144 jobs found

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are Deep understanding of server hardware, components, and management technologies. Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization . click apply for full job details

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The core compute team builds and operates the compute infrastructure that underpins all the AI workloads running on CoreWeave. We turn accelerated servers into reliable, isolated, API-addressable compute that customers can build on, and we keep it healthy and current for the life of their workloads. Everything above us depends on it: customers running training, inference, agents, and sandboxes directly on our compute, and internal teams building higher-level services, including CoreWeave Kubernetes Service (CKS), on top of our primitives. About the role: As Staff Product Manager for Core Compute, you'll be responsible for driving the roadmap and strategy for the compute layer that everything else at CoreWeave sits on: how compute gets allocated and delivered, how it stays healthy and current, and how it is isolated and made consumable through APIs that both external customers and internal teams build against. You will be working on the foundation of the compute stack to both evolve what already exists, and help define the next generation of compute services for AI. In this role, you will: Lead the product strategy, roadmap, and execution for CoreWeave's core compute services, including instance lifecycle, node images and system software currency, hardware health and remediation, tenancy and isolation, and the capacity and reservation semantics customers buy against Serve two customer sets at once: external customers consuming compute directly, and internal teams building higher-level services, including CKS, on the same primitives Partner with engineering, sales, finance, and marketing teams to ensure alignment on goals, product details, effective product launches, and seamless go-to-market execution Conduct in-depth market research and competitive analysis to identify current state, emerging trends, and opportunities for differentiation Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation Define key metrics and establish robust reporting to monitor the performance of compute services, identify areas for improvement, and inform future decisions Who You Are: 8+ years of professional experience, with 5+ years in Product Management of cloud services or in the AI/ML market segment Deep understanding of cloud compute at the instance layer: how compute is provisioned, delivered, kept current, isolated, and reclaimed at scale Proven ability to lead cross functional teams, with strong decision-making, project management, and mentoring skills Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders Ability to think strategically while being able to dive into technical details to guide engineering teams Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus Preferred: Hands on experience with a large-scale compute or instance service, such as EC2, Google Compute Engine, Azure Compute, or an equivalent internal provisioning platform Familiarity with accelerated compute, high-performance interconnect, and the behavior of large multi-node workloads Good grasp of the financial/economic dimensions of operating cloud compute services Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to build businesses as much as build products You're curious about where the next product opportunity is, and where the AI market is going You're an expert in the fundamentals of how computers work at scale, and the implications of distributed systems The base salary range for this role is $188,000 to $275,00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The core compute team builds and operates the compute infrastructure that underpins all the AI workloads running on CoreWeave. We turn accelerated servers into reliable, isolated, API-addressable compute that customers can build on, and we keep it healthy and current for the life of their workloads. Everything above us depends on it: customers running training, inference, agents, and sandboxes directly on our compute, and internal teams building higher-level services, including CoreWeave Kubernetes Service (CKS), on top of our primitives. About the role: As Staff Product Manager for Core Compute, you'll be responsible for driving the roadmap and strategy for the compute layer that everything else at CoreWeave sits on: how compute gets allocated and delivered, how it stays healthy and current, and how it is isolated and made consumable through APIs that both external customers and internal teams build against. You will be working on the foundation of the compute stack to both evolve what already exists, and help define the next generation of compute services for AI. In this role, you will: Lead the product strategy, roadmap, and execution for CoreWeave's core compute services, including instance lifecycle, node images and system software currency, hardware health and remediation, tenancy and isolation, and the capacity and reservation semantics customers buy against Serve two customer sets at once: external customers consuming compute directly, and internal teams building higher-level services, including CKS, on the same primitives Partner with engineering, sales, finance, and marketing teams to ensure alignment on goals, product details, effective product launches, and seamless go-to-market execution Conduct in-depth market research and competitive analysis to identify current state, emerging trends, and opportunities for differentiation Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation Define key metrics and establish robust reporting to monitor the performance of compute services, identify areas for improvement, and inform future decisions Who You Are: 8+ years of professional experience, with 5+ years in Product Management of cloud services or in the AI/ML market segment Deep understanding of cloud compute at the instance layer: how compute is provisioned, delivered, kept current, isolated, and reclaimed at scale Proven ability to lead cross functional teams, with strong decision-making, project management, and mentoring skills Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders Ability to think strategically while being able to dive into technical details to guide engineering teams Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus Preferred: Hands on experience with a large-scale compute or instance service, such as EC2, Google Compute Engine, Azure Compute, or an equivalent internal provisioning platform Familiarity with accelerated compute, high-performance interconnect, and the behavior of large multi-node workloads Good grasp of the financial/economic dimensions of operating cloud compute services Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to build businesses as much as build products You're curious about where the next product opportunity is, and where the AI market is going You're an expert in the fundamentals of how computers work at scale, and the implications of distributed systems The base salary range for this role is $188,000 to $275,00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife - improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at An award-winning culture working towards an important mission - Maven Clinic is a recipient of over 30 workplace and innovation awards, including: TIME 100 Most Influential Companies (2023, 2026) Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) Fast Company Most Innovative Companies (2020, 2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) What You'll DoSecurity Platform Engineering Design and implement scalable infrastructure supporting HIPAA, SOC 2, and ISO 27001 compliance Build and maintain systems for identity, authentication, and access management (Okta / GCP IAM / Auth0/ OPA) Implement observability and anomaly detection across microservices, data stores, and SaaS platforms Establish Zero Trust principles and enforce least-privilege access company-wide Develop compliance observability dashboards and automated evidence collection Security Automation & Tooling Create self-service security tools that integrate with developer workflows (GitLab CI/CD, Terraform) Automate onboarding/offboarding, access reviews, and approvals Integrate software-supply-chain security (SBOM, dependency scanning) Develop or adopt AI-assisted security tooling to proactively identify risks Automate policy enforcement, SAST/DAST scans, and compliance verification Application & Data Security Lead threat modeling and security architecture reviews for new products and services Partner with product and data teams to embed secure-by-default design patterns Ensure encryption, access tracking, and secure data handling across PHI workflows Contribute to incident response, post-mortems, and continual improvement of security posture Leadership & Collaboration Act as Maven's technical authority for security engineering Mentor peers and promote secure coding and architecture practices Partner cross-functionally (Engineering, Compliance, Clinical, Legal) to align on security strategy Champion an engineering culture of transparency, accountability, and continuous improvement What You'll BringRequired 8+ years of software engineering experience, including 3+ in security infrastructure or application security Proven ability to design and implement large-scale, distributed, cloud-native systems Strong coding proficiency in Python, TypeScript, Go and/or Rust Deep understanding of cloud security (GCP preferred; AWS/Azure welcome) Experience with Kubernetes, containers, and infrastructure-as-code (Terraform) Familiarity with security testing frameworks and secure SDLC principles Excellent communication and documentation skills Preferred Expertise in Zero Trust architectures, authentication/authorization frameworks, and data-loss prevention Experience with security compliance automation (SOC 2, ISO 27001, PCI-DSS, NIST) Background in data security telemetry and threat detection Familiarity with AI/ML security and AI-assisted analysis tools Exposure to supply-chain security and CI/CD pipeline hardening Certifications (CISSP, GCP Professional Cloud Security Engineer, OSCP) a plus What Makes You a Great Fit You take a pragmatic, automation-first approach to solving security problems You balance rigor with velocity, enabling teams to move quickly without compromising trust You communicate clearly with both technical and non-technical stakeholders You're curious, adaptable, and eager to lead initiatives from concept to production You care deeply about our mission-building safer, smarter healthcare for women and families The base salary range for this role is $221,000 - $260,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description Job Description Hello, "Join GD Resources for dynamic opportunities in business management and IT, where innovation meets excellence." About the Company: GD Resources is a Veteran Women-Owned Business Management and Information Technology company committed to excellence. GD Resources provides dynamic opportunities for veterans and professionals alike to contribute to innovative projects and drive success in a collaborative and supportive environment. Join us to make a difference, advance your career, and grow with a company that values integrity, diversity, and continuous improvement. Experience8-12 YearsClientNew York City - DoITTDuration6 MonthsPrimary SkillsIOS, Android, JIRA, azure, Product Manager, Trello, DevOpLocation Brooklyn, NY, 11201 Job Start Date2026-05-04Remote JobNoRequired Hours/Week35Job TypeContract Public Job TitleMid Level - Mobile App Developer (iOS & Android)Public Job DescriptionNYC Office of Technology and Innovation Job Title: Mid Level - Mobile App Developer (iOS & Android) Duration: 6+ Months with possible extension Location: 15 Metrotech Center, Brooklyn, NY 11201 Position Type: Contract Interview Type: Webcam/In-person Note: Normal Business Hours, Monday through Friday (not including a mandatory unpaid meal break after 6 hours of work), 35 work hours per week. If the consultant works more than 35 hours per week, the consultant must request overtime in the Agency's timekeeping system, and the project manager must approve those hours worked above the weekly maximum. SCOPE OF SERVICES: The developer will be responsible for overseeing the end-to-end technical execution of the new features in the NYC Secure App on iOS and Android and development of other digital resources as needed. The developer will deliver a scalable, privacy-centric systems that integrates with existing NYC data services, workflows, and web platforms. Job Description: The NYC Office of Technology and Innovation has been tasked with re-designing the NYC Secure App and an associated campaign to provide New Yorkers with a comprehensive set of tools and resources to prevent scam phone calls and text messages, educate vulnerable New Yorkers on prevention, and support New Yorkers with the resources they need when they have been victimized. Each year New Yorkers lose an estimated $6.5B to online and phone based scams, yet the city provides no systematic approach to protecting residents - this project will develop the technology and strategy to address that gap across OTI's programs including Cybersecurity, 311, and Digital Equity. TASKS: Develop quality code that is well-documented, testable, and production-ready Be proactive and seek feedback to ensure best practice solutions that meet business needs Building web solutions that are scalable and secure and align with overall city digital architecture Write and conduct unit testing as agreed with the City Engineering leads. Communicate technical decisions, needs, and priorities to engineers, product managers, and designers as part of a user-centered agile product delivery team Design the core logic with the existing vendor for the mobile application on iOS and Android to provide scam and spam protection for calls and texts. Build a responsive, accessible frontends resource sites that ensures a consistent experience across all browser types and mobile devices and leverages the NYC Design System. Apply rigorous industry-standard privacy and security standards and protocols to ensure that all user data remains private and secure. Develop the technical bridges necessary to route digital reporting data into existing intake and reporting systems. If necessary, learn new programming languages or frameworks, with help from City Engineering leads, to complete software development and testing tasks. Attend, participate, and assist in architecture, approach, and technical strategies as appropriate and requested by City Engineering leads. Mandatory Skills: At least 4 years of experience as a software engineer or application developer Experience building responsive websites with full-stack expertise Experience collaborating with product designers on cross-functional teams to ensure the best user experience. Experience working with Git based workflows Experience working in story-based workflows (e.g., Azure DevOps, JIRA, Trello, or other story or kanban-style workflow) Experience leading technical design and writing implementation planning documents Strong verbal and written communication skills Regards, Srikanth (Sri) Senior Recruiter Phone: Email: Powered by JazzHR I8bEmzW0Mq

Job Description Job Description Position Overview We are seeking a highly experienced Senior Master Data Management (MDM) Developer to lead the technical implementation of our enterprise MDM strategy. This individual will play a critical role in architecting, developing, and delivering a scalable Master Data Management platform that will serve as the foundation for enterprise-wide data governance. The initial focus will be the successful implementation of a Customer Master solution, with a strategic roadmap to evolve into a Multi-Domain Enterprise MDM supporting Customer, Material, Supplier, Asset, and other core business domains. This role combines deep MDM platform expertise, cloud-native integration experience, and enterprise data architecture skills. The ideal candidate will work closely with enterprise architects, business stakeholders, and system integrators to deliver a secure, scalable solution operating within an AWS GovCloud environment. Key Responsibilities Enterprise MDM Solution Design Lead the design and implementation of enterprise-grade Master Data Management solutions. Configure and optimize matching, merging, survivorship, relationship management, hierarchy management, and reference data capabilities. Develop scalable data models capable of supporting future multi-domain expansion. Platform Evaluation & Technical Leadership Lead technical evaluations and Proof of Concepts (PoCs) across leading MDM platforms including Informatica MDM and Reltio . Assess platform capabilities, scalability, integration patterns, and long-term maintainability. Provide architecture recommendations that align with enterprise data strategy. Data Integration & Engineering Design and develop secure, high-performance ETL/ELT pipelines for ingesting master data from Salesforce CRM and other enterprise systems. Develop APIs, integration services, and batch processing workflows. Ensure data quality, consistency, lineage, and governance throughout the integration lifecycle. MDM Configuration & Development Configure: Match & Merge Rules Survivorship Rules Identity Resolution Golden Record Management Hierarchy Management Reference Data Management Crosswalk Management Data Stewardship Workflows Optimize performance for large-scale master data processing. Cloud & Security Deploy and support MDM solutions within a secure AWS GovCloud environment. Implement security, encryption, access controls, and compliance requirements aligned with government standards. Collaborate with infrastructure teams on cloud architecture and deployment automation. Cross-Functional Collaboration Serve as the primary technical lead within a blended delivery model consisting of internal teams, business stakeholders, and external system integrators. Partner closely with Data Governance, Enterprise Architecture, Security, Infrastructure, and Application Development teams. Mentor junior developers and establish development best practices. Enterprise Data Strategy Design Customer Master implementations that naturally evolve into an Enterprise Multi-Domain MDM platform. Contribute to enterprise standards for metadata, data quality, governance, and master data lifecycle management. Support long-term modernization initiatives across the enterprise data ecosystem. Required Qualifications Experience 8+ years of hands-on Master Data Management implementation experience. Proven experience implementing enterprise-scale MDM solutions from design through production deployment. Experience leading technical workstreams on complex MDM implementations. MDM Platforms Hands-on development experience in two or more of the following: Informatica MDM Reltio Informatica Intelligent Data Management Cloud (IDMC) (preferred) Informatica Customer 360 Informatica Product 360 (nice to have) Data Integration Strong experience with: Salesforce CRM integration ETL/ELT development REST APIs SOAP APIs Batch processing Data profiling Data cleansing Data quality Identity resolution Cloud Technologies Experience with: AWS GovCloud AWS Lambda S3 IAM Secrets Manager CloudFormation or Terraform CI/CD pipelines Database & Development Strong knowledge of: SQL Oracle PostgreSQL JSON/XML Python or Java Git DevOps practices Data Management Deep understanding of: Master Data Management Data Governance Data Quality Metadata Management Data Lineage Reference Data Management Golden Record Management Hierarchy Management Preferred Qualifications Experience implementing Customer 360 initiatives. Experience with Enterprise Data Governance programs. Knowledge of Informatica Cloud Data Quality (CDQ). Experience with Data Catalog solutions. Experience integrating MDM with ERP platforms such as SAP or Oracle. Familiarity with Material Master, Supplier Master, or Asset Master domains. Experience working within regulated industries such as Aerospace, Defense, Manufacturing, or Government. Security Requirements Due to the nature of this program and deployment within AWS GovCloud , candidates must: Be a U.S. Citizen . Be eligible to obtain and maintain required government security clearances. Successfully pass all applicable background investigations. What Success Looks Like Within the first 12 months, the successful candidate will: Deliver a production-ready Customer Master implementation. Successfully complete MDM platform evaluation and recommendations. Establish scalable enterprise data models supporting future multi-domain expansion. Build secure Salesforce-to-MDM integration pipelines. Enable a governed, trusted Golden Record supporting enterprise analytics, operational systems, and AI initiatives.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our liquid cooling hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions. About the role: Responsibilities: Develop and maintain hardware/firmware management services. Automate all aspects of the liquid cooling hardware lifecycle. Collaborate with cross-functional teams to define liquid cooling hardware requirements, specifications, and system architecture. Create and maintain accurate documentation of liquid cooling hardware designs, specifications, test procedures, and results. Analyze and optimize the performance of liquid cooling hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency. Establish processes for internal liquid cooling hardware testing, deployment, and performance optimization. Optimize,test, and support rack-level liquid cooling solutions, including in-rack CDU (Coolant Distribution Unit) configurations. Work with liquid-to-air sidecars and remote CDUs to manage heat rejection and optimize thermal performance. Collaborate with data center facilities teams to integrate liquid cooling systems into broader infrastructure designs. Develop and implement monitoring, alerting, and control systems for liquid cooling components (e.g., pumps, valves, flow sensors). Interface with server vendors and OEMs to validate compatibility of hardware with liquid-cooled chassis and configurations. Who You Are: Must have at least 4 years hands-on experience with in-rack CDUs, liquid-to-air heat exchangers, or end-of-row cooling units. In-depth knowledge of server hardware, components, and management technologies. Strong understanding of data center thermal design principles, including air and liquid cooling fundamentals. Familiarity with coolant types, thermal transfer mechanisms, and leak detection/mitigation techniques. Proficiency in ansible/python and experience with programmatically interacting with hardware using IPMI, SSH, or Redfish (preferably Redfish). Proven ability to collaborate with hardware and facility engineering teams to deliver integrated cooling solutions. Strong passion for automation and infrastructure scalability, with a commitment to continuous improvement. Excellent documentation skills and attention to detail. Strong analytical and problem-solving abilities. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $120,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description Company Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We are seeking a Senior Data Modeler to define, evolve, and govern our enterprise-wide North Star Data Model. This role will make data consistent, interoperable, discoverable, and reusable across business domains, products, analytics, and AI use cases. The Senior Data Modeler will work with Product, domain experts, Data Engineering, Analytics, Architecture, Governance, and Security to translate business concepts into a shared enterprise data language and practical models that teams can implement across the Bronze, Silver, and Gold layers of our data platform. This is not a role focused only on designing tables for individual projects. It owns the connective tissue between domain models: the common entities, identifiers, relationships, definitions, metadata, and standards that allow trusted data products to work together across the enterprise. What you will do Establish the enterprise North Star Data Model Define and maintain enterprise conceptual, logical, and physical data models across core business domains. Establish canonical business entities, shared dimensions, reference data, identifiers, relationships, and lifecycle states. Create a pragmatic model that supports domain autonomy while enabling cross-domain analysis and data sharing. Maintain an enterprise ontology, business glossary, and semantic definitions so that important terms and metrics mean the same thing across products and teams. Design for reuse, extensibility, regional variation, and future use cases while avoiding unnecessary centralization. Model the Bronze, Silver, and Gold data layers Define modeling principles and required artifacts for each layer: Bronze: Preserve source fidelity, source lineage, ingestion metadata, auditability, and raw-data contracts. Silver: Standardize and validate data; apply common identifiers, canonical entities, conformed dimensions, data-quality rules, and cross-domain integration patterns. Gold: Deliver governed, business-ready data products, semantic models, certified metrics, and analytics-ready structures for dashboards, self-service analysis, and AI. Ensure traceability from Gold metrics and business concepts back through Silver transformations to authoritative Bronze sources. Define clear rules for when a concept belongs in a domain model, the shared enterprise model, a semantic layer, or a product-specific analytical model. Review and guide physical implementations for performance, maintainability, cost, privacy, and scale. Enable data products and delivery teams Partner with Product Managers and domain leaders to turn business outcomes and use cases into clear data-modeling requirements. Partner with Data Engineers to define schemas, transformations, mappings, data contracts, and implementation patterns. Partner with BI developers to create governed semantic models, reusable measures, and self-service-ready datasets. Facilitate architecture and design reviews; identify duplication, inconsistent definitions, broken lineage, and integration risk early. Provide model patterns, templates, and coaching that enable teams to deliver independently while following enterprise standards. Govern for trust, security, and global scale Embed data quality, lineage, ownership, retention, security classification, privacy-by-design, and access-control requirements into data-model designs. Model regional, regulatory, language, currency, and local-business variations without fragmenting global reporting or shared concepts. Define stewardship and decision rights for enterprise entities, metrics, and reference data. Maintain model documentation and metadata in the organization's data catalog and modeling tools. Measure adoption, reuse, quality, coverage, and exceptions to drive continual improvement of the North Star model. What success looks like Teams use the same definitions for shared business concepts and key metrics. New data products can be delivered faster because common models, dimensions, identifiers, and patterns are reusable. Cross-domain reporting is reliable, explainable, and traceable to authoritative sources. Data consumers can discover what data exists, what it means, who owns it, and whether it is fit for use. Regional expansion is supported through intentional extensions rather than isolated local models. Gold-layer analytics and AI experiences use certified semantic definitions rather than reconstructing logic independently. Qualifications Required qualifications 7+ years of experience in data modeling, data architecture, data engineering, analytics engineering, or related disciplines. Demonstrated experience designing conceptual, logical, and physical models for complex, multi-domain data platforms. Experience defining or evolving an enterprise data model, canonical model, semantic layer, ontology, or common data model. Strong understanding of dimensional modeling, normalized modeling, data vault or equivalent integration patterns, and lakehouse/warehouse design. Experience designing models for raw, standardized, and consumption-ready data layers in a modern cloud data platform. Proven ability to translate business concepts into unambiguous data definitions, models, mappings, and implementation guidance. Practical expertise in metadata, lineage, data quality, data governance, master/reference data, and data privacy. Strong facilitation and communication skills; able to influence senior stakeholders and delivery teams without relying on direct authority. Preferred qualifications Experience with Databricks, Delta Lake, Unity Catalog, Snowflake, or comparable cloud data platforms. Experience with a data catalog, modeling tool, and metadata-management platform. Experience supporting global products and multi-region data, regulatory, or data-residency requirements. Experience designing semantic models and governed metrics for BI, natural-language data experiences, or AI applications. Experience in a regulated, high-scale, or operationally sensitive environment. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible?Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role As a Product Support Engineer, you will be the primary field engineer responsible for ensuring reliable operations of Dexterity's Mech systems at customer sites. This role bridges hardware, systems integration, and field operations with ownership of diagnostics, repairs, retrofits, and lifecycle service actions. You'll lead on-site investigations, coordinate fixes, and interface tightly with both our Application Support team and core Engineering. You will also manage warranty claims, track spares, and implement retrofits and system upgrades. Success in this role means hands-on operational excellence, a deep understanding of Physical AI systems, and the ability to communicate clearly with both technical teams and operations leaders. Physical & Work Environment Location: Redwood City, CA. Office desk-based tasks and lab-floor testing. This position requires extended deployment to customer locations, with up to 30% of time spent stationed on-site. On-site assignments will involve warehouse conditions (temperature variations, industrial noise) and prolonged standing or walks. Assignments may span several weeks or months and are intended to minimize frequent travel by establishing a consistent presence at the customer site. Core Outcomes New Product Introduction: Ensure successful field deployment of new products by driving pilot execution, resolving early issues, and meeting customer KPIs. Reliable Operations: Maintain high Mech system uptime by diagnosing root causes and executing rapid, durable fixes in the field. Hardware Intelligence: Lead issue triage across electrical, mechanical, and electromechanical subsystems with support from HQ engineering. Lifecycle Stewardship: Own warranty actions, spare part tracking, retrofit execution, and RMA processing for your assigned sites. Collaborative Support: Partner with Application Support and TAC to troubleshoot complex cross-domain issues. Customer Confidence: Act as the face of Dexterity Engineering in the field-resolving chronic issues and maintaining long-term system health. Operational Excellence: Reduce repeat incidents by authoring runbooks, knowledge base articles, and automated diagnostics. Customer Trust: Become the named technical point-of-contact for one or more strategic sites. Engineering Feedback Loop: Deliver actionable bug reports and reproducible cases that accelerate root-cause analysis. Field Team Enablement: Provide real-time support and tooling guidance to product and hardware services teams at pilot and production sites. Key Responsibilities Serve as the field technical lead for Mech product deployments and steady-state operations Own root-cause analysis of hardware and system issues using field diagnostics, logs, and hands-on testing Perform repair, replacement, and upgrade activities in coordination with the support and service teams Collaborate with Applications Support to investigate application issues related to hardware triggers or sensor data Maintain accurate site-level spares, log part replacements, and manage warranty workflows and RMAs Execute retrofit procedures and validate system performance after changes Document issue trends and create feedback loops to improve future design and serviceability Train field personnel and integrators on proper hardware handling, calibration, and troubleshooting techniques Create or contribute to service manuals, troubleshooting trees, and repair guides Proactive Monitoring - Tune alerting rules, dashboards, and anomaly-detection models; perform trend analysis to prevent outages. Field Residency - Embed on customer site during go-live, major upgrades, or chronic issue hunts. Continuous Improvement Projects - Partner with Product Engineering on hardware improvements. Core Skills & Experience Strong troubleshooting skills across electromechanical systems, pneumatics, drives, sensors, and industrial robotics Comfort with Linux command line, log analysis, and basic application debugging (Python/SQL) Familiarity with tools like Jira, Zendesk, and knowledge base platforms Experience managing spares, executing RMAs, and coordinating with supply chain or service teams Ability to read schematics, wiring diagrams, and mechanical drawings Self-starter mindset, with ability to lead service actions under ambiguous field conditions Strong communication skills to clearly explain findings and collaborate across functions Familiarity with support tools and observability platforms (e.g., Grafana, Kibana, Foxglove, ArgoCD). Self-starter mindset with a willingness to take ownership in ambiguous environments Bias for Action - sense of urgency in production environments; willingness to "own the ticket" until closure. Nice-to-Have, Role-Specific Strengths Experience supporting warehouse robotics or industrial automation systems Familiarity with EtherCAT, Beckhoff, or Elmo servo drive systems Prior field service engineering or hardware NPI commissioning experience Experience developing or maintaining diagnostic tooling Knowledge of application-layer debugging, especially for real-time systems Understanding of reliability modeling, FMEA, or service metrics (e.g., MTTR, MTBF) Qualifications Bachelor's degree in Mechanical, Electrical, Mechatronics, or Industrial Engineering or related field 3+ years in field service, product support, or hardware debugging roles in robotics, automation, or complex electromechanical systems Physical ability to perform service tasks in warehouse environments, including equipment access, lifting, and calibration Comfortable working extended hours or on-call rotations for high-severity incidents. Our Total Rewards philosophy is designed to recognize contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility. For this position, the expected base salary range is $150,000 to $180,000 annually. Actual compensation will be determined based on skills, experience, education, and market factors, and may vary accordingly. Final compensation decisions are made individually and take a number of factors into consideration. Eligible employees may be considered for equity awards as part of their overall compensation. Access to benefits and wellness resources is provided in accordance with company policies and may vary based on role and location. Equal Opportunity Employer We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The core compute team builds and operates the compute infrastructure that underpins all the AI workloads running on CoreWeave. We turn accelerated servers into reliable, isolated, API-addressable compute that customers can build on, and we keep it healthy and current for the life of their workloads. Everything above us depends on it: customers running training, inference, agents, and sandboxes directly on our compute, and internal teams building higher-level services, including CoreWeave Kubernetes Service (CKS), on top of our primitives. About the role: As Staff Product Manager for Core Compute, you'll be responsible for driving the roadmap and strategy for the compute layer that everything else at CoreWeave sits on: how compute gets allocated and delivered, how it stays healthy and current, and how it is isolated and made consumable through APIs that both external customers and internal teams build against. You will be working on the foundation of the compute stack to both evolve what already exists, and help define the next generation of compute services for AI. In this role, you will: Lead the product strategy, roadmap, and execution for CoreWeave's core compute services, including instance lifecycle, node images and system software currency, hardware health and remediation, tenancy and isolation, and the capacity and reservation semantics customers buy against Serve two customer sets at once: external customers consuming compute directly, and internal teams building higher-level services, including CKS, on the same primitives Partner with engineering, sales, finance, and marketing teams to ensure alignment on goals, product details, effective product launches, and seamless go-to-market execution Conduct in-depth market research and competitive analysis to identify current state, emerging trends, and opportunities for differentiation Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation Define key metrics and establish robust reporting to monitor the performance of compute services, identify areas for improvement, and inform future decisions Who You Are: 8+ years of professional experience, with 5+ years in Product Management of cloud services or in the AI/ML market segment Deep understanding of cloud compute at the instance layer: how compute is provisioned, delivered, kept current, isolated, and reclaimed at scale Proven ability to lead cross functional teams, with strong decision-making, project management, and mentoring skills Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders Ability to think strategically while being able to dive into technical details to guide engineering teams Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus Preferred: Hands on experience with a large-scale compute or instance service, such as EC2, Google Compute Engine, Azure Compute, or an equivalent internal provisioning platform Familiarity with accelerated compute, high-performance interconnect, and the behavior of large multi-node workloads Good grasp of the financial/economic dimensions of operating cloud compute services Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to build businesses as much as build products You're curious about where the next product opportunity is, and where the AI market is going You're an expert in the fundamentals of how computers work at scale, and the implications of distributed systems The base salary range for this role is $188,000 to $275,00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description About Zūm: Zūm is revolutionizing mass mobility with its Connected Mobility Experience (Zūm CMX ) system that connects and coordinates people, vehicles, and operations in real time. In the $50 billion student mobility market - the largest segment of the mass mobility industry. Zūm CMX is transforming a daily source of anxiety and disruption into a reliable, transparent, and efficient mobility experience for students and families. Today, more than 6,500 schools rely on Zūm CMX. Recognized globally for its innovative approach and operational execution, Zūm has been named to Fast Company's World's Most Innovative Companies, CNBC Disruptor 50 and Changemakers, the World Economic Forum, and the Financial Times' Fastest Growing Companies lists. Zūm is backed by leading investors including Sequoia Capital, GIC, TPG, and Softbank. About the Position This role is based at the Company's headquarters in Redwood Shores, CA and requires you to be onsite 3x/week (Monday, Tuesday, and Thursday). We will only consider candidates already based in the Bay Area. Who You Are: Zūm is modernizing its iOS experience, and we're looking for a Senior iOS Engineer to help drive that work. Our iOS surface area spans multiple apps - Driver, Parent, Student, School, and Charter - that need to feel like one coherent product, moving thousands of students, vehicles, and school districts through a real-time logistics network. You're a strong individual contributor who wants real influence over technical direction: architecture decisions, modernization strategy, and how the team approaches iOS engineering, while staying hands-on writing production code. This isn't a feature-factory role - you'll be a key voice in setting the technical bar for iOS at Zūm. You'll work closely with our mobile lead, product, design, and engineering leadership on what the platform should look like, then help build the efforts that get us there. What You'll Do: Help own the architecture and technical roadmap for the iOS platform Contribute to modernization efforts that move the codebase toward a modern, scalable, shared platform underneath multiple apps Balance new feature delivery, legacy maintenance, and platform modernization work as we prepare the app for faster feature delivery Partner closely with our mobile lead, product, design, and engineering leadership on technical direction, and collaborate with mobile engineering partners on shared work Work across a wide surface area of APIs and services, bringing consumer-app polish to an operationally complex, enterprise-scale problem Help set the technical bar for iOS at Zūm: code quality, architecture patterns, and how the team approaches modernization Leverage AI tooling to accelerate development, improve code quality, and speed up modernization work Modernize legacy features of the app toward current SwiftUI patterns without stalling feature delivery Contribute to a shared platform layer that multiple Zūm apps (Driver, Parent, Student, School, Charter) can build on top of, instead of duplicating logic across codebases Rework how the app handles a large and growing surface area of APIs so the codebase stays maintainable as complexity increases Improve app performance and memory footprint, and build out telemetry/monitoring so the team can see how the app behaves in production Help identify which parts of the current app are worth keeping versus updating, and execute What You Bring To Zūm: 5+ years of professional iOS engineering experience, with real depth Strong, current command of Swift and SwiftUI; you're living in modern iOS development Experience owning meaningful parts of a consumer-facing app end-to-end, not just a single feature, page, or internal tool A product-first orientation: comfortable with infrastructure work, but your track record is primarily product-driven Experience working in a complex, consumer-facing app environment (think feature-rich apps with a large user base vs. a narrow enterprise tool or an SDK) Comfort contributing to architectural decisions and modernization efforts at scale Experience modernizing a legacy iOS app while it's still shipping features (preferred) Background at a company with a small-to-mid-sized mobile team, where you had real hands-on ownership (preferred) Experience partnering with an engineering leader or mobile lead on setting technical direction (preferred) Bonus Points: Domain experience in logistics, mapping, or fleet-style products Experience working across multiple related apps sharing common infrastructure or design systems The targeted base salary range for this role is listed in the compensation section below. Actual salary may be above or below this range based on factors such as location, skills, and relevant experience. In addition, this position may include additional compensation in the form of equity or commissions. If you are a full-time salaried or hourly worker, we offer the following benefits: Medical, Dental, Vision, 401(k), Holidays, Wellness, Vacation, and more. The targeted pay range for this role in CA, USA is: $200,000 - $240,000 plus stock options. We may use artificial intelligence (AI) tools, such as Lever, Fountain, Factory Fix, Metaview, Gem, Claude, to support parts of the hiring process, including reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on applicant's provided data or publicly available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us at legal- .

Job Description Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of "Blue Sky Coming". NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. Responsibilities Performance Analysis and Optimization Identify and analyze performance bottlenecks across CPU, memory hierarchy, cache, interconnect, and interrupt subsystems. Leverage hardware PMU counters to measure and interpret cycles, instructions, cache misses, branch mispredictions, TLB misses, and stall cycles. Compute and analyze performance metrics such as IPC, CPI, MPKI, memory bandwidth utilization, and stall breakdowns. Optimize system software, applications, and drivers for throughput, latency, and performance determinism. Virtualization Performance Tuning Profile and reduce hypervisor overhead, including VM exits, interrupt injection, and stage-2 MMU translation costs. Optimize vCPU placement strategies, huge page usage, and IRQ affinity for performance-sensitive workloads. Analyze and tune virtio and IOMMU performance paths. Investigate cross-core and cross-cluster latency issues, including IPI overhead and interrupt routing on ARM-based systems. CPU PMU and Microarchitectural Analysis Configure and interpret ARM PMUv3 and related vendor-specific performance monitoring extensions. Apply Top-Down Microarchitecture Analysis (TMA) to identify frontend/backend bottlenecks. Correlate PMU-derived metrics with kernel traces, source code paths, and system behavior. Design and implement custom event sets tailored to workload-specific performance characterization. Qualifications Required Qualifications Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related field. 8+ years of experience in system performance engineering or related roles. Strong understanding of computer architecture, including: CPU pipelines, execution engines, and memory hierarchy Interrupt architectures (e.g., GICv3/GICv4, APIC concepts) MMU, virtual memory, and page table structures Deep expertise with Linux performance tooling: perf eBPF / BCC / bpftrace ftrace / trace-cmd Proficiency in C/C++, Python, and shell scripting for performance tooling and automation. Preferred Qualifications Hands-on experience with ARM PMUv3 on Cortex-A55/A76/A78 or Neoverse platforms. Experience with one or more virtualization stacks: KVM/QEMU Xen seL4 or other RTOS/hypervisor environments Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with Brokerage Link option Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time 13 Paid Holidays a year Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO) Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO) Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance Commuter benefits Mobile Cell Phone Credit Free lunch and snacks Onsite gym Employee discounts and perks program Compensation The US base salary range for this full-time position is $192,100.00 - $249,600.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Alert IT Solutions Inc. Awarded Multi-Year, Multi-Million Dollar Contract by State of Illinois for IT Professional Services Established in 1994, Alert IT Solutions, Inc. is a trusted leader providing specialized IT project resourcing, and consulting services to government agencies in the State of Illinois. With over 25 years of relevant experience in the Information Technology industry, Alert IT Solutions, Inc. has built enduring relationships with State of Illinois agencies. Please learn more about us on Title: GIS Developer Duration: Contract Location: Springfield, IL Job Summary We are looking for a highly skilled GIS Developer with expertise in ESRI ArcGIS technologies to design and deliver geospatial solutions, including provider mapping applications (static and interactive). The role requires strong technical, analytical, and collaboration skills to support enterprise GIS initiatives and deliver high-quality mapping solutions. Key Responsibilities: Design, develop, and maintain GIS applications using the ESRI ArcGIS platform (ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online). Create maps (static and interactive) using ArcGIS tools and web mapping technologies. Develop custom GIS solutions using Python (ArcPy) and SQL for data processing and automation. Build and deploy interactive web GIS applications using ArcGIS API for JavaScript / Experience Builder. Perform spatial analysis, geoprocessing, and data visualization to support business use cases. Publish, manage, and maintain GIS services (map services, feature services). Collaborate with business users, stakeholders, and management to define project goals, timelines, and deliverables. Ensure timely completion of critical project tasks while meeting deadlines. Create technical documentation and provide clear verbal and written explanations of complex GIS processes. Maintain data quality, integrity, and adherence to GIS standards. Troubleshoot system issues and optimize performance of GIS applications. Required Qualifications: Bachelor's or Master's degree in: Geography / GIS / Geomatics, Computer Science / Engineering or a related field. Strong experience with ESRI ArcGIS suite: ArcGIS Desktop / ArcGIS Pro, ArcGIS Enterprise / ArcGIS Server, ArcGIS Online • Hands-on experience in creating provider maps (static and interactive). • Proficiency in: Python (ArcPy), SQL (for spatial and relational data handling) • Experience with web GIS development (ArcGIS API for JavaScript / Experience Builder). • Working knowledge of geospatial data formats and spatial databases. • Experience with GIS web services and REST APIs. Preferred Skills: ESRI Developer Certifications (highly desirable).

Job Description Job Description We have an immediate need for a Field Application Engineer to join the Testing Verification & Validations team. This position will work closely with customers providing hands-on support for Vector solutions in the customer's environment, and lead Vector activities to ensure customer satisfaction. Your Responsibilities: Provide strong technical support for PC-based network tools used by product developers and test engineers at OEM's and suppliers. Facilitate success of current products and identify requirements for future solutions. Maintain excellent knowledge of Vector test and validation tool chain features and operation. Work with customers to gather new tool requirements and work with Vector product development teams on behalf of the customer. Proactively initiate customer contact to develop positive, long-term, business relationships. Manage and implement projects to assist customers integrating Vector tools into their processes Identify and propose customer training opportunities including scope of instruction. Contribute information to market strategy by monitoring competitive products and providing feedback from customers. Provide customer training services, including helping to develop courseware and providing instruction in classroom and workshop environments. Conduct demonstrations and customer workshops to promote Vector tools within customer organizations. Requirements Knowledge of OEM/Tier1 automotive ECU development and testing processes. 3+ years of experience in the development of vehicle software/hardware systems. Experience with Hardware-in-the-Loop (HIL) systems is desirable. Excellent communication and presentation skills to communicate technical and other information to customers and team members. Experience with C/C#/C++ is required. Knowledge of modern DevOps, and CI/CT/CD processes a plus. Experience with MATLAB/Simulink/Labview/.NET a plus Understanding of software design and distributed embedded computer architectures. Experience using/implementing automotive networking standards such as CAN, CAN FD, J1939, LIN, MOST, Ethernet, FlexRay, AUTOSAR. Previous experience with Vector tools (CANalyzer, CANoe, CAPL, vTESTstudio, VT System) is desirable Strong interest in automotive electronics, automotive diagnostics and communication protocols. Excellent troubleshooting and facilitation skills to bring issues to resolution. Strong communication skills including verbal and listening skills. Strong interpersonal skills to be effective with different levels and functions both at the customer and internally. Ability to work in a team environment with a sense of urgency to meet and exceed customer expectations. Understanding of test systems and procedures including MIL/SIL/HIL Willingness to travel to customer sites outside SE Michigan as necessary (typically B.S. in EE/SE/CE/CS or related field or equivalent combination of education/experience. Benefits Vector is a global, growing company with industry-leading software products. Vector has over 4,000 employees at 30+ locations worldwide, supporting manufacturers and suppliers with a professional platform of software and hardware tools, embedded software components, and services for developing embedded systems. Driven by our passion for technology, we develop solutions which relieve engineers of their demanding tasks. Our employees work on tomorrow's electronic technologies every single day. What we offer you: A core business in growing and exciting technologies. The atmosphere of a small company with the resources of a global organization with offices in Europe, the Americas, and Asia. A privately held enterprise: Our products and strategic direction are based on our customer's needs, not outside investment interests. An engineering company run by engineers. If you're an engineer, we speak your language. An 'open-door' environment: Communication with management is simple and direct, no rigid protocol to follow. The work-life balance of our employees underlies everything we do at Vector. Your work is our source code. Your passion and creativity is our success. You generate ideas and product innovations, and in return, we provide an attractive, high-tech working environment with a generous Total Rewards Program. This is an excellent opportunity for the right person. Local candidates only. EOE Veterans and Disabled

Job Description Job Description Overview East West Bank is seeking a highly experienced Enterprise Data Architect to lead the design, modernization, and governance of the bank's enterprise data architecture strategy and AI-ready data ecosystem. This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and scalable AI/data-driven architectures. The ideal candidate combines strong technical depth with practical implementation experience and the ability to drive enterprise alignment across business, technology, data, risk, compliance, and governance stakeholders. The role will lead data architecture strategy and standards supporting enterprise analytics, AI/ML enablement, governance, regulatory reporting, operational intelligence, and modern data product delivery across the bank. Responsibilities Define and lead the enterprise data architecture strategy, target-state roadmap, and modernization initiatives aligned to business priorities, AI enablement, and regulatory requirements. Design and maintain scalable and secured enterprise data architectures enabling analytics, AI/ML, governance, regulatory reporting, and operational intelligence use cases. Establish enterprise standards (approach, tooling, workflow) for data modeling, metadata management, lineage, reference architecture, semantic layers, integration patterns, and data lifecycle management. Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems. Define reusable integration patterns across traditional ETLs, APIs, streaming platforms, operational systems, cloud platforms, and analytical environments. Partner with data governance, cybersecurity, risk, compliance, and legal teams to ensure architecture controls support data quality, privacy, retention, lineage, auditability, and regulatory compliance. Drive AI-ready architecture initiatives including lakehouse design, semantic modeling, vectorized data architectures, metadata-driven frameworks, and scalable AI data pipelines. Partner with engineering, analytics, and business teams to operationalize scalable data products and enterprise data domains. Evaluate and implement modern data architecture tooling including metadata/catalog platforms, observability solutions, orchestration frameworks, and governance technologies. Lead enterprise data architecture reviews and governance processes to ensure alignment with approved standards, security controls, and target-state architecture principles. Serve as a senior advisor to executive leadership, translating complex architecture concepts into actionable technology and business strategies. Perform other duties as assigned. Qualifications 8+ years of progressive experience in enterprise data architecture, large-scale data platform modernization, data engineering, or solution architecture within financial services, fintech, insurance, or other highly regulated industries. Strong hands-on experience designing and implementing enterprise data architectures in production environments, not solely strategy or governance roles. Deep expertise in enterprise data lifecycle management including data modeling, integration architecture, metadata management, lineage, master/reference data management, retention, and governance. Strong experience with Azure-native and modern cloud data ecosystems including Azure Databricks, ADLS Gen2, Synapse, Microsoft Fabric, Azure Data Factory, Spark, and distributed data platforms. Strong understanding of AI/ML and advanced analytics architecture requirements including AI-ready data pipelines, semantic modeling, feature engineering support, and scalable analytical data environments. Hands-on experience with enterprise data architecture tooling including Erwin, ER/Studio, Collibra, Microsoft Purview, Alation, Visio, Lucidchart, or equivalent platforms. Strong understanding of modern architecture patterns including lakehouse architecture, event-driven systems, APIs, data mesh, data fabric, and distributed processing frameworks. Practical experience implementing enterprise controls supporting data quality, security, privacy, access governance, auditability, and regulatory compliance. Strong understanding of banking regulatory expectations including BCBS 239, SR 11-7, RCSA, CCAR, CECL, AML/BSA, and enterprise risk reporting principles. Demonstrated ability to influence senior stakeholders and drive alignment across engineering, analytics, infrastructure, governance, cybersecurity, and business teams. Excellent communication and executive presentation skills with the ability to simplify complex technical concepts for non-technical stakeholders. Bachelor's degree in Computer Science, Information Systems, Engineering, Data Architecture, or related technical discipline. Highly Preferred Direct experience building enterprise AI/ML or GenAI-ready data platforms within banking or highly regulated industries. Experience designing vectorized data architectures, semantic search platforms, feature stores, or AI-enabled data product ecosystems. Hands on experience working with vector database tools such as Pinecone, Pgvector, Qdrant, etc. Strong expertise in enterprise metadata, cataloging, governance, and lineage frameworks supporting regulatory transparency and audit readiness. Experience leading enterprise-wide cloud data transformation or modernization initiatives at scale. Hands-on experience with Kafka, event streaming platforms, API gateways, microservices, and real-time data processing architectures. Architecture certifications such as Azure Solutions Architect Expert, Databricks Professional Architect, TOGAF, or equivalent. Master's degree in data science, Computer Science, Engineering, or related quantitative discipline. Proven ability to operate as a highly autonomous enterprise architect balancing strategy, governance, and hands-on technical leadership. Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. As a Senior Software Engineer, Identity & Access Management, you will build and modernize the authentication and authorization capabilities that protect McKesson's healthcare technology platforms. This is a hands-on software engineering role focused on modern identity architecture, secure application development, and infrastructure automation. You will help migrate applications and identity capabilities from legacy authentication systems to modern identity platforms such as Okta while engineering identity infrastructure through Infrastructure as Code (IaC), including Terraform. You will own complex identity capabilities from technical design through implementation, testing, deployment, and production support, while helping establish scalable patterns that other engineering teams can adopt. What You'll Do Design, develop, test, and deploy secure authentication and authorization capabilities, including SSO, MFA, federation, provisioning, and identity lifecycle integrations. Lead the technical migration of applications and user populations from legacy authentication and directory systems to Okta or comparable modern identity platforms. Build and maintain identity infrastructure using Terraform and Infrastructure as Code, establishing reusable, version-controlled patterns for identity configuration and deployment. Design and implement identity integrations using OAuth 2.0, OpenID Connect (OIDC), SAML, and SCIM. Develop secure services, APIs, and integrations that support authentication, authorization, provisioning, and identity workflows. Partner with application engineers, architects, product owners, and security teams to translate identity and access requirements into scalable technical solutions. Integrate identity configuration and security controls into CI/CD pipelines, including automated testing and deployment practices. Review code and technical designs with particular attention to authentication and authorization correctness, secrets management, session handling, and secure engineering practices. Diagnose complex production identity issues involving tokens, sessions, federation, provisioning, application integrations, and access policies. Contribute to the architecture and roadmap for consolidating identity capabilities and retiring legacy authentication technologies. Mentor engineers on secure software development, identity patterns, IaC practices, and authentication architecture. Create clear technical documentation, identity-flow diagrams, deployment patterns, and operational runbooks. Partner with security, risk, and compliance teams to build identity solutions appropriate for a regulated healthcare environment. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills 5+ years of professional software engineering experience, including ownership of production applications, services, platforms, or distributed systems. 2+ years of hands-on identity, authentication, authorization, or security engineering experience. Strong programming experience in at least one language such as Java, C#, Python, or a comparable object-oriented/backend language. Production experience integrating applications with a modern identity provider such as Okta, Microsoft Entra ID, Auth0, Ping Identity, or a comparable platform. Hands-on experience with OAuth 2.0, OpenID Connect (OIDC), and SAML in production systems. Experience modernizing or migrating applications from legacy authentication technologies such as LDAP, Active Directory, SiteMinder, or custom authentication services. Hands-on experience using Terraform to provision and manage infrastructure or platform configuration as code, including reusable modules, source control, review, testing, and deployment practices. Experience building or supporting REST APIs, microservices, or distributed applications in security-sensitive production environments. Experience with modern CI/CD and automated software-delivery practices. Experience implementing secure engineering practices involving authentication, authorization, secrets, sessions, or access controls. Preferred Qualifications Deep hands-on experience with Okta, including SSO, MFA, lifecycle management, provisioning, policies, and application integrations. Experience managing Okta configuration through Terraform. Experience with SCIM-based provisioning and identity lifecycle automation. Experience with AWS, Azure, or GCP. Experience with Docker, Kubernetes, or other cloud-native technologies. Experience working with relational or NoSQL persistence technologies used in distributed applications. Experience with identity-related threat modeling, Zero Trust, least-privilege, or policy-based access controls. Experience building software in healthcare, financial services, insurance, life sciences, or another regulated environment. Familiarity with regulatory or security frameworks such as HIPAA, SOC 2, or comparable controls. Okta certification or equivalent identity-platform certification. What Success Looks Like In this role, you will: Deliver secure, production-ready identity capabilities that engineering teams can reliably integrate with. Increase the use of repeatable, version-controlled Terraform/IaC patterns for identity configuration rather than relying on manual platform administration. Successfully move applications and identity capabilities away from legacy authentication technologies without compromising application availability or access. Establish reusable authentication, authorization, federation, and provisioning patterns that reduce one-off identity implementations. Improve the reliability, maintainability, and security of identity integrations through automated testing, CI/CD, documentation, and operational standards. Become a technical resource for engineers working through complex authentication and authorization problems We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: % Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program. You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise. This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations. Responsibilities Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities Support real-time and streaming architectures using event-driven processing and distributed messaging systems Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs) Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M) Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams Mentor architects and engineering teams while promoting consistency, governance, and technical excellence Technical Environment Cloud-native data platforms (AWS, Azure) Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow) APIs, event-driven architectures, and distributed integration platforms ETL/ELT pipelines and large-scale data processing frameworks MLOps, AI/ML-enabled analytics, and model deployment environments Infrastructure-as-Code and automation tools (Terraform) DevSecOps pipelines and CI/CD automation frameworks Data governance, metadata, lineage, and catalog platforms Agile and scaled Agile (SAFe) delivery environments Delivery and collaboration platforms (Git, Jira, Confluence) Required Skills and Experience 10-14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives Proven experience designing enterprise data architectures for large-scale, distributed systems environments Experience operating within Agile and SAFe/scaled Agile delivery frameworks Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures Experience implementing metadata management, lineage, catalogs, and governance frameworks Experience with system-of-systems integration, APIs, interface management, and distributed architectures Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks Experience with cloud-native data services across AWS and Azure environments Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems Core Strengths Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures Strong ownership mindset with accountability for architecture, governance, and operational outcomes Ability to influence technical direction across engineering, analytics, architecture, and operational teams Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements Effective communication across technical, operational, and executive stakeholders Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments Nice to Have (Differentiators) Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks Experience supporting statistical and similarly large-scale federal modernization programs Experience with large-scale real-time analytics or event-streaming environments Experience implementing enterprise AI governance or advanced analytics frameworks Experience supporting DataOps or platform engineering initiatives Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance. _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment . click apply for full job details

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: % Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program. You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise. This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations. Responsibilities Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities Support real-time and streaming architectures using event-driven processing and distributed messaging systems Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs) Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M) Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams Mentor architects and engineering teams while promoting consistency, governance, and technical excellence Technical Environment Cloud-native data platforms (AWS, Azure) Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow) APIs, event-driven architectures, and distributed integration platforms ETL/ELT pipelines and large-scale data processing frameworks MLOps, AI/ML-enabled analytics, and model deployment environments Infrastructure-as-Code and automation tools (Terraform) DevSecOps pipelines and CI/CD automation frameworks Data governance, metadata, lineage, and catalog platforms Agile and scaled Agile (SAFe) delivery environments Delivery and collaboration platforms (Git, Jira, Confluence) Required Skills and Experience 10-14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives Proven experience designing enterprise data architectures for large-scale, distributed systems environments Experience operating within Agile and SAFe/scaled Agile delivery frameworks Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures Experience implementing metadata management, lineage, catalogs, and governance frameworks Experience with system-of-systems integration, APIs, interface management, and distributed architectures Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks Experience with cloud-native data services across AWS and Azure environments Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems Core Strengths Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures Strong ownership mindset with accountability for architecture, governance, and operational outcomes Ability to influence technical direction across engineering, analytics, architecture, and operational teams Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements Effective communication across technical, operational, and executive stakeholders Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments Nice to Have (Differentiators) Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks Experience supporting statistical and similarly large-scale federal modernization programs Experience with large-scale real-time analytics or event-streaming environments Experience implementing enterprise AI governance or advanced analytics frameworks Experience supporting DataOps or platform engineering initiatives Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance. _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment . click apply for full job details

Job Description Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are seeking a Data Architect - Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making. Responsibilities: Architecture & Modeling: Lead source-to-target mapping from external Hub vendors to internal systems (EDB). Define logical/conceptual data models and act as the primary SME for Patient Services data structures. Data Stewardship: Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation. Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas. Quality & Integrity: Proactively resolve data issues and define validation rules. Collaborate with DD&T to implement data quality checks within the pipeline ecosystem. Vendor Accountability: Direct engagement with PS Hub vendors and aggregators to investigate root causes, enforce Data SLAs, and validate data fixes before and after transmission. Analytics Enablement: Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards. Requirements 15 + yrs of experience in data architecture, data management, or data engineering roles. Strong experience with healthcare, patient services, or life sciences data (mandatory). Demonstrated expertise in data quality management, validation, and issue resolution. Experience working with external vendors and complex data pipelines. Strong SQL skills and experience querying enterprise data platforms. Proven ability to translate business needs into data requirements and quality rules. Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment. Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes. Knowledge of data governance frameworks and master/reference data concepts. Ability to operate in a matrixed, cross functional environment. Key Competencies Data ownership mindset and attention to detail Strong analytical and problem-solving skills Clear communicator with technical and nontechnical partners Comfortable driving accountability across vendors and stakeholders Able to balance operational rigor with strategic impact Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. You will help develop its Rust backend, creating financial technology where precision, quality and scalability matter, while working closely with engineers in Fort Lauderdale and Zurich. These 3 roles are among the first engineering roles at our new Fort Lauderdale development center, offering significant scope for ownership as the team grows. You will work directly with clients, see how your solutions are used and bring those insights back into the product. The role includes onboarding with the Zurich team, collaborative mornings and productive afternoons, with regular travel to Switzerland and occasional travel to client sites. Our stack Rust with Tokio and the AWS SDK for Rust. Serverless-first on AWS, using Lambda, DynamoDB, SQS and S3, with GitHub Actions for CI/CD. Clients integrate through our APIs and the Model Context Protocol (MCP). We do not run containers. Useful domain experience Depending on the role, relevant experience may include wealth and asset management, discretionary portfolio management, investment performance and attribution, portfolio valuation and rebalancing, benchmarks and fees, or US investment taxation, including tax lots, cost basis, holding periods, wash sales, corporate actions, withholding and tax reporting. What you'll do: Design, develop and test Rust backend services for complex financial products, with a focus on accuracy, scalability and reliability. Translate complex financial rules and mathematical concepts into precise, efficient and testable software, accounting for numerical precision and edge cases. Build scalable solutions using historized, non-relational data models and asynchronous, event-driven architectures. Contribute to technical specifications, design discussions and code reviews, using AI coding agents while maintaining rigorous review standards and accountability. Own features through the development lifecycle, from implementation and automated testing to deployment and monitoring, working alongside Platform and SRE engineers. Work directly with clients and domain specialists to analyse product questions, solve problems and bring insights back into product development. Qualifications Strong programming foundations in a statically typed language such as Rust, C++, Java, Scala, Kotlin, C#, Go or TypeScript. Master's degree or PhD in computer science, mathematics, physics or a related quantitative field. Strong modelling skills, including experience or understanding of historized data, effective dating, immutability and audit trails. Strong analytical ability and intellectual curiosity, with the ability to quickly learn new technologies and complex financial domains. Clear and confident communication skills, with the ability to explain technical concepts effectively to both technical and business audiences. Ability to work independently within a distributed team and travel to Switzerland and client sites when required. It would be a real bonus if you have: Production Rust experience, or experience with another systems/strongly typed language such as C++, Haskell, OCaml or Scala. Experience in wealth or asset management technology, including investment performance, portfolio construction/rebalancing, or tax, accounting and other rule-heavy financial software. Experience with AWS serverless and event-driven architecture, particularly Lambda, DynamoDB, SQS, S3 and API Gateway, or related distributed-systems technologies. Experience with AI-assisted engineering, client-facing product development, research or open-source software. Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.