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Seeking a Senior Terraform Developer to design, build, and operate infrastructure-as-code solutions that enable scalable, repeatable, and secure platform services. This role is ideal for an engineer with deep expertise in Terraform module design, resource modeling, and API-based integrations, coupled with strong automation and testing discipline. The Senior Terraform Developer will be responsible for developing and maintaining reusable Terraform modules that model complex infrastructure and platform resources, including integrations with external systems via APIs. This role emphasizes clean module interfaces, strong abstractions, and maintainable state management, ensuring infrastructure configurations are reliable, auditable, and extensible. A key responsibility of this role is to implement end-to-end automated testing for infrastructure changes, validating behavior across planning, provisioning, integration, and lifecycle operations. The ideal candidate will leverage Go and Python to build tooling, automation workflows, and custom validation frameworks that support infrastructure delivery at scale. This role requires strong troubleshooting skills across large-scale, multi-environment deployments, including the ability to analyze Terraform plans, provider behaviors, API interactions, and state drift. As a senior engineer, the candidate will influence standards, best practices, and architectural direction, while mentoring other engineers and collaborating closely with platform, security, and application teams 8+ years of overall software or platform engineering experience 5+ years of hands-on experience developing and operating Terraform-based infrastructure solutions in enterprise environments Deep expertise in Terraform module design, including input/output modeling, composition patterns, and versioning strategies Strong experience modeling infrastructure and platform components that integrate with external APIs and services Proficiency in Go (Golang) for Terraform-related tooling, testing frameworks, or provider development Strong experience using Python for automation, orchestration, and validation workflows Proven experience implementing end-to-end automated testing for infrastructure, including plan validation, integration testing, and lifecycle testing Strong understanding of Terraform state management, dependency modeling, and drift detection Demonstrated ability to troubleshoot Terraform executions and resolve issues related to providers, APIs, and resource lifecycles Proficiency with Git and modern CI/CD workflows, including code reviews and automated pipelines Experience developing or extending custom Terraform providers or working directly with provider SDKs Strong understanding of API authentication and authorization concepts, including token-based auth and service credentials Familiarity with contract-driven resource modeling and aligning Terraform abstractions to underlying service APIs Experience integrating Terraform workflows into CI/CD pipelines with policy checks and automated validation Knowledge of policy-as-code frameworks (e.g., Sentinel, OPA) for enforcing infrastructure standards Experience working in cloud or hybrid environments, including networking, security, and platform services Strong appreciation for clean, well-documented Terraform code, with an emphasis on reusable and supportable modules Demonstrated ability to mentor engineers, contribute to design reviews, and influence infrastructure standards Excellent collaboration skills, with experience working across platform, application, and security teams

Job Title: Senior Platform Engineer: Location: New York, NY ( Hybrid) Type: Full Time Salary: $185000 - $195000+ Equity( $65K)+ Bonus (10%) The Opportunity Our Tech client building the infrastructure backbone for the next generation of AI-powered advertising verification that processes billions of impressions daily from the world's largest social media platforms. As a SeniorPlatform Engineer on their US Hub team in NYC, you'll be at the intersection of platform engineering and artificial intelligence, pioneering what doesn't exist yet. You'll own critical platforms, architect novel solutions for AI agent deployment (LangChain, ADK), and work across multiple engineering teams to define standards that impact hundreds of developers. If you want to build the future rather than just maintain the present, this is your opportunity. What You'll Achieve Pioneer AI Infrastructure • Design and build the foundational infrastructure for deploying AI agents at scale, working with emerging technologies like LangChain and Agent Development Kit to create capabilities that don't yet exist in the market, • Partner directly with AI/ML teams to enable rapid deployment of agentic solutions, turning research into production systemsOwn Critical Platforms, • Architect, deploy, and operate our Kubernetes platform across cloud (GCP/AWS) and data center environments, ensuring 99.9%+ uptime for systems processing billions of daily transactions, • Build the tooling and automation that makes complex systems simple for 100+ developersElevate Engineering Excellence, • Create operators, microservices, and management tools that shape how engineers across DV interact with infrastructure, • Drive CI/CD evolution, building self-service capabilities that empower teams while maintaining security and reliabilityShape Technical Standards, • Influence product design from the ground up, ensuring new features integrate seamlessly with DV's infrastructure, • Work across multidisciplinary DevOps teams to establish patterns that scale across the organizationWhat You'll BringRequired:, • 5+ years in DevOps/Platform Engineering roles with significant software development (we need engineers who write code, not just YAML), • 3+ years owning and operating production Kubernetes platforms (cloud or on-prem), • Strong programming skills in at least one of: Python, Go, or TypeScript - you should be comfortable building microservices and automation tooling, • Cloud platform expertise in GCP or AWS (multi-cloud experience is a plus), • Observability mindset - you naturally think about metrics, logging, tracing, and use data to drive decisions, • Builder mentality - you're energized by creating systems that encourage automation, observability, and ease of maintenanceNice to Have:, • Experience developing AI workloads using frameworks like LangChain, CrewAI, or Google Agent Development Kit, • Background in site reliability engineering (SRE) practices, • Contributions to open-source DevOps tooling, • Cloud: GCP (primary), AWS, Oracle Cloud (emerging), • Orchestration: Kubernetes (GKE, Rancher), ArgoCD, Helm, • AI/ML: LangChain, OpenAI Agents SDK, Google ADK, n8n, • Observability: Prometheus, Grafana, Datadog, • CI/CD: GitLab CI/CD, GitHub Actions, • IaC: Terraform, Ansible, • Languages: Python, Go, Bash, TypeScript Estimated Min Rate: $129500.00 Estimated Max Rate: $195000.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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About Prismera Prismera builds AI for commercial real estate portfolio operations. Our platform ingests unstructured portfolio documents and turns them into structured intelligence that powers how institutional owners and operators manage portfolios worth billions. We handle everything from document understanding and data extraction to agentic portfolio workflows and deal execution. We are backed by industry-leading executives, trusted by publicly traded REITs and national operators, and scaling into the largest institutional CRE firms in the world. The Role This is a founding design engineering role. You will own how Prismera looks, feels, and works: the interface design, the interaction patterns, the frontend implementation, and the systems that tie it all together. The core problem is this: commercial real estate portfolio operations are enormously complex. Hundreds of workflows, thousands of documents, multiple user types ranging from a 25-year-old analyst to a 60-year-old portfolio manager who has been doing this for decades. The instinct most platforms have is to solve complexity with more surface area. More tabs, more pages, more menus. That is not what we are building. You will figure out how to collapse that complexity into something so simple it feels obvious, without losing any of the power underneath. You will write production code. You will ship what you design. You will build relationships with customers across our client base and use those relationships to inform every decision you make about the product. If you think of yourself as someone who hands off Figma files, this is not the right fit. What You'll Do • Own the end-to-end design and frontend implementation of Prismera's product. You design it, you build it, you ship it., • Define the UX patterns for agentic AI workflows: how users interact with AI that acts autonomously on their behalf, how they build trust in its outputs, how they intervene when they need to. This is a new design space with very few established patterns., • Solve the information density problem: enterprise CRE users need access to massive amounts of data without being buried in it. You will design interfaces that surface the right information at the right time and hide everything else., • Build a design system and component library that scales as the product grows, without accumulating technical debt along the way., • Build and maintain direct relationships with an array of enterprise customers. You will be on calls, in Slack channels, and in their workflows regularly. What you learn from those relationships is what drives product decisions. Who You Are • 1-3 years of experience as a design engineer, product designer who codes, or frontend engineer with strong design instincts. What matters is the quality of what you've shipped, not the title you held., • You can go from concept to production code. You are fluent in React and modern frontend tooling, and you write clean, maintainable code., • You think about design in terms of user psychology, not just aesthetics. You care about button radius, but you care more about whether the person using the interface actually understands what is happening and what to do next., • You have strong opinions on simplicity. You believe the hardest design problem is figuring out what to leave out., • You are comfortable designing for users with wildly different levels of technical sophistication using the same product., • Experience designing for AI-native or agentic products is a major plus. If you've thought seriously about how humans should interact with autonomous AI systems, we want to hear about it., • You move fast, ship constantly, and refine based on real usage., • You want to be close to customers. You see direct client relationships not as a distraction from design work, but as the most important input to it., • Bonus: experience with enterprise SaaS, financial services, or complex data-heavy applications. Why Now We have enterprise customers, real revenue, and a product in a market where the incumbent software is decades old and was never designed for what AI makes possible. You would be joining at the earliest stage with the most leverage: not to maintain what exists, but to build what comes next.

We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction. Compensation for USA 140000-200000 USD Gross per year based on the interview process results. Responsibilities: • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads., • Optimize existing components for latency, throughput, and CPU/memory efficiency., • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably., • Profile and debug performance issues at application, OS, and network levels., • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions., • Write clean, production quality code with appropriate tests and documentation., • Participate in code reviews, design discussions, and continuous improvement of engineering practices. Mandatory Skills Description: • Strong proficiency in modern C++ (C++17/20 or later), • Hands-on experience with Market Data, • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.)., • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar)., • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization., • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.)., • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers)., • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.)., • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment. Nice-to-Have Skills Description: • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required., • Experience in financial markets, market data distribution, order routing, or exchange connectivity., • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus., • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP)., • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning)., • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs)., • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation., • KDB+, • Data Analysis with python (pytorch, pandas, arrow)

As a Senior Site Reliability Engineer at Braze, you will collaborate with your team and consumer engineering teams to continuously improve the infrastructure, automation, and tooling that build internal products from these technologies. Site Reliability Engineers (SREs) are responsible for keeping a

Engineer will be the technical authority for all aspects of manufacturing and production engineering for the CBAD program. Responsible for facilitating the selection or new infrastructure buildout for the CBAD production capabilities, including design and tooling requirements. Experience with Manufa

Job Description Project Overview HireScale is partnering with an innovative organization to reimagine how talent systems are built, operated, and scaled in an AI-enabled world. This is a 6-month full-service Talent Engineer engagement focused on designing and deploying intelligent hiring infrastructure that transforms how teams source, evaluate, and engage talent. The work is centered on building modern, AI-powered talent systems—not incremental recruiting improvements, but 0→1 transformation of the hiring stack. You will operate at the intersection of recruiting strategy, data systems, automation, and applied AI to create workflows that meaningfully improve speed, quality, and decision-making in talent acquisition. This engagement is built around shipping real systems, not strategy decks. You’ll use AI-assisted development and automation tools as force multipliers to rapidly design, test, and deploy scalable recruiting infrastructure—while maintaining strong discipline around data integrity, system design, and long-term maintainability. This is a hands-on builder role across the full lifecycle: • Translating hiring challenges into structured, systemized solutions, • Designing and deploying AI-enabled sourcing and screening workflows, • Building scalable talent pipelines and automation layers across ATS, CRM, and sourcing tools, • Turning fragmented recruiting processes into cohesive, data-driven systems, • Establishing infrastructure that can evolve from experimentation → production-grade talent systems The goal is not just to improve hiring—it’s to rebuild how hiring works, using AI and automation as core infrastructure. Scope of Work & Core Capabilities • Design and ship AI-enabled talent systems aligned to hiring and workforce goals, • Build and optimize end-to-end recruiting workflows across sourcing, screening, scheduling, and evaluation, • Translate ambiguous talent challenges into structured, scalable systems and automations, • Develop integrations across ATS, CRM, sourcing platforms, and internal HR systems, • Leverage AI and automation to improve recruiter productivity and candidate experience, • Apply strong systems thinking to ensure scalability, reliability, and maintainability, • Work across data layers to improve talent intelligence, reporting, and decision-making, • Utilize modern AI and automation tooling (LLMs, workflow automation, and orchestration platforms), • Develop across Python, JavaScript/TypeScript, and SQL-based environments where needed, • Work with APIs and platforms such as ATS systems, HRIS tools, and recruiting tech stacks, • Design and manage data flows supporting sourcing intelligence and candidate pipelines, • Collaborate closely with talent and business stakeholders to translate needs into systems, • Document architecture, workflows, and operational playbooks for long-term scalability and handoff Engagement Brief This 6-month consulting engagement is focused on building production-ready, AI-enabled talent infrastructure that materially improves how organizations hire and scale teams. Success is defined by shipped systems, measurable improvements in hiring performance, and sustainable internal capability—not advisory output. • Target Outcomes: Production-ready talent systems and AI-enabled recruiting workflows that improve sourcing efficiency, candidate quality, and time-to-hire. Deliver scalable hiring infrastructure, automation of repetitive recruiting tasks, and data-driven decision systems that elevate hiring quality and consistency. Ensure all systems are maintainable and fully operational for internal talent teams post-engagement., • Duration: 6 months (full service engagement), • Commitment: Full-service or fractional engagement, • Budget: Flexible based on scope, complexity, and proposal, • Start Date: ASAP, • Portfolio Requirements:, • 2–3 relevant projects in talent systems, recruiting technology, automation, HR tech, or AI-enabled workflow design, • Demonstrated end-to-end ownership (problem → system design → implementation → measurable outcome), • Clear evidence of impact (reduced time-to-hire, improved quality of hire, automation gains, or adoption metrics), • Supporting materials such as system diagrams, GitHub repos, case studies, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Become the expert on your team's business and technical domains., • Lead the planning, execution and release of complex technical projects., • Work with partners, product managers, and designers to solve challenging problems., • Collaborate with other engineers on the team to improve technology and apply best practices., • Implement step-wise technical migrations of our existing services and applications., • Own small to medium features or infrastructure projects from technical design through completion with little required guidance., • Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners., • Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers., • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments, • Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!, • Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems., • Demonstrates solid understanding of the practical application of CS concepts within their team., • Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.Bonus Points, • Experience supporting libraries and writing in Python and Golang., • Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • 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), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) What you'll do: • Developing and implementing responsive, accessible, and optimized web or mobile applications using HTML, CSS, JavaScript, TypeScript, React and other relevant frontend technologies., • Use Node.js to support front-end architecture, tooling, and server-side rendering for scalable web applications., • Working with backend developers to integrate frontend components with backend APIs and services., • Collaborating with product managers, designers, and other stakeholders to understand user needs and requirements and translate them into technical specifications., • Working with backend developers to integrate frontend components with backend APIs and services., • Ensuring the security, scalability, and performance of the frontend applications., • Testing and debugging the frontend code to ensure high-quality standards and fix any issues that arise., • Participating in code reviews, pair programming, and other collaborative activities to ensure code quality and knowledge sharing., • Maintaining code documentation and contributing to the company's knowledge base., • 5+ years of professional experience in frontend web development., • Strong proficiency in HTML, CSS, JavaScript, TypeScript, and one or more modern JavaScript frameworks such as React, or Vue.js., • Experience with responsive design and mobile-first development., • Experience with web performance optimization and web accessibility., • Experience with unit testing tools like jest and automated testing frameworks like selenium or cypress., • Proficiency in version control tools such as Git., • Experience working in Agile development environments. For candidates in NYC, CA or CO, the salary range for this role is $195,000 - $300,000 per year. You may also receive a bonus, stock options, and benefits. Individual pay decisions are based on several factors, including qualifications, 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, Boston, MA, Chicago, IL, and Washington, D.C. 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 San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly 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 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 an @mavenclinic.com 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 We are looking for a Senior Software Engineer. Our product is built from day one as a modern API First microservice architecture (Scala, ReactJS, TypeScript) with true continuous delivery and a deep investment in automated testing. This role reports to the Director of Engineering for the team and is based out of our Hoboken office. You Will: • Manage delivery of new features for the organization, • Share technical architecture with other members of the technology organization, • Promote technical design and coding standards that raise the technical bar of the team and product, • Propose and develop features, tooling, and infrastructure to scale the product, • Bring a rigorous approach to delivering quality software / verification of works as intended, • Focus on stability, metrics, and moving fast with confidence while iterating work with a modern cloud-based microservice architecture really learn how to deliver quality software efficiently with Global-e’s unique software development lifecycle, • Write code mostly in Scala. There is no need-to-know Scala in advance, just a desire to learn Requirements You Are: • Curious and enthusiastic for tackling tough problems and deliver, • Always learning and hungry for new knowledge and skill sharing, • A great verbal and written communicator – you’ll be part of a team and will be collaborating with stakeholders across the business, • A deep problem solver – the ability to analyse a business or technical problem and select the most appropriate solutions, • A multi-tasker with the ability to manage unplanned work without impacting committed, high priority deliverables, • A strong believer that great teams are necessary to create world class products. Willing to invest the time to build strong relationships and help others on the team grow You Have: • 6+ years of experience building highly scalable consumer-facing applications, • E-commerce experience, • Experience with Agile, Continuous Integration, Continuous Deployment, • Strong database experience, especially around scaling applications

Job DescriptionDescription: Job description: Manufacturing Process Engineer -Stainless Steel Carbody Manufacturing Company Description Do you want to shape the world of tomorrow and work on innovative projects? Then you’re a great fit for us! SEGULA Technologies is a global engineering group with 15,000 employees and 140 locations worldwide. We support innovation in energy efficiency, climate protection, decarbonization, and the development of next-generation technologies across industries In the United States, SEGULA Technologies Experts support key sectors including automotive, transportation, energy, software, and life sciences. As an independent engineering partner, we provide OEMs and suppliers with customized engineering services and direct customer project support. Join us to take on exciting technical challenges and contribute to high-impact manufacturing programs. Job Description SEGULA Technologies is seeking a Manufacturing Process Engineer with deep expertise in stainless-steel carbody shell manufacturing to support and improve production operations in a high-complexity rail/transportation manufacturing environment This role is heavily focused on stainless-steel fabrication, welding process optimization, deformation control, tooling effectiveness, and industrialization of engineering changes on the shopfloor. The ideal candidate will bring hands-on experience in stainless-steel structural assembly, particularly in environments involving carbody shells, welded assemblies, fixtures, and dimensional control This is a shopfloor-driven manufacturing engineering role focused on process improvement and production support. It is not a design engineering or procurement role. Key Responsibilities Stainless-Steel Manufacturing Process Optimization • Lead and implement process improvements specifically related to stainless-steel carbody shell manufacturing, including fabrication, fit-up, welding, and structural assembly. • Analyze and improve stainless-steel production flow, with a focus on reducing cycle time, improving repeatability, and increasing throughput. • Apply industrial engineering methodologies to improve efficiency, consistency, and quality in stainless-steel fabrication processes. Welding & Deformation Control • Support and optimize MIG/TIG welding processes for stainless-steel assemblies, ensuring robust process control and high-quality weld outcomes. • Drive initiatives to reduce and control heat distortion, warpage, shrinkage, and deformation in stainless-steel welded structures. • Develop and implement best practices for weld sequencing, clamping strategy, fixture usage, and dimensional stabilization. • Collaborate with production teams to resolve weld-related quality issues, fit-up challenges, and structural dimensional concerns. Tooling, Fixtures & Jig Optimization • Evaluate and improve tooling, jigs, fixtures, and clamping systems used in stainless-steel carbody assembly and welding. • Conduct detailed assessments of tooling performance to ensure proper alignment, repeatability, and deformation control during manufacturing. • Recommend and implement fixture or tooling modifications to support improved part accuracy, process capability, and operator efficiency. ECO / Change Industrialization • Lead the industrialization of Engineering Change Orders (ECOs) into the manufacturing environment for stainless-steel structures and assemblies. • Assess manufacturing impact of engineering changes, including effects on weld sequence, tooling, work instructions, cycle time, and quality controls. • Ensure all engineering changes are successfully translated into shopfloor execution with minimal disruption to production. Work Instructions & Manufacturing Documentation • Create, update, and maintain detailed Work Instructions (WIs) and manufacturing process documentation for stainless-steel fabrication and welding operations. • Ensure documentation reflects best practices for fit-up, weld preparation, sequence, deformation control, inspection points, and tooling usage. • Maintain digital traceability of all process changes, updates, improvements, and measurable outputs. Shopfloor Production Support Provide direct, hands-on shopfloor support to manufacturing teams for stainless-steel carbody operations. Troubleshoot production issues related to fit-up, welding quality, dimensional variation, process flow, and assembly repeatability. Partner closely with production, quality, and manufacturing leadership to ensure stable execution of stainless-steel manufacturing processes. Qualification Required Minimum 5+ years of experience specifically in stainless-steel carbody shell manufacturing or equivalent heavy stainless-steel welded structural manufacturing. Strong hands-on experience in stainless-steel fabrication, welding, structural assembly, and shopfloor manufacturing process improvement. In-depth knowledge of MIG/TIG welding processes for stainless steel, including weld behavior, heat input effects, and distortion/deformation control. Strong experience with: Deformation control / dimensional stability in stainless-steel welded assemblies MTM, time studies, and line balancing PFMEA and process risk assessment Root Cause Analysis and structured problem-solving tools (8D / PDCA) Proven ability to write and maintain: Work Instructions Manufacturing process documentation Digital records for traceability and change control Strong shopfloor presence with the ability to support operators, supervisors, and production teams in a fast-paced manufacturing environment. Preferred Experience in railcar / rail transportation / stainless-steel carbody shell manufacturing highly preferred. Lean Manufacturing certification. Green Belt or equivalent continuous improvement / problem-solving certification. Prior experience supporting welded structural stainless-steel assemblies with tight dimensional and cosmetic require Job Type: Full-time Benefits: • Do you have experience specifically in stainless-steel carbody shell manufacturing, • Do you have experience in stainless-steel fabrication, welding, structural assembly, and shopfloor manufacturing process improvement., • Do you have experience with MIG/TIG welding processes for stainless steel, including weld behavior, heat input effects, and distortion/deformation control., • Expertise specifically in stainless-steel carbody shell manufacturing, • Expertise in stainless-steel fabrication, welding, structural assembly, and shopfloor manufacturing process improvement., • Expertise with MIG/TIG welding processes for stainless steel, including weld behavior, heat input effects, and distortion/deformation control. Ability to Commute:

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionDescription: Hybrid Every other week onsite/5 days in Jersey City, NJ The organization seeks a Front End Engineer to build and modernize Angular applications that support financial professionals with dashboards and trade management capabilities. The role will design clean, scalable solutions, migrate AngularJS to modern Angular, and deliver micro front ends within a mono-repo. The engineer will collaborate with UX to translate design systems into reusable components and will integrate with REST APIs and real-time data. The environment is fast paced and expects senior-level autonomy to set up applications from scratch and deliver maintainable outcomes. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $75.00/hr. w2 Responsibilities: • Design, develop, and maintain Angular front-end applications and components., • Migrate legacy AngularJS features to modern Angular with a structured upgrade plan., • Build micro front ends within a mono-repo and manage shared libraries., • Translate Figma or equivalent designs into accessible, responsive, reusable components., • Integrate with REST APIs and real-time data sources such as websockets., • Implement data visualization using libraries including AgGrid and Highcharts., • Ensure code quality, performance, and reliability through standards and CI/CD., • Collaborate with product, UX, and engineering peers to deliver features on schedule., • Coach and mentor associates and contribute to development standards., • 6 to 9 years of hands-on front-end engineering with modern JavaScript frameworks, especially Angular., • Proficiency with Angular, TypeScript, Node.js, HTML, CSS/CSS3, SCSS, and JavaScript., • Experience with micro front ends, mono-repo concepts, and shared library management., • Integration experience with REST APIs and real-time data via sockets., • Experience with AgGrid, Highcharts, Bootstrap, moment.js, and NPM., • Comfort with VS Code and Git-based workflows., • Experience with Jira and CI/CD tooling such as Jenkins, CircleCI, or GitHub Actions., • Ability to convert Figma or equivalent designs into functional components using a design system., • Knowledge of NX Workspaces or other mono-repo frameworks., • Understanding of web components and component architecture., • Strong critical thinking, collaboration, communication, and influencing skills., • Ability to deliver scalable, maintainable solutions in a fast-paced environment., • Demonstrated capability to coach, mentor, and develop peers., • AWS Cloud experience (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionOur Product Ryvn builds the deployment infrastructure that powers mission-critical software in industries where reliability matters most — from healthcare and finance to manufacturing and beyond. Our platform enables teams to deliver software continuously and securely across complex environments, replacing fragile manual workflows with intelligent, automated orchestration. We’re rethinking how modern enterprises ship code — ensuring that updates move safely from development to production with speed, precision, and confidence. Our Company Ryvn is a Y Combinator–backed, seed-stage startup based in New York City, where our fully in-person team is building the next generation of deployment infrastructure. We combine the pace of a startup with the discipline of production-grade engineering — solving hard technical problems that have immediate real-world impact. Our team draws experience from Palantir, Vercel, and Capital One, blending expertise in distributed systems, developer platforms, and enterprise software. We’re backed by top investors who share our belief that the most critical industries deserve infrastructure that’s fast, reliable, and built to last. About the Role As a Founding Software Engineer at Ryvn, you’ll design and build distributed systems that transform how organizations deploy and manage software at scale. You’ll work across the stack — from core platform services and APIs to performance optimization and developer experience — owning problems end-to-end and shipping code that runs in production environments across healthcare, finance, and manufacturing. You’ll work side-by-side with the founders to shape Ryvn’s technical architecture, product roadmap, and engineering culture. This is a rare opportunity to join early, build foundational systems from first principles, and help define the DNA of a company reimagining how software reaches the world. What You’ll Do * Build at scale: Design, build, and maintain highly available systems that orchestrate software deployment across hundreds of production environments * Shape the foundation: Work directly with the founding team to define Ryvn’s technical direction and architecture * Solve and streamline: Identify inefficiencies and design elegant solutions — with the autonomy to ship fast and keep our technology ahead of the curve * Own complex systems: Debug performance issues across distributed systems, from backend services to production infrastructure * Balance tradeoffs: Navigate engineering decisions thoughtfully — balancing short-term velocity with long-term scalability and impact What We’re Looking For * 3+ years of software development experience, ideally including time at a small, high-growth company * Full-stack fluency: Comfortable working across web frameworks, APIs, and databases in multiple programming languages * Strong technical judgment: Able to make pragmatic, well-reasoned tradeoffs to drive projects forward * Ownership mindset: You take initiative, see problems through, and care deeply about the systems you build Nice-to-haves * Experience with cloud platforms such as AWS, GCP, or Azure * Experience deploying and scaling Kubernetes, Helm, and Docker * Familiarity with CI/CD tooling, especially GitHub Actions * Experience building with Go, TypeScript, and React * Comfort working with Postgres and S3 * Experience using Grafana, Prometheus, Loki, or Mimir for observability * Familiarity with infrastructure-as-code tools like Terraform, Pulumi, or CloudFormation Life at Ryvn * Fully in-person team in NYC * Company-paid medical, dental, and vision insurance * Unlimited PTO and sick leave * Annual professional development stipend * Company-paid lunch, dinner, and coffee * Annual retreats and team offsites Compensation Range: $160K - $220K

Job DescriptionWho We Are AI is changing how software gets built. Code production is becoming a commodity. The focus is shifting from writing code to orchestrating, verifying, and governing change – and the toolchain is the new constraint. Gradle is at the center of this shift. We build Develocity, a toolchain observability and intelligence platform used by some of the world's leading software organizations – Netflix, Airbnb, Spotify, SAP, major global banks, and hundreds more. Develocity helps software teams achieve delivery excellence through deep observability, build and test acceleration, and AI-powered intelligence across the entire toolchain – with current support for Gradle Build Tool, Apache Maven™, sbt, npm, and Python. We are an AI-native company. AI is not a feature we're bolting on – it's central to how we work, how we think about our product, and where we're heading. We're investing deeply in making Develocity's unique data and decades of domain expertise accessible to both humans and AI agents, with trust, evidence, and explainability at the core of everything we build. We have partnered with the Apache Software Foundation, the Commonhaus Foundation, the Micronaut Foundation, and other OSS projects such as Spring, Quarkus, Kotlin, JUnit, AndroidX, and many more to bring the values of Develocity also to the OSS Community. Our Values Seek to Understand: Everything starts with listening and understanding; we strive to understand diverse viewpoints, problems, and motivations. Before we take action, we ensure we truly grasp the challenges, perspectives, and goals. Know the Why: We approach our work with a clear sense of purpose, ensuring every step is deliberate and focused. We take meaningful action with urgency, but never at the expense of thoughtful consideration. Innovate & Iterate: We embrace challenges and are not afraid to try new things, even if they might fail. With a deep understanding and a clear purpose, we can develop creative, bold solutions to tackle challenges. Own the Outcome: We are empowered to take initiative, and we maintain transparency in our work and its outcomes. When we execute, we take responsibility for our decisions, measure the success of our innovations, and learn from the results. Who You Are You are an experienced and passionate B2B Senior Product Manager with a proven track record of leading strategy, roadmap, and delivery in the DevOps Toolchain and Build Artifacts space. You have honed your skills at an industry-leading developer tooling company. You have a deep understanding of software provenance, attestation, and supply chain governance — and you recognize how AI-driven software delivery is making these disciplines more critical and more complex than ever. You are fluent in compliance frameworks such as SLSA and bring experience defining product requirements for provenance data collection across the build process. You have a strong sense of the full customer lifecycle, from initial discovery through adoption and long-term value realization. You have a keen instinct for translating customer needs and market trends into product decisions that accelerate time-to-value. A strong cross-functional collaborator, you are equally comfortable working with engineering, sales, and marketing. Responsibilities • Product Strategy & Vision:, • Define and articulate a clear product vision, strategy, and roadmap for provenance and supply chain governance – accounting for how AI-driven development (coding agents, agent swarms, software factories) changes the threat model and compliance landscape., • Conduct thorough market research, competitive analysis, and customer interviews to identify opportunities and unmet needs across cloud, hybrid, and on-premises deployments., • Develop business cases for new product initiatives., • AI Integration:, • Establish the product direction for how AI agents and autonomous workflows interact with provenance and compliance, as consumers of attestation data and as subjects that require governance., • Collaborate with the AI strategy team to identify opportunities where Develocity's unique data and domain expertise can power AI-driven provenance capabilities, e.g., automated compliance verification, anomaly detection, and agent-ready provenance APIs., • Stay current with the rapidly evolving AI tooling landscape and evaluate how LLMs, coding agents, and agentic workflows impact software supply chain security., • Requirements & Prioritization:, • Gather, analyze, and prioritize product requirements, synthesizing input from all stakeholders, including customers, sales, support, and engineering., • Translate high-level business requirements into prioritized functional requirements with a clean value proposition., • Make pragmatic roadmap prioritization decisions with a clear rationale., • Go-to-market:, • Work with sales and marketing to develop go-to-market strategies, product positioning, and messaging., • Develop go-to-market materials to support the enterprise sales motion, such as presentations and demos., • Partner with customer-facing teams to understand and address customer pain points., • Customer & Market Advocacy:, • Evangelize for your products, presenting to customers, partners, and at conferences, as well as internally., • Actively engage with industry standards bodies and communities around SLSA, SPDX, in-toto, and other SDLC concerns., • Act as an external thought leader in the provenance and supply chain governance domain.Minimum Qualifications, • Proven experience in product management in a customer-facing, B2B context., • Proven ability to build and manage a pragmatic product roadmap., • Domain knowledge in the following:, • SDLC governance, GRC (Governance, Risk, and Compliance), and DORA metrics in an enterprise context., • Software Provenance and Attestation, e.g., SLSA and in-toto, • ITSM and Software Asset Management product practices, • Build systems, e.g., Gradle Build Tool and Apache Maven, • CI/CD practices, • Prior experience as a software engineer or a computer science degree., • Strong analytical skills with the ability to leverage data to inform product decisions., • Excellent collaboration and communication skills.Preferred Qualifications, • Deep understanding of security standards and frameworks relevant to the software supply chain, e.g., NIST, CISA, ISO 27001., • Experience with cryptography, signing, and key management practices in a developer tool context., • Experience with building AI-powered products, agentic workflows, or LLM-based tooling. What We Offer, • Shape a greenfield product area at the intersection of supply chain security and AI-driven development., • Close collaboration with an ambitious and experienced team, • Opportunities for growth in your career and in leadership responsibilities, • In-person meetings, such as our annual company offsite, team meetings, and onboardings, • Work from home in a remote-first environment Our team works remotely and is spread across the globe. We coordinate across time zones and stay connected through brief daily syncs — because we believe regular, direct collaboration brings out the best work.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +5 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job DescriptionCoreWeave 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 You'll Do: The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing. We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale. About the Role: As a Senior Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows. In this role, you will: • Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts., • Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager., • Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services., • Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design., • Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation., • Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries., • Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.Who You Are:, • (5)+ years of experience in security engineering or infrastructure engineering., • Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution., • Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production., • Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures., • Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS., • Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation., • Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator., • Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.Preferred, • Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment., • Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping)., • Experience with KMS design, including customer-managed keys and multi-tenant key isolation., • Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE)., • You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it., • You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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 Title: Senior Full Stack Software Engineer - on site Location: NYC, NY working Fast-scaling AI sales intelligence platform turning customer conversations into structured data + automated revenue actions. Strong PMF, well-funded, and building at the intersection of AI agents + modern revenue infrastructure. Job Location NYC, NY in Soho Scope of Role • Drive end-to-end design and implementation of product requirements, including:, • Task breakdown and technical scoping, • Full feature development (frontend + backend), • Testing, deployment, monitoring, and ongoing production support, • Build and maintain high-quality, scalable full-stack systems using:, • React, Next.js, Tailwind (frontend), • Go, Postgres, Kafka, Redis (backend/data systems), • AWS + Kubernetes for infra and deployment, • Collaborate closely with Product, Design, and Engineering teams to:, • Translate product specs into production-ready features, • Influence product direction with technical and product-driven ideas, • Identify opportunities to improve internal systems and workflows, • Own the full software development lifecycle, including:, • Problem definition and technical discovery, • System design and architecture decisions, • Implementation and iterative development, • Testing and validation, • Demoing and supporting production use cases, • Contribute to and improve the AI-powered sales intelligence platform, including:, • Structuring and processing customer interaction data, • Supporting AI agent workflows and automation systems, • Enhancing CRM intelligence, reporting, and revenue visibility tools, • Balance short-term delivery needs vs long-term architecture, making pragmatic engineering trade-offs, • Continuously improve code quality, system reliability, and scalability, • Work in a fast-paced, high-ownership startup environment, taking responsibility from idea → production → iteration, • Interview Stages 4, • MUST HAVE SKILLS: React, Next.js, TypeScript, Go, Postgres, AWS, Kubernetes, GraphQL/REST APIs;, • Strong product thinking, ownership mindset, ability to ship end-to-end features Strong product thinking, ownership mindset, ability to ship end-to-end featurIn office • Hiring is high-intensity, execution-heavy startup environment. Candidates must be comfortable with ambiguity and fast iteration cycles, • Strong preference for builders over maintainers (people who have shipped full features, not just maintained services), • Candidates should have real production ownership experience, not just feature contributions, • Best-fit profiles come from high-growth startups (Series A–C) or strong engineering orgs where they had direct impact on product + architecture, • Must be comfortable working across frontend + backend (true full-stack, not backend-heavy engineers), • Strong bias toward candidates who have worked on:, • AI/ML-enabled products OR data-heavy SaaS platforms, • Internal tooling that powers revenue/sales/product workflows Benefits1. Can you walk me through your experience with Identity and Access Management systems. Specifically any work you’ve done with SSO, MFA, or protocols like OAuth2, SAML, or OpenID Connect? 2. Which language do you use most day to-day? Java or Python, and can you describe a project where you built or optimized a secure backend service? (Do not have to get too technical but client wants to know they have projects they can speak about)., 3. Have you worked in any regulated environments like healthcare or finance where compliance (HIPAA, SOC 2, ISO 27001, etc.) was important? (Even if not healthcare, candidates should show structured thinking about compliance and security standards), 4. What interests you about working on healthcare technology, and are you comfortable working hybrid in Pleasanton three days a week?

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job DescriptionDescription: About the Role We are seeking a highly skilled Senior Salesforce Developer to join our engineering team. In this role, you will be responsible for designing, implementing, and maintaining high-performance solutions on the Salesforce platform. We are looking for a developer who prioritizes system stability, data integrity, and the proactive management of technical debt to ensure a sustainable and scalable environment. This role is for off-shore only, Mexico Key Responsibilities • Core Development: Design and develop scalable technical solutions using LWC, Apex (Triggers, Controllers, Asynchronous processing), and modern JavaScript., • System Integrity & Stability: Enforce data consistency through rigorous server-side validation and "defensive" coding practices. Implement robust exception handling and logging frameworks to ensure the platform remains reliable under heavy load., • Technical Debt Management: Proactively identify and refactor legacy code or "quick-fix" solutions. You will be responsible for balancing the delivery of new features with the necessity of maintaining a clean, efficient codebase., • Documentation: Contribute to technical documentation, including architecture diagrams, ERDs, and inline code comments, for the areas you work on. You are not expected to own the full documentation practice, but you are expected to leave your work well-documented so that complex logic is understandable for the rest of the team and future maintainers., • Integration Frameworks: Implement secure integrations using Connected Apps, External Client Apps, and modern authentication protocols to bridge Salesforce with external systems., • Source Control & Deployments: Follow a source-driven (code-first) development approach using Git and GitLab. Our DevOps engineer manages the CI/CD pipeline (Copado / GitLab / Jira), but you are expected to:, • Work comfortably in a source-driven workflow, committing and managing your code in GitLab., • Learn and adopt Copado as the deployment tool to commit and promote changes through our pipeline., • Collaborate with the DevOps engineer on deployment processes and branching strategy., • LWC & Apex Mastery: Advanced knowledge of Lightning Web Components and Apex, with a focus on writing "bulkified" code that respects governor limits., • Data Architecture: Deep understanding of Salesforce sharing models, object relationships, and the Order of Execution to prevent recursion and data contention., • Source-Driven Development: Strong experience with a code-first approach. You build and retrieve using SFDX/SF CLI and commit to version control as your source of truth., • Modern Tooling: Proficiency with SFDX, VS Code, and CLI-driven development., • Accountability: You take responsibility for the stability of your code and proactively address performance bottlenecks or data anomalies., • Sustainable Mindset: You advocate for "doing it right" over "doing it fast," understanding the long-term cost of technical debt., • Detail-Oriented: You believe that code isn't "finished" until it is properly tested, documented, and peer-reviewed., • Experience: 3+ years of Salesforce development experience., • Certifications (Preferred, but not required):, • Salesforce Certified Platform Developer I & II, • Salesforce Certified JavaScript Developer I, • Salesforce Certified Integration Architect, • English Proficiency: Strong written and spoken English required. This role works directly with our US-based team and reports to a tech lead in the US, so clear communication across time zones is part of the daily workflow. Requirements:

Job Description About the Role Icreon is looking for a Senior Digital Experience Designer who operates at the intersection of design, technology, and AI. This is not a production role — it's a concepting and prototyping role. You will define how new digital experiences are designed and built, working closely with engineers and directly with clients across both new business pursuits and existing accounts. At a Glance Reports To: CXO Location: New York, NY (Hybrid) Split: 50% new business pursuits / 50% existing client accounts Type: Full-Time What You Will Do Concept and Design Next-Gen Experiences — Translate product ideas and emerging technologies into novel interaction models. Work early in the product lifecycle to define experience direction, not just screens. Design Through Prototypes — Move beyond static mockups. Rapidly iterate using Figma, Framer, and AI-assisted tools. Evolve prototypes into production-ready artifacts alongside engineering. Engineer Collaboration — Pair with engineers to design through code. Co-create experiences that balance design thinking with technical feasibility and shorten the design-to-build loop. Platform Experience — Design digital experiences for Sitecore and Optimizely platforms, as well as custom digital products. Client Communication — Translate complexity into clear narratives for CMOs, CTOs, and C-suite stakeholders in B2B environments. Contribute to product thinking and roadmap discussions. What We Are Looking For Experience • 5+ years in UX, product, service, or interaction design, • Portfolio demonstrating strong conceptual thinking and complex interaction design — not just polish, • Proven experience working side-by-side with engineers in product teams, • Systems thinker — you design behaviors and product logic, not just individual screens, • Fast, iterative operator — you prototype to think, not just to present, • Strong communicator — you can tell the story of a design decision to both engineers and C-suite stakeholders Icreon is seeing significant gains in leveraging AI across our team from autonomous engineering to agentic process re-architecture. Someone in this role is expected to get their hands dirty day-in and day-out and staying at the vanguard of where this industry is moving. Ways in which we're expecting this role to incorporate AI into the department • Workflow integration — Uses AI tools (Claude Code, Design, Runway, Higgsfield, Krea, ComfyUI, Pencil, or equivalent) as active parts of the design process, not occasional experiments, • AI-enabled experience design — Has a point of view on how AI reshapes interaction models and interface patterns — and can prototype that thinking, not just describe it, • Ideation and generation — Uses AI to accelerate concept exploration: generating visual directions, interaction variants, copy, and motion references faster than traditional methods allow, • Tooling and automation — Has built or contributed to custom AI workflows that reduce repetitive design work — template generation, asset creation, annotation, handoff documentation About Icreon Icreon is a digital consulting firm working across strategy, design, and engineering for enterprise clients. Our design team operates at the frontier of what digital products can be — this role is central to how we push that forward. Powered by JazzHR 7NzIqjaFzt

Job Description About Copia Copia Automation builds the version control and change management platform for industrial automation. Our customers are in oil & gas, manufacturing, and critical infrastructure — environments where the code running on PLCs, SCADA systems, and HMIs has direct safety implications. We bring modern software engineering practices to operational technology teams that have been underserved by tooling for decades. We’re a well-funded startup growing fast, with enterprise customers deploying Copia across hundreds of facilities. Our headquarters is in New York City. The Role We’re hiring a Lead Security Engineer to mature Copia’s security engineering program. You’ll work closely with our CISO and report into engineering leadership. This is not a siloed role. You’ll be the person responsible for detection engineering on Monday, IAM architecture on Tuesday, compliance evidence on Wednesday, and incident response whenever it’s needed. We need someone who can context-switch across security domains and knows which problem to prioritize on any given day. You should be comfortable building a security program, not just operating one someone else designed. If you’ve been the first or second security engineer at a startup before, you know exactly what this means. What you'll own: • Detection Engineering & Incident Response: Build, tune, and maintain detection pipelines and alerting. Run incident investigations and root-cause analysis. Drive toward full visibility and monitoring coverage across cloud and endpoint assets., • Cloud & Infrastructure Security: Secure our AWS environment — IAM policies, network segmentation, container security, secrets management. Codify security guardrails in infrastructure-as-code. Review architecture decisions with engineering for security impact., • Enterprise Identity & Cloud Access: Architect and manage identity infrastructure across cloud and SaaS environments — IdP configuration, SSO/OIDC integration, SCIM provisioning, conditional access policies, and RBAC design. Own the full identity lifecycle from onboarding to offboarding, enforce least-privilege across AWS accounts and SaaS applications, and drive access certification and governance programs., • Strong detection engineering skills — you’ve built and tuned SIEM rules, written detection content, and investigated real alerts, not just monitored dashboards someone else built, • Deep understanding of AWS security architecture — IAM, VPC design, multi-account strategies, and native security services, • Proficiency with infrastructure-as-code for security — codifying policies, guardrails, and configurations rather than clicking through consoles, • Experience with identity and access management architecture — IdP configuration, SSO/OIDC, RBAC design, and access lifecycle automation, • Scripting and automation chops in Python, Bash, or PowerShell for security operations, orchestration, and evidence workflows, • Experience with CrowdStrike Falcon (EDR + LogScale/NG-SIEM) or Datadog Security Monitoring, • Terraform expertise, including module development and policy-as-code (OPA, Sentinel), • Familiarity with fleet management tools (FleetDM, osquery, Jamf, or Intune), • Exposure to OT/ICS security concepts, industrial control systems, or critical infrastructure environments, • Experience with EU regulatory frameworks — NIS2, Cyber Resilience Act, IEC 62443, • Background in vulnerability management lifecycle — scanning, triage, remediation tracking, and executive reporting, • Your work has real-world safety impact. Our customers run critical infrastructure. Security here isn’t an abstract compliance exercise — it matters., • You’ll build, not just maintain. This is a greenfield opportunity to shape the security program at a company that’s scaling fast., • No bureaucracy. You’ll work directly with engineering and leadership. Your recommendations get implemented, not lost in committee., • Competitive equity. Full-time permanent employees receive meaningful ownership in a company with significant upside.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role Mirage is seeking a Research Engineer to build and scale the systems powering our video generation models. You’ll work closely with researchers to optimize performance, improve efficiency, and bring cutting-edge models into production. This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation. Responsibilities * Train and optimize large-scale video and multimodal models * Improve efficiency across training and inference (memory, latency, cost) * Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation * Build and maintain distributed training systems * Optimize GPU utilization, parallelism, and throughput * Develop tooling for experimentation, evaluation, and debugging * Translate research models into robust, production-ready systems * Monitor and improve model performance in real-world usage What makes you a great fit * 2+ years of professional industry experience * Strong experience in deep learning systems and infrastructure * Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.) * Experience scaling and optimizing large models under low-latency inference constraints * Strong debugging and performance profiling skills * Ability to move quickly from prototype to production * Strong software engineering fundamentals Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job DescriptionCoreWeave 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 Applications Engineering team in the Data Infrastructure organization builds AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows. The team develops CoreWeave's internal data-native software products, transforming data into operational capability through intelligent interfaces, automation, and decision systems. This includes AI-native analytics platforms (e.g., UNION) and mission-critical applications such as capacity planning and scenario modeling. These systems encode CoreWeave's differentiated operating knowledge into software, enabling scalable, data-driven decision-making across the business. About the role: As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave's core workflows. You will develop AI-enabled user experiences, scalable backend services, and intuitive interfaces that abstract away the complexity of underlying data systems. Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company. Who You Are: • 7+ years of experience building production-grade software applications, including both backend services and modern web frontends, • Strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript), • Strong experience building modern frontend applications using frameworks such as React and Next.js, • Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm), • Experience building and operating APIs and services (e.g., REST, gRPC) with a focus on performance and reliability, • Experience developing and deploying AI/ML/LLM-powered applications in production environments, • Familiarity with data platforms and tools (e.g., Spark, Kafka, or similar systems) and integrating them into application workflows, • Experience implementing software development best practices, including CI/CD, automated testing, observability, and secure application design, • Experience building AI-native applications such as text-to-SQL interfaces, copilots, or automated insight-generation systems, • Experience designing and building scalable, distributed systems deployed in cloud-native environments (e.g., Kubernetes), • Familiarity with real-time data processing or streaming architectures, • You love building user-facing applications that turn complex data into intuitive experiences, • You're curious about applying AI to real-world problems, not just prototypes 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 The base salary range for this role is $165,000 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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 DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a Staff DevOps Engineer at Superstate, you'll be responsible for building and maintaining highly reliable, scalable infrastructure that powers our financial products. You'll architect robust systems that ensure our platforms deliver exceptional performance, availability, and security at scale. You’ll be wearing many hats across general devops, security, observability, and reliability and help lead these initiatives.What you'll do • Design and implement scalable, fault-tolerant infrastructure for our web applications and blockchain systems, • Build and maintain CI/CD pipelines, deployment automation, and infrastructure as code, • Develop comprehensive monitoring, alerting, and observability systems to ensure system reliabilityLead incident response efforts and conduct post-incident reviews to improve system resilience, • Implement security best practices across all infrastructure and deployment processes, • Collaborate with engineering teams to optimize application performance and reliability, • Establish SLIs, SLOs, and error budgets to measure and improve service reliability, • Automate operational tasks and reduce manual toil through tooling and process improvements, • Manage capacity planning and cost optimization for cloud resourcesWhat you'll bring to the team, • Bachelor's degree in Computer Science, Engineering, or related technical field, • 8+ years of professional software engineering or infrastructure experience, • Extensive experience with AWS cloud services and infrastructure management, • Extensive experience with infrastructure as code (Terraform, Pulumi), • Strong background in systems engineering, networking, and distributed systems, • Expertise in containerization and orchestration (ECS, EKS)Proficiency in languages (Java, Go, Rust, or similar) for automation and tooling, • Deep understanding of security principles and secure infrastructure practices, • Experience with high-availability systems and disaster recovery planning, • Exceptional problem-solving skills with a reliability and security focused mindsetBonus points if you have experience with these technologies, • Microservices architecture and service decomposition strategies, • Observability tools (Prometheus, Grafana, Sentry, etc.), • Database administration and optimization (PostgreSQL, Redis, AWS RDS), • AWS security services (GuardDuty, Security Hub, WAF, Shield, Config), • Cloudflare optimization and security configurations, • Github Actions workflows and deployment strategies, • Compliance automation for financial services (SOC2, ISO, PCI DSS), • Chaos engineering/resilience testing and reliability best practicesBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave, • Full medical, dental, and vision insurance

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking a Software Engineer II (React Native) to join our Mobile Foundations team within Consumer App Foundations (CAF). This team builds and evolves the core React Native platform that powers StubHub's consumer applications. Rather than focusing on feature delivery, Mobile Foundations engineers invest in shared architecture, cross-platform infrastructure, performance, and developer tooling that enable product teams to move quickly while maintaining exceptional quality. As a React Native-focused engineer on this team, you will work primarily within our cross-platform stack, while collaborating with native iOS and Android layers when needed. You'll contribute to reusable systems and platform capabilities that support millions of users globally and ensure our mobile experience remains performant, scalable, and resilient. This role is ideal for engineers who enjoy solving foundational problems, improving developer velocity, and owning systems that other engineers depend on every day. Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the team: Consumer App Foundations (CAF) operates horizontally across StubHub to provide shared infrastructure, standards, and platform capabilities that power every consumer product team. The Mobile Foundations team focuses on: • Core React Native architecture and cross-platform foundations, • Shared component systems and reusable abstractions, • Native module integrations that extend React Native capabilities, • Performance optimization across the React Native and mobile stack, • Experimentation enablement and feature flag infrastructure, • Developer tooling, build systems, and CI/CD improvements What you'll do: • Design, build, test, deploy, and maintain shared React Native platform capabilities, • Develop reusable cross-platform components, hooks, and libraries, • Build and maintain native modules to extend functionality where needed, • Improve application performance, including startup time, memory usage, and runtime responsiveness, • Strengthen React Native architecture, state management patterns, and dependency structures, • Partner with product teams to ensure platform scalability, usability, and adoption, • Contribute to experimentation infrastructure and release enablement systems, • 3–5 years of professional software engineering experience, • Strong experience building and shipping production applications with React Native, • Solid understanding of JavaScript/TypeScript, component-driven architecture, and state management, • Experience building shared abstractions, libraries, or platform-level code, • Experience integrating backend APIs into production applications, • Familiarity with mobile performance optimization and cross-platform considerations (iOS & Android), • Comfortable operating in high-ownership, fast-moving environments, • Proven ability to independently deliver from implementation through production supportNice to have:, • Experience working with native iOS (Swift) or Android (Kotlin) code, especially for React Native bridging, • Experience building internal developer tooling or shared component libraries, • Experience improving mobile CI/CD pipelines and build systems, • Experience with feature flagging, experimentation frameworks, or release infrastructure, • Experience supporting high-scale consumer applicationsWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionCoreWeave 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 You'll Do:In this role, you will play a key part in ensuring the availability, reliability, and scalability of one of the industry's largest Kubernetes environments. As a member of the team, you will drive operational excellence, implement robust automation, and help shape the systems that keep CoreWeave's cloud running smoothly.About the role: • Build, operate, and scale Kubernetes-based production infrastructure that delivers CoreWeave's products with high reliability and performance., • Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments., • Design, implement, and maintain monitoring, alerting, and observability solutions—leveraging the Grafana ecosystem and related tools—to proactively identify and resolve production issues., • Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes., • Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs., • Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems., • Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards., • Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.Who You Are:, • Bring 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles., • Are knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations., • Have a proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance., • Possess experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics., • Demonstrate knowledge in infrastructure-focused programming—especially in Go and Bash—and hold a deep understanding of Linux systems., • Excel at troubleshooting complex production issues, from system failures to performance bottlenecks, and approach problems methodically with strong analytical skills., • Communicate clearly across technical and non-technical stakeholders, proactively sharing knowledge and advocating for operational best practices., • Are passionate about building systems that are not just functional, but robust, self-healing, and easy to operate at scale., • Take pride in driving continuous improvement, and helping set high standards for operational excellence and team culture.What Success Looks Like, • You deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets., • You champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response., • You actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $120,000 to $176,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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 DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Wilson Elser is a leading defense litigation law firm with more than 1400 attorneys in 46 offices throughout the United States. Founded in 1978, we rank among the top 100 law firms identified by The American Lawyer and 36 in the National Law Journal's survey of the nation's largest law firms. The Position We're looking for a Senior Network Engineer to own and evolve our enterprise network across multi-site and cloud environments. You'll be a key technical voice shaping infrastructure strategy, driving security posture through zero-trust principles, and ensuring high availability for business-critical systems — all while working remotely on a collaborative, senior-level team. Key Responsibilities Design & Architecture • Architect scalable, resilient network solutions including routing/switching, SD-WAN, firewalls, VPN, QoS, and zero-trust segmentation., • Define requirements, evaluate technologies, and lead infrastructure changes from design through implementation., • Perform proactive maintenance — patching, upgrades, tuning, and health monitoring across the networking estate., • Manage vulnerability findings and vendor security advisories for network equipment and systems., • Maintain accurate network documentation, configuration baselines, and topology diagrams., • Partner with security, infrastructure, and application teams to support firm-wide initiatives., • Evaluate emerging technologies and translate their impact into actionable recommendations., • Serve as a technical mentor and backup resource across the Network Engineering team., • 10+ years of hands-on network engineering experience across multi-site enterprise environments, • Bachelor's degree in Computer Science, Information Technology, or a related field — or equivalent professional experience., • Palo Alto Firewalls - Production deployment, policy management, and troubleshooting of Palo Alto NGFW (Panorama experience a strong plus)., • Cisco ACI - Hands-on experience with Nexus 9300/9000 series in ACI mode — fabric design, EPG/contract configuration, and troubleshooting., • Proven ability to architect, implement, and troubleshoot complex, multi-vendor network infrastructure., • Strong documentation habits — you leave networks better documented than you found them., • Ability to translate ambiguous business requirements into clear, implementable technical designs., • Excellent communication skills — comfortable presenting to both engineers and executives., • Strong project management instincts with the ability to juggle multiple workstreams independently., • A collaborative, team-first mentality balanced with the ability to drive work autonomously., • Routing & Switching, • Deep expertise in enterprise routing protocols (OSPF, BGP) and switching (VLANs, port channels, spanning tree, QoS) across multi-site environments., • Cisco certification at the professional or expert level (CCNP, CCDP, or CCIE) strongly preferred., • Experience in professional services, financial services, or legal industry environments., • Familiarity with network automation tooling (Ansible, Python/Netmiko, Terraform for network infra)., • Experience with public cloud networking (AWS, Azure) and hybrid connectivity patterns., • Exposure to Panorama for centralized Palo Alto management at scale., • Core Networking, • SD-WAN (Silver Peak / HPE Aruba EdgeConnect) — deployment, policy, and optimization, • DMVPN, IPSec VPN, and secure remote access architectures, • Load balancing (Citrix NetScaler / ADC) — configuration, SSL offload, and health monitoring, • Wireless networking via Cisco Meraki — deployment, RF planning, and troubleshooting, • Network tapping and packet capture solutions for visibility and forensics, • Security & Zero Trust, • Zscaler (ZIA/ZPA) — implementation, policy configuration, and troubleshooting, • ACL development and firewall policy lifecycle management, • Zero-trust network segmentation principles and implementation, • WAF configuration and proxy infrastructure, • Collaboration & Voice, • Cisco Call Manager (CUCM) and Unity Connection — administration and troubleshooting, • Network monitoring and management platforms (SolarWinds, PRTG, or equivalent) A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $135,000—$150,000 USD Why Should You Apply? • Benefits: Outstanding benefits package, including 401k match and generous PTO plan, • Career Growth: Ample opportunities for professional development and advancement

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job DescriptionCompany 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 looking for a Software Engineer to join our growing engineering team. You will contribute to the design and development of scalable, secure, and user-centric applications that power Versant’s next-generation platforms. This role is ideal for someone who thrives in startup-like environments, is eager to learn, and is passionate about using SaaS and low-code/no-code platforms to deliver value quickly. Key Responsibilities: • Collaborate with cross-functional teams to deliver full-stack solutions that solve real business problems., • Implement scalable, fault-tolerant microservices and modern front-end applications., • Use SaaS and low-code/no-code platforms where appropriate to accelerate delivery., • Participate in code reviews, pair programming, and team knowledge-sharing sessions., • Write secure, performant, and maintainable code., • Work closely with product and architecture teams to ensure alignment in technical direction and business priorities.Qualifications, • 3+ years of professional software development experience., • Strong knowledge of backend development in languages such as Java, Node.js, Python, or Go., • Skilled in in modern JavaScript/TypeScript, HTML/CSS, and frameworks like React, Vue, or Angular., • Develop scalable and high performing microservices architecture and RESTful APIs., • Familiarity with cloud platforms (AWS, Azure). Experience with Git and CI/CD pipelines (GitHub Actions, Jenkins or similar)., • Ability to troubleshoot and debug complex issues in distributed environments., • Exposure to GenAI tools, SaaS platforms, and low-code/no-code tools., • Familiarity with serverless technologies and event-driven architecture., • Familiarity with infrastructure-as-code tooling (e.g. Terraform, CloudFormation)., • Working knowledge of monitoring stacks like Datadog, Prometheus, or ELK., • Experience modernizing legacy systems or integrating with enterprise platforms. Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $105,000 - $140,000. We are accepting applications for this position on an ongoing basis. 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. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. 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 DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. Prior Experience, • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge .

Job DescriptionCoreWeave 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 Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. 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, including: • 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 While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only 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 BBR Partners is a premiere, boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. The firm was founded in early 2000 and for over 25 years, we have nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent but world class humans! Job Description: BBR partners is seeking a DevOps Engineer, to play an integral role as a member of its IT department, working closely with Software Development & Data Engineering teams. This person is responsible for designing, implementing, and managing the systems, tools, and automation that support continuous integration, continuous delivery (CI/CD), and scalable infrastructure. We are looking for a highly motivated self-starter with a strong work ethic who enjoys contributing to a small-firm environment. This is a full-time position that requires a minimum of 8 years of experience and the ability to work on premises from our New York City headquarters three days per week. Responsibilities: • Cloud Infrastructure & Automation, • Design, build, and maintain secure, scalable cloud environments (preferably Azure) using Infrastructure as Code (Terraform)., • Build and maintain standardized, hardened machine images using HashiCorp Packer to support immutable infrastructure, security baselines, and rapid recovery, • Implement network segmentation, private endpoints, and secrets management (e.g., Azure Key Vault, AWS Secrets Manager)., • CI/CD Engineering, • Own architecture and standards for CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI/CD, Jenkins/Octopus) with:, • Automated testing and quality gates, • Security scanning (SAST, DAST, dependency scanning), • Artifact management and controlled deployment strategies., • Enable development teams through reusable templates, modules, and golden pipelines., • Own and enforce version control best practices across application code, infrastructure-as-code, and CI/CD pipelines, including branching strategies, peer review, and controlled releases., • Automate change management controls through CI/CD workflows, approvals, and versioned deployments to support audit and regulatory requirements, • Containerization & Orchestration, • Build and optimize containerized workloads (e.g., Docker, Kubernetes) including GitOps and service mesh integrations., • Security, Compliance & Governance, • Embed security-by-design principles into all layers of the platform., • Implement guardrails, policy-as-code, and automated evidence collection aligned with SEC expectations and NIST/ISO frameworks., • Observability & Reliability, • Deploy and maintain observability stacks (metrics, logs, traces) using tools like Datadog and/or Logic Monitor., • Define SLOs, SLIs, and error budgets; lead incident response and postmortems., • Data Platform & Integrations, • Own platform infrastructure for data pipelines (Airflow, dbt), support the enforcement of data quality and lineage, and protection of PII through encryption and masking., • Support secure integrations with custodians, trading systems, CRMs, market data providers, and internal APIs., • Developer Experience & Enablement, • Enable engineering teams to self-service with platform tooling, best practices, and documentation (confluence)., • Hands on experience with cloud platforms (Azure preferred, AWS/GCP acceptable)., • Strong proficiency with Infrastructure as Code, especially Terraform., • Experience building and maintaining CI/CD pipelines, • Strong knowledge of Linux/Windows systems and scripting skills., • Experience with containers and orchestration platforms., • Experience with configuration management tools (Ansible, Puppet, Chef)., • Security mindset: key management, secrets management, compliance., • Knowledge of SDLC and Agile methodologies., • Understanding of networking fundamentals (DNS, load balancing, firewalls)., • Familiarity with site reliability engineering (SRE) practices., • An undergraduate degree in Information Technology or a related field with a strong academic track record is preferred, • Must have strong communication skills (written and verbal) and critical thinking skills, • Must be successful working in a team-based environment, • Must be highly motivated, proactive, ethical, and professional, • Solid organizational skills including attention to detail and multi-tasking skills, • Experience driving DevOps adoption in organizations with established IT operations., • Demonstrated ability to influence stakeholders and drive cultural change., • Competitive base salary and incentive compensation., • Company subsidized medical/Rx, dental and vision insurance for employee, partner, and dependents., • 401K plan, Life insurance, and short & long-term disability coverage., • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings., • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care., • Personalized development and career growth opportunities., • Volunteerism opportunities and matching gift program., • Flexible time off, paid parental leave, and Sabbatical with company tenure., • Hybrid remote work environment, "Work from Anywhere" weeks, and business casual dress. Base salary for this position will be determined during the interview process and will vary based on multiple reasons, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The expected base salary for the role will generally be between $150,000 and $200,000 per year at the commencement of employment, but the final salary offered may be outside this range based on these reasons and individual circumstances. Additionally, base salary is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses, alternative incentive packages and Company-sponsored benefit programs. This position is at-will, and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Job DescriptionPinwheel - Building the future of financial services in partnership with the biggest brands "I love my banking app!" said no one, ever. Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We're building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, Acorns, Visa and more. If you're excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you. If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you. If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you! Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more. Who are we looking for? Pinwheel is looking for a Platform Engineer who thrives at the intersection of backend engineering, infrastructure, and developer enablement. This role owns the systems our engineering team depends on to build, deploy, and scale products; everything from Kubernetes and CI/CD pipelines to observability and infrastructure-as-code (IaC). You'll work closely with product and engineering teams to enable fast, reliable delivery while designing systems that are secure, scalable, and built for the future. What will you do? • Build and maintain backend platform services and features that support internal teams and product development, • Develop internal libraries and tooling using Go and Python, • Design and operate systems related to authentication, public key infrastructure (PKI), and secure data storage and transit, • Provision, monitor, and optimize cloud infrastructure for reliability, scalability, and performance, • Support new product initiatives by deploying and managing microservices in Kubernetes environments, • Design and manage infrastructure-as-code and deployment workflows using Terraform, Helm, and GitOps tools (e.g., Flux, ArgoCD), • Improve CI/CD pipelines and developer workflows using tools like CircleCI and GitHub Actions, • Implement observability solutions (metrics, logging, alerting) to improve system visibility and operational response, • Architect secure, cloud-native solutions across AWS, Azure, and/or GCP, • Partner with engineering teams to deliver production-ready, compliant platform capabilities What qualifications are necessary? • 3–5+ years of backend software engineering experience, • 2+ years of platform, infrastructure, or DevOps experience, • Strong experience with Go and/or Python, • Hands-on experience with cloud infrastructure and cloud-native architectures, • Experience running containerized workloads, especially in Kubernetes, • Familiarity with infrastructure-as-code tools like Terraform and Helm, • Experience with CI/CD systems and modern delivery practices (GitOps, CircleCI, GitHub Actions), • Experience with observability tools such as Datadog, Prometheus, or Grafana, • Strong understanding of building reliable, scalable, high-performance systems, • Ability to quickly learn new technologies and work independently in unfamiliar systems, • A curious, self-directed mindset with strong problem-solving skills Nice to Have • Experience with PKI, encryption, mTLS, or security-focused infrastructure, • Familiarity with GitOps tools like Flux or ArgoCD, • Experience integrating AI tooling (e.g., MCP servers) into production environments, • Exposure to compliance-focused systems (PCI, SOC 2, ISO, etc.) Why join Pinwheel? Best time to join - Our company is small but well-funded, meaning you are joining at a time where you can impact and shape the company. Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey. Build something revolutionary - Help build the products on the bleeding edge of financial services! Belong - Join a community that is passionate and relentless about building fairer financial systems for all. Benefits included: • Great compensation & equity packages, • Full medical, dental, and vision benefits, • Life & short-term disability insurance, • Flexible PTO policy that prioritizes recharge and balance, • Paid parental leave, • 401K for retirement planning, • Mentorship opportunities, • Free Citibike membership

Job DescriptionAbout Clarion At Clarion, we’re rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care. We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $5.4M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems. Why This Role Is Special * Real traction, early-stage impact: Dozens of paying customers, rapidly growing revenue, and the opportunity to own foundational backend systems at a critical inflection point. * Mission-critical problem: Healthcare communication failures affect millions daily—your work directly powers systems patients and providers rely on. * Elite technical context: Work closely with founders who deeply understand both healthcare operations and large-scale AI systems, enabling fast decisions and real ownership. What You’ll Own * Core backend systems: Design, build, and own the services, data models, and business logic powering Clarion’s AI agents and healthcare workflows. * Workflow orchestration: Build infrastructure for multi-step, asynchronous workflows—including agentic AI workflows with conditional logic, retries, and graceful failure handling. * Healthcare integrations: Own high-stakes integrations with EHRs and legacy healthcare platforms via APIs and RPA. * Platform foundations: Create internal abstractions and tooling that allow the team to deploy and customize AI assistants for new customers quickly and reliably. * Security and compliance: Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture required for enterprise healthcare. Interesting Technical Challenges * Generative AI at Scale: Design and operate production systems using LLMs with real-time monitoring, safety controls, and enterprise reliability. * Agentic workflows: Architect backend systems that coordinate AI agents across complex healthcare workflows with strong guarantees. * Enterprise reliability: Build systems supporting thousands of concurrent patient interactions with high uptime and fast incident detection. * Fragmented healthcare systems: Design resilient abstractions across modern APIs and legacy EHRs while maintaining security and compliance. What We’re Looking For * 5+ years of experience designing, building, and scaling backend systems in high-reliability production environments. * Strong backend expertise across APIs, relational databases, async workflows, and distributed systems. * High ownership and agency—you thrive in ambiguity and take responsibility for system outcomes. * Ability to communicate clearly, collaborate cross-functionally, and surface risks early. * Bonus: experience with security, auth, or regulated environments (HIPAA familiarity is a plus). You’ll be a great fit if you enjoy owning critical backend systems end-to-end, solving complex problems under real-world constraints, and building infrastructure that directly impacts patient care. Interview Process We move quickly and communicate clearly at every stage: * Intro Chat (30 min, Virtual): Background, role context, and mutual fit. * Technical Deep Dive (1 hr, Virtual): Backend systems and architecture with the CTO and a senior engineer. * Onsite Team Day (Half Day, NYC): Collaborate on real problems, present a past project, meet the team, and assess mutual fit. Decisions are typically made within 24 hours of each stage. Compensation Range: $150K - $225K

Job DescriptionAbout zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. About the Job We’re looking for a Forward-Deployed Engineer to join our founding team and bring our AI-native data infrastructure to life in real-world environments. This is a hybrid role blending infrastructure, product, and delivery—you’ll work across systems, tools, and teams to bring new deployments from concept to scale. Think of it as a "jack-of-all-systems" role: one foot in Kubernetes and Ray clusters, the other in semantic pipelines and user-facing use cases. You’ll be a first responder, architect, and operator—deploying zaimler’s semantic infrastructure into dynamic enterprise settings, collaborating closely with ML and infra engineers, and making sure customers get value from day one. This role prefers candidates in or aligned to the Eastern Time Zone (EST) & will require travel onsite to customer locations. What You Will Be Doing • Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud), • Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines., • Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services., • Bridge ML and infra—help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines, • Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on, • Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable., • Interface directly with early customers to understand their environment, workflows, and edge cases.Prior Experience, • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome), • Deep familiarity with Kubernetes, Docker, Terraform, and Helm, • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.), • Fluency in at least one scripting language (Python, Bash, Go preferred), • Strong debugging skills across the stack—from network hiccups to memory leaks, • Experience deploying in cloud-native environments (AWS/GCP/Azure), • Comfortable being customer-facing and managing ambiguity in real-time, • Strong sense of ownership and bias toward action in early-stage environmentsNice to Haves, • Experience deploying or integrating LLMs or vector databases, • Background in ML Ops or building/operating data infrastructure at scale, • Familiarity with GPU optimization, multi-tenancy, or air-gapped environments, • Prior startup or zero-to-one deployment experience, • Familiar with Ray Serve, VLLM, or similar frameworks

Job DescriptionAbout Project Healthy Minds Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world’s first digital marketplace for finding mental health services that are right for you. To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions. We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us. Learn more at projecthealthyminds.com and @projecthealthyminds on social. About The Role WHAT WE'RE LOOKING FOR The Lead Software Engineer is a core member of the product development team at Project Healthy Minds, responsible for designing and building the technical foundations of a data-intensive mental health services marketplace. This role exists to ensure we can reliably ingest, normalize, and power complex service data—enabling product experiences that help millions of people find mental health support that actually works. This is a full-time, in-office position. HOW YOU'LL CONTRIBUTE • Design and build LLM-driven workflows to acquire, structure, and maintain production-grade data from disparate sources• Own and evolve the core technical architecture of the PHM platform, with a focus on data modeling, normalization, and performance• Partner with external data providers to ingest data via APIs and feeds, while designing resilient systems to handle incomplete or inconsistent inputs• Define schemas, normalization strategies, and data contracts that support reliable downstream product experiences• Implement and optimize sorting, ranking, and retrieval logic to support discovery, comparison, and decision-making use cases• Ship production code regularly, working hands-on across backend and data layers• Apply modern AI tools and techniques to improve data enrichment, tagging, and internal workflows• Partner closely with Product and Design to translate ambiguous product needs into scalable technical solutions• Establish engineering standards through code reviews, documentation, and example• Partner with Legal and other stakeholders on compliance-related technical decisions• Support hiring and onboarding of additional senior engineers over time REQUIREMENTS • 10+ years of software engineering experience with deep expertise in backend systems and data infrastructure• Strong data modeling skills: experience designing schemas, normalization strategies, and data contracts for production systems• Proficiency in Python or TypeScript for backend development• Hands-on experience with data pipelines—ingesting, transforming, and normalizing data from APIs, feeds, and unstructured sources• Familiarity with LLMs/AI tooling for data enrichment, classification, or extraction workflows (practical application, not just experimentation)• Strong understanding of database technologies (relational and document stores) and query optimization• Experience with cloud infrastructure (GCP preferred) and CI/CD practices• Comfort operating in ambiguity—translating messy product requirements into clean technical solutions• Strong communication skills; ability to explain technical tradeoffs to non-technical stakeholders• Passion for the mental health space NICE TO HAVE • Experience with ranking, retrieval, or recommendation systems• Background in marketplaces, healthcare data, or compliance-sensitive domains• Familiarity with our stack (NextJS, GCP) is helpful but not required WHY THIS IS A UNIQUE OPPORTUNITY • A world-class Board, Clinical Advisory Committee, supporters, and collaborators. We’ve assembled a truly best-in-class network across business, academia, and media -- working to help us reach our goals, and we’re still growing.• A big, bold vision with backing. To achieve our target scale of impact, we’re funded by a combination of private philanthropy and earned revenue. We are poised to continue our multi-year track record of strong year-over-year growth.• Startup mindset, social mission ethos. You’ll work with a team with experience at venture-backed startups, market-leading enterprise organizations, and everything in between. What brings us to this particular nonprofit is the recognition of a rare opportunity to drive massive positive impact in society. What We Offer • Competitive compensation• Competitive medical, dental, and vision benefits• Paid holidays and generous PTO • Life insurance• Short-term and long-term disability• Spring Health mental healthcare• Commuter benefits• Perks at Work• Experience joining a dynamic start-up environment that is re-writing the playbook for social change in the mental health tech space• Benefits of joining a close-knit, highly-motivated team with mentorship opportunities from a world-class network of founding leaders, Advisors, and Board members• Learning & Development opportunities, including free MasterClass subscriptions• Opportunity to attend inspiring experiences and events with thought leaders, business executives, and iconic speakers across a range of industries• And more (just ask!) The annual salary for this role is $225,000 - $250,000, depending on experience, skills, and other relevant considerations. EEO Guidelines: Project Healthy Minds is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Project Healthy Minds will provide reasonable accommodations as required by applicable federal, state, and/or local laws, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. COVID Guidelines: The health and safety of our Project Healthy Minds community is the highest priority. As such, Project Healthy Minds is requiring all newly hired staff members to be fully vaccinated and boosted with an FDA authorized and/or approved COVID-19 vaccine as a condition of employment. Requests for reasonable accommodations for medical, religious, or other reasons will be considered in accordance with applicable law. Due to the high volume of applications received, only those selected for an interview will be contacted. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 We are partnering with a profitable, pe-backed company building systematic trading infrastructure for real-world markets. Live events generate tens of billions of dollars annually in secondary ticket transactions, yet the market remains fragmented, inefficient, and largely driven by manual decision-making. Pricing is inconsistent, liquidity is uneven, and execution lacks the rigor seen in mature financial markets. Our client is changing that. Backed by an established brokerage with multiple years of track record and eight-figure annual revenue, they are building a technology-driven trading platform to bring discipline, liquidity, and intelligent pricing to this market. This is not a typical marketplace. This is a trading system... applied to real-world assets. The Opportunity As a Founding Engineer, you will architect and build the core systems that power valuation, capital deployment, and execution across secondary markets. You will own the platform from first principles, including architecture, core services, and production performance, while working directly with the founder to translate strategy into real systems that deploy capital daily. This role starts at the Staff / Principal IC level with a clear path into engineering leadership as the company scales. What You'll Own • Design and build the core trading infrastructure powering pricing and execution, • Develop systems for valuation, order placement, and post-trade tracking, • Build and maintain data pipelines that ingest, normalize, and react to real-time market data, • Implement pricing logic informed by liquidity, demand signals, and historical performance, • Create monitoring systems, dashboards, and internal tooling for system health and performance, • Establish safeguards for data integrity, execution failures, and edge cases, • Partner directly with the founder to prioritize initiatives and run experiments, • Strong backend and infrastructure expertise, • APIs and external integrations, • Relational databases (PostgreSQL or similar), • Cloud infrastructure (AWS or GCP), • Proficiency in Python or Go preferred, • Deep experience building data pipelines that operate reliably under messy, real-world conditions, • Strong system design skills with a focus on performance, reliability, and scalability, • Entrepreneurial mindset with high ownership and bias toward action, • Direct ownership of a system that deploys real capital daily, • Opportunity to build trading infrastructure in an untapped asset class, • Work alongside a founder with an existing profitable foundation, • Influence both technical architecture and business strategy from day one, • Clear path into engineering leadership as the company grows

Job Description Job Description: GCP Platform Engineer Location: Jersey City, Tampa, or Palo Alto (5 days onsite) Position Overview We are seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.