178 jobs found

Job Description Job Description SciTec, a Firefly Aerospace company is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates with the following qualifications will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $164,000 - $218,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Job Description Job Description Senior Consultant, Microsoft Purview - Data Security & Governance Position/Team: Senior Consultant - Microsoft Purview Consulting Services (MCA Practice) Reports To: Practice Director, MCA Location: Atlanta, GA / Remote-friendly for the right candidate Type: Full-Time 85-90% billable target Travel: Up to 25% based on client project needs Your Opportunity As a Microsoft Purview Senior Consultant at ivision, you will join our Consulting Services team within the Modern Work, Cloud & AI (MCA) Practice to help enterprise clients classify, protect, govern, and monitor the information their business depends on. Working alongside our Sales, Pre-Sales, and Delivery teams, you will lead hands-on delivery of data security assessments, Purview design and proof-of-value engagements, Copilot readiness work, and tenant-to-tenant Purview consolidations - translating data security governance requirements into enforceable policy and configuration. You will work across multiple verticals and partner closely with ivision Architects, Principal Consultants, and Managed Services engineers to deliver high-quality, repeatable, defensible data protection outcomes. What You Could Achieve Lead data security governance discovery - classification taxonomy, sensitive information types, data handling requirements, and control frameworks across the data lifecycle (creation, storage, use, transmission, archival, deletion). Design and deploy Microsoft Purview Information Protection - sensitivity label taxonomy, sub-labels, label publishing policies, encryption and rights management settings, content marking, and auto-labeling. Design and deploy Data Loss Prevention across Exchange Online, SharePoint Online, OneDrive for Business, and Teams - policy and rule authoring, sensitive info type and confidence tuning, policy tips, incident reporting, and staged promotion from simulation to audit to block-with-override. Implement Endpoint DLP where device onboarding to Microsoft Defender for Endpoint, OS, and telemetry prerequisites are in place. Configure Insider Risk Management - global settings, indicator and threshold tuning, role groups, triage workflow, and privacy considerations. Deliver Data Lifecycle and Records Management - retention labels and policies, disposition review, and records configuration planning. Execute DSPM and AI data readiness work - oversharing and permissions-hygiene analysis, sensitive data exposure review, SharePoint Restricted Content Discovery / Restricted Access Control, and guardrails that make Microsoft 365 Copilot rollout defensible. Run current-state Purview assessments - policy deployment health, false-positive analysis, classifier and confidence-level evaluation, adaptive scope drift, and administrative role review - producing prioritized, risk-ranked remediation plans. Deliver Purview tenant-to-tenant consolidations - inventory source configuration, perform gap analysis, map policies and labels to the target tenant, and validate functional parity post-migration. Produce client-ready deliverables : Summary of Findings, Purview Design Report, Implementation Roadmap, As-Built documentation, and executive readouts. Lead knowledge transfer and adoption enablement - administrator sessions, user orientation, how-to guides, and communication assets. Support pre-sales activities : scoping calls, LOE estimation, SOW contribution, and technical responses for assessment, POV, implementation, and Copilot-readiness opportunities. Mentor mid- and junior-level consultants and contribute to ivision's service catalog, scoping toolkits, and delivery standardization efforts. What You've Accomplished 6+ years of hands-on experience delivering data security, compliance, or information governance solutions on Microsoft 365 , with deep focus on Microsoft Purview . Deep practical experience with: Microsoft Purview Information Protection - sensitivity labels, label policies, auto-labeling, encryption, and rights management. Data Loss Prevention - M365 workload policies, custom and template rule sets, sensitive information types, trainable classifiers, and policy tuning to reduce false positives. Endpoint DLP - Defender for Endpoint onboarding dependencies, device policy scoping, and staged enforcement. Insider Risk Management - policy scope, indicators, role groups, and case triage design. Data Lifecycle / Records Management - retention policies, retention labels, and disposition. Microsoft Purview eDiscovery (current portal experience) - cases, searches, holds, review sets, and export. Microsoft 365 platform fluency - Exchange Online, SharePoint Online, OneDrive for Business, Teams, and Entra ID, including permissions and external sharing models. Licensing fluency - E3 vs. E5 / E5 Compliance entitlements, Purview add-ons, SharePoint Advanced Management, and Entra ID Governance prerequisites. PowerShell and Microsoft Graph for Purview and Security & Compliance administration and reporting. Demonstrated ability to lead a workstream independently, manage client stakeholders across IT, security, legal, compliance, and business functions, and produce client-ready design documentation. Experience contributing to SOWs, scoping toolkits, and LOE estimation for data security and governance engagements. Strong consultative communication skills with technical and business audiences. Collaborative mindset; thrives in a geographically distributed delivery team and is comfortable mentoring junior engineers. Education & Certifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent experience. Required / Highly Desired Microsoft certifications: SC-401 or SC-400 - Information Security Administrator Associate (required) SC-100 - Microsoft Cybersecurity Architect Expert (strongly preferred) SC-200 - Security Operations Analyst Associate (preferred for Insider Risk / alert-triage-heavy engagements) MS-102 - Microsoft 365 Administrator Expert (preferred) AZ-500 - Azure Security Engineer Associate (preferred for engagements extending Purview beyond M365) Familiarity with ITIL , agile delivery , and PMP practices is a plus. Working knowledge of regulatory frameworks (HIPAA, PCI-DSS, GDPR, CMMC) and maturity models such as the Microsoft 365 Maturity Model and the CISA Zero Trust data pillar is a plus. Role Scope Scope Approx. % of Time Consulting Services (billable delivery) 85-90% Pre-Sales support (scoping, LOE, SOW input) 5-10% Practice Development (mentorship, IP, enablement) 5% Other Requirements Physical: Prolonged periods at a desk and on a computer. Work Environment: Standard office and/or home-office environment. Travel: Up to 25%, based on client project needs. About ivision ivision is a Microsoft Solutions Partner with 22+ years of Microsoft partnership and 5x Solutions Partner + 6x Advanced Specializations . Headquartered in Atlanta, ivision delivers full-lifecycle consulting and managed services across Modern Work, Cloud & AI, Security, and Enterprise Infrastructure - and is a Microsoft Customer Zero for internal Copilot and AI adoption. ivision is an equal opportunity employer.

Job Description Job Description Principal Data Scientist - Remote, AI, Machine Learning, Fraud Detection & Risk Modeling Remote position available to candidates residing in Georgia, South Carolina, North Carolina, Florida, or Tennessee. Preference given to candidates located near our Augusta, GA or Charlotte, NC operations. Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large Language Models (LLMs), Predictive Analytics, MLOps, Python, SQL, Snowflake, Databricks. Who we are: At TaxSlayer, we're more than just a tax software development company; we're empowering individuals and small businesses to plan for and file their tax returns online with confidence and ease. As a leading innovator in tax prep software, TaxSlayer, LLC, has been revolutionizing the way people file their taxes since 1965. Our user-friendly platform offers an intuitive interface that guides customers through the tax-filing process step by step, ensuring accuracy and maximum refunds. TaxSlayer is headquartered in Augusta, GA with a satellite office in Charlotte, NC. TaxSlayer proudly employs nearly 200 individuals year-round, plus 300 additional in-season support agents. Our employees are among the brightest, most talented group of innovators who work collaboratively to improve our products and exceed customer expectations season after season. Are you a TaxSlayer? Job Summary The Principal Data Scientist is a senior technical leader who drives advanced machine learning and data science initiatives across the organization. This role combines hands-on technical expertise with strategic influence. The Principal Data Scientist owns end-to-end delivery of complex ML projects, presents recommendations to leadership, leads technical discussions, and serves as the recognized authority on modeling approaches. The role partners cross-functionally with Product, Engineering, Finance, and Marketing to define and solve high-impact business problems, with particular focus on fraud detection, customer intelligence, and risk modeling. Core Responsibilities Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority. Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits. Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve. Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage. Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject. Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization. Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities. Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making. Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies. Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed. Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position. Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities. Your Impact in This Role Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership. Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities. Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions. Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles. Required Qualifications Education & Experience: Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences. Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders. Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight. Skills & Competencies: Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert. Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts. Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production. Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure). Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies. Experience building real-time or near-real-time scoring systems and production ML pipelines. Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching. Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams. Preferred Qualifications: Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries. Hands-on experience building fraud detection, anomaly detection, or risk modeling systems. Physical & Work Environment Requirements This is a fully remote role (US-based only). Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year). Work is performed in a standard office environment with remote flexibility. Must be able to work at a computer for extended periods. What we offer: At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program. We offer flexible remote and/or hybrid work options when possible, depending on the role. Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays. Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. 401K with 150% match on up to 3% contribution Performance-based bonus and salary review process Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store. Apply today and don't forget to opt in for text updates from our recruiting team! Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise. Legal Disclaimers TaxSlayer is an equal opportunity employer and complies with all applicable laws regarding discrimination. Employment is based on qualifications, merit, and business need. . click apply for full job details

Job Description Job Description SciTec, a Firefly Aerospace company is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Data Storage Domain Lead. In this role, you will guide how our engineering teams select, design, implement, optimize, and operate data persistence and retrieval systems that support mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams use storage technologies today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in data storage systems, the ability to evaluate technical alternatives against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities Assess current storage technologies, data access patterns, recurring problems, and capability gaps across engineering teams. Define evaluation criteria and use benchmarks against representative workloads to select and maintain a Core Collection of recommended storage technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), and tuning and troubleshooting guides. Build and maintain validated reference implementations, starter templates, and reusable configurations for common storage use cases. Guide data modeling, schema design, indexing, query planning, and performance optimization. Advise on transactional behavior, isolation, consistency, durability, and concurrency. Establish practices for caching strategies, eviction policies, cache invalidation, and hot-key management. Guide search and document indexing, ingestion patterns, and index lifecycle management. Guide object storage organization, lifecycle policies, and access patterns. Lead replication, partitioning, capacity planning, backup and recovery, and failure analysis efforts. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Workload Communications and Deployment Environments domain leads on cross-domain problems such as connection pooling, consumer lag, and end-to-end throughput and latency. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with data storage systems. Deep expertise with one or more relational databases (e.g., PostgreSQL, MySQL), including schema design, query and index optimization, and transactional behavior. Production experience with one or more of: search/document stores (Elasticsearch, OpenSearch, MongoDB), caches (Redis, Memcached), or object storage (AWS S3, Garage, or similar). Strong understanding of distributed storage concepts, including replication, partitioning, consistency models, and recovery. Demonstrated ability to build prototypes, conduct benchmarks, analyze results, and turn findings into actionable recommendations. Experience evaluating technical alternatives and clearly articulating tradeoffs among latency, throughput, scalability, availability, consistency, cost, and operational complexity. Proficiency in at least one backend language such as Python, Go, Java, C++, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates with the following qualifications will be preferred: Experience leading technology standardization, technical governance, or internal platform/guidance efforts across multiple teams. Experience operating storage systems in containerized or Kubernetes environments. Experience with storage performance profiling and observability tooling. Experience with data storage for high-volume sensor or mission data workflows. Active DoD Secret clearance or higher. Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Job Description Job Description SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Job Description Job Description Shaping the Future of Lending With 30 years of fintech leadership, Origence empowers credit unions with innovative SaaS lending solutions that make lending more accessible, efficient, and competitive. We invest in our people and foster a culture of innovation, ownership, and continuous improvement. As we help shape the future of lending, we're leveraging AI to enhance the way we work and create value for our clients, and we're seeking individuals who are excited by emerging technologies and eager to use them responsibly to solve problems and drive impact. The Sr. Software Engineer is responsible for the design and implementation of new software applications and the maintenance and enhancement of Origence's various software products and solutions. They assist in the successful execution of projects with minimal direction and guidance and serve as senior technical contributors and mentors within the team. The Origence Mindset At Origence, we are self-aware, adaptable, and relentlessly focused on creating meaningful impact. We think like owners, embrace complexity and ambiguity, challenge conventional thinking, and continuously pursue smarter, more effective ways to solve problems and advance the business. If this mindset reflects who you are, you may be exactly who we're looking for. How You'll Contribute: Spend approximately 90% of your time actively designing and coding in support of the immediate team, and 10% researching new technology, coaching, and mentoring other engineers. Incorporate agentic AI development practices into day-to-day engineering - using tools such as Claude Code CLI to accelerate design, implementation, code review, testing, and refactoring - while upholding code quality, security, and governance standards and validating all AI-assisted output. As a senior member of the development team, provide feedback and training where necessary and ensure that technical initiatives align with organizational goals, working closely with Principal Engineers and Development Managers. As a full-stack engineer assigned to the product/project, ensure performance, maintainability, and functional requirements are met by design and development through testing, rollout, and support. Collaborate with cross-engineering staff on hardware and system monitoring requirements to ensure the expected performance and reliability of the application/system developed. Proactively communicate and work to mitigate changes to project timelines and degradation in application performance and troubleshoot and resolve production issues. What Makes You a Great Fit: Education Bachelor's degree in computer science, Engineering, or equivalent industry experience. Experience A minimum of 6 years of professional software development experience, ideally in business process automation or financial services applications. A minimum of 5 years' experience with .NET, C#, and Windows tools and languages, as well as modern web frameworks (Angular via TypeScript, React, or Vue). Solid understanding of data repository models is required; experience with both SQL (Microsoft SQL Server) and NoSQL is preferred. Working knowledge of Agile methodologies, Domain-Driven Design, Test/Behavior-Driven Design, event-driven design via asynchronous messaging, and microservice architecture. Preferred experience: ASP.NET, WCF, Web Services, NServiceBus, Azure Cloud, and Infrastructure Code (IaC). DevOps experience as a full-stack developer owning the full software development lifecycle. Hands-on experience with agentic AI development workflows and AI-assisted coding tools - specifically Claude Code CLI (or comparable agentic CLI tooling) applied to real development tasks within a governed SDLC Strong track record of writing unit and integration tests for all code produced. Your Strengths & Expertise Can effectively lead and participate in technical initiatives and collaborative design/requirements meetings while gathering the necessary information for software development. Ownership and accountability mindset, with decision-making, communication, and analytical skills that enable strong partnership with Product Owners and cross-functional teams. Leadership qualities and an excellent team player with the ability to handle stressful situations. Expertise in, or curiosity to learn, their chosen technology stacks, along with broader knowledge of various programming languages, frameworks, and tools. Brings experience and understanding of the application domain, enabling insightful decisions and innovative problem-solving. Ability to work in a fast-paced, flexible environment that practices a SAFe / Agile-based SDLC. Leads by example, practices high standards for behavior and performance, models the values and principles of the organization, and inspires others. Experience with event-driven design and microservice architecture best practices. Skilled at integrating agentic AI tooling (e.g., Claude Code CLI) into the development lifecycle, with sound judgment about when to apply AI assistance and how to review, test, and secure AI-generated code. Possesses a strong sense of interpersonal awareness, a bias for action, the ability to build trust, deep technical skill, and sound judgment. Bring your ideas, your curiosity, and your unique perspective. We'll provide the opportunities, tools, and support to help you succeed. How We Invest in You: 401(k) with 8% Company Match Flexible Work Environment Competitive Paid Time Off Tuition Reimbursement & Education Benefits Comprehensive Health & Wellness Benefits Microsoft Copilot and AI-Enabled Tools Continuous Learning & Development Opportunities A culture of connection, celebration, and growth through employee-driven programs, company events, holiday celebrations (Star Wars Day), monthly town halls, quarterly company meetings, and team traditions like Bring Your Kid to Work Day Recognizing Your Impact The starting salary range for this full-time position is $128600 - $160800 per year. We offer competitive compensation designed to recognize the value, experience, and contributions each team member brings to Origence. Base pay is determined by factors including experience, geographic location, and internal equity, and eligible positions may participate in our annual bonus program. Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals' qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.

Job Description Job Description Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI Ready Governance Platform , unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform. Your Mission Development Support development of web and mobile interfaces for product module or new prototypes using HTML, CSS, JavaScript/Typescript and/or the designing, development, and unit testing of applications deployed to MS Azure while assisting with cloud application architecture using Drupal, Python, Core Java, REST, and the Spring ecosystem. Achieve at least 80% code coverage or per the revised standards set by the team Collaboration Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team's discussions on system architecture and component design. Support the team to ensure all committed stories for the sprint are completed per the sprint goal Support Work toward reducing total number of defects in the module/product to industry standards by catching and fixing issues early in development. Ensure critical and high priority CII's are delivered per SLA. Code Review Conduct peer reviews to improve code quality. Help junior developers follow development testing, exploratory testing, AI testing and/or test automation. Lead Help build high-performing teams, grow and mentor the technical skills within the team and create development opportunities for them. You Are/Have A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding. Bachelor's or master's degree in computer science, Engineering, or related technical or business field. 8+ years of professional software engineering/development experience Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, Spring MVC, SQL, Web services. Experience with elastic search and data streaming tools like Kafka. Good understanding of web services and SOA related standards like REST/OAuth/JSON. A competent understanding of code and script (Python, Bash) Moderate experience with SQL and NoSQL databases Agile development (Scrum, XP, or Pair Programming) experience Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Computer, or Amazon Web Services) Recent development experience using Drupal, Ember, Angular 8+, Java 7+, or Python. Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS) Extra Awesome Familiarity with different databases (Relational and document) is a strong asset. Familiarity with continuous integration and continuous deployment (CI/CD) tools, such as Jenkins. Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable. For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range $139,725-$209,588 USD Where we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit Resources Check out the following to learn more about OneTrust and its people: OneTrust Careers on YouTube on Instagram Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview . You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form. Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an email address. You may also receive legitimate emails from . Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad - the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description Job Description What Impact You'll Have We are seeking an accomplished Senior Systems Engineer to serve as a principal technical anchor across a large-scale, multi-team engineering initiative supporting mission-critical satellite ground systems. In this lead-by-example role, you will bridge the gap between high-level mission operations, external segment stakeholders, and distributed software development pods. Operating embedded within an agile development framework, you will provide deep domain expertise to steer ground segment architecture, author authoritative digital engineering artifacts, resolve cross-system interface complexities, and drive full-lifecycle verification and operational sell-off. What You'll be Owning Lead the translation of complex customer mission needs, operational concepts (CONOPS), and multi-segment interfaces into robust digital engineering artifacts-including baseline ICDs, end-to-end operational sequence diagrams, data schemas, and verifiable requirements. Architect, govern, and maintain the ground segment's behavioral and structural SysML models. Ensure model consistency, maintain tight bidirectional traceability to software user stories, and enforce MBSE modeling standards across the engineering teams. Embed with agile scrum teams to decompose epic-level capabilities into precise technical acceptance criteria and software backlogs, ensuring software builds reliably conform to mission objectives and interface constraints. Drive the definition and technical governance of ground-to-space and ground-to-ground messaging schemas and protocols (REST, HTTP, Protobuf/JSON, pub/sub), ensuring low-latency data transport and clean subsystem separation. Architect comprehensive verification and validation strategies. Review automated test plans, establish verification matrices, troubleshoot high-tier integration anomalies, and spearhead formal requirements sell-off with customer representatives. Lead technical exchange meetings (TEMs), interface control working groups (ICWGs), and engineering review boards (ERBs). Represent the engineering program during formal milestone reviews and executive customer demonstrations. What You Must Have Active or current Top-Secret clearance with SCI access and polygraph (TS/SCI with poly) . Bachelor's degree in a STEM field (Systems Engineering, Aerospace Engineering, Computer Science, or related discipline) with 15+ years of relevant engineering experience (or Master's degree with 13+ years). Extensive, proven track record delivering space-ground architectures, Command and Control ( C2 ), and mission management solutions through all lifecycle phases from concept to operational handover. Expert-level proficiency building and managing complex behavioral and structural models using MBSE tools Deep experience establishing interface protocols and data contracts for modern, distributed software architectures (RESTful APIs, event streaming, message brokers, microservice data models). Extensive experience applying systems engineering discipline within scaled Agile/Scrum development frameworks using the Atlassian suite (Jira, Confluence) for product backlog decomposition and technical traceability. What Would be Nice to Have Direct experience integrating systems deployed to cloud-native, containerized environments ( Kubernetes , Docker ). Familiarity with automated integration test frameworks (e.g., Playwright, PyTest, or automated API test suites). Experience modeling or evaluating space-vehicle subsystem interactions (telemetry, commanding, orbit dynamics, payload operations). Track record of coordinating architecture across multi-vendor or geographically dispersed engineering teams. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $225,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Colorado Pay Range $160,000-$225,000 USD Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000-$225,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description Job Description Role: Platform & Infrastructure FDE Location: Plano, TX -Onsite Ability to write basic scripting and basic SQL's outside the Al expertise. Job Description Key Responsibilities " Embed within infrastructure teams and work closely with business and infrastructure leaders. " Identify automation opportunities Consultantly, without waiting for instructions. " Build AI-assisted solutions using Cursor and GitHub Copilot. " Develop infrastructure automation and build AI workflows and AI agents. " Modernize infrastructure platforms and improve cloud migration efficiency. " Build vulnerability remediation automation. " Demonstrate proof-of-concepts rapidly and deliver measurable productivity improvements. " Mentor existing engineering teams and promote AI adEligible to workion across the organization. Required Skills & Experience " Programming & scripting: strong Python development, scripting, and APIs. " Infrastructure & cloud: infrastructure engineering, cloud platforms (AWS preferred), Infrastructure as Code (IaC), DevOps, and automation. " AI-assisted engineering: GitHub Copilot, Cursor AI, prompt engineering, LLM-based software development, and AI-assisted coding. " Ways of working: strong problem solving, a self-starter mindset, and excellent communication. Preferred Skills " Agentic AI workflows and AI orchestration " Infrastructure modernization and platform engineering " Security automation and vulnerability management " FinOps and observability " Cloud migration Depth in the platforms, pipelines, and guardrails that AI-driven infrastructure runs on. " Infrastructure as Code Terraform, Pulumi, AWS CDK, VMware, OpenShift " Configuration-as-Code Ansible, Puppet " CI/CD GitHub Actions, ArgoCD " Kubernetes EKS / GKE / AKS, Helm, service mesh " Observability OpenTelemetry, Dynatrace, Grafana, LLM metrics " Cloud security VPC, PrivateLink, encryption, data residency " Compliance SOC 2, HIPAA, FedRAMP for LLM " Agentic frameworks LangGraph, CrewAI, N8N " LLMOps model routing (LiteLLM), semantic caching, prompt versioning, A/B testing " Cost / FinOps for LLM Agentic Systems FDE Depth in designing, orchestrating, and evaluating reliable multi-agent AI systems. " Agentic frameworks LangGraph, CrewAI, AutoGen, Anthropic computer-use " Tool / function calling " Orchestration & state retry, checkpointing, failure modes " Multi-agent patterns " Memory systems short-term, long-term vector, episodic " Human-in-the-loop approval workflows " Non-deterministic output evaluation " Tracing LangSmith, Arize, OpenTelemetry Principal FDE (future / escalation profile) Not part of this hiring wave, but the likely escalation profile as the engagement scales. " End-to-end enterprise AI architecture " Provider trade-offs Anthropic vs. Bedrock vs. Vertex vs. Azure " AI governance and build-vs-buy decisions " ROI / KPI ownership " Executive presence with CTO / CDO / CFO stakeholders

Job Description Job Description STATE OF ALABAMA Office of Information Technology Senior AI Platform & Services Engineer Enterprise Artificial Intelligence Engineering, Service Architecture, Governance Implementation, and Technical Operations Target Bill Rate Overall Experience AI Experience Role Level $65.00 - $76.89/hr 4 - 7+ years 2+ years preferred Senior Engineer Ideal Candidate Profile: An experienced enterprise platform engineer who can work deeply in the backend while also designing the service structure around AI. The ideal candidate can engineer integrations and controls, own complex troubleshooting, operationalize governance requirements, establish standards, and mentor less-experienced AI platform resources. Position Summary The Senior AI Platform & Services Engineer is a senior hands-on technical position responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The position provides technical leadership across a multi-platform AI environment initially centered on OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini. The engineer establishes repeatable technical patterns, operational standards, integrations, access controls, monitoring, service-management processes, and governance implementation so AI capabilities can be operated securely and reliably as managed enterprise services. This role is expected to remain hands-on and is not primarily a consulting, policy-only, or custom model-research position. Position Snapshot Primary Function Senior hands-on engineering, administration, service architecture, integration, governance implementation, and operational leadership for enterprise AI. Initial Platforms OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, with responsibility to incorporate additional AI services as organizational needs evolve. Engineering Focus Architecture patterns, APIs/connectors, agents, identity, data access, automation, monitoring, lifecycle, reliability, security controls, and enterprise support. Governance Role Translates approved AI, security, privacy, compliance, and data-handling requirements into technical controls, standards, evidence, and operational processes. Leadership Scope Not required. Preference is for engineers who have owned and operated enterprise technology services rather than primarily advised from a consulting role. Technical leadership and mentoring; complex escalation ownership; standards and patterns. Direct people management is not required unless separately assigned. Consulting Background State of Alabama Office of Information Technology Position Description Page 1 STATE OF ALABAMA Office of Information Technology Primary Responsibilities Engineer, administer, and continuously improve enterprise AI platforms and the supporting technical services required to operate them at scale. Serve as a hands-on technical subject-matter resource across OpenAI/ChatGPT, Microsoft Copilot, Google Gemini, and related enterprise AI technologies. Design and implement technical patterns for APIs, connectors, agents, orchestration, knowledge sources, retrieval augmented generation (RAG), automation, and integrations with enterprise systems. Establish platform administration, environment management, access-control, configuration, service onboarding, change/release, and lifecycle-management standards. Design and implement identity patterns including SSO, RBAC, privileged access, service identities, scopes/permissions, access reviews, secrets, and least-privilege controls as applicable. Translate approved governance, security, privacy, legal, compliance, records, and data-management requirements into enforceable technical configurations and operating controls. Evaluate data flows, model/provider interactions, knowledge sources, connectors, and integrations to identify technical risks, dependencies, logging requirements, and control points. Establish monitoring, logging, alerting, auditability, usage reporting, cost/consumption visibility, licensing oversight, and operational performance metrics for AI services. Own or lead troubleshooting of complex platform, integration, authentication, authorization, data-access, agent, performance, and service-availability issues. Evaluate new AI products, models, platform capabilities, agents, and features and define technical testing, pilot, release, and support-readiness requirements. Develop and maintain technical architecture documentation, standards, configuration baselines, runbooks, support models, knowledge articles, and operational procedures. Define escalation paths and support boundaries for AI-related incidents and service requests and coordinate with vendors and internal technical teams as needed. Identify and implement automation opportunities that reduce manual administration and improve consistency, reliability, observability, and governance. Provide technical mentoring and guidance to AI Platform Engineers and other support resources while maintaining hands-on ownership of critical engineering work. Partner with cybersecurity, cloud/infrastructure, identity, application, data, architecture, service-management, procurement, legal/compliance, and business teams on AI service delivery. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and progressively responsible professional experience. Approximately 4 - 7+ years of professional experience in cloud engineering, systems engineering, platform engineering, DevOps, enterprise application administration, automation, security engineering, or comparable technical disciplines. Approximately 2+ years of meaningful experience with AI, intelligent automation, machine learning platforms, generative AI, or closely related enterprise technologies is preferred; equivalent depth demonstrated through hands-on delivery may be considered. Demonstrated experience engineering or operating complex enterprise cloud/SaaS platforms, integrations, identity controls, APIs, and support processes. Strong troubleshooting capability and experience leading technical resolution of multi-system issues involving applications, cloud services, identity, permissions, APIs, or data access. Ability to translate architectural, security, privacy, governance, or compliance requirements into practical technical designs and operational controls. State of Alabama Office of Information Technology Position Description Page 2 STATE OF ALABAMA Office of Information Technology Preferred Qualifications Hands-on experience with at least two of the following ecosystems: OpenAI/ChatGPT and OpenAI APIs; Microsoft Copilot/Copilot Studio/Azure AI services; Google Gemini/Vertex AI/Google Cloud. Experience implementing enterprise AI agents, RAG/grounding, knowledge integration, enterprise search, tool/function calling, model routing, or API orchestration patterns. Experience with PowerShell, Python, REST APIs, JSON, CI/CD or infrastructure automation, low-code workflow tools, or comparable automation technologies. Experience with enterprise IAM, Microsoft Entra ID or comparable identity platforms, OAuth/OIDC/SAML, RBAC, privileged access, service principals/service accounts, secrets, and access reviews. Experience implementing security, privacy, data-loss prevention, logging/audit, records/data-handling, responsible AI, or AI governance requirements in technology platforms. Experience establishing IT service-management models including incident, request, change, problem, knowledge, service ownership, escalation, monitoring, and operational reporting. Experience operating technology in a regulated, government, large-enterprise, or other control-intensive environment. Knowledge, Skills, and Abilities Strong systems-thinking skills and the ability to understand how AI platforms interact with identity, data, applications, networks, cloud services, security controls, and operational processes. Ability to design practical service structures around rapidly changing technology without overengineering or losing operational supportability. Ability to evaluate tradeoffs across platform capability, security, privacy, cost, user experience, maintainability, and compliance requirements. Strong technical documentation, standards development, and communication skills for both engineering and governance audiences. Ability to mentor engineers, provide technical direction, coordinate across teams, and maintain ownership through implementation and steady-state operations.

Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is looking for an experienced Principal Cloud Engineer to join the Defense Enclave Services (DES) team. DES supports a large digital modernization program that is critical to the Defense Information Systems Agency (DISA) and the DoD Fourth Estate Agencies. This systems engineering role focuses on distributed systems and on how cloud infrastructure is built and maintained. You'll support several engineering projects that are modernizing the DoD environment, including moving applications and services from on-premises infrastructure to the cloud as part of zero-trust network initiatives. The work covers design, deployment, testing, and migration of the network solutions you develop. Location: Fort Meade, MD Shift: full-time, day-shift role on a hybrid schedule Clearance: Secret Certification: Active DoD 8140/8570 IAT Level II certification What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Apply systems engineering and architecture experience to design zero-trust network solutions for a hybrid on-premises and Azure enclave. Apply knowledge of system virtualization and design so that network modernization efforts meet security requirements and can be implemented without disrupting operations. Support cloud deployment of modernized network services. Develop modern, secure network solutions using virtual switches, VPCs, and virtual firewalls. Provide input to the design of the enterprise's cloud and mission architecture. Evaluate and support application architectures across platforms so they align with cloud and application modernization strategies, capabilities, and requirements. Look for ways to improve, including changes that improve the user experience, increase efficiency, and lower sustainment costs. Enforce security best practices and guidelines, drawing on knowledge of security policies, network security, and data security. What you will bring: 12+ years of relevant experience. Expertise designing, deploying, and operating solutions built on Azure, AWS, or GCP. Experience with virtual switches, VPCs, and virtual firewalls. Experience with Identity and Access Management (IDAM), including Azure AD and CyberArk, Okta, or another modern ICAM solution. Understanding of federal government application, server, and network security requirements, such as NIST, FedRAMP, and FISMA. Ability to work well within a distributed technical team, with strong written and verbal communication skills. Education Requirements Bachelor's degree or equivalent experience. Required Certifications Certification in Governance of Enterprise IT (CGEIT). An active DoD 8140 IAT Level II certification, such as one of the following: Security+ CE, CySA+, CASP+ CE, CCNA-Security, CCNP Security, CCSP, CISA, CISSP (or Associate), CND, GCED, GCIH, GICSP, GSEC, or SSCP Certification in Governance of Enterprise IT (CGEIT). How you will wow us: A recognized cloud certification, such as Microsoft Azure Associate Administrator. Familiarity with the Atlassian suite, including Jira and Confluence. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $104,000.00 - $149,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR R52pDT8rwr

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you'll love this job As part of the Identity Services team, you'll help deliver secure digital products that support a reliable and profitable airline. You will design, implement, and care for cybersecurity solutions that protect users, systems, operations, and data, by ensuring strong identity controls such as role based access, authentication, authorization, and governance. This role requires attention to detail, strong problem solving, and high ethical responsibility. The fast paced global airline environment offers opportunities for professional development, continuous growth, and meaningful impact. In the Identity Services domain, you will be responsible for the architecture, design, standards, and patterns for delivering strong identity and access programs. You will be expected to balance technical oversight, and business alignment to secure organization's digital assets while ensuring the team is empowered, the systems are resilient, and the entire operation runs smoothly, effectively, and proactively. Additional information about the skills needed for this position is listed in the Skills, Licenses & Certifications section below. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Identity and Access Management (IAM) Architecture: Design and oversee the architecture and deployment of IAM solutions to manage user identities, roles, and access privileges across the organization's systems and applications. User Provisioning and De-provisioning Framework: Architect and optimize the processes for automating the creation, modification, and removal of user accounts and access rights based on organizational policies and user roles. Security and Governance: Establishing policies for user access, role-based access control (RBAC), and ensuring audit compliance. Designing Secure Architectures: Develop and design secure IT architectures that protect the organization's data, applications, and infrastructure from cyber threats. Collaboration with Stakeholders: Work closely with other IT teams, business units, and external partners to ensure security requirements are understood and implemented effectively. Security Standards and Best Practices: Establish and enforce security standards, guidelines, and best practices across the organization. Leadership: Provide technical guidance and oversight to the engineering team, system owners and customers. Incident Response Planning: Develop and maintain comprehensive incident response plans and procedures to ensure swift and effective handling of security incidents. Monitoring and Auditing Systems: Design and direct the continuous monitoring of IAM systems for suspicious activities, perform regular audits to ensure compliance with security policies, and generate comprehensive reports on access controls and user activities. Communication: Clearly convey project risks and strategies to senior management and stakeholders, ensuring transparency and informed decision-making. Operational Management and Monitoring: Design monitoring strategies to ensure the continuous availability, performance, and reliability of identity services. Compliance and Risk Management Framework: Design frameworks to ensure compliance with data protection laws and standards (e.g., GDPR, CCPA). Conduct risk assessments and audits to identify and address vulnerabilities. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks. Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives. 12+ years experience in Cybersecurity Architecture Preferred Qualifications- Education & Prior Job Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or a related field; advanced degree preferred. 5+ years' experience in cybersecurity architecture or related roles. Experience designing and implementing comprehensive security architectures and frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their security features. Experience with regulatory compliance and industry standards (e.g., GDPR, PCI-DSS, ISO 27001). Skills, Licenses & Certifications Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Information Systems Auditor (CISA); Certified in Risk and Information Systems Control (CRISC); Certified Information Privacy Professional (CIPP); Certified Information Systems Security Professional - Architecture (CISSP-ISSAP) Proficiency in identity and access management (IAM) tools and technologies Expertise in developing and implementing cybersecurity IAM policies and procedures Knowledge of IAM principles and methodologies Understanding of regulatory requirements and standards related to IAM (e.g., GDPR, HIPAA, SOX) Familiarity with cybersecurity frameworks and standards (e.g., NIST, ISO 27001) Ability to conduct assessments and audits of IAM practices to identify vulnerabilities and gaps Strong problem-solving skills to address IAM management challenges Ability to collaborate effectively with cross-functional teams Experience in managing IAM projects, including planning, execution, and monitoring Proficiency in identity and access management (IAM) solutions (e.g., Saviynt, Okta, Ping Identity, Microsoft Azure AD) Knowledge of authentication protocols (e.g., SAML, OAuth, OpenID Connect, Kerberos) Familiarity with cloud security and cloud IAM (e.g., AWS IAM, Azure AD) Ability to analyze complex security requirements and design effective access management solutions Strong problem-solving skills to address security challenges and incidents Excellent written and verbal communication skills to articulate security concepts and solutions to technical and non-technical stakeholders What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

Job Description Job Description Senior Consultant AI & Automation Advisory Data Protection Services (DPS) Team: Solutions AI & Automation Advisory Reports To: Lead Consultant or Senior Manager, AI & Automation Advisory Role OverviewThe Senior Consultant AI & Automation Advisory is a skilled individual contributor who owns defined delivery tasks and workstream components within WWT's AI & Automation Advisory practice, supporting engagements such as the Client's Data Protection Services (DPS) AI Efficiency Assessment. Positioned below the Lead Consultant, the Senior Consultant brings hands-on depth across AI opportunity assessment, process and workflow analysis, and data protection domain knowledge, executes high-quality client deliverables with growing independence, and begins developing trusted client relationships at the working level. The Senior Consultant is the engine of AI advisory delivery leading current-state discovery across data protection pillars and functions, identifying and cataloguing AI-enabled use cases, supporting feasibility and target-state operating model design, and producing the analytical outputs that underpin client recommendations. They work under the direction of a Lead Consultant, Principal, or Senior Manager, and are expected to grow steadily toward owning full workstreams and contributing to pre-sales activities. What is Expected Engagement Delivery Execute assigned delivery tasks and workstream components within AI efficiency assessment engagements with accountability for quality, accuracy, and on-time completion Lead technical components of the assessment: conduct current-state discovery across Data Protection Fleet pillars (Cryptography and Secrets, Data Leakage Prevention, Data Asset Protection) and horizontal functions (Policy and Architecture, Fleet Enablement, Development, Engineering), document findings, and identify opportunity themes with guidance from the engagement lead Perform hands-on AI opportunity work: use-case identification, process and workflow mapping, agent design input (guided, pillar-specific, and cross-pillar orchestration agents), feasibility scoring, and prioritization support Produce client-ready deliverables current-state assessment packs, AI opportunity inventories, use-case catalogues, target-state operating model inputs, roadmap inputs, and executive summaries that meet WWT's professional services quality standards Facilitate discovery sessions, stakeholder interviews, and working-level workshops with DPS pillar and function stakeholders; synthesize findings into structured outputs for Lead Consultant review Maintain the DPS AI Initiatives Tracker workbook as the engagement's system of record, including entries in the Innovation Backlog, AI Initiatives Register, AI Risk and Controls, and AI Benefits Tracking sheets, and support classification of implementation status and validation of Jira AI labeling Client Engagement Build working-level relationships with DPS pillar and function stakeholders, technology teams, and project sponsors; establish credibility as a reliable, knowledgeable AI advisory resource throughout the engagement Communicate findings clearly and accurately to client counterparts; begin developing the ability to present findings to project sponsors and working-group leadership Contribute to client status reporting, meeting facilitation, and action item tracking under the direction of the engagement lead Pursuit & Practice Support Support pre-sales and pursuit activities: contribute to SOW scoping, effort estimation, and proposal content for AI and automation advisory engagements under the direction of the Lead Consultant or Senior Manager Contribute to practice development through reusable delivery assets, AI opportunity assessment templates, use-case catalogues, and technical write-ups Begin developing commercial awareness: understand engagement economics, utilization expectations, and how delivery quality connects to client satisfaction and account growth Growth & Development Actively build depth across AI/automation domains, agentic architectures, and data protection frameworks through project work, certifications, and self-directed learning Seek and apply feedback from Lead Consultants and Senior Managers; demonstrate consistent growth in delivery independence, communication quality, and domain breadth Begin supporting and coaching more junior colleagues on technical tasks and WWT delivery standards QualificationsRequired 4 8 years of experience in AI/automation strategy, technology consulting, or process engineering with a clear focus on AI-enabled efficiency, agentic solutions, or workflow automation; experience in cybersecurity, data protection, or regulated enterprise environments strongly preferred Hands-on experience across AI advisory domains and platforms, including one or more of: AI Opportunity Assessment current-state process/workflow discovery, use-case identification, feasibility and control-readiness assessment, prioritization frameworks, and business case development Agent & Automation Design enterprise agent and productivity platforms (M365 Copilot, Copilot Studio, Agent Builder, Power Automate AI, Power Citizen), developer coding assistants (GitHub Copilot, Claude Code, Amp), and orchestration/human -in-the-loop design AI Governance & Controls responsible AI principles, model and agent lifecycle controls, risk and controls tracking, data sensitivity classification, and approval/audit alignment Data Protection & Cybersecurity Domain exposure to cryptography and secrets management, data leakage prevention (DLP), data asset protection/DSAR workflows, or security policy and architecture, particularly within regulated or financial services environments Initiative Tracking & Reporting Platforms experience with workbook- or Jira-based initiative tracking, KPI/benefits tracking, and executive dashboard reporting Working knowledge of AI and data protection frameworks: responsible/trustworthy AI principles, NIST AI RMF, enterprise SDLC and engineering standards, and data protection concepts spanning cryptography, secrets management, DLP, and data asset protection Understanding of core AI advisory concepts: AI category taxonomies (Automate, Assist, Augment, Generate, Analyze), lifecycle stages (Idea/Concept through Deployed/Scaled), human-in-the-loop design, feasibility vs. desirability vs. viability, and control readiness in regulated environments Demonstrated consulting delivery competencies, including: Structured discovery: ability to conduct current-state discovery interviews, gather documentation and workbook/Jira evidence, manage information collection across pillars and functions, and synthesize findings into clear, structured outputs Opportunity and gap analysis: experience assessing operating-model maturity against AI adoption criteria, documenting opportunity and control gaps, and prioritizing findings by business impact and feasibility Technical communication: ability to translate AI opportunity and data protection findings into clear written deliverables and verbal summaries for technical and working-level client audiences Workshop facilitation: participate in and contribute to discovery sessions, opportunity-identification workshops, and validation sessions; begin developing the ability to facilitate independently Deliverable quality: consistent track record of producing accurate, well-structured client deliverables assessment packs, use-case catalogues, workbook updates, and roadmap inputs on time and to standard Engagement collaboration: work effectively within project teams; communicate status, risks, and issues proactively to the engagement lead; adapt to shifting priorities and client needs Preferred Bachelor's degree in Computer Science, Information Security, Data Science, Business, or a related field Certifications demonstrating AI, automation, or security knowledge: Microsoft Certified: Copilot or related AI credentials, CISSP, CISM, CISA, PMP, or equivalent Experience in enterprise environments across financial services, healthcare, or other regulated sectors particularly where AI adoption intersects with cybersecurity, data protection, or regulatory scrutiny Prior consulting experience at a professional services firm, systems integrator, or equivalent client-facing advisory role Familiarity with pre-sales processes: SOW development, effort estimation, or proposal support for AI/automation advisory engagements Key Competencies AI/automation domain depth and hands-on opportunity assessment execution Delivery quality and individual accountability Clear technical communication written and verbal Collaborative team contributor with a growth orientation Success in this role means executing AI efficiency assessment deliverables with high quality and growing independence, building credibility with client teams through consistent performance, expanding domain depth across AI advisory and data protection, and contributing to a practice that clients trust and return to while building toward the skills and experience required to step into a Lead Consultant role.

Job Description Job Description Pay Rate Range: $ 45.45 - 49.24/hr. Job Title: C,C Developer Job Description: •Design, develop, and deploy AI-powered products, intelligent agents, and agentic workflows utilizing Large Language Models (LLMs), retrieval systems, orchestration frameworks, tool-calling patterns, and context-aware workflows. •Architect and implement advanced agentic systems incorporating planning, reasoning loops, memory management, grounding, evaluation frameworks, safety mechanisms, and human-in-the-loop controls. •Lead the transition of AI solutions from proof-of-concept to production by establishing best practices for reliability, observability, performance, security, governance, and cost optimization. •Develop scalable AI applications and developer productivity solutions using modern AI frameworks, SDKs, and orchestration platforms. Responsibilities • Partner with Product Management to elaborate features, stories, and test strategy for each initiative • Create technical design and assign work to developers • Develop complex stories in C and write unit tests in C (Google Test) • Be a human quality gate by leading code and design reviews • Collaborate with other Principals and Leads to define interfaces and interactions between systems • Advise on implementation strategy for successful deployment • Implement development process improvements and automation • Coach and develop junior employees • Deliver department and external presentations Skills: C Unix / Linux Basics and Commands Experience Required: 6-8 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNUnix / Linux Basics and CommandsYes14-7 years

Job Description Job Description Request ID: 110309-1 Job Title: C,C++ Developer Locations: Onsite: O'Fallon, MO Duration: 6 Months Pay Range: $35 - $49/Hour on W2/C2C (All inclusive) ROLE_DESCRIPTION •Design, develop, and deploy AI-powered products, intelligent agents, and agentic workflows utilizing Large Language Models (LLMs), retrieval systems, orchestration frameworks, tool-calling patterns, and context-aware workflows. •Architect and implement advanced agentic systems incorporating planning, reasoning loops, memory management, grounding, evaluation frameworks, safety mechanisms, and human-in-the-loop controls. •Lead the transition of AI solutions from proof-of-concept to production by establishing best practices for reliability, observability, performance, security, governance, and cost optimization. •Develop scalable AI applications and developer productivity solutions using modern AI frameworks, SDKs, and orchestration platforms. Responsibilities • Partner with Product Management to elaborate features, stories, and test strategy for each initiative • Create technical design and assign work to developers • Develop complex stories in C and write unit tests in C++ (Google Test) • Be a human quality gate by leading code and design reviews • Collaborate with other Principals and Leads to define interfaces and interactions between systems • Advise on implementation strategy for successful deployment • Implement development process improvements and automation • Coach and develop junior employees • Deliver department and external presentations SKILLS_REQUIRED 8+ Years if exp in C.C++ ,Linux , google test Skills: C++, Unix / Linux Basics and Commands Experience Required: 6-8 Company Benefits & Culture • Inclusive and diverse work environment • Opportunities for professional growth and development • Comprehensive health and wellness benefits .

Job Description Job Description We're seeking an experienced Data Scientist to join a dynamic team. Basic Qualifications for a Sr. Principal Data Scientist: Must have one of the following: High school diploma or equivalent with 12 years of experience Bachelor's degree with 8 years of experience Master's degree with 6 years of experience Understanding of IC data requirements and challenges. Ability to align data initiatives with the DoD's strategic goals and IC mission objectives. Knowledge of data lifecycle management, including data governance, data quality, and data security. Understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data storage and processing. Proficiency with databases (SQL, NoSQL) and data warehousing solutions. Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively. Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").

Job Description Job Description Title: SAP Developer/Global Support Manager Location: SC On- site/Remote/Hybrid: REMOTE Duration: 12 Months Interview Process: Webcam or In-Person No of submissions: 2 No of Positions: 1 Fully Remote with occasional onsite visits required. (The consultant should anticipate being onsite approximately 2-4 business days per month or as frequently as directed by DEA leadership). No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours. All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work. Job Description: DEA requires a Principal Azure Cloud and Integration Architecture with extensive experience designing, implementing, and governing enterprise-scale cloud solutions. This resource will provide senior-level architecture leadership for DEA's modernization initiatives, including the development of a cloud-native integration platform supporting integrations between statewide agencies, SCEIS, and enterprise business applications. The consultant will provide technical architecture expertise across Azure cloud services, enterprise integration patterns, API management, data platforms, DevOps practices, and cloud governance. This role will work closely with enterprise architects, application teams, infrastructure teams, cybersecurity, vendors, and business stakeholders to ensure solutions are scalable, secure, maintainable, and aligned with enterprise technology strategy. Opportunity to: • Lead the architecture, design, and implementation of a modern Azure cloud-native integration platform supporting statewide agencies, SCEIS, and enterprise HR and ERP systems. • Establish scalable integration patterns using APIs, event-driven architecture, asynchronous messaging, and cloud-native Azure services. • Design and guide implementation of a statewide Azure data lake and supporting data engineering capabilities. • Provide technical leadership for DevOps, GitOps, CI/CD, security, observability, and operational readiness. • Define architecture standards, technical patterns, and governance practices that support secure, reliable, and maintainable enterprise solutions. • Mentor developers, engineers, and architects while supporting knowledge transfer and long-term internal capability development. Scope of the project: DEA is developing a cloud-native integration platform in Microsoft Azure to support enterprise integrations between statewide agencies, SCEIS, and internal applications. The platform will provide modern synchronous and asynchronous integration capabilities using RESTful APIs, event-driven architecture, enterprise messaging patterns, data lakehouse technologies, and enhanced observability capabilities. The consultant will provide principal-level architecture expertise to guide solution design, technical implementation, and enterprise adoption of the platform. Daily Duties / Responsibilities: • Lead the architecture, design, and implementation of enterprise Azure cloud solutions supporting DEA's modernization initiatives. • Design and establish scalable cloud-native integration patterns utilizing APIs, event-driven architecture, data integration, and Azure platform services. • Provide technical leadership and architecture guidance to development teams, project teams, and implementation partners throughout the solution lifecycle. • Develop and maintain cloud architecture standards, technical documentation, governance practices, and solution recommendations aligned with enterprise objectives. • Collaborate with business stakeholders, enterprise architects, infrastructure, cybersecurity, and vendors to deliver secure, reliable, and scalable enterprise solutions. • Mentor technical staff and support knowledge transfer while promoting cloud engineering best practices and continuous improvements. Required skills (must include years of experience, in order of importance) • Minimum of 10 years of experience designing, developing and implementing enterprise technology solutions. • Minimum of 7 years of experience designing and implementing cloud solutions and cloud-native architectures using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or comparable enterprise cloud platforms. • Demonstrated experience designing enterprise integration solutions utilizing REST APIs, event- driven architecture, asynchronous messaging, and distributed systems. • Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies. Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, DevOps practices, and development automation using tools such as Terraform, Bicep, ARM templates, or equivalent technologies. • Strong understanding of cloud security, identity and access management, scalability, performance optimization, monitoring, and operational support. • Experience establishing cloud architecture standards, technical design pattern, governance practices, and solution documentation. Required Education: Bachelor's degree in Computer Science, Information Technology, Engineering Data Science, or a related technical field. An equivalent combination or relevant education, professional certifications, and progressively responsible experience may be considered in lieu of the degree requirement. Preferred Skills (Rank in order of Importance): • Experience integrating SAP, SAP S/4HANA, ERP platforms, HR systems, or enterprise financial applications. • Experience supporting large-scale government, public-sector, or highly regulated technology environments. • Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or other ERP systems. • Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns. • Microsoft Azure, TOGAF, or comparable cloud and enterprise architecture certifications. Required / Preferred Certifications: Preferred: • Azure Solutions Architect Expert • Azure Developer Associate • Azure Data Engineer Associate • TOGAF or equivalent Enterprise Architecture Certification About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.

Job Description Job Description Pay Rate: $190K - $200K /10% bonus Location: Oshkosh, WI or New Hudson, MI Work Mode: Hybrid Summary: Shift: 3 days in office and 2 days remote Relocation: Yes, willing to relocate for the right person Travel: less than 10% US Citizen Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across various segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks. Provide technical mentorship and guidance to data scientists and machine learning engineers. Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to stakeholders. Requirements: Minimum 8 years of experience in analytics and AI. Proven experience delivering analytics or AI projects tied to business outcomes. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. Experience working between business teams and IT/analytics. Strong communication, business acumen, and ability to influence senior leaders. Demonstrated experience mentoring junior team members. Experience with industrial IoT, telematics, edge AI, or time-series sensor data. Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. Deep experience with ML/AI frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. Preferred Skills: Awareness of and openness to market-based or vendor-led AI solutions. A consultative, outcome-focused approach to delivering solutions. Background in computer vision (CV), autonomous vehicle tech, or robotics. Experience working in a portfolio company with multi-business units; preferably a manufacturing company. Domain expertise in supply chain, manufacturing, or lifecycle services. Consulting experience (nice to have). Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management. Advanced Degree (MBA and/or PhD). Benefits: Competitive salary with performance-based bonus. Opportunity for relocation for the right candidate. Hybrid work mode offering flexibility. Engagement with cutting-edge AI/ML initiatives.