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Key Deliverables: \n\n • This role focuses on designing cloud architectures primarily for Oracle Cloud along with AWS, Azure, frameworks, governance models, and cloud standards for the organization.\n, • The ideal candidate will have extensive experience partnering with business stakeholders and technical teams to understand requirements and translate them into scalable, secure, multi/hybrid‑cloud architectures.\n, • This role may require guiding engineering teams or supplementing their skill sets. A strong foundation in AI technologies supported on the platform is must along with on‑premises infrastructure is essential due to hybrid integrations and migration initiatives.\n, • Candidate should be able to demonstrate use of AI. The organization is also planning to expand Infrastructure‑as‑Code capabilities.\n\n \n Key Skills: \n\n • OCI: 6–9 years\n, • Azure / AWS / GCP: 1–2 years each (nice to have)\n, • AI technologies available on the any platform\n, • Hybrid Infrastructure: 4–6 years\n, • Cloud Networking: 4–6 years\n, • Cloud DevOps / Automation: 4–6 years\n, • Cloud Security: 2–3 years\n, • Cloud FinOps: 1–2 years\n, • Architecture Documentation (Visio or Abacus): 2–3 years\n, • Deep expertise in cloud platforms, services, governance, frameworks, and best practices.\n, • Proficiency in OCI is mandatory. The architect will focus on developing architectures, standards, and governance models for the OCI platform. Experience across other cloud providers is a plus for multi‑cloud initiatives.\n\n \n Extensive experience with cloud servers and environments with configuration, patching, network and VLAN configuration, backups, system monitoring and alerts. \n\n • Cloud Platforms, Oracle Cloud (OCI), AWS, Azure, GCP\n, • Database Technologies: Oracle RAC, ASM, Data Guard, Golden Gate, RMAN, Database licensing\n, • Product Architecture and roadmap, its assessment\n, • Linux or network administrator skills a plus\n, • Platforms: Exadata, ExaCC, ExaDB-D, Exascale, DBaaS, OEM\n, • Architecture: High Availability, Disaster Recovery, Multi-Cloud Architecture.\n, • Automation: Terraform, Ansible, API/CLI automation\n, • SRE & DevOps: Monitoring, Observability, SLAs/SLOs/SLIs\n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n CrowdStrike is seeking an Engineering Manager to join our Proactive Security team within Cloud Security Group. This role will lead our Proactive Protection team, focusing on helping our customers to detect and prevent threats in cloud environments through advanced detection techniques and methodologies, before they can cause harm. \n \n You will collaborate closely with cross-functional teams, product management, and security researchers to drive detection capabilities while building a team and managing direct reports. \n \n We're seeking innovative problem-solvers who can take ownership of complex technical challenges across our platform. This is an opportunity to work at unprecedented scale with cutting-edge cloud technologies while making a direct impact on organizations worldwide protecting them from sophisticated threats. \n \n This role is hybrid, on-site at one of the posted locations. Candidates should be comfortable visiting the office twice a week once the development center is established. \n \n About the Cloud Proactive Security Team: \n\n • \n A global team of engineers that develops and maintains mechanisms to prevent cloud misconfigurations and security risks before deployment - The team builds intelligent prevention capabilities that identify and block insecure cloud configurations. \n • \n Develops and maintains proactive security controls that protect Kubernetes clusters, container registries, serverless functions, and cloud workloads from emerging threats in multiple cloud vendors as well as private data centers. \n • \n Creates developer-friendly tools and integrations that embed security prevention directly into CI/CD pipelines, GitOps workflows, and Kubernetes deployment processes. \n\n \n What You Will Do: \n\n • \n Manage a team of engineers building and optimizing the core pipeline that protects cloud workloads, containers, and Kubernetes clusters. \n • \n As an engineering manager, you will help drive and deliver on both roadmap and technical strategy, and you will be instrumental in hiring, retaining, and growing a team of highly talented engineers. \n • \n Help to architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second \n • \n Build and Lead a Global Team. Manage a distributed team of high-talented cloud specialized software engineers and technical leads, fostering a collaborative environment while coordinating across time zones to deliver high-quality products. \n • \n Cross-Functional Collaboration. Partner with product management and engineering teams to align cloud proactive capabilities with customer needs, directly influencing CrowdStrike's Proactive detection platform evolution and organizational strategy. \n • \n Ensure Quality and Accuracy. Own validation processes for proactive vulnerability detections, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. \n • \n Must be able to work 3+ days per week on site from our New York office. \n\n \n What You’ll Need: \n\n • \n Must be a U.S. Citizen or US Permanent Resident. \n • \n BS/MS in Computer Science or related field, or equivalent work experience \n • \n 7+ years of experience in Software Engineering roles with at least 3+ years in management positions. \n • \n Security and/or Cloud Security experience is required \n • \n Understanding of cloud security concepts such as CSPM, CWPP, and CNAPP \n • \n Exposure to cloud security products, including product direction for AI/ML, XDR, SIEM, SOAR, or related cybersecurity domains. \n • \n Familiarity with container and Kubernetes security (build-time and runtime) \n • \n Solid design and problem-solving skills with a demonstrated passion for engineering excellence, quality, security, and performance \n • \n Broad grounding in all aspects of distributed systems development \n • \n Experience with Kafka, Cassandra, ElasticSearch technologies \n • \n Experience building systems at cloud scale and container orchestration technologies such as Kubernetes \n • \n Proficiency with at least one major cloud platform (AWS, Azure, or GCP) \n • \n Experience with modern programming languages such as Go, Python, Java, C++, Rust or similar languages \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n • \n Exceptional communication skills, with the ability to convey complex technical concepts clearly to both executive and engineering audiences, in writing and verbally \n • \n Strong cross-functional collaboration skills, with a proven ability to partner effectively across engineering, product management, support, and sales engineering \n • \n Demonstrated success recruiting and hiring strong engineering talent \n • \n Proven track record of mentoring and developing engineers, helping them grow in their careers and technical skills \n\n \n Bonus Points: \n\n • \n Remote/distributed multi-team leadership experience \n • \n Experience with organizational scaling and process optimization \n\n \n #LI-JC1 This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.\n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n As part of CrowdStrike's Risk Analytics team, you'll be at the forefront of cybersecurity innovation, elevating our industry-leading "stopping breaches" mission to unprecedented levels of sophistication and visibility. You'll architect and build the foundational risk intelligence platform that powers next-generation security insights. Leveraging advanced algorithms and AI, you’ll deliver comprehensive visibility into risk compounding, attack path analysis, and posture scoring across the entire attack surface. \n \n This is a hybrid role requiring 2-3 days/week in our Midtown, Manhattan Office. \n \n Technical Excellence & Innovation: \n In this pivotal role, you'll harness cutting-edge technologies to engineer robust backend services that seamlessly analyze massive data streams, execute complex risk calculations, and deliver intelligent remediation automation. Working primarily with Golang microservices architecture and multiple database ecosystems, you'll build scalable solutions that protect organizations worldwide from evolving cyber threats. \n \n Leadership & Impact: \n As a technical leader, you'll drive end-to-end product delivery, architect scalable solutions, and collaborate with cross-functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management. \n \n What You'll Do: \n\n • Backend Architecture: Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability\n, • Developer Tools: Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem\n, • Infrastructure Design: Architect supporting systems including databases, real-time data pipelines, and monitoring solutions\n, • Cross-team Collaboration: Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation\n, • Operational Excellence: Configure advanced monitoring, alerting, and maintain high availability for production services\n, • Continuous Innovation: Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement\n, • Technical Mentorship: Guide junior engineers and contribute to technical decision-making processes\n, • Service Reliability: Ensure robust, healthy service operations with proactive maintenance and incident response capabilities\n\n \n What You'll Need: \n\n • 8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data\n, • Experience developing robust, distributed systems using frameworks like Apache Spark, Apache Flink, and Kafka to handle high-velocity streaming events and large-scale batch ETL workloads.\n, • Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python—we'll help you master our stack!)\n, • Proven microservices experience with designing scalable REST APIs and distributed communication patterns\n, • Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP) for provisioning, monitoring, and optimization\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n, • System troubleshooting expertise for complex distributed architectures with focus on performance and reliability\n, • Engineering best practices experience including testing strategies, code reviews, and resilient architecture design\n, • Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions\n, • Bachelor's degree in Computer Science/Engineering or equivalent professional experience\n, • Strong foundation in algorithms, data structures, and system design principles\n\n \n Bonus Points: \n\n • Expertise in tuning and managing batch processing (Spark) and/or streaming processing (Flink, Spark Streaming) at scale\n, • Graph database knowledge and experience with graph structures (nodes, edges, relationships)\n, • Cassandra and CQL experience with wide-column databases\n, • Cybersecurity industry experience or relevant certifications\n, • Docker and Kubernetes experience\n, • Open source contributions or technical community involvement\n\n \n #LI-JC1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

Asepha is based in New York and Toronto, building agentic solutions that re-imagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by venture capital funding and trusted by multiple Fortune 50 healthcare organizations, we’re scaling rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping our engineering efforts, making key architectural decisions and writing code to expand our AI product line. You will play a pivotal role in balancing speed of execution with product quality, and have the opportunity to wear multiple hats, from frontend and backend development to devops and customer interactions. Your work will have a direct impact on improving pharmacy workflows and health outcomes. Learn more at www.asepha.ai/careers Join our mission: We’re building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start is clear, fast, and predictable. Asepha is the context graph for the therapy-start journey, connecting the fragmented steps that slow down medication access: intake, coordination, utilization management, and clinical services. Role and Responsibilities: • Design and build autonomous agents that handle complex, multi-step pharmaceutical workflows end-to-end, • Architect communication systems that coordinate across organizational boundaries, • Build robust orchestration layers for long-running tasks with graceful failure handling and human-in-the-loop escalation, • Develop frameworks that let agents interact with external pharmacy systems, databases, and APIs, • Implement evaluation and observability infrastructure to monitor agent behavior in production, • Integrate with healthcare data standards and legacy pharmacy systems, • Scale systems to handle real-time processing across multiple pharmacy networks Qualifications: • 5+ years of experience in software engineering with strong backend focus, • Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems, • Experience with web frameworks and service-oriented architectures (FastAPI, Flask, or equivalent) and designing clean, versioned APIs, • Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability, • Experience building for cloud infrastructure (Azure, AWS, or GCP), • Experience building and deploying agentic AI systems. You understand tool use, planning, memory, and orchestration patterns, • You've built systems where the hardest part wasn't the code, it was figuring out what to build, • You've shipped something end-to-end with minimal guidance and owned the outcome, • Located in Manhattan and can commute to our downtown office 3 days per week Perks: • Competitive compensation package, including $130-200k annual salary + stock options, • Full medical, dental, vision, and extended health, • Unlimited days off to maintain a healthy work-life balance + 2 weeks of company-wide office closure during the holidays, • 2 annual off-site trips with the team, • Complimentary breakfast and lunch provided daily in the office. Dinner also provided if staying past 7pm Note: Only candidates selected for an interview will be contacted. Asepha is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Applied AI Architect (Data, Systems & Governance) | Brillio Architect the Foundations of Enterprise AI Brillio is looking for an Applied AI Architect who can turn ambitious AI strategies into secure, scalable, enterprise-ready systems. You'll help determine how AI solutions should be designed, what models should power them, how enterprise data should flow through them, and how they can operate safely within highly regulated environments. About Brillio Brillio is one of the fastest-growing digital technology service providers, helping Fortune 1000 organizations turn disruption into competitive advantage through innovative digital adoption. Our professionals combine deep technology expertise, design thinking, and a strong commitment to client success to deliver transformative outcomes. Brillio is recognized year after year as a Great Place to Work®, giving talented technology professionals the opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges. The Role As an Applied AI Architect, you'll own the technical foundations that make enterprise AI possible. You'll bring together data architecture, AI/ML systems, cloud platforms, enterprise integration, security, privacy, and governance to design solutions that can move beyond experimentation and into production. Role Responsibilities: • Design target architectures and scalable data pipelines for enterprise AI systems, • Architect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelines, • Evaluate and select AI models based on use case, performance, cost, latency, security, and governance requirements, • Design AI solutions that integrate with enterprise platforms including EHRs, core banking systems, CRM platforms, data lakes, and data warehouses, • Define and implement AI governance, compliance, privacy, and responsible AI frameworks, • Translate regulatory requirements into concrete technical and architectural controls, • Embed security, privacy, IAM, and data residency requirements from day one, • Design production environments across platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI, • Partner closely with AI Builders and Value Engineers throughout the lifecycle — from discovery through production, • Establish the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, • Help move AI solutions from proof-of-concept into secure, scalable production environments Job Requirements: • Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect, with hands-on experience designing and deploying AI solutions., • Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures., • Experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms., • Experience evaluating AI models and understanding the tradeoffs between commercial and open-source models, as well as RAG versus fine-tuning., • Experience with platforms and frameworks such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain., • Experience integrating AI with enterprise systems and APIs. Healthcare experience with FHIR/HL7, Epic, or Oracle is a plus, as is financial services experience with payment data and core banking platforms., • Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance., • Experience working within regulated environments, with exposure to requirements such as HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable., • Experience with enterprise security concepts including PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security., • Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks., • Strong communication skills and the ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions. If you're an architect who understands both the possibilities of AI and the realities of enterprise technology, security, data, and regulation, this is an opportunity to have a major impact. Join Brillio and help build the foundations for enterprise AI.

Title: Azure Solution Architect - Data and AI Location: New York, NY (Hybrid) Mode of Interview: Interview may be conducted in-person in NYC office Client is looking for an experienced Azure Solution Architect specializing in Data and AI to join our growing architecture team. This role will work with prospective and existing clients to understand business and technical requirements, shape high-value Microsoft Azure solutions, identify opportunities to apply Acuity accelerators, and provide technical ownership from presales through to successful delivery. Our solution architects balance their time across client delivery, presales (RFI/RFP), and innovation: approximately 50% client deliverable, 25% presales engagement, and 25% proposition development, market insight, thought leadership, and continuous learning. Responsibilities • Partner with Sales, Technical Leads, Delivery Managers, and client stakeholders to shape and deliver innovative data and AI solutions., • Explore customer needs from both technical and functional perspectives, translating business objectives into secure, scalable Azure architectures., • Lead end-to-end presales solution architecture for cloud data platforms, analytics, AI, governance, and supporting technologies., • Design elegant, pragmatic solutions that are commercially viable, deliverable, and aligned to client outcomes., • Contribute to the evolution of Acuity’s data, analytics, and AI accelerators, reference architectures, and reusable propositions., • Provide technical oversight during delivery to ensure the agreed architecture is realized effectively., • Create and present compelling proposals that clearly communicate business value, return on investment, and delivery approach., • Evaluate emerging technologies, monitor market trends, and help incorporate relevant advances into Acuity’s architecture practice., • Develop and maintain strong relationships with senior stakeholders, including C-suite decision makers., • Manage client expectations, support delivery confidence, and help ensure high levels of client satisfaction. Ideal qualifications and skills • Proven experience as an Azure Solution Architect with a strong focus on Microsoft Data and AI solutions., • Current, hands-on experience with Azure data and AI technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Spark, Python, GitHub, Azure Data Factory, Azure Data Lake, Power BI, Azure AI services, and Microsoft Purview., • Strong data analysis, modelling, integration, governance, and architecture skills., • Good understanding of Azure infrastructure, security, identity, networking, monitoring, and operational considerations., • Experience with CI/CD practices, automated testing, DevOps ways of working, and modern engineering standards., • Commercial Agile delivery experience, ideally across consulting, enterprise, and mid-market environments., • Ability to estimate, cost, and shape solutions while understanding the impact of architectural choices on project delivery., • Experience working with organizations ranging from small and medium-sized customers to large enterprises., • Excellent verbal, written, and presentation skills, with the ability to communicate clearly with technical and non-technical audiences., • Microsoft certification is preferred, particularly Azure Solutions Architect Expert or relevant Data and AI certifications We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. _

Role: AI Lead Architect – RAG & Python Location: NYC, NY/Charlotte, NC We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are looking for a hands-on AI Lead Architect with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python, LLMs, cloud platforms, and enterprise technology architecture. The role involves designing and delivering scalable AI solutions, building end-to-end RAG pipelines, integrating LLMs and vector databases, developing Python APIs and services, and deploying AI applications into production. The candidate will also establish AI governance, security, monitoring, evaluation, and LLMOps practices. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within NYC/Charlotte, NC is $125k-$150k/year & benefits (see below).. The Role Responsibilities: • Lead the architecture and delivery of enterprise AI and Generative AI solutions., • Design and implement RAG pipelines, including ingestion, chunking, embeddings, retrieval, reranking, and response generation., • Develop production-grade Python applications, APIs, and AI workflows., • Work with LLMs, prompt engineering, AI agents, tool calling, and model evaluation., • Use cloud platforms such as AWS, Azure, or Google Cloud., • Implement Docker, Kubernetes, CI/CD, MLOps, and LLMOps practices., • Ensure AI solutions are secure, compliant, observable, scalable, and cost-effective., • Lead technical discussions, mentor engineering teams, and collaborate with business stakeholders. Requirements: • Experienced in software engineering, architecture, data engineering, or machine learning., • 3+ years of hands-on experience delivering AI or Generative AI solutions., • Strong Python development experience., • Proven experience building and deploying RAG applications., • Knowledge of LLMs, embeddings, semantic search, vector databases, APIs, and cloud architecture., • Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar., • Familiarity with Docker, Kubernetes, CI/CD, databases, security, and automated testing We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 20 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

A leading New York-based structured credit investment firm is building a next-generation scalable computing, data, and analytics platform to significantly increase the speed and capacity of its quantitative investment processes. We are seeking a senior engineer with hands-on experience building large-scale computing platforms, data infrastructure, and analytics systems. The strongest candidates will have worked on technology designed to process large volumes of data and computationally intensive analytical workloads across multiple users, models, and applications. This is not primarily an application-development or desk-modeling role. The focus is on building the underlying infrastructure that quantitative researchers, developers, and investment professionals will use for pricing, valuation, forecasting, modeling, and analytics. Key Responsibilities • Architect and build scalable computing and analytics infrastructure for computationally intensive quantitative workloads., • Design distributed and parallel computing frameworks capable of substantially increasing processing capacity and speed., • Build scalable data pipelines, data services, APIs, and analytical infrastructure supporting multiple models and applications., • Develop reusable computational libraries and services used across quantitative development teams., • Leverage cloud computing, distributed systems, Kubernetes, containers, and modern data-engineering technologies., • Improve performance, scalability, reliability, deployment, testing, and monitoring of a large quantitative platform., • Partner with quantitative researchers and investment professionals to translate complex analytical requirements into scalable production systems. Core Qualifications • 5+ years building large-scale computing, data, or analytics platforms., • Demonstrated experience with distributed computing, parallel processing, high-performance computing, or large-scale data processing., • Strong background in data engineering and analytics infrastructure, including pipelines, data services, and high-volume processing., • Experience architecting shared platforms used by multiple developers, models, or applications., • Strong Python and/or C++ engineering skills., • Experience with cloud infrastructure such as GCP, AWS, or Azure., • Experience with technologies such as Kubernetes, Docker, CI/CD, distributed processing, workflow orchestration, and automated testing. Highly Desirable Experience building infrastructure for quantitative finance, fixed income, structured credit, pricing, valuation, risk, scientific computing, or other computationally intensive environments. The ideal candidate combines scalable systems engineering, data engineering, and quantitative computing and has built infrastructure that materially increased an organization's analytical capacity and speed. Keywords:Software Engineer, Python, Fixed Income Analytics, Cloud Platforms, CI/CD pipelines, ML and AI financial applications Please send resume to Jim Geiger jeg@analyticrecruiting.com

Job Title – Data Modeler Location: Jersey City Work mode: Hybrid (4 days a week onsite) Position Overview We are seeking a skilled Data Modeler with expertise in designing, implementing, and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual, logical, and physical data models that support insurance operations, including policy administration, claims, underwriting, billing, and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools, deep knowledge of insurance data processes, and the ability to work closely with business and technical stakeholders to ensure data integrity, scalability, and compliance. Key Responsibilities Data Modeling & Design • Design, develop, and maintain conceptual, logical, and physical data models for insurance applications and systems (claims, policy, underwriting, billing, reinsurance, etc.)., • Build and maintain enterprise data models aligned with insurance industry standards (e.g., ACORD)., • Define data dictionaries, metadata, and relationships to support data governance and consistency., • Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems. Insurance Domain Expertise • Translate business requirements from claims, policy administration, underwriting, actuarial, and finance teams into scalable data solutions., • Support regulatory and compliance reporting requirements (e.g., IRDAI, IFRS, Solvency II)., • Ensure models capture core insurance processes such as claims intake, adjudication, settlement, renewals, endorsements, and cancellations. Collaboration & Stakeholder Engagement • Partner with business analysts, data architects, and developers to deliver insurance-specific data solutions., • Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data., • Collaborate with actuaries, claims specialists, and policy teams to validate data definitions and usage. Governance & Standards • Enforce data governance and quality standards across insurance systems., • Document business rules, lineage, and data definitions for core insurance entities., • Conduct impact analysis for changes in insurance processes and data flows. Qualifications Experience • 6+ years of experience as a Data Modeler or Data Architect, preferably in the insurance industry., • Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools)., • Proven expertise in modeling insurance data entities such as Policy, Customer, Premiums, Claims, Payments, Underwriting, Reinsurance, and Agents/Brokers., • Experience working with data warehouses, data lakes, and cloud platforms (AWS, Azure, or GCP). Skills • Strong knowledge of insurance domain data flows and regulatory needs., • Expertise in conceptual, logical, and physical modeling., • Proficiency in SQL for data analysis and validation., • Familiarity with insurance standards (e.g., ACORD, ISO) is a plus., • Understanding of data governance, metadata management, and lineage tracking. Education • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. Preferred Certifications (not mandatory) • Erwin Data Modeler Certification., • Insurance certifications (e.g., AINS, CPCU) are highly desirable., • Data management certifications (e.g., CDMP). Key Attributes • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Detail-oriented with a focus on accuracy and compliance. Ability to thrive in a fast-paced insurance environment with multiple priorities Base compensation Range : 120,000-140,000 For more information on benefits and what we offer please visit us at _

Job Description The Senior System Architect for an enterprise level Gen AI solution will be responsible for defining and evolving the end-to-end architecture of the enterprise AI platform supporting CFO, Treasury, Risk, and Finance use cases. The role drives platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering while ensuring alignment with enterprise standards and regulatory requirements. The architect will serve as the technical authority for the AI ecosystem that this application covers, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, document intelligence, structured data intelligence, model orchestration, and platform modernization initiatives. Key Responsibilities: • Own the target-state architecture and technical roadmap for the AI platform., • Design scalable, resilient, and secure enterprise AI solutions., • Define reference architectures, standards, patterns, and best practices., • Lead architecture reviews, technology selection, and solution governance., • Drive modernization initiatives across AI, cloud-native, and data platforms. Required Skills & Experience • 10+ years of software architecture and enterprise platform engineering experience., • 5+ years designing AI/ML, GenAI, or advanced analytics platforms., • Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations., • Deep understanding of: ○ Generative AI and LLM architectures ○ Retrieval Augmented Generation (RAG) ○ Agentic AI frameworks (LangGraph, LangChain, MCP) ○ Vector databases and embeddings ○ Distributed systems and microservices ○ Cloud-native architecture and OpenShift/Kubernetes • Strong experience with: ○ Python ○ REST APIs ○ Oracle and enterprise data platforms ○ Redis and caching technologies ○ CI/CD and DevSecOps practices Nice to Have Skills & Experience • Experience with: ○ MCP-based tool integration architectures ○ Enterprise Knowledge Base solutions ○ Document Intelligence and OCR platforms ○ AI governance and model risk management frameworks ○ OpenAI, Azure AI, or enterprise LLM ecosystems • Prior experience leading large-scale platform modernization initiatives.

Responsibilities: • Define, publish, and maintain architecture standards across application, data, infrastructure, and integration domains., • Establish reusable reference architectures and enforce adherence through solution reviews and design checkpoints., • Collaborate with domain architects and engineering leads to ensure consistency and alignment across platforms., • Proficient with AI Technologies and its upcoming standards., • Design scalable, resilient, secure, and cost-optimized cloud solutions, primarily on Azure and AI Technologies., • Develop cloud governance frameworks, landing zones, and implementation guides., • Lead hybrid and multi-cloud integration strategies (Azure, GCP, AWS)., • Evaluate emerging technologies (AI, observability, data platforms) for enterprise readiness., • Maintain a technical debt inventory across the enterprise portfolio., • Partner with product and platform teams to prioritize remediation efforts based on risk, cost, and strategic value., • Integrate technical debt metrics into planning and funding cycles., • Chair the Architecture Review Board (ARB) and serve as the final gatekeeper for all technology procurement., • Review incoming tech requests for alignment with standards, security, and operational readiness., • Collaborate with procurement, legal, and cybersecurity teams to embed architectural governance into sourcing workflows., • Implement IaC using Terraform, Azure ARM, or Pulumi., • Build CI/CD pipelines using GitHub Actions, GitLab CI/CD, or Jenkins., • Automate configuration management with Ansible, Chef, or Puppet., • Apply cloud security best practices (IAM, RBAC, WAF, NSG, Key Vault, Defender for Cloud)., • Implement zero-trust architectures and align with CIS, NIST, ISO 27001., • Optimize cloud environments using Azure Advisor, Cost Management, and FinOps principles., • Support application rationalization and lifecycle management through architecture-led assessments., • Partner with ServiceNow APM and CMDB teams to ensure accurate inventory and lifecycle governance., • Contribute to enterprise dashboards and reporting frameworks for architecture KPIs., • Work closely with cross-functional teams (Network, DevOps, Cybersecurity, Finance, Procurement)., • Translate complex technical concepts into business-friendly language., • Participate in strategic planning, cloud strategy sessions, and enterprise decision-making. Required/ Preferred Skills : • Azure Cloud Platform 7–9 years, • GCP (Google Cloud) 1–2 years (preferred), • AWS / OCI 1–2 years (preferred), • Hybrid On-Prem / Cloud 4–6 years, • Cloud Networking 4–6 years, • Cloud Security 2–3 years, • Cloud FinOps 1–2 years, • Microsoft Visio 2–3 years, • ARB / Governance Leadership 3+ years, • Technical Procurement Oversight 2+ years Preferred Certifications: • Cloud Certifications: Azure Solutions Architect Expert, AWS/GCP Architect (Nice to have), • TOGAF (Enterprise Architecture Framework) preferred, • ITIL (Service Management)

Azure Cloud Solutions Architect Location: NYC NY On-site/Remote/Hybrid: Hybrid (3 days onsite, 2 days remote) Duration: 12 Months nterview Process: Webcam or in person interview Job Description: Certification Preferred: Microsoft Azure Solutions Architect Expert, TOGAF, ITIL Position Summary: The Client is seeking a strategic and technically adept Enterprise Architect to lead the development of enterprise-wide architecture standards, drive cloud modernization, manage technical debt, and oversee the Architecture Review process for all technology procurement. This role is critical in ensuring architectural integrity, reducing redundancy, and aligning technology investments with business strategy while also providing deep technical leadership in Azure and hybrid cloud environments. Key Responsibilities: 1. Enterprise Architecture Standards & Governance • Define, publish, and maintain architecture standards across application, data, infrastructure, and integration domains., • Establish reusable reference architectures and enforce adherence through solution reviews and design checkpoints., • Collaborate with domain architects and engineering leads to ensure consistency and alignment across platforms., • Proficient with AI Technologies and its upcoming standards. 1. Cloud Architecture & Platform Strategy • Design scalable, resilient, secure, and cost-optimized cloud solutions, primarily on Azure and AI Technologies., • Develop cloud governance frameworks, landing zones, and implementation guides., • Lead hybrid and multi-cloud integration strategies (Azure, GCP, AWS)., • Evaluate emerging technologies (AI, observability, data platforms) for enterprise readiness. 1. Technical Debt Management • Maintain a technical debt inventory across the enterprise portfolio., • Partner with product and platform teams to prioritize remediation efforts based on risk, cost, and strategic value., • Integrate technical debt metrics into planning and funding cycles. 1. ARB Leadership & Technology Procurement Oversight • Chair the Architecture Review Board (ARB) and serve as the final gatekeeper for all technology procurement., • Review incoming tech requests for alignment with standards, security, and operational readiness., • Collaborate with procurement, legal, and cybersecurity teams to embed architectural governance into sourcing workflows. 1. Infrastructure as Code (IaC) & Automation • Implement IaC using Terraform, Azure ARM, or Pulumi., • Build CI/CD pipelines using GitHub Actions, GitLab CI/CD, or Jenkins., • Automate configuration management with Ansible, Chef, or Puppet. 1. Security, Compliance & Performance Optimization • Apply cloud security best practices (IAM, RBAC, WAF, NSG, Key Vault, Defender for Cloud)., • Implement zero-trust architectures and align with CIS, NIST, ISO 27001., • Optimize cloud environments using Azure Advisor, Cost Management, and FinOps principles. Required Skills & Experience: • Skill Area Years of Experience, • Azure Cloud Platform 7–9 years, • GCP (Google Cloud) 1–2 years (preferred), • AWS / OCI 1–2 years (preferred), • Hybrid On-Prem / Cloud 4–6 years, • Cloud Networking 4–6 years, • Cloud Security 2–3 years, • Cloud FinOps 1–2 years, • Microsoft Visio 2–3 years, • ARB / Governance Leadership 3+ years, • Technical Procurement Oversight 2+ years Preferred Certifications: • Cloud Certifications: Azure Solutions Architect Expert, AWS/GCP Architect (Nice to have), • TOGAF (Enterprise Architecture Framework) preferred, • ITIL (Service Management)

Position Summary We are looking for an experienced Security Architect with strong Application Security expertise who can lead security across a portfolio of complex technology initiatives within BBVA CIB US. This is a hands-on security leadership role combining security architecture, application security and project security management. The successful candidate will work with engineering and business teams from early design through production, reviewing solution architectures, identifying security risks, defining security requirements and ensuring agreed controls are implemented. The role requires someone who can manage multiple initiatives simultaneously, prioritize security activities based on risk, and independently drive projects through the security lifecycle while partnering with Corporate Security Architecture, Engineering, Application Development, Infrastructure, Cloud, Risk and business stakeholders. Key Responsibilities • Perform security architecture reviews and threat modeling for applications, APIs, cloud services, infrastructure and third-party solutions., • Evaluate architecture patterns covering authentication and authorization, IAM, encryption, secrets/key management, APIs, network segmentation, data protection, cloud security and secure integration patterns, • Validate that approved architecture and security controls have been implemented as designed before production deployment., • Own the security workstream for multiple concurrent technology initiatives, establishing security deliverables, dependencies, priorities and milestones and proactively driving them to completion., • Manage a portfolio of security engagements simultaneously, prioritizing activities based on business criticality, architecture complexity, security risk and delivery timelines., • Identify security-related project risks and dependencies early, escalate blockers when necessary, and ensure security activities do not become a late-stage impediment to delivery., • Participate in project governance meetings and provide security guidance to project teams., • Review Security Models produced by Corporate Security Architecture., • Assess proposed architectures for alignment with BBVA security standards and U.S. regulatory requirements., • Provide delegated Security Architecture and Application Security support for local initiatives., • Identify security gaps and recommend compensating controls where appropriate., • Review initiatives that may fall outside the standard lifecycle process, including third-party platforms, trading venues, and standalone SaaS solutions., • Validate that approved security controls are implemented as designed prior to production deployment., • Serve as the primary security advisor for assigned projects., • Collaborate with Corporate Security Architecture, Enterprise Architecture, Technology Engineering, Application Development, Infrastructure, Risk, Compliance, and business stakeholders. Qualifications and Experience • Bachelor's degree in Information Security, Computer Science, Information Technology, Engineering, or related field (or equivalent experience)., • 10+ years of experience in Information Security, Security Architecture, Application Security, Infrastructure Security, or Cybersecurity Engineering., • Experience participating in technology projects and implementing security controls., • Strong understanding of network security, cloud security, identity and access management, application security, and infrastructure security., • Experience performing security risk assessments and architecture reviews., • Familiarity with financial services security requirements and regulatory expectations., • Excellent written and verbal communication skills., • Ability to influence cross-functional teams without direct authority., • Experience in banking or financial services., • Knowledge of cybersecurity and regulatory frameworks including NIST Cybersecurity Framework (NIST CSF), NIST 800-53, ISO 27001, CIS Controls, New York DFS Cybersecurity Regulation (23 NYCRR Part 500), SEC cybersecurity requirements, NFA cybersecurity requirements, FFIEC Guidelines, EU DORA (Digital Operational Resilience Act), SWIFT Customer Security Controls Framework (CSCF), FedLine security requirements, CHIPS-related security requirements, and CRI Profile, or similar frameworks., • Experience reviewing cloud architectures (Azure, AWS, or GCP)., • Knowledge of AI security, third-party risk, and secure software development practices., • Professional certifications such as CISSP, CCSP, GCSA, CCSK, CSSLP, SANS certifications (GWEB) and others., • Strong competencies in Security Architecture, Project Security Governance, Risk Assessment, Application Security, Infrastructure Security, Cloud Security, Regulatory Compliance, Security Control Validation, Stakeholder Management, Analytical Thinking, Problem Solving, and Communication & Collaboration, • Spanish proficiency is a plus All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $185,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

AI Architect, AI & Automation-Insurance About the Role The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: • Experience architecting and implementing AI/ML solutions across multiple domains, including:, • Generative AI and Large Language Model (LLM) based solutions, • Predictive and prescriptive Machine Learning models, • Computer Vision, • Natural Language Processing (NLP) and Conversational AI, • Intelligent Document Processing (IDP / iOCR), • Agentic AI systems and multi-agent orchestration., • Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring., • Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques., • Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP)., • Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures., • Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines., • Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch., • Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI., • Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance., • Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures., • Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations., • Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation., • Travel to client sites and for practice work efforts is required on an as needed basis. Additional Consulting Responsibilities • Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation., • Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion., • Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area., • People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations., • Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant., • Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities., • Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action. Basic Qualifications • Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required., • Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer), • Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services., • Strategic mindset and the ability to lead and develop other team members., • Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals., • Excellent relationship-building abilities., • Ability to collaborate with resources in global delivery model., • Experience in leading programs using Agile and/or hybrid methodologies., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • MBA or equivalent advanced degree, Industry-related certification preferred., • Creative problem solver, • Strategic mindset and the ability to collaborate with other team members For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off EEO/About Us : About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Hello, This is Prathmesh, US IT Recruiter at Yorkshire Global Solutions Inc. We are currently hiring for below role. Please read full job description carefully Role: Full Stack .Net AWS Cloud Developer Location: Newark, NJ (Hybrid) 3 days / Onsite, 2 days Remote Experience: 12+ Years Visa: Except H1B and OPT/CPT Contract: W2 Only (No Chance of C2C / 1099) In Person Interview Client: State of NJ Short Description: Looking for a versatile and pragmatic Full Stack AWS Cloud Developer to architect, build, and maintain scalable cloud/on-prem hybrid applications. Complete Description: The Full Stack AWS Cloud Developer will architect, build, and support scalable cloud and on-premise hybrid applications. This role requires expertise in both front-end and back-end development, including UI design, API development, data integration, AWS cloud services, and secure coding practices. The developer will participate in requirements gathering, implement enhancements, reduce technical debt, ensure application security, and work closely with cross functional teams to deliver reliable, compliant solutions. • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Node.js, Python, .NET, JavaScript), • Build and deploy cloud-native services on AWS using Lambda, API Gateway, ECS, S3, DynamoDB, RDS, and more, • Implement CI/CD pipelines using Azure Pipelines, • Use GitHub for version control and source code management., • Solid understanding of relational databases including SQL Server, Oracle, and Postgres., • Participate in requirements discussions and transform them into useful applications in line with service goals., • Support, maintain and enhance existing applications and fix issues., • Collaborate with peers to create the most effective solution possible using the .Net framework and Microsoft tech stack., • Take responsibility for identifying and reducing technical debt in existing code structure while boosting application effectiveness and improve performance., • Deliver error-free code that complies with secure coding practices., • Able to provide technical assistance for web, mobile, and desktop applications., • Incorporate data storage systems and preserve code quality., • Ensure application security and scalability, following AWS best practices and Well-Architected Framework, • Collaborate with cross-functional teams including DevOps, UX, and product managers to deliver end-to-end solutions, • Monitor and optimize performance using CloudWatch, X-Ray, and other Observability tools, • Document architecture and workflows using Confluence, diagrams, and version-controlled README files, • Hands-on experience with AWS services including Lambda, EC2, S3, IAM, and DynamoDB, • Knowledge of authentication/authorization patterns (OAuth2, Cognito, JWT), • Strong debugging, testing, and performance tuning skills, • Knowledge of frontend frameworks like Next.js, Vue, or Svelte Required / Desired Skills • C# and .NET Framework- Required 6 Years, • ASP.NET, ASP.NET MVC using Internet Information Services (IIS)- Required 6 Years, • XML/json; WebAPI and RESTful Web Services- Required 6 Years, • Jira, GitHub, Azure DevOps- Required 6 Years, • JavaScript (TypeScript and React Optional)- Required 6 Years, • Oracle and SQL Server- Required 6 Years, • Visual Studio- Required 6 Years Note: This is a W2 role only. Please Do not Apply - 1099/C2C Candidate

BCI-IT, Inc has an immediate opening for a Sitecore AI Architect to own the Sitecore platform, and its AI capabilities end to end for this engagement — architecture, implementation, and integration of AI-driven features into the Sitecore ecosystem. This is a hands-on (IC) Individual Contributor / Architect role with our client: you’ll be the single point of accountability for how Sitecore is architected, how content / personalization AI is integrated, and how the platform scales and performs in production, not a role that hands design off to separate implementation teams. We can work on a W2/1099 basis only. No C2C or subcontractors. Open for USC, Perm Resident, GC, OPT EAD/STEM. No H1 or sponsorship available. Role is hybrid with the need to be in the office 1-2 days a week. Candidates local to the NY/NJ area are preferred. What You’ll Do • Own the end-to-end architecture of the Sitecore platform for the project (XM Cloud, Content Hub, Experience Platform, or on-prem/hybrid Sitecore, as applicable), • Design and implement AI-driven capabilities within Sitecore — content generation/assistance (e.g., Sitecore Stream), AI-powered personalization, recommendation engines, and search relevance, • Architect integrations between Sitecore and external AI/ML services (Azure OpenAI, AWS Bedrock, or similar), as well as internal data and APIs, • Define the content modeling, templating, and headless/composable architecture (JSS, Next.js, or similar) to support AI-enhanced experiences, • Design for performance and scale: caching strategy, CDN configuration, rendering strategy (SSR/SSG/ISR for headless implementations), • Own DevOps and deployment architecture for Sitecore (Sitecore Cloud deployment pipelines, environment management, CI/CD), • Establish governance around AI-generated content — quality control, brand/compliance guardrails, human-in-the-loop review workflows, • Define security, data privacy, and access control architecture, particularly around AI features that touch customer or proprietary data, • Collaborate directly with stakeholders, content teams, and engineering teams to translate business goals into technical architecture, • Mentor developers on Sitecore and AI integration best practices as the implementation team scales Required Qualifications • 7+ years of experience with Sitecore, including architecture-level ownership of at least one large-scale implementation (not just development/configuration work), • Hands-on experience with modern Sitecore products — XM Cloud, Content Hub, and/or Sitecore Experience Platform (XP) — and headless/composable architecture (JSS, Next.js), • Demonstrated experience integrating AI/ML capabilities into a CMS or digital experience platform — content generation, personalization engines, recommendation systems, or AI-assisted search, • Experience with AI platforms such as Sitecore Stream, Azure OpenAI Service, AWS Bedrock, or comparable LLM/AI integration tooling, • Strong understanding of content architecture, taxonomy, and templating in support of both human- and AI-generated content, • Solid full-stack development background (C#/.NET for Sitecore backend; React/Next.js or similar for headless front end), • Experience with cloud infrastructure and DevOps for Sitecore deployments (Azure or AWS), including CI/CD pipeline design, • Understanding of data privacy, security, and governance considerations specific to AI features in enterprise/regulated environments, • Excellent communication skills — this role represents architectural decisions directly to stakeholders and leads cross-functional implementation teams, • Sitecore certification(s) strongly preferred (e.g., Sitecore Certified Developer, XM Cloud certifications)

Job title: Junior AI Security Engineer Location: Irving Place, NY Rate: $50/hour on W2 Type: Contract Must: In-person interview This is an excellent opportunity for an early-career technical professional interested in applying AI, machine learning, Python, and automation to real-world cybersecurity challenges, including threat detection, security log analysis, anomaly detection, and operational efficiency. Working alongside senior engineers and an Enterprise Architect, you will help develop, test, optimize, and support AI-powered security tools while gaining valuable experience with enterprise security technologies and modern engineering practices. Key Responsibilities AI/ML Development & Security Analytics • Assist in developing, testing, tuning, and monitoring AI/ML models supporting cybersecurity threat detection and anomaly identification., • Analyze security logs, alerts, and telemetry to identify suspicious activity, unusual patterns, and potential security threats., • Prepare, clean, organize, and label security datasets for machine learning model training and evaluation., • Support model performance monitoring, testing, and continuous improvement. Python Development & Security Automation • Develop and maintain Python scripts to automate security-related tasks and workflows., • Assist in integrating AI/ML capabilities into existing cybersecurity tools and security operations pipelines., • Support automation initiatives that improve security monitoring, threat analysis, and operational efficiency., • Troubleshoot scripts, data-processing workflows, and integrations with guidance from senior engineers. Required Qualifications • Bachelor's degree in Computer Science, Cybersecurity, Data Science, Information Technology, or a related discipline, or equivalent practical experience., • Working knowledge of Python programming, including scripting and basic automation., • Foundational understanding of software development, data processing, or technical problem-solving., • Strong interest in artificial intelligence, machine learning, cybersecurity, and security automation., • Ability to analyze technical information, troubleshoot problems, and learn new technologies., • Strong attention to detail, documentation skills, and analytical thinking., • Excellent communication and collaboration skills., • Willingness to learn from senior technical professionals and contribute to enterprise engineering initiatives. Preferred Qualifications • Familiarity with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow., • Basic understanding of cybersecurity concepts, including networking, logging, common threats, and security monitoring., • Exposure to SIEM or SOAR platforms and security operations workflows., • Familiarity with cloud environments such as Microsoft Azure, AWS, or Google Cloud Platform., • Experience working with log data, telemetry, security alerts, or anomaly-detection techniques., • Academic projects, internships, or personal projects involving Python, AI/ML, cybersecurity, or automation., • Relevant certifications such as CompTIA Security+, Microsoft Azure Fundamentals (AZ-900), or comparable credentials.

Senior Consultant Data Engineer (L4) About Vivanti Vivanti is a home for high-performing technologists who drive measurable impact for clients. Our mission is to transform businesses and build a smarter, more connected world through the power of data, cloud, and modern technology. Global enterprise leaders rely on us to design, architect, and deliver cutting-edge data and AI solutions. We provide an environment where ambitious engineers thrive—offering continuous learning, diverse client engagements, strong mentorship, and the platform to deliver high-value work. Role Summary As a Senior Consultant, your mission shifts toward management enablement, commercial awareness, and team leadership. You ensure the overall engagement succeeds and is well-regarded, taking accountability not just for your own work, but for the deliverables of the entire team. What You'll Do • Establish quality frameworks and engineering standards across projects., • Manage key client relationships and mitigate delivery risks., • Provide technical leadership and design scalable data solutions., • Lead learning sessions and share technical expertise across teams., • Lead project engagements, delegate tasks, and mentor team members., • Identify business growth opportunities and expand existing client accounts., • Champion the Vivanti brand and help shape new market offerings. What We’re Looking For We are seeking proactive problem-solvers with strong critical thinking skills and a passion for data engineering. Whether you have prior technical experience or a strong foundational analytical background, we value curiosity, adaptability, and a drive to learn. Ideal candidates demonstrate: • Proactive mindset with the drive to take ownership of data engineering deliverables independently., • Commitment to technical enablement, skill sharing, and achieving relevant cloud/data certifications such as SnowPro Core, Google Cloud Digital Leader, MS Azure Fundamentals, and AWS Certified Cloud Practitioner., • Ability to build holistic business domain knowledge and communicate technical solutions to peers and clients., • Strong personal brand awareness and an interest in supporting Vivanti's commercial enablement and team success., • Demonstrated proficiency in SQL, Python, AWS, Azure, GCP, Databricks, Snowflake, GIt, CI/CD, ML/AI, Spark, Airflow, ETL/ELT, • 6–8 years of hands-on experience in data engineering. Perks We invest in our people by providing comprehensive professional development, clear career progression, and an inclusive culture. • Gain access to Vivanti Academy, our proprietary knowledge platform and internal training resources., • Receive direct guidance and career support through structured mentorship., • Earn fully funded paid professional certifications across major cloud and data platforms., • Connect with colleagues through regular team socials, events, interest groups, and gatherings., • Enjoy a flexible hybrid work schedule with the freedom to choose your days working from home or in the office., • Fuel your workday with coffee, tea, and premium snacks provided daily in the office. Benefits • Access comprehensive medical coverage with 80% firm-sponsored premiums for employees and registered dependents., • Receive 100% employer-covered dental and vision plan options extending to your entire family., • Utilize a $3,000 Health Reimbursement Account to support out-of-pocket medical expenditures., • Build long-term security through our retirement plan with a 4% competitive company match., • Enjoy flexible work-life integration with 20 days of paid time off per year along with 10 company holidays., • Stay active and mobile with an annual complimentary CitiBike subscription., • Take advantage of pre-tax commuter reimbursement benefits for daily transit needs., • Benefit from dedicated paid parental leave options designed to support expanding families., • Protect your family's financial future with comprehensive group life insurance options. How to Apply If you are looking to accelerate your data engineering career in a collaborative, growth-focused environment, we would love to hear from you. Submit your application today to join the Vivanti team.

Help build the cloud platform behind one of the fastest-growing hedge funds in the industry. Our client is a technology-driven, multi-strategy hedge fund managing more than $10 billion in AUM, with ambitious growth plans and a modern cloud-first, hybrid infrastructure strategy. As only the third engineer joining the Cloud & SRE function, this is a rare opportunity to become a technical leader within a small, high-calibre team responsible for shaping the firm's cloud platform and engineering standards. This is a hands-on engineering role with significant ownership, influence and visibility across the business. Unlike many infrastructure roles, you won't spend your time delivering repetitive BAU work. The firm's managed service providers own the operational heavy lifting, allowing the internal engineering team to focus on architecture, automation, platform evolution and the technically challenging initiatives that create long-term business value. The Opportunity • You'll partner directly with Engineering, Security, Investment Technology and business stakeholders to design, build and continuously evolve a highly automated cloud platform supporting a rapidly growing global investment firm., • You'll be expected to lead technically—driving architectural decisions, championing engineering best practices, introducing new technologies where appropriate, and delivering cloud platforms that are scalable, secure and built to last., • This is an ideal opportunity for an engineer who enjoys owning complex technical problems from concept through production and wants to make a genuine impact within a fast-moving organisation. What You'll Be Doing • Design, build and evolve cloud infrastructure across both AWS and Azure., • Lead the delivery of cloud-native platforms using Infrastructure-as-Code, automation and modern engineering practices., • Architect Kubernetes-based container platforms, microservices infrastructure and cloud-native application environments., • Drive improvements across automation, CI/CD, platform reliability, observability and operational resilience., • Evaluate emerging cloud technologies and influence platform strategy through thoughtful technical leadership., • Partner with internal stakeholders and external MSPs to deliver complex infrastructure initiatives while maintaining exceptionally high engineering standards., • Define technical standards, architecture patterns and reusable infrastructure that enable the business to scale efficiently. We're Looking For Engineers Who Have • 5-10+ years' experience designing and engineering cloud infrastructure within demanding production environments., • Deep expertise across AWS, Azure, Terraform, Ansible, Docker and Kubernetes., • Strong programming and automation skills using Python, PowerShell and/or Bash., • A solid understanding of cloud networking, Kubernetes architecture, security, IAM and modern infrastructure design., • Experience building CI/CD pipelines and applying DevOps and Infrastructure-as-Code, • The confidence to lead technical initiatives, influence architectural direction and work directly with senior stakeholders., • Excellent communication skills and a genuine passion for engineering excellence, automation and continuous improvement. Why Join? This is a unique opportunity to join an investment firm at a pivotal stage in its growth, where you'll have the autonomy to shape the cloud platform rather than simply support it. You'll work alongside highly capable engineers in a collaborative, low-bureaucracy environment where technical excellence is valued, good ideas are implemented quickly, and your contributions will have a direct and lasting impact on the firm's technology strategy. The role is based in New York and operates a five-day onsite model, reflecting the highly collaborative nature of the engineering team. Outstanding compensation and benefits package, and the opportunity to become a key technical leader within one of the industry's fastest-growing hedge funds.

Pay $160,000 annually Location Remote Summary Seeking an experienced Senior Security Architect to support the design, implementation, and continuous improvement of security architecture across cloud environments, enterprise applications, and infrastructure. This role will focus on enhancing cloud security posture, identity privilege models, API security, and integrating security into development pipelines. The ideal candidate will possess deep expertise in cloud security, vulnerability management, and zero trust principles, with a passion for tackling complex security challenges in a dynamic environment. Requirements • Bachelor’s degree in a technical field or equivalent experience, • 6+ years of relevant security experience, with at least 1+ year in a senior or lead capacity, • Proven hands-on experience securing AWS and/or Azure environments, • Familiarity with CNAPP/CSPM platforms and cloud security tools, • Knowledge of vulnerability management, patching, and remediation processes, • Experience with application security principles (SAST, DAST, SDLC), • Proficiency in scripting and automation (Python, PowerShell, Terraform), • Understanding of Zero Trust architecture, network segmentation, and cloud networking, • Relevant certifications such as CISSP, CEH, GIAC, or ISSAP preferred, • Strong communication skills and ability to work independently in a fast-paced environment, • Ability to collaborate with technical and non-technical stakeholders Responsibilities • Support secure architecture pattern implementation across AWS and Microsoft Azure, • Drive cloud security posture enhancements through integration of CNAPP with native cloud tools, • Collaborate with Security Operations and development teams to embed security controls into pipelines, • Lead vulnerability management, patching, and threat modeling initiatives, • Support IAM, PAM, and least privilege access models implementation, • Assist in security architecture reviews, threat assessments, and design validation, • Integrate telemetry into SIEM platforms and support security monitoring efforts, • Develop and maintain secure configuration baselines and reference architectures, • Promote a zero trust security culture across engineering and product teams, • Stay current with security trends, threats, and emerging technologies, • Partner with engineering leaders to incorporate security into product roadmaps Benefits • Opportunity to work on challenging security projects and advance your expertise, • Remote work flexibility, • Competitive salary and potential for career growth within a dynamic organization

Role :- Cybersecurity IGA & SSO Architect Location :- Jersey City, NJ(Onsite) W2C2C Note :- Need only USC and GC Note :- pls share the email submission immediately after submitting on the portal. Years of Experience • 10+ years of experience designing, architecting, implementing, and leading enterprise Identity Governance & Administration (IGA) and Single Sign-On (SSO) solutions., • Proven experience delivering large-scale IAM transformations across cloud, on-premises, and hybrid environments. General Description • Serve as the Subject Matter Expert (SME) for Identity Governance, Access Management, Authentication, and Federation technologies., • Define enterprise IAM strategy, target architecture, operating models, and governance frameworks aligned with business and security objectives., • Lead customer workshops, architecture assessments, discovery sessions, and solution design engagements., • Collaborate with security, infrastructure, application, cloud, and business teams to deliver scalable identity governance and access management solutions., • Assess existing IAM environments and define modernization roadmaps focusing on automation, compliance, identity lifecycle management, and Zero Trust principles., • Provide architectural governance, solution reviews, technical leadership, and implementation oversight for IGA and SSO initiatives. Technical Requirements • Extensive experience designing and deploying Identity Governance solutions using Saviynt, Microsoft Entra ID Governance, or equivalent platforms., • Strong expertise in identity lifecycle management including provisioning, de-provisioning, birthright access, role management, certifications, access requests, and SoD controls., • Experience designing Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), governance groups, and entitlement management frameworks., • Deep understanding of SSO, authentication, authorization, federation, and identity protocols such as SAML 2.0, OAuth 2.0, OpenID Connect, SCIM, Kerberos, LDAP, and WS-Federation., • Hands-on experience with Microsoft Entra ID, Okta, Ping Identity, ForgeRock, or similar IAM platforms., • Design High-Level Design (HLD) and Low-Level Design (LLD) documents for IAM solutions supporting cloud, on-premises, and hybrid architectures., • Lead application onboarding strategies for SaaS, custom, legacy, cloud, and enterprise applications., • Experience integrating IAM platforms with Active Directory, Entra ID, HR systems, ServiceNow, MFA solutions, SIEM tools, and enterprise applications., • Expertise in governance reporting, compliance management, certification campaigns, access reviews, and audit remediation activities., • Strong understanding of Zero Trust Architecture and modern identity-centric security models., • Experience developing integration solutions using REST APIs, web services, SCIM, PowerShell, java, or other automation technologies., • Knowledge of regulatory and compliance frameworks including SOX, GDPR, HIPAA, PCI-DSS, ISO 27001, NIST, and CIS Controls., • Ability to support RFPs, solution proposals, architecture reviews, and customer-facing technical discussions. Soft Skills • Excellent Verbal and written communication skills in English., • Ability to present solutions to clients in person and remotely if needed., • Good documentation skills that will enable creation of design documents for the technical solutions proposed., • Excellent problem-solving skills., • Good collaboration skills in working with virtual and distributed teams. Certifications • Good to have relevant IAM certifications such as:, • Saviynt L100, L200 trainings, • Microsoft Azure Security Engineer, • AZ- 900 Azure Fundamentals, • Educational Qualifications, • University degree in IT or/and IT Security

Summary Seeking a seasoned Principal Software Engineer to lead the modernization of our proprietary research and data collection applications. This role offers the opportunity to oversee a transition from monolithic systems to microservices architecture, adaptation of AI tooling, and to provide strategic leadership while remaining actively involved in hands-on development. The ideal candidate will possess a strong full stack background, experience in modern cloud environments, and a passion for integrating AI features into scalable, secure applications. Join a dynamic team dedicated to innovation, excellence, and making a tangible impact globally through investigative technology. Requirements • 7 to 10 years of full stack development experience with C#/.NET, JavaScript, React, and Python, • 3 to 5 years of leadership experience- either driving a teams technical direction or leading a team, • Proven ability to design scalable, secure applications with cloud deployment (Azure preferred), containers, and DevOps practices, • Hands-on experience integrating AI/machine learning into production systems, • Strong leadership, mentoring, and code review skills, • Excellent communication skills for technical and non-technical audiences, • Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred), • Comfortable maintaining legacy C#/.NET systems while modernizing with newer stacks Responsibilities • Lead the transition from monolithic architecture to microservices, guiding technical strategies and delivery, • Architect, build, and maintain scalable, secure applications across the front end and back end, • Support legacy systems while pioneering integration of modern JavaScript (React) and Python stacks, • Implement secure APIs, data models, and reliable services following best SDLC and DevOps practices, • Monitor system performance, reliability, and address production issues proactively, • Mentor and review code for a small team of engineers, fostering best practices and technical growth, • Define architectural approaches that balance scalability, cost, and security, • Collaborate with product, design, and stakeholders to translate business needs into effective technical solutions, • Lead initiatives to integrate AI features into applications, running proof-of-concept projects and sharing workflows to expand team capabilities Compensation info: • For contract-to-hire an hourly rate of $100-115 hr/w-2; for direct hire $200,000-225,000 annual salary

Senior AI Software Engineer is required to design and build secure, production-ready AI solutions for one of the top five law firms in the US and most prestigious legal organisations globally. With a market leading budget invested in AI, technology and innovation, the firm is building serious engineering capability around Generative AI and creating innovative AI solutions that will fundamentally change how its attorneys serve clients and operate at scale. Location: New York or Chicago - Hybrid 3 days per week. (can't sponsor H1B, muts be eligable to work) This is an opportunity to work at the forefront of Generative AI, LLMs, RAG, AI agents and cloud engineering, taking sophisticated AI solutions from experimentation and evaluation through to production deployment and monitoring. You’ll join a growing Innovation Engineering function and work alongside engineers, data scientists, innovation leaders and attorneys to solve complex, high-value problems. You’ll develop AI-powered products supporting areas such as document analysis, summarisation, legal research and diligence, while helping establish reusable AI engineering standards and architecture across a global organisation. The position offers a base salary of $176,000–$264,000, alongside comprehensive benefits, paid time off, retirement benefits and ongoing learning and development opportunities. Key skills required for the Innovation AI Developer • 4+ years of relevant experience across technical, professional services or legal environments, ideally within a law firm or similarly complex or regulated organisation., • Strong Python development skills together with proficiency in SQL, APIs, databases and structured and unstructured data., • Hands-on experience building applications using LLMs and Generative AI, with technologies such as OpenAI, Azure OpenAI, Hugging Face, LangChain, LangFlow or comparable frameworks., • Strong experience designing and implementing RAG pipelines and AI agents, including vector databases such as Pinecone and/or knowledge graph-backed architectures., • Experience designing secure, scalable AI solutions within Microsoft Azure., • Familiarity with Docker, Kubernetes and CI/CD; experience with Azure AI Studio, Azure Cognitive Search and Azure Cosmos DB would be advantageous., • Experience developing LLM evaluation frameworks using Promptfoo, OpenAI Evals, LangSmith or similar tooling., • Experience building accessible internal AI applications using Retool, Streamlit or Gradio., • Understanding of AI security, privacy and governance requirements when working with highly sensitive information., • Ability to lead technical discovery, quantify ROI, establish acceptance criteria and communicate complex technical concepts to non-technical stakeholders., • Bachelor’s degree required, preferably in Computer Science or a related discipline., • Strong communication and stakeholder management skills, with the ability to influence technical decisions and support the development of other engineers. What you’ll do as an Innovation AI Developer • Design and build secure internal AI products and workflows using LLMs, vector databases, orchestration frameworks and modern UI technologies., • Develop RAG pipelines, AI agents and intelligent applications supporting document analysis, diligence, summarisation and legal research., • Architect resilient AI solutions on Microsoft Azure, collaborating with infrastructure and security teams across cloud, on-premise and hybrid environments., • Take AI products through the complete engineering lifecycle, from experimentation and prototyping through evaluation, production deployment and monitoring., • Build sophisticated evaluation frameworks measuring accuracy, robustness, safety, business value and use-case alignment., • Partner with attorneys, business leaders and technical stakeholders to identify high-value AI opportunities and turn complex requirements into practical products., • Advise on prompt engineering, model selection, architecture and evaluation methodologies., • Build reusable libraries, technical documentation and solution patterns to accelerate AI development across the firm., • Evaluate emerging AI technologies, open-source frameworks, vendor platforms and third-party applications., • Support AI pilots, demonstrations, user training and feedback programs while contributing to internal knowledge sharing and thought leadership., • Collaborate across Innovation, engineering and data science teams and help coordinate technical workstreams. Why this role? This is a chance to join a top-five US law firm that is making AI and technology a major strategic priority, this isn’t an environment where AI is confined to small-scale proofs of concept — the ambition is to build secure, scalable technology that can be deployed across a sophisticated global legal business. You’ll have the opportunity to build real-world, production-grade Generative AI products in an environment where security, accuracy and engineering quality are critical. The combination of LLMs, RAG, AI agents, Azure and complex proprietary data creates significant technical depth and the opportunity to solve problems where AI can have meaningful commercial impact. For an AI engineer looking to apply emerging technology at serious scale, this offers the combination of substantial investment, sophisticated use cases, high-calibre technical teams and direct access to senior legal and business stakeholders. Opus Resourcing acts as an employment agency with respect to permanent employment. 📩 Apply now or message us for more details. Referrals always welcome! #AIJobs #GenerativeAI #LegalTech #PythonJobs #NewYorkTech

JOB TITLE: AI Principal Engineer REPORTS TO: Engineering & Product Leadership, Silverside.AI Role Type: Full-time hybrid; contract-to-hire with a 30-day mutual evaluation period Location: New York, NY (hybrid, regular in-office presence) Position Summary Silverside.AI is seeking an AI Principal Engineer to own architecture and technical direction for its New York engineering pod. This is a hands-on architecture and leadership role focused on designing, building, and scaling the applications and pipelines that power Silverside's AI-driven video and content production systems and agentic workflows. The ideal candidate is a strong senior technical individual contributor, roughly 4–7 years of professional experience, who has already begun mentoring others, designs systems with real architectural conviction, and communicates effectively in client and internal meetings. Prior VP or extensive people-management experience is not required; this is an opportunity for a high-potential senior engineer to step into formal technical leadership of a high-performing contractor pod while remaining deeply hands-on. The AP Principal Engineer will set technical direction for a team of senior full-stack developers, drive modular system design, and help shape the product roadmap for the Silverside Experience Engine. Essential Duties & Responsibilities • Own architecture and technical direction for the Silverside New York engineering pod, providing clear system design, hands-on mentorship, code reviews, and day-to-day technical oversight so the team delivers high-quality work aligned with product and company goals., • Architect and build scalable full-stack applications, with a strong emphasis on robust backend systems (Python / FastAPI and related modern frameworks), that power AI-driven video and content production pipelines and agentic workflows., • Break complex AI production and agentic workflow challenges into clean, modular, maintainable systems for generation, processing, optimization, and delivery., • Integrate AI/ML models, fine-tuned image and video models, generation APIs, and proprietary workflows into reliable production pipelines., • Set and enforce development standards, testing practices, and deployment discipline across the pod., • Collaborate closely with product, design, and engineering peers to ship full applications and continuously improve AI content systems and internal tooling., • Optimize performance and scalability for high-volume video and media processing workloads., • Troubleshoot and resolve issues in live production environments with urgency and clarity., • Contribute directly to Silverside's growing AI content and agentic workflow ecosystem supporting major enterprise clients., • Present technical architecture, system design decisions, and solution approaches with clarity and confidence in internal roadmap discussions and, when needed, in client or partner meetings., • Partner with C-suite and product leadership on technical prioritization and the evolution of the core platform. Other Duties and Responsibilities • Provide meaningful, though not primary, client-facing technical presence as needed to support sales, partner, or account conversations. Required Knowledge, Skills, and Abilities • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience., • 4–7 years of professional full-stack development experience, with meaningful hands-on work building production systems involving AI, machine learning, creative media, video, or content generation pipelines., • Strong backend proficiency in Python and modern frameworks (FastAPI, Flask, or Django), with experience designing and operating scalable APIs and services., • Solid secondary frontend skills in contemporary frameworks (React, Svelte, or similar) sufficient to collaborate on and occasionally contribute to user-facing AI tools and interfaces., • Demonstrated ability to design modular, maintainable systems and to discuss architecture with clarity and genuine passion., • Hands-on experience integrating AI/ML models or generation APIs into production workflows, ideally in creative, media, or video contexts., • Experience mentoring or coaching other engineers and raising the bar on code quality, testing, and engineering practices., • Strong written and verbal communication skills, with comfort presenting technical ideas to both technical and non-technical stakeholders, including in client or sales-adjacent settings., • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and modern deployment practices., • Preferred (Nice-to-Have), • Experience with video/media tooling such as FFmpeg, OpenCV, or cloud rendering services., • Prior work in creative industries, AI-generated content, marketing technology, or enterprise digital production environments. Physical Demands • n/a Salary & Benefits: For candidates in New York, the base salary range for this role at the time of posting is $200,000 to $225,000. For candidates in smaller, mid-Atlantic markets, the base salary range for this role at the time of posting is $170,000 to $220,000. The salary an employee or prospective employee is paid within this range will depend on factors such as but not limited to: internal compensation of current employees in similar roles, market considerations, budgetary considerations, level of responsibility, background, experience, and qualifications. Full-time employees enjoy a competitive benefits package for you and your dependents to ensure a healthy lifestyle. Our benefit offering includes: medical, dental, vision, basic and supplemental life & AD&D, 401(k) with company match, short-term and long-term disability, HSA, and FSA. Additional Information: Silverside AI is an Equal Opportunity Employer and participant in the US Federal E-Verify program. At this time, we are not accepting resumes or candidates from third-party vendors.

The Team: Enterprise Solutions (ES) Technology is a powerful combination of world-class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world-class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing the cost of ownership of our technology estate. Responsibilities and Impact: • We are seeking a senior technology leader to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial-services estate., • This is a hands-on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes., • You will work directly with the Head of Technology to shape and refine strategy, stress-testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run., • You will get involved early in complex or high-risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop., • You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management, and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains., • You will balance long-term strategy with near-term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade-offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. What We’re Looking For: Basic Required Qualifications • 25+ years of technology leadership experience in tier-1 banking, capital markets, or other highly regulated, mission-critical environments, with hands-on engineering expertise and the ability to code and engage deeply with technical teams., • Proven expertise in enterprise architecture and technology strategy, including defining multi-year roadmaps, reference architectures, design standards, and architectural governance for complex financial services platforms., • Strong technical depth in distributed, event-driven, data-intensive systems, cloud platforms (AWS, Azure, GCP), security, resilience, regulatory compliance, and large-scale production environments., • Deep domain knowledge of financial services and emerging technologies, including banking operations, regulatory reporting, data platforms, AI/analytics in production, and modern architectural paradigms such as agent-based systems, knowledge graphs, and semantic data models. Additional Preferred Qualifications: • Strategic thinking and sound judgment, with the ability to balance long-term vision, regulatory requirements, operational realities, and business outcomes., • Influential leadership, capable of driving decisions, alignment, and engineering excellence through credibility, collaboration, and expertise rather than formal authority., • Exceptional communication and stakeholder management, able to articulate complex technical concepts, trade-offs, and risks clearly to executives, clients, regulators, and engineering teams., • Coaching and mentoring mindset, raising the capability of senior engineers and architects through hands-on guidance, design reviews, and practical problem-solving.

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets. For more information on the company, please visit our or . About the role We are seeking an experienced Engagement Lead / Principal Architect to lead a strategic data-architecture and transformation engagement. The role combines senior leadership, delivery governance, enterprise data architecture and executive communication. You will be accountable for mobilising the engagement, establishing the delivery controls, coordinating stakeholders across business domains, resolving contested ownership decisions and ensuring that all deliverables meet the agreed quality standard. Working closely with the Data Mesh / Enterprise Architect, you will own and defend the target-state conceptual architecture, lead executive recommendations and shape the next phase of investment. The successful candidate will be comfortable operating at both strategic and delivery levels, including addressing access dependencies, stakeholder availability, technical complexity and regulatory exposure. Work Location: New York City, NY (Hybrid, 3 days in a Week) Key responsibilities • Secure read-only access to SQL Server system metadata and stand up the approved analysis workspace and repository within the first two weeks; this gate governs the whole plan., • Agree the RACI, standards, templates and working cadence with Mizuho, and lock the fortnightly delivery-leadership review and the escalation path into the architecture board., • Map stakeholders and secure a single named coordination point per business domain (a stated dependency of the proposal, and the primary schedule risk)., • Own the risk, issue and dependency log; escalate stakeholder-availability slippage early rather than absorbing it into float., • Chair the DACI forum for contested and multi-domain items. Apply the stated position: exactly one accountable owner plus explicit contracted consumers, never diffuse co-ownership., • Quality-gate every phase exit against the agreed key exits before deliverables reach Mizuho., • Own the target-state conceptual architecture narrative jointly with the Data-Mesh / Enterprise Architect, and defend it at the Mizuho architecture board., • Author the executive summary and recommendations (slide deck and Word), sequencing the roadmap against materiality, regulatory exposure and delivery risk., • Frame the follow-on phase: what Mizuho should fund next, in what order, and what the cost of deferral is on the highest-materiality core tables. Essential experience • Strong experience in data architecture or data transformation consulting, with 3+ years as the accountable owner of engagements at director or principal level., • Capital markets or Tier-1/Tier-2 banking domain grounding: able to hold a credible conversation about trade, position, collateral, sub-ledger and regulatory reporting data without an SME in the room., • Demonstrated ownership of a target-state data architecture that was formally accepted by a bank architecture review board — candidates should be able to name the board, the decision and the objections they had to answer., • Data mesh operating-model fluency: domain ownership, data as a product, self-serve platform, federated computational governance — and a considered view on where mesh fails (over-centralising versus over-fragmenting shared assets)., • Lakehouse and medallion architecture on Azure Databricks; sufficient depth to challenge a pattern, not merely approve it., • Executive presence with bank stakeholders at head-of and MD level; comfortable running a steering committee and delivering unwelcome findings., • TOGAF certification, or equivalent evidence of using TOGAF to govern a pattern catalogue. Preferred / differentiating • Experience decomposing a SQL Server or Oracle monolith where stored-procedure logic obscured ownership boundaries., • Regulatory programme exposure: CCAR / FR Y-14, Dodd-Frank, BCBS 239 lineage and CDE evidence., • Experience running a distributed delivery team across US, Canada and India time zones on a fixed-window engagement. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Solutions Architect | MSP | Hybrid NYC | Up to $200,000 DOE What’s In It For You • Join a growing MSP with a strong reputation for delivering technology solutions to enterprise clients, • Work across a varied client base, leading complex infrastructure, cloud, networking, and security projects, • Act as a senior technical advisor and trusted partner to clients and their leadership teams, • Gain exposure to a broad range of technologies and environments rather than being tied to a single platform, • Take real ownership over technical strategy, architecture, and solution design, • Strong opportunity for career progression and continued technical development What You’ll Do • Act as a senior technical advisor to clients, helping design and implement solutions that align with their business needs, • Lead architecture and technical discussions across infrastructure, cloud, networking, security, and systems, • Design and deliver scalable, secure technology solutions across a range of client environments, • Work closely with Systems Engineers, Project Managers, Service Delivery, and leadership teams to ensure successful project delivery, • Build strong relationships with client stakeholders, from technical teams through to senior leadership, • Lead technical discovery, solution design, documentation, and implementation planning, • Troubleshoot complex technical challenges and provide guidance on best practices, • Stay up to date with emerging technologies and identify opportunities to improve client environments What You’ll Bring • Experience in an MSP or other client-facing technology environment, • Previous experience as a Solutions Architect, Systems Architect, Senior Systems Engineer, Cloud Architect, or similar, • Strong understanding of cloud infrastructure, networking, security, and enterprise systems, • Hands-on experience with AWS, Azure, or GCP, • Experience designing and implementing solutions across complex client environments, • Strong communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences, • A consultative, client-focused approach with the ability to take ownership of technical solutions from discovery through to delivery Interested? Apply now or send your updated resume to j.johnson-marjanovic@franklinfitch.com.

Position: Sr. Multi-Cloud Infrastructure & Security Architect Duration: 12 Months Contract to Hire Location: NYC, NY (Hybrid 3 Days a Week Onsite) Payrate: $ 75 - 80 per Hour About the Role and our Mission: • The Enterprise Email Security team is responsible for safeguarding the email communications for a complex global organization. Although the current team excels in platform architecture, threat mitigation, incident response, compliance, and governance, we are planning a significant transformation of our infrastructure. This initiative involves expanding from a legacy on-premises environment to a robust, multi-cloud ecosystem across leading global cloud service providers., • While the organization possesses deep security expertise, there is a need for a highly skilled professional in cloud architecture and enterprise IT infrastructure to design and implement secure and resilient cloud solutions., • The company is seeking a Senior Multi-Cloud Infrastructure and Security Architect for a full-time contractor role. This individual will serve as a technical leader, translating high-level security requirements into practical, scalable cloud engineering solutions. The role is critical to ensuring the organization’s systems are robust, resilient, and highly available. Key Responsibilities 1. Hybrid & Multi-Cloud Architecture Design • Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (GCP is a plus), ensuring alignment with benchmarks and corporate security policies., • Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems., • Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenants. 1. Infrastructure Resiliency & Disaster Recovery (DR) • Architect high-availability (HA) and disaster recovery topologies across disparate cloud providers to eliminate single points of failure (e.g., active-active cross-cloud replication)., • Develop, document, and test automated failover mechanisms for critical enterprise workloads to ensure zero-downtime objectives. 1. Infrastructure as Code (IaC) & Automation • Define, build, and maintain the the IaC repository using automation platforms., • Implement secure CI/CD deployment pipelines (Jenkins, GitHub Actions) embedded with automated security guardrails and static analysis tools. 1. Technical Advisory & Collaboration • Serve as the primary subject matter expert (SME) on cloud infrastructure for the core Cyber Security team, translating security objectives into concrete cloud configurations., • Collaborate with traditional on-prem network and sysadmin teams to systematically migrate or extend legacy workloads to the cloud without disrupting active operations. Required Skills & Experience: • Enterprise Scale: Minimum 8+ years of experience managing, architecture-designing, and deploying IT infrastructure within a Fortune 500 or equivalent large-scale enterprise., • Multi-Cloud Mastery: Deep, hands-on production experience with at least two major cloud vendors (AWS and Azure are highly preferred). You know their native networking, identity systems, and edge security controls inside out., • Networking: Strong foundational background in traditional on-premises networking (firewalls, load balancers, VLANs, proxies) and how those concepts map directly to cloud-native constructs (VPCs, VNets, Transit Gateways)., • Automation-First Mindset: Advanced proficiency with automation toolsets., • Pragmatic Security Knowledge: While you don't need to be a penetration tester, you must thoroughly understand cloud security frameworks and modern identity protocols., • Scripting & Systems Proficiency: Strong proficiency with Python programming, Shell scripting, and Unix/Linux operating systems. Desired Certifications: (While your hands-on experience matters most, we highly value the following credentials) • AWS Certified Solutions Architect – Professional / AWS Certified Security – Specialty, • Microsoft Certified: Azure Solutions Architect Expert / Azure Security Engineer Associate, • CCSP (Certified Cloud Security Professional) or equivalent infrastructure-focused certifications Preferred / Plus Qualifications: • Familiarity with Secure Email Gateway (SEG) products such as Proofpoint and Fortimail, • Familiarity with Exchange-Online security products such as Sublime security and Abnormal Email Security, • Experience with large scale email broadcast or bulk messaging platforms, • Exposure to compliance frameworks, audits, and regulatory examinations, • Experience integrating email platforms with monitoring, logging, and AIOps tooling, • Prior experience mentoring senior or mid level engineers Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Job Title: Denodo Tech Lead Location: Newark, NJ 07102 Work Arrangement: Onsite Employment Type: Contract Duration: 6 months Domain: Insurance Pay Rate: $51.00/hr W2 | $62.00/hr C2C Application Deadline: Oct 20th 2026 SKILLS REQUIRED Primary (Must-Have): • Denodo Architecture & Platform Management | VDP Views & Data Modeling, • Query Performance Tuning & Caching Strategies | SQL, Java, & Python Secondary (Good to Have): • Cloud Platforms (AWS / Azure / GCP) | API Integration (REST / SOAP) POSITION OVERVIEW Reporting to the Director of Data Engineering within the Insurance technology division, this leadership role solves critical data fragmentation challenges by architecting and managing our enterprise data virtualization platform. The incumbent will lead technical development teams to seamlessly integrate disparate data sources, eliminate data silos, and deliver secure, high-performance real-time data solutions for core insurance operations. ROLES & RESPONSIBILITIES • Optimize complex query performance, caching strategies, and execution plans to ensure high-throughput real-time data delivery., • Design high-performance VDP (Virtual Data Port) views and robust data models to support enterprise insurance analytics., • Architect real-time data virtualization solutions using Denodo to integrate diverse sources like cloud warehouses, APIs, and NoSQL., • Configure Denodo platform security, governance policies, and role-based access controls to maintain data compliance., • Establish development best practices, conduct code reviews, and implement CI/CD pipelines alongside managing technical deliverables. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

The Impact you will have in this role: Being a member of CISO team and as a Security Architect for the Cybersecurity Architecture Team, you will be an ambassador for the shift in the technology culture at DTCC to a Security-First culture, interacting with stakeholders to create, collaborate, and influence changes in control standards, creating design architecture documentation and evaluating PoC (Proof of Concept) of candidate designs prior to deployment, and furthering the maturity of DTCC’s security tooling. This role will work closely with application development and engineering teams across the organization to integrate security into the product lifecycle from design through deployment. The Security Architect is a subject matter expert in defining security requirements, performing security assessments, and providing remediation guidance and advice. The Security Architect should expect to be pulled in at short notice to evaluate a new system, review a proposed application change, or supply guidance on application security/coding best practices. Your Primary Responsibilities: • Embed security architecture into Azure-native and hybrid cloud solutions from design through deployment., • Define and publish reusable security patterns across Microsoft ecosystems (Azure, Power Platform, Copilot Studio)., • Partner with platform and engineering teams to ensure secure adoption of AI, low-code, and data governance capabilities., • Mentor engineering teams on security architecture, secure coding, and cloud-native control implementations., • Drive consistency through governed, scalable security patterns that reduce the need for per-integration reviews. NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications: • 5+ years of cybersecurity work experience, • Strong background in cloud security architecture, with emphasis on Microsoft Azure., • Experience working with enterprise engineering teams in agile and DevSecOps environments., • Bachelor’s degree preferred (or equivalent experience). Talents Needed for Success: Cloud & Platform Security • Deep experience with Microsoft Azure security architecture (IAM, networking dependencies, PaaS security, RBAC, Conditional Access)., • Experience implementing security controls across hybrid and multi-cloud environments. Microsoft Ecosystem Expertise • Microsoft Purview (data governance, data classification, DLP, insider risk concepts)., • Power Platform security model:, • Environment strategy, tenant isolation, connector governance, • Data loss prevention (DLP) policies, • Copilot Studio / AI platform security considerations:, • Secure plugin/integration design, • Prompt and data protection considerations, • Identity-aware access control patterns Application & API Security • Strong understanding of authentication, authorization (OAuth2/OIDC), and token-based access models., • Secure API and integration patterns, including RESTful services and event-driven architectures., • Knowledge of OWASP Top 10, SAMM, and application security testing approaches (SAST, DAST, SCA). DevSecOps & Engineering Practices • Experience integrating security into CI/CD pipelines and cloud-native development workflows., • Familiarity with infrastructure-as-code security and policy-as-code enforcement. Architecture & Governance • Experience creating reusable security patterns and reference architectures., • Ability to define enforceable standards that align with governance bodies (e.g., Architecture Review Boards)., • Strong ability to translate risk into actionable engineering guidance. Core Competencies • Strong analytical and problem-solving skills., • Ability to communicate complex technical concepts to both technical and non-technical stakeholders., • Excellent written, presentation, and collaboration skills. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets. For more information on the company, please visit our or . About the role We are seeking an experienced Data Mesh / Enterprise Architect to define the target-state architecture for a complex financial-services data estate. You will translate detailed stored procedures and data-landscape analysis into an actionable enterprise architecture. This includes defining domain and medallion-layer boundaries, creating reusable architecture patterns, designing source-aligned and consumer-aligned data products, and establishing the governance and platform capabilities required to support a federated data mesh. The role requires genuine delivery experience in data-product architecture—not simply familiarity with data mesh concepts. You will need to make practical architectural decisions across legacy SQL estates, lakehouse platforms, reference and master data, data contracts, lineage and enterprise architecture governance. Work Location: New York City, NY (Hybrid, 3 days in a Week) Key responsibilities • Interpret the stored-procedure landscape analysis architecturally: where a single procedure conflates responsibilities belonging to different domains or different medallion layers, define how it is split., • Define one reusable target pattern per MCDB feature class: operational UI / applications (app), raw ingestion from systems of record (stage), third-party market and reference data (refdata), consumer extracts (extract), enterprise model, and the cross-cutting MDM, sub-ledger and risk assets., • Map every inventory item to a pattern and produce the pattern-assignment matrix., • Compose the target-state conceptual architecture on DEAL: source-aligned data products, aggregate and consumer-aligned data products, the federated governance plane, the self-serve platform and the catalogue of catalogues — with the platform provisioning capability but never owning domain data., • Define the medallion mapping for each pattern, • Specify output-port design so that contract-governed subscriptions replace point-to-point extracts, and define the change-feedback loop from consumer to producer., • Produce the complexity, risk and dependency assessment and sequence the roadmap against it. Deliverables owned • Architecture pattern catalogue, one per feature class (Word; TOGAF pattern cards), • Pattern-assignment matrix covering every inventory item (Excel), • Target-state conceptual architecture (C4 and/or ArchiMate diagram + narrative), • Complexity, risk and dependency assessment with sequenced roadmap (Word + diagram) Essential experience • Strong experience in data architecture, 5+ at enterprise or principal level in financial services., • Genuine data mesh / data-product architecture delivery, not familiarity with the literature. Candidates must be able to describe a specific domain decomposition they authored, the contested boundaries within it, and how the platform-versus-domain responsibility split was enforced., • Deep lakehouse and medallion architecture: Databricks with Unity Catalog, Delta, Snowflake, Kafka, Airflow, Azure Data Lake Storage Gen2. Must be able to reason about equivalents on AWS (Lake Formation, Glue Data Catalog, Amazon DataZone) when comparing options for Mizuho., • Reference and master data architecture: vendor onboarding, identifier crosswalks across FIGI, LEI/GLEIF, CUSIP/ISIN, SEDOL and MIC, mastering and distribution to consuming domains., • SQL Server and T-SQL depth sufficient to reason about stored-procedure decomposition — the ownership boundaries in MCDB are inside the procedures, not the schema names., • TOGAF 9 or 10 certified, with demonstrable use of TOGAF to define and govern patterns; ArchiMate or C4 modelling in production use. Preferred / differentiating • FIBO applied to a taxonomy or ontology exercise; ODCS or comparable data-contract specification., • Lineage and catalogue tooling in anger: Solidatus, Unity Catalog, Microsoft Purview, Collibra, Alation, Securiti.ai, Anomalo., • Experience with automated code-intelligence accelerators for SQL/SAS estate analysis. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Full Stack Lead MUST be local to New York City, Hybrid Schedule Salary up to $190k No Sponsorship Available, No Third Party Resumes will be Accepted In this role you will take ownership over specific applications driving the full stack development function, d/riving design, architecture, and delivery of enterprise web applications and APIservices. You will be responsible for optimizing application platforms and development processes, guiding the team through hands-on code reviews, and ensuring alignment with architectural standards and business goals. Key Responsibilities • Lead and mentor a team of full stack developers on project design, development, and delivery, • Design and architect end-to-end web solutions spanning front-end, back-end, database, and API layers, • Optimize application platforms, systems, and development processes for performance and efficiency, • Conduct regular code reviews, enforce coding standards, and establish peer review processes, • Drive technical design decisions aligned with enterprise architecture and business requirements, • Own CI/CD pipeline implementation, deployment automation, and release management, • Implement and manage application monitoring, alerting, and performance optimization, • Architect AI integration features and oversee adoption of GitHub Copilot and vibe coding practices, • Design and manage Azure API Management policies, gateways, and API lifecycle, • Collaborate with the SharePoint Lead, Power Platform Lead, and QA Lead for integrated delivery, • Manage task assignments, sprint deliverables, and team capacity planning, • Troubleshoot complex technical issues across the full application stack, • Evaluate and adopt modern frameworks, libraries, and development tools Technical Skills • Angular, • React, • .NET / .NET Core Required Qualification • 8+ years of full stack development experience with progressive leadership responsibilities, • Strong proficiency in Angular, React, .NET/.NET Core, and SQL Server, • Proven experience leading development teams of 3+ members, • Hands-on experience with Azure services, API Management, DevOps pipelines, and containerization, • Demonstrated ability in solution design, architecture, and process optimization, • Solid understanding of RESTful API design, microservices patterns, and authentication frameworks, • Excellent communication and team leadership skills Methodologies & Delivery Practices: • Strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)., • Experience working in Agile (Scrum) and Waterfall delivery models., • Proficient in using JIRA for defect management, test tracking, and collaboration with development teams.

Data Engineering Lead Architect – Azure Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit _ for more information about Fractal. Note: This position is not eligible for Immigration Sponsorship at this time. Location: New York City, NY Position Overview: If you are an extraordinary architect who loves pushing boundaries to solve complex business problems through creative, scalable solutions, we would like to speak with you. As a Data Engineering Lead Architect - Azure, you will join our Technology team and help deliver enterprise-scale data engineering platforms and data products for Fortune clients worldwide. In this highly visible leadership role, you will define data strategy, architecture standards, and governance frameworks while driving the delivery of secure, resilient, and business-ready data products on Microsoft Azure and Microsoft Fabric. You will lead complex programs from architecture through release, partner with senior business and technology stakeholders, and mentor engineering teams to build reusable capabilities that accelerate data and analytics transformation. Job Responsibilities: Architecture & Data Product Strategy • Design and build cloud-native data platforms and data products on Microsoft Azure, selecting the services, tools, architecture patterns, and engineering methodologies best suited to each client’s needs., • Define enterprise data architecture standards, reference architectures, design patterns, guiding principles, and platform blueprints for scalable, reusable, secure, and governed data products., • Architect and deliver data products on Microsoft Fabric, using enterprise master data and SAP product hierarchies as foundational data assets., • Translate business requirements into technology specifications, target-state architectures, data models, delivery plans, release strategies, and operational roadmaps. Technical Delivery & Engineering Excellence • Lead technical programs end to end, from discovery and solution design through build, testing, release, and production support, with ownership of the complete delivery lifecycle., • Develop scalable software, reusable frameworks, and engineering practices required for the end-to-end execution of large data programs., • Apply software engineering principles across all phases of the SDLC to build resilient, observable, maintainable, and high-performing solutions., • Guide the implementation of batch, streaming, lakehouse, warehouse, and real-time data processing solutions across the Azure ecosystem., • Establish and advance CI/CD, DevOps, Infrastructure as Code, containerization, release management, and automated testing practices. Data Governance, Quality & Trust • Drive enterprise data governance initiatives and partner with business stakeholders to establish clear ownership, accountability, stewardship, and decision rights across functions., • Establish and enforce data quality frameworks, controls, validation rules, observability, lineage, monitoring standards, and certification processes that produce trusted, business-ready data., • Lead the development and certification of data products aligned with organizational quality, governance, business validation, and compliance requirements., • Promote effective metadata management, master data management, cataloging, and lifecycle governance across the data platform. Client Leadership & Team Development • Partner with senior business and technology leaders to align data architecture decisions with measurable business outcomes and enterprise priorities., • Be an integral part of large-scale client business development, solutioning, estimation, proposal, and delivery engagements., • Mentor architects and engineering teams, provide hands-on technical direction, and ensure adherence to architecture standards and engineering best practices., • Collaborate with global consulting teams across multiple projects, workstreams, and geographies., • Build the knowledge base, reusable assets, and delivery playbooks required to execute increasingly complex data and analytics transformation programs. Minimum Qualifications: • 10-15 years of technology experience, including significant leadership experience in enterprise data architecture, data engineering, data platforms, data warehousing, or analytics transformation programs., • Extensive experience designing and implementing cloud-native data solutions on Microsoft Azure., • Hands-on expertise with Microsoft Fabric, including Lakehouse architecture, OneLake, Data Factory, Data Engineering, Data Warehousing, and Real-Time Analytics capabilities., • Proven success defining enterprise architecture standards, reference architectures, design patterns, and data platform blueprints., • Strong command of enterprise data governance, metadata management, master data management, data cataloging, data stewardship, and data product operating models., • Expertise in data quality management, data validation frameworks, observability, lineage, monitoring, and data product certification., • Experience integrating SAP master data, product hierarchies, and enterprise systems into modern cloud data platforms., • Deep experience with Azure data services, including Databricks, Azure Data Lake Storage, Azure Data Factory, Event Hubs or Kafka, Synapse Analytics, Cosmos DB, and related platform services., • Strong proficiency in SQL and experience with relational and NoSQL technologies such as PostgreSQL, MongoDB, Cassandra, and MySQL., • Hands-on experience with distributed processing and streaming technologies, including Spark and Kafka., • Expertise in Python, Spark, data modeling, and modern data engineering frameworks., • Strong experience with CI/CD, DevOps, Infrastructure as Code, Docker, and Kubernetes., • Excellent stakeholder management, consulting, communication, and presentation skills, with the ability to engage senior business and technology leaders., • Ability to lead and collaborate with global consulting teams across multiple projects and geographies. Preferred Qualifications: • Experience with Microsoft Purview, enterprise data catalogs, metadata management platforms, and Master Data Management solutions., • Knowledge of Data Mesh, domain-oriented data products, event-driven architecture, and real-time analytics patterns., • Experience with Snowflake, SAP Datasphere, SAP BW, or adjacent enterprise data platforms., • Azure or Microsoft Fabric certifications., • Experience in the consumer goods industry or with product, customer, and commercial data domains., • Experience establishing data product certification frameworks and governance processes at enterprise scale. Education & Experience: • Bachelor’s degree in Computer Science, Engineering, or a related technical field; a master’s degree is preferred., • B.E., B.Tech., M.Tech., or an equivalent combination of education and relevant professional experience., • 10-15 years of relevant technology experience in data architecture, data engineering, cloud platforms, or enterprise analytics transformation. Core Technology & Leadership Skills: Microsoft Fabric, Azure Data Engineering, Azure Data Factory, Azure Data Lake Storage, Databricks, Enterprise Data Architecture, Data Product Development, SAP Master Data Integration, SAP Product Hierarchies, Data Governance, Data Quality Management, Data Modeling, SQL, Python, Spark, Kafka, CI/CD, DevOps, Docker, Kubernetes, Stakeholder Management, and Solution Architecture. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $145,000 - $190,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Network Architect – DMZ & Public Cloud Profile We are looking for a Senior Network Architect with strong experience designing and architecting enterprise DMZ/perimeter networks and hands-on knowledge of public cloud networking. The ideal candidate will have deep experience with DMZ architecture, network segmentation, firewalls, routing, and secure external connectivity, along with experience designing or supporting cloud network environments in AWS, Azure, or GCP. This role will focus on designing secure, highly available network architectures across data center, Internet-facing, hybrid, and public cloud environments. The architect will work closely with network engineering, cybersecurity, cloud platform, infrastructure, and application teams to develop scalable connectivity and security patterns. Project Details • Design and evolve enterprise DMZ and perimeter network architecture supporting Internet-facing applications, external partners, and business-critical services., • Develop secure connectivity patterns between on-premises data centers, DMZ environments, and public cloud platforms., • Design network segmentation and traffic flows between Internet, DMZ, application, and internal network zones., • Support cloud adoption and migration initiatives requiring secure public cloud connectivity., • Develop architecture standards, reference designs, HLDs/LLDs, network diagrams, and implementation strategies., • Partner with security teams on firewall, WAF, IDS/IPS, DDoS protection, and traffic inspection architectures., • Evaluate existing network architectures and recommend improvements for scalability, resiliency, security, and performance. Must-Haves • 8+ years of enterprise network engineering/architecture experience., • Strong, hands-on DMZ / perimeter network architecture experience., • Experience designing secure Internet-facing and externally accessible network environments., • Strong understanding of network segmentation, routing, NAT, VPN, DNS, load balancing, and traffic flows., • Strong experience with enterprise firewalls such as Palo Alto, Cisco Firepower/FTD, Fortinet, or equivalent., • Experience designing hybrid network connectivity between data centers/on-premises environments and public cloud., • Strong knowledge of at least one major public cloud platform: AWS, Azure, or GCP., • Cloud networking experience including concepts such as VPC/VNet, subnets, routing, peering, private connectivity, security controls, and cloud-native firewalls., • Experience developing High-Level Designs (HLDs), Low-Level Designs (LLDs), network diagrams, and architecture documentation., • Strong understanding of high availability, resiliency, disaster recovery, and secure network design., • Strong communication skills and ability to work with network, security, cloud, infrastructure, and application teams. Nice-to-Haves • Experience with AWS, Azure, and GCP., • Multi-cloud network architecture., • Experience with Arista EOS / CloudVision / EVPN-VXLAN., • Cisco ACI / data center fabric experience., • F5 BIG-IP / LTM / GTM experience., • Palo Alto or other next-generation firewall architecture., • Infrastructure as Code such as Terraform or Ansible., • Python or network automation experience., • Zero Trust architecture., • Cloud landing zone architecture., • Experience in highly regulated or financial-services environments., • Experience with third-party and business-partner connectivity., • Experience developing enterprise network standards and architecture roadmaps.

Client Overview Our client is seeking a highly skilled Senior GenAI Developer to support the development and implementation of enterprise-grade conversational AI solutions. The organization is focused on leveraging modern Microsoft technologies, artificial intelligence, automation, and enterprise data to improve workplace productivity and business processes. The Senior GenAI Developer will play a key role in developing secure, scalable, and intelligent enterprise AI solutions while helping transform workplace productivity through conversational AI and automation. This opportunity is ideal for a Senior GenAI Developer with strong Microsoft AI, Azure OpenAI, RAG, enterprise integration, and automation experience. Salary/Hourly Rate $55/hr - $70/hr Position Overview Our client is seeking an experienced Senior GenAI Developer to design, build, and deploy intelligent conversational AI agents and autonomous workplace assistants using Microsoft Copilot Studio, Power Virtual Agents (PVA), and Azure OpenAI Service. The Senior GenAI Developer will focus on developing secure enterprise AI solutions, integrating Microsoft ecosystem services, and building robust retrieval-augmented generation (RAG) pipelines. The ideal candidate will have strong experience with Microsoft Graph API, Microsoft Dataverse, Azure AI Search, vector databases, and enterprise automation. Responsibilities Of The Senior GenAI Developer • Design, build, and deploy conversational AI agents using Microsoft Copilot Studio and Power Virtual Agents., • Develop autonomous workplace assistants utilizing Azure OpenAI Service., • Architect secure data connectors across the Microsoft ecosystem., • Build integrations using Microsoft Graph API, Microsoft Dataverse, and custom API wrappers., • Enable secure access to enterprise tenant data and business applications., • Implement robust RAG pipelines using Azure AI Search and vector databases., • Develop context-aware enterprise knowledge retrieval solutions., • Integrate AI agents with enterprise applications, APIs, and backend data sources., • Develop complex cloud flows and enterprise automations using Power Automate., • Utilize Power Apps to support business application integrations., • Ensure AI solutions are secure, scalable, and aligned with enterprise requirements. Required Experience/Skills For The Senior GenAI Developer • Hands-on experience as a Senior GenAI Developer designing, building, and deploying conversational AI agents., • Strong experience with Microsoft Copilot Studio and Power Virtual Agents (PVA)., • Experience utilizing Azure OpenAI Service for enterprise AI solutions., • Experience architecting secure enterprise data connectors and integrations., • Strong knowledge of Microsoft Graph API and Microsoft Dataverse., • Experience developing custom API wrappers and enterprise integrations., • Hands-on experience building RAG pipelines using Azure AI Search., • Experience working with vector databases for AI-powered knowledge retrieval., • Strong understanding of secure, context-aware enterprise AI architectures. Preferred Experience/Skills For The Senior GenAI Developer • Experience developing complex cloud flows using Power Automate., • Experience developing business applications with Power Apps., • Experience integrating AI agents with core business applications and backend data sources., • Experience developing enterprise-grade automation solutions., • Experience working with custom APIs and Microsoft ecosystem integrations., • Knowledge of enterprise AI security, governance, and data access practices., • Experience working as a Senior GenAI Developer within enterprise technology environments. Education Requirements • No specific education requirement., • Equivalent professional experience in AI engineering, software development, cloud technologies, or enterprise automation will be considered. Benefits • Contract opportunity through December 2027., • Competitive W-2 hourly compensation., • Opportunity to work with Microsoft Copilot Studio and Azure OpenAI technologies., • Hands-on experience developing enterprise conversational AI solutions., • Exposure to RAG, Azure AI Search, vector databases, and enterprise knowledge retrieval., • Opportunity to work with Microsoft Graph API, Dataverse, Power Automate, and Power Apps., • Manhattan-based technology opportunity focused on modern AI and automation., • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).

Responsibilities • Design, build, and maintain scalable, secure, and highly available cloud infrastructure on Microsoft Azure, including virtual networks, compute, storage, and PaaS services., • Automate infrastructure provisioning and deployments using Infrastructure as Code (Terraform, Bicep, or ARM templates) and CI/CD pipelines in Azure DevOps or GitHub Actions., • Implement and enforce cloud security, identity, and governance best practices, including Entra ID, RBAC, Azure Policy, Key Vault, and network security controls., • Monitor performance, cost, and reliability with Azure Monitor and Log Analytics, troubleshoot incidents, and continuously optimize the environment while partnering with development, security, and operations teams. Requirements • 5+ years of experience in cloud or infrastructure engineering, including at least 3 years of hands-on work designing and supporting production workloads in Azure., • Strong proficiency with Infrastructure as Code and scripting (Terraform, Bicep, PowerShell, Azure CLI, or Python), plus experience with containerization and orchestration (Docker, AKS)., • Solid understanding of networking (VNets, VPN/ExpressRoute, DNS, load balancing), identity management, and hybrid cloud connectivity., • Excellent problem-solving and communication skills. Microsoft certifications such as Azure Administrator Associate (AZ-104) or Azure Solutions Architect Expert (AZ-305) are strongly preferred.

Client Overview Our client is a technology organization focused on building and supporting scalable infrastructure, automation, and modern DevOps environments. The organization is investing in Infrastructure as Code (IaC), automation, and platform reliability to create secure, repeatable, and resilient technology platforms. They are currently looking to add a Senior DevOps Architect to their team. Salary/Hourly Rate $64.50/hr - $140/hr Position Overview The experienced Senior DevOps Architect will provide technical leadership for the design and implementation of enterprise DevOps, Infrastructure as Code (IaC), automation, and platform reliability strategies. The Senior DevOps Architect will establish scalable, secure, and repeatable architecture patterns that improve infrastructure provisioning, configuration management, application deployment, recovery, and ongoing operational support. The Senior DevOps Architect will define technical standards and reference architectures across Azure DevOps, Git, Terraform, Ansible, HashiCorp Packer, Vault, Nutanix AHV, and related automation technologies. This role is ideal for a hands-on technical leader who can establish architecture standards while providing guidance to engineering teams responsible for implementation. Responsibilities Of The Senior DevOps Architect • Define the overall DevOps and Infrastructure as Code architecture and technical roadmap., • Establish reusable patterns for automated infrastructure provisioning and configuration management., • Design CI/CD architecture using Azure DevOps and Git., • Incorporate appropriate controls, approvals, testing, and deployment practices into CI/CD pipelines., • Develop secure secrets and credential-management patterns using Vault and approved enterprise solutions., • Ensure credentials and sensitive information remain outside source-code repositories., • Provide architecture guidance across Nutanix AHV, Linux, Windows, Oracle, networking, storage, and infrastructure services., • Drive automation initiatives that reduce manual processes and configuration drift., • Improve infrastructure repeatability, recovery readiness, and operational efficiency., • Integrate observability and operational validation into DevOps architectures., • Utilize Grafana, Prometheus, and alerting capabilities to support platform monitoring., • Partner with Infrastructure, Application, Security, Networking, Database, and Operations teams., • Translate technical and business requirements into maintainable enterprise architectures., • Provide technical leadership and design guidance to DevOps and IaC engineers., • Establish architecture documentation, standards, implementation patterns, and operational handoff requirements. Required Experience/Skills For The Senior DevOps Architect • Extensive experience designing and implementing enterprise DevOps architectures., • Strong experience with Azure DevOps and Git., • Hands-on expertise with Terraform and Ansible., • Strong Infrastructure as Code (IaC) experience., • Experience with CI/CD architecture and automated deployment practices., • Experience with HashiCorp technologies, including Vault and Packer., • Strong understanding of secure secrets and credential management., • Experience with Nutanix AHV and enterprise virtualization., • Strong Linux and Windows infrastructure experience., • Experience supporting Oracle-related platforms and enterprise infrastructure services., • Strong understanding of networking and storage concepts., • Experience designing automation and configuration-management solutions., • Experience with monitoring and observability technologies., • Knowledge of Grafana, Prometheus, and alerting platforms., • Strong understanding of disaster recovery and infrastructure recovery automation., • Ability to establish technical standards, reference architectures, and reusable patterns., • Strong technical leadership and communication skills. Preferred Experience/Skills For The Senior DevOps Architect • Experience leading enterprise-wide DevOps transformation initiatives., • Experience reducing configuration drift through infrastructure automation., • Experience designing highly repeatable infrastructure provisioning processes., • Experience integrating security controls into DevOps and CI/CD architectures., • Experience working across infrastructure, application, security, networking, database, and operations teams., • Strong documentation and architecture governance experience., • Experience mentoring and guiding DevOps/IaC Engineering teams., • Ability to balance hands-on technical depth with strategic architecture leadership., • Experience developing operational handoff and platform reliability standards., • Strong problem-solving skills with the ability to translate complex requirements into practical technical solutions. Education Requirements • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is preferred., • Equivalent professional experience in DevOps, infrastructure architecture, or platform engineering will be considered. Benefits • Opportunity to join as a Senior DevOps Architect and provide enterprise-level technical leadership., • Work with modern DevOps, Infrastructure as Code, automation, and observability technologies., • Opportunity to establish architecture standards and engineering best practices., • Collaborate with cross-functional Infrastructure, Application, Security, and Operations teams., • High-impact role focused on improving scalability, reliability, automation, and operational efficiency., • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Gen AI Architect Experience Level: 7+ years Employment type: Full Time Location: Newark, NJ Job Summary: We are seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute complex tasks with minimal human intervention. You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms. Roles & Responsibilities: Agentic System Architecture & Development: • Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch. You will create the foundational agent harnesses, define communication protocols, and build orchestration layers using frameworks like CrewAI, Langgraph, and AutoGen. Architectural decisions to ensure:, • Hierarchical and collaborative multi-agent structures with well-defined agent roles, responsibilities, and communication protocols, • Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction loops, • Develop state management systems and memory mechanisms for persistent agent interactions, • Engineer Advanced Agent Capabilities: Develop custom agent-tools and define specialized agent-skills that empower agents to perform complex, domain-specific tasks., • Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and make informed decisions in dynamic environments., • Deploy Production-Grade Solutions: Own the deployment, scaling, and maintenance of robust, low-latency agentic systems on major cloud platforms (GCP, AWS, or Azure). You will implement best-in-class MLOps practices for monitoring, continuous integration/continuous deployment (CI/CD), and system reliability., • Integrate and Optimize LLMs: Integrate LLMs to serve as the core reasoning engines for autonomous agents. You will apply advanced techniques like RAG and PEFT to optimize performance. Tool Development & RAG Integration: • Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and external service connections, • Design and implement RAG systems using vector databases (Pinecone, Weaviate, ChromaDB), • Develop custom tools and plugins that enable agents to interact with various enterprise systems and APIs, • Ensure tool reliability, error handling, and seamless integration within agentic workflows Observability, Monitoring & Evaluation: • Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis, • Design novel evaluation frameworks to assess multi-step agentic task success, reliability, and accuracy, • Utilize advanced observability tools (LangSmith, Arize AI, or custom solutions) to trace agent decision making processes, • Establish metrics and KPIs for measuring agentic system performance in production environments Basic Qualifications: • 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production, • Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI, • Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture, • Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems, • Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions), • Proven ability to architect and implement complex AI systems from scratch in production environments, • Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including:, • Compute services (EC2, GCE, Azure VMs), • Serverless functions (Lambda, Cloud Functions, Azure Functions), • Container orchestration (EKS, GKE, AKS), • Managed AI/ML services (SageMaker, Vertex AI, Azure ML), • Production & DevOps: Strong skills in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and containerization (Docker, Kubernetes) Other Qualifications: • Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization, • Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination, • Familiarity with SDLC best practices, version control (Git), and agile development methodologies, • Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers)., • Hands-on evals for agents: trajectory / tool-use checks, golden traces, LLM-as-judge with fixed rubrics, regression suites., • Online evals, drift thinking, and clear quality gates before or after deploy (thresholds, alerts, rollback criteria)., • Safety and abuse: prompt injection via tools, untrusted retrieval, PII handling in prompts and logs, allowlists and guardrails., • Cost and latency discipline: budgets per run, timeouts, caps on turns and tool calls., • Model lifecycle: routing / gateway patterns, version pinning, fallbacks, and which model for which step., • Memory and state: what is persisted, retention, redaction, and what must never be stored What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Are you a Microsoft Fabric specialist who wants to own the whole platform instead of one slice of it? What's the Job? As the BI Data Architect, you'll be the in-house Fabric authority for one of New York City's most iconic cultural institutions. This is a brand-new seat — you're not inheriting someone else's architecture, you're designing what comes next. The organization has run two successful Fabric pilots with a Microsoft medallion partner and proved the model works. Now they want that expertise in-house. You'll own the data architecture end to end: ingestion, ETL/ELT, lakehouse design, governance standards, and the Power BI layer that business users actually touch. You'll report to the Director of BI, sit on a four-person BI team, and work directly with the CIO on the data roadmap. Some of what you'll be doing: • Designing and managing pipelines and lakehouses in Microsoft Fabric — moving data through Bronze, Silver and Gold layers, • Building out data governance: standards, documentation, quality monitoring, security, • Partnering with analysts to turn architecture into dashboards people trust, • Mentoring the team and bringing the wider organization along toward self-service BI Who Are We? We are a world-renowned New York City performing arts institution, presenting the finest artists on our stages for well over a century, and running music education and social impact programs that reach more than 800,000 people a year. We are a nonprofit with a genuine mission — and a small, tight technology group inside it. What Skills Do I Need? • 5–10 years in data architecture, data engineering or BI engineering, • Real, hands-on Microsoft Fabric experience — this is the one thing we can't flex on. Pipelines, Dataflows, Notebooks, Lakehouse/OneLake, • Working knowledge of medallion architecture (Bronze/Silver/Gold) in production, • Strong Power BI — enterprise reporting on governed models, not just report-building, • Advanced T-SQL and the Azure data stack (Data Factory, Data Lake Storage), • Python for data engineering and automation, • A real grasp of data governance, security and compliance, • Excellent communication — you'll be training and supporting non-technical business users every week Nice to Have • Azure API Management / API-first architecture, • SSRS, • Curiosity about how good architecture and data quality underpin ML and GenAI work Compensation • $140,000 – $150,000, • Excellent benefits, including a pension after a qualifying period, • Summer Fridays, • A real 9-to-5 culture — no weekends, no on-call heroics, • On-site five days a week for the first three months, then eligible for hybrid (3 on-site / 2 remote) at your manager's discretion. This is not a remote role. What's In It For You? You get to be the person who defines how a globally recognized institution uses its data — with the platform decisions in your hands and a leadership team that already believes in the work.

Principal Consultant Data Engineer (L5) About Vivanti Vivanti is a home for high-performing technologists who drive measurable impact for clients. Our mission is to transform businesses and build a smarter, more connected world through the power of data, cloud, and modern technology. Global enterprise leaders rely on us to design, architect, and deliver cutting-edge data and AI solutions. We provide an environment where ambitious engineers thrive—offering continuous learning, diverse client engagements, strong mentorship, and the platform to deliver high-value work. Role Summary As a Principal Consultant, you are an organizational leader whose mission is to make Vivanti the "Partner of Choice" for clients and the "Employer of Choice" for staff. You drive the overarching commercial success of data engagements, oversee complex client relationships, and foster the career growth of the consultants under your guidance. What You'll Do • Create a cohesive, engaged team environment driven by Vivanti’s ICARE values (Integrity, Collaboration, Accountability, Respect, Excellence)., • Support individual career desires, provide actionable feedback during review processes, and assist with the professional development of your team., • Take overarching accountability for client delivery excellence, ensuring engagements consistently meet planned commercial outcomes., • Act as a strong brand ambassador, seeking opportunities to promote Vivanti across pillars and proactively mitigating risks to the brand., • Identify opportunities to expand Vivanti’s footprint leveraging vendor relationships and deep knowledge of the client’s business model., • Drive the financial and commercial success of projects, contribute to internal IP (solutions/frameworks), and support Vivanti's recruitment processes., • Ensure timeliness in finance/P&C administration (timesheets, leave, governance meetings). What We’re Looking For We are seeking proactive problem-solvers with strong critical thinking skills and a passion for data engineering. Whether you have prior technical experience or a strong foundational analytical background, we value curiosity, adaptability, and a drive to learn. Ideal candidates demonstrate: • Proactive mindset with the drive to take ownership of data engineering deliverables independently., • Possess relevant cloud/data certifications, such as SnowPro Core, Google Cloud Digital Leader, MS Azure Fundamentals, or AWS Certified Cloud Practitioner, along with a commitment to technical enablement and skill sharing., • Ability to build holistic business domain knowledge and communicate technical solutions to peers and clients., • Strong personal brand awareness and an interest in supporting Vivanti's commercial enablement and team success., • Demonstrated proficiency in SQL, Python, AWS, Azure, GCP, Databricks, Snowflake, GIt, CI/CD, ML/AI, Spark, Airflow, ETL/ELT., • 8–15 years of hands-on experience in data engineering. Perks We invest in our people by providing comprehensive professional development, clear career progression, and an inclusive culture. • Gain access to Vivanti Academy, our proprietary knowledge platform and internal training resources., • Receive direct guidance and career support through structured mentorship., • Earn fully funded paid professional certifications across major cloud and data platforms., • Connect with colleagues through regular team socials, events, interest groups, and gatherings., • Enjoy a flexible hybrid work schedule with the freedom to choose your days working from home or in the office., • Fuel your workday with coffee, tea, and premium snacks provided daily in the office. Benefits • Access comprehensive medical coverage with 80% firm-sponsored premiums for employees and registered dependents., • Receive 100% employer-covered dental and vision plan options extending to your entire family., • Utilize a $3,000 Health Reimbursement Account to support out-of-pocket medical expenditures., • Build long-term security through our retirement plan with a 4% competitive company match., • Enjoy flexible work-life integration with 20 days of paid time off per year along with 10 company holidays., • Stay active and mobile with an annual complimentary CitiBike subscription., • Take advantage of pre-tax commuter reimbursement benefits for daily transit needs., • Benefit from dedicated paid parental leave options designed to support expanding families., • Protect your family's financial future with comprehensive group life insurance options. How to Apply If you are looking to accelerate your data engineering career in a collaborative, growth-focused environment, we would love to hear from you. Submit your application today to join the Vivanti team.

Senior AI Software Engineer (Full Stack) At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. About the Role We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering As one of the early engineers on this team, you will • Design, build, and maintain Agentic AI-powered applications across the full stack, • Develop intelligent workflows using modern agentic frameworks, • Architect scalable backend services and user-facing applications, • Build reliable integrations with enterprise systems and cloud infrastructure, • Drive engineering best practices, technical strategy, and architectural decisions, • Define success metrics and continuously improve product performance, • Partner directly with leadership and product teams to deliver customer value, • Take ownership of major technical initiatives from concept through production Required Qualifications Experience • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates), • Experience working in a SaaS startup or other fast-paced product environment, • Proven ability to thrive in ambiguous, rapidly evolving environments., • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar Technical Skills • Strong proficiency in Python, • Experience with SQL and relational databases (PostgreSQL preferred)., • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers., • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen, • Experience designing and deploying production AI applications., • Familiarity with CI/CD pipelines, Git, and modern software development practices, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform, • Understanding of LLM evaluation, monitoring, and observability., • Experience training or fine-tuning models is a plus. Education • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience. What We're Looking For Successful candidates will demonstrate: • A product mindset with the ability to balance speed and quality, • Comfort owning complex technical challenges with minimal direction, • Excellent collaboration and communication skills., • A desire to make a significant impact as part of a small, high-performing team Pluses We're especially interested in candidates who have: • Built and shipped production AI applications, • Worked at high-growth startups, • Experience across both backend and frontend development., • A track record of driving technical initiatives and mentoring other engineers Why Join Dioptra? • Work directly with the founders behind one of the industry's leading AI contract platforms, • Build state-of-the-art AI agent technology used by enterprise customers, • Own meaningful technical decisions and influence product direction., • Join a small, highly collaborative team with significant autonomy., • Help shape the future of enterprise AI and contract intelligence.

Job Title: Senior Virtual Desktop Engineer Location: Onsite on a hybrid schedule in NYC Employment Type: Full-Time Salary: 165-180k Position Summary A large international firm is seeking a Senior Virtual Desktop Engineer to design, optimize, and guide the future direction of its virtual desktop infrastructure across both on-premises and cloud platforms. This role is instrumental in architecting modern end-user computing solutions, including the transition from Citrix to Azure Virtual Desktop (AVD). The ideal candidate combines deep technical expertise with excellent collaboration and problem-solving skills to ensure reliable, secure, and scalable virtual desktop delivery. Key Responsibilities • Lead Virtual Desktop Architecture: Serve as a senior engineer overseeing the design and performance of virtual desktop environments, driving continuous improvement and operational excellence., • Design & Manage Infrastructure: Architect and maintain scalable, secure, and high-performance VDI solutions using AVD and associated technologies., • AVD Migration Leadership: Guide and execute the transition from Citrix to Azure Virtual Desktop, ensuring minimal business disruption., • Evaluate & Recommend Technologies: Research and recommend emerging technologies including FSLogix, Nerdio, and user profile management tools., • Cross-Functional Collaboration: Partner with infrastructure, application, network, and security teams to resolve complex technical issues and deliver integrated solutions., • Tier 3 Support: Provide senior-level troubleshooting and escalation support for virtual desktop and endpoint environments., • Automation & Optimization: Use PowerShell and other scripting tools to automate and optimize VDI operations and user profile management. Required Technical Skills • Azure Virtual Desktop (AVD): Deep expertise managing and supporting AVD in cloud or hybrid environments., • User Profile & Application Control: Experience with UPM, FSLogix, Ivanti Workspace Control (Appsense), Ivanti Application Control, and Windows Defender Application Control (WDAC)., • Microsoft Stack Proficiency: Strong experience with Windows Server, Group Policy, Active Directory, and scripting/automation via PowerShell., • Cloud & Virtualization Knowledge: Experience with Azure, AWS, VMware, and Microsoft Hyper-V in enterprise settings., • Citrix (Nice to Have): Familiarity with Citrix Virtual Apps and Desktops (XenApp/XenDesktop), Citrix ADC (NetScaler), Citrix Gateway, MCS, PVS, and Citrix Cloud. Qualifications • Education: Bachelor's degree in a technical field or equivalent experience., • Experience: Minimum of 7 years of experience managing and architecting large-scale virtual desktop environments, including Citrix and AVD., • Certifications: Microsoft certifications related to AVD preferred; Citrix certifications such as CCP-V or CCE-V are a plus.

Full Stack Lead | Enterprise Web Applications | Hybrid, NYC A leading financial services firm is hiring a Full Stack Lead to own the full stack development function for a suite of enterprise applications. You'll drive architecture, mentor a team of developers, and shape how the platform gets built end to end. What you'll do • Lead and mentor a team of full stack developers through design, development, and delivery, • Architect end to end web solutions across front end, back end, database, and API layers, • Own code reviews, coding standards, and peer review processes, • Drive technical design decisions tied to enterprise architecture and business goals, • Run CI/CD, deployment automation, and release management, • Set up application monitoring, alerting, and performance tuning, • Lead AI integration work, including GitHub Copilot adoption and vibe coding practices, • Manage Azure API Management policies, gateways, and API lifecycle, • Partner with SharePoint, Power Platform, and QA leads on integrated delivery, • Handle sprint planning, task assignments, and team capacity, • Troubleshoot issues across the whole stack, • Evaluate new frameworks, libraries, and tools as the platform grows What you bring • 8+ years of full stack development experience, with progressive leadership, • Strong hands with Angular, React, .NET/.NET Core, and SQL Server, • Experience leading a team of 3 or more developers, • Azure, API Management, DevOps pipelines, and containerization under your belt, • A track record in solution design and process optimization, • Solid grasp of RESTful APIs, microservices, and auth frameworks, • Comfort in both Agile/Scrum and Waterfall environments, with JIRA for tracking $112k-$190k base, plus a generous benefits package and discretionary bonus. Full Stack Lead | Enterprise Web Applications | Hybrid, NYC

Job Description • 12+ years of experience in software architecture, API platform engineering, and enterprise application development., • Strong experience designing and building enterprise API platforms and reusable API frameworks from scratch., • Hands-on expertise in Java, Spring Boot, REST APIs, JSON, OpenAPI/Swagger, and microservices architecture., • Experience with API Gateway technologies such as Apigee, Kong, MuleSoft, NGINX, AWS API Gateway, or similar., • Strong understanding of API security, including OAuth2, JWT, SSO, mTLS, authentication, authorization, and policy enforcement., • Experience implementing load balancing, traffic management, throttling, failover, high availability, and resiliency patterns., • Strong knowledge of Oracle, SQL, database design, performance tuning, and data access layer architecture., • Experience with caching, connection pooling, service discovery, fault tolerance, and distributed systems., • Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and automated deployments., • Experience with monitoring and observability tools such as Splunk, Grafana, Prometheus, ELK, Dynatrace, or similar., • Strong understanding of API governance, versioning, lifecycle management, and consumer onboarding processes., • Excellent communication and stakeholder management skills. Good to Have Skills • Experience with enterprise data services and reference data platforms., • Exposure to event-driven architecture and messaging technologies such as Kafka, MQ, or RabbitMQ., • Experience in Banking, Capital Markets, Trading, or Financial Services environments., • Experience supporting multiple applications through a centralized API platform., • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud., • Experience supporting mission-critical, high-volume transactional systems. Roles & Responsibilities • Design and build a scalable enterprise API platform and reusable API framework from the ground up., • Develop and architect RESTful APIs using Java and Spring Boot., • Design real-time, historical, and point-in-time business data access services., • Configure and manage API Gateway capabilities including routing, load balancing, throttling, failover, and service orchestration., • Define and implement API security standards, versioning strategies, governance models, and lifecycle management processes., • Implement authentication and authorization mechanisms using OAuth2, JWT, SSO, and mTLS., • Design and implement caching, connection pooling, resiliency, and performance optimization solutions., • Build reusable components and services that can be consumed by multiple internal and external applications., • Establish API consumer onboarding processes and API access management standards., • Implement logging, monitoring, tracing, alerting, analytics, and usage reporting capabilities., • Collaborate with application, infrastructure, security, database, DevOps, and architecture teams to deliver end-to-end platform solutions., • Support performance testing, production deployment, troubleshooting, operational readiness, and platform governance., • Provide architecture leadership, technical guidance, and best practices for API platform adoption across the organization.

Java Solution Architect Location: Jersey City, NJ – Onsite Interview: Final Round – Face-to-Face (F2F) Job Type: Full-Time Job Summary We are seeking an experienced Java Solution Architect to design and deliver scalable, secure, and high-performance enterprise applications. The ideal candidate will have strong hands-on expertise in Java, Spring Boot, Microservices, REST APIs, Kafka, Cloud Technologies, Distributed Systems, and Enterprise Architecture. This is a hands-on architecture role requiring the ability to translate business requirements into robust technical solutions and collaborate closely with engineering, product, DevOps, and business stakeholders. Key Responsibilities • Design end-to-end technical solutions and application architectures using Java technologies., • Define High-Level Design (HLD), Low-Level Design (LLD), architecture patterns, and technical standards., • Architect scalable and resilient Java/Spring Boot microservices and distributed applications., • Lead solution design across application, integration, database, cloud, and infrastructure layers., • Design RESTful APIs, event-driven architectures, and enterprise integration solutions., • Architect solutions using Kafka and messaging/event-streaming technologies., • Evaluate existing applications and recommend modernization, migration, and technology strategies., • Ensure solutions meet requirements for scalability, performance, security, availability, reliability, and maintainability., • Collaborate with developers, DevOps engineers, product managers, business stakeholders, and other architects., • Provide technical leadership, conduct architecture/design and code reviews, and mentor development teams., • Support cloud adoption and application modernization initiatives., • Troubleshoot complex architectural and production issues and recommend effective technical solutions., • Establish and enforce best practices around architecture, design patterns, coding standards, and engineering quality. Required Qualifications & Skills • 10+ years of experience in Java/software engineering with significant experience in solution architecture., • Strong hands-on experience with Java 11/17+., • Strong expertise in Spring Boot, Spring Framework, and Spring Cloud., • Extensive experience designing and implementing Microservices Architecture., • Strong knowledge of REST APIs, API design, and enterprise integration patterns., • Hands-on experience with Apache Kafka and event-driven architecture., • Strong understanding of distributed systems and cloud-native architecture., • Experience with at least one major cloud platform: AWS, Azure, or GCP., • Experience with Docker and Kubernetes., • Strong SQL and database knowledge; Oracle experience preferred., • Experience with CI/CD pipelines and DevOps practices., • Strong understanding of design patterns, SOLID principles, scalability, performance optimization, and system reliability., • Experience with architecture documentation, technical design reviews, and enterprise application modernization., • Excellent communication, stakeholder-management, and technical leadership skills., • Must be comfortable working onsite in Jersey City, NJ and attending the final interview in person (F2F).

For more details, please connect with Praveen H at praveenh@vgroupinc.com or call at 609-766-2733. End Client: New York City Department of Social Services (DSS) Job Title: Cloud Infrastructure Engineer Duration: 30 Months Location: Brooklyn, NY 11238 Position Type: Contract Hours Per Week: 35 Hours Interview Type: Webcasting (Camera Required) Ceipal ID: NYCCLOU729PH Job Code: DSS-ITS-C-20260729-1 Job Description The New York City Department of Social Services (DSS) is enhancing and modernizing its enterprise infrastructure by expanding cloud-based solutions, improving system availability, strengthening cybersecurity controls, and supporting critical agency applications. The selected consultant will provide technical leadership in designing, implementing, and supporting AWS and Microsoft Azure cloud environments, enterprise server infrastructure, disaster recovery solutions, application hosting, security compliance, and infrastructure modernization initiatives. The consultant will collaborate with development, operations, and project management teams to ensure highly available, scalable, secure, and resilient technology platforms that support DSS mission-critical business systems across the agency. Key Responsibilities: • Oversee, plan, manage, and coordinate complex IT infrastructure projects from initiation through completion, including project scope, project plans, work breakdown structures, schedules, deliverables, goals, milestones, risks, resource requirements, and project signoffs using Microsoft cloud solutions., • Design, develop, implement, and maintain scalable, secure, and highly available AWS and Microsoft Azure cloud solutions supporting agency applications., • Implement and enforce cloud security best practices, including identity management, encryption, vulnerability management, and compliance controls., • Manage enterprise Windows infrastructure and direct efforts to evaluate, test, and implement new technologies., • Perform server administration, software deployment, systems operations, and activities supporting system reliability and data integrity., • Collaborate with development teams to analyze application behavior, troubleshoot usability and performance issues, review deployment configurations, and recommend infrastructure-level improvements., • Provide deployment and operational support for web servers, including application configuration, certificate management, and web services configuration and maintenance., • Ensure servers, hardware, and software operate accurately and reliably., • Troubleshoot infrastructure and application issues in collaboration with developers, infrastructure teams, and vendors., • Implement security hardening measures, monitor vulnerabilities, and maintain web server and application security to ensure ongoing protection and compliance., • Coordinate with City and State agencies, including OTI and NYSDSS, to evaluate, test, and implement emerging infrastructure technologies., • Provide hands-on administration and oversight of enterprise Windows Server environments, software deployment, systems operations, data integrity, backup, and disaster recovery., • Architect and implement end-to-end web and application infrastructure integrating firewalls, DNS, and load balancers to ensure high availability, security, and optimal performance., • Collaborate with ITS and Project Management staff to effectively complete server-related projects supporting mission-critical applications and agency business needs., • Lead and support manual and automated application deployment processes, ensuring version control, configuration consistency, rollback readiness, and minimal production downtime across environments. Required Skills: • A minimum of 4 years of experience with the following skill sets:, • Designing and implementing solutions within Amazon Web Services (AWS), & Microsoft Azure including computer, storage, networking, and serverless platforms., • Ability to troubleshoot complex production issues and perform root cause analysis in distributed environments, • Understanding current and emerging infrastructure technologies and practices and how other organizations are employing them and the ability to identify and act on opportunities for continuous improvement., • Supporting high-availability, disaster recovery, and business continuity solutions, • Strong documentation skills, including architecture diagrams, standards, and operational procedures, • Ability to lead technical initiatives and provide guidance to junior staff V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Website: _ LinkedIn: _ Facebook: _ Twitter: _

HCLTech is looking for a highly talented and self- motivated Java Full Stack Architect to join it in advancing the technological world through innovation and creativity. Job Title: Java Full Stack Architect Position Type: Full-time Job ID: 117637 Location: Jersey City, NJ Job Description Role Summary: We are seeking an experienced Full Stack Architect to design, build, and govern scalable, secure, and high-performance enterprise applications. The role requires strong hands-on expertise across front-end, back-end, microservices, cloud, and DevOps, along with the ability to guide teams and define technical standards. Key Responsibilities • Design end-to-end full stack architecture for web and enterprise applications., • Define and implement microservices-based architectures using modern frameworks., • Own application design decisions, including scalability, performance, security, and resilience., • Develop and review backend services and APIs., • Collaborate closely with UI, backend, DevOps, QA, and product teams., • Ensure adherence to coding standards, architectural best practices, and design patterns., • Perform code reviews and mentor senior and junior developers., • Drive cloud adoption, CI/CD pipelines, and DevOps best practices., • Participate in technical discussions with stakeholders and customers. Technical Skills (Mandatory) Backend • Strong expertise in Java (Core Java, Java 8+), • Frameworks: Spring Boot, Spring MVC, Hibernate, • RESTful API design, Microservices architecture, • Messaging/Event-driven systems (e.g., Kafka) Frontend • Strong knowledge of HTML5, CSS3, JavaScript (ES6+), • Modern frameworks: Angular / React, • Experience with responsive UI and reusable component design Databases • Relational: Oracle, PostgreSQL, MySQL, • NoSQL: MongoDB, • Strong SQL and performance tuning skills Cloud & DevOps • Cloud platforms: AWS / Azure / GCP, • CI/CD tools: Jenkins, Maven, • Containerization: Docker, Kubernetes, • Monitoring & logging tools (e.g., ELK, Prometheus, Splunk) Testing & Quality • Experience with Unit, Integration, and Regression testing, • Knowledge of test frameworks (Selenium, Karma, Cucumber), • Exposure to TDD / BDD practices Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field., • 18 Yrs of overall IT experience., • 5+ years architect role., • Strong problem-solving, communication, and stakeholder management skills. Nice to Have • Exposure to API gateways and integration platforms., • Experience with gRPC communication., • Knowledge of application performance monitoring tools (e.g., New Relic)., • Domain experience in Banking / Financial Services., • Familiarity with AI/ML integration at an enterprise level. Experience Level: 18+ yrs Pay and Benefits Pay Range Minimum: $128,000 per year Pay Range Maximum: $282,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the followi14520ng benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

I have a full time opportunity working remotely that is looking for an Data Management AI/Databricks Engineer to join the team. Please see the job description below and feel free to reach out with any questions. Please send a word version of your resume for consideration. This role is onsite 3 days a week in Midtown Manhattan. It is $150-$160k, plus discretionary bonus. As a Senior Data Engineer, you will own the design and delivery of complex data engineering solutions that power enterprise analytics, AI, and reporting capabilities. Reporting to the Lead Data Engineer, you will drive technical decisions, set engineering standards, and ensure the reliability and scalability of data platform across 40+ integrated enterprise source systems. This role demands deep technical mastery in SQL, Python, and Azure cloud data engineering, combined with a product orientation—understanding how the data assets you build translate into decisions, reports, and AI outputs for the business. You will mentor Data Engineers, contribute to architectural direction, and serve as a technical anchor for delivery across the team's sprint cycles. Advanced Pipeline Development & Ownership • Architect, build, and own complex data pipelines for high-volume, high criticality workstreams across enterprise data platform., • Lead the design and implementation of ELT/ETL frameworks using SQL, Python, Azure Data Factory, Databricks, and Azure Synapse Analytics., • Establish pipeline reliability standards—monitoring, alerting, error handling, and recovery protocols—and ensure adherence across the team. Data Architecture & Platform Evolution • Drive the design of scalable data models supporting dimensional warehousing, data lake architectures on Azure., • Contribute to architectural decisions on data storage, partitioning, compute optimization, and consumption layer design., • Lead migrations from legacy data solutions to modern cloud-native platforms, managing risk and business continuity throughout. AI & Analytics Enablement • Design and deliver feature pipelines and data preparation frameworks that support machine learning model development and deployment., • Partner with Data Scientists to translate model requirements into production-grade data assets and feature stores., • Collaborate with Analytics Engineers to ensure data models are optimized for analytical consumption and reporting performance. Data Quality & Governance Leadership • Define and implement data quality frameworks—validation rules, SLAs, anomaly detection, and automated testing for pipeline outputs., • Lead data governance initiatives including metadata management, lineage tracking, data cataloging (Microsoft Purview), and access control., • Ensure platform compliance with HIPAA, data policies, and applicable regulatory requirements. Mentorship & Technical Leadership • Mentor Data Engineers—providing code reviews, technical guidance, and architectural feedback that elevates team capability., • Contribute to engineering standards, reusable frameworks, and technical documentation., • Participate in Agile ceremonies and model strong engineering discipline—clear DevOps hygiene, sprint commitment, and delivery accountability. Education: • Bachelor's degree in computer science, Data Science, Information Technology, or a related quantitative field. Experience: • 6+ years of progressive experience in data engineering with demonstrated ownership of complex, production-grade data platforms., • Expert-level SQL (query optimization, indexing strategy, execution plans) and Python (PySpark, pipeline frameworks, testing)., • Deep hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage., • Proven experience designing dimensional data models and data lake architecture at enterprise scale., • Experience building data pipelines that directly support machine learning feature engineering and model serving., • Strong background in data quality engineering—automated validation, SLA enforcement, and lineage tracking., • Experience with relational databases (SQL Server, Oracle) and migration from legacy to cloud-native platforms. Certifications & Licenses: The following are considered favorable: • Microsoft Certified: Azure Data Engineer Associate, • Databricks Certified Associate Developer for Apache Spark Knowledge: • Advanced SQL and Python for enterprise-scale data engineering—optimization, testing, and framework design., • Azure data platform architecture in depth—ADF, Databricks, Synapse, ADLS, and their integration patterns., • Modern data platform paradigms—data lake, medallion architecture, data mesh concepts, and consumption layer design., • Machine learning pipeline requirements—feature engineering, training data preparation, and model data dependencies., • Data governance frameworks—metadata management, lineage, cataloging, access control, and regulatory compliance (HIPAA)., • Agile engineering practices—sprint delivery, DevOps hygiene, CI/CD for data pipelines, and technical documentation standards. Skills: • Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds., • Architect and deliver complex, production-grade data pipelines that meet enterprise reliability and performance standards., • Design scalable data models and platform structures that serve analytics, reporting, and AI consumption patterns simultaneously., • Lead data quality engineering—automated testing, validation frameworks, SLA monitoring, and incident response., • Mentor and elevate Data Engineers through code review, architectural feedback, and knowledge transfer., • Translate product and analytical requirements into sound engineering designs and delivery plans. Abilities: • Communicate complex data concepts clearly to both technical and non-technical stakeholders., • Work independently and manage competing priorities in a lean, fast-paced team environment., • Embrace accountability and take ownership of deliverables end-to-end., • Incorporate feedback constructively and seek continuous improvement. Lori Sklarski Senior Technical Recruiter PRI Technology P: 973.732.5454 x27 C: 973.432.9968 F: 973.732.5456 Lori.sklarski@pritechnology.com