821 jobs found

Job Description Job Description Job Title: Senior Application Developer - .NET with GIS Location: New York, NY 10271 Contract Duration: 18 Months NO BENEFITS Minimum Experience: 8+ Years Interview Process: In-Person Interview Only Important Note: Candidates must be available for an in-person interview when the interview process begins to be considered. Key Requirement: Minimum of 4 years of experience in ArcGIS Pro and/or ArcMap-based GIS solution design and development. Job Summary We are seeking an experienced Senior Application Developer specializing in .NET technologies and Geographic Information Systems (GIS). The ideal candidate will have strong full-stack development experience, expertise in Microsoft Azure and SQL Server, and hands-on experience designing, developing, and enhancing GIS applications using Esri technologies. The candidate will be responsible for developing scalable applications, creating custom GIS tools, managing spatial data, integrating enterprise systems, and optimizing application performance. Strong problem-solving, communication, and collaboration skills are essential. Key Responsibilities Develop full-stack applications using Microsoft .NET technologies, including C#, VB.NET, ASP.NET, .NET Core, .NET 9.0, Entity Framework, JavaScript libraries, and ArcGIS Maps SDK for .NET. Analyze, design, and develop application interfaces and integration workflows using Visual Studio and related development tools. Design, develop, and optimize database structures and SQL queries using Microsoft SQL Server. Utilize Microsoft Azure services, including Azure App Service, Azure SQL Database, and Azure Functions, to develop scalable and reliable cloud-based applications. Integrate GIS applications and spatial data with enterprise systems to improve operational efficiency and data accessibility. Design, develop, and enhance ArcGIS Pro-based applications and custom extensions for editing linear and point features. Create custom tools, scripts, and workflows in ArcGIS Pro to improve GIS data editing and processing. Manage, process, and analyze spatial data from multiple sources. Maintain GIS dataset accuracy and integrity through data conversion, validation, quality assurance, and updates. Optimize spatial databases and file geodatabases for performance and usability. Develop integration solutions connecting GIS platforms with enterprise applications and third-party systems. Automate GIS workflows using Python, ArcPy, Arcade, ModelBuilder, and related tools. Collaborate with front-end developers and interface designers to integrate user-facing components with server-side logic. Work with stakeholders to gather requirements and translate business needs into effective technical solutions. Participate in code reviews to maintain code quality and identify opportunities for improvement. Troubleshoot and resolve complex application issues to maintain system stability and performance. Communicate project updates, technical challenges, and requirements to team members and stakeholders. Create and maintain technical documentation, including system designs, workflows, and user guides. Ensure applications comply with security standards, industry best practices, and established development guidelines. Prepare technical documentation and conduct knowledge-transfer sessions to support application adoption and maintenance. Evaluate emerging technologies and recommend improvements to application development processes and GIS solutions. Required Qualifications, Skills, and Experience Education and Overall Experience Bachelor's degree in Computer Science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related field. Master's degree is preferred. Minimum of 8 years of professional experience in full-stack .NET development . Minimum of 4 years of experience in ArcGIS Pro and/or ArcMap-based GIS solution design and development . .NET Application Development Strong hands-on experience with: C# VB.NET ASP.NET .NET Core .NET 9.0 Entity Framework MVC Microsoft SQL Server Microsoft Azure Solid understanding of front-end technologies, including HTML, CSS, and JavaScript. Experience with front-end frameworks such as React or Angular. Experience developing and integrating RESTful APIs. Strong knowledge of software architecture principles, design patterns, and application development best practices. Experience developing scalable, secure, and maintainable enterprise applications. GIS and Esri Technologies Minimum of 4 years of experience designing and developing GIS solutions using ArcGIS Pro and/or ArcMap. Hands-on development experience with ArcGIS Maps SDK for .NET. Experience developing and extending ArcGIS Pro editing tools and custom GIS applications. Proficiency in Python, ArcPy, Arcade, and ModelBuilder for GIS automation and workflow development. Demonstrated experience with Esri products, including: ArcGIS Pro ArcGIS Enterprise ArcGIS Server ArcGIS Portal ArcGIS Desktop ArcGIS Online ArcMap Enterprise geodatabases and related data storage technologies Experience managing and editing spatial data, including linear and point features. Knowledge of GIS data management, spatial analysis, data conversion, and quality assurance. Experience integrating GIS applications with enterprise platforms and third-party systems. Knowledge of emerging GIS technologies and application development practices. Database and Cloud Technologies Strong experience with Microsoft SQL Server, including database design, query development, and performance optimization. Experience working with geospatial data in Microsoft SQL Server, Oracle Spatial, and PostgreSQL/PostGIS. Familiarity with relational databases and enterprise geospatial database management. Experience using Microsoft Azure services, including Azure App Service, Azure SQL Database, and Azure Functions. Understanding of cloud application development, deployment, and integration. DevOps and Development Tools Familiarity with DevOps practices and continuous integration/continuous delivery (CI/CD). Experience with version control using Git and GitHub. Familiarity with application lifecycle management tools, including Azure DevOps and related development tools. Understanding of software release management and deployment practices. Experience participating in code reviews and maintaining software quality standards. Professional Skills Excellent analytical, troubleshooting, and problem-solving skills. Strong written and verbal communication skills. Ability to work effectively with technical and non-technical stakeholders. Strong collaboration and teamwork skills. Ability to understand end-user requirements and recommend appropriate technical solutions. Ability to work independently with minimal supervision. Strong organizational and project management skills. Ability to manage multiple projects and priorities under tight deadlines. Commitment to maintaining application security, performance, reliability, and code quality. Preferred Qualifications Microsoft Azure certifications. Experience developing enterprise-scale GIS applications and integrations. Knowledge of emerging technologies and modern software development practices. Experience improving existing GIS workflows and application performance.

AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Full Stack Developer - Drupal Lead for a Full-Time position. Role Summary The technical lead for WHD's Drupal modernization program, designated as Key Personnel under the task order. This hands-on Senior Full Stack Drupal Lead architects, builds, and guides delivery of the migration of WHD's legacy ASP.NET/DB2 applications to Drupal 10+ on DOL's PACE platform (EKS, Aurora MySQL, EFS, S3, Secrets Manager, CloudFront/WAF), and of new public-facing portals integrated with Appian case management. The role sets the technical standard for the team, acts as the primary technical counterpart to DOL OCIO and WHD leadership, and builds Drupal as a reusable enterprise platform rather than a set of standalone sites. Key Responsibilities • Serve as hands-on technical lead and architect for the Drupal team, leading analysis, design, development, testing, and administration of WHD's modernized applications. • Own the target Drupal solution architecture on DOL PACE and keep it aligned with the product roadmap and DOL enterprise, platform, and solution architecture; obtain DOL OCIO technical guidance and approvals. • Design event-driven integrations between Drupal and Appian (WISE/CAPS) using Kafka (e.g., Form Submitted, Document Uploaded, Status Changed), backed by versioned, API-first REST services. • Integrate Drupal with federal systems on premises and in the cloud: Login.gov, DOL SSO, SharePoint, Amazon S3 document exchange, and the OCIO AI chatbot module. • Architect a configuration-driven enterprise form framework on the Drupal Webform module, supporting dynamic and multi-step forms, conditional questions, reusable validation, document upload, and multilingual content. • Build reusable enterprise components (Kafka framework, API framework, authentication, notifications, audit logging, error handling) that future DOL projects can reuse. • Evaluate and select contributed Drupal modules and marketplace plugins before writing custom code; design and develop custom modules and connectors where needed. • Create and oversee technical process models, data models, and user interface designs; plan and execute data migration from DB2 to MySQL and data reporting activities. • Ensure solutions meet federal standards: OWASP Top 10, NIST SP 800-53 controls, FISMA ATO requirements, externalized secrets (Secrets Manager / Pod Identity), and Section 508 / WCAG AA. • Review and verify implementations against design best practices, performance (3-second load, 99.9% uptime), and security; lead code reviews each sprint. • Lead the team's AI-assisted development practice using DOL-approved tools (Microsoft Copilot) to meet the contract's requirement of up to 50% AI-generated code, with human review, security scanning, and CI/CD validation of all output. • Lead technical planning, estimation, and requirements gathering; mentor developers from requirements through delivery; keep design sessions, scrums, and other Agile/SAFe ceremonies running smoothly. • Work directly with WHD end users, SMEs, Product Owners, and Federal Project Managers to confirm that application functionality meets business needs. Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). • 10+ years of hands-on full stack development experience as a team lead or architect, including a minimum of 5 years of Drupal experience. • Experience with the Drupal Webform module, custom module development, and integrating Drupal with federal systems (on premises and cloud). • Deep proficiency in PHP, Symfony/Drupal APIs, MySQL, JavaScript, Twig, and REST API design. • Experience with .NET (C#, ASP.NET) sufficient to analyze and migrate legacy applications. • Experience with AWS and/or Azure and container-based deployments (Docker, Kubernetes). • Experience delivering solutions that meet federal security and Section 508 standards. • Agile/SAFe and related developer certifications, or demonstrated equivalent experience; experience leading Agile/SAFe teams, preferably in the federal space. • Substantial experience with AI-assisted programming tools (e.g., GitHub Copilot, Microsoft Copilot, Gemini, or other DOL-approved tools). • Strong communication skills for working directly with federal stakeholders and mentoring developers. • U.S. person; must obtain and maintain a favorable NACI / HSPD-12 background investigation. Preferred Qualifications • Acquia Certified Drupal Developer, Back End Specialist, or Grand Master certification. • Experience with Kafka event-driven architecture and Appian integrations. • Experience hosting Drupal on AWS EKS with Aurora, EFS, S3, CloudFront, and Secrets Manager. • Experience leading legacy .NET-to-Drupal modernization or large-scale content and data migrations. • Experience integrating AI services (chatbots, OCR, document classification) into Drupal applications. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

Position Overview We are seeking a highly skilled Planisware Technical Architect to lead the technical design, architecture, integration, configuration, and implementation of an enterprise Planisware platform supporting General Motors' Product Development, R&D, PMO, Planning, and related organizations. The successful candidate will serve as a primary technical authority for Planisware solutions and will work closely with business stakeholders, IT leadership, enterprise architects, product owners, systems analysts, integration teams, and implementation partners. This is an excellent opportunity to work on a growing enterprise platform and help drive the transition toward a scalable SaaS-based Planisware solution. Key Responsibilities Solution Architecture & Platform Design Define and maintain the overall technical architecture for Planisware implementations. Design scalable solutions supporting portfolio management, project management, resource planning, financial planning, and scenario planning. Design strategies across development, testing, and production environments. Ensure compliance with enterprise architecture, security, and integration standards. Establish reusable technical components, standards, and best practices. Planisware Configuration & Development Lead technical configuration of the Planisware platform. Guide development teams on configuration, customization, extensions, workflows, and automation. Review technical designs and code for performance, scalability, and maintainability. Support release management, deployment planning, and environment governance. Enterprise Integration Design and oversee integrations between Planisware and enterprise systems such as: SAP Jira Active Directory / SSO Data warehouses Reporting platforms Planning and portfolio management systems Define API, file-based, and event-driven integration patterns. Partner with integration and data engineering teams to deliver secure and reliable data exchanges. Data Migration & Architecture Own technical strategies for data conversion and migration. Design migration frameworks, validation, reconciliation, and cutover approaches. Lead data quality assessments and remediation. Support migration of project, portfolio, resource, financial, and historical data. Security & Operations Establish platform governance and technical operating procedures. Design role-based security models and access controls. Support audit, compliance, and regulatory requirements. Define monitoring, performance management, backup, disaster recovery, and operational support processes. Stakeholder Collaboration Work with business leaders, PMO organizations, Finance, Product Development, IT stakeholders, and implementation partners. Translate business requirements into technical solution designs. Lead architecture reviews, design workshops, and technical decision-making sessions. Mentor internal technical resources and help establish a Planisware Center of Excellence. Required Qualifications 8+ years of enterprise application architecture experience. 5+ years of Planisware implementation and configuration experience. Proven experience working as a Technical Architect on large-scale Planisware deployments. Strong experience with Planisware Enterprise. Strong understanding of Planisware SaaS architecture. Experience with resource and portfolio planning. Experience with project financial management. Enterprise integration experience. Data migration and data architecture experience. Strong understanding of API-based integration architectures. Experience with cloud-based enterprise applications and SaaS deployment models. Excellent communication and stakeholder management skills. Technical Skills Planisware Enterprise Planisware Platform Configuration Planisware Data Model Design Workflow Automation Portfolio & Resource Management Financial Planning Scenario Planning Reporting & Dashboards Security Administration REST APIs Web Services ETL / Data Migration SFTP / File-Based Integrations Identity Management / SSO Enterprise Architecture Solution Architecture Data Architecture Integration Architecture Cloud / SaaS Platforms SQL / Relational Databases Java / JavaScript Preferred Qualifications Experience supporting automotive, manufacturing, engineering, or R&D organizations. Experience implementing enterprise PPM solutions at global scale. Familiarity with: SAP Jira Azure Power BI ServiceNow Enterprise Data Lake architectures Experience establishing or operating a Portfolio Management Center of Excellence. Planisware Developer certification is preferred. Education High School Diploma required. Bachelor's degree preferred.

Artificial Intelligence Senior Associate Overview / Summary We are seeking an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. This role focuses on building multi-agent systems, RAG pipelines, data-driven applications, and AI services that solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities. The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities. Architect and deploy production multi-agent orchestration systems using modern agent frameworks with state management and checkpointing. Design and productionize RAG pipelines, including chunking, embeddings, hybrid retrieval, and reranking. Build data-driven applications that translate data into actionable intelligence through large-scale experimentation. Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming. Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation. Design and implement safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code solutions for deploying AI services in cloud environments. Implement evaluation pipelines and observability/tracing for AI and agent systems, including evaluation datasets, LLM-as-judge scoring, and regression monitoring. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to support safe and reliable AI outputs. Design cost and latency optimization strategies, including tiered model routing and caching. Integrate validated AI outputs with operational systems and reporting pipelines. Collaborate with data scientists to productionize AI prototypes into scalable, monitored services. Establish versioning, testing, and safe rollout practices for evolving AI and agent logic. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 3+ years of experience building production software systems, including 1-2+ years working on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production. Strong Python proficiency, including asynchronous/concurrent programming. Experience with backend frameworks such as FastAPI or Flask. Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex, or equivalent. Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally with Google Cloud Platform. Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build. Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent. Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL. Strong software engineering fundamentals, including API design, testing, version control, and security best practices. Experience with Google Cloud Platform. Preferred Qualifications Experience with cost optimization and model routing, including tiered pipelines and per-task or per-conversation cost modeling. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool and data integration across agents. Experience in a startup or 0-to-1 product environment with evolving requirements. Master's degree in Computer Science, Software Engineering, or a related field. Work Arrangement Hybrid work arrangement with four days per week onsite. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

About Arcticom, LLC Arcticom LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Cloud Engineer Location - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Develop architecture for Cloud environments. Promote DevOps engineering principles throughout the portfolio. Assess cloud architecture for scalability, security, resilience, and mission alignment. Use logic and reasoning to identify the strengths and weaknesses of alternative technical solutions, conclusions, or approaches to problems, driving data- driven decisions. Evaluate the analytics from the cloud environment to make recommendations for improvements and optimization. Provide technical advisory to leadership, engineers, and cybersecurity SMEs. Ensure cloud solutions are secure, interoperable, and compliant with engineering, cybersecurity, and program requirements. Build out solutions that monitor performance and deliver capabilities such as data interfaces, generative AI, Large Language Models (LLMs), and workflows. Use of systems engineering practices such as digital twin, modeling, and simulation to improve the systems of systems technology stack. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's Degree or seven years of equivalent experience Seven years of experience in all aspects of cloud computing (compute, storage, platforms, data, and security). Proven track record in implementing large-scale cloud environments. Hands-on experience in cloud computing-based services architecture, technical design, and implementations, including IaaS and PaaS. Must be a US Citizen. Must have or be able to attain a SECRET security clearance. Knowledge, Skills, Abilities, and Other Characteristics Deep knowledge of AWS, Azure, Oracle, or Google Cloud, with experience in large-scale deployments. Strong knowledge of Cloud cost optimization techniques. Experience in one or more automation languages (CLI, Python, Ruby, PowerShell). Strong knowledge of Direct Connect, Private Link, VPN and other Public Cloud connectivity solutions. Thorough understanding of infrastructure automation, CI/CD, networking, storage, and cloud-based delivery models. Strong knowledge in networking and web standards such as DNS, DHCP, TCP/IP, HTTP, web security & firewalls. Highly experienced in autoscaling, load balancing and DR cloud computing models. Experience in SSO/Federation. Working knowledge of configuration management tools (Chef, Puppet & Ansible). Thorough understanding of Cloud native, vendor agnostic & cloud ready app development. Thorough understanding of Cloud Governance. Strong working knowledge in cloud monitoring tools, application performance monitoring tools and operational dashboarding. Preferred Agile development experience. Active SECRET security clearance. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Typical work hours are 7:30 a.m. to 4:15 p.m. (Central Time). This job may require additional hours. Work hours may change at Management's discretion with or without prior notice. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Genesis10 is currently seeking a Senior AI Engineer for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This is a 3+ month contract-to-hire opportunity. Candidates can also be located in: Charlotte, NC; Atlanta, GA: Chicago, IL; Minnetonka, MN; Detroit, MI; Dallas, TX. Compensation: $65.00 - $75.00 per hour, W2, based on qualifications Position Overview: We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Key Responsibilities: Develop and maintain AI platforms, tools, and frameworks used by engineers across the company, including Claude Code, GitHub Copilot, MCP servers, plugins, skills, and agentic frameworks Implement AI platform services, orchestration patterns, reference implementations, and shared integration components Design and deliver tools that support the development of custom agents and workflows Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on GCP Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities Mentor junior engineers on the team and on development teams, contributing to a culture of continuous improvement Primary Requirements: Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field 5-7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline Proven experience delivering high-quality software solutions in production environments Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities Experience with cloud-based AI services platforms such as GCP/AWS Gemini, and Vertex AI or comparable model platforms Solid understanding of application architecture, integration patterns, APIs, and software design principles Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns Understanding of the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams AI Platforms: GCP/AWS Cloud, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns Developer Tools: Claude Code, GitHub Copilot, custom instructions, prompts, skills, plugins, and extensions Agent Integration: MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication Frameworks: Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries Application Development: Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns Security and Governance: OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control Operations: CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token utilization, performance, reliability, and incident support Desired Skills: Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow Designing or implementing custom AI agents, reusable orchestration patterns, shared integrations, or reference implementations Building sequential, multi-agent, or deterministic graph-based agent workflows Building or integrating MCP servers and clients to expose tools, resources, or data sources to AI agents Enabling agent-to-agent communication using A2A or comparable protocols Experience with Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM integration libraries and SDKs Experience with Gemini Agent Platform / Vertex AI capabilities such as model garden, model runtime, model gateway, or agent gateway Implementing model governance controls such as GCP Model Armor, cost controls, token limits, rate limits, and access policies Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on GCP Exposure to containerization, microservices, and cloud-native application architecture Experience working with CI/CD pipelines in Harness and Azure DevOps Familiarity with Agile/Scrum methodologies and development practices for shared platform capabilities Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Pay Range: $40.00hr - $45.00hr Job Overview: Seeking a Full Stack Java Developer who will be responsible for making an impact by designing, developing, and delivering scalable enterprise applications using Java, Spring Boot, and React.js technologies. The successful candidate will be a valued member of the application development team and work collaboratively with architects, product owners, business stakeholders, and distributed delivery teams to build high-quality digital solutions. Responsibilities: Design, develop, and maintain full-stack enterprise applications using Java, Spring Boot, React.js, and related technologies. Build, enhance, and integrate RESTful APIs and microservices that support business-critical applications. Perform hands-on coding, debugging, testing, code reviews, and application performance optimization. Provide technical guidance to offshore development teams by resolving technical challenges and supporting successful delivery. Analyze business requirements and translate them into scalable and maintainable technical solutions. Participate in Agile ceremonies and contribute to continuous improvement initiatives. Follow best practices for code quality, security, testing, and software development lifecycle processes. Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Requirements: 8+ years of experience in full stack application development with strong hands-on expertise in Java, Spring Boot, React.js, and enterprise application development. Strong hands-on experience in Java application development using Spring Boot. Proven experience developing full-stack applications with React.js, Redux, JavaScript, HTML5, and CSS3. Experience designing, developing, and integrating RESTful APIs and microservices. Strong understanding of software development best practices, debugging, troubleshooting, and performance tuning. Experience with unit testing frameworks and code quality standards. Hands-on experience with Git, CI/CD pipelines, and DevOps practices. Experience working within Agile/Scrum delivery environments. Ability to analyze requirements, design technical solutions, and work independently. Strong communication and collaboration skills with onsite and offshore teams. Experience implementing AI Chatbots and Retrieval-Augmented Generation (RAG) solutions. Exposure to Generative AI technologies and Large Language Model (LLM) integrations. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, and containerized application deployments. Experience mentoring developers and leading technical discussions. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a Salesforce Technical Product Owner (TPO) to drive product vision, strategy, and execution for Salesforce-based business solutions. The ideal candidate will bridge business and technology teams, translate business needs into scalable Salesforce solutions, and prioritize product backlogs to maximize business value. Key Responsibilities: Define and communicate product vision, roadmap, and business objectives for Salesforce initiatives. Partner with business stakeholders to gather, analyze, and prioritize requirements. Manage and own the product backlog, user stories, acceptance criteria, and sprint priorities. Collaborate with Salesforce Architects, Developers, QA teams, and UX stakeholders to deliver solutions. Translate complex business requirements into technical specifications and actionable user stories. Drive Agile ceremonies, including backlog refinement, sprint planning, reviews, and retrospectives. Ensure Salesforce solutions align with business goals, user experience, scalability, and compliance requirements. Evaluate product performance using KPIs and user feedback to drive continuous improvement. Work closely with release management and change management teams for successful deployments. Act as the primary liaison between business users and the development team. Required Skills & Qualifications: Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field. 8+ years of IT experience with 3+ years as a Product Owner or Product Manager in Salesforce ecosystems. Strong experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, or Revenue Cloud. Proven experience in Agile and Scrum delivery environments. Strong understanding of Salesforce platform capabilities, integrations, APIs, Flows, and Lightning Experience. Experience writing epics, user stories, and acceptance criteria, as well as managing product backlogs. Strong stakeholder management, communication, and analytical skills. Ability to balance business priorities with technical constraints. Preferred Qualifications: Salesforce certifications such as Salesforce Administrator, Sales Cloud Consultant, Service Cloud Consultant, or Platform App Builder. Certified Scrum Product Owner (CSPO) or SAFe Product Owner/Product Manager certification. Experience with Data Cloud, Agentforce, Einstein AI, CPQ, or MuleSoft. Exposure to enterprise integrations and digital transformation programs. Key Competencies: Product Strategy & Roadmap Management. Backlog Prioritization. Stakeholder Management. Salesforce Platform Expertise. Agile Product Ownership. Requirement Management. Data-Driven Decision Making. Business Process Transformation. Nice to Have: Experience in Telecom, Banking, Retail, or Healthcare domains. Knowledge of AI-driven Salesforce capabilities, Generative AI, and Agentforce. Experience managing global teams and large-scale Salesforce transformation programs. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $59.35hr - $77.03hr Job Overview: We are seeking an experienced Microsoft Purview Engineer to design, implement, configure, and operate enterprise data security, information protection, compliance, and data governance solutions using Microsoft Purview. The engineer will translate enterprise data protection and governance requirements into scalable technical solutions across Microsoft Fabric, Azure, cloud, endpoint, and enterprise data environments. The role partners with cybersecurity, data, cloud, Fabric, Microsoft 365, architecture, legal and compliance, application, and business teams to protect sensitive information while enabling secure data use, analytics, Microsoft Fabric, and enterprise AI adoption. Major Responsibilities: Design, configure, deploy, and support Microsoft Purview capabilities across enterprise environments. Engineer solutions for information protection, sensitivity labeling, Data Loss Prevention (DLP), data classification, and data security posture management. Configure sensitive information types, classifiers, labels, policies, and related data protection controls in Microsoft Fabric. Develop and maintain enterprise standards, configurations, operating procedures, and support documentation. Troubleshoot complex Purview configuration, policy, integration, and operational issues. Automate repeatable administration, monitoring, and engineering activities where appropriate. Design and implement DLP policies for Microsoft Fabric and other supported enterprise environments. Implement and maintain enterprise sensitivity labels and information-protection policies in Microsoft Fabric. Support Client and classification of sensitive information using Sensitive Information Types and classifiers. Analyze policy matches, exceptions, false positives, and business impact; tune controls to improve effectiveness. Collaborate with application owners, data owners, and data stewards to remediate identified data-protection risks. Implement and support Microsoft Purview Data Map and Unified Catalog capabilities. Configure scanning and metadata Client across supported enterprise data environments. Support data cataloging, business metadata, classification, lineage, data domains, and governance processes. Work with data owners and stewards to improve data discoverability, ownership, quality, and governance. Implement role-based access aligned with least-privilege principles. Engineer and support Purview capabilities that improve visibility into sensitive-data exposure and risk. Support Data Security Posture Management and collaborate with security teams on remediation. Support Insider Risk Management, Audit, and data-security investigation requirements where applicable. Develop monitoring and reporting for policy coverage, data exposure, control effectiveness, and remediation status. Partner with cybersecurity teams during investigations involving sensitive enterprise information. Configure and support Client, Audit, Data Lifecycle Management, Records Management, and Compliance Manager based on organizational requirements. Partner with Legal, Cybersecurity, Privacy, Records Management, and Compliance teams to translate requirements into technical configurations. Support retention, records, and information lifecycle requirements. Produce technical documentation and evidence for governance, audit, and compliance processes. Support secure enterprise adoption of AI applications and AI agents through appropriate Purview data-security controls. Identify sensitive-data exposure and oversharing risks associated with enterprise AI use. Work with AI, cybersecurity, identity, application, and data teams to establish reusable data-protection patterns for AI solutions. Evaluate evolving Purview capabilities applicable to AI data security and incorporate approved capabilities into enterprise architecture. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Engineering, or a related discipline, or equivalent relevant experience with 6+ years of relevant experience. Strong hands-on experience with Microsoft Purview, Microsoft Fabric, Microsoft 365 security and compliance technologies, data governance, or enterprise data security. Demonstrated Azure + Purview + Fabric/OneLake experience. Advanced hands-on expertise implementing Microsoft Purview solutions in large enterprise environments. Ability to independently design complex Purview solutions and translate security, governance, and compliance requirements into technical architectures. Experience with Microsoft Fabric, OneLake, Azure Data Lake, Azure SQL, and related enterprise data platforms. Experience implementing or supporting Information Protection, sensitivity labels, DLP, data classification, retention, or related capabilities. Strong understanding of Microsoft Azure, Microsoft Fabric, and Microsoft 365. Ability to lead technical initiatives, solution designs, implementation patterns, and production deployments. Ability to mentor engineers and establish engineering standards and implementation practices. Ability to evaluate emerging Purview capabilities and recommend enterprise adoption approaches. Experience troubleshooting complex enterprise security or data-governance configurations. Understanding of data governance, privacy, security, and information lifecycle concepts. Strong analytical, documentation, communication, and stakeholder-management skills. Ability to lead complex technical workstreams and coordinate delivery with multiple application and platform teams. Demonstrated technical leadership across multidisciplinary teams. Preferred Qualifications: Microsoft Purview implementation experience in a large global enterprise. Experience with Microsoft Entra ID and Azure security. Experience with PowerShell, APIs, scripting, and configuration automation. Experience with enterprise data catalogs, metadata management, lineage, and governance. Experience with DLP, sensitivity labels, retention policies, eDiscovery, Insider Risk Management, and Data Security Posture Management. Knowledge of cybersecurity frameworks and regulatory or compliance requirements relevant to large enterprises. Experience securing data used by generative AI, Microsoft 365 Copilot, retrieval-augmented generation applications, or enterprise AI agents. Relevant Microsoft security, compliance, Azure, or data certifications. Preferred Certifications: Microsoft Certified: Fabric Analytics Engineer Associate. Microsoft Certified: Information Security Administrator Associate. Microsoft Azure certification. CISSP, CCSP, or CISM. Key Competencies: Microsoft Fabric. Data Security & Information Protection. Data Loss Prevention. Data Governance & Catalog. Sensitivity Labeling & Classification. Data Security Posture Management. Microsoft 365 Security & Compliance. Azure Data & Cloud Security. eDiscovery & Information Lifecycle. AI & Copilot Data Security. Automation & Engineering. Technical Leadership. Cross-functional Collaboration. Microsoft Purview Engineering. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title: Software Engineering - Java J2EE Location: Columbus, OH - Full-time in-office schedule, 8:30 AM to 4:30 PM. On-call rotation every 8 weeks from 9:00 AM to 9:00 PM. Occasional evening production deployment support. Duration: Contract - 6 months Pay Range: $50/hr - $52/hr (W2) Interview process: One panel round with live coding, preferred in person. About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer with Java, Spring Boot, Microservices, Kafka, and AWS expertise to join our dynamic team. The ideal candidate will have strong experience in building secure, scalable services and event-driven systems and a proven ability to deliver high-quality production code, troubleshoot complex issues, and improve system resiliency. Responsibilities: Execute software solutions across design, development, and technical troubleshooting while thinking beyond conventional approaches to solve problems. Create secure, high-quality production code and maintain algorithms that run synchronously with integrated systems. Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, validating outputs with peer review, automated testing, and secure coding standards, and share reusable patterns with the team. Apply SDLC toolchain knowledge, including AI-assisted development and automation capabilities, to increase value from automation. Produce architecture and design artifacts for complex applications and ensure software meets design constraints. Gather, analyze, and synthesize data to develop visualizations and reporting that drive continuous improvement of applications and systems. Proactively identify hidden problems and patterns to improve coding hygiene and system architecture. Required Skills & Qualifications: 5+ years of hands-on software engineering experience with formal training or certification in software engineering concepts. Proficiency in Core Java, Spring Boot, Microservices, Kafka, and AWS. Practical experience in system design, application development, testing, and operational stability in large corporate environments. Experience with database querying languages and modern programming languages in production settings. Hands-on use of enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation, with ability to validate outputs for correctness, performance, and security. Understanding of responsible AI practices, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations, with ability to guide peers. Solid knowledge of the Software Development Life Cycle, Agile methodologies, CI/CD, application resiliency, and security. Experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development and coach teams on adoption. Preferred Skills: Experience creating scalable microservices with Java, Spring Boot, and Kafka within financial services, using CI/CD toolsets such as GIT, Maven, Jenkins, SonarQube, Junit, and Mockito. Experience with AWS services including ECS, VPC, S3, IAM, Lambda, Aurora Postgres, Route53, ELB, and API Gateway, plus Terraform for Infrastructure as Code and cloud-native practices. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Pay Range: $46.00hr - $51.00hr Job Overview: An L3 GCP Network Engineer is a senior engineer responsible for designing, implementing, and optimizing complex network architectures on GCP, and acting as the final escalation point for critical issues. Key Responsibilities: Design and architect secure, highly available, and scalable GCP network topologies including multi-VPC, hub-and-spoke, Shared VPC, hybrid, and multi-cloud connectivity. Lead implementation of advanced networking including Cloud Interconnect, Cloud VPN topologies, global and regional load balancing, Cloud Armor policies, Private Service Connect, VPC peering, and custom route designs. Own end-to-end network security posture in GCP in partnership with security teams, covering firewall strategies, segmentation, zero-trust patterns, DDoS protection, perimeter, and egress controls. Serve as L3 escalation for complex production incidents, performing deep packet, routing, and performance analysis, while driving root cause analysis and long-term fixes. Define standards, patterns, and best practices for GCP network designs, address planning, naming, tagging, and connectivity models. Drive automation and Infrastructure as Code for networking using Terraform, Deployment Manager, CI/CD for network changes, and policy-as-code. Mentor L1/L2 engineers, review designs and changes, and provide training on GCP networking. Work with architects and stakeholders to align network designs with business, security, and compliance requirements, such as data residency and regulatory constraints. Evaluate new GCP networking features and third-party solutions, build Proofs of Concept (PoCs), and create adoption roadmaps. Typical Requirements: 5 8+ years of network engineering with strong experience across routing, switching, firewalls, and large-scale networks, along with substantial hands-on GCP networking. Deep knowledge of routing protocols and enterprise networking concepts, including BGP, OSPF/IGP, VRFs, MPLS or SD-WAN concepts, VPN, QoS, and high availability. Proven experience designing and operating production GCP networks or equivalent cloud systems at scale, including hybrid connectivity and multi-region architectures. Strong experience with automation and Infrastructure as Code (IaC) tools such as Terraform, Ansible, and pipelines for network deployments. Certifications strongly preferred: Google Professional Cloud Network Engineer, Professional Cloud Architect, CCNP/CCIE, or equivalent senior networking credentials. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Title: Sr. MS 365 Systems Engineer / Architect Location: Hybrid / Irvine, CA Ekman Associates is a management consulting firm that specializes in developing business, digital, and technology strategy, delivering solutions, and addressing human resource demands. Summary: We are seeking a senior-level Microsoft 365 Systems Engineer / Architect. In this role, you will act as the principal technical authority for our cloud infrastructure, driving advanced optimization, security remediation, and operational governance across our entire cloud-native Microsoft 365 ecosystem. The ideal candidate is an expert in cloud architecture who can evaluate our existing tenant, enforce zero-trust security controls, optimize modern device management via Intune, and implement thorough compliance policies. Responsibilities: Cloud Identity & Access Governance Audit and optimize the core Microsoft Entra ID configuration, reinforcing enterprise best practices for cloud-only identity structures. Architect and implement robust Conditional Access Policies (CAPs), deploy phishing-resistant Multi-Factor Authentication (MFA), and configure Entra ID Protection policies. Standardize global administrative roles using Privileged Identity Management (PIM) and configure secure external collaboration settings. Endpoint Management & Cloud Deployment Design and deploy enterprise configuration, compliance, and application protection profiles within Microsoft Intune across Windows, macOS, and mobile operating systems. Streamline hardware provisioning infrastructure using cloud-native deployment methods including Windows Autopilot and Apple Business Manager. Set up automated patch management via Windows Update for Business and establish standardized security baselines. Collaboration, Messaging & Content Compliance Review and maximize the performance, structural organization, and sharing configurations of Exchange Online, SharePoint Online, and Microsoft Teams. Configure Microsoft Purview Data Loss Prevention (DLP) rules, sensitivity labels, and retention schedules to safeguard intellectual property. Enforce robust tenant governance models including Microsoft Teams lifecycle automation, guest access reviews, and application permission policies. Security Engineering & Documentation Systematically remediate tenant vulnerabilities to improve the organization's overall Microsoft Secure Score and security posture. Configure comprehensive audit logs, alert notifications, and diagnostic data integrations with core security monitoring systems. Author technical as-built architecture manuals, governance charters, and clear operational runbooks to ensure an effective handover to internal IT personnel at project conclusion. Qualifications: Experience Profile: Minimum 8+ years of enterprise systems engineering experience, with at least 5+ years dedicated strictly to cloud-native Microsoft 365 infrastructure and architecture design. Cloud-Only Specialization: Proven mastery managing pure cloud environments with zero hybrid constraints (no local Active Directory, no hybrid Exchange servers, and no write-back dependencies). Identity & Access Management: Expert-level knowledge of Microsoft Entra ID governance, Conditional Access design parameters, and identity boundary security. Unified Endpoint Management: Extensive experience engineering worldwide device fleets using Microsoft Intune, provisioning workflows, and custom app deployments. Information Governance: Direct hands-on proficiency executing data protection policies via Microsoft Purview, records management, and discovery engines. Automation Engineering: Strong PowerShell scripting skills utilizing the native Microsoft Graph SDK and modern API endpoints to automate tenant configuration management. Preferred Certifications Microsoft Certified: Microsoft 365 Enterprise Administrator Expert MCSA, MCSE Qualified Candidates Only : If you wish to learn more about this opportunity and additional qualifications/responsibilities, please submit your resume. To learn more about Ekman Associates, Inc. please visit our website at .

Job Title: Senior / Principal Solution Architect - Contact Center Duration: Long term Job Type: C2C/W2/1099 Location: Remote Primary Skills: NICE CXone, Amazon Connect (AWS), Siera Role Overview We are looking for an experienced End-to-End Contact Center Solution Architect with deep expertise in NICE CXone, Siera and Amazon Connect to lead enterprise contact center transformation initiatives. The architect will be responsible for solution discovery, architecture, design, integration, implementation, migration, and deployment of cloud-based omnichannel contact center platforms. The ideal candidate must have strong hands-on architecture experience, particularly integrating contact center platforms with Salesforce Service Cloud, enterprise applications, and AI-powered customer service solutions. Hiring Preference: Candidates with expertise across NICE CXone, Siera, Amazon Connect, Salesforce Service Cloud, and AI-enabled contact center transformation will be prioritized. Key Responsibilities Own end-to-end solution architecture for NICE CXone and Amazon Connect implementations, modernization, and migration programs. Design enterprise contact center capabilities, including IVR, ACD, CTI, omnichannel routing, inbound/outbound calling, and digital engagement. Architect Salesforce Service Cloud integrations, including agent desktop, screen pops, customer 360, case management, and workflow automation. Design conversational AI, virtual agents, intelligent routing, agent assist, real-time transcription, call summarization, and sentiment analysis solutions. Define integration architecture using AWS Lambda, Lex, Bedrock, API Gateway, REST APIs, and event-driven services. Lead legacy contact center migrations, telephony integrations, data migration, testing, cutover, and production deployment. Develop high-level and low-level architecture, integration specifications, solution estimates, and implementation roadmaps. Ensure security, scalability, high availability, disaster recovery, performance, and regulatory compliance. Provide technical leadership to engineering teams and collaborate with business stakeholders, enterprise architects, and client leadership. Required Technical Skills NICE CXone / Siera: ACD, Studio, IVR, digital channels, skills-based routing, APIs, recording, analytics, and workforce engagement management. Amazon Connect: Contact flows, routing profiles, queues, CCP, Contact Lens, Amazon Lex, and AWS Lambda. Salesforce: Service Cloud, CTI integration, Salesforce Voice capabilities, Omni-Channel, and Agentforce. AWS: Lambda, Bedrock, API Gateway, S3, IAM, CloudWatch, EventBridge, and serverless architecture. Telephony: SIP, PSTN, SBC, carrier connectivity, call recording, and voice infrastructure. Integration: REST APIs, webhooks, middleware, event-driven integration, and enterprise application connectivity. Architecture: Cloud-native architecture, HLD/LLD, security, scalability, observability, and HA/DR. Preferred Qualifications Proven experience architecting at least two enterprise-scale contact center implementations. Strong hands-on experience in NICE CXone or Amazon Connect, preferably both platforms. Experience integrating Salesforce Service Cloud with enterprise contact center platforms. Knowledge of GenAI, conversational AI, agentic workflows, and contact center automation. AWS Solutions Architect and/or NICE CXone certifications preferred. Strong client-facing communication, solution estimation, technical leadership, and stakeholder management skills. Mandatory Candidate Screening Criteria Must have independently owned end-to-end contact center solution architecture, not just development or configuration. Must demonstrate deep architectural expertise in NICE CXone or Amazon Connect, with exposure to both preferred. Must have experience with Salesforce Service Cloud / CTI integration. Must have delivered at least two production contact center implementations or migrations. Must be capable of leading architecture discussions, technical estimations, and solution design with enterprise clients.

Pay Range: $50.00hr - $55.00hr Job Overview: There is a strategic opportunity within EDAO to build and implement AI-assisted engineering capabilities across 31 production dbt projects in the Marketing Analytics portfolio. The initiative will integrate GitHub Copilot with dbt, Snowflake, GitLab, Jira, Confluence, dbt Cloud, and CTM workflows to accelerate delivery while maintaining governance and human oversight. Key Responsibilities: Design and build reusable AI skills, prompts, agents, and instruction files for dbt and data engineering workflows. Develop AI capabilities for Jira story intake, impact analysis, technical design, dbt model generation, testing, and code review. Build automation for CTM configuration validation, dependency sequencing, scheduling alignment, and deployment-readiness checks. Develop deployment skills covering GitLab merge requests, CI/CD pipelines, dbt Cloud execution, release runbooks, and change evidence. Build automated regression-testing and data-reconciliation capabilities across development, pre-production, and production environments. Apply strong hands-on knowledge of dbt models, macros, materializations, incremental strategies, tests, documentation, lineage, and dbt Fusion. Use Snowflake metadata, dbt manifests, GitLab repositories, and lineage information to identify upstream and downstream change impacts. Develop Python-based automation for API integration, metadata processing, validation, structured outputs, and workflow orchestration. Create reusable engineering standards for SQL, dbt, testing, data modeling, error handling, observability, and repository structure. Build AI-assisted support for pipeline monitoring, data freshness, anomaly analysis, defect investigation, and production reconciliation. Integrate AI-assisted workflows with GitHub Copilot, Jira, Confluence, GitLab, Snowflake, dbt Cloud, CTM, and approved MCP servers. Create golden datasets and evaluation scenarios to measure AI-draft acceptance, accuracy, rework, test coverage, and edge-case handling. Review AI-generated artifacts for business-logic accuracy, maintainability, security, performance, and compliance with project standards. Support pilot implementation, developer enablement, troubleshooting, and scaled adoption across the dbt project estate. Collaborate with developers, technical leads, architects, QA teams, platform teams, and deployment stakeholders throughout the lifecycle. Skill Requirements: Skill set: DBT, Snowflake, Python, and AI. Other Requirements: The selected candidate will contribute to AI-driven engineering solutions covering requirements analysis, impact assessment, development, automated testing, deployment orchestration, reconciliation, and production support. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title : Senior Salesforce Developer - Technical Architect Position Overview Drive the technical design and hands-on development of scalable Salesforce solutions supporting complex business processes in the healthcare domain. This role combines senior-level Salesforce engineering with technical architecture, enterprise integrations, platform optimization, and technical leadership. You will work across Sales Cloud and Service Cloud, develop secure and high-performing solutions, establish engineering standards, and collaborate with business stakeholders and technical teams to deliver reliable Salesforce capabilities. What You'll Do / Key Responsibilities Solution Design and Architecture: Translate complex business requirements into robust technical designs, scalable data models, system architectures, and sharing models aligned with Salesforce best practices. Hands-on Development: Lead technical implementation using Apex classes, triggers, controllers, Async Apex, Lightning Web Components (LWC), and Salesforce Flows. System Integration: Design and build secure, high-performance REST/SOAP APIs and middleware integrations connecting Salesforce with external platforms, electronic health records (EHR), and internal systems. Technical Leadership: Provide technical guidance, conduct code reviews, establish coding standards, and mentor junior developers. Performance, Security, and Compliance: Optimize Salesforce governor-limit usage, support performance under bulk loads, maintain platform security, and align solutions with healthcare compliance standards, including HIPAA. Technical Documentation: Develop and maintain architecture diagrams, data dictionaries, integration contracts, and deployment runbooks. Release Management: Manage releases using Salesforce DX and Git-based version control. Evaluate Salesforce releases to identify opportunities for innovation and areas requiring refactoring. Stakeholder Collaboration: Work with healthcare business stakeholders, product managers, and cross-functional technical teams to clarify requirements, manage technical debt, and support successful product delivery. Required Qualifications Minimum 7+ years of deep technical experience across the Salesforce ecosystem. Proven implementation expertise in Salesforce Sales Cloud and Service Cloud. Expert-level proficiency in Apex, Lightning Web Components (LWC), Visualforce, SOQL, SOSL, and the Salesforce programmatic framework. Prior experience engineering Salesforce solutions in the healthcare domain, with a strong understanding of patient care workflows, medical data structures, and regulatory and privacy requirements. Strong architectural capabilities, including complex data modeling, Salesforce platform boundaries and governor limits, and enterprise integration patterns. Experience with Agile/Scrum methodologies, modern CI/CD deployment pipelines, Git, and automated testing frameworks. Strong troubleshooting and diagnostic skills involving complex code, asynchronous processing, and integration failures. Excellent interpersonal and communication skills, including the ability to present technical solutions to non-technical stakeholders and business leadership. Preferred Qualifications Exposure to Salesforce Marketing Cloud. Salesforce Certified Platform Developer I and II. Salesforce Certified Application Architect or certifications within the System Architect track. Salesforce Certified Sales Cloud Consultant. Salesforce Certified Service Cloud Consultant. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. PAY TRANSPARENCY TAGLINE: For information on the compensation range and an overview of benefits offered by HTC Global Services, please email . Salary, other compensation, and benefits information shared by HTC are accurate as of the date provided. The disclosed range may vary based on factors such as geographic location, education, relevant experience, certifications, skills, role fit, organizational needs & other factors as applicable. HTC Global Services reserves the right to modify ranges in accordance with governmental, state, and local requirements.

Pay Range: $47.00hr - $52.00hr Job Overview: An experienced Network Engineer specializing in Network Tooling, Automation, and Observability is required to support the continued development and modernization of network engineering capabilities. The role will focus on the engineering, administration, integration, and automation of network management and observability platforms, including ThousandEyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow. The engineer will work across network engineering and platform capabilities to improve network observability, telemetry, automation, data quality, and operational insight. A key part of the engagement involves developing integrations between network platforms using Python, scripting, and APIs, as well as applying modern NetDevOps and software delivery practices to network engineering. The role will also support the evolution of data-driven network operations and AIOps by using network telemetry and operational data to improve visibility, proactively identify issues, correlate events, and enable automated remediation. Key Responsibilities: Engineer, operate, maintain, integrate, and enhance network tooling platforms including ThousandEyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow. Develop integrations between network platforms, devices, and supporting platforms, management tooling, and network services using REST APIs, Python, and scripting. Develop and enhance network observability capabilities using monitoring, telemetry, performance, and operational data. Design and implement network configuration automation and repeatable engineering workflows. Develop reusable scripts, tooling, and automation to reduce manual engineering activity and improve consistency. Apply NetDevOps and modern software delivery practices, including source control, versioning, testing, and CI/CD principles, to network engineering. Extract, transform, and analyze data from network platforms and APIs to provide actionable engineering and operational insights. Identify opportunities to apply AI and AIOps techniques to network operations, including event correlation, anomaly identification, automation, and onboarding or integrating AI Agents, Agent Skills, and Agent Workflows to deliver AIOps. Integrate network tooling with operational workflows, including ServiceNow, to improve incident, event, and configuration processes. Troubleshoot complex issues spanning network infrastructure, tooling, APIs, integrations, automation, and data. Work with network engineering, architecture, operations, and platform teams to translate requirements into scalable engineering solutions. Produce and maintain technical documentation, integration designs, automation standards, and operational guidance. Contribute to engineering standards and reusable automation patterns across the Network Engineering function. Required Skills & Experience: Strong Network Engineering background with a solid understanding of enterprise LAN/WAN, routing, IP networking, DNS, DHCP, and network management concepts. Strong hands-on Python and scripting experience, with evidence of developing network automation, tooling, or integration solutions rather than simply executing existing scripts. Strong API and systems integration experience, particularly REST APIs and integration between network management or enterprise platforms. Strong experience with network monitoring, management, and observability within complex enterprise environments. Hands-on experience with one or more of the following platforms, with the ability to work across and integrate a broader network tooling ecosystem: ThousandEyes, SolarWinds, Infoblox DDI, NetBrain, ServiceNow, Cisco Meraki, Cisco Catalyst Center, Cisco ISE. Experience developing network configuration automation and repeatable automated engineering workflows. Understanding of NetDevOps principles, including Git/source control, CI/CD, testing, and software engineering practices applied to network infrastructure. Experience working with network telemetry, operational data, APIs, and analytics to derive meaningful engineering and operational insights. Understanding of data engineering concepts, including the collection, transformation, normalization, and analysis of data from multiple systems. Understanding of AI/AIOps concepts and how they can be applied to network monitoring, observability, event management, and operational automation. Ability to troubleshoot across network, software, API, data, and tooling layers, rather than focusing solely on individual platforms. Experience working within large-scale, complex enterprise network environments. Strong communication skills and the ability to work effectively with network engineers, software/platform engineers, architects, and operational teams. Desirable Skills & Experience: Advanced experience administering and integrating ThousandEyes, SolarWinds, Infoblox DDI, and/or NetBrain. Experience developing integrations with ServiceNow, particularly across network events, incident, or configuration workflows. Experience with infrastructure/network-as-code and automation frameworks. Experience developing CI/CD pipelines for network configuration, automation, or tooling. Experience working with structured network data, telemetry, data engineering, analytics, or visualization. Practical experience applying AI/ML or AIOps capabilities within network operations or observability. Experience with cloud networking, APIs, and modern cloud-native tooling. Experience with Git-based collaborative development and code review. Desirable Certifications: Cisco CCNP / CCIE. Cisco DevNet/Automation Professional or Expert, or equivalent automation/software development certification. Infoblox certifications. SolarWinds or ThousandEyes platform certifications. ServiceNow technical certifications. Relevant Python, DevOps, cloud, or automation certifications. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.