Systems Engineer jobs at Noblis - 7491 jobs

Government IT Division REMOTE MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer‑centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well‑being of our clients. Our commitment to excellence and our “Mission First” orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran‑owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2. Senior Information System Security Engineer / Solutions Architect Location: Remote - must be within US and able to obtain Public Trust Clearance - US Citizen Pay: $100,000 - $120,000 annually (based on qualifications). Full Government benefits (W‑2) Job type: Contract We are seeking a hands‑on Senior Information System Security Engineer / Solutions Architect who will also serve as the Information System Security Engineer (ISSE) for key cybersecurity systems supporting the Department of Veterans Affairs (VA). This role is ideal for someone with deep technical engineering skills, cloud and DevSecOps experience. This individual will also lead teams to develop and implement technical solutions to remediate vulnerabilities and other complex cybersecurity challenges. Candidates will have a solutions‑oriented mindset to help the VA problem‑solve complex cybersecurity and IT challenges. The candidates should also be well‑versed with facilitating working sessions and have the ability to distill complex concepts into non‑technical/common language. The role will focus on analyzing and recommending system security architectures, vulnerability mitigation, policy‑driven compliance implementation, and full‑lifecycle support for the Department of Veteran's Affairs systems. Key Responsibilities Cybersecurity Engineering & Architecture (Primary) Analyze complex technical findings and determine necessary resources needed to solve problem‑sets across multiple cybersecurity and technical domains Partner with technical teams to develop and implement technical solutions Design, build, and deploy secure cloud‑native architectures and infrastructure components for VA information systems Develop and maintain CI/CD pipelines with integrated security scanning, policy enforcement, and remediation tools Implement secure infrastructure as code/policy as code using tools such as Terraform/CloudFormation, including writing and implementing PaC scripts Align security architectures with Federal Zero Trust strategy, VA directives, and OMB policies Enable automation of system telemetry and analytics pipelines for cyber situational awareness ISSEResponsibilities Provide engineering and technical analysis on behalf of Agency Authorizing Officials (AOs) for System Security Plans (SSPs), Risk Assessments, Security Controls Traceability Matrices (SCTMs), and POA&Ms Support system authorization and compliance activities including continuous monitoring and system audits Conduct regular and ad‑hoc analysis of security control findings and develop and implement remediation strategies Minimum Qualifications Bachelor's degree in computer science, engineering, or technical equivalent with 10 years of technical experience or a total of 18 years in lieu of education 8+ years of security engineering, DevSecOps, or cloud architecture experience Expertise in securing platforms hosted in AWS GovCloud and Azure Government Strong experience with NIST RMF, FISMA, FedRAMP, and Zero Trust architecture implementation Hands‑on skills in IaC tools like Terraform and CI/CD tools such as GitLab/Jenkins, with ability to adopt new technologies if procured by the agency Experience with network isolation tools such as Palo Alto Next Generation Firewalls (NGFW) and Juniper Mist Network Access Control (NAC) solutions or comparable Demonstrated experience securing modern applications, APIs, and automated infrastructure Excellent written and oral communication skills; ability to explain complex, technical information in easily understood terms; ability to brief Senior VA leadership regularly U.S. Citizenship and ability to obtain Public Trust clearance Preferred Qualifications Prior VA experience supporting VA OIS or major cybersecurity initiatives Experience authoring and maintaining ATO documentation in VA or HHS environments Experience with IoT/IoMT security solutions is a plus Knowledge of federal cybersecurity standards Equal Employment Opportunity Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affinitive Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. As set forth in MKS2 Technologies's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Voluntary Self‑Identification For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. #J-18808-Ljbffr

A state legal authority in California is seeking an Infrastructure and Cloud Engineer to manage its hybrid cloud and on-premises infrastructure. This role involves optimizing performance across enterprise platforms like Microsoft Azure and SQL Server while supporting a collaborative environment. The ideal candidate will have a Bachelor's degree and two years of relevant experience. This position allows for remote work up to four days a week, reflecting a commitment to work-life balance and modern workplace practices. #J-18808-Ljbffr

Office of Information Technology Annual Salary Range: $95,784 - $127,713 FLSA Exempt / Union Represented allows for up to four days of remote work per week About the Office The Office of Information Technology (IT) is responsible for enabling State Bar's internal and external stakeholders by the management, implementation, and maintenance of technology that supports the State Bar's mission and goals. The office's primary goals are to build and maintain functional capabilities, support innovation, and ensure that all systems are running smoothly, efficiently, and securely to meet the needs of the organization and its stakeholders. Job Overview The Office of Information Technology is seeking an Infrastructure and Cloud Engineer to administer, support, and optimize the State Bar's hybrid cloud and on-premises infrastructure. This role supports core enterprise platforms including Microsoft Azure, Microsoft 365, Windows Server, Active Directory and Entra ID, virtualization technologies, SQL Server, enterprise storage, and network and telecommunications systems. The engineer plays a key role in infrastructure modernization and cloud transformation, improving operational efficiency and service reliability across a multi-site enterprise environment. The position works across cloud, server, identity, networking, storage, and endpoint management domains and collaborates closely with cybersecurity, application teams, and vendor partners to support secure and resilient enterprise operations. The Ideal Candidate The ideal candidate has a solid foundation in cloud and infrastructure technologies and has expertise across areas such as Azure, Microsoft 365, Windows Server, identity services, networking, storage, and endpoint management in a hybrid environment. They are curious, willing to learn, and able to apply their skills across a variety of technical tasks. They work independently, bring a growth mindset, and collaborate well with others. They communicate clearly, stay organized, and approach problem‑solving in a steady and thoughtful way. They are dependable, take ownership of their work, and are motivated to contribute to meaningful projects as part of a collaborative, service‑oriented team at the State Bar. Definition Under general direction, performs professional duties related to the analysis, development, maintenance and administration of computer hardware and software systems to meet business needs. Incumbents may perform any of the following functions: analyzes, designs, monitors and administers servers and related platforms; designs, maintains, configures and monitors network, website, and/or telecommunications infrastructures and related system components; consults with departmental customers to identify and analyze business functions that can be improved by the implementation of new hardware and/or software solutions; designs and develops custom applications and/or enhances/modifies existing applications; performs professional‑level systems maintenance and customer support duties; and performs other related duties as assigned. IT Analysts will have a primary concentration in Applications, Database, System/Server/Platform Analysis, Website design and development, or Network and Telecommunications Analysis/Administration. Distinguishing Characteristics IT Analyst I This is the entry‑level class in the IT Analyst series. Positions in this class are typically distinguished from the IT Analyst II by the performance of less than the full range of duties assigned to the series, work on less complex matters, and under more direct supervision. IT Analyst II This is the journey‑level class in the IT Analyst series. Positions in this class are distinguished from the Information Technology Analyst I by the performance of the full ranges of duties; work on more complex matters, and under less direct supervision. Positions in this class are flexibly staffed and are normally filled by advancement from the entry level. Examples of Essential Duties Evaluates customer technical needs and recommends solutions; plans, determines requirements, designs, builds, customizes, tests, implements, maintains and/or enhances a variety of hardware and software systems, integrating State Bar network infrastructure and/or other systems; considers protocols, acceptable system security risk, and other related elements. Provides professional customer support for system‑related software and/or hardware issues, needs, or requirements. Interacts with clients to analyze system requirements; recommends technology solutions to improve operations. Determines and develops cost benefit analyses related to recommended technical solutions; evaluates risk options; ensures project compliance with State Bar procedures or protocols, budgetary constraints and staff/resource utilization. Responsible for the coordination and completion of projects that are limited in scope and/or specific to area of assignment; develops and monitors project budgets and resources; interfaces with clients to define project scope and review project activities, recommendations and outcomes; coordinates the use of project resources based on project requirements; designs and implements project testing and quality assurance processes. Coordinates information technology activities of State Bar departments and/or vendors consistent with project plans; identifies and resolves obstacles to progress; prepares for and manages delivery and installation. Prepares technical documentations, procedural plans, reports, correspondence and other documents; participates on committees and task forces; attends meetings, conferences and training sessions. Builds and maintains positive and professional working relationships with co‑workers, other State Bar employees, vendors, and the public, using principles of good customer services. Exercises technical or functional supervision over technical staff, other professional staff on a project basis and contractors/vendors. Provides after hours technology support as required. Performs other related duties as assigned. Job Specific Examples of Essential Duties Manage and optimize cloud infrastructure across IaaS, PaaS, and hybrid environments. Administer and support Microsoft 365 services including Exchange Online, Teams, SharePoint, OneDrive, and related identity, security, and compliance configurations. Monitor and optimize performance across server, network, storage, cloud, and database systems using appropriate tools and analytics. Administer Windows Servers and Azure VMware Solution, including configuration, maintenance, upgrades, patching, and restoration procedures. Design, configure, install, and maintain enterprise network infrastructure including wireless equipment, switches, cabling, and related hardware. Troubleshoot and resolve network and system connectivity issues. Develop and maintain network access, security, and change‑control procedures. Analyze business needs and prepare technical design specifications for network solutions. Design, implement, and maintain telecommunications systems including telephone and audio‑visual systems. Administer and maintain SQL Server environments, including tuning, indexing, optimization, backup, recovery, and high‑availability/disaster‑recovery operations. Implement and test backup, recovery, and restoration procedures for storage systems. Prepare documentation and operational procedures for storage management and recovery. Prepare system documentation, business analysis, and technical design specifications for infrastructure, network, storage, and telecommunications solutions. Lead and coordinate technical infrastructure projects to meet requirements, standards, and timelines. Provide customer support and deliver user and technical training related to infrastructure services. Coordinate procurement activities and vendor partnerships across infrastructure, network, storage, audio‑visual, and database cloud systems. Support identity lifecycle operations in Active Directory and Entra ID. Administer Microsoft Intune for device provisioning, compliance, application deployment, and endpoint configuration. Administer ManageEngine AD Manager Plus and M365 Manager Plus for reporting and provisioning workflows. Provide infrastructure data and system insights to assist cybersecurity teams with audits, assessments, and incident response. Employment Standards Knowledge of: General operations, services, concepts terms and activities common to a comprehensive state‑of‑the‑art information systems program. Principles, methods and techniques used in designing, developing, testing and implementing computer hardware and software systems. Data processing techniques, including the types of hardware and software currently used to process data with different levels of complexity. Structured analysis and database concepts. Computer hardware and software systems similar to those used by the State Bar. Tools and equipment used in testing the functionality of computer applications. Principles and practices of troubleshooting computer hardware, software and network problems, security issues, threats, vulnerabilities, and attacks. Principles and practices of customer service. Methods and techniques of developing and presenting technical documentation and training materials. Principles and practices of recordkeeping, modern office procedures, methods and equipment. Job Specific Employment Standards Knowledge of: General operations, services, concepts terms and activities common to a comprehensive state‑of‑the‑art information systems program. Principles, methods and techniques used in designing, developing, testing and implementing computer hardware and software systems. Data processing techniques, including the types of hardware and software currently used to process data with different levels of complexity. Structured analysis and database concepts. Computer hardware and software systems similar to those used by the State Bar. Tools and equipment used in testing the functionality of computer applications. Principles and practices of troubleshooting computer hardware, software and network problems, security issues, threats, vulnerabilities, and attacks. Principles and practices of customer service. Methods and techniques of developing and presenting technical documentation and training materials. Principles and practices of recordkeeping, modern office procedures, methods and equipment. Desired Knowledge Azure infrastructure operations, optimization practices, and Azure VMware Solution. Microsoft 365 administration including Exchange Online, Teams, SharePoint, OneDrive, and related security and compliance controls. PowerShell or VBScript for automation and system management. Tools and methods for monitoring performance, logs, alerts, and system health across infrastructure environments. Windows Server and Active Directory administration including Group Policy, DNS, and identity security configuration. Network routing, switching, wireless technologies, and network security principles. Firewalls, routers, switches, and enterprise networking platforms including Cisco technologies. Telephone and audio‑visual technologies and their operational principles. SQL Server administration and hybrid database environments including tuning, indexing, security, clustering, high availability, and Azure SQL Managed Instance. SAN and enterprise storage technologies including fiber channel. Backup, recovery, and disaster recovery concepts including snapshots, mirroring, and failover. Entra ID directory services and identity lifecycle operations. Microsoft Intune device and endpoint management concepts. ManageEngine AD Manager Plus and M365 Manager Plus administration. Ability to: Gather, analyze and evaluate data and information in order to reason logically, draw valid conclusions, take appropriate actions and/or make appropriate recommendations. Learn to research, design, implement and maintain various hardware and software technology solutions, including new technology. Communicate technical information to a wide variety of users. Learn, interpret and explain pertinent State Bar and department policies and procedures. Plan, organize, prioritize and process work to ensure that deadlines are met. Learn and utilize specialized terminology, if needed, and interpret and apply technical information pertaining to computer and network systems. Adapt quickly to changes in policies, procedures, assignments and work locations. Communicate effectively, both orally and in writing. Establish and maintain effective working relationships within and outside the department. Learn to prepare and maintain documentation for procedures, processes, and tables related to area of assignment. Learn to identify and resolve system performance and security issues. Read, comprehend and retain technical information on computer products and systems. Desired Ability: Lead and coordinate technical projects, manage tasks, and support long‑term infrastructure planning. Use monitoring and analytics tools to evaluate system performance, identify issues, and implement corrective actions. Install, configure, secure, and optimize server platforms. Administer and troubleshoot Microsoft 365 services and related security compliance features. Plan, design, install, and document network infrastructure including routing, switching, wireless, and connectivity components. Monitor, optimize, and troubleshoot network performance and security. Troubleshoot and maintain enterprise network systems. Administer SQL Server environments including tuning, security, health monitoring, optimization, migration, and high‑availability disaster‑recovery operations. Maintain and support enterprise backup, recovery, and storage solutions. Monitor storage performance and support restoration operations. Collaborate with cybersecurity teams by providing system‑level data and operational support during audits and incident response. Minimum Qualifications Education: Bachelor's degree in a field that develops skills related to essential duties, or equivalent academic achievement. Experience: Two (2) years of fulltime, progressively responsible experience in the analysis and troubleshooting of computer applications and operations is desirable. License, Certificate, Registration Requirements: Possession of approved information technology certificates and/or completion of other approved technology‑related training may substitute for some or all of the required education; certification or equivalent training hours is equal to one (1) year of education. Applicants who meet the Minimum Qualifications will be required to successfully complete the State Bar's selection process for this classification. About the State Bar The State Bar of California's mission is to protect the public and includes the primary functions of licensing, regulation, and discipline of attorneys; the advancement of the ethical and competent practice of law; and support of efforts for greater access to, and inclusion in, the legal system. Our Values Clarity | Investing in Our People | Excellence | Respect | Growth Mindset DEI Statement We are a diverse, equitable, and inclusive workplace where all of our employees and prospective employees experience fairness, dignity, and respect. Learn more about our values. Learn more about our commitment to DEI. #J-18808-Ljbffr

A technology company is seeking a Senior Software Engineer based in California. You will play a pivotal role in designing scalable software systems, leading projects, and mentoring junior developers. Your responsibilities include optimizing existing code, implementing innovative solutions, and collaborating with cross-functional teams. Candidates should have a minimum of 5 years in software engineering focusing on backend development, with proficiency in multiple programming languages and a Bachelor's degree in a relevant field. The position offers remote work flexibility and industry-leading benefits. #J-18808-Ljbffr

Charter: Build data systems that fuel the first scientific AI to replace lab and animal toxicity experiments. and the role: We're building AI systems for drug safety and toxicity assessment. Drug toxicity causes about half of drug program failures and by tackling it we can help drug discovery teams across the industry bring new medicines to patients far faster. We're looking for a data engineer who's excited to own the pipelines, systems, and tooling that turn raw chemical, biological, and clinical data into ML‑ready training data and into customer‑ready insights. You'll work closely with our ML, lab, and product teams to build LLM‑driven literature research and data platforms, scale inference of image and graph neural networks, automate ETL from diverse sources, and ensure the integrity of datasets that drive critical decisions internally and externally. This role is ideal for someone who wants to build clean, reliable systems that directly impact the success of hundreds of drug programs. What are we looking for: We want to hire people who inspire us and level up the entire team. They should be high energy, high agency, and have great taste for what matters. They should have a relentless “observe, orient, decide, act” loop, and be constantly identifying what needs to happen and getting it done. They need to be technically excellent and obsessive masters of their craft, as well as having a great curiosity which will keep them at the frontier of tech and help them interface between AI, engineering, product, biology, chemistry, and business. They could work in big tech, but it won't satisfy them. They want to go on an adventure which will be brutally challenging, and to share in the rewards and satisfaction at its end. What you will be doing: Lead Axiom's evolution into a world‑class engineering company focused on enterprise ML software Design and build the core infrastructure that powers Axiom's enterprise ML systems, including model evaluation/deployment, model inference/serving, and customer data management Architect scalable systems for inference, storage, and retrieval of chemical, biological, and clinical data Deploy large‑scale reasoning agents from research environments into production, integrating them into on‑prem customer‑facing products and infrastructure Teach and empower scientists across ML, chemistry, and biology to become great engineers by instilling a great engineering culture Various expertise which gets us interested: Built SaaS products that store and process large volumes of customer data. Worked directly with large enterprise customers and supported their complex software needs Designed and developed large‑scale machine learning systems covering data access, training, evaluation, and deployment Handled the “messy” parts of ML deployment, such as evaluation pipelines, versioning, and monitoring Built LLM‑powered data systems, with a focus on research workflows and information retrieval Key criteria: Strong generalist software engineer with experience across cloud infrastructure,machine learning, backend systems, distributed systems Enjoys working with enterprise customers and simplifying complex technical solutions to meet their needs Built and deployed production systems used by large enterprise businesses Invested in team growth particularly when it comes to building strong engineering culture across the company Passionate about collaborating with researchers and scientists, helping them become strong engineers Takes full ownership of the customer experience-deeply focused on reliability and all the ways things can go wrong Demonstrates relentless curiosity for both the science behind the product and the business that drives it #J-18808-Ljbffr

A leading tech company in San Francisco seeks skilled developers to work on front-end, back-end, and machine learning projects. You will be responsible for developing the React-based Sutro Studio GUI and implementing complete consumer app functionalities. Additionally, manage backend systems and contribute to groundbreaking ML applications. Ideal candidates will have solid experience in React, Node.js, and a passion for innovative technology solutions. #J-18808-Ljbffr

About the Role We're looking for someone who genuinely loves building AI systems. Things like bots, knowledge bases, agentic workflows, RAG pipelines, and other intelligent tools. If you get excited about taking an idea and turning it into a real, working AI feature, you'll fit right in. The title mentions “Full Stack,” but to be clear: the heart of this job is AI engineering. You'll be the one designing and building the AI capabilities that power our platform, end to end. What You'll Work On (Primary Focus) AI Systems Development - You will architect, build, and deploy advanced AI capabilities, including: AI-powered bots and conversational assistants Knowledge base systems (RAG, embeddings, vector DBs, context management) Agentic systems with tool use, multi-step reasoning, and dynamic workflows Fine-grained prompt design, guardrails, and output evaluation Model selection, performance tuning, and cost optimization Integrating AI features into our existing MERN-based product If your passion is building real AI systems, not just prototypes, this role is built for you. Requirements AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience: Built production AI systems (bots, RAG, agents, orchestrations) Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks Deep understanding of embeddings + vector databases Experience designing RAG pipelines and context architectures Ability to build multi-step agentic workflows and tool systems Strong prompt engineering fundamentals + prompt security awareness Experience evaluating model performance + improving reliability Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.) Full Stack Ability (Supporting Skillset) (Not the primary responsibility, but required for integrating AI features.) Experience with MongoDB, Express, React, Node.js Strong debugging and integration skills Bonus Skills AWS experience Workflow engines (n8n, Zapier) Experience with fine-tuning or model benchmarking How to Apply (Must Follow Exactly) Applicants who skip any step will be automatically declined. 1. Property Management / Real Estate Experience (Optional) List any relevant experience (optional). 2. GitHub Repository Share your GitHub link or specific repos showcasing your AI + full stack work. 3. 2-Minute Video Introduction (Required) Record a 1-2 minute video (Loom, unlisted YouTube, Google Drive, etc.) answering: Your name + where you're located Your AI experience in one sentence One AI system you built that you're proud of Clear audio is enough - no heavy editing required. (If this keyword is not at the top, the application will not be reviewed.)

A leading tech company in San Francisco seeks skilled developers to work on front-end, back-end, and machine learning projects. You will be responsible for developing the React-based Sutro Studio GUI and implementing complete consumer app functionalities. Additionally, manage backend systems and contribute to groundbreaking ML applications. Ideal candidates will have solid experience in React, Node.js, and a passion for innovative technology solutions. #J-18808-Ljbffr

Our client is seeking a Systems Engineer to join their team! This position is located in Celebration, Florida. Manage and maintain Helm charts and deployment configurations for Kubernetes environments, with a focus on Rancher-managed clusters Ensure SSL/TLS certificates across multiple domains are renewed and deployed seamlessly, preventing service disruptions Implement, maintain, and optimize Akamai CDN configurations to improve performance, security, and reliability Monitor, diagnose, and resolve system incidents and outages, ensuring high availability and rapid recovery Triage, remediate, and track security findings across cloud and on-premises infrastructure Develop and maintain engineering and architectural standards for on-prem, hybrid, and cloud-based compute, storage, and data protection services Produce regular and ad-hoc system reports covering performance, availability, and operational health Create, document, and continuously improve day-to-day operational procedures and runbooks Identify opportunities to automate provisioning and maintenance to improve efficiency and reliability Desired Skills/Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience Hands-on experience supporting both AWS and Google Cloud Platform (GCP) environments Strong experience with Kubernetes, preferably using Rancher as the orchestration platform Broad technical background across Linux, Windows, VMware, clustering technologies, resilient infrastructure design, and automation Proven ability to work independently, learn new technologies quickly, and adapt across multiple technical disciplines Strong understanding of virtualization and cloud platforms, including the ability to articulate trade-offs, benefits, and limitations of competing solutions Demonstrated experience overseeing the design, development, and implementation of infrastructure or platform solutions Experience improving automation and operational efficiency through scripting and tooling Exposure to or hands-on experience with multiple public cloud providers, such as AWS, GCP, Azure, and/or Oracle Cloud Infrastructure Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $32.00 and $47.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Seeking an experienced, results-oriented Systems Engineer with experience in Standards or Technical Specifications to join our team in the Bethesda, Maryland area. You will play a critical role in improving and maintaining our client's technical specification repository by applying structured systems engineering approaches. Responsibilities include: Technical Specification Management: Engage with stakeholders to understand the intent of technical specifications, analyze how those specifications will affect the IT architecture, and translate them into authoritative machine-readable formats. Perform this work using systems engineering and software development best practices. Tech Stack Conversion: Become familiar with the team's existing technical tools, then help implement the team's migration to a new set of technical tools. Mentoring: Guide a junior team member, helping them develop their technical skills. Basic Requirements: Active TS/SCI with Polygraph Requires BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain. Ability to work on-site full-time in the Bethesda, Maryland area. Strong knowledge of standard software development processes, such as DevOps, requirements engineering, coding, documentation, configuration management, quality assurance, integration, and testing. Experience with structured analytic techniques, XML, DevOps tools, build and automation tools, software development kits (SDK), and common programming languages. Demonstrated ability to build code collaboratively in team environments, following agile or other standard methodologies. Desired Qualifications: Experience using or managing standards or technical specifications. Master's degree in a relevant field. Five or more years of experience working with or in the Intelligence Community (IC). Familiarity with U.S. Government information sharing frameworks, policies, and interoperability requirements. Familiarity with system modeling and Unified Modeling Language (UML). CONDITIONS OF EMPLOYMENT: TS/SCI w/Poly Required U.S. Citizenship Required Federal Employment Suitability E-Verify Eligibility Required* ASG is an equal-opportunity employer (EEO) *ASG participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine the employment eligibility of new hires and the validity of their social security numbers. Health Insurance Open Leave Dental insurance 401(k) Vision insurance Tuition reimbursement Life insurance 401(k) matching Disability insurance Retirement plan Referral program Health savings account Flexible spending account #J-18808-Ljbffr

groundcover is a fast-growing B2D company reinventing how developers monitor their cloud-native applications - and the impact they can make at scale. We give engineering teams the insights they need to troubleshoot faster and more effectively when things break. Our belief: even the most complex systems deserve a flawless, intuitive user journey. We're building a product for developers that redefines the look, feel, and usability of observability tools - and we're expanding our Sales team with an Solutions engineer that breathes B2D. What You'll Do: Work with our account executives to plan, prepare and execute deals in complex and technical sales cycles. Deliver clear presentations and demos that communicate the product uniqueness and the problems it solves Manage the technical aspects of the entire sales cycle, including Proof of Concepts/Value Understand and communicate customer needs to the product teams for future product enhancements. Build solutions to fill gaps and enhance the core product Know the Observability and log management markets well and be able to help customers choose the right solutions for them. Be active on internal and external Slack channels Present at conferences, meetups, podcasts, livestreams etc. Go the extra mile to help groundcover disrupt the observability market, by offering thoughts, insights, and suggestions on how we can improve our go to market efforts, and improve the offering. Ability to attend in-person events and meetings - and work in office Requirements 5+ years of experience in a Solutions Engineer or Sales Engineer role - must 2+ years of observability experience, with a deep understanding of commercial vendors such as Datadog, Dynatrace, NewRelic, Splunk, Sumologic, Coralogix, and open source tooling such as Elastic, Loki, Grafana, Prometheus, etc. A ‘can do' and ‘must win' attitude, and a willingness to roll up your sleeves to help build whatever is needed to improve our chances of winning business Strong understanding of cloud-native environments and modern infrastructure, including Docker, Kubernetes, AWS, GCP, Azure, OpenShift, and observability data sources like CloudWatch, OpenTelemetry, Fluentd/FluentBit, and Prometheus Proven customer-facing experience - confident, articulate, and able to lead technical conversations both in-person and over Zoom Consultative and analytical, with an ability to identify and solve complete processes and infrastructure Willingness and enthusiasm for frequent travel Experience as a developer - advantage Bachelor's degree, or equivalent, in related discipline. Science or Engineering degree preferred. #J-18808-Ljbffr

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Santa Ana, CA (Onsite) Direct Hire JPC - 19745 We are looking for a CRM Engineer. This is a direct hire opportunity based out of Santa Ana, CA (Onsite). We are seeking a Microsoft Dynamics 365 Architect with a strong background in design, architecture, as well as customizations & configurations. As a Microsoft Dynamics Architect, you will play a crucial role in designing, customizing, configuring, & optimizing the Microsoft Dynamics 365 Sales (v.9) platform to meet the unique business requirements of our team. You will work closely with the CRM project team, end-users, and stakeholders to understand their needs and implement effective solutions within the Microsoft Dynamics 365 ecosystem. Qualifications: Bachelor's degree or equivalent experience. 8+ years of experience with Microsoft Dynamics CRM/D365 CE/Sales. 3+ years in an architectural or senior technical leadership role. Strong understanding of Microsoft Dynamics 365 Sales (v.9), including configuration capabilities and features. Experience with Power Platform (Power Apps, Power Automate, Power BI, Dataverse). Proficiency in C#, JavaScript, FetchXML, and Web APIs. Strong experience with Azure services (Logic Apps, Functions, Service Bus). Excellent problem-solving and analytical skills, with the ability to troubleshoot issues and provide effective solutions. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to work independently and manage time effectively, delivering high-quality results within deadlines. Preferred: Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert. Experience with Agile/Scrum methodologies and DevOps practices. Responsibilities: Solution Architecture & Design Lead end-to-end solution design for Microsoft Dynamics 365 Sales, ensuring scalability, performance, and integration readiness. Define technical and functional architecture for new and existing implementations. Collaborate with business stakeholders to translate business needs into technical requirements. Platform Configuration & Customization Guide the implementation of standard and custom entities, workflows, plugins, Power Automate flows, and model-driven apps. Oversee the use of Dynamics 365 customization tools, including JavaScript, Power Apps, and Power Platform tools. Integration & Data Strategy Design integrations with other business systems (ERP, marketing, third-party platforms) using Azure services, APIs, and middleware tools. Define data migration, synchronization, and master data strategies. Governance & Best Practices Establish development standards, documentation practices, and governance frameworks. Promote consistency, code reusability, and security compliance across all CRM projects. Team Leadership & Mentorship Serve as a technical mentor for Dynamics developers and consultants. Collaborate with project managers, business analysts, and IT stakeholders to ensure delivery of high-quality solutions. Core Competencies: Strategic thinking and problem-solving ability. Excellent communication and stakeholder engagement skills. Strong documentation and technical presentation skills. Passion for continuous learning and innovation. Physical Requirements & Work Environment: This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This may not be all-inclusive, and employees are expected to perform all other duties as assigned and/or directed by management. Job descriptions and duties may be modified when deemed appropriate by management. Annual Base Salary Range for CA, CO, IL, NJ, NY, WA, and DC: $115,000 to $140,000. Actual compensation offered may vary depending on factors including but not limited to, position offered, location, education, training, and/or experience. Solugenix will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and Ordinance. Applicants do not need to disclose their criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we are concerned about conviction that is directly related to the job, applicants will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. About the Client Our client is a leading North American distributor of building materials. About Solugenix Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance-providing clients with reliability and a strong competitive edge. Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business-it means having a dedicated ally focused on your success in today's fast-evolving digital world.

Founded in 1919, KJ has always looked to the future. With a talented team of professionals and a culture of continuous improvement, we deliver exceptional engineering, environmental consulting, and construction management services, with a focus on innovation and sustainability. Using advanced analytics, technology, and tools, KJ improves designs, reduces risk, and finds better ways to deliver projects from planning through construction. KJ is at the forefront of developing sustainable solutions for clients, including green infrastructure design, strategies to reduce energy use and environmental impacts, award-winning water reuse projects, and efficient construction management practices that ensure quality, safety, and on-time delivery. We are known for our dedication to industry-leading client service and tailored solutions. KJ is seeking an experienced and collaborative Senior Remediation Engineer to lead and support municipal and private sector clients in environmental investigation and remediation projects. You will partner with a multidisciplinary team of scientists and engineers to solve complex environmental problems and advance remediation programs. Key Responsibilities The ideal candidate is enthusiastic about growing our environmental services practice and will be a seller/doer with the ability to bring clients/projects with them . Review and guide staff developed work plans for site delineation and pilot testing of remedial alternatives Lead remedial action feasibility studies, prepare remedial action plans, and design remediation systems Oversee engineers, scientists, and other team members to develop and evaluate remedial alternatives and complete options analyses Prepare bid specifications and evaluate contractor bids Provide senior oversight during construction and operation of treatment technologies, including monitoring, evaluating treatment effectiveness, and regulatory reporting Lead development and review of technical documents, reports, and designs Oversee quality assurance and quality control of deliverables for both self-managed projects and projects managed by others Work collaboratively with dynamic project teams and mentor and train junior staff Support business development and client service management, including participation in professional organizations such as ITRC Qualifications Bachelor of Science in Environmental, Chemical, Civil, or Mechanical Engineering. Master of Science preferred Professional Engineer license required Fifteen or more years of consulting experience Experience with remedial technologies including Soil Vapor Extraction, Air Sparging, Bio Sparging, Dual Phase Extraction (DPE) , In Situ Bioremediation, In Situ Chemical Oxidation (ISCO) , groundwater extraction and treatment also known as Pump and Treat, soil excavation, and waste characterization and disposal is required Ability to lead remedial designs and oversee implementation and optimization of the technologies listed Practical experience developing and evaluating remedial alternatives, completing options analyses, designing, implementing, and overseeing operation of environmental remediation systems, evaluating remedial progress data and adjusting strategies, managing project schedules and budgets, and supervising and mentoring staff Understanding of regulatory frameworks under RCRA and CERCLA and familiarity with construction techniques for remedial activities Experience with petroleum hydrocarbons, chlorinated compounds, heavy metals, PFAS, PCBs, dioxins, furans, and other common contaminants Experience working on complex remediation projects across multiple market sectors is strongly preferred Ability to travel to support ongoing environmental projects Work Environment and Locations Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work, with a minimum of two days per week in the office. This approach empowers our people to thrive, collaborate, and achieve their full potential. Compensation and Benefits Salary range is 1 4 0,000 to 2 25 ,000 depending on education, experience, qualifications, licensure or certifications, and geographic location Eligible for performance and incentive compensation #LI-Hybrid Kennedy Jenks is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, pregnancy and pregnancy-related conditions, sexual orientation, gender identity, national origin, age, marital status, disability, citizenship status, genetics, protected veteran status, or any other characteristics protected by applicable law. #J-18808-Ljbffr

A prominent engineering and consulting firm in California is seeking an experienced Senior Remediation Engineer to lead environmental investigation and remediation projects. Ideal candidates will have a strong background in various remediation technologies and at least 15 years of consulting experience. This role offers a hybrid work model with a minimum of two days in the office, competitive salary, and opportunities for performance-based compensation. #J-18808-Ljbffr

A leading engineering firm in Bethesda, Maryland is seeking an experienced Systems Engineer to manage technical specifications and ensure compliance with IT architecture. The ideal candidate should possess an active TS/SCI clearance, a BS or Master's degree, and 8-12 years of experience in a relevant field. Responsibilities include mentoring junior team members and helping implement new tools. The company offers a comprehensive benefits package and values diversity in the workplace. #J-18808-Ljbffr