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Job Description Job Description: Job Description Role: Forward Deployed Engineer (FDE) - Agentic AI , Americas Role Type: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery) Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago - flexible for the right candidate). Travel Expected. Level: Manager/Principal/Senior Principal Business Unit: (Enterprise AI Platforms & Agentic Solutions). Reporting to: Artificial Intelligence Leader, North America. About Company: Global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate, compete, and grow. By combining deep domain knowledge, advanced engineering, and transformation expertise, delivers measurable business impact at scale. Enterprise AI business unit, purpose built to help organizations move beyond pilots into scaled, product iongrade AI adoption, functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise.Operating across Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, works closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes. Role summary Building and scaling enterprise grade GenAI + Agentic AI capabilities (Foundry, orchestration, governance/AgentOp, accelerators, and verticalized agents) across Fortune 2000 clients. As a Forward Deployed Engineer (FDE), you will operate at the intersection of executive problem framing, rapid engineering, and scalable architecture. You will engage directly with client CXOs and ssseni or leaders to identify a highvalue wedge, build a working proof in weeks, and translate that into a clear path toward MVP and scaled rollout on or nay hyper-scaler platforms. You will be embedded in deals and client journeys-shipping real agentic systems, not slides. Key Responsibilities 1) Executive-facing discovery & value shaping Partner with Sales, Client Partners, and leaders to run CXO-level working sessions that translate business pain into an Outcome Thesis (KPI tree, baseline, uplift hypothesis, operating constraints). Identify the right "thin-slice" wedge for a rapid Proof of Value (PoV): high signal, measurable, low dependency, enterprise-relevant. Communicate trade-offs clearly: what to automate vs assist, where human-in-the-loop is required, and what "safe scale" entails. 2) Rapid Proof of Value engineering Build a rapid PoV that demonstrates business impact + technical feasibility trustworthiness Implement agent workflowswith tooluse, integration to enterprise systems, and lightweight UI/experience for stakeholder clarity. Create initial evaluation harness (task success, accuracy, policy compliance, tool-call success, latency/cost) and capture baseline vs PoV lift. 3) Agentic blueprint & path-to-scale handoff Produce a scalable Agentic Blueprint: agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability, and HIL escalation. Define MVP backlog and architecture decisions: identity/access, audit, logging, fallback design, policy boundaries, and deployment model. Hand off cleanly to delivery teams (MVP squads / pods) with a production-ready plan. 4) Solution architecture + client ecosystem Design solutions using constructs or hyper scaler Agentic AI foundations (Foundry, knowledge fabric/RAG patterns, agent orchestration, governance, observability/AgentOps Deploy across hyperscalers (AWS/Azure/GCP) and/or client environments; integrate with enterprise apps (e.g., ServiceNow, Salesforce, SAP, Microsoft stack). Ensure alignment with enterprise security, privacy, and compliance requirements. 5) Deal acceleration & differentiation Serve as a technical "closer" in competitive pursuits: demos, workshops, architecture deep dives, and technical validation. Create reusable accelerators: prompt packs, workflow templates, connectors, eval suites, reference architectures-so future PoVs become faster and repeatable. Contribute to thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks). What success looks like (12-month outcomes) Time-to-first-value: PoVs that reliably land in weeks with measurable outcomes. Conversion: Strong PoV to MVP conversion rate (and clear roadmap to scale). Executive confidence: CXO trust built through crisp narratives + working systems. Reusable assets: Field-ready accelerators that reduce PoV cycle time quarter over quarter. Scalability: PoVs designed with production realities in mind (security, observability, cost, controls). Required Qualifications 8+ years of experience in full-stack engineering / solution architecture / technical consulting, with significant client-facing delivery. Demonstrated ability to build quickly under ambiguity and still maintain sound architecture instincts. Strong experience with modern AI stacks, including: LLMs / agent patterns: orchestration, tool-calling, planning/execution loops, memory patterns RAG & knowledge: embedding strategies, chunking, vector databases, retrieval evaluation Evaluation: offline + online evals, regression suites, safety tests/red-teaming basics Strong software engineering fundamentals: APIs, data pipelines, integration, distributed systems basics. Proficiency in Python + one of (TypeScript/Java/Go); comfortable across frontend + backend as needed. Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals. Exceptional communication: can translate technical complexity into business impact for senior stakeholders. Preferred Qualifications Proven delivery of GenAI/agentic solutions in production (not only prototypes). Experience integrating with enterprise platforms: ServiceNow, Salesforce, SAP, Microsoft (Graph/O365), Databricks/Snowflake, etc. Experience with security & governance for GenAI: data boundaries, access control, auditability, model risk, compliance evidence. Familiarity with LLMOps/AgentOps concepts: versioning, telemetry, drift monitoring, cost governance (FinOps). Domain depth in one or more focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media). Relevant certifications (cloud, security, data) are a plus. Core competencies (what distinguishes top performers) Executive presence: credible with CXOs; can run a room and drive decisions. Structured problem framing: quickly identifies the highest-leverage wedge and measurement plan. Builder mindset: ships working systems rapidly; demos are grounded in real integrations. Judgment & trust: knows where agents must be constrained; designs for safe autonomy. Repeatability: turns one-off wins into reusable playbooks and accelerators. Working model Travel: expected (client workshops, PoVs, exec meetings). Operates in tight pods with Sales, Industry leaders, BlueVerse product/platform teams, and delivery squads. Strong bias toward hands-on building (this role is not purely advisory). Benefits Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Why Keyrus, Why Now! Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value. Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes. At Keyrus, you'll work closely with clients to turn AI opportunities into production-ready solutions, connecting engineering expertise with real business needs. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role details • Location: United States (Remote) • Contract: Permanent, full-time What you'll architect As a Forward Deployed AI Engineer, you'll work directly with clients to take AI solutions from technical discovery through implementation, deployment, and adoption. You'll combine hands-on software engineering, enterprise integrations, cloud technologies, and AI capabilities to deliver solutions that work in real client environments. Your focus goes beyond writing code. You'll understand client challenges, define implementation plans, coordinate technical teams, and deliver measurable business results. Your responsibilities • Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements. • Translate business needs and approved architectures into practical implementation plans. • Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies. • Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions. • Own technical deployment and rollout within the agreed scope, ensuring reliable production performance. • Work closely with client teams to troubleshoot issues, support adoption, and improve implemented solutions. • Monitor performance, costs, and business outcomes while documenting reusable engineering practices. • Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements. Who you are You are a hands-on engineer with a strong consulting mindset who enjoys solving complex business and technical challenges. You develop production-quality code, understand enterprise integrations, and adapt solutions to real-world constraints. You are comfortable working directly with clients, managing evolving requirements, and taking ownership of technical delivery. You combine strong engineering skills with excellent communication, problem-solving, and collaboration. What you bring Experience • 5+ years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles. • Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions. • Experience building and maintaining backend services, APIs, and enterprise integrations. • Experience working with cloud platforms, deployment processes, and production environments. • Ability to translate business requirements into technical implementation plans. • Strong client-facing consulting experience, including communicating technical decisions and working with business stakeholders. Technical skills • Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages. • Experience with REST APIs, backend services, authentication, and enterprise integrations. • Hands-on experience with AWS, Azure, or Google Cloud. • Knowledge of Git, CI/CD, testing, containers, and production monitoring. • Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration. • Understanding of application security, system reliability, and cloud deployment practices. Nice to have • Experience developing production GenAI applications or agentic workflows. • Familiarity with LangGraph, MCP, OpenAI, Anthropic, or similar technologies. • Experience with Kubernetes, Docker, or infrastructure as code. • Background in backend, full-stack, data, or cloud engineering. • Experience delivering solutions in regulated or complex enterprise environments. • Previous experience in consulting, professional services, or client-embedded engineering roles. What makes you successful • You turn complex challenges into practical solutions. • You take ownership of technical delivery and integration. • You communicate clearly and collaborate effectively with clients and teams. • You deliver reliable solutions that create measurable business value. WHAT WE OFFER (KUS) A stimulating environment where you will be able to surpass yourself and discover new horizons. A strong culture of innovation and entrepreneurship. Health insurance for you and your family members. 401K plan. Monthly Wellness Allowance. 4 weeks of paid vacation; Language courses (French & English) Access to continuing education (in-house, conferences, events, courses, certifications, etc.) The expected base compensation for this position ranges from $135,000 to $155,000 USD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate. About Keyrus At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value. Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable: • Intelligence Foundations • Human in Command governance • Performance Steering With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time. AI does not transform businesses. Architected intelligence does. For more information:

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. The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP) - a PaaS offering -, which comprises necessary capabilities to store, transfer and analyze data, as well as running data & analytics products. In addition, ADP also serves capabilities for ML (ops) and GenAI / Agentic AI use cases. The Data Architect (hands on) will be responsible to shape the future ADP data offering (evaluate, design and implement technical platform capabilities), spanning data storage, data modeling, data integration, and analytics enablement. Moreover, they will advice local implementation teams how to best apply platform capabilities for effective / efficient local application built / use case implementation. The candidate should bring a deep understanding of data architecture (data modeling, data warehousing, and data governance), market leading data platform solutions (e.g. Databricks) and modern data engineering technologies. What you do (Hands on Data architect) Data Platform Strategy: Lead the migration of data workloads and data stores from on-premises infrastructure to MS Azure Cloud, ensuring alignment with Allianz's cloud strategy. Design, build, and test data architectures in an enterprise setup to ensure efficient transfer and storage of large amounts of data, maintaining information accuracy and security during data transfers. Stay updated with developments in data management, data platforms, and data engineering, providing guidance to cross-functional teams on data access and data integration, especially during major transfers, updates, or changes. Architecture Design: Develop and oversee data architecture designs that meet business requirements and strategic objectives. Ensure solutions are scalable, secure, and cost-effective. Act as a thought leader and expert on data modeling, data integration, and Data Platform capabilities, advising customers and internal teams on the latest technology and valuable implementation strategies within Allianz. Leverage data and analytics capabilities to create high-performing data services within the existing landscape, troubleshooting and solving technical issues with creativity and prior knowledge. Stakeholder Engagement: Collaborate with enterprise architects, area architects, and business requirement teams to ensure solutions meet business needs and strategic goals. Technical Leadership: Provide guidance and mentorship to junior architects and technical teams, fostering a culture of innovation and continuous improvement. Serve as the Data architect subject-matter expert for the entire department, offering strategic insights and leadership. Documentation and Compliance: Ensure thorough documentation of architecture designs and processes, maintaining compliance with Allianz standards and policies. Ensure adherence to industry standards and best practices in all processes, fostering innovation and efficiency in data management. Value Proposition: Drive initiatives that enhance the value proposition of Allianz's data solutions, focusing on expanding service capabilities and integrating new functionalities. Vet data platform providers and third-party services to ensure high-quality offerings for storage, compute, and data processing, while creating standard operating procedures and policy documentation for data transfer and storage. What you bring (Hands on Data architect) Bachelor's degree in Computer Science, Information Systems, or a related field. 8-10 years experience required with five years' experience as a Data Architect or similar role. Deep understanding of data architecture concepts, data modeling techniques, and data platform frameworks, with proficiency in designing and implementing data solutions that align with business objectives using popular platforms like Azure, and AWS . Knowledge of data platform engineering, data warehousing, and data lake / lakehouse design, with experience using major cloud computing services such as Microsoft Azure, Oracle Cloud Infrastructure (OCI), and Amazon Web Services (AWS). Ability to design scalable and robust enterprise architectures that integrate data pipelines and data technologies into existing systems, identifying integration points and ensuring interoperability with other enterprise applications, databases, and services. Strong data migration and data management skills, emphasizing data privacy and security, along with excellent problem-solving capabilities in a fast-paced work environment. Strong communication skills and willingness to collaborate with cross-functional departments and teams. Relevant industry certifications, such as Databricks, Microsoft Azure, or AWS, are highly desirable; proficiency in English is required. Experience with hybrid cloud environments. Familiarity with enterprise architecture and innovation strategies. Ability to work collaboratively in a dynamic, cross-functional environment. Knowledge of data governance, data quality, and metadata management Preferred business domain: Business knowledge of Life insurance domain 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

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud-accelerating mission outcomes for a high visibility program. As a Senior Google AI Engineer, you will serve as a hands on technical leader for AI solution delivery. You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments. Responsibilities include, but are not limited to the duties listed below: Architect and deliver end to end AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services-optimized for performance, cost, and maintainability. Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaC. Implement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/blue green rollouts, automated retraining, drift detection, and lineage). Apply secure by design patterns-VPC SC, private service access, CMEK, fine grained IAM, artifact signing, and secrets management-aligned to NIST , RMF, and FedRAMP baselines. Operationalize LLM/GenAI (RAG, tool use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW approved AI toolchains where appropriate. Partner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams. Contribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations. Requirements US citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferred. Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field. Advanced degree (Master's Degree or PhD) in AI/ML, Data Science, Computer Science, or a closely related discipline is preferred but not required, especially when balanced with substantial hands on experience (5+ years) in AI/ML solution development. 8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP). Proven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inference. Must possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire. Must possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hire. Proven experience with extracting data from SAP Enterprise Business Applications. Expert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/Sub. Practical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails. Proven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentals. Ability to design for security & compliance in DoW/Federal contexts (NIST , RMF, FedRAMP; Zero Trust principles). Hands on experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks. Experience integrating GenAI safely within IL5 environments and familiarity with available government AI platforms. Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

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

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 S&P Global The role: Lead, IT Service Operations The location: Dalas, TX (hybrid - 2 days onsite per week) Role & Responsibility Summary: As a Cloud Engineer, you'll be an integral part of our global team of Cloud Engineers to help manage client & internal environments hosted in AWS for our enterprise-grade applications in the Corporate Actions & Custody domain. The team is responsible for all the infrastructure and automation required to support continuous integration and continuous delivery both for client cloud (UAT and Production) environments and internal environments We foster an open, inclusive environment where all perspectives are valued. Our team is focused on driving innovation, leveraging cutting-edge AI technologies, and maximizing engineering efficiency. We prioritize clean architecture, real-time performance, and data quality. Core Technical Qualifications: Good knowledge of UNIX/Linux systems and technologies - including shell scripting, OS configuration and troubleshooting Good knowledge of the Java eco system, JEE applications and application servers e.g. JBoss, Oracle WebLogic, IBM WebSphere Understanding of messaging-oriented middleware especially JMS (e.g. IBM MQ, Active MQ) Hands on experience of working in the AWS cloud (AWS preferred) Knowledge of AWS Cloud formation/Azure DevOps/Terraform and Experience with configuration and deployment management in a scripting language Experience of supporting a high uptime/high availability (24x7) system Prior experience of Incident Management/Ticketing Systems (e.g. Jira, ServiceNow) and workflows Experience in source control systems (e.g. GITHub) - branching, hook scripting, access control, backup & recovery Good knowledge of cloud computing concepts AI & Productivity Tooling (Modern Skills): Good knowledge of GenAI tools (e.g. ChatGPT ) Familiarity with prompt engineering or using AI to automate documentation, scripting, monitoring Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage. Additional Preferred Qualifications: Proven experience in monitoring, analysing, and optimizing large-scale distributed systems in a cloud environment. Strong scripting and automation skills (PowerShell, Bash, Python) - bonus if paired with AI-based infrastructure tools. AWS certification or similar credentials are a plus. Ability to estimate usage costs and identify operational cost control mechanisms Experience with observability and monitoring platforms (e.g. Splunk, Datadog) Understanding of Continuous Integration and Continuous Delivery, concepts and tooling Experience of Springboot would be an advantage Soft Skills: 9+ years of experience as a cloud engineer. Strong problem-solving skills with a growth mindset and openness to AI-powered innovation. Excellent communication and cross-functional collaboration abilities. Capable of managing priorities and meeting deadlines in a fast-paced, continuously evolving environment. Occasional outside support hours will be required as part of an on-call rota to provide 24/7 cover Action Managed Services requests within defined SLAs Be familiar with operating in a challenging environment supported from different locations and should also have a strong appreciation of Development processes, tool sets and delivery infrastructure, and be comfortable working with multiple differing systems and tools. Bachelor's degree in computer science, preferably engineering graduate or equivalent Right to work requirements: This role is open only for candidates with indefinite right to work within the USA. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $125,000 - $155000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 16 The Role: Global Head of Cloud & Infrastructure Responsibilities and Impact: Lead S&P Global's Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all global business divisions Architect and operate S&P Global's hybrid, multi-cloud estate across Google Cloud, AWS, and Azure with 24 7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics Engineer resilient global networks spanning cloud interconnect, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE while embedding zero trust architecture for market-data and trading workloads Industrialize foundational GenAI capabilities enterprise-wide, building scalable AI-ready data platform foundations while strengthening trust, safety, and observability for agentic AI at scale Drive enterprise modernization through risk-based vulnerability management, secure software supply chain practices, and cyber-resilience partnerships with the CISO organization Deliver enterprise-wide commitments for cost, quality, performance, and availability through disciplined portfolio management while aligning architecture with M&A execution to accelerate integration and business value S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Include for roles that are bonus plan eligible, including sales commission plans. What We're Looking For: Basic Required Qualifications: 15+ years of technology leadership experience with minimum 5 years leading global cloud and infrastructure organizations of comparable scale and complexity Proven track record delivering enterprise cloud transformation and platform modernization at scale across hybrid, multi-cloud environments including orchestration platforms (such as Kubernetes, Docker Swarm, or OpenShift) and infrastructure as code tools (such as Terraform, Pulumi, or CloudFormation) Demonstrated experience leading global enterprise network organizations across cloud, data center, campus, and edge environments, including SASE/SSE modernization and zero-trust network access implementation Deep operating experience in highly regulated industries such as financial services, capital markets, ratings, or data analytics with regulatory compliance expertise Executive-level fluency working with regulators, external auditors, and enterprise risk functions with accountability for large-scale technology budgets and vendor portfolio management Bachelor's degree from accredited institution; advanced degree (MS, MBA, or equivalent) strongly preferred Additional Preferred Qualifications: Experience integrating technology capabilities post-M&A to accelerate value realization and optimize technology investments across diverse organizational structures Hands-on familiarity with platform engineering, CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps), and observability solutions (like Prometheus, Grafana, or DataDog) at enterprise scale Exposure to regulated data infrastructure requirements including SEC, ESMA, FCA, and DORA compliance frameworks with demonstrated ability to navigate complex regulatory environments Public speaking experience, board-level presentation skills, and established industry thought-leadership presence with prior collaboration experience working with hyperscaler executive teams (Google, AWS, Microsoft) on strategic partnerships What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - IFTECH102 - Senior Management (EEO Job Group)

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Job Description Job Description Senior Healthcare Data Modeler - EDW / Cloud Modernization Location: Remote, Continental U.S. Preferred Location: Central U.S. / Midwest Travel: Occasional Mot open to third parties Position Summary We are seeking a hands-on Senior Healthcare Data Modeler to support a large Enterprise Data Warehouse and cloud modernization initiative. This role will work with complex healthcare datasets and translate business requirements into scalable enterprise data models and solutions. The Senior Healthcare Data Modeler will own the design, governance, and evolution of conceptual, logical, and physical data models supporting the EDW and its modernization. The environment is transitioning from a legacy Teradata EDW toward modern Azure and Snowflake cloud architecture. The ideal candidate brings deep healthcare data modeling experience, expert SQL skills, strong data governance and metadata knowledge, and hands-on experience designing enterprise data models across Medicaid, Medicare, claims, provider, TPL, and member data. Responsibilities Data Architecture & Strategy Develop long-term data architecture strategies, standards, and roadmaps in collaboration with business and technical stakeholders. Lead data architecture, data modeling, and data movement initiatives supporting Medicaid, Medicare, and Commercial healthcare data. Work across healthcare subject areas including claims, provider, TPL, and member data. Define how logical designs translate into physical databases and how data flows through successive architectural layers. Maintain accurate documentation of the enterprise data architecture and environment. Data Modeling & Design Translate complex business requirements into scalable enterprise data models. Design and maintain conceptual, logical, and physical data models across staging, integration, and semantic/presentation layers. Develop dimensional models using Kimball star/snowflake, normalized OLTP/3NF, OLAP, and Data Vault modeling techniques. Implement Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, surrogate keys, and data classifications. Define primary and foreign keys, indexes, partitioning, constraints, and referential integrity rules. Create and maintain ERDs, data flow diagrams, and data model documentation using Erwin or comparable modeling tools. Data Governance, Quality & Compliance Ensure data architecture and modeling practices align with healthcare regulatory and security requirements. Oversee source-to-target mapping, data movement, interfaces, and data quality. Maintain data dictionaries, business glossaries, metadata, lineage documentation, and data modeling standards. Support classification and protection of PII and PHI in accordance with applicable healthcare data security requirements. Support Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration initiatives. Collaboration & Delivery Partner with Data Architects, ETL/Data Engineers, Business SMEs, BI Developers, and DBAs throughout the architecture and implementation lifecycle. Provide technical recommendations for scalable data warehouse, data mart, data mining, and analytics solutions. Address data challenges involving systems integration, compatibility, and multi-platform environments. Develop testing criteria to ensure the fidelity and performance of data architecture. Communicate risks and issues clearly to project and stakeholder teams. Cloud Modernization & Migration Support modernization of legacy Teradata data models to Azure and Snowflake. Contribute to target-state architectures involving Azure Synapse, Databricks Lakehouse, and Snowflake. Design models supporting Medallion architecture, including Bronze, Silver, and Gold layers. Work with Delta Lake and Parquet patterns. Assess existing data models for modernization, redundancy, performance, and optimization opportunities. Required Qualifications BS or MS in Computer Science, Business Information Systems, Engineering, or a related field. 10+ years of IT experience. 7+ years of data modeling, data strategy, and roadmap experience supporting large, complex healthcare environments. Experience implementing large-scale, end-to-end Data Management and Analytics solutions. 5+ years of healthcare data modeling experience involving Medicaid, Medicare, and/or Commercial healthcare data. 5+ years of experience with Erwin or comparable data modeling tools such as ER/Studio or SQL Developer Data Modeler. Expertise in conceptual, logical, and physical data modeling. Expertise with normalized OLTP, OLAP, MDM, and dimensional modeling techniques. Strong experience with star schemas, Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, and data classification. 5+ years of expert-level SQL experience, including complex analytic queries, stored procedures, DDL, DML, DCL, query optimization, and ANSI SQL. 5+ years of experience with Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration. Strong knowledge of HIPAA, PHI, PII, and healthcare data security requirements. Strong problem-solving, communication, influencing, and presentation skills. Ability to work independently in a fast-paced environment with multiple concurrent priorities. Preferred Qualifications State Medicaid EDW or MMIS experience. Experience with Medicaid federal reporting programs such as T-MSIS, PERM, MARS, or Quality of Care. Teradata Vantage experience and exposure to modernization of Teradata workloads to cloud platforms. Microsoft Azure experience, including Azure Data Lake Storage, Azure Data Factory, and Purview. Azure Synapse and/or Databricks Lakehouse experience. Snowflake experience, including data object design and performance tuning. Experience with Delta Lake, Lakehouse architecture, or Microsoft Fabric. Experience with Data Vault modeling. Power BI or Tableau experience. Hands-on ETL experience with Informatica, Azure Data Factory, or similar tools. Python or R experience. Exposure to AI/ML or GenAI tools used for data modeling, documentation, or metadata enrichment. Work Arrangement 100% remote within the Continental U.S. Central U.S. / Midwest candidates preferred. Occasional travel may be required. This role works across distributed and matrixed business and technology teams.

Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA with hybrid/remote opportunities. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Bridge the gap between OffSec and development by applying software design best practices. Lead technical exchange meetings (TEMs), participate in Discovery & Framing workshops, and maintain effective communication with cross-functional teams and stakeholders. Act as the primary subject matter expert and lead developer for custom offensive tooling, integrating disparate capabilities into a cohesive, mission-ready platform. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 5-7+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Experience with GitLab CI/CD (pipeline design, runners, artifact management) and AWS Cloud services (EC2, VPC, IAM, S3). Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $160,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job Description Job Description Description: At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You'll Love Working Here Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight. People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here. Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process. Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart. What You'll Do Working under the guidance of the MDM Technical Lead, you'll provide hands-on technical development and delivery support for MDM services: Use the Informatica MDM tool to combine source data from agency sources, applying required transformations, applying corrections to the source files, and adding new fields via the change request process. Support MDM development and operational activities using working knowledge of Informatica MDM. Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency. Implement MDM jobs by creating mappings, mapplets, sessions, and workflows. Work with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter. Schedule and monitor ETL/Informatica jobs in development, system testing, and production environments. Troubleshoot post-release production support issues and develop solutions. Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata. Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes. Participate in project discussions to document and recommend alternative technical solutions or requirements, and in unit, integration, and system testing. Requirements: What You Bring 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development. 3+ years of hands-on Informatica MDM implementation experience. Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs. SQL experience, with large MDM and DBMS enterprise relational platforms. Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Experience with Python programming for scripting, automation, testing, or data processing support. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. If your experience got you here another way, apply anyway. Preferred Qualifications Experience working in other MDM tools, including cloud-native MDM solutions. Experience working in State government, public sector, or regulated environments. Experience with Agile/Scrum sprint development and iterative/incremental delivery. Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data. Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake. Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality. Ability to operate in a telecommute environment and matrix organization with minimal direction. Come Build With Us At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment- apply today!

Job Description Job Description Description: At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You'll Love Working Here Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight. People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here. Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process. Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart. What You'll Do As the technical lead for, you'll own design, delivery, and day-to-day operations: Own MDM technical solution delivery, including review of technical documentation to design MDM solutions that meet business needs. Design MDM solution with security by design and privacy by design and align with the Chief Information Security Office (CISO) guidelines. Provide leadership and coordinate or lead work for Informatica Master Data Management and related MDM ETL delivery activities; provide project direction and assign work to MDM ETL Specialists. Use Informatica MDM tool to combine source data from agency sources, applying numerous transformations to the data that are required, applying corrections to the source files, and adding new fields via the change request process. Implement MDM jobs by creating mappings, mapplets, sessions, and workflows, working with ETL transformations including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter. Automate the staging of data by scheduling scripts to run at optimal times, and schedule and monitor ETL/Informatica jobs in development, system testing, and production environments. Develop proactive processes for monitoring capacity and performance tuning, and document workflows and technical specifications. Troubleshoot production support issues post-release deployment and produce solutions, and troubleshoot server or software issues in coordination with the State IT department. Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata, and use other software tools such as Python as necessary to enhance MDM and data integration. Work directly with the Quality Assurance and business team to support validation, defect resolution, and unit, integration, and system testing, and provide status updates and meet deliverables to Optum's leadership and the State Project Managers. Requirements: What You Bring 8+ years of experience in MDM, ETL, data integration, enterprise data platforms. 5+ years of hands-on experience with Informatica MDM and Informatica PowerCenter. Strong experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs. Strong SQL experience, with large MDM and DBMS enterprise relational platforms. Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Experience with Python programming for scripting, automation, testing, or data processing support. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. Bonus Experience Experience working in other MDM tools including cloud-native MDM solutions. Experience developing software or workflows in Python or other open-source tools. Experience working in State government, public sector, or regulated environments. Experience with Agile/Scrum sprint development and iterative/incremental delivery. Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data. Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies. Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality. Ability to operate in a telecommute environment and matrix organization with minimal direction. Come Build With Us At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment- apply today!

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.