285 jobs found

Society Insurance Company seeks a Data Architect to lead enterprise data design within our Insurance IT & Data Management team. You'll define data models, standards, and governance to support underwriting, claims, and analytics for niche hospitality and contractor clients. Partner with developers, analysts, and business leaders to design modern data platforms, integrate core policy/claims systems, and enable BI, reporting, and advanced analytics. Thrive in a collaborative, relationship driven culture focused on integrity, local communities, and tailored risk management solutions. Responsibilities Design and maintain enterprise data models and logical/physical database schemas for core insurance systems Define and enforce data architecture standards, patterns, and best practices across the organization Collaborate with underwriting, claims, and finance to translate business needs into scalable data solutions Architect and oversee data integration between policy, billing, claims, CRM, and external data providers Partner with data engineers to design ETL/ELT pipelines and modern data platforms (e.g., data warehouse/lake) Ensure data quality, integrity, security, and compliance with regulatory and corporate policies Support BI and analytics teams with well-structured data sets for reporting and advanced analytics Evaluate and recommend data technologies, tools, and platforms aligned to business and IT strategy Document data models, data flows, and metadata standards for cross-functional stakeholders Mentor team members on data modeling, architecture principles, and best practices Required Skills Data modeling (conceptual, logical, physical) Relational databases (SQL Server, Oracle, or similar) SQL and performance tuning Data warehousing and dimensional modeling (Kimball/Inmon) ETL/ELT tools and data pipeline design Data governance and data quality management Cloud data platforms (AWS, Azure, or GCP) Insurance or financial services domain knowledge Metadata management and data cataloging Data security, privacy, and compliance practices

Delta Defense seeks a Data Engineer to build and optimize data pipelines powering analytics for USCCA's membership, marketing, and customer care operations. You'll design and maintain scalable ETL processes, integrate data from digital platforms and business systems, and ensure accuracy, security, and usability of datasets for analysts and business stakeholders. Partner closely with analytics, marketing, and operations teams to deliver reliable data models, dashboards, and reporting that support performance, member engagement, and mission-driven decision making in a fast-growing, learning-focused culture. Responsibilities Design, build, and maintain scalable ETL/data pipelines from diverse internal and external sources. Develop and optimize data models and warehouse structures to support analytics and reporting needs. Ensure data quality, consistency, and governance across member, marketing, and operations datasets. Collaborate with analytics, marketing, and operations teams to understand requirements and deliver data solutions. Build and maintain data integrations and APIs feeding dashboards, reports, and self-service tools. Monitor pipeline performance, troubleshoot issues, and implement improvements for reliability and scale. Implement security and privacy best practices for sensitive member and business data. Document data flows, schemas, and processes to support transparency and continuous learning. Required Skills SQLPython ETL pipeline development Data warehousing (e.g., Snowflake/Redshift/Big Query) Cloud platforms (AWS/Azure/GCP) Data modeling (star/snowflake schemas) Dashboarding/BI tools (e.g., Power BI/Tableau/Looker) Version control (Git) Data quality and validation API and batch data integration

Sager Electronics seeks an eCommerce Platform Specialist within our Information Technology (IT) & Digital Solutions department. In this role, you will own the configuration, optimization, and day to day management of our B2B eCommerce platform to drive online revenue and enhance the customer experience. Partnering with Sales Engineering, marketing, and IT, you will implement new features, integrate back office systems, and support digital sales initiatives. Sager fosters a dynamic, collaborative culture focused on innovation, operational excellence, and continuous improvement across our commercial and military markets. Responsibilities Administer and optimize the company's B2 B e Commerce platform to improve usability and conversion. Configure products, pricing, and digital catalogs in coordination with Sales, Marketing, and Product teams. Collaborate with IT to integrate the platform with ERP, CRM, and other back office systems. Monitor site performance, uptime, and security; coordinate issue resolution with internal teams and vendors. Analyze site analytics and user behavior to propose data driven enhancements. Manage release cycles, testing, and deployment of new features and integrations. Support digital sales initiatives, promotions, and customer self service capabilities. Create and maintain documentation, workflows, and configuration standards. Ensure platform supports requirements of both commercial and military sector customers. Stay current on e Commerce and digital best practices and recommend innovations. Required Skills e Commerce platform administration (e.g., Magento, Shopify Plus, Salesforce Commerce Cloud) Web technologies (HTML, CSS, basic Java Script) API-based integrations and web services (REST/SOAP) ERP and CRM integration concepts Site analytics tools (e.g., Google Analytics, Adobe Analytics) Data management for product information and digital catalogs User acceptance testing and release management Basic SEO and on site search optimization Requirements gathering and technical documentation Information security and performance monitoring for web applications

Staffing Pros, a division of VETS Inc., is recruiting for a full-time DevOps Engineer. We are seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact on the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible. Key Responsibilities: DevOps: Design, deploy, and operate Azure infrastructure using IaC (Bicep/Terraform) for repeatable, scalable environments. Build and maintain Azure Pipelines to automate provisioning of VMs, Key Vault, networking, and platform services. Enforce GitOps-based baselines for versioned, traceable, consistent configuration across environments. Create and maintain golden image pipelines using Packer (images-as-code) to support enterprise workloads. Ensure security compliance (CMKs, encryption, approved baselines) and integrate IAM via AD/Entra ID (federation/SSO such as Keycloak). Security & Compliance: Operate and maintain secure enterprise environments in alignment with DoD security standards, utilizing vulnerability management tools such as Nessus Security Center. Ensure all virtual machines and platform resources are properly configured to send telemetry and logs to a centralized Azure Log Analytics workspace. Perform enterprise-scale patching and update management using WSUS or equivalent update management solutions. Participate in change management and review boards, supporting boundary changes and ensuring compliance with enterprise governance processes. Customer Onboarding & Operations: Tailor infrastructure parameter templates to customer workload and hardware requirements. Deploy Azure infrastructure via established CI/CD pipelines into enterprise environments. Document customer configurations and operational details in Confluence. Coordinate with onsite and remote teams to validate configurations and ensure handoff readiness. Provide Tier 1 operational support, including automated baseline desktop and software installs (DSC, Packer). Automation & Container Enablement: Develop and maintain automation solutions using Bicep and/or Terraform to minimize manual intervention and improve deployment reliability. Support container image movement and lifecycle management using tools such as Skopeo, Crane, and Podman, ensuring secure and repeatable container workflows. Architect and develop, automate, deploy and manage AKS based applications to support developers Qualifications: Security+ Certification is required Experience working in a classified Azure Region or delivering software into an AirGapped network Experience deploying Microsoft infrastructure using Terraform or Bicep Bachelors degree in computer science, Engineering, or related Field AND 3+ years leadership experience in relevant area of business OR equivalent experience 8+ years demonstrated performance in related technology Requirements: Must be within driving distance of Beavercreek, OH OR willing to relocate there (relocation packages available) Must be willing to work onsite Must possess an active TS/ SCI clearance or above Please note that pursuant to a government contract, this specific position requires U.S. citizenship status EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.

Job Title : Network Telephony Engineer Location: Columbia SC onsite Duration: Long term Job Type : Contract (We can consider - W2) REQUIRED SKILLS (RANK IN ORDER OF IMPORTANCE): 2+ years of experience with Avaya on premise PBX systems 2+ years of experience administering VoIP and unified communications platforms. 2+ years of experience with SIP, RTP, QoS, dial plans, call routing, and voice gateway technologies. 2+ years of experience troubleshooting voice quality, call routing, carrier connectivity, and E911 services. 2+ years of experience with telecommunications infrastructure, including voice circuits, session border controllers (SBCs), and PSTN integration. PREFERRED SKILLS (RANK IN ORDER OF IMPORTANCE): Experience designing, implementing,and supporting enterprise cloud-based telephony solutions, including migration from on-premises telephony platforms to cloud-based services. REQUIRED EDUCATION/CERTIFICATIONS: Bachelors degree or equivalent work experience.

Staffing Pros, a division of VETS Inc., is recruiting for a full-time Microsoft Security Engineer based on-site at the Beltsville, MD office, with occasional travel to the Washington, DC office. This candidate needs to have handson experience in Data Loss Prevention (DLP) and the Microsoft Security ecosystem, including Microsoft Purview. This role supports the protection of sensitive government and enterprise data across cloud, endpoint, and database environments, with a strong focus on compliance, governance, and risk reduction. Responsibilities: Design, implement, and maintain DLP policies within Microsoft 365 and related security services. Configure and manage Microsoft Purview capabilities, including: DLP policies Sensitivity labels and information protection Data classification and governance controls Protect sensitive data across structured data sources, including SQL databases and data platforms. Partner with database, cloud, and application teams to ensure sensitive data is properly classified, monitored, and protected. Monitor DLP alerts, investigate incidents, and support response and remediation efforts. Support security compliance and audit activities aligned with federal and organizational requirements. Create and maintain security documentation, procedures, and standards. Operate in accordance with security best practices for cleared environments. Required Qualifications: 5+ years of hands-on experience with Data Loss Prevention (DLP) technologies and the Microsoft Security ecosystem. Must have a Secret clearance with the ability to obtain a Top-Secret clearance is required. Must be able to commute to Beltsville, MD and occasionally to Washington, DC for full-time onsite work. Must have a security background combined with data and database familiarity (e.g., SQL) and experience operating in a federal environment. Experience working within the Microsoft Security stack, including Microsoft 365 security features. Familiarity with Microsoft Purview, particularly for DLP, data classification, or information protection. Experience or working knowledge of SQL or database environments, especially as it relates to data security and governance. Understanding of data protection principles, sensitive data types, and access controls. Strong analytical, documentation, and troubleshooting skills. US Citizenship is required. Preferred Qualifications: Experience implementing DLP or Purview controls in government or cleared environments. Background in database administration, data management, or data engineering with a security focus. Familiarity with security or compliance frameworks (e.g., NIST). Microsoft security certifications (SC400, SC200, Azure Security), preferred but not required. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.

Why Join Digital Products at Penske Most people know Penske for our big yellow trucks. But we're so much more than that. At Penske we have a 50-plus year history of leading the transportation and supply-chain industry, delivering world-class and award-winning technology solutions. What most people don't know, we are just as much a data company as we are a transportation and supply chain company. We collect and analyze billions of datapoints each year, through over 300+ advanced analytical models and integrate insights from our fleet, maintenance operations, and logistics networks to give customers a more complete view of their supply chains. That connected intelligence allows us to anticipate issues, optimize resources, and deliver reliable outcomes across transportation and logistics for our customers. Penske continues to invest in, and grow, our digital products - and we need talent at all levels to help us advance and continue to lead our industry. While data is very important, the key to our success is our people. You'll work alongside great people and on really cool projects. Ultimately, you'll help develop and ensure our technology solutions keep our company and our customers moving forward. Position Summary: As a Penske QA Automation Test Engineer, you will play a critical role in ensuring the quality, reliability, and performance of digital products in a modern SaaS and product-driven environment. This role is embedded within an Agile product team and is responsible for building and maintaining automated testing solutions that enable continuous delivery and high system uptime. Working closely with Product Managers, Software Engineers, and other quality engineers, you will contribute to both product discovery and delivery by ensuring quality is built into the development process-not tested at the end. You will help drive a shift-left testing approach, enabling faster feedback, improved customer experiences, and scalable, high-performing digital solutions. This position is based out of our corporate offices in Reading. PA. This an office first position, at least 4 days in office. Key Responsibilities: Quality Engineering & Automation - Design, develop, and maintain automated test frameworks and scripts across UI, API, and integration layers - Ensure comprehensive test coverage for new features and enhancements in web, mobile, and platform environments - Continuously improve automation strategies to increase speed, reliability, and scalability of testing Agile Product Team Collaboration - Act as a core member of an Agile product team, partnering with Product Managers and Engineers to define acceptance criteria and quality standards - Participate in sprint planning, backlog refinement, daily stand-ups, and retrospectives with a focus on quality outcomes - Contribute to early-stage design and development discussions to proactively identify risks and improve testability Continuous Testing & CI/CD Integration - Integrate automated tests into CI/CD pipelines to support continuous integration and deployment - Enable rapid feedback loops by ensuring tests run efficiently and reliably across environments - Support release readiness by validating system stability, performance, and scalability Defect Prevention & Root Cause Analysis - Analyze defects to identify root causes and partner with engineering teams to implement long-term solutions - Advocate for preventative quality practices to reduce recurring issues and improve system stability - Ensure defects are well-documented, prioritized, and resolved efficiently Data, Performance & Reliability Focus - Create and manage test data to support automated and performance testing scenarios - Validate system performance, reliability, and uptime in alignment with SaaS expectations - Partner with teams to identify and mitigate risks related to scalability and system performance Continuous Improvement & Best Practices - Contribute to the evolution of QA and automation standards, tools, and frameworks - Stay current with emerging testing tools, frameworks, and industry best practices - Promote a culture of quality, accountability, and continuous improvement across teams Technical Execution & Support - Debug and troubleshoot complex test automation issues - Maintain clear and reusable documentation for test frameworks and scripts - Collaborate with senior engineers and architects to improve system design and testability Qualifications: - Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience - 4+ years of experience in QA automation, software quality engineering, or SDET roles within digital, SaaS, or platform-based environments - Strong experience designing, developing, and maintaining automated test frameworks across UI, API, and integration layers - Proficiency in at least one programming language used for test automation (e.g., Java, JavaScript, Python) - Experience with modern test automation tools and frameworks (e.g., Selenium, Cypress, Playwright, REST Assured, or similar) - Hands-on experience integrating automated testing into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps) to support continuous delivery - Solid understanding of Agile development practices and experience working within cross-functional product teams - Demonstrated ability to apply a shift-left testing approach, contributing to quality early in the development lifecycle - Experience partnering with Product Managers and Engineers to define acceptance criteria and ensure testability of features - Strong understanding of quality as a shared responsibility within a modern Product Operating Model - Experience testing APIs, microservices, and distributed systems, including integrations and data flows - Familiarity with cloud-based architectures and SaaS platforms, with an understanding of scalability, reliability, and uptime considerations - Strong troubleshooting and root cause analysis skills, with the ability to drive long-term solutions and continuous improvement - Excellent collaboration and communication skills, with the ability to influence across engineering, product, and platform teams - Experience with performance or load testing tools, containerized environments (e.g., Docker, Kubernetes), or test data management practices is a plus - Regular, predictable, full attendance is an essential function of the job - Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. To Learn More - About Penske's Digital Products: - About Penske: About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Family: Information Technology Address: 100 Gundy Drive Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID:

Overview Bowhead seeks a Senior Network Engineer to support our customer on the PICRD II contract in Colorado Springs, CO. Responsibilities • Contribute to planning, assessment, risk analysis, risk management, certification, and awareness activities for system and networking operations. • Provide engineering and implementation solutions, assisting with HQ USSPACECOM communications and computer requirement documents. • Support examining mission requirements and assist in developing technical requirements for multi-level classification networks and releasable classification levels. • Interact with customers/users to develop and review communication system requirements. • Compare potential needs with existing infrastructure, identify shortfalls/excesses, integrate communication systems for interoperability. • Perform risk assessments, cybersecurity engineering, technical security assessments, and recommend solutions. • Meet with customers/users regularly to understand their needs and educate them on communication systems and the procurement process. • Participate in planning forums, briefings, conferences, and meetings for internal and external resource updates. Perform systems architecture, design, planning, and integration. • Other duties as assigned. Qualifications • BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science from an ABET accredited or CAE designated institution fulfills the educational requirement. • Minimum of six (6) years of technical experience performing the duties described. • Meets the Core and Additional Knowledge, Skills, and Abilities Tasks (KSATs) defined in the DoD Cyber Workforce Framework for Work Role 651 (NIST: SP-ARC-001). • Experience maintaining security, backup, and redundancy strategies in accordance with government and accreditation standards. • Experience with operating systems such as, Solaris, Linux, Windows operating systems (OS) and servers, VMware (various versions) as well as several versions of the Mac operating systems. • Experience with configuration, installation, vulnerability identification and assessments, and security fortification of the fiber and ethernet networks. • Experience developing and maintaining Communication and Information Systems Installation Records (CSIRs), Preventive Maintenance Inspection (PMI) reports, schematic operational, systems, and technical architecture drawings, interface drawings between systems, connectivity drawings of equipment to various LANs and current configuration modifications IAW requirements derived from communication requirements and system accreditation process. • Experience interacting with customers/users, develop and review communication system requirements, comparing potential needs with existing infrastructure, identifying shortfalls and excesses, integrating communication systems to achieve interoperability, and establishing continuity procedures and a reference library of pertinent policies, procedures, documents and architectures to properly plan future communication systems. • Experience developing and reviewing Communication Requirement/Technical Solutions (CR/TS). • Experience maintaining equipment operations through Preventative Maintenance Inspections (PMI) and repair schedules. Certification Requirements: • Required: CompTIA Sec+ and one of the following: FITSP-D, GIAC Defensible Security Architecture (GDSA), CASP+, CCSP, Cloud+, Certified Secure Software Lifecycle Professional (CSSLP), or GIAC GSEC. Must currently hold a Top Secret security clearance with SCI eligibility. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend and squat periodically Targeted salary range is $130,000 to $145,000 annually based on qualifications and experience. Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) We're looking for a Software Engineer to work with cutting-edge cloud technologies and make a real-world impact. If you're a collaborative developer with a strong foundation in Java and a passion for innovation, we'd love to hear from you. In this role, you'll join a team building and optimizing mission-critical cloud analytics platforms. You'll leverage modern big data and cloud infrastructures to solve complex data challenges, write efficient and scalable code, and implement distributed processing frameworks that deliver reliable, high-performance solutions. If you're a solution-oriented engineer who enjoys tackling technical challenges and working in a collaborative environment, this opportunity is for you. Required Skills Java Development: Strong hands-on experience building scalable, high-performance applications using modern Java frameworks. Big Data Processing: Deep technical knowledge and practical development experience with MapReduce frameworks. Cloud Development: Proven experience developing software within secure, complex cloud environments. Mission Platform Experience: Hands-on experience using the QTA platform or similar specialized data processing platforms. Preferred Skills Experience with additional distributed processing frameworks and cloud-native databases. Strong communication and collaboration skills with a team-first mindset and the ability to deliver clear, actionable technical solutions. A proactive approach to identifying system bottlenecks and contributing to architecture and performance improvements. Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP).

Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.

IMPORTANT: This role has been updated and retitled to Network Infrastructure Engineer please submit candidates with strong Cisco networking (OSPF/VLANs/CLI), VMware vCenter experience, enterprise wireless troubleshooting, and proven project ownership; desktop/VDI-focused profiles will not be a fit. JOB DESCRIPTION Job Type: Direct Hire Location: Central Houston, TX Pay Range: $80,000$100,000 (DOE) Schedule: Standard business hours; occasional flexibility for after-hours maintenance or urgent incidents Employment Model: Fully onsite at client location Job Summary We are seeking an Infrastructure Network Engineer to serve as a dedicated onsite resource supporting a single client location. This role is heavily networking-focused and responsible for day-to-day network operations, troubleshooting, documentation, and continuous improvement across a complex routed and switched environment. The engineer will also support adjacent infrastructure needs including VMware, backups, servers, and security coordination. The ideal candidate is a strong hands-on network engineer who enjoys being the go-to onsite resource. They can think through full systems, anticipate downstream impacts, communicate clearly with technical and non-technical stakeholders, and adapt quickly in a fast-changing environment. Key Responsibilities Serve as the primary onsite networking resource for operations, troubleshooting, validation, documentation, and improvement. Administer and troubleshoot routed and switched environments (OSPF, VLANs, subnetting, inter-VLAN routing, trunking, port channels, spanning tree, routing tables, Cisco CLI). Investigate performance, connectivity, segmentation, DNS/DHCP, firewall handoff, wireless, and user-impacting issues; identify root cause and coordinate remediation. Support VMware/vSphere/vCenter, VM networking, backups, recovery validation, servers, and security coordination. Own onsite triage, documentation, escalation, communication, and follow-up to ensure a high-quality client experience. Qualifications 5+ years of progressive networking, infrastructure, systems, or advanced field support experience in complex or multi-site environments. Advanced hands-on networking experience with OSPF, VLANs, subnetting, routed/switching environments, trunking, port channels, spanning tree, segmentation, and Cisco CLI. Strong troubleshooting skills and ability to interpret configurations, validate changes, and assess downstream impact. Experience with enterprise wireless troubleshooting (Aruba preferred). Experience with VMware/vSphere/vCenter, VM networking, backups, and recovery validation; ability to learn tools such as Cohesity. Strong communication, documentation, customer service and project management skills. Preferred Skills Storage technologies (SAN/NAS, iSCSI). VOIP experience (Cisco Voice, Teams Voice). Cloud administration or monitoring tools (Microsoft 365, Azure, SolarWinds). Certifications: CCNP strongly preferred; CCNA acceptable with deep enterprise experience. VMware experience or certifications (VCP).

Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Join a team developing advanced cybersecurity capabilities to solve complex technical challenges. In this role, you'll work at the intersection of software engineering, reverse engineering, vulnerability research, and cloud technologies. You'll analyze complex software systems, identify critical vulnerabilities, and develop cloud-native solutions that support advanced cyber operations. If you're passionate about understanding how software works at a low level, uncovering security flaws, and building impactful technical solutions, this opportunity offers the chance to work on challenging, mission-focused projects. Required Qualifications Strong software engineering experience with C, C++, Python, or Assembly. Hands-on experience with reverse engineering using tools such as Ghidra, IDA Pro, Binary Ninja, or GDB. Proven experience in vulnerability research, including identifying zero-day vulnerabilities, logic flaws, memory corruption issues, and other security weaknesses. Experience designing, developing, or deploying solutions in cloud-native environments such as AWS, Azure, GCP, or Kubernetes. Preferred Qualifications Experience supporting operational cybersecurity or incident response activities. Strong understanding of operating system internals (Windows, Linux, iOS, or Android), kernel-level debugging, and computer architecture. Experience with modern DevSecOps practices, including CI/CD pipelines, Docker, containerization, and automated testing frameworks.

Role Summary Our client, a rapidly growing AI infrastructure company, is seeking multiple AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI solutions for enterprise customers. This is a customer-facing, hands-on engineering role that combines deep technical expertise with solution architecture and client engagement. You will partner closely with enterprise organizations to transform generative AI concepts into scalable production systems while collaborating with internal engineering and product teams to drive innovation. Strong candidates will have experience deploying AI/ML solutions in production environments, working with large language models (LLMs), and supporting enterprise customers through complex technical implementations. Key Responsibilities Enterprise AI Solutions Lead technical discovery sessions with enterprise customers to understand business requirements and define AI solution strategies. Scope and execute proof-of-concept (POC) projects, performance testing, and solution evaluations. Design, build, and deploy production-ready AI applications within customer environments. Recommend appropriate model architectures, deployment strategies, and infrastructure based on customer requirements. Advise customers on model fine-tuning and optimization techniques, including supervised fine-tuning and other modern training approaches. Develop evaluation frameworks to measure model performance and production readiness. Customer Engagement Serve as the primary technical advisor for enterprise customers throughout implementation and deployment. Build relationships with technical and executive stakeholders. Guide customers through infrastructure, security, and compliance considerations. Support successful production rollouts and ongoing technical adoption. Cross-Functional Collaboration Partner with Product and Engineering teams to communicate customer feedback and influence product improvements. Identify recurring customer challenges and contribute to product roadmap discussions. Collaborate internally to improve deployment processes and customer success. Required Qualifications 3+ years of experience in customer-facing AI/ML, machine learning infrastructure, solutions engineering, or related technical roles Proven experience deploying AI/ML applications into production environments Hands-on experience with large language model (LLM) inference and/or model training using open-source model frameworks Strong Python programming skills Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Experience with containerization and orchestration technologies, including Kubernetes Excellent communication skills with the ability to engage both technical teams and executive stakeholders Ability to manage multiple enterprise projects in a fast-paced environment Preferred Qualifications Experience with modern LLM fine-tuning methodologies such as supervised fine-tuning (SFT) and other advanced optimization techniques Background in enterprise AI solution architecture or technical consulting Experience working within high-growth startup environments Strong understanding of enterprise infrastructure, security, and compliance requirements Experience supporting large-scale customer deployments Ideal Candidate Profile Successful candidates typically have: Experience building and deploying production AI solutions rather than purely research or advisory work Strong knowledge of open-source LLM frameworks and inference platforms Experience working directly with enterprise customers throughout implementation and deployment The ability to translate complex technical concepts for both engineering teams and executive leadership A collaborative mindset with a passion for solving complex customer challenges Experience working in fast-paced, high-growth environments Schedule & Travel Full-time position Remote-friendly within the United States Preference for candidates located near major East or West Coast metropolitan areas, though exceptional remote candidates will be considered Regular domestic travel to customer sites for technical discovery, proof-of-concept implementations, and production deployments Compensation Competitive base salary Performance-based bonus or on-target earnings (OTE) Equity package Compensation commensurate with experience and qualifications Benefits Comprehensive medical, dental, and vision insurance Equity participation Performance-based bonus opportunities Flexible remote work environment Professional development and career growth opportunities Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments Collaborative, fast-paced engineering culture

We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.

We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.

DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime, and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The selected candidate will provide systems engineering support across the acquisition lifecycle and will be aligned to the Air Mission Integration Team (MIT). The MIT is responsible for translating operational requirements into technical solutions, developing integrated architectures, assessing and mitigating risks, supporting acquisition execution strategies, and coordinating test and evaluation activities to ensure capabilities are delivered to operational users. This is a full-time position located at Hanscom AFB, Bedford, MA and is 100% onsite. Essential Job Functions: This position provides the opportunity to work on some of the most dynamic, unique, and important programs supporting the United States Air Force. The selected candidate will work directly with senior leadership while supporting critical mission integration efforts that help shape the future of the DAF Battle Network and create opportunities for professional growth and development. Provide systems engineering support throughout the acquisition lifecycle, including requirements analysis, system design, integration, sustainment, and disposal activities. Support Mission Integration Team (MIT) activities by translating operational and functional requirements into technical requirements. Participate in architecture definition efforts to ensure integration and interoperability across the DAF C3BM enterprise architecture. Review current DoD architecture models and support development of future-state architectures that enable sensor-to-shooter connectivity. Support risk assessments and collaborate with stakeholders to identify and mitigate technical and programmatic risks. Assist in developing execution management strategies and transition capability requirements to the acquisition community. Support development of test and evaluation strategies in coordination with acquisition and test organizations. Drive interoperability and integration efforts across Program Executive Offices (PEOs) and weapon systems. Capture and analyze current and future operational architectures based on mission and engagement scenarios. Engage with joint and coalition stakeholders to support development of integrated multi-domain architectures. Support identification, assessment, and maturation of innovative concepts through analysis, modeling, simulation, and systems engineering activities. Prepare and support technical briefings, engineering documentation, reports, and recommendations for Government leadership. Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must have and be able to maintain a Top-Secret level clearance and have current SCI eligibility. BA/BS degree and 10+ years of experience, with at least five years supporting DoD programs. Systems Engineering across the acquisition lifecycle. Systems Architecture and Integration. Requirements Analysis and Development. Mission Integration and System-of-Systems Engineering. Operational Analysis and Architecture Development. Cloud-based systems, including management and projection of cost and performance. Agile methodologies, CI/CD, DevSecOps, and DevOps principles. Knowledge of systems acquisition and program management processes as defined in DoDI 5000.02 and DoDI 5000.75. Modeling, Simulation, and Analysis. Technical Documentation and Brief Development. Salary Range $90,220-$175,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits

Job Overview: Pay Range: $43.00hr - $48.00hr Requirement/Must Have: 10+ years of experience in software development. Expertise in Core Java (Java 8/11+), Spring Boot, and Spring Cloud. Strong understanding of Microservices architecture and REST APIs. Proficiency in frontend technologies including React, Angular, TypeScript, and JavaScript. Experience building distributed systems and scalable applications. Experience with containerization tools such as Docker and Kubernetes. Familiarity with CI/CD tools including Jenkins, GitHub, or GitLab. Hands-on experience with AWS services including EC2, Lambda, S3, RDS, and API Gateway. Domain experience in P&C or Life Insurance systems. Strong combination of hands-on coding, architecture, and team leadership skills. Responsibilities: Lead the design, development, and delivery of enterprise-grade insurance applications using Java full stack technologies, microservices architecture, and AWS cloud platforms. Ensure scalability, security, and performance of applications. Lead end-to-end full stack development using Java (Spring Boot) and UI frameworks like React or Angular. Define and drive microservices-based architecture and API strategy. Provide technical mentorship, conduct code reviews, and enforce best practices. Design and implement cloud-native applications on AWS using EC2, S3, Lambda, API Gateway, and RDS. Build scalable RESTful APIs and event-driven microservices architectures. Ensure high availability, fault tolerance, and performance optimization. Define solution architecture, integration patterns, and system workflows. Participate in architecture discussions, design reviews, and technical planning. Translate business requirements into scalable technical solutions. Integrate with insurance platforms such as Guidewire. Implement CI/CD pipelines and containerization using Docker and Kubernetes. Ensure code quality through testing, automation, and reviews. Skills: Core Java. Java 8. Java 11. Spring Boot. Spring Cloud. Microservices. REST APIs. React. Angular. TypeScript. JavaScript. Docker. Kubernetes. Jenkins. GitHub. GitLab. AWS. EC2. Lambda. S3. RDS. API Gateway. Guidewire. 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 Platform Engineering Engineer Overview We are seeking a Platform Engineering Engineer to develop and maintain reusable software components that support engineering teams and improve developer productivity. This role focuses on designing, implementing, integrating, and maintaining platform infrastructure and software solutions that enable scalable, secure, and automated application development. Key Responsibilities Design platform infrastructure and tools in collaboration with enterprise architects and software engineering teams. Implement and manage infrastructure supporting platform tools, including upgrades, security patches, and performance improvements. Evaluate cloud platforms, containerization technologies, and infrastructure configurations to create reusable solutions for application teams. Develop and maintain Infrastructure as Code (IaC) and utilize CI/CD processes to automate infrastructure provisioning, configuration, and management. Implement monitoring, performance optimization, and scalability best practices using QoS and SLA metrics. Incorporate security, identity management, access control, encryption, logging, backup, and disaster recovery into platform infrastructure. Integrate enterprise-managed software configurations into deployment pipelines to ensure adherence to approved security, networking, monitoring, and performance standards. Gather feedback from developers and service providers to continuously improve the platform. Required Qualifications Bachelor's degree. 6+ years of IT experience. 4+ years of software development experience. Practical experience in two programming languages or advanced proficiency in one programming language. Experience with PostgreSQL. Experience with cloud infrastructure. Experience using Jenkins. Experience with Java. Preferred Qualifications Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run. Experience with BigQuery. Experience with Python. Experience with GCP services including BigQuery, Cloud Run, IAM, Dataflow, Pub/Sub, and Cloud Build. Ability to work onsite four days per week. HTC internal submittal checklist for Ford Motor Company: RTR is mandatory. The last four digits of the candidate's social security number are required; month and day of birth (mm/dd) are required. Create a social security number to be used for B2B submittals by using the following format. Note: Create this number only once; use this ss number for all submittals for this candidate moving forward. Please use the format of 5MMDDDATE to submit your bid. The 5 will be the generic number always submitted when a candidate does not have an SSN. MM = 2 Digit month of birth date DD = 2 Digit day of birth date Date = the month and day the candidate is submitted to the order Example 5 01 = Month of January 01 = January 1st - bid submitted April 7 Please ensure the candidate summary doesn't exceed 1500 characters including the space. If the candidate has previous Ford experience, ask who their Ford Manager or Supervisor was. In the "Summary" part of their resume, state: "Ford Motor Company experience; reported to _" Resume Formatting: Do NOT mention "HTC" in the resume's header/footer/title. In the header, underneath the candidate's name and title, put work preference. For example, "Local Candidate", "Non-local, willing to relocate", or "100% Remote". Ensure there are valid explanations for any gaps in employment, even as small as a month, e.g., "Seeking Employment", "Attending College", etc. Refer to the sample resume attached for any doubts. If Hacker Rank information is required for the submittal, the candidate's picture must be at the very top of the resume (above their name/title). Full Hacker Rank results must be attached below the resume. See attached sample resume. VMS Fee: When calculating gross profit (GP), include a discount rebate fee of 2.25%. LinkedIn: LI link in the candidate's profile is mandatory for each submission. (attached DRF, Ford Sample resume for more details) Verified, accepting resumes

Job Overview: Pay Range: $83.44hr - $88.07hr Requirement/Must Have: 5+ years of professional experience as a full stack engineer or in a similar role. Strong proficiency in Blazor (WebAssembly), C#/.NET and Python. Knowledge of modern cloud architecture, particularly Azure. Solid understanding of HTML, CSS, JavaScript, and modern frontend development practices. Experience with relational databases (MSSQL) and ORMs. Familiarity with containerization (Docker) and CI/CD pipelines. Strong problem-solving skills and attention to detail. Strong verbal and written communication skills. Excellent communication and presentation skills. Responsibilities: Design, develop and maintain high-quality web applications using Blazor, C#/.Net and Python. Enhance and scale our automation solution to support diverse workloads. Ensure the solution is scalable, maintainable, and aligned with objectives. Collaborate closely with engineers within and outside the team to design solutions that address complex automation challenges. Provide documentation and training for internal teams related to processes and tooling. Nice to Have: Hands-on experience with silicon validation and power/performance analysis is a plus. Skills: Blazor. WebAssembly. C#. .NET. Python. Azure. HTML. CSS. JavaScript. MSSQL. ORM. Docker. CI/CD. Qualification And Education: 5+ years of professional experience as a full stack engineer or in a similar role. 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 Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIec8e8137dced-1158