform, Jenkins, Docker, automation, and infrastructure management, as well as a solid understanding of security, monitoring, and reliability best practices. Key Responsibilities Provision, configure, and manage cloud infrastructure on GCP and/or AWS using Terraform and infrastructure-as-code best practices. Design, maintain, and continuously improve CI/CD pipelines using Jenkins. Containerize applications using Docker and support container-based deployment workflows. Develop and maintain automation scripts using Bash, Python, or similar scripting languages to reduce manual operational tasks. Implement and maintain monitoring, logging, alerting, and incident response processes. Drive cloud security, access control, cost optimization, and infrastructure reliability improvements. Collaborate with development and QA teams to streamline build, testing, and release processes. Identify opportunities to improve infrastructure automation, deployment efficiency, and operational stability. Mentor team members and promote DevOps best practices across engineering teams. Required Skills and Qualifications 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or infrastructure engineering. Bachelor's degree in Computer Science or equivalent. Expert-level hands-on experience with Terraform and infrastructure-as-code practices. Strong hands-on experience designing, developing, and maintaining Jenkins pipelines. Production-level experience managing cloud environments using GCP and/or AWS. Proficiency in Docker and containerization technologies. Strong scripting skills using Bash, Python, or similar languages. Solid understanding of networking concepts, cloud security, and access control. Strong experience with Linux administration. Understanding of infrastructure reliability, monitoring, and operational best practices. Preferred Qualifications Experience with Kubernetes and Helm for container orchestration and deployment management. Familiarity with observability and monitoring tools such as Prometheus, Grafana, and Datadog. Experience with GitOps practices and policy-as-code frameworks.

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled tools that Dekker teams and clients rely on, balancing internal software and integrations with data engineering and analytics work for billable and firmwide projects. Success is measured by software and data products that people use, that hold up in production, and that others can maintain. Responsibilities Collaboratively engages in project work, serving as lead technical contributor on internal and client-facing software and data projects Designs, develops, and maintains full-stack applications, APIs, and integrations using current web frameworks, C#/.NET, Python, and other necessary technologies Builds and extends tools for the firm's production platforms, including Revit/BIM add-ins, apps + integrations, and Deltek Vantagepoint data connections Designs, builds, and maintains data pipelines, data models, and data tooling that support billable analytics, internal reporting, and firm applications Supports data science and analytics work by preparing datasets, putting models into production, and building the tools and dashboards that deliver results to clients and project teams Develops AI-enabled tools and automations, integrating large language models and other AI services in line with the Dekker AI Policy Contributes to digital twin and building-data applications, including integration of BIM, IoT/sensor, and operational data Works directly with clients/end users to understand workflows, identify needs, and refine features through feedback Creates, introduces, and maintains software and data standards, including architecture, version control, testing, code review, data validation, documentation, and deployment pipelines Supports released tools and data products in production, including monitoring, issue resolution, and planned updates or sunset Collaborates with the Managing Director, Systems + Security on authentication, access, data governance, and security for all Dekker software and data Mentors and provides technical guidance to less experienced team members, including through code review In collaboration with DekkerU team, provides training and documentation for tools developed by Advanced Technology Identifies and communicates project progress, accomplishments, challenges, and support needed to complete responsibilities Responsibilities Bachelor's degree in computer science, software engineering, data science, data engineering, engineering, or related discipline, or equivalent work experience 6+ years of professional software development experience, including work on data-intensive applications Strong proficiency in Python and SQL, plus a modern web stack (e.g., TypeScript/JavaScript with React or similar) and/or C#/.NET Experience building and operating data pipelines and data models, including orchestration and data quality validation Experience designing and consuming REST or GraphQL APIs and integrating third-party platforms, including authentication (OAuth/SSO) Experience deploying and supporting applications on a cloud platform such as Azure, with CI/CD pipelines and automated testing Working knowledge of data science and analytics methods, and experience with data visualization tools such as Power BI or code-based visualization Deep understanding of AI and machine learning, including large language models, retrieval, evaluation, and responsible use, is a major plus Digital twin experience, including BIM, IoT/sensor data, or real-time 3D platforms such as Unity, Unreal, or Omniverse, is a major plus Experience with the Revit API or other BIM/CAD tools, apps, or Deltek Vantagepoint is a significant plus but not required Previous experience operating in an Agile environment Strong written, graphic, and verbal communication skills, including working directly with non-technical users Excellent problem-solving, collaboration, and consultation skills Experience with Pink Lemonade analytical design helpful but not required Dekker offers competitive benefits and salary packages based on education and experience. For a full list of our benefit options, please visit our careers page. Dekker is a family of designers, planners, architects, and engineers, intent on creating passion for the built environment through our work. We believe that architecture and design can be transformational and that it must serve more than just a functional role. It should inspire, protect, delight, and empower users and entire communities. We believe the most innovative designs are created through a multi-faceted perspective of places, people, and their processes. Collaboration, empathy, and understanding, combined with passion and expertise can shape our experiences and our environments. We strive to tune our ability to see things through the eyes, hearts, and minds of our clients. If you think your vision, passion, and experience would enhance ours, we'd love to meet you. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

Job Description Job Description Company Description Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems . Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We do not accept unsolicited resumes from third-party recruiters. Job Description RESPEC is seeking a Senior Scientific Software Engineer to support scientific computing work for a large National Laboratory. You'll help sustain and modernize computational modeling software used in a high-consequence environment, with a focus on reliable, maintainable code and performance on Linux and HPC systems. Core Responsibilities Sustain, analyze, and modernize scientific software, including legacy systems. Refactor code to improve portability, efficiency, maintainability, and stability. Support computational modeling across conceptual, process, and numerical models. Debug, profile, benchmark, and assess software performance and scalability. Support Linux development, HPC workflows, and job-scheduler use. Apply software quality practices, testing, and verification and validation. Document source code, technical debt, risks, and software workflows. Support reproducible builds, scientific data workflows, and migration readiness. Perform work in accordance with applicable Nuclear Quality Assurance (NQA-1) requirements. Qualifications Required Technical Experience Master's degree in computer science, engineering, or a related discipline, such as environmental science, mathematics, or physics, and at least 5 years of relevant experience in computational modeling, software development, and documentation; or Bachelor's degree in a related discipline and at least 10 years of relevant experience. Recent project experience At least one project within the 5 years preceding the response deadline involving both computational modeling and software development in a regulated, safety-critical, high-consequence, or equivalent mission-critical environment. Ability to describe the project's environment, tasks, responsibilities, and deliverables, and explain why the work was high-consequence or mission-critical. Technical skills Scientific programming with Fortran, Python, and C and/or C++ . GNU/Linux or equivalent development environments, including build, compilation, and debugging toolchains. HPC systems and job schedulers such as Slurm or equivalent. Bash or equivalent Unix/Linux shell scripting. Software quality practices, testing, and scientific data formats and workflows. Debugging, profiling, performance analysis, and legacy-code modernization. Git or equivalent version control and reproducible builds. Source-code documentation tools such as Doxygen or equivalent. Python 2 and Python 3 C and C++ OpenMPI, MPICH, or Intel MPI Serial and parallel scientific codes Additional Information Featured benefits: Flexible Work Schedules Paid Parental Leave 401(k) & ESOP (with company match up to 4%) Professional Development and Training Tuition Reimbursement Employee Assistance Program Medical/Dental/Vision Insurance Plans All your information will be kept confidential according to EEO guidelines.