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Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About RapidScale: At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid cloud environments, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google Cloud, our solutions are built around business outcomes, cyber resilience, and operational excellence-backed by the strength of the Cox family of companies. Role Overview As the Senior Director of Solutions Architecture, you will lead RapidScale's national pre-sales and solution strategy organization for our cloud managed services business. You'll define how RapidScale designs, positions, and delivers cloud and modernization solutions across public cloud (AWS, Azure, GCP), private/hosted cloud, and hybrid environments, ensuring every architecture aligns to client outcomes and our managed service capabilities. You'll oversee regional and domain-aligned architecture leaders across Private Cloud, Public Cloud, AI, Data, Application, and Security practices - guiding them to create scalable, cost-optimized, and resilient solutions that bridge the gap between traditional IT and modern cloud operations. Your mission: elevate architecture from solution design to business value realization, ensuring RapidScale's offerings accelerate our clients' digital transformation and managed service adoption while driving revenue and margin growth. In this role, you will: • Define and execute the national Solutions Architecture strategy that underpins RapidScale's managed cloud and modernization business objectives, • Lead and mentor senior Solutions Architecture leaders and their teams, • Drive alignment between Sales, Marketing, Product, and Service Delivery, ensuring that every proposed solution is both technically sound and operationally supportable within RapidScale's managed service framework, • Engage with enterprise clients at the executive level, shaping cloud transformation roadmaps, modernization journeys, and financial justification (TCO/ROI), • Serve as the executive sponsor for strategic pursuits, partnering with Sales Executives and Product leaders to close complex, multi-million-dollar opportunities, • Evolve and standardize architecture methodologies to support repeatable, scalable solution design across all service lines (Cloud, AI, Data, Security, App Modernization), • Collaborate with Product and Operations teams to refine managed service offerings based on field and client feedback, • Represent RapidScale's technical vision at key industry events, partner summits, and client advisory boards, • Measure impact through KPIs - including technical win rates, attach rate of managed services, and architecture influence on revenue and gross margin What Technical Attributes We're Looking For in You • Deep expertise across public cloud (AWS, Azure, GCP) and hybrid cloud architectures (VMware, hosted private cloud, colocation, and edge), • Proven experience integrating managed services into solution architectures - from design through steady-state operations, • Familiarity with multi-cloud management, FinOps, and automation frameworks, • Strong understanding of AI/ML, data modernization, and application modernization patterns, • Executive-level understanding of security, compliance, and governance frameworks across regulated industries, • Ability to connect technical architecture to business impact, articulating how solutions reduce cost, improve agility, and enhance resilience What General Attributes We're Looking For in You: • Executive-level leader with a proven record building and scaling technical pre-sales and architecture teams within a managed service provider or consulting environment, • Strong commercial acumen with a focus on margin optimization, attach rates, and service adoption, • Strategic thinker who excels at translating technology capability into go-to-market differentiation, • Skilled at executive storytelling and influencing, able to engage both CxO audiences and technical decision-makers, • Passionate about developing technical talent and creating a culture of collaboration, accountability, and client obsession, • Comfortable driving change in a fast-paced, cross-functional, growth-oriented environment Minimum Qualifications • Bachelor's degree in a related discipline and 10 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 8 years' experience; a Ph.D. and 5 years' experience in a related field; or 14 years' experience in a related field15+ years of experience in cloud architecture, pre-sales engineering, or technical leadership roles, • 8+ years of experience leading large, distributed technical teams - including regional or national leadership Preferred Qualifications • Proven experience working in or with a cloud managed service provider, systems integrator, or large-scale consulting firm, • Demonstrated success driving architecture strategy, solution innovation, and technical sales enablement for managed or cloud services offerings USD 215,600.00 - 359,300.00 Compensation: Compensation includes a base salary in the range of $215,600.00 - $359,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 155,200.00 - 232,800.00 Compensation: Compensation includes a base salary in the range of $155,200.00 - $232,800.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns. * At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications • Degree in Computer Science or a Master’s Degree in Software Engineering, • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management), • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference, • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Go, Scala or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. • Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making., • Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems., • Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment., • Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards., • Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards., • Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing., • Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning., • Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization., • Expertise with reporting tools, software, and other applications., • Established experience as a BI developer, creating interactive reports, visualizations, and data modeling., • Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M., • Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs)., • Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks., • Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables., • Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning., • Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers., • Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models., • Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified., • Advanced Microsoft Fabric experience., • Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis., • Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage., • Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks., • Microsoft Fabric Analytics Engineer certification (in progress or completed)., • A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ___ if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ___. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior M3 Solution Lead Hybrid work model: 2/3 days per week onsite in Long Island City Base salary from $120,000-$150,000 One of our clients, a major Retailer, is looking for a Senior M3 Solution Lead Permanent HYBRID position with excellent compensation package and benefits. Location: Metro NY area ** Must be authorized to work for ANY employer in US H1B visa transfer is OK Please read the description below and to be considered immediately email your resume to with your rate/salary history/requirements. Responsibilities Business Analysis & Process Optimization: Partner with stakeholders across Supply Chain, Finance, Retail, Manufacturing, and Operations to understand business needs and translate them into optimized M3 solutions. Evaluate existing workflows and identify gaps, inefficiencies, and opportunities for business process improvement. Document business requirements, functional specifications, test cases, and process flows. Lead workshops, discovery sessions, and process mapping exercises. M3 Functional Expertise: Configure and support M3 modules aligned with our business processes. Manage and support M3 master data governance, security roles, and functional administration. Troubleshoot complex functional issues (Level 2/3 support). Support testing cycles, release management, upgrades, and patching efforts. M3 Technical & Integration: Collaborate with technical teams using MuleSoft, MEC, APIs, and other integration platforms. Support interface design and troubleshooting across systems including POS, Ecommerce, WMS, PLM, and GTNexus. Work with M3 technical constructs such as tables, batch jobs, and data structures. Assist with data migration and validation for CloudSuite. Project & Change Management: Serve as a senior resource for ERP enhancement projects and the CloudSuite migration. Participate in project planning and requirements prioritization. Develop and deliver end-user training. Maintain documentation and support change control processes. Essential duties include M3 Functional Expertise: Configure and support M3 modules aligned with our business processes. Manage and support M3 master data governance, security roles, and functional administration. Troubleshoot complex functional issues (Level 2/3 support). Support testing cycles, release management, upgrades, and patching efforts. M3 Technical & Integration Responsibilities: Collaborate with technical teams using MuleSoft, MEC, APIs, and other integration platforms. Support interface design and troubleshooting across systems including POS, Ecommerce, WMS, PLM, and GTNexus. Work with M3 technical constructs such as tables, batch jobs, and data structures. Assist with data migration and validation for CloudSuite. Qualifications 5+ years of hands-on experience with Infor M3 ERP in a techno-functional, business analyst, or consultant role Experience configuring M3 and working with tools such as H5, XtendM3, CMS, LCM, IDM, and APIs Strong understanding of M3 tables, data structures, batch jobs, and integration concepts Strong capability to create functional and technical specifications Excellent communication and collaboration skills Experience with IBM iSeries M3 and/or CloudSuite M3 on AWS preferred Familiarity with MuleSoft, MEC, and enterprise integrations preferred Experience with connected systems such as Manhattan WMS, GTNexus, PLM, POS, or Shopify preferred Industry experience in Retail, Apparel, Footwear, or Consumer Goods. Experience with ERP upgrades or cloud migrations. Bachelor’s degree or equivalent experience Use this link to apply directly: Or email: Check ALL our Jobs:

Immediate contract opportunity for SAP Systems Engineering Specialist with direct client in New York, NY. This position will serve to reinforce the ERP Project's capacity in respect of Systems Engineering, specifically concerning the ongoing design, build, deployment, maintenance and optimization of the organization's SAP ERP system covering both the various SAP systems and applications part of the On-Premise landscape as well as the integration of select SAP Cloud applications and solutions. Reporting to ERPSD Basis staff, the SAP Engineering specialist will support the following major work areas: • Provide technical expertise and support work in respect of the ERP’s on-premise SAP landscape, such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Provide architecture and design assessment for the implementation of SAP Cloud-based solutions in integration with On-premise SAP systems, following SaaS/Paas models and relevant industry best practices. • Assists across the spectrum of the ERP’s production support work, including upgrades, system/component installation, installation of patches and Support pack stacks, landscape maintenance, HANA administration & security and transport management. • Supports the effective optimization of SAP NetWeaver security standards to ensure secure communication between distributed systems, with SAP data storage and network security, inter alia. Specific task areas: SAP System Engineering, Basis administration and Production support operations: • Support SAP Basis workstream activities including, but not limited to, performing transports, landscape and instance maintenance, client copies, system refreshes, system installation, support pack stack upgrades, software release management, problem determination, resolution and incident management • Lead and execute SAP HANA upgrades in complex MCOS and high-availability landscapes, working experience with HPE ServiceGuard is a plus. • Demonstrate in-depth expertise in SAP IDM and SRM/MDM platform administration, including installation, configuration, upgrades, repository management, and integration with enterprise identity services. • Manage SAP MDM 7.02 components and ensure seamless integration with SAP NetWeaver Portal, SRM, and PI systems. • Possess in-depth knowledge of SAP Solution Manager in order to support ChaRM setup, retrofit processes, Focused Run configuration, system monitoring, and job monitoring capabilities. • Assist with Redwood RunMyJob for SAP ABAP systems, including installation, upgrades, job scheduling, queue setup for system maintenance, queue monitoring, and advanced troubleshooting. • Engage with the ERP’s functional team to drive system performance monitoring, testing and tuning as required, including with respect to SAP cloud integration with On-premise. Technical Architecture of SAP Cloud with SAP On-premise Landscapes and Applications: • Support and maintain infrastructure platform, network, security and storage components in a cloud environment working with VMWare, Storage subsystem, Network components such as Load Balancer, Secure Socket Layer communication, VPN etc. • Design and support of High Availability/DR Solutions and Backup and Recovery solutions for enterprise applications and database in a public, private or hybrid cloud environments. • Assess the architecture and best practices for the integration of SAP Cloud solutions with the SAP On-premise Umoja solution. • Support the actual engineering and integration of On-premise SAP solution with cloud-based solutions provided by 3rd party vendors like Azure, AWS and Google Cloud Platform. • Lead the planning of possible migrations of On-premise systems into SAP’s Cloud infrastructure and assist in the implementation. • Lead technical aspects of SAP Cloud-based solutions regarding data protection, SSO solution for external applications SAP Business Technology Platform • Design and architect end-to-end solutions for SAP BTP including application setup and integration with cloud and on-premises application. • Assist with producing technical specifications and architecture diagrams. • Configure identify authentication and provision services using SAP IAS/IPS. Implement OAuth2, JWT, SSO (principal propagation) • Configure and administer SAP BTP subaccounts, Cloud Connector integrations, hybrid connectivity setups, and associated authorization frameworks. Security [SAP NetWeaver System, Network, Applications, Data] • Enable SAP applications for internet facing solutions by designing and implementation of SAP network security standards between SAP systems using Secure Network Communication (SNC) and SSL (Secure Socket Layer) technologies. • Design solution to protect data, filesystem and backup using encryption. • Analyze and apply SAP Security Hot News and Patches Qualifications and experience: • A minimum of 12 years of specific experience with SAP Basis and SAP Systems engineering technical work, including architectural roadmaps and end-to-end execution of upgrades, migrations, performance optimization and technical integration such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, BOBJ, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Experience shall include at least 5+ years of HANA administration [HA and DR]. • Experience shall include system sizing and performance optimization as well as the connecting points of the same with hardware and Infrastructure-related components. • Working experience of BTP Integration Suite, SAP Build Apps/Process Automation, Cloud connector • Working experience with VMWare and Linux. • At least one full life cycle S/4HANA implementation/migration experience of SAP Cloud solutions (PaaS/SaaS) including technical evaluation, roadmap planning (readiness/simplification remediation), architecture integration design, migration and deployment of SAP solutions to Cloud environment (AWS, GCP or Azure) • Security experience shall include hands on experience to architect authorization in Application and HANA DB layers along with managing audit requirements. End to End full SAP HANA life cycle security implementations experience would be a plus. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify® Employer.

Senior DevOps Architect needed to design and lead implementation of a secure, scalable, and fully integrated DevOps platform across cloud, CI/CD, and enterprise tooling. Key Responsibilities: Architect end-to-end DevOps platform integrating GitHub Enterprise, Terraform Enterprise, AWS, and JFrog ecosystem Define secure CI/CD pipeline patterns, IaC standards, and governance frameworks Lead implementation of security controls, including SAST/DAST, secrets management, IAM, and policy-as-code Design and guide integration across enterprise tools (Jira, ServiceNow, qTest) into CI/CD workflows Establish observability, resiliency, and performance standards (Grafana, logging, DR/HA strategies) Provide technical leadership for validation, migration of pipelines, and platform standardization Key Qualifications: Deep expertise in DevOps architecture, CI/CD, and cloud-native platforms (AWS) Strong experience with Terraform Enterprise, GitHub Actions, and containerized runners (EKS) Background in DevSecOps, including security scanning and compliance frameworks Experience in integrating enterprise SDLC and ITSM tools into automated pipelines The client is based in the New York Metropolitan area for this 100% remote opportunity. The qualified candidate must be able to work East Coast hours. Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa currently. We are unable to work with third-party companies. For additional information and immediate consideration, please email your resume and LinkedIn profile to .

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

ROLE SUMMARY The Senior Infrastructure Architect is responsible for designing and implementing enterprise‑class infrastructure solutions that support organizational objectives. The role focuses on defining technology standards, leading integration and migration efforts, optimizing performance, and ensuring alignment with security, compliance, and architectural best practices. This position requires deep technical expertise across cloud and on‑premises systems, strong strategic planning capabilities, and the ability to guide complex infrastructure programs from concept through execution. ROLE RESPONSIBILITIES Lead infrastructure integration activities across user experience, collaboration platforms, data center/cloud architecture, directory services, and Office 365 environments.Collaborate with enterprise architecture to design and publish standards, blueprints, patterns, principles, best practices, and technical guidelines.Define strategic direction for public cloud, directory services, collaboration services, network, storage, server platforms, databases, and security technologies.Promote the use of shared systems and tools to reduce costs and enable cross‑team collaboration.Ensure solutions do not duplicate existing capabilities and remain aligned with IT and business strategies.Serve as a level‑4 escalation point for operational teams, providing problem resolution and root‑cause analysis.Plan lifecycle and refresh cycles to ensure solutions align with the broader application, desktop, network, server, and storage ecosystem.Develop and maintain a long‑term infrastructure technology vision, assessing current capabilities and future needs.Ensure installations and upgrades follow all policies, procedures, and licensing requirements.Identify, implement, and monitor best practices for infrastructure architecture.Review software requirements and design solutions for high availability and disaster recovery. TECHNICAL QUALIFICATIONS Minimum 12 years of IT infrastructure experience, including at least 5 years working as an infrastructure architect.Ability to lead Infrastructure and DevOps teams in delivering enterprise‑grade solutions.Expert knowledge of Windows Server, enterprise networking, public cloud IaaS/PaaS, Microsoft Exchange/Office 365, Active Directory/Entra ID, SQL Server, virtualization platforms, and enterprise SAN storage.Cloud certifications in Azure or AWS at the architecture level. GENERAL QUALIFICATIONS Strong understanding of enterprise application infrastructure and experience designing enterprise‑class architecture.Excellent written and verbal communication skills.Ability to present architectural recommendations to C‑level executives.Experience leading complex infrastructure projects.Experience supporting merger and acquisition infrastructure planning.Strong analytical skills and ability to understand the broader technology landscape.High curiosity and interest in emerging technologies.Strong negotiation and influencing skills.Experience in IT consulting preferred.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking Senior Oracle PL/SQL Developers with expert-level command of the Oracle RDBMS, SQL, and PL/SQL. You will be responsible for the architecture, development, and performance optimization of Oracle databases, including complex PL/SQL packages, triggers, types, and data pipelines. We're looking for somebody who is a confident problem solver, proactively challenges traditional solutions, and brings strong opinions on code quality and maintainability. You will also have opportunities to contribute to Java Spring Boot microservices, and modern front-end applications built with Angular and TypeScript. Responsibilities include, but are not limited to, the following: Oracle database full life-cycle development including data modeling, database architecture, SQL and PL/SQL development, performance tuning, unit testing, and production support. Design and implement efficient, maintainable database solutions for high-volume, web-based applications serving DoD customers. Contribute to architecture decisions and drive implementation of changes across our product base. Develop detailed technical analysis and design specifications from functional and compliance requirements. Collaborate closely with developers, DevSecOps engineers, designers, and analysts to solve complex problems. Create, refactor, and improve reusable database objects with an emphasis on modularity and testability. Profile, optimize, and tune SQL queries and execution plans for performance at scale. Establish and enforce coding standards, peer review practices, and documentation norms. Support CI/CD pipeline integration for database change management (Liquibase, Flyway, or equivalent). Knowledge and Skills: 7+ years of hands-on experience developing Oracle SQL and PL/SQL in production environments. Strong understanding of Oracle performance tuning tools and techniques (AWR, ASH, execution plan analysis, indexing strategies). Experience with CI/CD tooling (Jenkins, GitLab CI, or GitHub Actions) and Git-based source control workflows. Familiarity with database migration and version control frameworks (Liquibase, Flyway). Disciplined approach to testing and quality assurance, including experience writing unit tests for PL/SQL (utPLSQL or similar). Experience with containerized deployment environments (Docker, Kubernetes) is a plus. Experience developing Java Spring Boot applications is a plus. Experience with modern front-end frameworks (Angular, React, or Vue) and TypeScript is a plus. Exposure to cloud-hosted Oracle environments (AWS RDS, OCI) is a plus. Education and Work Experience: Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science, or a related field is preferred. A Bachelor's degree may be waived with commensurate years of relevant professional experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment may be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $125,000 - $145,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions. • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. • Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions. • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. • Take ownership of release planning, change management, and stakeholder engagement to ensure project success. • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. • Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures. • Application Development: Expertise in developing event-driven and microservices based architectures using Java, Python, and modern frameworks. • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation. • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing. • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives. • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event driven architectures and streaming data solutions. • Strong leadership experience in managing teams and delivering complex projects in Agile environments. • Proficiency in integrating Generative AI solutions into existing platforms and workflows. • Excellent communication and stakeholder management skills to collaborate across diverse teams.

AWS Cloud Solutions Architect / Cloud Engineer NYC, NY 37.50 hours per week Client is seeking an experienced Amazon Web Services {AWS} Cloud Solution Architect. Responsibilities include, among others, teaming with our internal teams and partners in the development of our AWS services practice, managing a team of cloud developers and architects, scoping AWS solutions for new service opportunities. The ideal candidate will have experience in architecting Cloud solutions for enterprise-level customers and has at least 3 years of AWS delivery experience. Responsibilities: • Collaborate with our AWS alliance led to formulate and execute strategy through AWS adoption., • Manage our growing cloud services delivery team of developers and architects., • Serve as AWS evangelist, educating internal clients of all sizes on the value proposition of AWS., • Participate in deep architectural discussions to build confidence and ensure client success when building new and migrating existing applications and services on AWS., • Establish credibility and build deep client relationships with senior technical staff and enable them to be cloud advocates., • Support the initiatives of the Cloud Architect, to design and implement solutions for infrastructure automation and to support application developers with setting up and maintaining application environments. Required Experience: • BA/BS in related field., • Minimum three {3} years hands-on experience designing and deploying cloud architecture on AWS., • Provided clients/customers with best practices guidance on architectural design across multiple applications, projects, and clients., • Built architectures and provided prescriptive guidance across network, storage, operating systems, virtualization, databases, etc., • Designed and deployed dynamically scalable, highly available, fault tolerant, and reliable applications on AWS., • Has served as a team lead in a consultative role on customer engagements involving software application projects., • Ability to be hands-on in leadership roles as well as manage others to execute and deliver project deliverables. Preferred: • Certified AWS Solutions Architect - Associate OR, • Certified AWS Solutions Architect - Professional.

Role: Senior Application Security Architect Location: Rockville, MD or Tysons Corner, VA or Woodbridge, NJ or Jersey City, NJ (3 days onsite & 2 days remote per week) Job Description: Senior Application Security Architect The Senior Application Security Architect is responsible for designing, implementing, and overseeing enterprise-wide application security architecture and standards. This role focuses on establishing security frameworks, conducting architecture reviews, developing security baselines, and leading strategic security initiatives that have broad impact across the organization. The position requires a blend of technical expertise, architectural thinking, and leadership to embed security throughout the software development lifecycle. We are looking for a versatile resource who can handle multiple tasks at the same time and have great attitude. Job Responsibilities: • Design and establish enterprise application security architecture frameworks and reference models aligned with business objectives and risk tolerance, • Lead architecture reviews of applications and systems to identify security gaps and recommend appropriate controls, • Develop and maintain security baselines, standards, and patterns for different technology stacks (web, mobile, API, microservices) and deployment models, • Create and evolve threat modeling methodologies (STRIDE, PASTA, OCTAVE) and facilitate threat modeling sessions with development teams, • Define secure coding standards and security requirements for different application types based on data classification and risk profile, • Architect security solutions for authentication, authorization, encryption, and secure communication channels, • Establish security guardrails for cloud-native applications, serverless architectures, and infrastructure-as-code implementations, • Design and implement API security strategies including OAuth/OIDC flows, API gateways, and rate limiting, • Integrate security architecture principles into CI/CD pipelines to support DevSecOps initiatives, • Evaluate and recommend security tools and technologies for the enterprise security tech stack, • Develop security architecture roadmaps and guide implementation of security capabilities, • Partner with development teams to design secure solutions that balance security requirements with business needs, • Lead strategic security initiatives with enterprise-wide impact, • Leverage GenAI technologies to enhance security architecture reviews and automate security analysis, • Maintain documentation of security architecture decisions, patterns, and reference implementations, • Develop and deliver security architecture training to raise security awareness among developers and architects, • Stay current with emerging security threats, technologies, and architectural approaches, • Perform security design reviews for new applications and major changes to existing applications, • Architect secure data handling practices including encryption at rest and in transit Qualifications: • Bachelor's degree in Computer Science, Information Security, or related technical field required, • 5+ years of experience in application security, with at least 2 years in security architecture roles, • Deep knowledge of secure design principles, threat modeling methodologies, and security patterns, • Experience designing security controls for cloud environments (AWS, Azure, GCP), • Proficiency in evaluating and implementing application security tools (SAST, DAST, IAST, SCA), • Hands-on experience with security testing tools such as Burp Suite, OWASP ZAP, and other proxy tools, • Experience with secure software development practices and DevSecOps implementation, • Strong understanding of OWASP Top 10, SANS CWE, and other security standards, • Knowledge of secure authentication mechanisms (MFA, SSO, OAuth 2.0, SAML, OIDC), • Experience with secure API design and implementation of API security controls, • Knowledge of regulatory requirements (PCI-DSS, GDPR, SOX, etc.) and their architectural implications, • Experience with containerization, microservices, and API security, • Proficiency in one or more programming languages (Java, Python, JavaScript preferred), • Experience with secure code review techniques and identifying common vulnerability patterns, • Knowledge of cryptographic protocols and implementations, • Experience with security requirements for modern application architectures (SPA, serverless, etc.), • Excellent communication skills with ability to translate complex security concepts to technical and non-technical audiences, • Experience leading cross-functional security initiatives and influencing stakeholders Certifications such as CSSLP, CISSP, AWS Security Specialty are highly desirable

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Channel Manager Location: Brooklyn, NY (Hybrid) Experience: 5+ years in Channel Sales, Partnerships, or Cloud Ecosystem Management (AWS/GCP/Azure preferred) About North The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud infrastructure. As AI accelerates demand for scalable compute, cloud costs are rising fast, yet most teams still manage them in spreadsheets. At North, we’re building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently without waste. We work across AWS, GCP, and soon Azure, helping technical and finance teams optimize commitments, allocate costs, forecast spend, and automate savings. Backed by top-tier investors and trusted by customers like Brave, The New York Public Library, and SumUp, we’re assembling a world-class team to redefine how businesses manage cloud infrastructure. About the Role We’re hiring our first Channel Manager to build and scale North’s reseller and distribution strategy. This role will own entry, onboarding, and relationship management for cloud resellers, distributors, and strategic ecosystem partners. You’ll design how North works with channel partners from the ground up, defining incentives, enablement, deal flow processes, and ongoing relationship strategy. This is a high-ownership, builder role. You won’t inherit a mature channel machine, you’ll create it. You’ll work closely with the CEO, GTM leadership, Sales, and Product to ensure our partner ecosystem becomes a scalable revenue engine. What You’ll Do Build the Channel Motion (0→1) • Design and implement North’s reseller and distribution strategy., • Identify and prioritize ideal partner profiles (AWS/GCP/Azure resellers, MSPs, FinOps consultants, distributors)., • Define partner tiers, incentives, and compensation structures., • Recruit and onboard new channel partners., • Build training materials and sales enablement resources., • Ensure partners understand North’s product, positioning, and differentiation., • Serve as the primary point of contact for reseller and distribution partners., • Conduct quarterly business reviews (QBRs) and pipeline check-ins., • Track partner-sourced revenue and performance metrics., • Collaborate with Sales on partner-sourced and partner-assisted deals., • Deepen relationships within AWS, GCP, and Azure partner ecosystems., • Identify co-marketing and co-selling opportunities., • Represent North at ecosystem events, partner summits, and industry conferences. What We’re Looking For • 5+ years in channel sales, partnerships, or ecosystem management., • Experience working within AWS, GCP, or Azure partner ecosystems., • Experience building or scaling a reseller/channel program. Strong understanding of cloud infrastructure and SaaS revenue models., • Comfortable owning revenue targets and partner-sourced pipeline., • Builder mindset — comfortable operating without rigid structure., • Excellent relationship management and negotiation skills., • Strong operational discipline with the ability to design repeatable systems., • Strong network within the cloud reseller ecosystem., • Based in NYC and excited to collaborate in-office (Hybrid, Dumbo Brooklyn). Nice to Have • Experience at AWS, GCP, Azure, or a major cloud reseller/distributor., • Background in FinOps, DevOps tooling, or cloud cost optimization., • Experience working in Series A–C SaaS environments., • Familiarity with marketplace motions (AWS Marketplace, etc.)., • Experience building partner compensation models from scratch. Why This Role Matters Channel will be a core revenue lever for North. As cloud spend grows and companies seek cost optimization partners, resellers and ecosystem relationships will play a critical role in how customers discover and adopt North. You’ll help define how we scale beyond direct sales, turning strategic partnerships into a predictable growth engine. Work Setup Hybrid role based in New York City, with an office in Dumbo, Brooklyn. Benefits • Unlimited PTO, • 16 weeks of paid parental leave (birthing parents receive an additional 4 weeks at 50% pay), • Two company-wide breaks per year: one around Labor Day and one at the end of the year, • Aetna Medical PPO plan with the majority of the premium covered by North, • Dental and vision insurance, • Flexible spending account (FSA) for health expenses and commuter benefits, • 30 day sabbatical every 4 years Compensation $130,000 – $175,000 base salary + performance-based variable Equity included (Comp structure flexible depending on seniority and channel experience.)

Senior MLOps Engineer New York, New York - 4 days onsite $160,000 - $180,000 + bonus THE COMPANY Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale. RESPONSIBILITIES • You will be responsible for machine learning model deployment and scalability for the company's AI platform, • You will report directly to senior leadership and work closely on technical direction, • Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications, • You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems, • Own CI/CD pipelines for MLOps / LLMOps, • You will play an integral role of building out the AI team and scaling out its product, • Act as a thought leader role for AI across the business SKILLS AND EXPERIENCE • 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models, • Expertise in Python (TensorFlow, PyTorch) for production-grade work, • Commercial experience building novel AI platforms with large datasets, • History of working with and managing real-time AI applications in production settings, • Fluency with low-latency distributed systems is preferred, • Cloud experience in AWS, Azure or GCP, • DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform, • Container experience with Docker or similar, • History of working on models from concept to production / end-to-end / 0-1, • Software engineering foundation: debugging, testing, maintainable code design, • Domain experience in fintech or similar a plus, • History of partnering with non-technical stakeholders required, • Experience owning projects directly preferred, • BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform

Senior Backend .NET Developer Contract Position with a Major Investment Firm Location: Newark, NJ – Hybrid (3 days onsite: Tuesday, Wednesday, Thursday preferred) Remote candidates may be considered C2C candidates are welcome Pay rate: Up to $70hr on w2 and $80hr on C2C We are seeking a Senior Backend .NET Developer with strong experience building scalable backend applications and cloud-based services in AWS environments. This role is focused on backend development and requires deep expertise in C#, .NET Core, API development, and cloud infrastructure. Experience working in regulated or financial services environments is a plus. Responsibilities • Develop, enhance, and maintain backend applications using C#, .NET Core, and ASP.NET Core, • Design, build, and support RESTful APIs and microservices architectures, • Deploy, manage, and optimize applications running on AWS EC2 environments, • Work with AWS services including S3, RDS, CloudWatch, IAM, and Load Balancers, • Collaborate with front-end developers integrating applications with React-based interfaces, • Participate in architecture discussions, technical design sessions, and code reviews, • Troubleshoot and resolve complex technical issues across the application stack, • Ensure applications meet security, compliance, scalability, and performance standards, • Contribute to CI/CD automation and deployment processes Required Qualifications • 10+ years of backend development experience, • Strong expertise with C#, .NET Core, and ASP.NET Core, • Strong understanding of backend architecture principles and design patterns, • Hands-on experience deploying and managing applications in AWS EC2 environments, • Experience working with relational databases such as SQL Server or PostgreSQL, • Strong experience with Entity Framework Core, • Experience with Docker and CI/CD pipelines, • Strong troubleshooting, debugging, and performance optimization skills Preferred Qualifications • Experience working in financial services or highly regulated environments, • Basic to intermediate React experience, • Experience with AWS ECS, EKS, or Lambda, • Experience with Infrastructure as Code tools such as Terraform or CloudFormation, • Experience with event-driven architectures using SNS, SQS, or Kafka, • Experience with automated testing frameworks Additional Information • This is primarily a backend-focused engineering role, • React knowledge is beneficial but not required, • Candidates with experience building secure enterprise applications are highly preferred, • Strong collaboration and communication skills are important for working across cross-functional engineering teams

Technical Lead - Full Stack Engineering (P&C Insurance) Location: Hybrid – Manhattan, New York / Atlanta, GA Compensation: $140,000-$200,000 base + bonus + 401(k) match + comprehensive benefits Overview A leading global property & casualty insurance organization is seeking a hands-on Technical Lead - Full Stack Engineering to drive the development and delivery of modern, scalable insurance applications. This role sits at the intersection of engineering excellence and business impact, playing a key part in building next-generation digital products that support underwriting, claims, billing, and broader insurance operations. This individual will lead from the front—owning architecture, guiding engineering teams, and delivering high-quality, end-to-end solutions in a fast-paced, transformation-focused environment. Key Responsibilities • Lead end-to-end development of full stack applications, from requirements and architecture through deployment and ongoing support, • Design and implement scalable, secure, and reusable solutions aligned with enterprise architecture standards, • Act as a hands-on technical leader, contributing to coding, design reviews, and complex problem solving, • Guide and mentor engineering teams, fostering best practices in software development, code quality, and performance, • Partner with product, business, and technology stakeholders to translate requirements into impactful technical solutions, • Drive delivery planning, including estimation, sprint execution, and release management, • Champion modern engineering practices including CI/CD, test automation, and DevOps methodologies, • Identify risks and proactively resolve technical and delivery challenges, • Apply domain knowledge to ensure solutions align with P&C insurance workflows and regulatory requirements Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, • 8–10+ years of software engineering experience, with strong full stack development expertise, • Proven experience leading delivery of complex, enterprise-scale applications, • Strong hands-on experience with modern tech stacks, including:, • Back-end: .NET, Node.js, or similar, • Front-end: React, Angular, or Vue, • Cloud platforms: AWS, Azure, or GCP, • APIs and microservices architecture, • Relational and NoSQL databases, • Experience designing scalable application and integration architectures, • Strong understanding of Agile development, CI/CD pipelines, and modern DevOps practices, • Excellent communication skills with the ability to engage both technical and business stakeholders, • Demonstrated ability to mentor engineers and build high-performing teams Preferred • Experience within P&C insurance, including policy, claims, billing, or underwriting systems, • Exposure to insurance platforms such as Guidewire, Duck Creek, or Majesco, • Experience supporting large-scale digital transformation initiatives, • Cloud or architecture certifications (AWS, Azure, GCP) If you are interested in learning more or would like to be considered, please reach out to the James Search Group team directly or apply via LinkedIn with your resume. Our client is an equal opportunities employer and welcomes applications from all qualified individuals.

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. Title Of The Role: Senior Backend Engineer (Exchange Infrastructure) Location: New York, NY Company Stage: High-Growth / Late-Stage (Marketplace / Fintech) Office Type: Onsite Salary: $200,000-$400,000 + Equity Company Description This rapidly scaling fintech marketplace enables users to trade on real-world event outcomes, transforming collective sentiment into real-time, market-driven probabilities. With tens of billions in trading volume and growing adoption as an alternative source of truth, the company is building the next generation of financial and information infrastructure. The platform operates at the intersection of trading systems, distributed systems, and real-time data—requiring highly performant, reliable, and scalable backend infrastructure to support continued growth. What You Will Do • Design and build low-latency, high-throughput backend systems powering the core exchange, • Implement scalable services for order processing, market data, and transaction workflows, • Optimize systems for performance, focusing on latency, throughput, and memory efficiency, • Develop and maintain distributed systems, including APIs, event-driven architectures, and data pipelines, • Debug and resolve production issues in complex, high-performance environments, • Own reliability, availability, and scalability of backend systems, • Collaborate with product, infrastructure, and data teams to ensure seamless system integration, • Contribute to architecture decisions, code quality, and engineering best practices Ideal Background • 4–7+ years of backend engineering experience, • Strong proficiency in systems programming languages (C/C++ preferred; Go, Rust, or Java acceptable), • Deep understanding of algorithms, data structures, concurrency, and memory management, • Experience building low-latency, high-throughput systems in production, • Strong debugging skills and comfort working in Linux-based environments, • Proven ability to own systems end-to-end with a focus on correctness and performance, • Bias toward execution and comfort operating in fast-paced, low-bureaucracy environments Preferred • Experience in latency-sensitive domains (e.g., trading systems, HFT, gaming, telecom), • Familiarity with distributed messaging/streaming systems (Kafka, Pulsar, RabbitMQ), • Experience with gRPC, Protobuf, or similar communication protocols, • Experience deploying systems in cloud environments (AWS/GCP) and working with containers Compensation and Benefits • Competitive salary + equity, • Unlimited PTO, • Full health, dental, and vision coverage, • 401(k) matching, • Company-provided hardware setup

Title - AWS Cloud Engineer Location - Jersey city, United States AWS Senior engineer This resource will be part of our Cloud Infrastructure Team supporting our Bank. This role will be key in working with various infrastructure teams (Security, Networking, Database, Unix) to develop, deploy and support applications. Due to the collaborative nature of the role, it will be important that this resource be senior in both DevOps / AWS / technical skills and interpersonal skills. Candidate should have strong communication, teamwork, customer service and leadership skills to partner with broader global technology engineering, information security and line of business teams · Use Terraform and AWS to deploy highly available, scalable, and secure applications · Assist in architecting, designing, and implementing cloud-based solutions · Provide consulting and technical expertise on securely integrating additional cloud services and third-party solutions (such as Salesforce) into their application · Collaborate with the Cloud Engineering, Cloud Security, and Identity Teams on the administration and engineering of Role-Based Access Controls and processes · Help design and develop Governance of cloud infrastructure, including both technical controls and cost governance structures · Create and update support documentation and standards. · Develop automated methodologies for deployment activities, configuration management, supporting systems and business processes. · Use Jira to track and manage all work through the development life cycle. · Proactively analyze and contribute improvements to support our deployment processes · Investigate and contribute to solving various issues in production environments. · Drive compliance and security efforts related to systems managed by the team. Skills / Experience · 5+ years experience in AWS · Experience in designing and implementing highly resilient, cloud-native and multi-region solutions for public cloud infrastructure · Strong proficiency with Kubernetes (EKS) and Kafka (MSK) in AWS · Strong proficiency with High Availability and resiliency in the cloud · AWS professional and/or specialty certifications, such as Solutions Architect, DevOps Engineer · Experience in implementing Secure Architectures for private and/or public internet facing systems · Strong understanding of cloud computing concepts, infrastructure, and best practices. Such as Containers, Serverless, Microservices · Strong understanding of IaC, CI/CD Pipelines, Terraform, Bitbucket, Bamboo etc. · Strong understanding of networking and internet protocols and distributed systems · Proficiency in Python, AWS CLI · Working knowledge of Shared Responsibility models · Prior experience building out CI/CD pipelines · Experience working in Agile teams, and related tools (Jira, Confluence, etc) · Background in software development a plus Compensation and Benefits A candidate’s pay within the range will depend on their 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 following 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. Disclaimer HCL 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 for investigation.

Trident Consulting is currently seeking a ”Senior Full Stack .Net Developer " for one of our industry leading clients in "New York, NY (Hybrid - 3 days office a week)”. A global leader in business and technology services. Role: Senior Full Stack .Net Developer Location: New York, NY (Hybrid - 3 days office a week) Type: Contract Rate: $70 - $75/hr on C2C Interview Process: 1st interview Hacker rank 2nd interview Live coding test Job Summary: We are looking for a Senior Full Stack Developer with 10+ years of hands-on experience in designing, building, and deploying scalable enterprise applications. The ideal candidate should have strong expertise across backend, frontend, cloud platforms, databases, and modern AI-powered development tools. This role requires onsite presence at the client office in New York. Key Responsibilities: • Design, develop, and maintain full-stack applications with high performance, scalability, and reliability, • Develop backend services using .NET, Microservices architecture, and Python, • Build responsive and modular UI components using Angular, • Design and optimize databases using SQL Server and Oracle, • Implement cloud-native solutions and deployments on Azure and AWS, • Collaborate with cross-functional teams including architects, DevOps, QA, and business stakeholders, • Ensure secure, maintainable, and well-documented code, • Perform code reviews, troubleshooting, and performance optimization, • Leverage AI-powered development tools to improve productivity, code quality, and delivery speed Primary Technical Skills (Mandatory) Backend: • .NET (Core / Framework), • Microservices Architecture, • Microsoft Azure, • SQL Server, • Oracle Mandatory Requirement – AI Tooling • Proven capability to effectively use new-age AI tools such as AI coding assistants (e.g., GitHub Copilot, ChatGPT, or similar tools), • Experience with AI-based debugging, testing, or code optimization tools, • Ability to integrate AI-assisted practices into daily development workflows Required Qualifications • 10+ years of hands-on experience in full stack application development, • Strong understanding of enterprise-scale application architecture, • Experience working in Agile/Scrum environments, • Excellent problem-solving and communication skills, • Ability and willingness to work onsite at the client office in New York Nice to Have • Experience with CI/CD pipelines and DevOps practices, • Exposure to containerization (Docker, Kubernetes), • Knowledge of security best practices and compliance standards About Trident Consulting Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services. We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry. We’re looking for a UI Lead to join our Engineering Excellence initiative, focused on stabilizing, modernizing, and scaling enterprise React applications in complex, legacy-heavy environments. We are looking for Engineers who can: • Lead React architecture decisions for large, long-lived enterprise applications, • Drive incremental migrations (class → functional components, legacy → modern React), • Manage the coexistence of old and new UI patterns without big-bang rewrites, • Evaluate and mitigate risks around bundle size, performance, testing, and library compatibility, • Define and enforce CSS and styling architecture (Tailwind, CSS Modules, design tokens), • Understand where frameworks break down and implement fallback strategies, • Ensure UI decisions support performance, maintainability, and scale, • Implement and review async UI patterns (autocomplete, search, streaming data), • Optimize client-side performance and API interaction patterns, • Guide teams on correct use of React Hooks and lifecycle patterns, • Establish clear, enforceable project organization standards, • Design folder structures, shared vs feature boundaries, and tooling guardrails, • Embed React UIs into non-React legacy systems when needed (micro-frontends, manual mounting), • Operate comfortably in consulting-style delivery environments, • Act as a technical lead in client-facing discussions, • Know when to escalate, unblock, and drive decisions under pressure, • Coach engineers and raise frontend quality across teams, • Balance speed, correctness, and stakeholder expectations Qualifications • 10–12+ years of professional engineering experience, • Deep expertise in React and modern frontend architecture, • Proven experience leading enterprise UI migrations, • Strong command of TypeScript, JavaScript, HTML, CSS, • Experience working in legacy, regulated, or consulting environments, • Comfortable in client-facing leadership roles, • Strong communication, ownership, and decision-making skills, • Bachelor’s degree in CS or equivalent practical experience Technology Stack • Frontend: React, TypeScript, JavaScript, Next.js, TailwindCSS, HTML5, CSS3, • Backend: Node.js, NestJS/Express, REST APIs, Microservices, • Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD, • Messaging & Data: Kafka, SQL/NoSQL, • Testing: Jest, Enzyme, E2E frameworks Compensation $75 - $80 / Hour Our Process • Schedule a 15-minute video call with someone from our Team, • 4 Proctored GQ Tests (< 90 Minutes), • 30-45 min Final Video Interview, • Receive Job Offer If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Job Title - Delivery Lead Location - Jersey City (3-4 days per week) Salary - Up to 150k Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions. • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. • Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions. • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. • Take ownership of release planning, change management, and stakeholder engagement to ensure project success. • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. • Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures. • Application Development: Expertise in developing event-driven and microservices based architectures using Java, Python, and modern frameworks. • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation. • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing. • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives. • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event driven architectures and streaming data solutions. • Strong leadership experience in managing teams and delivering complex projects in Agile environments. • Proficiency in integrating Generative AI solutions into existing platforms and workflows. • Excellent communication and stakeholder management skills to collaborate across diverse teams.

We are currently partnered with a digital advertising agency that is looking for a Director of Analytics & Business Intelligence (Enterprise Reporting & Performance). This is a Full-Time position requiring candidates to work on-site in the client's NYC office 4 days a week. Job Description: We are looking for a Director of Analytics & Business Intelligence (Enterprise Reporting & Performance) to lead enterprise reporting and cross-functional performance analytics across our Content, Advertising, and Affiliate businesses. This is a highly visible, high-impact role for a player-coach who can build executive-ready reporting in Domo, diagnose shifts in key business metrics, and turn complex signals into clear, actionable direction for stakeholders across the company. Key Responsibilities (What You’re Doing) • Own the design and build of a comprehensive Domo reporting suite covering Content Performance, Advertising Revenue, and Affiliate Monetization, ensuring consistency with enterprise KPI definitions and Looker semantic models., • Personally contribute to the development of dashboards and analyses in Domo, operating as a player-coach while guiding a team of analysts., • Lead cross-functional root-cause analysis of enterprise performance shifts (e.g., traffic declines, RPM fluctuations, affiliate revenue drops), identifying macro drivers such as traffic mix changes, engagement quality, monetization efficiency, and content velocity, and partnering with domain analytics teams for deeper campaign-, product-, or partner-level diagnostics as needed., • Analyze digital advertising and affiliate performance, including metrics such as RPM, CPM, CTR, EPC, and revenue per session, to uncover opportunities for revenue optimization., • Ensure enterprise KPIs (sessions, engaged sessions, revenue, RPM, EPC, etc.) are consistently operationalized, reconciled across business units, and surfaced through executive-ready reporting..., • Collaborate closely with cross-functional teams to understand business requirements and translate them into analytics initiatives that produce actionable insights, • Lead and mentor a team of data analysts and BI professionals, fostering a culture of continuous improvement and innovation in data analytics and insights delivery, • Implement processes for automating reporting and analytics workflows to ensure timely and accurate delivery of insights to key stakeholders, • Ensure that insights are communicated effectively across the organization, helping stakeholders to make informed decisions based on data, • Define and standardize reporting methodologies to ensure consistency and clarity in data presentation and interpretation across the organization, • Continuously improve reporting frameworks and analytical approaches to increase speed, clarity, and business impact., • Support weekly and monthly executive performance reviews by delivering clear, reconciled reporting and actionable insights., • Work closely with data engineers and IT teams to ensure that the underlying data infrastructure supports effective analysis and reporting. Qualifications (What We’re Looking For) • 10+ years of experience in business intelligence, data analytics, or a related field, with a strong focus on reporting and insights delivery, • Proven track record of leading teams in the creation and delivery of data-driven insights, dashboards, and reports, • Strong expertise in Domo (required), with experience validating and cross-referencing data against Looker semantic models. Experience building executive dashboards and scalable reporting frameworks., • Extensive experience in defining and managing KPIs, metrics, and reporting standards across business functions, • Demonstrated experience independently conducting deep-dive performance analyses that led to measurable business impact., • Experience analyzing digital advertising and/or affiliate monetization performance, including revenue efficiency metrics (RPM, EPC, CTR, CPM)., • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders and drive actionable business decisions, • Ability to collaborate cross-functionally and influence decision-making through data insights, • Excellent leadership skills with experience mentoring and guiding teams of data analysts or BI professionals, • Proficiency in SQL, Excel, or other data query and manipulation tools, • Experience working with cloud platforms (e.g., BigQuery, AWS, Azure) and data warehousing solutions is a plus, • Bachelor’s degree in Data Science, Business Analytics, Computer Science, or a related field (Master’s preferred). Preferred Skills • Experience in defining and managing KPIs and metrics in a data-driven environment, • Familiarity with digital advertising, eCommerce, or other data-driven industries where analytics is central to business strategy., • Experience in building automated reporting tools or processes that improve reporting efficiency and accuracy., • Experience in leading a team of BI analysts, including mentoring, guiding, and developing talent

Senior Product Designer Location: Brooklyn, NY (Hybrid) Experience: 5+ years in Product Design (SaaS, B2B, or data-heavy products) About North The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs are soaring, and most teams still rely on spreadsheets to manage them. At North, we’re building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently, without wasting time or money. Backed by top-tier investors and trusted by global customers like Brave, The New York Public Library, and SumUp, we’re assembling a world-class team to redefine how businesses manage cloud infrastructure. What You’ll Do • Own end-to-end design across major product areas: dashboards, analytics views, automation workflows, forecasting tools, and AI-driven experiences., • Lead discovery efforts: user research, stakeholder interviews, journey mapping, and problem framing., • Translate complex financial and infrastructure data into clean, usable interfaces., • Design wireframes, high-fidelity mocks, interactive prototypes, and detailed production-ready specifications., • Build and evolve our design system in Figma (components, auto layout, tokens, interaction patterns)., • Partner closely with Engineering to ensure pixel-perfect implementation and thoughtful interaction design., • Collaborate with Product to shape roadmap decisions through design thinking and user insight., • Simplify dense workflows (commitments, cost allocation, anomaly detection, forecasting) into intuitive user journeys., • Continuously improve usability through iteration, feedback loops, and experimentation. What We’re Looking For • 5+ years of experience designing modern SaaS products (B2B preferred)., • Strong mastery of Figma (components, auto layout, variants, prototyping, design systems)., • Deep understanding of information architecture and interaction design., • Experience designing for data-heavy or analytics-driven products., • Ability to translate complex technical or financial concepts into intuitive UX., • Strong systems thinking with the ability to be able to design scalable patterns, not just individual screens., • Excellent collaboration skills; comfortable working closely with engineers and product managers., • Startup mindset for comfortable operating with ambiguity and building structure from scratch., • Based in New York City and excited to collaborate in-office (hybrid, Dumbo Brooklyn)., • Experience contributing to or owning a design system at scale., • Experience working on products with technical users (engineers, DevOps, finance teams)., • Comfort running usability testing or lightweight research., • Passion for turning complexity into clarity. Nice to Have • Experience in FinTech, DevOps, Cloud Infrastructure, or FinOps environments., • Experience designing dashboards, forecasting tools, reporting systems, or AI-powered interfaces., • Familiarity with AWS/GCP concepts or cost management tools. Work Setup Hybrid role based in New York City, with an office in Dumbo, Brooklyn. Benefits • Unlimited PTO, • 16 weeks of paid parental leave (birthing parents receive an additional 4 weeks at 50% pay), • Two company-wide breaks per year: one around Labor Day and one at the end of the year, • Aetna Medical PPO plan with the majority of the premium covered by North, • Dental and vision insurance, • Flexible spending account (FSA) for health expenses and commuter benefits, • 30 day sabbatical every 4 years Compensation • $130,000 – $190,000 base salary, depending on experience, • Equity included If you’re excited about designing category-defining software, simplifying complex financial systems, and building from 0→1 alongside a deeply technical team — we’d love to hear from you.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Job Title: Java Full Stack Developer Location: Merrimac, MA 01860, USA, Jersey City, NJ, USA (1 week onsite 1 week remote) Duration: 08 months+ Contract Description: Notes: Details of the request include: Key Responsibilities Design, develop, and maintain backend‑heavy (80%) enterprise applications using Java/J2EE, Spring Boot, and Microservices. Build and manage RESTful APIs and integrate with API management and downstream systems. Apply 12‑factor app principles to develop scalable, resilient, and cloud‑ready services. Collaborate across teams to deliver frontend components (20%), ensuring seamless integration with backend services. Deploy, monitor, and optimize applications in cloud environments, with a strong preference for AWS. Qualifications 10–12 years of experience in software engineering, with a strong focus on Java‑based enterprise systems. Proven expertise in Java/J2EE, Spring Boot, and Microservices architecture. Hands‑on experience applying 12‑factor principles in modern application development. Strong experience with cloud platforms, preferably AWS, and cloud‑native design patterns. Solid understanding of API technologies, including REST and API management tools, with exposure to frontend frameworks. Hybrid role: alternating schedule with one week onsite (Monday–Friday) and one week remote. Onsite Requirements: Hybrid role: alternating schedule with one week onsite (Monday–Friday) and one week remote. Merrimac, MA 01860, USA, Jersey City, NJ, USA Contract Description: Key Responsibilities: • Design, develop, and maintain backend‑heavy (80%) enterprise applications using Java/J2EE, Spring Boot, and Microservices., • Build and manage RESTful APIs and integrate with API management and downstream systems., • Apply 12‑factor app principles to develop scalable, resilient, and cloud‑ready services., • Collaborate across teams to deliver frontend components (20%), ensuring seamless integration with backend services., • Deploy, monitor, and optimize applications in cloud environments, with a strong preference for AWS. Qualifications: • 10–12 years of experience in software engineering, with a strong focus on Java‑based enterprise systems., • Proven expertise in Java/J2EE, Spring Boot, and Microservices architecture., • Hands‑on experience applying 12‑factor principles in modern application development., • Strong experience with cloud platforms, preferably AWS, and cloud‑native design patterns., • Solid understanding of API technologies, including REST and API management tools, with exposure to frontend frameworks.

Entry-Level Recruitment Consultant (Account Executive-style role) Location: On-site in our NYC office Are you a driven sales professional looking to take your career to the next level in an Account Executive-style position? If so, we have the role for you! Due to continued growth, Tenth Revolution Group is looking for an Entry-Level Recruitment Consultant to join our team in New York City. This is a full desk (360), Account Executive-style position, where you will be joining a friendly, motivated, close-knit team of successful sales/recruitment consultants, focusing on the placement of Cloud Technology professionals. As an Entry-Level Recruitment Consultant we can offer you: • A chance to maximize your earning potential with an uncapped commission plan based on your individual results., • Full training when you start, plus ongoing training and development during your entire career with us., • A clear career progression structure based entirely on performance – giving you control over your long term growth., • Competitive benefits including, discounted health, dental and vision, PTO, weekly savings at retail and wellbeing establishments, free online workout classes and discounted gym membership, and more! What you will be responsible for: Business development and relationship building is the name of the game! As an Entry-Level Recruitment Consultant, you will sell our staffing services to high value clients focusing on either permanent OR contract/interim recruitment solutions. You will be responsible for generating leads, establishing brand new client relationships to increase job flow, maintaining existing client relationships, establishing and will manage the full-cycle candidate recruitment process to ensure all client needs are being met. This is a client-facing, sales-driven role where business development and a customer-centric approach are essential. How you will do this: Managing the entire end to end sales life cycle from discovery to closure that will include: • Proactively developing new business relationships with clients which will include cold calling and outreach via email, LinkedIn and other relevant platforms., • Developing strategies to grow your client base and implementing appropriate sales plans to target prospective clients and generate revenue., • Facilitating in depth client meetings to better understand your clients’ needs so you can tailor your approach and search appropriately., • Negotiating terms of business with new clients., • Full candidate recruitment process management: Sourcing, screening, submitting candidates to clients, arranging job interviews, salary negotiation, and closing to ensure the successful placement of your candidates. Skills and experience we are looking for: • Previous experience with outbound sales is required – cold calling experience is preferred!, • Ambitious individuals with a proven track record of exceeding sales goals., • Ability to develop and form relationships at all levels of an organization., • Driven and resilient individuals with an ongoing desire to improve. Compensation Range: $49,000-$65,000* • Includes base salary ($49,000) and commission potential in Year 1, however earnings are uncapped and can vary based on performance. Benefits: Medical, Dental, Vision, 401k options, Long and Short Term Disability, Life Insurance, and 15 days of PTO year 1! Who are we? Tenth Revolution Group (TRG) is an award-winning, specialized recruitment agency and talent creation company with deep expertise in cloud technology. With offices across 4 continents, we specialize primarily in placing candidates with experience in Microsoft, Salesforce, and AWS technology and pride ourselves on our ability to deliver the highest quality candidates on the market. This is not an HR or Internal recruitment opportunity. This role is client-facing where you will be focused on achieving sales-based results. This vacancy is for a permanent, full-time role based in the U.S. Applicants must have independent legal authorization to live and work in the U.S. It is the policy of Tenth Revolution Group to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. To find out more about a career in recruitment with Tenth Revolution Group, please check out our website site at or send your resume to .

Technical Account Manager – Enterprise Data, AI & Cloud Location: On-site in our NYC Office Role Overview The Technical Account Manager (TAM) is responsible for owning and expanding enterprise and mid-market client relationships across the Data, AI, and Cloud technology ecosystem. This role sits at the intersection of enterprise account management, technical advisory, and delivery leadership. The TAM acts as a trusted partner to client stakeholders, translating complex technical hiring needs into effective talent solutions while driving sustained account growth and revenue performance. Success in this role requires a senior staffing professional who can combine technical market credibility, enterprise relationship management, and strong commercial performance to grow strategic accounts and deliver high-value technical talent. This role owns client relationships, revenue performance, and account growth for assigned accounts and newly developed business. Revenue & Performance Expectations • Annual Gross Profit Target: $1.2M – $1.8M GP, • Expected Account Portfolio: $3M – $5M in managed or developed client accounts, • Account Development Requirement: Demonstrated ability to build and scale accounts from $0 to $2M+ annual revenue, • Deal Mix: Contract staffing, contract-to-hire, and permanent placements across technical roles, • Delivery Model: Partner with internal recruiting teams to execute high-volume and specialized technical hiring, • Full ownership of account strategy, client engagement, and revenue outcomes within assigned portfolio Key Responsibilities Enterprise Account Ownership • Own and manage relationships with enterprise and mid-market clients hiring within Data, AI, and Cloud technology environments, • Develop long-term partnerships with hiring managers, directors, and executive stakeholders, • Serve as the primary client contact for technical hiring strategy and delivery execution Account Growth & Revenue Development • Identify and pursue expansion opportunities within existing client organizations, • Build strategic hiring partnerships that generate recurring revenue streams, • Successfully scale new client relationships from initial engagement to $2M+ annual revenue accounts, • Maintain strong pipeline visibility and forecast revenue performance against annual GP targets Technical Market Advisory • Provide consultative guidance on technical hiring strategies across the modern data stack, • Advise clients on compensation trends, market availability, and hiring timelines for specialized technical talent, • Maintain fluency across Data Engineering, AI/ML, Cloud Architecture, and modern data platform roles Delivery Leadership • Partner with internal recruiting teams to ensure consistent delivery quality across assigned accounts, • Lead role intake discussions and technical requirement calibration with client stakeholders, • Ensure candidate pipelines align with client expectations for technical capability and experience Market Expertise • Maintain strong understanding of the modern data and cloud technology landscape including platforms such as AWS, Azure, Databricks, and Snowflake, • Stay current on emerging skill sets across Data Engineering, Machine Learning, Analytics Engineering, and Cloud Infrastructure Required Qualifications • 10+ years of experience in technical staffing, talent solutions, or enterprise recruiting environments, • Proven success managing enterprise client relationships within technical hiring environments, • Demonstrated experience supporting roles across Data, AI, Cloud, or modern data platform ecosystems, • Proven experience filling Engineering, Architecture, and Senior IT Leadership roles within enterprise technology environments, • Track record of building and scaling client accounts from $0 to at least $2M in annual revenue, • Strong commercial mindset with experience meeting or exceeding individual GP or revenue targets, • Ability to operate as a trusted advisor to senior client stakeholders Preferred Experience • Experience working with enterprise consulting firms, system integrators, or technology partners within the data ecosystem, • Familiarity with hiring across modern data platform roles including:, • Data Engineers, • Machine Learning Engineers, • Cloud Architects, • Analytics Engineers, • Data Platform Engineers, • Technical Directors and Senior IT Leadership roles Key Success Metrics • Annual GP performance against $1.2M–$1.8M revenue target, • Growth and expansion of enterprise client accounts, • Successful development of $2M+ revenue accounts, • Client satisfaction and retention, • Consistent delivery of high-quality technical placements Compensation Range: $100,000-$120,000 base salary + commission *Base salary is dependent on experience and tenure. On target earnings are can vary based on performance. Benefits: Medical, Dental, Vision, 401k options, Long and Short Term Disability, Life Insurance, and 22 days of PTO year 1! This is not an HR or Internal recruitment opportunity. This role is a sales-based role working to achieve sales-based results! This vacancy is for a permanent, full-time role based in the US. Applicants must have independent legal authorization to live and work in the US. It is the policy of Tenth Revolution Group to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. Find out more about a career in recruitment with Tenth Revolution Group and join us on our incredible adventure:

Position: Senior Software Engineer, Web Platform We’re currently supporting a high-scale digital platform engineering team building systems that power millions of users globally. This is a hands-on senior engineering role focused on designing and operating the core web infrastructure, CI/CD systems, and edge computing layer behind large-scale digital products. What you’ll be working on: • Building and maintaining core backend services using Node.js / TypeScript, • Designing and deploying solutions on edge platforms (Cloudflare / Fastly), • Developing and improving CI/CD pipelines for fast, reliable deployments, • Architecting and managing cloud infrastructure using Terraform + Kubernetes, • Driving improvements in performance, scalability, observability, and security, • Automating infrastructure and engineering workflows to improve developer velocity, • Supporting production systems and participating in incident response and on-call rotations What we’re looking for: • 5+ years of software engineering experience (backend or infrastructure focus), • Strong Node.js / TypeScript development experience, • Experience with cloud-native infrastructure (AWS, GCP, or similar), • Hands-on with Kubernetes, Docker, Terraform, • Exposure to CDNs and edge computing platforms (Cloudflare, Fastly, etc.), • Experience building or supporting CI/CD systems (GitHub Actions, etc.), • Strong focus on scalability, reliability, and system performance Compensation: $150K – $185K base + bonus + full benefits package

Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership • Deeply understand and challenge., • System architecture., • API strategies., • Event-driven and distributed systems., • Data pipelines and reconciliation flows., • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Job Title: Data Engineer (Market Data) Location: Newark, NJ (Hybrid – 2 to 3 days onsite per week) Duration: 12–24 Months Domain – Investment Banking Role Summary We are seeking a Data Engineer with strong expertise in Market Data to support Fixed Income / Asset Management platform. The role focuses on building scalable data pipelines, integrating external market data sources like Bloomberg and Reuters, and ensuring high-quality data for trading, risk, and analytics systems. You will work closely with portfolio managers, analysts, and technology teams to deliver robust data solutions supporting investment decision-making. Key Responsibilities Data Engineering & Pipeline Development • Design, build, and maintain scalable data pipelines and ETL processes for market and reference data, • Ingest data from external vendors such as Bloomberg, Refinitiv (Reuters), Aladdin, etc., • Handle structured and unstructured data (APIs, flat files, streaming feeds) Market Data Management • Manage security master, pricing, and reference data across asset classes (Fixed Income, Derivatives, etc.), • Ensure data quality, validation, and reconciliation across multiple data sources, • Monitor and troubleshoot data discrepancies impacting downstream systems Data Architecture & Modeling • Develop data models, schemas, and data warehouses/lakehouses, • Optimize data storage and retrieval for performance and scalability, • Implement data lineage, cataloging, and governance frameworks Collaboration & Business Alignment • Work with trading desks, risk teams, and portfolio managers to understand data needs, • Support analytics, reporting, and regulatory requirements, • Partner with cross-functional teams in Agile environments Required Skills & Experience Core Technical Skills • Strong experience in Python, • Advanced SQL and database design skills, • Hands-on experience with:, • Data Warehousing / Data Lakes, • ETL tools & frameworks, • Deep understanding of:, • Fixed Income instruments (Bonds, MBS, ABS, Derivatives), • Apache Spark / Kafka, • AWS / Azure / GCP, • Strong problem-solving and analytical skills, • Experience working in Investment Management / Capital Markets domain, • Excellent communication and stakeholder management Nice to Have • Experience with Aladdin or similar OMS platforms, • Knowledge of data governance tools (e.g., Purview), • Exposure to DevOps / CI-CD pipelines Education • Bachelor’s or Master’s degree in Computer Science, Finance, Engineering, or related field

Job Title: Software Engineer - Media Platform (Python/AWS) Location: New York, NY Work Mode: Onsite Responsibilities: • Develop and maintain highly scalable, high performance and highly available systems., • Write well tested, efficient, and readable code., • The code should also be strongly structured with a view to reusability., • Ensure that all deliverables follow best practices around source control, CICD., • Manage individual project priorities, deadlines, and deliverables., • Ensure that solutions are in line with the other deliverables of the team and produce documentation so that others learn from and contribute to the work. Attend and contribute to meetings; complete tasks as assigned by supervisor. To be successful in this role, the right software developer will have: • Bachelor’s degree in computer science or a related discipline or equivalent experience., • 3+ years writing production code in Python. Familiarity with C# a plus., • 3+ years production experience with AWS. Certifications a big plus, • Proficiency in designing and interacting with NoSQL databases (DynamoDB)., • Experience with relational databases (MSSQL, PostgreSQL) a plus., • Proficiency building serverless systems with ephemeral compute (e.g., AWS Lambda, ECS) and orchestration (e.g., AWS Step Functions)., • Proficiency building event-driven architectures with message queues, topics., • Proficiency identifying applicability of design patterns and implementing them., • Proficiency using AI assisted coding tools and agents such as Cursor, Claude Code, or CoPilot., • Solid understanding of source control (git), unit testing, test driven development, CICD., • Knowledge of defining, packaging, and deploying cloud resources in CDK strongly preferred., • Knowledge of deploying and managing services in Kubernetes is strongly preferred., • Knowledge of building AI apps on platforms such as Bedrock/Vertex AI/Azure AI and familiarity with frameworks and tools such as LangChain, vector databases, PyTorch/TensorFlow is strongly preferred., • Familiarity with the agile process (stand ups, planning, estimating, and demoing), • Excellent written and verbal communication skills. Mandatory Skills : Python, AWS Lambda

HCLTech is looking for a highly talented and self- motivated SAP Program Director to join it in advancing the technological world through innovation and creativity. Job Title: SAP Program Director Job ID: 100293 Position Type: Full-time Location: Remote w/travel Overview We are seeking an experienced SAP Program Director to lead large-scale SAP transformation programs, ensuring successful delivery of complex initiatives aligned with business objectives. This role requires strong leadership, strategic thinking, and deep expertise in SAP ecosystems (e.g., S/4HANA, ECC, cloud integrations). Key Responsibilities • Program LeadershipLead end-to-end SAP programs, including S/4HANA implementations, migrations, and upgrades, • Define program strategy, roadmap, and execution plans aligned with organizational goals, • Oversee multiple project streams and ensure integration across workstreams, • Stakeholder ManagementEngage with C-level executives, business leaders, and IT stakeholders, • Act as the primary point of contact for program governance and escalation, • Communicate program status, risks, and outcomes effectively, • Delivery & ExecutionEnsure on-time, on-budget delivery of SAP programs, • Establish program governance, KPIs, and reporting frameworks, • Manage third-party vendors, system integrators, and consulting partners, • Financial ManagementOwn program budgets, forecasts, and financial tracking, • Ensure cost optimization while maintaining delivery quality, • Risk & ComplianceIdentify and mitigate risks across the program lifecycle, • Ensure compliance with internal policies and external regulations, • Drive quality assurance and testing strategies, • Team LeadershipLead cross-functional teams including functional, technical, and business resources, • Mentor program managers and project leads, • Bachelor’s degree in Information Technology, Business, or related field (Master’s preferred), • 15+ years of experience in SAP delivery, with at least 5+ years in program leadership roles, • Must have consulting experience, • Proven experience leading large SAP transformations (e.g., S/4HANA implementation or migration), • Strong understanding of SAP modules (FI/CO, MM, SD, etc.) and integration architecture, • Experience managing global, multi-million-dollar programs, • SAP certifications (e.g., S/4HANA, SAP Activate), • PMP, PgMP, or equivalent program management certification, • Experience with Agile/Hybrid delivery methodologies, • Strategic leadership and decision-making, • Program and portfolio management, • Risk management and problem-solving, • Financial and budget management, • Vendor and stakeholder management, • Excellent communication and negotiation skills Pay and Benefits Pay Range Minimum: $140,000 base per year Pay Range Maximum: $256,000 base 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 for investigation. A candidate’s pay within the range will depend on their 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 following 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 How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Title: Senior Python Full Stack Engineer Location: Jersey City, NJ (Hybrid 3X a week and locals, no Relos) Duration: 12+ months Job Description: We are looking for a skilled Python Engineer with strong frontend experience in Angular (preferred) or React, and solid backend expertise in microservices architecture and Oracle databases. Key Responsibilities: • Develop and maintain scalable applications using Python, • Build responsive UI components using Angular (preferred) or React, • Design and implement microservices-based architectures, • Work with Oracle DB for data modeling, queries, and performance tuning, • Collaborate with cross-functional teams to deliver high-quality solutions, • Participate in code reviews, testing, and deployment processes Required Skills: • Strong experience in Python development, • Hands-on experience with Angular (highly preferred) or React, • Solid understanding of microservices architecture & REST APIs, • Experience with Oracle Database, • Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies Good to Have: • Experience with cloud platforms (AWS/Azure/GCP), • Knowledge of containerization tools like Docker/Kubernetes

Greetings, I hope you're having a great day! I came across your profile and I have a position which you might be interested in. If you think you are a good fit for this role, then inbox me your updated resume at Job Title: Java Developer – Banking Domain Location: Weehawken, NJ – Onsite from Day1 Employment Type: Contract Face to Face Interview Job Summary We are seeking an experienced Java Developer with strong expertise in enterprise application development for a leading banking client. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, secure, and scalable banking applications in compliance with financial industry standards. The role requires strong knowledge of backend development, microservices architecture, and banking domain processes such as payments, loans, accounts, and regulatory compliance. Required Skills & Qualifications Strong proficiency in Java (8/11/17). Experience with Spring Boot, Spring MVC, Spring Security. Strong knowledge of Microservices Architecture. Experience with RESTful Web Services. Hands-on experience with Hibernate / JPA. Education Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Nice to Have Experience in cloud platforms (AWS / Azure).

Client :- JPMC Role :- Sr. Java Developers /Leads Location:- Jersey City, NJ or Chicago IL. JD:- Summary: Strong Java Developers and Leads, that have strong problem-solving skills. Payment Tech – Software Engineer (Java) As an experienced member of our Software Engineering group, we look for engineers who are passionate about solving business problems through innovation and strong engineering practices. In this role, you will apply deep technical expertise across the full software development lifecycle and partner closely with stakeholders to stay aligned on shared goals. We embrace a culture of experimentation and continuous improvement, and you will work in a collaborative, trusting environment that values diversity of thought and customer-focused solutions. The ideal candidate is self-motivated and proactive, with strong curiosity, ownership, and the ability to troubleshoot methodically and deliver under pressure. You have experience working in an Agile SDLC, collaborating effectively within your team, and executing across cross-team dependencies with technology leads, architects, production management, business analysts, and QA. Responsibilities Deliver creative software solutions across design, development, and troubleshooting; think beyond routine approaches to break down technical problems. Develop secure, high-quality production code; review and debug code written by others. Perform code reviews and partner with QA to develop and review test scenarios. Drive delivery of key milestones aligned to a clear roadmap and requirements. Qualifications (required) BS/BA degree or equivalent experience (Computer Science preferred). Formal training or certification in Software Engineering with 5+ years of applied experience. 8+ years of software development experience. Ability to translate functional requirements into technical designs and engineering requirements. Strong experience with Core Java, object-oriented design, RDBMS (Oracle), SQL, Spring, and No SQL. Strong understanding of Agile methodology and use of SDLC tooling to improve development and testing efficiency (Jira, Jenkins, Git, JUnit, Selenium, linting tools). Qualifications (preferred) Experience partnering effectively with technology teams and product owners to drive end-to-end delivery. Experience planning and managing Scrum teams, including facilitating Agile ceremonies, prioritizing backlogs, and enabling team delivery. Experience building secure, highly available, resilient, scalable systems leveraging clustering and load balancing across web/app servers and messaging systems (Kafka). Practical cloud-native experience. Container-based development and orchestration; microservices frameworks and tools (Docker, Kubernetes, Spring Boot, Swagger). Cloud and container-based development experience (e.g., Gaia, Kubernetes, AWS). Reactive programming experience (e.g., Spring Flux). Streaming/aggregation frameworks (Storm, Spark). NoSQL / Big Data stores (Cassandra, Elasticsearch, Cloudera stack, HBase); experience optimizing Cassandra is a plus. Banking and payments domain experience.

Senior Director, Data Architecture Location: Hybrid – Manhattan, New York Compensation: $225,000 – $275,000 base + bonus + 401(k) match + comprehensive benefits Overview A leading global property & casualty insurance organization is seeking a Senior Director, Data Architecture to lead the design and evolution of its enterprise data ecosystem. Reporting into senior data leadership, this role will define and execute a forward-looking data architecture strategy that enables scalable growth, advanced analytics, and regulatory compliance across a complex, global insurance environment. This is a high-impact leadership role responsible for building modern, cloud-based data architectures, establishing best practices, and ensuring consistent, high-quality data across core insurance domains including policy, claims, underwriting, and finance. Key Responsibilities Data Architecture Strategy & Governance • Define and execute the enterprise data architecture vision aligned to business and data strategy, • Establish scalable, secure, and resilient architectures for data platforms, integration, and analytics, • Provide architectural oversight across major data initiatives, including platform modernization and digital transformation, • Translate business and technical requirements into scalable data solutions, • Guide engineering and delivery teams through the full lifecycle of data architecture and implementation, • Lead the design and standardization of data models across policy, claims, underwriting, and financial systems, • Integrate core insurance platforms with enterprise data environments and third-party data sources, • Drive adoption of modern data technologies including cloud-native platforms, lakehouse architectures, and real-time data processing, • Enable advanced analytics and machine learning through optimized data infrastructure, • Build and lead a high-performing data architecture function, including architects, modelers, and technical leads, • Partner closely with engineering, analytics, product, and business stakeholders to deliver impactful data solutions, • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field, • 12+ years of experience in data architecture, data modeling, and enterprise data management, • 5+ years in leadership roles, building and scaling data architecture teams, • Deep experience within P&C insurance, including core data domains (policy, claims, underwriting, finance), • Proven track record delivering large-scale data transformation and modernization initiatives, • Expertise with modern data platforms and tools (e.g., Databricks, Snowflake, Spark, AWS, Azure, GCP), • Strong experience with data modeling (conceptual, logical, physical), governance, lineage, and metadata management, • Familiarity with insurance platforms such as Guidewire, Duck Creek, or Majesco, • Experience with medallion/lakehouse architecture and advanced analytics environments, • Cloud or data architecture certifications (AWS, Azure, GCP), • Background working in global or highly regulated environments If you are interested in learning more or would like to be considered, please reach out to the James Search Group team directly or apply via LinkedIn with your resume. Our client is an equal opportunities employer and welcomes applications from all qualified individuals.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry. We’re looking for a UI Lead to join our Engineering Excellence initiative, focused on stabilizing, modernizing, and scaling enterprise React applications in complex, legacy-heavy environments. We are looking for Engineers who can: • Lead React architecture decisions for large, long-lived enterprise applications, • Drive incremental migrations (class → functional components, legacy → modern React), • Manage the coexistence of old and new UI patterns without big-bang rewrites, • Evaluate and mitigate risks around bundle size, performance, testing, and library compatibility, • Define and enforce CSS and styling architecture (Tailwind, CSS Modules, design tokens), • Understand where frameworks break down and implement fallback strategies, • Ensure UI decisions support performance, maintainability, and scale, • Implement and review async UI patterns (autocomplete, search, streaming data), • Optimize client-side performance and API interaction patterns, • Guide teams on correct use of React Hooks and lifecycle patterns, • Establish clear, enforceable project organization standards, • Design folder structures, shared vs feature boundaries, and tooling guardrails, • Embed React UIs into non-React legacy systems when needed (micro-frontends, manual mounting), • Operate comfortably in consulting-style delivery environments, • Act as a technical lead in client-facing discussions, • Know when to escalate, unblock, and drive decisions under pressure, • Coach engineers and raise frontend quality across teams, • Balance speed, correctness, and stakeholder expectations Qualifications • 10–12+ years of professional engineering experience, • Deep expertise in React and modern frontend architecture, • Proven experience leading enterprise UI migrations, • Strong command of TypeScript, JavaScript, HTML, CSS, • Experience working in legacy, regulated, or consulting environments, • Comfortable in client-facing leadership roles, • Strong communication, ownership, and decision-making skills, • Bachelor’s degree in CS or equivalent practical experience Technology Stack • Frontend: React, TypeScript, JavaScript, Next.js, TailwindCSS, HTML5, CSS3, • Backend: Node.js, NestJS/Express, REST APIs, Microservices, • Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD, • Messaging & Data: Kafka, SQL/NoSQL, • Testing: Jest, Enzyme, E2E frameworks Compensation $75 - $80 / Hour Our Process • Schedule a 15-minute video call with someone from our Team, • 4 Proctored GQ Tests (< 90 Minutes), • 30-45 min Final Video Interview, • Receive Job Offer If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership • Deeply understand and challenge., • System architecture., • API strategies., • Event-driven and distributed systems., • Data pipelines and reconciliation flows., • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. 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