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Job Description Product Manager IV - Digital Web & Mobile Platforms Location: Greensboro, NC Work Model: Hybrid Position Type: Full-Time Required Qualifications & Skills - Bachelor's degree in Computer Science, Business Administration, Information Systems Management, Data Analytics, Engineering, Social Science, or a related field. - Minimum 5+ years of experience in Product Management, Project Management, IT Consulting, Product Development, Business Analysis, Systems Analysis, or a related field. - Equivalent relevant work experience may substitute for the degree requirement. Advanced degrees may substitute for a portion of the experience requirements. - Minimum 2+ years of experience working with Agile teams , including Scrum ceremonies, sprint planning, backlog refinement, and Agile best practices. - Minimum 1+ year of leadership experience , with or without direct reports. - Strong senior-level Product Management experience leading enterprise digital web and mobile products or platforms. - Proven experience defining and executing product strategy, vision, and roadmaps for enterprise-level digital products. - Hands-on experience with product backlog ownership, prioritization, user stories, and product requirements . - Strong experience managing front-end digital products , including customer-facing websites, web applications, and mobile applications. - Experience collaborating with UX/UI designers and front-end engineering teams to deliver intuitive, scalable, and user-friendly digital experiences. - Strong understanding of front-end functionality, user journeys, responsive web design, and mobile user experiences . - Experience using product analytics, KPIs, customer insights, and data-driven decision-making to improve product performance. - Proven ability to lead cross-functional teams involving business stakeholders, UX/design, engineering, analytics, and technology teams . - Experience managing the end-to-end product lifecycle , from discovery and requirements gathering through development, launch, and continuous improvement. - Excellent stakeholder management, communication, problem-solving, and leadership skills. Mandatory Skills Product Management Enterprise Digital Products Web & Mobile Platforms Front-End Products Product Strategy Product Roadmap Backlog Management Prioritization Agile/Scrum UX/UI Collaboration Product Analytics Data-Driven Decision Making Cross-Functional Leadership Stakeholder Management Important: Candidates must have hands-on product ownership experience with enterprise web/mobile products. Profiles focused primarily on project coordination or backend-only platforms without front-end digital product ownership will not be preferred.

Pay Range: $55.00hr - $60.00hr Job Overview: The candidate will serve as a Salesforce Product Owner and Business Analyst, shaping the Salesforce product roadmap and translating business needs into scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, and Agentforce. Key Responsibilities: Product ownership and roadmap: Own and shape the Salesforce product roadmap, translating business objectives into prioritized epics, features, and measurable outcomes. Backlog management: Own, prioritize, groom, and refine the backlog based on business value, customer impact, risk, dependencies, and delivery capacity. Business analysis: Lead Client workshops and convert business needs into user stories, process flows, business rules, functional requirements, and acceptance criteria. Salesforce solutioning: Recommend scalable, configuration-first solutions across Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Stakeholder management: Act as the business-technology interface, resolve competing priorities, and communicate product decisions to senior stakeholders. Agile delivery: Drive refinement, sprint planning, story clarification, reviews, release planning, and product acceptance. Testing and acceptance: Coordinate SIT and UAT, defect prioritization, business acceptance, training, and production readiness. Architecture and integration: Partner with Salesforce Architects and engineering teams across integrations, APIs, authentication, data, security, and deployments. Release, adoption, and innovation: Support change readiness, adoption, and KPI tracking; lead POCs and evaluate Agentforce and AI-enabled CRM opportunities where relevant. Required Skills: 7+ years of Salesforce/CRM experience in Product Owner, Business Analyst, Functional Consultant, or comparable roles. Strong functional knowledge of Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Proven experience owning and prioritizing a Salesforce product roadmap and backlog. Strong Agile/Scrum capability across epics, features, user stories, acceptance criteria, refinement, sprint, and release planning. Solid knowledge of Salesforce administration, including profiles, roles, permission sets, sharing, OWD, Flows, objects, data, and reporting. Working knowledge of Salesforce integrations, APIs, authentication, security, data migration, DevOps, and deployment concepts. Experience leading Client, process mapping, solution workshops, UAT, and senior stakeholder discussions. Ability to challenge requirements, make prioritization trade-offs, and translate strategy into executable Salesforce capabilities. Excellent analytical, problem-solving, facilitation, storytelling, and stakeholder communication skills. Certifications Preferred: Salesforce Certified Administrator, Salesforce Certified Business Analyst; Sales Cloud and/or Service Cloud Consultant; Platform App Builder. Advantageous: CSPO/PSPO and relevant Salesforce AI or Agentforce certification. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details

Pay Range: $77.00hr - $82.00hr Job Overview: The Project Manager independently leads delivery for software product initiatives in an AI-enabled SDLC. This role combines strong execution ownership with growing breadth across product thinking, engineering operations, Agile coaching, stakeholder management, data-driven reporting, and AI-assisted workflow adoption. The role owns project-level planning, risk management, backlog quality, delivery metrics, scope control, and stakeholder coordination, while contributing meaningfully to capacity planning, product Client support, release coordination, and continuous improvement. This is an experienced PM role with full project ownership and growing influence across teams. Responsibilities: Build and manage project plans independently, including dependencies, buffers, sequencing, and critical path considerations. Lead day-to-day delivery execution across one or more Agile teams, ensuring work progresses predictably and transparently. Partner with Development Managers and team leads to adapt plans as scope, delivery context, or business priorities evolve. Support implementation roadmaps and maintain delivery accuracy across Jira and related tooling. Proactively identify, assess, score, and mitigate delivery risks; facilitate project-level risk reviews and determine when escalation is needed. Own project-level scope and change management by maintaining change logs, communicating impacts, and facilitating scope trade-off decisions. Plan resource allocation at the project level, forecast capacity gaps, and coordinate shared resources across teams. Coordinate releases, dependencies, and change impacts across one or more workstreams. Maintain a well-prioritized, estimable backlog and facilitate effective refinement sessions to keep work sprint-ready. Lead requirements workshops and translate business needs into clear, testable user stories and delivery-ready specifications. Build project dashboards and reporting views tailored to stakeholder needs, surfacing insights rather than only status. Use metrics such as velocity, throughput, risk trends, and delivery health indicators to guide execution decisions. Manage a diverse stakeholder group independently and tailor communication to technical, product, and business audiences. Navigate conflicting priorities and facilitate alignment across teams and functions. Provide clear, timely updates on progress, risks, delivery health, and decisions. Facilitate cross-team discussions and drive action-oriented follow-through. Apply Agile practices consistently and adapt ceremonies to team context and maturity. Facilitate retrospectives, planning workshops, Client sessions, and other working forums that improve clarity and execution. Organize learning sessions, office hours, and improvement activities that strengthen delivery discipline and collaboration. Coach teams on iterative delivery, continuous improvement, and effective team practices. Use approved AI tools for risk summaries, retrospective outputs, stakeholder communication, and first-pass delivery planning. Critically assess AI-generated outputs and identify when results are incomplete, unreliable, or require refinement. Proactively adopt AI tools to improve personal and team productivity and share effective use cases with the team. Contribute to roadmap and Client conversations by surfacing delivery insights, customer context, and business trade-offs. Participate in design reviews and Client activities, advocating for user needs and product quality in delivery decisions. Qualifications: Bachelor's degree or equivalent practical experience. 5 7 years of experience in project management, Agile delivery, product delivery, or related software development roles. Proven ability to independently manage project plans, RAID processes, backlog health, and delivery reporting. Experience working directly with engineering, product, and cross-functional stakeholders in software product environments. Strong facilitation, communication, and prioritization skills. Hands-on experience with Jira and related delivery/reporting tools. Preferred Qualifications: Experience with release coordination, capacity planning, and backlog ownership. Familiarity with engineering metrics, delivery dashboards, and basic product metrics. Experience with AI-assisted project delivery workflows in an approved enterprise environment. Agile, Scrum, SAFe, or product-related certification is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Air Force Life Cycle Management Center/ISR SOF (AFLCMC/HB). The Air Force Program Execution Office for Intelligence, Surveillance, Reconnaissance and Special Operations (PEO ISR SOF) has the collective Air Force Materiel Command (AFMC) mission responsibility to manage and execute the modernization, development, testing, production, fielding, and sustainment of the ISR SOF portfolio, which includes over 200 programs for the United States Air Force (USAF) and foreign allies. AFLCMC/PEO ISR SOF is headquartered at Wright Patterson Air Force Base, OH with geographically separated operating units CONUS and OCONUS. This position supports the Advanced E7 Development and the FMS Division, supporting the Royal Saudi Air Force, as part of the International Airborne Battle Management Command and Control (FMS) Division; AFLMC(WIW). The WIW Division located at Tinker AFB (OK), and Hanscom AFB (MA), with dispersed support at Eglin AFB, Seattle WA, San Antonio TX and several OCONUS positions. This position specifically supports the Foreign Military Sales (FMS) Japan Program Office. This is a full-time position located at Hanscom Air Force Base, MA. Essential Job Functions: Duties include, but not limited to: Conduct comprehensive program portfolio reviews to evaluate and recommend alternative plans, enhance systems engineering processes, manage and sustain technical baselines, and design/perform system-level tests to ensure subsystem and system performance aligns with approved specifications. Review and evaluate alternative plans, systems engineering programs, designs, and test results to verify subsystem and system performance compliance with program specifications. Prepare technical documentation defining and recommending system/subsystem characteristics, management reports, and technical presentations for planning, implementation, and corrective actions, applying engineering economy principles. Perform system validations, including criteria and procedure development, and analyze/evaluate major engineering system results. Provide engineering, technical support, and training for programs/initiatives, including acquisition, development, integration, sustainment, evolution, deployment, fielding, installation, and operations oversight. Support risk management activities in alignment with Air Force Systems Engineering Assessment Model (AF SEAM) processes. Conduct formal trade studies considering engineering performance, effectiveness, cost-performance balance, lifecycle cost, reliability, maintainability, risk, and schedule. Offer technical recommendations through reviews, studies, audits, evaluations, analyses, procedural guidance, and documentation, supporting engineering Integrated Product Teams (IPTs). Analyze proposals to compare and quantify technical feasibility, compatibility, and cost-effectiveness of proposed systems and components. Concepts and Requirements Analysis: Review and analyze key documents, including Initial Capabilities Documents (ICDs), Capability Development Documents (CDDs), Capability Production Documents (CPDs), and Analyses of Alternatives (AoAs). Conduct assessments of military utility, operational concepts (CONOPs), technology development strategies, functional configuration audits (FCAs), physical configuration audits (PCAs), and technology standards profiles. Analyze system concepts and user requirements entered into system requirements baselines (functional, allocated, and product). Engineering Process Support: Assist in material solution analysis, technology development, engineering, manufacturing, production, deployment, and operations support. Provide support for engineering technical processes, including version/configuration control, requirements analysis, architecture design, implementation, integration, verification, validation, and decision analysis. Perform risk, configuration, technical data, and interface management, as well as technical planning and assessments. Technical Reviews and Documentation: Support planning and execution of technical reviews (e.g., System Requirements Review, Technology Readiness Assessments) and develop associated documentation (e.g., Systems Engineering Plan, Risk Management Plan). Develop systems engineering documentation, ensuring understanding of systems-of-systems interactions, configuration management, technical data packages, and acquisition/sustainment engineering processes. Travel: 10% Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must have a Secret Clearance. Bachelor's degree in a related field and 12 years of experience in the respective technical/professional discipline being performed, 5 of which must be in the DoD OR 15 years of directly related experience, 8 of which must be in the DoD. Desired Skills: Technical Skills Systems engineering expertise across documentation, requirements development, and CDRL review processes Strong capability in evaluating alternative technical plans, architectures, and engineering designs Experience conducting system-level testing, validations, FCAs/PCAs, and ensuring subsystem/system compliance with specifications Skilled in preparing technical documentation, management reports, and technical presentations for planning and corrective actions Proficiency in risk management aligned with AF SEAM, configuration/version control, and interface/technical data management Ability to perform trade studies balancing performance, lifecycle cost, reliability, maintainability, schedule, and risk Competence in analyzing ICDs, CDDs, CPDs, AoAs, and translating concepts and operational requirements into system baselines Interpersonal Skills Strong communication capabilities with clear, concise, and technically accurate messaging across diverse stakeholder groups Proactive, organized, and detail-oriented leadership style with the ability to drive outcomes without direct authority Demonstrated ability to build and maintain professional relationships within cross-functional and international environments High adaptability and situational awareness when navigating complex, multi-stakeholder modernization programs Effective collaborator within engineering IPTs, facilitating consensus, alignment, and informed decision-making Strong problem-solving abilities with a self-starter mindset, capable of independently identifying issues and recommending solutions Ability to lead through influence by fostering cooperation, transparency, and shared ownership of engineering objectives Pay Range and Benefits: There are a variety of factors that can influence salary at DCS Corp, including but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The proposed salary range for this position is: Salary Range: $123,639 - $170,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits.

Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Position Summary As a member of the professional staff, contributes a high level of specialized knowledge and skill in a discipline (e.g. Accounting, Finance, Human Resources, Information Technology, Operations Planning & Support, Sales & Marketing) area to support department and/or function objectives. Generally, works with limited oversight, coordinating and executing operating plans and related operational processes within their department and monitoring the flow of work between their department and others in alignment with broader business objectives, selecting and developing effective administrators and work teams, and collaborating within their organization through reliable systems and processes. Business Context Marriott Vacations Worldwide (MVW) is a leading global vacation company that offers vacation ownership, exchange, rental and resort and property management, along with related businesses, products, and services. The Company has over 120 vacation ownership resorts and approximately 700,000 owner families in a diverse portfolio that includes some of the most iconic vacation ownership brands. The Company also operates exchange networks and membership programs comprised of nearly 3,200 affiliated resorts in over 90 countries and territories, as well as provide management services to other resorts and lodging properties. Global Technology Context The Global Technology (GT) team at Marriott Vacations Worldwide (MVW) is on a multi-year journey to modernize technical and digital products and platforms across all business lines. This role demands a highly motivated mentor with a technical understanding of the range of resort operations technical products in solving complex business challenges. Proven success as a high-level team contributor in executing technical efficiency to support contact center technologies and resort PBX's is required. Job Summary The Infrastructure Wiring Lead Unified Communications is responsible for leading and executing assigned processes, standards, and technology activities in support of ensuring the Company's strategic direction related to Structured wiring projects at Resorts. This role serves as a senior technical subject matter expert for structured wiring and related unified communications infrastructure. The position collaborates with strategic vendors and business partners to understand business requirements by leading the development, refinement, and meeting all SLAs as required within this area of responsibility. This critical role reports directly to the Director of Unified Communications while working closely with Architecture & Construction, other IT disciplines, IT Security and Controls, Internal Audit, Asset Management, Procurement, and other groups as identified to ensure compliance with set requirements. Working Relationships Global Technology Teams and Leadership Regional and Site Leadership Corporate Leadership Vendor/Suppliers Global Technology Services Resort End User Support Teams Resort Operations Business Leaders Expected Contributions Works with the Architecture and Design team to coordinate and lead low voltage structured wiring projects, manage goals and priorities, resolves conflicting direction and serve as a key senior technical contributor for the A&C team on a day-to-day basis. Partners with internal business partners, vendors, and fellow teammates for supplier outcomes to ensure alignment and achievement of goals and objectives as they relate to the Structured Wiring scope. Leads and executes team and company standards and direction to exceed expectations for Corporate, Contact Center, and Structured Wiring. Responsible for proactively identifying and resolving moderate to complex technical and operational issues by working closely with GT Partners, Vendors, Suppliers, and Business Leaders. Works closely with A&C and Business Leadership, GT Leadership, IT Security and Controls, Information Security, Business Leaders and other stakeholders to define requirements and develop new features & functionality to optimize business processes. Leads the implementation of test strategies and manages related testing processes by introducing progressive testing concepts that focus on efficiency without sacrificing quality. Manages defect detection, documentation, escalation, and "confirmation of resolution" processes, ensuring that a standard approach is being followed throughout the larger Global Technology Team and that proper tooling and reporting mechanisms are in place. Leads refining repeatable and continually improving processes. Mature the team's capabilities by introducing progressive concepts that focus on efficiency but sacrifice nothing on quality. Encourage a sense of accountability across the organization to foster a culture that "owns" all misses and uses them to drive future process improvements. Coordinates with internal and external resources to lead project activities and support the delivery of high-quality projects within time and budget. Manage vendor relationships and technology road maps, evaluate new technologies for compatibility and security compliance, contribute to endpoint lifecycle management discipline for timely delivery of new services. Manages activities surrounding change management as needed to complete projects, including coordination of stakeholders, documentation of impacts, and communication of technical requirements. Assists, mentors and provides technical guidance to less senior associates in achieving business results by: Identifying opportunities to enhance the effectiveness of business processes. Providing training and technical guidance to less senior staff, where appropriate, and serving as point-of-contact for problem resolution. Provides input into department operating plans contributing recommendations that improve delivery, quality, scalability, and service outcome. Recognizing and celebrating team successes. Works closely with enterprise business leaders and technology partners to gain support for the program vision and influence adoption. Research new and innovative solutions and stays informed of industry best practices to promote efficiencies and increased maturity of Structured Wiring at resorts. Proactively engages with business and provides proactive updates to leadership on open activities or escalations. Candidate Profile Education: BS/MS Degree in Engineering, Computer Science, or equivalent work experience related to Structured Wiring noted previously. Certifications Preferred: Relevant certifications in Network+, project management, or relevant technologies ITIL Foundation certification (or higher) a plus, Project Management certification desirable OSHA Certification Experience Summary: At least 7 years of Telephony, Networking, and low voltage cabling At least 3 years project coordination Required Experience Project coordination and leadership Networking working knowledge WIFI functionality working knowledge Internet service provider working knowledge Telephony working knowledge Low voltage wiring working knowledge MS Office Suite i.e. Visio, Excel, Power Point Preferred Experience Project management Network Engineering Telephony Engineering Structure cable installation, code and compliance experience Structure cable testing protocols Skills/Attributes Advance analytical and strategic thinking Ability to read and understand blueprints Strong understanding of building codes, fire regulations, and industry guidelines such ANSI/TIA standards Ability to manage quality Assurance through final walkthroughs and audits to guarantee all cable terminations, racks, and pathways meet quality specifications High Level knowledge of Networking, Resort Telephony systems and dependencies, along with a working knowledge of low voltage cabling Deep understanding of copper (Cat5e, Cat6, Cat6a) and fiber optic cabling standards Project Management Skills Prior experience participating in a team of Telephony, Networking and low voltage wiring with a track record of successfully validating and delivering high-quality products Interpersonal communication skills-ability to convey clear and concise information Able to work at a fast pace and encourage others to do so as well Highly self-motivated, requiring minimal oversight, and detail oriented with the ability to effectively prioritize and execute tasks and initiatives Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.

Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.

Job Description Senior Software Engineer $200,000 - $300,000 Base Salary + Equity New York City In Office A high-growth, venture-backed software company is hiring a Senior Software Engineer, Money Movement to help build the financial infrastructure behind its platform. You'll work across payroll, banking, payments, accounting, and ledger systems , building products responsible for moving and accurately tracking real money. You'll join a highly technical engineering team building financial products from the ground up, with ownership over systems where correctness, reliability, and auditability are non-negotiable . This is an opportunity to tackle complex fintech problems while directly shaping the architecture and technical standards behind a rapidly growing platform. What You'll Be Doing Build a payroll product from the ground up , including earnings calculations, tax withholding, payment execution, and filing integrations Develop bill pay and accounts payable infrastructure that allows customers to pay suppliers directly through the platform Build embedded banking capabilities that give customers faster access to their funds Own and scale accounting integrations , including synchronization of invoices, bills, journal entries, and sales data Design double-entry ledgers supporting financial products such as deposits, loyalty, and stored value Build systems around idempotency, reconciliation, atomicity, concurrent transactions, and financial correctness Establish engineering standards for money movement that can be adopted across the broader organization Leverage modern AI coding agents while maintaining the guardrails required for production financial systems Highlights ? Build Money Movement Products from 0 1 - Help launch new payroll, banking, and bill pay products from the ground up ? Embedded Banking & Payments - Build infrastructure that moves real customer funds and powers critical financial workflows ? Ledgers & Financial Correctness - Design auditable double-entry ledger systems where being off by even a cent matters ? Build Payroll from Scratch - Own core payroll infrastructure spanning earnings, tax withholding, payments, and filing integrations ? Accounting Infrastructure - Build and scale integrations with platforms such as QuickBooks and other accounting systems ? Deep PostgreSQL Engineering - Design transactional schemas and concurrency-safe systems capable of supporting growing financial workloads ? AI-First Engineering Culture - Use modern AI coding agents as part of the everyday development workflow ? High Ownership & Impact - Join a small engineering team where your architectural decisions can become company-wide standards What They're Looking For 5+ years of experience building production backend systems Strong backend engineering experience, ideally with TypeScript / Node.js Deep understanding of transactional systems , including idempotency, atomicity, retries, concurrency, and failure handling Strong experience with PostgreSQL , including schema design, transactions, and performance at scale Experience building systems where financial correctness and data integrity are critical Track record of debugging complex production problems and solving the underlying root cause Ability to independently own complex technical projects from architecture through production Nice to Have Experience building payroll, banking, payments, ledger, or other financial systems Experience with accounting platforms such as QuickBooks, NetSuite, or Xero Experience with payment processors, ACH, reconciliation, or money movement infrastructure Familiarity with Next.js, tRPC, Prisma, Vercel, ElastiCache, RDS, or RDS Proxy Experience working with AI coding tools such as Devin, Claude Code, or Cursor Background in retail, POS, multi-location operations, or cash reconciliation Experience establishing technical or architectural standards across engineering teams Compensation & Benefits $200,000 - $300,000 base salary Meaningful equity package Fully company-covered medical and dental benefits 401(k) Catered meals High-impact role with significant technical ownership Opportunity to build foundational financial products from the ground up

Job Description rediem is a fast-growing early-stage, VC backed startup. rediem distills and productizes the core principles that inspire an iconic brand's cult-like following through an operating system for brand community and belonging. We work with some of the top consumer brands; Olipop, Sun Bum, Faherty, and many more. We are looking for a Software Engineer to help shape the future of our platform and help create the future of social commerce. We have some exciting scale challenges ahead as we scale from millions of users to tens of millions of users and need someone with the right skills and attitude to help us continue to grow. About the Role We're hiring a Senior Software Engineer to work directly with our Engineering Team to stabilize, scale, and evolve a fast-growing platform at the intersection of loyalty and social. This is a high-impact individual contributor role. You will operate across the full stack of TypeScript, React, MongoDB, Express, and AWS (Lambda, SQS, Elastic Beanstalk, etc.). Your focus will be on improving system reliability, increasing deployment frequency, and building new customer-facing APIs and UIs. You'll be expected to step in quickly, understand how things work, clarify ambiguous requirements, and begin making meaningful improvements with minimal direction. What You'll Do Work in partnership with other engineers on critical systems to improve their reliability, test coverage, and maintainability Build new features for our merchants and their customers Build new features for our Customer Experience team Build and evolve customer-facing APIs Apply a camper's mentality to everything you do (leave it better than you found it) Write and maintain third party integrations Build bespoke integrations with our technology partners Approach every problem with a lens for privacy, security, and reliability Participate in on-call rotation Help improve Mean Time to Detection and Mean Time to Recover over time Collaborate with business stakeholders, customer experience team members and our designer Collaborate with our designer to build pipelines that take our design system into production What We're Looking For We're looking for the right people who have a subset of these skills. If you don't have the whole list, don't let that stop you from reaching out if you think you're a good fit for us. Core Requirements: Strong experience building, deploying, and maintaining production systems with TypeScript Ability and willingness to work across the full stack (React, backend, infrastructure) Comfortable operating in ambiguous, fast-moving environments Experience working with messy or legacy systems and improving them over time Solid understanding of system design and API design Familiarity with event-driven systems (e.g. queues, async processing) Experience with databases (MongoDB, Postgres, etc.) Strong debugging skills and ability to stay calm under pressure Pragmatic mindset: able to balance speed, correctness, and long-term maintainability Nice to Have: Deep experience with React architecture Experience with CI/CD and improving deployment workflows Experience with third-party integrations (especially in e-commerce / marketing ecosystems) Familiarity with Shopify Experience migrating from MongoDB to Postgres Startup experience Experience building or maintaining design systems How We Work: Small, senior team High ownership, low bureaucracy "Clean as you go" mentality - we aim to get 1% better every day Pragmatic engineering culture: progress over perfection Heavy use of AI-assisted development tools (e.g., Claude, Codex) Why Join Us: You'll have direct, production impact on an application that has millions of end users Strong growth potential as the company scales Access to substantial AI tooling Per-developer, monthly R&D budget Competitive salary + equity Fun, cooperative work environment Interview Process: Intro conversation with one of our founders (30 minutes) System Design or API Design Discussion - We'll collaboratively design a Loyalty system (60 minutes) Live Coding Session (90 minutes, no AI tooling allowed) - We'll solve a real world problem to see if your skills align with our company's challenges Compensation: Compensation includes cash and equity, depending on level. The salary range for this role is from $150K-$200K/year. Disclosures: Please note, due to regulatory requirements, this role is limited to individuals authorized to work in the U.S. We do not accept unsolicited resumes from recruiters or agencies. Please do not contact us regarding this role if you are a recruiter or agency.

Job Description Director - Regulatory Technology (US) New York $400,000-$600,000 Total Compensation (dependent on seniority) An exciting opportunity to join one of the world's fastest-growing quantitative investment firms, as it continues to expand its presence in the US with a newly established office in New York. The firm is looking for a hands-on Director of Regulatory Technology to take ownership of critical US regulatory reporting and surveillance systems. This is a rare opportunity to play a key role in building out the firm's regulatory technology capabilities from the ground up, combining senior-level ownership with hands-on engineering in a highly technical trading environment. Key Responsibilities Lead the design, development and enhancement of production-grade regulatory technology systems. Remain hands-on with Python and SQL, building applications, data pipelines and automated workflows. Develop solutions supporting key US regulatory requirements, including CAT, Blue Sheets and short-selling controls. Build robust data validation, reconciliation and exception management frameworks. Ensure accurate, traceable order and execution data across the full trade lifecycle. Drive improvements in system performance, data quality, automation and operational controls. Work closely with senior stakeholders across Compliance, Trading and Technology. What We're Looking For 10+ years of software engineering experience within financial services. Strong hands-on Python and SQL development skills. Experience across Regulatory Technology, Trade Surveillance or Capital Markets. Good understanding of US regulatory reporting, particularly CAT and Blue Sheets. Strong knowledge of order and execution lifecycles, OMS/EMS platforms and trading data. Experience building scalable production systems, data pipelines and automated controls. Comfortable operating at Director level while remaining technically hands-on. Why Join? The opportunity to join a rapidly expanding global Hedge fund at a pivotal stage of its US growth. You will have significant ownership, the chance to shape a newly established US function and the ability to remain technically hands-on.

Job Description Staff Full Stack Engineer AI Healthtech NYC Up to $240k + Equity The Company I'm working with a fast-growing Series B healthcare technology company in New York that is building software to solve some of the most complex problems in US healthcare. Their platform combines large-scale backend systems, data-heavy workflows and AI to help healthcare organisations improve accuracy, reduce waste and automate difficult processes. They're scaling their engineering team and looking for an experienced Staff Full Stack Engineer who can take genuine ownership of major technical challenges across the platform. This isn't an architecture-only position. They want someone who can set technical direction, influence engineering decisions and remain genuinely hands-on. The Role You'll play a key role in building and scaling the applications that sit at the centre of the company's AI-powered healthcare platform. This includes sophisticated React applications, complex operational workflows, backend services and data-intensive systems where performance, accuracy and reliability are critical. You'll have significant autonomy to make architectural decisions, improve engineering standards and influence how the wider team builds software. Key responsibilities: Own the architecture and delivery of complex full-stack systems, from frontend applications through to backend services. Build and scale production React and TypeScript applications, focusing on performance, component architecture, state management and user experience. Design robust APIs, backend services and relational data models supporting complex operational workflows. Make important system design decisions and establish engineering patterns across multiple teams. Work closely with product, design, backend and AI engineers to deliver intuitive applications powered by sophisticated backend systems. Champion modern engineering practices, including AI-assisted development, automated testing, observability and CI/CD. Mentor senior engineers, lead technical discussions and raise engineering standards while continuing to write production code. What They're Looking For 10+ years of software engineering experience , including genuine Staff-level technical ownership. Deep hands-on experience with React, TypeScript and modern JavaScript . Strong frontend architectural judgement, including reusable components, state management and application performance. Solid backend engineering experience with Python, Node.js or TypeScript , including APIs, databases and distributed systems. Experience architecting and delivering complex production applications end-to-end. Strong system design and cloud infrastructure knowledge, ideally AWS, Docker, Kubernetes and CI/CD. Proven experience mentoring engineers, influencing technical decisions and working effectively across teams. A strong product engineering background, ideally within high-growth technology companies or engineering-led startups. Someone who communicates clearly, makes thoughtful technical trade-offs and still enjoys getting into the code. Additional experience that would stand out: Building AI-powered applications, LLM integrations, agentic workflows or conversational interfaces. Healthcare, fintech or other regulated, data-intensive environments. B2B SaaS products involving complex operational workflows. GraphQL, PostgreSQL, Kafka or distributed data processing. Using AI coding tools such as Claude Code to improve engineering productivity. The Opportunity This is an opportunity to join a well-funded, growing engineering organisation at a point where individual engineers can still have a significant influence over the product and technical direction. You'll work on difficult engineering problems, help shape architecture across the stack and have the autonomy to build systems properly. It's particularly well suited to someone who wants the influence and ownership of a Staff Engineer while remaining closely involved in writing and shipping code. Location: New York City - 3 days per week onsite. Salary: Up to $240,000 base + equity. Level: Staff Engineer - Individual Contributor. If you're an experienced Staff Full Stack Engineer in New York who enjoys solving difficult problems, owning major systems and influencing how engineering teams build software, drop me a message. Happy to share more information about the company, the engineering team and the challenges they're tackling. If you're a Staff, Principal, Lead or exceptionally strong Senior Fullstack Engineer looking for serious technical ownership without moving away from coding, drop me a message.

Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.

Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $77.00hr - $82.00hr Job Overview: The Project Manager independently leads delivery for software product initiatives in an AI-enabled SDLC. This role combines strong execution ownership with growing breadth across product thinking, engineering operations, Agile coaching, stakeholder management, data-driven reporting, and AI-assisted workflow adoption. The role owns project-level planning, risk management, backlog quality, delivery metrics, scope control, and stakeholder coordination, while contributing meaningfully to capacity planning, product Client support, release coordination, and continuous improvement. This is an experienced PM role with full project ownership and growing influence across teams. Responsibilities: Build and manage project plans independently, including dependencies, buffers, sequencing, and critical path considerations. Lead day-to-day delivery execution across one or more Agile teams, ensuring work progresses predictably and transparently. Partner with Development Managers and team leads to adapt plans as scope, delivery context, or business priorities evolve. Support implementation roadmaps and maintain delivery accuracy across Jira and related tooling. Proactively identify, assess, score, and mitigate delivery risks; facilitate project-level risk reviews and determine when escalation is needed. Own project-level scope and change management by maintaining change logs, communicating impacts, and facilitating scope trade-off decisions. Plan resource allocation at the project level, forecast capacity gaps, and coordinate shared resources across teams. Coordinate releases, dependencies, and change impacts across one or more workstreams. Maintain a well-prioritized, estimable backlog and facilitate effective refinement sessions to keep work sprint-ready. Lead requirements workshops and translate business needs into clear, testable user stories and delivery-ready specifications. Build project dashboards and reporting views tailored to stakeholder needs, surfacing insights rather than only status. Use metrics such as velocity, throughput, risk trends, and delivery health indicators to guide execution decisions. Manage a diverse stakeholder group independently and tailor communication to technical, product, and business audiences. Navigate conflicting priorities and facilitate alignment across teams and functions. Provide clear, timely updates on progress, risks, delivery health, and decisions. Facilitate cross-team discussions and drive action-oriented follow-through. Apply Agile practices consistently and adapt ceremonies to team context and maturity. Facilitate retrospectives, planning workshops, Client sessions, and other working forums that improve clarity and execution. Organize learning sessions, office hours, and improvement activities that strengthen delivery discipline and collaboration. Coach teams on iterative delivery, continuous improvement, and effective team practices. Use approved AI tools for risk summaries, retrospective outputs, stakeholder communication, and first-pass delivery planning. Critically assess AI-generated outputs and identify when results are incomplete, unreliable, or require refinement. Proactively adopt AI tools to improve personal and team productivity and share effective use cases with the team. Contribute to roadmap and Client conversations by surfacing delivery insights, customer context, and business trade-offs. Participate in design reviews and Client activities, advocating for user needs and product quality in delivery decisions. Qualifications: Bachelor's degree or equivalent practical experience. 5 7 years of experience in project management, Agile delivery, product delivery, or related software development roles. Proven ability to independently manage project plans, RAID processes, backlog health, and delivery reporting. Experience working directly with engineering, product, and cross-functional stakeholders in software product environments. Strong facilitation, communication, and prioritization skills. Hands-on experience with Jira and related delivery/reporting tools. Preferred Qualifications: Experience with release coordination, capacity planning, and backlog ownership. Familiarity with engineering metrics, delivery dashboards, and basic product metrics. Experience with AI-assisted project delivery workflows in an approved enterprise environment. Agile, Scrum, SAFe, or product-related certification is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description About the Company Chekhub is a leading SaaS provider delivering clarity and efficiency to mission-critical operations. Our platform optimizes task management, resource allocation, and operational analytics to meet the evolving demands of modern industries. From a promising startup to a key player in the technology sector, Chekhub continues to expand its reach and capabilities, empowering data centers and operational teams worldwide. About the Role We're looking for a Senior Backend Engineer to lead the development of the services behind Chekhub's platform. You'll work closely with product and the front-end team to design the APIs, data pipelines, and cloud services that mission critical teams rely on every day. This is a hands-on lead role where you'll shape backend architecture, help guide how AI is built into the platform, and advise other engineers as the team grows. Responsibilities Design, build, and maintain scalable, secure backend services and APIs across Chekhub's platform. Serve as the backend lead, owning architecture decisions and advising peers as the platform and team scale. Partner with product and front-end engineers to translate requirements into features shipped end to end. Drive reliability, performance, and code quality across services and data. Other tasks, duties, and responsibilities as assigned or as business needs require. Requirements 4+ years of experience in backend development, ideally within a B2B SaaS environment. Strong proficiency in Node.js, Express, and server-side JavaScript. Hands-on experience with MongoDB and Google BigQuery (or similar NoSQL and SQL databases), including aggregation, indexing, and multi-tenant schema design. Proven experience designing and building RESTful APIs within a microservices architecture. Experience with event-driven systems and messaging (RabbitMQ or similar), caching (Redis), and real-time updates (WebSockets). Solid understanding of authentication, authorization, and security best practices. Experience with Google Cloud Platform (GCP) or similar cloud providers, and CI/CD practices (GitLab CI or similar); Oracle Cloud Infrastructure (OCI) a plus. Familiarity with AI tools for productivity (Claude, ChatGPT, or similar). Self-starter who can operate with autonomy in a fast-paced, startup environment. Must be located in the Raleigh, NC area. Applicants must be authorized to work in the United States. Chekhub is unable to sponsor or take over sponsorship of employment visas for this role. Preferred Skills Experience building AI-powered features or internal tooling, such as LLM integrations, agents, or retrieval-augmented generation (RAG). Experience designing AI system architecture, including model selection, context and prompt design, and evaluation. Experience training, fine-tuning, or deploying models with Google Vertex AI or similar AI/ML platforms. Containerization and orchestration experience (Docker, Kubernetes, Helm). What We Offer Competitive salary and benefits, including 100% paid employee medical insurance. Direct ownership over backend architecture, including how AI is built into the platform. A team that values creativity, speed, and getting things done. How to Apply Apply directly on LinkedIn, or Submit your resume to Chekhub is an equal opportunity employer.

Pay Range: $55.00hr - $60.00hr Job Overview: The candidate will serve as a Salesforce Product Owner and Business Analyst, shaping the Salesforce product roadmap and translating business needs into scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, and Agentforce. Key Responsibilities: Product ownership and roadmap: Own and shape the Salesforce product roadmap, translating business objectives into prioritized epics, features, and measurable outcomes. Backlog management: Own, prioritize, groom, and refine the backlog based on business value, customer impact, risk, dependencies, and delivery capacity. Business analysis: Lead Client workshops and convert business needs into user stories, process flows, business rules, functional requirements, and acceptance criteria. Salesforce solutioning: Recommend scalable, configuration-first solutions across Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Stakeholder management: Act as the business-technology interface, resolve competing priorities, and communicate product decisions to senior stakeholders. Agile delivery: Drive refinement, sprint planning, story clarification, reviews, release planning, and product acceptance. Testing and acceptance: Coordinate SIT and UAT, defect prioritization, business acceptance, training, and production readiness. Architecture and integration: Partner with Salesforce Architects and engineering teams across integrations, APIs, authentication, data, security, and deployments. Release, adoption, and innovation: Support change readiness, adoption, and KPI tracking; lead POCs and evaluate Agentforce and AI-enabled CRM opportunities where relevant. Required Skills: 7+ years of Salesforce/CRM experience in Product Owner, Business Analyst, Functional Consultant, or comparable roles. Strong functional knowledge of Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Proven experience owning and prioritizing a Salesforce product roadmap and backlog. Strong Agile/Scrum capability across epics, features, user stories, acceptance criteria, refinement, sprint, and release planning. Solid knowledge of Salesforce administration, including profiles, roles, permission sets, sharing, OWD, Flows, objects, data, and reporting. Working knowledge of Salesforce integrations, APIs, authentication, security, data migration, DevOps, and deployment concepts. Experience leading Client, process mapping, solution workshops, UAT, and senior stakeholder discussions. Ability to challenge requirements, make prioritization trade-offs, and translate strategy into executable Salesforce capabilities. Excellent analytical, problem-solving, facilitation, storytelling, and stakeholder communication skills. Certifications Preferred: Salesforce Certified Administrator, Salesforce Certified Business Analyst; Sales Cloud and/or Service Cloud Consultant; Platform App Builder. Advantageous: CSPO/PSPO and relevant Salesforce AI or Agentforce certification. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.