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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).

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated, and what its failure modes turned out to be. Demonstrated ownership of a legacy-to-modern migration of systems the business runs on, including the sequencing, the cost case, and the failure modes, with production revenue at stake rather than only familiarity with the concept. Hands-on credibility today: actively reads code, writes proofs of concept, joins design reviews, and participates in incident analysis. Evidence of influence without authority across organizational boundaries, including work that changed direction at the executive level. Strong written communication; architecture here is carried by documents that other people can act on without the author in the room. Demonstrated ability to develop staff and principal engineers, and to raise the technical bar of engineers not directly managed. Experience delivering in a regulated industry, or a clear ability to work inside audit, security, and compliance constraints without treating them as an obstacle. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan . click apply for full job details

Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX, Dayton (Beavercreek), OH, or Warner Robins, GA facilities. Objectives of this Role: Responsible to develop System level and LRU centric Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, build, integrate, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.

Systems Security Engineer (SSE) (Hybrid role, Multiple positions nationally) An Active Secret Clearance is required prior to starting this job Client Company is seeking a highly motivated Principal Systems Engineer (Systems Security Engineer) to develop the next generation of Company's industry-leading rugged, secure processing solutions. In this role, you'll be part of a Systems Engineering team primarily working within our Processing Technology business unit designing, integrating, verifying, and delivering rugged, secure, embedded products. You'll have the opportunity to shape technology across multiple lines of business and multiple product lines. You will collaborate with cross-functional teams to develop innovative and robust protections against reverse engineering, unauthorized access, and exploitation. You'll be working in a matrix organization as part of a multi-disciplined engineering team while collaborating with Line of Business Chief Engineers, systems engineering, program management, business development, operations, supply chain, and executive leadership to meet customer needs. The ideal candidate is someone who thrives in an environment of an integrated mindset, unconstrained thinking, and being empowered to make decisions. If you are passionate about systems engineering, security, cutting-edge technology, and have experience in developing secure/anti-tamper processing solutions, we want to hear from you. Required Qualifications: MUST-HAVES Bachelor's Science degree or higher in a STEM (Science, Technology, Engineering, Math) discipline. Experience in generating Anti-Tamper technologies, techniques, and principles, including hardware/software protections, secure boot, and encryption. Experience with (and knowledge of) Anti-Tamper technologies is an absolute MUST. Requires 6+ years' experience in Systems Engineering. Experience in system engineering principles, including requirements development and management, system design, and verification/validation. Experience in System Security Engineering (SSE) principles, reverse engineering & embedded security. Experience in designing, implementing, and/or testing of real-time embedded security solutions targeted for Department of Defense (DoD) platforms. Experience with Cyber Security, and/or Key Management plans. Experience in vulnerability assessments, threat modeling, and risk analysis to identify potential attack vectors and mitigation strategies. U.S. citizen with an active U.S. government issued DoD Secret security clearance is required prior to start date (must be active within the last 24 months). Preferred Qualifications: Advanced degree in a STEM (Science, Technology, Engineering, Math) discipline. Familiarity with Security State of the Art FPGAs and Intel CPUs Familiarity in design, integration, test, and fielding of secure systems Familiarity VPX and/or rack mount server hardware Experience with Cameo Enterprise Architect or equivalent MBSE tools. Experience with Jama, Confluence, Jira, Bitbucket.

CFSA requires a senior, deeply hands-on Solution Architect resource to serve as the technical design authority for STAAND (Stronger Together Against Abuse and Neglect in DC), the District's federally certified Comprehensive Child Welfare Information System (CCWIS). STAAND is a person-centric, AI-enabled platform built on Microsoft Dynamics 365 and the Power Platform hosted in a Government Community Cloud (GCC) tenant, with Azure services operating in Microsoft's commercial cloud. It supports CFSA social workers, supervisors, private agency partners, providers, resource parents, and District sister agencies across nine functional modules - Intake and Investigations, Case Management, ICPC, Finance (Contracts, Service Logs, and Fiscal), Provider, Eligibility and Subsidy, Placement, Services, and Management Reports - plus six external portals (Mandated Reporter, MPD, NYTD, OSSE, Resource Parent, and Community). STAAND also fields CORA, an AI assistant supporting natural-language search and AI-assisted contact notes among other use cases. The Resource will own architecture, security design, AI engineering, and the platform-release change cadence required to keep STAAND current and improving. This is a build-and-design role, not an advisory or oversight role. The Resource is expected to personally configure, code, prototype, review, and troubleshoot in the platform while serving as the credible technical voice to CFSA executive leadership, STAAND Product Team, OCTO, Microsoft, and Federal Partners (ACF/Children's Bureau). The Resource will work under the direct supervision of the District DevOps Manager. Scope of Work and Responsibilities 3.1 Solution and Platform Architecture • Own and maintain the authoritative STAAND architecture: logical and physical data models, Dataverse table and relationship design, solution segmentation, environment strategy, and integration topology. • Personally build in the platform - model-driven app configuration, plug-ins and custom APIs (C#/.NET), PCF controls, TypeScript/JavaScript client extensions, Power Fx, and plug-in pipeline optimization. • Establish and enforce architecture standards, design patterns, naming conventions, and technical debt registers across all modules and portals. • Chair design authority review for significant changes; sign off on solution designs before build. • Diagnose deep platform issues: performance degradation, API and service-protection limits, plug-in execution ordering, solution layering conflicts, storage growth, portal rendering. • Maintain architecture artifacts sufficient to satisfy CCWIS review, federal audit, and District IT governance. 3.2 Cross-Cloud Architecture: GCC and Commercial Azure • Design, document, and harden the boundary between the GCC Dynamics/Power Platform tenant and Azure commercial-cloud services. • Define what data may traverse that boundary, in what form (de-identified, tokenized, aggregated, or full record), under what authorization, and with what logging - including explicit architectural boundaries for protected data categories such as Medicaid Enrollment. • Implement cross-tenant identity, managed identities, service principals, Key Vault secret lifecycle, private networking, and API gateway patterns. • Maintain a defensible position on data residency and FedRAMP authorization boundaries for every commercial-cloud service in use, and present that position to auditors and federal reviewers. 3.3 AI and Agentic Development • Serve as hands-on technical lead for CFSA's AI capability, including CORA and its expansion into agentic workflows. • Design, build, evaluate, and productionize agents in Azure AI Foundry and Copilot Studio: tool and function calling, orchestration and multi-agent patterns, grounding and retrieval over Dataverse and document stores, prompt and context engineering, structured output, and human-in-the-loop checkpoints. • Own AI evaluation discipline: golden datasets, automated evals, groundedness and hallucination measurement, regression testing on model or prompt changes, latency and cost benchmarking, controlled rollout. • Manage the AI model lifecycle - track model releases and deprecations, run comparative evaluation before adopting a new model, execute migrations without regression to worker-facing quality. • Implement responsible AI controls appropriate to a child welfare setting: content safety, PII/PHI handling, bias and fairness testing, explainability, audit logging of AI-influenced actions, and clear framing of AI output as decision support rather than decision making. • Support predictive and analytic capability aligned to agency mission priorities, ensuring models are validated, monitored for drift, and governed. • Build reusable AI platform assets - prompt libraries, agent templates, evaluation harnesses, observability dashboards. 3.4 Application and Platform Security • Own the security architecture of STAAND end to end; serve as technical counterpart to the agency ISSO, OCTO security, and District privacy officials. • Apply and evidence compliance with OCTO IT policies (octo.dc.gov/page/it-policies), NIST SP 800-53, FISMA, FedRAMP, HIPAA, 45 CFR 1355 (CCWIS), Title IV-E confidentiality, and District data protection law including DC Code 28-3851 et seq. breach notification obligations. • Design and enforce least privilege: Dataverse business unit and role architecture, row/column-level security, portal web roles and table permissions, privileged access management, separation of duties for finance and eligibility functions. • Lead secure SDLC: threat modeling, secure code review, static and dynamic analysis, dependency and supply-chain scanning, secrets management, remediation tracking with severity-based SLAs. • Support penetration tests, vulnerability assessments, and audit response; own STAAND-assigned POA&M items. • Define AI-specific security requirements: prompt injection defenses, tool-permission scoping, data exfiltration prevention, agent action auditing. • Contribute to incident response, continuity, and disaster recovery planning; validate RTO/RPO through periodic exercises. 3.5 Continuous Improvement and Release Management • Own the STAAND change pipeline from enhancement request through design, build, test, release, and post-release verification, including published release notes and coordination with the CISA training organization. • Plan and execute against Microsoft's Dynamics 365 biannual release waves and Power Platform service updates: early-access testing in a dedicated environment, deprecation and breaking-change assessment, and a documented impact and remediation plan per wave. • Evaluate new platform, Azure, and AI capabilities against the STAAND roadmap; run structured proofs of concept and make evidence-based adopt / trial / hold / retire recommendations. • Maintain a rolling multi-year technical roadmap balancing stabilization, platform health, security, federal compliance, and innovation. • Drive performance, reliability, and cost optimization - capacity and license consumption, Azure spend, storage tiering, API efficiency. • Advance DevOps maturity: source-controlled solutions, automated build and deploy pipelines, environment refresh, automated regression testing, release quality metrics. • Maintain and report the technical issues and risk register with mitigation owners and timelines. 3.6 Data, Interoperability, and Federal Reporting • Own the data architecture supporting AFCARS, NCANDS, NYTD, CFSR, and Title IV-E reporting, including lineage, quality rules, exception handling, and submission validation. • Design and maintain bi-directional exchanges with District and external partners consistent with CCWIS interoperability requirements. • Establish automated data quality controls, duplicate person detection and merge integrity, and reconciliation with legacy records. 3.7 Stakeholder and Senior Leadership Engagement • Translate between social work practice and technical architecture; observe real workflow with intake workers, investigators, case managers, placement staff, and fiscal teams before designing for it. • Brief the CFSA IT Steering Committee Members, CIO, STAAND Product Leadership, OCTO leadership, Council oversight staff, court monitors, and ACF/Children's Bureau reviewers, calibrating to each audience. • Serve as principal technical liaison to Microsoft (Industry Solutions Delivery, Customer Success, product groups) and to implementation and support vendors; hold them to architectural and quality standards. • Author decision memos, architecture decision records, briefing decks, and federal reporting content requiring minimal editing. • Mentor CFSA staff and other contract resources; build internal capability and reduce single-point-of-failure dependency. Dynamics 365 Customer Service (MB-230) Microsoft Certified: Power Platform Solution Architect Expert (PL-600) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline from an accr Progressive IT experience Solution or enterprise architecture on enterprise-scale, mission-critical systems Microsoft Dynamics 365 CE / Dataverse / Power Platform - hands-on Lead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles) Microsoft Azure architecture and hands-on build (PaaS integration, data, identity) Generative AI / agentic development in production - Azure AI Foundry, Azure OpenAI, or Copilot Studio RAG / grounding, tool calling, agent orchestration, and AI evaluation methodology Application security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC) Government cloud delivery - GCC, GCC High, or Azure Government Pro-code D365 extensibility - C#/.NET plug-ins, custom APIs . click apply for full job details

Pay Range: $55.00hr - $60.00hr Job Overview: We are seeking a Senior Technical Architect - Network Services, LAN/WAN to join our Technical Architecture team and help design, standardize, and evolve a large-scale global enterprise network. The primary focus of this role is Network Services, including DNS, DHCP, IP Address Management (DDI), and related enterprise network services, with a secondary focus on LAN/WAN architecture. This is an excellent opportunity for an experienced network engineer with strong Network Services expertise who is looking to transition into architecture, as well as an architect who is relatively early in their architecture career. The Senior Architect will work closely with Network Engineering and other Technical Architects to develop architectures, high-level designs, standards, LLD templates, golden configurations, and implementation guidelines. This is a Senior-level architecture position where the successful candidate will have meaningful technical ownership while working alongside experienced Principal Architects who will provide mentorship and guidance. Responsibilities: Develop and maintain enterprise architecture for DNS, DHCP, IPAM, and related network services. Develop network services reference architectures, standards, design patterns, and implementation guidelines. Design scalable, resilient, and secure Network Services solutions for a global enterprise environment. Develop standards for DNS, DHCP, IPAM, address allocation, name resolution, service resiliency, and related infrastructure. Evaluate Network Services technologies and architectures for scalability, security, resiliency, and operational effectiveness. Contribute to Network Services technology roadmaps and lifecycle planning. Partner with Engineering and platform teams to ensure Network Services architectures are practical and supportable. Develop high-level designs for enterprise LAN, WAN, routing, switching, and related network technologies. Apply strong LAN/WAN knowledge when designing and integrating Network Services solutions. Evaluate network designs for scalability, resiliency, security, and operational effectiveness. Participate in LAN/WAN technology evaluations, proof-of-concepts, and architecture assessments. Contribute to broader network architecture standards and reference designs. Develop and maintain LLD templates, golden configurations, and configuration standards for Network Services and assigned LAN/WAN technologies. Translate approved architecture and reference designs into practical, repeatable engineering solutions. Partner with Network Engineering to validate and continuously improve these standards. Develop implementation patterns that can be consistently applied across the enterprise. Validate configurations and implementations against approved architecture standards, reference architectures, golden configurations, HLDs, and LLDs. Perform architecture and standards compliance reviews. Identify deviations from established standards and work with Engineering to resolve or formally document exceptions. Provide technical guidance when implementations require interpretation of architecture standards. Establish feedback loops between Architecture and Engineering to continuously improve standards and implementation practices. Own assigned Network Services and LAN/WAN architecture initiatives and deliverables. Review engineering designs and provide architectural guidance. Mentor network engineers and share technical knowledge. Create Architecture Decision Records (ADRs) and maintain architecture documentation. Collaborate with Wireless, Security, Cloud, Desktop Compute, and other technical architects. Work with vendors and technology partners on technical capabilities and solutions. Required Qualifications: 12+ years of enterprise networking experience, with significant experience in Network Services and LAN/WAN environments. Strong practical experience designing, implementing, and troubleshooting enterprise network infrastructure. Infoblox DDI Professional (DDIP) certification preferred. CCIE certification Required. Strong knowledge of DNS, DHCP, IP Address Management (IPAM), Enterprise LAN/WAN/SDWAN architecture, Routing and switching, BGP and OSPF, IPv4/IPv6, Network resiliency and high availability, and Network security principles. Experience developing or working with network standards and design documentation. Strong analytical, communication, and problem-solving skills. Ability to work effectively across Architecture and Engineering teams. Preferred Qualifications: Experience with enterprise DDI platforms, such as Infoblox. Experience developing Network Services HLDs and LLDs. Experience creating and maintaining golden configurations. Experience with Cisco enterprise networking technologies. Experience with SD-WAN. Experience with network automation and infrastructure-as-code concepts. Familiarity with network monitoring and observability. Experience with cloud and hybrid network architectures. Experience working in a large global enterprise environment. 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.

About the role: • We're seeking a Principal Backend Engineer to set the technical vision for our backend platform and drive its architecture, service design, and delivery across multiple teams. • Our backend is built as Go-based microservices, and you'll be the technical authority on how those services are designed, built, operated, and evolved. • You'll operate at the intersection of engineering, product, and architecture - shaping not just how services get built, but what gets prioritized and why. • You'll own the API and event contracts that the front end and other systems depend on, and hold end-to-end accountability for the platform's engineering foundations: service boundaries, data modeling, reliability, observability, performance, security, and testing strategy. • You'll also be a force multiplier for the engineering org - raising the technical bar through mentorship, architecture reviews, and by modeling how ambiguous, cross-team problems get solved.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong technical depth to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption - and to help deliver the migration of validated workloads to Databricks. This is hands on role and demands the ability to reverse-engineer existing implementations, assess their correctness, and build to an agreed migration strategy. Key Responsibilities Contribute to the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation Implement target-state designs aligned to modern lakehouse principles, ensuring feature parity and business logic fidelity during transitions Support platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover Execute migration of existing workloads to modern data platforms, preserving existing governance and control framework semantics Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards Collaborate with business, data governance, and architecture stakeholders to validate embedded business rules and data quality requirements Mentor less experienced engineers, review code and designs, and support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication for real-time source integration Azure Analysis Services and Power BI consumption layer patterns Deep understanding of medallion architecture: Raw / Harmonized / Conformed / Consumption layers Strong knowledge of SCD Type 0/1/2, CDC patterns, soft/hard delete, and retroactive change processing Experience with Synapse SQL Pool - stored procedures, control tables, and data quality validation patterns Experience with audit, balance, and control frameworks - parameterized, modular pipeline governance at enterprise scale Familiarity with config-driven and automation-first pipeline patterns (YAML, PySpark, SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark / Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability to re-implement governance and control frameworks natively in Databricks (audit logging, reconciliation, DQ checks) Experience with Delta Lake features: MERGE, CDC, time travel, schema enforcement Data Engineering & Development Strong Python and SQL programming skills Experience with ETL/ELT at scale: denormalization, surrogate keys, directory tables, curated data models Experience integrating complex data sources: Oracle DB, SQL Server, Azure SQL DB, file systems, Salesforce, APIs Strong data modelling skills: relational, dimensional, and lakehouse-oriented DevOps & Automation CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) Infrastructure as Code (Terraform or ARM) Containerization (Docker) Experience with automated testing frameworks for data pipelines (unit testing, reconciliation-based validation) Nice to Have Experience with Unity Catalog for data governance and lineage Familiarity with Azure Purview for data cataloguing and governance Exposure to real-time and streaming pipelines (Event Hub / Kafka / Kinesis) Experience with GenAI or ML platform integration (MLOps, feature engineering pipelines) Familiarity with monitoring and observability tools (e.g., Dynatrace) Exposure to BI tools (Power BI, Tableau) Experience & Profile 7+ years of hands-on experience in Data Engineering, including platform migration or re-engineering work Proven track record working on existing, complex enterprise data platforms - not just building from scratch Deep knowledge of enterprise data governance patterns: audit trails, reconciliation, data quality controls, SCD versioning Strong analytical mindset: ability to read existing implementations, identify intent versus defect, and make sound re-engineering decisions Primarily hands-on, while comfortable contributing to technical design discussions Strong communication skills - able to engage business, governance, and engineering stakeholders with clarity Experience working in regulated or enterprise-scale environments (financial services a plus) What we offer We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay range for this role is $110,000 - 150,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $ 77,120.00 - $ 147,390.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Company Description At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South. Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience. Be a part of the team that will make this vision a reality .designing and building a world class fiber network and creating a customer experience second to none. Check us out on the web! Job Description Brightspeed has an exciting opportunity for a Principal Network Architect for Transport to join our growing team. As Principal Network Architect, you will be responsible for the development of tactical and strategic solutions that deliver on the corporate vision while establishing architecture standards. As a Network Architect for Transport, you will be responsible for the engineering, design, deployment, optimization, and lifecycle support of Brightspeed's optical and packet transport infrastructure. You will work closely with Network Architecture, Lab, Planning, Operations, Field Engineering, vendors, and other technical teams to ensure the transport network provides the capacity, resiliency, performance, and reliability required to support Brightspeed's broadband, voice, Ethernet, and enterprise services. As Principal Network Architect you will have the following responsibilities: Serve as a technical Subject Matter Expert (SME) for optical and packet transport technologies, including DWDM, OTN, ROADM, Ethernet, and high-capacity wavelength services. Support metro, regional, and backbone transport networks supporting broadband, voice, enterprise, mobile backhaul, and network infrastructure connectivity. Support transport platforms and technologies from vendors such as Ciena, Nokia, Cisco, Fujitsu, Infinera, Ribbon, and other strategic Brightspeed suppliers. Develop detailed engineering packages, bills of material (BOMs), equipment configurations, fiber assignments, port assignments, rack requirements, and implementation documentation. Work closely with Network Planning and Architecture to translate network strategy and capacity requirements into executable transport engineering designs. Partner with Operations, Field Engineering, and implementation teams to ensure transport solutions can be successfully deployed, commissioned, monitored, and supported. Provide technical support for complex transport network incidents, chronic network issues, performance degradation, and escalations. Assist Operations with troubleshooting optical impairments, high loss, degraded wavelengths, equipment failures, fiber-related issues, and transport network alarms. Support network migrations, equipment replacements, capacity augments, technology upgrades, network grooming, and legacy platform retirement initiatives. Develop and maintain transport engineering standards, design guidelines, approved configurations, and operational best practices. Evaluate new transport technologies, platforms, optics, and software releases through technical analysis, lab testing, Proof of Concept (POC), and field validation. Work with Network Architecture and the Brightspeed lab to validate new transport platforms, optics, configurations, and network designs before production deployment. Participate in vendor technical reviews and evaluate proposed solutions for technical compliance, interoperability, scalability, reliability, and lifecycle considerations. Identify technical risks and develop mitigation strategies associated with capacity, fiber availability, equipment lifecycle, interoperability, resiliency, and network performance. Create and maintain network engineering and operations documentation of guidelines and configurations. Provide technical guidance and recommendations to Network Planning, Architecture, Operations, Product, and leadership regarding transport network requirements and investment priorities. Continually assess the existing transport environment and identify opportunities to improve capacity, reliability, operational efficiency, scalability, and cost effectiveness. Qualifications WHAT IT TAKES TO CATCH OUR EYE: Bachelor's degree in Electrical Engineering, Telecommunications, Computer Engineering, Computer Science, or a related technical discipline; equivalent telecommunications experience may be considered. 15+ years of telecommunications network engineering experience, with significant experience in optical or packet transport networks. Strong working knowledge of DWDM, CWDM, OTN, ROADM, Ethernet, MPLS, and carrier-grade transport technologies. Experience engineering and supporting carrier-class optical platforms, preferably including Ciena 6500, Nokia GX, Fujitsu 9500, or comparable transport systems. Experience with metro, regional, long-haul, and backbone transport network architectures. Experience developing detailed network engineering documentation, including diagrams, equipment requirements, port assignments, fiber assignments, BOMs, implementation packages, and Methods of Procedure (MOPs). Experience with fiber characterization and optical test equipment such as OTDRs, optical power meters, spectrum analyzers, and Ethernet/transport test sets. Familiarity with test platforms from vendors such as VIAVI, EXFO, Spirent, or Equivalent. Experience identifying potential design, capacity, performance, resiliency, interoperability, and support risks and developing appropriate mitigation strategies. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. Understanding of telecommunications facilities, including racks, power, grounding, fiber distribution, patch panels, DC power systems, and environmental requirements. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. BONUS POINTS FOR: Master's Degree Telecom/Cable/Internet Service Provider industry experience Additional Information WHY JOIN US? We aspire to contemporary ways of working. Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be. We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. Inclusion and belonging are at the center of our grounding belief in Being Real . When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer that is committed to inclusion of all qualified individuals, including individuals with a disability/veterans. If you require reasonable accommodation to complete a job application or to otherwise participate in the hiring process, please contact to initiate the accommodations process. For all applicants, please take a moment to review our Privacy Notices: Brightspeed's Privacy Notice for California Residents Brightspeed's Privacy Notice

Job Description Job Description Space Systems Integration (SSI) is a fast-growing engineering company that provides aerospace solutions to a variety of government and commercial customers. Our employees are forward-thinking, self-directed individuals who are committed to solving our customers' technical challenges. SSI is seeking a Product Support Manager for a role in Colorado Springs, CO. PM&AS/Enterprise Operation & Help Desk Principal Duty You will work in a small, highly empowered team where every team member is directly responsible for the success of the program. Engineering responsibilities span technology domains including space rated hardware, software, sensors, and processors in an extremely fast-paced, responsive development environment. This SETA candidate will directly assist the Government Program Manager (PM) in managing, monitoring, and evaluating the execution of a prime contractor responsible for enterprise-wide Tier 0/1 help desk operations. In this role, you serve as the PM's trusted technical agent, ensuring contractor performance aligns with contractual service level agreements (SLAs), operational metrics, and agency technical standards. The operational scope covers front-line support across modern cloud infrastructure, platforms, antenna and satellite network distribution, core Network Operations Center (NOC) environments, and identity/account management workflows. Role and Responsibilities include: Serves as program advisory lead for extremely time critical technical projects, test projects, or tasks requiring appropriate level technical expertise. Leverages operations experience to assist the program offices in developing and fielding space systems. Act as an operational bridge between the help desk contractor, Tier 2/3 engineering teams, external mission partners, and customer end-users Track, validate, and report on contractor performance against Key Performance Indicators (KPIs) and Service Level Agreements (SLAs)-including First Contact Resolution (FCR), Mean Time to Resolve (MTTR), ticket backlog, and abandonment rates. Identify technical risks, operational bottlenecks, and service delivery failures; draft corrective action recommendations and risk mitigation strategies. Assists acquisition planning, market research, and drafting technical requirements and documents. Coordinates with internal and external stakeholders to verify program needs and identified to meet project goals. Helps the government assess the technical sufficiency, cost, quality, and timely delivery of program deliverables. Confers with engineers to provide technical advice and to assist with problem resolution as needed. Supports management and execution of programs consisting of multiple projects ensures overall program is properly coordinated and efficiently accomplished with the best available resources. Aids in the development of a Monthly Status Report on all support efforts including updates in status and performance, major activities, challenges and opportunities, deliverables, and subcontractor performance. Drafts, reviews, and edits final program reports, documents, and briefings. Supports acquisition planning and development of documents required for systems acquisition. Coordinates with external agencies to include operational units, higher headquarters, Combatant Command (COCOM) staffs, other acquisition activities, and research and development functions. Coordination will include producing, tracking, coordinating all agreements and documentation necessary for the systems to transition seamlessly into a framework for organizing, training, and equipping the United States Space Force Supports and advises acquisition and program management functions, advises government management on design challenges, delivery and integration, and supports system program reviews. Work on high-visibility or mission critical aspects of a given program and perform all functional duties independently. Oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Translate complex ideas and data into simple, actionable recommendations or easily differentiated courses of action. Communicate clearly, concisely, and with technical accuracy-oral and written. Required Qualifications: Minimum ten (10) years DoD/IC, or relevant industry work experience. Proven experience and/or qualifications in development and fielding satellite systems. Systems Engineering/IT/Computer Science degree from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or possess a Professional Engineering license. MA/MS/ME degree. Understanding of operational environment, working with USSF Combat Forces Command and corresponding mission user needs. Experience with Electronic warfare principles and operations. Experience fielding systems to user communities. Knowledge of space system engineering, development, and manufacturing. Experience in DoD program management including program development and transition. Experience with Integrated Master Schedules, and risk management Experience with Statements of Work (SOW) and Performance Work Statements (PWS). Strong working knowledge of IT Service Management (ITSM) frameworks (ITIL), enterprise ticketing platforms (e.g., ServiceNow, Remedy, Jira Service Management), and Tier 0/1 escalation tiering. Cloud infrastructure/platform support basics (AWS, Azure, or hybrid enterprise environments). Network operations concepts and satellite/antenna ground network support interfaces. Identity, Credential, and Access Management (ICAM/IAM) processes and directory services (Active Directory, Okta, etc.). Active TS clearance with in-scope T5/SSBI is required, along with SCI eligibility and participation in Continuous Evaluation. Must meet all requirements for SCI and SAP access and be willing to undergo a polygraph examination. Travel is 30%. Desired Qualifications: 5+ years of relevant DoD and/or Industry work experience with SAP and/or SCI. System Engineering Technical Assistance (SETA) to Government program office. Experience with rapid prototyping. Experience with integrated air, space and cyberspace capabilities. Experience developing, deploying, and maintaining ground mission planning architecture and software. Experience with ACAT I/II level acquisition programs. Experience using multivariable optimization in mission planning software systems. Experience in planning and executing test campaigns for space systems. Fluency with IC organizations. ITIL v3/v4 Foundation (or higher). CompTIA Security+ or equivalent DoD 8570/8140 baseline certification. Associate-level Cloud Certification (e.g., AWS Certified Cloud Practitioner / Solutions Architect, Microsoft Azure Fundamentals. Target salary range: $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. We offer medical/dental/vision benefits and 401k contribution. Space Systems Integration provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, or any other characteristic protected by federal, state, or local laws.

Job Description Job Description About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: As Principal Data Architect, you will define and drive the enterprise data architecture strategy across ParetoHealth, enabling trusted, connected, secure, and AI-ready data products that power business intelligence, advanced analytics, and intelligent automation. You will work across business, product, engineering, analytics, and AI teams to translate complex business needs into scalable data platforms and architectures. You will bring deep expertise in modern data architecture, strong technical judgment, and the ability to navigate complex data ecosystems, ideally within healthcare, health insurance, employee benefits, or financial services. This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution. Key Responsbilities: Enterprise Data Architecture & Strategy Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth's business and technology strategy. Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products. Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange. Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability. Modern Data Platforms & Engineering Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing. Establish patterns for data ingestion, transformation, orchestration, data quality, metadata management, lineage, and observability. Enable interoperable data products and APIs that make trusted data accessible to applications, analytics, and AI systems. Partner with engineering teams to establish best practices for data modeling, platform reliability, performance, security, and cost optimization. Healthcare & Insurance Data Design data architectures that integrate complex, fragmented data across healthcare, health insurance, employee benefits, employer groups, claims, eligibility, provider networks, and financial systems, as applicable. Develop a strong understanding of healthcare benefits and insurance business processes, data entities, and industry-specific interoperability requirements. Enable secure and governed access to sensitive healthcare and personally identifiable information, incorporating HIPAA and other applicable regulatory and privacy requirements. Translate complex healthcare and insurance data into consistent, usable models that support business operations, financial analysis, cost transparency, and better decision-making. AI, Analytics & Data Products Build an AI-ready data foundation that enables machine learning, generative AI, agentic workflows, and intelligent automation. Define architectures for high-quality, contextual, discoverable, and governed data that can be safely consumed by AI applications. Partner with data science, analytics, product, and engineering teams to enable predictive insights, operational intelligence, and data-driven product innovation. Establish data product principles that emphasize business ownership, trusted metrics, reusability, and measurable business outcomes. Technical Leadership & Governance Serve as a trusted technical advisor to engineering, product, business, security, and executive stakeholders. Define architectural standards, reference architectures, design principles, and technical roadmaps. Drive alignment across teams and influence decisions without relying solely on formal authority. Mentor senior engineers and data architects, raise the bar for technical excellence, and foster a culture of accountability and continuous improvement. Required Qualifications / Skills: 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with demonstrated experience leading enterprise-scale architecture. Proven track record designing and implementing modern cloud data platforms and complex data integration architectures. Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design. Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools. Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security. Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases. Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders. Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes. Preferred Qualifications: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems. Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats. Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements. Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration. Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation. Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow's needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services . click apply for full job details

Job Description Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection. Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team. Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above. Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time. Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of. Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval. Own deployment, CI/CD and operational reliability of the platform on Kubernetes. Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems. Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval. A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware. Familiarity with transaction data and transaction fraud signals. Compensation Base salary range: $180 - $270 Bonus / commission: 15% Travel Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations. This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent. NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C. Pay Rate: $85-$95/hr Duration: 6-month contract-to-hire Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Platform Architecture & Delivery Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely. Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency. Quality, Governance & Operations Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines. Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting. Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows. Technical Leadership & AI Enablement Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices. Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases. Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy. QUALIFICATIONS Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience. Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems. Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design. Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent. Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security. Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments. Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks. Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures. Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira. Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) Experience in healthcare, regulated environments, or large enterprises is strongly preferred. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.

Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.

Job Description Job Description Role Overview We are seeking a Principal Data Architect to lead the design and delivery of a modern investment data ecosystem supporting a large-scale front office transformation. This role is ideal for a strategic technical leader who combines deep architecture expertise with strong business acumen and can partner directly with investment stakeholders to modernize data platforms, workflows, and analytics capabilities. You will serve as both a hands-on architect and trusted advisor, guiding technology direction, influencing platform decisions, and mentoring internal teams through a multi-year modernization journey. Key Responsibilities Architect and implement modern investment data platforms and pipelines Lead enterprise data architecture strategy across front office systems Evaluate and recommend vendor platforms and integration approaches Translate investment workflows into scalable data models and architecture Partner directly with portfolio managers, traders, analysts, and technology leaders Mentor internal data engineers and architects Drive adoption of modern data tools, standards, and governance practices Communicate technical strategy clearly to business stakeholders and executives Required QualificationsModern Data Platform Expertise Production experience with Snowflake , including performance optimization and cost management Strong experience with dbt , testing frameworks, lineage, and documentation standards Advanced data modeling for analytics, reporting, and investment decision support Investment / Financial Domain Experience Deep FactSet expertise (workstation, feeds, APIs), preferably including modernization or migration initiatives Strong understanding of front office data flows: Portfolio management Trading workflows Investment research processes Familiarity with: Order Management Systems (OMS) Portfolio accounting platforms Performance measurement systems Professional Experience 8+ years in data architecture, data engineering, or platform architecture 5+ years in asset management, capital markets, or investment operations Demonstrated experience leading modernization or transformation initiatives Track record of collaborating directly with investment professionals to solve complex data challenges