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What We Do at Anno.ai Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements. Our ranges are designed to replicate complex, contested, and dynamic environments—giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance. Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders. At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability. Position Overview As a Senior Full-Stack Engineer at Anno.ai, you will design, build, deploy, and maintain production systems used for high-throughput data collection, fusion, and analytics across both cloud platforms and deployed edge environments. You will collaborate closely with infrastructure, data, product, platform, and field engineering teams, serving as a key technical contributor driving system performance, reliability, and usability. This role is part of a fast-moving technology development group. We seek individuals who thrive in ambiguity, take ownership, and deliver solutions with minimal oversight—while also contributing to engineering rigor and cross-team architecture. The ideal candidate for this role would reside in Minnesota. Candidates need to be able to obtain and maintain U.S. Governement security clearance (U.S. citizenship required). The company would pay for clearance costs. They also need to be able to travel up to 20% of the time. What You’ll Do • Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments, • Develop distributed services that handle real-time and recorded sensor and media data at scale, • Shape system architectures to support mission-critical performance, reliability, and operational resilience, • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval, • Integrate internal services and external partner systems to support end-to-end workflows, • Create intuitive operator-focused user interfaces and mission-support tooling, • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems, • Deploy and validate software on edge computing devices under lab environments and during field exercises, • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities Required Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering), • 5+ years of software development experience across UI, backend services, and data/storage layers, • 3+ years of Python development experience, • 3+ years of Typescript and React experience for frontend application development, • PostgreSQL or similar relational databases (schema design and optimization), • Designing and integrating secure APIs and web services, • Deploying and operating applications in AWS, familiar with ECS, EC2, Lambda, and S3, • Containerization and orchestration using Docker and Kubernetes, • Working effectively in both Linux and Windows environments, • Troubleshooting distributed systems and network-level interactions (e.g., TCP/IP, routing, VLANs, bandwidth constraints), • CI/CD pipelines and automated deployment workflows, • Communicating complex technical concepts to technical and non-technical stakeholders, • Operating with high ownership and autonomy across multiple concurrent projects, • Using modern collaborative development workflows (e.g., Git-based), • Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required), • Ability to travel up to 20% Preferred Qualifications • Experience designing and deploying systems that handle real-time or high-volume sensor, media, or telemetry data, • Strong architectural design skills involving distributed systems, data synchronization, and networked compute environments, • Familiarity with edge computing, constrained compute deployments, or field-operated systems, • Experience with network video systems, streaming pipelines, or sensor fusion environments, • Ability to perform root-cause analysis and develop corrective design strategies, • Demonstrated ability to collaborate across multidisciplinary teams (software, hardware, field/ops) and drive outcomes to completion, • Familiarity with SBOM supply chain integrity, • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms, • Proven ability to communicate clearly under operational constraints and evolving mission requirements Total Rewards Package for Our US Employees • Competitive salary, • Equity, • Comprehensive benefits package, • 401k with a 5% company match, • Paid holidays and generous paid time off offering, • Paid leave programs, • Patent bonus program, • Employee referral bonus program, • Learning and development program, • Opportunity to work with a team of highly skilled, creative and motivated team members Quick Note on Role Fit If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at ___. Feel free to send a cover letter so we can get to know you better!

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: ___ In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents. As a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle. If you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we’d love to talk to you. • Lead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases, • Strong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Experience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Strong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

About Us: Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Engineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Role We are seeking an experienced Senior Backend Software Engineer to join the Core E-Commerce Platform team. This team is responsible for the technology and systems that power the Payment, Fraud, and Account Management domains of the Gametime marketplace. This is a senior individual contributor (IC3) position for engineers who demonstrate strong technical ownership within their team, contribute to key projects, and support engineering excellence through thoughtful implementation and collaboration. You will collaborate closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform. Key Responsibilities: • Design and implement high-performance Golang microservices for e-commerce checkout, account management, and fraud mitigation., • Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability., • Build, test, monitor, and maintain critical integrations and infrastructure., • Develop and support robust internal and external APIs with high throughput and low latency requirements., • Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals., • Participate in code reviews, share knowledge with teammates, and uphold engineering best practices., • Drive projects from implementation to production deployment with a focus on quality and operational readiness., • Contribute to ongoing improvements in system performance, observability, and CI/CD workflows., • Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation., • Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement. Key Competencies: • Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.)., • System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability., • AI Fluency: Familiarity with using AI tools (e.g.,Cursor, Claude, ChatGPT) or contributing to AI-powered systems is a plus., • Working Familiarity with: OIDC Authentication (Google, Apple SSO), E-Commerce Fraud Prevention, Payment Service Provider Integrations (Stripe), • API Development: Capable of designing and maintaining well-structured internal and external APIs., • Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices., • Event-Driven Systems: Experience working with messaging systems like Kafka, RabbitMQ, or similar., • Databases: Solid experience with relational databases (e.g. PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB, DynamoDB)., • Team Collaboration: Works effectively with cross-functional partners to deliver reliable solutions and shares knowledge through code reviews and discussion. Minimum Qualifications • Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: 5+ years in software engineering. At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $164,467 - $193,491 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Our software engineers at Epistemix show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. As a Senior Back-End Software Engineer, you will be at the forefront of our product's evolution. Your key responsibilities will include: * Design, develop, and maintain clean, testable, and highly maintainable code, ensuring top-tier performance and reliability. * From initial requirements gathering to deployment and ongoing maintenance, take full ownership of the software development lifecycle, ensuring seamless delivery and operation. * Design, build, test and deploy a highly scalable and resilient system architecture that supports current needs and future growth. * Define the technical direction for engineering solutions, actively collaborating with internal teams to ensure technological advancements are perfectly aligned with the company's strategic goals. * Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience * 7+ years of back-end software development experience,with a significant portion in a senior role. * Expert proficiency in Python, particularly with FastAPI. * Strong experience with TypeScript for backend development (Node.js/NestJS experience is a plus). * Deep hands-on experience with AWS cloud services, including but not limited to EC2, EKS, Lambda, S3, RDS, DynamoDB, SQS, SNS, CloudWatch, and IAM. * Proven experience designing, building, and operating microservices architectures. * Extensive experience with Kubernetes for container orchestration. * Expertise in Infrastructure as Code (IaC) using Terraform. * Hands-on experience with Atlantis for Terraform pull request automation. * Demonstrated experience or strong understanding of data science orchestration platforms, such as ___. * Solid understanding of relational and NoSQL databases, including advanced querying, optimization, and data modeling. * Experience with API design principles (RESTful, GraphQL) and security best practices (OAuth2, JWT). * Strong understanding of distributed systems concepts, asynchronous processing, and message queues. * Experience with CI/CD pipelines and tools (e.g., GitHub Actions, Jenkins). * Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly. * Ability to work effectively in a fast-paced, agile environment. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: * Equity & Incentives – Participation in our stock option program. * Flexible Time Off – Autonomy to manage your schedule and work-life balance. * Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). * Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

Meet Slingshot What You’ll Be Launching As a Backend Software Engineer supporting Slingshot’s development, you will design and build capabilities that will enable our products to help solve satellite owner-operator problems. You will be a multiplier for the entire engineering team by not only delivering high-quality code on time but by helping your teammates do so as well, and by mentoring and providing support whenever needed. You will find, evaluate, and leverage new technologies; solve complex problems; and deliver value to end users. This is a one-year fixed-term position with the possibility of extension or conversion to full-time employment. We're building a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh ideas, and your drive—we'll bring the rocket fuel. Your Mission (Should you choose to accept it) • Executes all position responsibilities in alignment with Slingshot’s core values, mission, and purpose, • Work across the technology team interacting with product managers, designers, and other engineers in implementing right-sized solutions, • Meet product requirements in a timely manner while not compromising the operational stability of the overall product, • Participate in Agile software development and deployment processes, • Provide ongoing support for the services and applications that are critical to our business needs, • Communicate methods, findings, and hypotheses with stakeholders, • Work on both the frontend and backend to solve problems and deliver value to both internal and external users, • Build data platforms/pipelines, microservices, interactions with AI agents and distributed systems, • Build and document APIs (REST, GraphQL), • Develop advanced data interfaces and interactive user interfaces, • Turn architecture ideas into technical specifications that can be executed by anyone on the team Pre-flight Checklist • 5+ years of experience in software development, • 4-year degree in computer science, engineering, or a related field, • Active security clearance required; Top Secret preferred., • Experience using our stack or similar technologies (Java/Kotlin, GraphQL/GraphQL subscriptions, REST, Docker, Kubernetes, React, Python), • Adept in working with cloud-based deployments (AWS) PaaS and IaaS offerings including some experience with Infrastructure-As-Code solutions, • Capable working with containers and container orchestration (Docker, Kubernetes, Helm, EKS), • Deep working knowledge of version control (Git) and CI/CD tools (GitHub Actions), • Experience with event-driven architectures including Kafka and CloudEvents, data platforms, microservices, and distributed systems, • Knowledgeable in database design, performance, and troubleshooting (PostgreSQL, MongoDB), • Skilled in collaborating with data scientists in incorporating AI/ML/LLM into existing software products, • Ability to travel up to 10% of the time Bonus Cargo • Possess security compliance accreditation such as NIST 800-53, DoD ILs, FedRAMP in higher-classification cloud or air-gapped environments and have experience supporting organizations to obtain accreditation, • Experience with software technology startups and product organizations, • Knowledge of frontend technologies, specifically React, Three.js, • Demonstrated experience working in, or close collaboration with DevOps team members and infrastructure technology., • Familiarity with QA practice and collaboration., • Track record of supporting predictable software delivery with Product Team partners, • Prior Space and Aerospace Industry experience is a bonus but not required, • Proficient in integrating complex external systems with API’s, • Experience with simulation technologies like HLA/DIS We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. Location: Remote, US Salary: $150,000-$250,000 Classification: One-year fixed-term position. US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Vercel's Frontend Cloud provides the developer experience and infrastructure to build, scale, and secure a faster, more personalized web. Customers like Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier use Vercel to build dynamic user experiences on the web. At Vercel, our mission is to enable the world to ship the best products and that goes hand in hand with creating an environment where you can do the best work of your life. The Vercel Sales Engineering Team enables the power of our advanced platform to be realized by frontend teams working on innovative digital projects around the globe. We use our deep experiences in web development and Internet infrastructure to provide pre-sales guidance for enterprises who are moving to the most developer-friendly platform in the world. Sales Engineers play a key role in our Sales process by partnering with Account Executives to plan, prepare and complete strategic deals in complex sales cycles, with a focus on value-based selling. You'll find a collaborative environment at Vercel, where everyone brings different strengths from a variety of backgrounds, and jumps in to help one another improve and accomplish our goals. Vercel is seeking a Sales Engineer, EMEA who combines their technical knowledge with persuasive sales skills! We require a background in JavaScript, along with a broad understanding of modern web development approaches and best practices. Reporting to the Director of Sales Engineering you will be responsible for answering technical questions, advising on standard methodologies, identifying and uncovering current needs, exploring and validating potential solutions, and supporting the project's benefits and viability for enterprise prospects. • Provide technical support to the sales team, prospects, and customers throughout the entire sales cycle, • Be the expert in Vercel's platform, solutions, and services and how they can be applied to solve business needs, • Develop and present demonstrations of the Vercel solutions, • Manage and run PoCs, guiding measures of success and towards meaningful outcomes, • Respond to Security Documents, coordinating with other internal specialist teams, • Respond to RFPs and other required formal written responses for sales opportunities, • Be an interface to Product and Engineering teams, representing Voice of Customer, • You focus on learning, guiding, collaboration, mentorship, and grow, • You have German Language skills, • You have a passion for helping people develop an accurate mental model of how our technology works and have the ability to quickly build a rapport and become a trusted advisor, • You can transform jargon into a cogent narrative relating to the specific needs of a wide range of people, from frontend developers to IT managers and enterprise C-levels, • You are able to weave together discussions about business benefits, strategic value, and technical efficacy with the ability to envision, create and develop custom demos, • You understand how to lead a project and prioritize between competing demands, • You possess strong technical skills, ideally from software development experience or previous pre-sales experience, • You are an expert in internet technologies: TCP, DNS, HTTP(S), TLS, • You are aware of the broader technical ecosystems, including Headless CMS, Media, payments, eCommerce, Analytics, etc., • You're experienced with load and performance testing for enterprise web applications, • You understand best practices in enterprise network architecture and security, • You have 3+ years of experience in a customer-facing sales or consulting role, • Deployed Next.js applications to a production environment, • Worked on teams self-hosting Next.js on their Kubernetes (k8s) cluster, • Earned Cloud Solutions Architect Certifications, • Engaged with platform security & privacy regulatory standards like PCI DSS, HIPAA, and SOC-2, • Attained an Undergraduate degree in Computer Science, Engineering or related fields, • Great compensation package and stock options., • Inclusive Healthcare Package., • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills., • Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays., • Remote Friendly - Work with teammates from different time zones across the globe., • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Mobomo is seeking a highly motivated Sr. Engineer who can operate independently, require minimal oversight, and immediately contribute to backend development and infrastructure efforts. This role is ideal for someone who can execute on unknown requirements while proactively identifying and solving emerging technical challenges. It requires an individual who can operate in a context where nearly all requirements may be undefined, aside from the expected end outcome. With minimal supervision, this person must rely on their abilities to determine, design, and develop the solution they believe is best. Location: Remote within the DMV area (Washington DC, Maryland, Virginia) with in-person meetings throughout the year at our DC office Clearance: Must be able to obtain a US government clearance What We're Looking For Self-starter who can jump in quickly and deliver with little direction Comfortable working independently in a small, fast-moving team Able to identify gaps, anticipate needs, and take ownership of solutions Strong problem solver who can adapt as requirements evolve Responsibilities Design, develop, and test new backend features Maintain and improve infrastructure for a cloud-based Kubernetes application Enhance and manage CI/CD pipelines Support integration of scientific software and algorithms into production systems Required Experience 5+ years of backend software development experience Strong experience with Kubernetes deployment and administration Linux systems administration experience Experience working with Docker containers Preferred Experience PostgreSQL, SQL, PostGIS Golang and Python programming Education Bachelor's degree in a STEM-related field Additional Requirements Must be located within the DMV area (DC, Maryland, Virginia) Must be able to obtain a US government clearance Available for periodic in-person meetings at a Washington, DC office About Mobomo: Mobomo is a full-service DevOps agency dedicated to creating elegant solutions to solve complex problems. Mobomo benefits include health care, paid time off, retirement savings and professional development. Mobomo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, citizenship status, veteran status, disability status or any other basis as protected by federal state, or local law.

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. As a growth-focused Fullstack Engineer on our team, you will play a central role in driving user acquisition, conversion, and retention through highly performant and visually stunning web experiences. You will collaborate with cross-functional teams—from marketing to sales to product design—to build dynamic pages, run A/B tests, and optimize conversion funnels. In this role, you’ll design and develop scalable features that enhance the user journey, integrate feedback loops, monitor key metrics, and ensure the reliability of our acquisition funnel. By staying updated on industry trends and focusing on delightful UX, you’ll continuously refine our web properties—ultimately delivering an exceptional experience from first touch through ongoing engagement. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. • Lead complex frontend projects that establish Vercel as a gold standard for brand and product marketing., • Collaborate with growth and marketing teams to A/B test landing pages for lead generation across multiple channels., • Design and implement scalable applications, web services, and APIs with a focus on user experience and performance., • Contribute to our design system and uphold industry-leading UX standards (e.g., interactions, micro-animations, layout consistency)., • Continuously improve engineering processes, tools, and systems to scale the codebase and team productivity., • Troubleshoot and fix bugs, delivering quick, high-quality resolutions., • Write technical documents and maintain internal tools to empower other teams., • Review and provide feedback on contributions from other engineers., • Identify bottlenecks and optimize for conversion, speed, and reliability across the funnel., • Critically think about foundational areas of the Vercel application to ensure ease of maintenance and future extensibility., • 5+ years of professional frontend engineering experience (React, JavaScript, Tailwind CSS, or similar)., • Strong proficiency in Next.js and familiarity with modern frontend frameworks., • Full stack experience (comfortable designing or consuming APIs and working with various services)., • Deep understanding of SEO principles and best practices—especially around performance, accessibility, and search optimization., • Proven knowledge of A/B testing concepts and conversion rate optimization., • Stellar cross-functional communication skills—you can work effectively with marketing, design, and product to reach shared goals., • Eye for good user experiences and a knack for “getting the visuals right.”, • Desire to work in a fast-paced environment, continuously grow, and master your craft., • Have familiarity with the Vercel platform., • Comfortable using Tailwind CSS., • Background in web design or interest in design systems., • Interest in developer tooling domain., • Competitive compensation package, including equity., • Inclusive Healthcare Package., • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills., • Flexible Time Off., • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000 - $294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Knock is on a mission to help products communicate with their users in a more thoughtful way. Building product notifications in-house takes months, often leading to poor user experiences. We believe that—when done right—product notifications help users find value in the products they use every day. That’s why we built Knock. We're a remote-first (with a NYC base) Series A startup of 25 employees that believe in the power of great software. We're APIs all the way down at Knock—Stripe for payments, Algolia for search, WorkOS for SSO. We're excited to add Knock to that list and to push forward the API-first movement. If you are, too, come join us and let's build something great together. We’re backed by top investors and operators including Craft Ventures, Afore Capital, Preface Ventures, Worklife Capital, Guillermo Rauch (CEO/Founder @ Vercel), Scott Belsky (CPO @ Adobe), Adam Gross (CEO @ Heroku), and John Kodumal (CTO @ LaunchDarkly), to name a few. We’re looking for a software engineer to join our small but growing platform team. Platform engineering at Knock is the foundation for everything else we do. Because Knock is built by and for engineers, there’s a blurry line between “platform” and “product.” The product is the platform. The platform team is a specialized engineering team at Knock that designs, builds, and maintains the infrastructure and services needed in order to run our product. They are responsible for the availability and reliability of our service, from API to notification engine execution. They support the product engineering team in their role to build and ship customer-facing features. Knock’s platform engineers orient around measurable goals set by our CTO, and work with a high degree of autonomy to achieve greater scale, resilience, and performance for our customers & partners. This is a high-agency role. As a team member, you’ll craft and own initiatives to help us hit our goals. The team collaborates heavily, but each individual has decision-making authority over their initiatives. We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences, and believe firmly that the best teams are diverse. We particularly encourage people from underrepresented communities to apply. Last thing: you can be a great fit even if you don't perfectly match the requirements below. We know there's a lot we don't know and haven't thought of yet, and we're looking for teammates who can tell us what those things are. If that's you, don't hesitate to apply and tell us about yourself! As a platform engineer you’ll contribute across a range of scaling, product and DX initiatives. By way of example, here are some platform team highlights from the last year: * Facilitated a 8x YoY increase in monthly messages sent * Significantly improved latency and margins of our observability product features by adopting ClickHouse for event data * * Instrumented our services with distributed tracing Over the next year you may find yourself working on: * Scaling our service for the next several growth multiples (billions of txns/month) * Large-scale dynamic user segmentation * Multi-region support * Canary deploys * We’re looking for a senior engineer (5+ years of experience) * While experience with our stack is not required, you should be very comfortable with multiple levels of the modern backend stack. For example, you might have experience with GCP or AWS, a modern language, container orchestration, and a tool such as Chef or Ansible. We work primarily with Elixir, Terraform, Kubernetes, and AWS. * We’d love to see expertise in an area that complements our team’s skillset, be it databases, event-driven architectures, security, dev tooling, etc. * The ideal candidate will have experience building and operating large-scale production systems at a high-growth startup. * Strong written and verbal communication skills are a must. The team is internationally distributed and relies heavily on asynchronous communication. Our backend services are primarily written in Elixir (which runs on the Erlang VM). We build our front end using Next.js in TypeScript, powered by GraphQL. Our code runs in AWS on EKS using a mixture of Postgres on Aurora, Redis, MongoDB, and ClickHouse for data storage. All our infrastructure is written in Terraform and continuously deployed via Terraform Cloud. All Knock engineers have access to Claude, Cursor & Devin licenses and budget for LLM API spend (e.g. Claude Code). We’re finding that AI tooling increases our leverage as a small team, but we’re also clear-eyed about AI’s current limitations. You don’t need to be all-in on AI to join this team, but you should be curious and willing to learn with us.

At ___, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime. Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production. At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native. We’re a small, distributed team of repeat founders and builders, with backgrounds from ___, ___, ___, and ___. Joining Keycard now means helping define not just our technology, but also the culture and company we’re building together—during a once-in-a-generation platform shift. We're hiring an engineer to join the team that builds and owns the Keycard Agent SDK — the libraries that bring trust, governance, and telemetry to AI agents in production. Keycard is a control plane for agents: policy enforcement, identity propagation, audit logging, and runtime governance. The SDK is how developers use it. It needs to work across languages (Go, Python, TypeScript, Rust), agent frameworks, and deployment patterns (cloud, edge, hybrid). You'll build the SDK libraries, maintain compatibility with upstream frameworks, contribute to open protocol work (MCP, A2A), and advocate for what agent developers actually need. You'll work directly with founders, product, and the systems engineers building the underlying services. * You follow the agent ecosystem closely — you build with these tools and have opinions about what works, what doesn't, and when to use which framework. * Strong systems engineering instincts. You write tests, think about backwards compatibility, version correctly, and care about API surface area. * You've built libraries or SDKs that other developers depend on. You understand the difference between building a product and building a tool others build products with. * You work across multiple languages without treating any of them as second-class. * Experience with plugin systems, provider architectures, or marketplace/ecosystem engineering (Terraform providers, VS Code extensions, Stripe integrations, etc.) * Contributions to open source agent frameworks or protocols * Background in identity/auth protocols (OIDC, OAuth, mTLS) at the library level * Experience with code generation tools (OpenAPI, protobuf, smithy) for multi-language SDK maintenance * Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed. * Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage. * Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission. * Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge. * Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows. * Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best. Keycard is building the fundamental unlock for the next generation of software: enabling truly secure and trusted agentic applications. Under the hood, we’re building a new identity and access control stack to take us from a world of static, user-focused, long-lived roles and credentialing to one of mixed machine & human interaction that is dynamic, contextually-scoped, and short-lived. By joining as an early employee, you’ll have the opportunity to help curate a culture of iterative craftsmanship, disciplined design, empowerment to own meaningful problems, and consistent high-quality delivery with real impact. You’ll collaborate with the founders and investors who have championed identity, security, and developer tools from seed to scale with companies like Snyk, Auth0, and Heroku. If you’re energized by tackling complex distributed systems and want to advance both developer productivity and security posture, with a hunger to learn, have an impact, and move quickly with determination we’d love to explore how you can help us shape the future of software.

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

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Datacenter and Cloud Engineer Cooley is seeking a Senior Technology Datacenter and Cloud Engineer to join the DevOps team. Position summary: The Senior Data Center and Cloud Engineer ("DCE") is responsible for the firm's Datacenters and local office server rooms and is a technical expert who executes effectively on server infrastructure projects. This position will have a thorough understanding of firm technologies and systems and will be able to understand both the business and technical requirements for new products that will be engineered and implemented by the group. Position responsibilities: • Analyze system performance, modify parameters to improve throughput and effectively utilize system resources. Monitor resource usage, making required adjustments, • Participate in on-call production support activities, • Work closely with the Architecture and Engineering group as well as the Network Engineering group to provision complex infrastructure designs, for example, the design, implementation and support of VMware server infrastructure, • Monitor, maintain and ensure the regular execution of backup routines by responding to system alerts and maintaining data replication between datacenters and DR locations, • Participate in the planning, testing and execution of DR/BC procedures including failover and failback between datacenters and across the Firm's network, • Proactively create and implement procedures to prevent and reduce the severity of outages. Implement automation wherever possible, • Responsible for implementation of required hardware and/or software for all tier and affinity infrastructure, • Responsible for all aspects of the datacenternetwork including racking, cabling and power related to the infrastructure including those involving services from providers such as co-location management and carrier services, • Maintain the integrity of the servers (physical and virtual), storage systems, network and security devices and overall network infrastructure for the business unit via actively monitoring, troubleshooting, and participating in regular monthly systems patching and upgrade activities, • Responsible for identifying problem areas in a proactive way and developing solutions to meet the challenges in theDatacenter environment, • Responsible for troubleshooting and issuemanagementthroughout the datacenter and cloud systems, • Analyze business needs and the external environment to develop, scope, and enable implementation of enterprise infrastructure, • Communicate ideas through presentations, reports, and documentation, • Work with stakeholders, management, and subject matter experts to develop and implement technology strategies, • Collaborate with technology leadership in developing and maintaining a roadmap for assigned areas, • Coordinate with and participate in activities with vendors, as required, • Provide clear and grammatically correct documentation, emails, procedures, and status (both verbal and written), • Comply with all department policies, standards and procedures, • Participate in change control and change managementprocesses, • Respond to administrative requests and responsibilities in a timely manner, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years' direct applicable experience (e.g., system administration with advanced systems engineering), • Enterprise architecture expertise for both collocated and cloud datacenters, • Experience with Hyperscalers, specifically Azure and AWS, • Bachelor's or master's degree in computer science or related discipline, • Current certifications in AWS or Azure or VMware, • Experience working in a law firm or professional services environment, • NetApp storage and enterprise storage protocols to include CIFS, NFS, iSCSI, and FC, • Experience with backup software Cohesity or Veeam and AWS Backup, • Experience with:, • Enterprise server technology, specifically Cisco UCS, • Scripting with PowerShell and/or Python, • Enterprise backup technologies, • Enterprise DR Methodologies and technologies, • DevOps technologies and methods Competencies: • Professional demeanor at all times, including during project engagement, • Excellent communication (verbal and written) skills, • Strong project management skills, and the ability to translate complex technical concepts into simple language, • Strong team player who can successfully interact with all levels of business professionals and effectively work with diverse personalities, • Strong analytical and project management skills. Capable of interpreting and applying complex technical information, • Ability to work independently and to make sound judgments regarding the best course of action to resolve problems; ability to determine when further expertise is necessary and contact the proper individuals, as required, • Ability to work effectively under pressure, set priorities, handle a number of matters concurrently and in a timely manner, all within a fast-paced environment, • High level of organizational skills required to adequately manage projects, monitor numerous live systems simultaneously, ascertain trends which may indicate problems and keep accurate up-to-date records Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $130,000 - $195,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

The Cloud Systems Engineer is an integral part of the Chobani IT Infrastructure team, supporting both cloud and on-premise environments for the business. The role emphasizes expertise in IaaS platforms and Microsoft 365. This position will focus on ensuring system performance, security, and reliability, while collaborating with cross-functional teams to align systems with business requirements. • Design, implement, and manage scalable cloud infrastructure in Microsoft Azure, including Virtual Machines, App Services, and Azure Kubernetes Service (AKS)., • Develop and manage API integrations, enabling seamless communication between cloud service an applications., • Administer and optimize Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive, Teams, and the Power Platform., • Managing identities: Azure Entra ID user/group provisioning, hybrid identity setups with Azure AD Connect, and single sign-on (SSO)., • Ensure robust security and compliance in Azure through proper configuration of Azure AD, Key Vault, NSGs, and Azure Security Center., • Configure and maintain cloud-based disaster recovery and backup solutions, such as Azure Backup and Site Recovery., • Monitor, troubleshoot, and optimize cloud performance using tools like Azure Monitor, Log Analytics, and Application Insights., • Manage and maintain VMware environments, including ESXi hosts, vCenter, and virtualized workloads., • Administer and support Windows Server environments, including Active Directory, DNS, DHCP, and file/print services., • Oversee backup and recovery operations for on-premises infrastructure using tools such as Veeam, Commvault, or similar., • Monitor and manage storage systems, including SAN, NAS, and direct-attached storage., • Perform routine server maintenance, patching, and hardware troubleshooting., • Configure and monitor email security protocols (SPF, DKIM, DMARC) and email gateway solutions to protect against phishing and spam., • Collaborate with security teams to maintain a Zero Trust Architecture across all systems., • Automate repetitive tasks and deployments using PowerShell, Python or other scripting languages., • Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for cloud deployments., • Collaborate with cross-functional teams to ensure systems meet business requirements., • Provide Tier 3 support for escalated incidents related to cloud or on-premises infrastructure., • 5 + years maintaining and operating Microsoft Azure or AWS and Microsoft 365 environments, including administration, automation, and optimization., • 5 + years of Windows Server administration, including Active Directory, DNS, DHCP, and Group Policy., • Proficiency in managing and troubleshooting VMware infrastructure., • Experience with backup and recovery tools like Veeam, Commvault, or similar., • Solid understanding of networking fundamentals, including VPNs, DNS, and firewalls., • Advanced scripting and automation skills using PowerShell or Python, • Experience configuring and managing email security protocols (SPF, DKIM, DMARC) and hybrid mail flow., • Familiarity with containerization and AKS (or other Kubernetes solutions)., • Familiarity with SQL database architectures., • Knowledge of storage systems (SAN, NAS) and performance optimization. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $94,000.00 - $147,950.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Description Leidos is seeking an experienced Senior Network Delivery Architect for our Resilient Network Practice. POSITION SUMMARY: The successful candidate will be responsible for providing hands on technical expertise with Mission Drivers within the Network Practice of the Digital Modernization (DigMod) Sector. As a Network Practice Sales Engineer/Architect , you'll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos Network solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos Mission Drivers. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience. WORK LOCATION: We're looking for someone available to work onsite in Newark, NJ for a defined period, initially. The role offers some telework flexibility, but candidates must be willing and able to travel to other future customer sites and work onsite as needed. CLEARANCE REQUIREMENT: No initial clearance is required to start; however, you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required). PRIMARY RESPONSIBILITIES: Technical Expertise: • Maintain a deep understanding of network technologies (e.g., IaC, SD-WAN, wireless, NFV)., • Maintain a deep understanding of Leidos Network Mission Drivers and be able to articulate technical benefits, features, and use cases to potential clients., • Stay informed about network trends, competitive landscape and emerging technologies to effectively position Leidos capabilities and offerings., • Lead strategic initiatives to enhance the Leidos offerings portfolio, leveraging your deep technical knowledge and industry insights. Client Engagement: • Be the Network Practice Area technical Sales Engineer/Architect that works with Leidos DigMod Sector CTO, Business Groups and Growth to identify customer requirements and propose tailored solutions and offerings., • Direct, conduct and participate in technical presentations, demonstrations and workshops for government customers., • Work with DigMod CTO organization to leverage and create sandbox, demonstration environments for hosting Network Practice repeatable offerings., • Develop and maintain high-level relationships with key stakeholders and decision-makers to drive strategic opportunities and long-term partnerships., • Provide consulting and thought leadership to influence client decision-making and drive project success. Solution Architecture: • Partner with Leidos capture teams, solutions architects, and engineers to design secure, resilient, and scalable networking solutions that meet customer requirements, including MPLS-based transport, carrier-neutral facility interconnects, SD-WAN overlay architectures, and wireless access technologies, tailoring repeatable offerings accordingly., • Architect enterprise and mission-scale network solutions leveraging multi-cloud connectivity patterns, including hybrid and cross-cloud networking, secure cloud on-ramps, and integration with carrier-neutral data center ecosystems to support federal mission needs., • Design and oversee implementation of advanced segmentation strategies, including micro-segmentation and policy-based network controls, to enhance security posture, zero trust alignment, and workload isolation across on-premises, cloud, and edge environments., • Develop and implement innovative solutions to address complex technical challenges across multiple sectors, applying deep expertise in SD-WAN overlays, wireless technologies, and multi-transport networking using creative problem-solving and advanced technical judgment., • Architect and govern the delivery of enterprise-scale network solutions, ensuring alignment with organizational strategy, client mission objectives, and evolving technology standards., • Champion network architecture best practices and drive continuous improvement of Leidos Network Practice offerings based on market trends, emerging technologies, and client feedback., • Serve as the lead technical contributor for proposal and RFx efforts, with primary responsibility for solution architecture, technical narratives, and pricing inputs related to network transport, cloud connectivity, and security segmentation strategies., • Deploy, maintain, and demonstrate Network Practice Repeatable Offerings, including SD-WAN, multi-cloud connectivity, wireless, and micro-segmentation capabilities, to internal business areas and current and prospective customers. Collaboration: • Collaborate with practice area team members, client stakeholders, and external partners, including sub-contractors and suppliers, to ensure effective communication and project alignment., • Influence practice area and sector leaders on solution design and process improvements, advocating for strategic approaches and best practices., • Lead cross-functional teams to drive alignment and ensure the successful delivery of complex, multi-dimensional projects. BASIC QUALIFICATIONS: • Master's degree with minimum of 15+ years in network architecture or engineering roles, with a robust background in designing, implementing, and optimizing solutions in network environments; additional years of experience may be substituted in lieu of degree., • Extensive experience in NMS, multi-transport, and infrastructure-as-code concepts., • Demonstrated expertise in designing and deploying scalable infrastructure incorporating cloud environments using both established and cutting-edge technologies., • Proven track record of resolving complex technical challenges in Network architectures., • Strong leadership skills with a successful track record of leading teams in the implementation of Network solutions, fostering collaboration and innovation., • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic Network environments. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $139,100.00 - $251,450.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team! What You'll Do • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models., • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency., • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production., • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work., • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows., • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses)., • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings)., • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career., • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams)., • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances., • Competitive base salary ($150-300k DOE), • Equity, • Comprehensive benefits package (Medical, Dental, Vision), • Flexible hybrid schedule, • Real ownership in a high-growth and cutting-edge environment, • High exposure, working closely with leadership, • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates, • Fun, professional, and innovative company culture

Job DescriptionInvestorFlow is the only company of its kind to deliver industry specialized CRM, built on Salesforce, and digital portals to help alternative asset firms find opportunities, create and manage relationships, and turn relationship insights into action with increased productivity and transparency. The Solution Architect is a leader responsible for building, coaching, and scaling a high-performing SA team that consistently delivers complex, enterprise accounts. Based in the New York metro area, this leader serves as both a hands-on practitioner and a force multiplier — partnering with Delivery teams to drive sound solutions, build out the SA infrastructure and assets, support pre-sales effort to win competitive deals while simultaneously developing the people, processes, and playbooks that elevate the entire SA practice. This leader will set the architectural standard for how InvestorFlow solutions are designed and delivered — at every stage of implementation — ensuring every engagement reflects deep product expertise, sound technical judgment, industry expertise and a client-first mindset. They will define and enforce solution design principles, provide industry solution thought leadership and personally engage in the most complex and strategic accounts. Beyond client-facing responsibilities, this role serves as a critical bridge between Sales, Product, and Delivery — synthesizing field insights into product feedback, ensuring clean handoffs, and championing quality at every stage of the client lifecycle. The ideal candidate brings a blend of hands-on technical depth, executive presence, and people leadership — equally comfortable whiteboarding architecture with an engineer and presenting value proposition to C-suite stakeholders. You Will: SA Team Leadership & Development * Define and enforce architecture standards, design principles, and reusable solution patterns that ensure consistency, scalability, and quality across all client engagements * Drive a culture of continuous learning through certifications, emerging technology evaluations, and knowledge-sharing — keeping the team ahead of industry trends including advances in AI and cloud * Mentor and develop SA talent through structured peer reviews and design critiques, while fostering deep collaboration across engineering, data, and AI practices to bridge the gap between architecture and real-world delivery * Establish performance expectations, technical certification standards, and competency frameworks aligned to the products, market segments, and client industries. * Conduct regular 1:1s, call reviews and debriefs to identify skill gaps and coach SAs on solution positioning, discovery, objection handling, and executive engagement. * Model exemplary SA behavior by personally engaging on the most strategic and complex opportunities demonstrating best practices to the team. Industry Leader in Solutioning * Design and architect end-to-end technical solutions that align with client business objectives, translating complex requirements into scalable, actionable blueprints * Lead solution design sessions, producing high-quality architecture documentation including system diagrams, data flow models, and integration patterns – in alignment with the private markets best practices * Evaluate and recommend technologies, frameworks, and platforms by conducting feasibility assessments and proof-of-concept engagements * Identify technical risks and dependencies early in the solutioning process, defining mitigation strategies that protect project timelines and outcomes * Understand, define and collaborate the architecture of InvestorFlow AI powered solutions and ensure they are seamlessly integrated into client’s environment * Collaborate with product, engineering, and sales teams to ensure proposed solutions are commercially viable and technically sound Excellent Client Delivery * Ability to serve as the primary Solution point of contact for key strategic accounts; building trusted advisor relationships with client stakeholders at all levels * Drive solution delivery from pre-sales through implementation, ensuring continuity of solution vision and alignment with agreed scope * Facilitate Executive discovery workshops and requirements-gathering sessions to deeply understand client pain points, workflows, and success criteria * Proactively communicate solution progress, risks, and changes to both technical and non-technical audiences through clear, structured reporting * Partner with delivery and project management teams to ensure solutions are implemented on time, within budget, and to the client's satisfaction — championing quality at every stage Identify technical risks and dependencies Pre-Sales Strategy & Execution * Define and own the pre-sales methodology for the SA team — including discovery frameworks, solution validation approaches, proof-of-concept standards, and proposal/RFP strategy. * Collaborate with Sales team to qualify opportunities, assign SA resources, and develop pursuit strategies for key accounts * Drive the technical win strategy for strategic pursuits, including architecture design sessions, executive briefings, competitive differentiation, and value-engineering workshops. Cross-Functional Collaboration * Serve as key influencer into the Product organization — synthesizing field feedback, feature gaps, and customer requirements into actionable product input. * Develop and maintain deep, hands-on expertise across the full InvestorFlow product suite — understanding the nuances of each product's capabilities, integration points, and value proposition well enough to design compelling, tailored solutions that resonate with client needs * Ensure smooth handoffs post-sale, including architecture documentation, scope alignment, and customer success planning (if involved in Sales) * Work with the Engagement Management to ensure pre-sales scoping is accurate, delivery commitments are achievable, and solutions are of top-notch quality Operational Excellence & Reporting * Own SA resource allocation, balancing pipeline coverage with team capacity and development priorities. * Define and report on SA team KPIs including: * Delivery success and outcomes (e.g. implementation success, on-budget, on-time %) * Customer impact (time-to-value, CSAT) * Practice development (reusable assets, product feedback contribution) * Team capability (certifications/ utilizations) * Solution quality (# of solutions accepted/ re-work required post-delivery, etc.) * Build scalable processes for SA activity tracking, opportunity documentation, and knowledge capture in CRM and enablement platforms. * Conduct quarterly business reviews with Clients and Delivery leadership, presenting SA team performance, market insights, and forward-looking capacity plans. * Continuously evaluate and improve pre-sales tooling, demo infrastructure, client delivery assets and content libraries to keep the team operating at peak efficiency. You Have: Required Experience * 10+ years in enterprise B2B technology, with at least 5 years operating as a Solution Architect with Salesforce * 3+ years leading SA with direct people-management responsibility * Demonstrated track record of winning complex, multi-stakeholder enterprise deals in a technical solutioning capacity * Experience operating in the NYC metro market and familiarity with key enterprise verticals. Financial Services / private markets industry a plus. * Proven ability to influence senior executives and build credibility with both technical and business audiences * Strong executive communication skills — able to present technical strategy to C-suite audiences with clarity and confidence * History of developing SA talent and building high-performance pre-sales cultures Preferred Qualifications * Experience in a player-coach SA leadership role — personally closing enterprise deals while simultaneously managing and developing a team. * Familiarity with professional services delivery and the pre-sales-to-delivery handoff in a complex implementation context. * Background with platform or ecosystem-based GTM motions, including partner SAs, channel pre-sales, or ISV integrations. * Existing network within the NYC Tri-State enterprise technology community — financial services, media, insurance, or professional services verticals. * Experience building or scaling an SA practice from early-stage through growth (Series B–D or equivalent, or within a high-growth business unit). * Relevant technical certifications (AWS, Azure, GCP, Salesforce, or domain-specific credentials) that reinforce practitioner credibility with customers. InvestorFlow is an investor and deal engagement platform that prioritizes intelligent digital experiences, productivity, and engagement. Our cloud-native platform integrates deal flow management, fundraising, reporting, and investor services. We are proud to serve over 175 clients, including 25 of the top 50 alternative asset managers, managing more than $6 trillion in assets, 750 funds, and 90,000 LPs. Headquartered in San Francisco, California, we are committed to driving innovation and inclusivity in the financial industry. To learn more about our company, please visit . 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 KUBERNETES ENGINEER Overview We are hiring a Kubernetes Engineer who writes production-grade software that programmatically engages with Kubernetes, not someone who operates clusters and writes scripts. You will live and breathe Kubernetes, collaborate closely with the team on anything that touches users' Kubernetes clusters, and bring deep technical curiosity to open-source debugging and cluster-level problem solving. If you are more excited about operating Kubernetes than writing software that interacts with it, this role is not for you. If you are excited about both and have a track record of going deep, keep reading. About the Company The company is the cloud platform for modern tech companies. They provide the power of the cloud without the complexity and cost, allowing the next generation of builders to run anything, anywhere. Traditional engineering orgs allocate enormous time and money to managing AWS, Azure, and GCP, and quickly become locked in. The company enables top engineering teams to instantly create production-grade infrastructure on any cloud provider, deploy their application code, and easily monitor and manage it, allowing them to focus on what they do best: building a great product. Series A funded, profitable, growing 8x in ARR since 2022, headquartered in New York with an SF office. Flat team, high ownership, working with some of the most exciting YC-backed companies. Key Responsibilities • Write production-grade software that programmatically engages with Kubernetes, • Manage Kubernetes cluster upgrades end-to-end, • Debug at the node level: shell into virtual machines, dig through log files, and find root causes, • Read through open-source repositories to debug third-party dependencies, • Collaborate with the team on anything that touches users' Kubernetes clusters and provide meaningful feedback, • Work in two-week project cycles with full autonomy to propose and drive your own work, • Talk to customers directly via Slack and bring product intuition to infrastructure decisions Requirements — Must Have • 5 - 8 years working with Kubernetes and writing production-grade software, • Has managed Kubernetes cluster upgrades, • Comfortable debugging at the node level: shelling into VMs and digging through log files, • Comfortable reading open-source repositories to debug third-party dependencies, • Genuinely excited about Kubernetes, not just experienced with it, • Excited about collaborating with others and providing feedback on anything that touches users' clusters, • End-to-end ownership mindset; has owned the full development lifecycle of code in production, • Genuine interest in dev tooling, • Based in or willing to relocate to New York, fully in-person 5 days a week, • H-1B transfer OK · OPT OK · O-1 considered Requirements — Nice to Have • Experience with Go, • Experience with GitOps, • Has worked on open-source projects in the Kubernetes ecosystem, • Has built a Kubernetes controller Compensation • Base Salary: $200,000 - $270,000 Benefits & Perks • 30 days PTO, • 30 days remote per year, • Relocation covered Interview Process 1. Intro with Team Lead, 2. Applied algorithms and data structures, 3. System design, 4. Specialized coding discussion based on prior interview feedback, 5. On-Site Work Trial, 6. Offer Extended

Job Description Our client Rondah is looking for Software Architect in US. Notes: This is a remote role. About the Role Rondah is looking for a highly capable engineer who can develop a deep understanding of our systems and help own technical operations end-to-end. This role is ideal for someone who enjoys solving complex problems, working across the stack, and operating in a fast-paced startup environment. You'll work closely with engineering and product teams to investigate support requests, debug production issues, and contribute improvements across the platform. The ideal candidate is resourceful, curious, and comfortable touching every part of the stack. Responsibilities: • Triage and resolve technical support tickets, • Investigate and debug issues across frontend, backend, APIs, databases, and infrastructure, • Build a strong understanding of the overall system architecture and workflows, • Own issues end-to-end from investigation through resolution, • Collaborate with engineering teams to improve system reliability and product quality, • Contribute fixes, tooling improvements, automations, and operational enhancements, • Monitor production systems and proactively identify issues, • Communicate technical findings clearly with both technical and non-technical stakeholders, • Strong software engineering fundamentals, • Experience working across multiple layers of the stack, • Excellent debugging and analytical problem-solving skills, • Ability to understand complex systems quickly, • Comfortable working in fast-moving startup environments, • Strong ownership mentality and ability to work independently, • Experience supporting or maintaining production systems, • Startup or early-stage company experience, • Full-stack engineering background, • Exposure to cloud infrastructure and DevOps workflows, • Experience with APIs, databases, distributed systems, and monitoring tools, • Experience handling customer-facing technical issues, • High ownership and accountability, • Strong technical curiosity, • Systems thinking and adaptability, • Ability to work across teams and functions, • Bias toward action and problem solving

Job DescriptionBuild the foundational AI dispatching systems for the home services industry at an elite proving ground designed for future founders. Founding Full Stack Engineer Benefits • Starting Salary targeting $200K - $300K, • Competitive equity package, • Comprehensive medical dental vision, • Monthly food stipend, • Unlimited snacks and beverages, • Growth Opportunities Founding Full Stack Engineer Qualifications • Proficient in Python, React, TypeScript, and managing cloud infrastructure through GCP or AWS., • Founding engineer background with a history of shipping state-of-the-art GenAI applications and solving applied research problems., • Proven history of extraordinary technical achievement, such as success in elite hackathons or top-tier coding and math competitions., • Ability to work onsite

Job Description Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK, • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms, • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable., • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • Preferred Tech Stack:, • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform), • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK, • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms, • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable., • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • Preferred Tech Stack:, • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform), • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Staff Software Engineer The Role As a Staff Software Engineer, you will shape the technical direction and architecture of your business unit/vertical. You'll drive innovation across verticals, solve large-scale system challenges, and mentor senior engineers to maximize impact. You operate with autonomy and influence outcomes at the vertical and/or organizational level. What You'll Do • Define and lead multi-team technical strategies for scalability and interoperability., • Design frameworks and reusable systems used across multiple engineering pods. Define engineering patterns adopted across Datavant., • Drive cross-functional initiatives in data architecture, security, and reliability., • Advise leadership on technical direction and major tradeoffs. Represent engineering in executive technical decisions and planning., • Backend: Python, Go, Java; microservices; REST and GraphQL, • Frontend: TypeScript, React, Next.js (as needed for full-stack or cross-domain work), • Infrastructure & Cloud: AWS, multi-cloud architectures, Kubernetes, Docker, and infrastructure-as-code tooling, • Data Platforms: Snowflake, Spark, SQL, S3; advanced data engineering workflows and high-scale data pipelines, • ETL & Orchestration: Airflow or AWS Glue, • Streaming: Kafka or Kinesis for real-time ingestion and system integrations, • Observability: Enterprise-level telemetry systems including DataDog, Grafana, and CloudWatch, • 10+ years of software engineering experience with demonstrated system design mastery., • Deep experience with large-scale distributed systems, multi-cloud architectures, data pipelines, and security., • Strong organizational influence and ability to align teams across verticals., • Ability to translate strategic objectives into scalable engineering execution., • Commitment to mentorship, technical excellence, and continuous improvement.Leadership Qualities & Mindset, • Operate as a trusted technical advisor and thought leader. Create clarity in ambiguous, cross-functional problem spaces., • Balance vision with pragmatic implementation and organizational awareness., • Champion scalability, security, and compliance as shared responsibilities., • Elevate engineering standards and inspire architectural excellence., • Act with integrity, empathy, and long-term impact orientation.Core Value Expectations, • Earn trust through architectural stewardship and enterprise-grade reliability., • Obsess over customers by driving scalable, secure, high-impact solutions., • Prioritize growth over comfort by embracing the hardest challenges and modeling excellence., • Win as a team by aligning pods, shaping cross-functional strategy, and building talent. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$220,000—$275,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

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 this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • 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 $227,000 to $303,000. 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 About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. About The Opportunity As a Staff Engineer in our AI and Robotics org, you will build a food agent, a personalized meal planning and nutrition product that blends LLM-driven recommendations, health-aligned goal setting, and agentic ordering. You'll shape technical strategy, make key architectural calls, and personally drive high-complexity work from design through production. This role is for someone who has built AI agents and LLM-powered products before, ideally as a founder, founding engineer, or early-stage technical leader, and who is deeply curious about how these systems actually behave at scale. This is not a planning role: you'll write code, review code, and ship code every day. The Impact You Will Make * Define and drive the technical roadmap for our AI food agent, spanning recommendation, personalization, agentic ordering, and health-aligned meal planning * Architect and scale distributed infrastructure for real-time retrieval, vector search, multi-modal inference, and LLM orchestration. * Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines, model serving, prompt orchestration, RAG, fallback logic, and evaluation frameworks * Establish evaluation and experimentation infrastructure: evals, benchmarks, scoring criteria, A/B testing pipelines, and feedback loops that make the AI measurably better over time What You Bring to the Table * 8+ years of professional software engineering experience, with at least 3 years building and shipping AI or ML-driven systems in production * Deep distributed systems expertise. You've architected infrastructure that handles high-throughput, low-latency workloads at scale * Hands-on experience building AI agents, LLM-powered features, or agentic workflows in production. You've worked with retrieval pipelines, prompt orchestration, embedding-based systems, and model evaluation * Prior experience as a founder, founding engineer, or early-stage technical leader at a startup. You know what it takes to build from zero with limited resources * Proficiency with backend development frameworks and cloud infrastructure. Familiarity with Python, TypeScript, and modern ML tooling * Strong system design skills with a track record of shipping scalable, production-grade software under real constraints * A degree in Computer Science, Data Science, or a related technical field (or equivalent experience) Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. #LI-Hybrid New York: $225,000 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed. A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Job Description Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key Responsibilities • Build and maintain infrastructure supporting large-scale ML training and inference workloads, • Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms, • Improve reliability, observability, and performance across the platform layer, • Collaborate directly with senior engineers and product teams on architecture decisions, • Own production reliability — monitoring, incident response, and proactive risk reduction, • Develop and maintain internal tooling and automation to support engineering operations Requirements • 5+ years of infrastructure or platform engineering experience in a production environment, • Strong distributed systems background — experience with large-scale compute workloads preferred, • Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required, • Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads, • Experience owning production reliability end to end Benefits • Competitive base salary ($130,000-$240,000) + equity, • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working at the forefront of AI infrastructure at scale

Job DescriptionOverview We are seeking a highly skilled, customer-focused IT professional to serve as the senior-most escalation point for end-user technical support across our 170+ person engineering design firm. This is fundamentally a people-first role: the ideal candidate is someone who genuinely enjoys solving problems for users, communicates clearly with both technical and non-technical staff, and takes ownership of issues through to resolution. You will operate within a Microsoft-centric environment (Windows, M365, Azure) and work collaboratively with external IT consultants who manage backend infrastructure and cloud architecture. Your job is not to design or engineer those systems; it's to deeply understand them, support the people who depend on them, and be the final internal resource when standard help desk support can't resolve an issue. Core Responsibilities • Serve as the Tier 3 escalation point for all end-user IT support across Windows, M365, and Azure-integrated services, • Diagnose and resolve complex user-facing issues related to endpoints, authentication, cloud applications, and connectivity, • Act as the internal liaison with external network and cloud consultants during implementations, maintenance windows, and incident response — translating technical changes into user impact and support readiness, • Maintain working knowledge of the firm's Azure/M365 environment sufficient to support users and coordinate effectively with consultants, • Develop and maintain internal documentation, known issue logs, and support procedures Customer service & communication • Demonstrated history of excellent end-user support — patient, clear, and solutions-oriented, • Comfortable supporting non-technical users in a fast-paced professional environment, • Ability to set expectations, communicate status, and follow through on open issuesTechnical proficiency, • Strong working knowledge of Windows desktop OS, M365 applications (Teams, Outlook, SharePoint, OneDrive), and Azure AD / Entra ID, • Experience supporting hybrid environments (cloud + on-prem), • Ability to troubleshoot issues spanning endpoints, user authentication, access/permissions, and cloud-based applications, • Familiarity with endpoint management tools (e.g., Intune or similar MDM platforms)Nice to have (not required), • Exposure to tools common in AEC or engineering environments (e.g., Autodesk products, large file workflows, CAD/BIM application support), • Hybrid (NYC area) — minimum 2 days/week in office, with increased on-site presence expected during any new hire onboarding Powered by JazzHR xquVtOyD36

Job Description About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. Job Responsibilities: • Firm-Wide Cloud Platform, • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks., • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway)., • Define compute placement strategies, including cluster placement groups and locality-aware scheduling., • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely., • Own FinOps visibility and cost optimization frameworks across all trading and research workloads., • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution., • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack., • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams., • Cloud Migration (CME-GCP), • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout., • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN)., • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS., • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations., • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace., • Crypto Desk – Specialized Support, • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways., • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks., • At least 5+ years of experience in a similar role in the industry, • Extensive hands-on experience with both AWS and GCP in performance-sensitive environments, • Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP, • Extensive experience with Terraform at scale, • Direct experience supporting electronic trading or low-latency systems, • Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams, • GCP & Cloud Migration, • Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes, • Working knowledge of GCP IAM, Organization Policies, and multi-project governance, • Understanding of multi-cloud networking patterns and cross-cloud security posture management, • Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure Discretionary bonus eligibility * Medical, dental, and vision insurance * HSA, FSA, and Dependent Care Options * Employer Paid Group Term Life and AD&D insurance * Voluntary LTD, Life & AD&D insurance * Flexible Vacation policy * Retirement plan with employer match * Paid Parental Leave * Wellness Programs Annual compensation range $210k-$260k USD+ discretionary bonus eligibility DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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 Our client is a recently acquired SaaS startup based in New York City that is currently hiring a Full-Stack Software Engineer. They are a 100+ person software company with top-tier talent. The Software Engineering Team is looking for Developers with 5-7+ years of experience. Hands-on work with React.js, Golang, PostgreSQL, Multi-Cloud (such as AWS, GCP, and/or Azure into a single infrastructure.) The role is ideally NYC Hybrid preferred but open to remote for the right person. This position is hands-on architecture, design and implementation of production level code. Candidates must demonstrate excellent communication and organizational skills. This role features competitive base salary, equity and benefits.

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 Global Command Center is the nerve center of CoreWeave's global data center fleet. We don't just monitor infrastructure, we engineer the systems that make our massive scale manageable. This team is building the operational technology layer that powers real-time visibility, intelligent alerting, and automated response across one of the world's most advanced GPU compute platforms. About the role: As the Command Center Systems & Automation Engineer, you are the technical engine behind our operational platform. You will own the tools, integrations, and automation that give our operators the intelligence they need to act fast and accurately. From enhancing our unified monitoring platform to refining alert intelligence and automating repetitive tasks, your work directly reduces risk and improves uptime across CoreWeave's global infrastructure. • Own the evolution of the Command Center's "Single Pane of Glass", integrating signals from DCIM, EPMS, BMS, and other infrastructure platforms into a unified, real-time operational view., • Transition alerting from threshold-based noise to intelligent, correlated logic using platforms such as Grafana, Prometheus, Ignition, or equivalent tools., • Automate manual operator workflows, including reporting, vendor check-ins, initial triage, and ticket creation., • Design and maintain data visualization dashboards and KPI reporting tools that give operators and leadership clear, actionable insight into fleet health and performance., • Integrate and optimize Jira workflows to accelerate incident response, change management tracking, and task automation., • Build and maintain technical runbooks and automated validation tools to ensure SOPs and MOPs are digitally enforced, not just documented., • Engineer tracking for MTTD and MTTR, enabling data-driven performance improvement and RCA support., • Partner with IT and Facilities Engineering teams to define system ownership boundaries and integration standards for in-scope platforms (DCIM, Ignition, BMS/EPMS). Who You Are: • 5+ years of experience in Data Center Operations, Site Reliability Engineering (SRE), Network Operations, or Advanced Manufacturing, in a mission-critical environment., • Proficient in Python, Go, or other scripting languages for infrastructure automation and workflow orchestration., • Hands-on experience with enterprise monitoring and observability platforms (Grafana, Prometheus, Ignition, or similar)., • Familiarity with SCADA, BMS, EPMS, and BACnet-type systems and how they integrate with operational tooling., • Skilled in SQL or NoSQL databases for operational reporting and KPI dashboard development., • Experience with time series data, telemetry platforms, and data visualization best practices., • Experience in hyperscale or AI infrastructure environments., • Familiarity with historian/telemetry platforms (Ignition or similar) and time series data pipelines., • Background in Agile development practices, able to work iteratively and deliver incremental improvements., • Deep understanding of physical infrastructure (Power, Cooling, Networking) as it relates to high-density GPU workloads., • Experience designing Jira project structures and automations for complex operational workflows., • You love to build the "connective tissue" that makes complex systems feel simple., • You're curious about how to turn a mountain of raw data into a single, actionable alert., • You're an expert in staying calm under pressure and leading teams through high-severity incidents. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $99,000 to $145,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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 DescriptionAbout Duetti Duetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries, including Connor Price, Ingrid Contreras, and Brent Morgan, helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers competitive benefits, flexible paid time off, and a hybrid work model. We pride ourselves on a culture that blends ambition with genuine care – an environment where your work immediately shapes outcomes for artists worldwide. Role Overview At Duetti, data is at the heart of everything we do. We are seeking a skilled Backend Developer with experience in DevOps and full-stack development to join our team. In this role, you will be instrumental in optimizing the infrastructure that powers our data-driven initiatives, supporting cloud deployment, and enhancing the developer experience. Your expertise will contribute to building scalable and robust systems, enabling efficient deployment, monitoring, and management of our applications. As a Backend Developer at Duetti, you will collaborate closely with data engineers, data scientists, and cross-functional teams to understand their requirements and implement high-quality solutions. We provide our engineers with the platform to enhance their skills and grow in their careers. We are looking for a talented individual with strong back-end development skills, experience in cloud technologies, and a good understanding of scalable infrastructure systems. Proficiency in scripting languages such as Python is essential. Familiarity with cloud platforms like AWS and experience with containerization technologies, such as Docker or Kubernetes, are required. A problem-solving mindset, the ability to work collaboratively, and a passion for building efficient and scalable systems are key qualities for success in this role. Join our team and contribute to the growth and success of Duetti as we leverage data and the cloud to transform the music industry. We offer a competitive compensation and benefits package, along with opportunities for professional development and growth. You Will: * Design, develop, and maintain scalable and robust back-end systems to support data processing, analysis, and API services. * Collaborate with front-end developers and cross-functional teams to integrate server-side logic with user-facing elements. * Design and implement secure, scalable APIs to facilitate communication between services. * Contribute to the design and optimization of our cloud-based architecture, ensuring reliable and secure operations. * Implement cloud-based services and technologies to support efficient data processing and storage. * Work with containerization technologies, such as Docker or Kubernetes, to ensure scalability and flexibility. * Automate deployment, monitoring, and maintenance processes to improve efficiency and reduce downtime. * Troubleshoot and debug infrastructure-related issues, providing timely resolution and ensuring smooth system operations. * Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements and implement high-quality solutions. * Stay updated with the latest trends and technologies in cloud computing, API design, and infrastructure development, proposing innovative solutions to enhance our systems. Requirements: * Bachelor’s degree in Computer Science, Engineering, or a related field. * 5+ years of proven experience as a Backend Developer, DevOps Engineer, or similar role, with hands-on experience in building and maintaining scalable infrastructure. * Strong experience in API design and implementation, ensuring security and scalability. * Proficiency in back-end programming languages such as Python, and experience with full-stack development is a plus. * Strong understanding of scalable architecture and best practices for infrastructure and API development. * Familiarity with cloud platforms, such as AWS, and experience with cloud services (e.g., EC2, S3, Lambda, EKS). * Experience with containerization technologies, such as Docker or Kubernetes. * Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI. * Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. * Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Datadog. * Strong problem-solving and troubleshooting skills, with the ability to identify and resolve issues efficiently. 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 DescriptionJob Title: Cloud EngineerLocation: 140 Broadway, NY, NY (Hybrid)JOB SUMMARY:Client X is looking for a highly motivated Cloud Engineer to help with the expansion of our service offerings into cloud-based environments. Reporting to the Director of Engineering, the Engineer’s role is to assist with the design, implementation, management and support of technology services within various cloud platforms including Azure, AWS and Oracle cloud.Responsibilities • Work in partnership with the technology teams to act as an advisor to develop cloud-based architectures to support data, applications, and technologies across a growing enterprise, • Responsible for the development of a robust Cloud Governance model including billing, security, cost analysis, reporting, capacity planning etc., • Create, champion, and implement standards, processes, and procedures to be used across the enterprise, in the delivery of key infrastructure support services, • Collaborate with development and engineering teams to identify and evaluate optimal cloud solutions, • Educate existing teams on implementation and maintenance of cloud services, • Develop and maintain cloud solutions according to security best practices, • Monitor and audit security logs and configure and manage alerting, • Manage components of the operating and capital budgetsRequired Skills & ExperienceThe ideal candidate will have a willingness to work in a dynamic, complex environment, have a solution-oriented mindset, and demonstrated experience with enterprise IT governance models, infrastructure architecture, and a solid understanding of IT security frameworks. The ideal candidate should have:, • BS degree in computer science or equivalent experience, • Minimum of 3 years of progressively responsible and relevant experience in cloud technologies, • Relevant experience in infrastructure design and architecture, • Management of third-party technology service and implementation partners, • Experience installing and leading the adoption of best practice processes, methods, and technologiesLocation Requirements, • Based in New York, NY with occasional travel to other Client X’s locations

Job DescriptionAbout Us: Giftogram is a fast-growing, Whippany-based rewards and incentives platform known for its culture of appreciation, innovation, and high accountability. Founded in 2012 and headquartered near Whippany, NJ, is a profitable B2B SaaS company that empowers organizations to build stronger relationships through digital rewards and branded incentives. Giftogram’s mission centers on helping companies meaningfully engage employees, customers, and partners through simple, flexible, and instant digital gifting solutions. Their culture is defined by creativity, optimism, integrity, and resourcefulness, attracting people who thrive in collaborative, high-ownership environments where impact is visible and ideas move quickly. As a profitable, independently run company, Giftogram operates without venture-capital constraints, giving employees the freedom to innovate and shape the company’s next phase of growth. Position Summary: We are seeking a Cloud Systems Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. This role will also have you own the IT foundations (identity, devices, endpoint security) that support a growing technical team. Key Responsibilities: • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Partner with engineering on CI/CD pipelines, deployment tooling, and developer environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Maintain system reliability, monitoring, and alerting for production services, • Respond to infrastructure incidents, write clear postmortems, and drive the follow-ups, • Administer our IAM, MDM and EDR platforms tuning, triage, and incident response, • Support the team with IT questions and triage vendor issues when needed, • Maintain clear runbooks, architecture docs, and internal documentationRequired Qualifications:, • 3–5+ years of hands-on systems administration, DevOps, or infrastructure experience, • Strong AWS experience, you've operated a real production environment., • Solid Linux fundamentals, shell, system, networking, permissions, performance troubleshooting, package management, • Proficient with scripting and automation, you automate instead of repeating yourself, • Hands-on experience with Infrastructure as Code, • Working knowledge of networking (VPC, subnets, routing, security groups, DNS, VPN), • A security mindset, least privilege, blast radius, audit trails, and "what could go wrong" are instincts, not checklists, • Direct experience operating an MDM and an EDR platform in productionPreferred Qualifications (Optional):, • Experience with containers and orchestration (Docker, ECS, EKS, Kubernetes), • Exposure to compliance frameworks (SOC 2, PCI DSS, ISO 27001, HIPAA), • AWS certifications (SysOps, Solutions Architect, Security Specialty) are a plus but not requiredCompensation:, • Salary Range: $90,000 to $120,000, • Annual Discretionary Bonus: up to 10%, • What we Offer:, • Competitive base salary + discretionary annual performance bonus, • 401(k) with company match, • Medical, Dental, and Vision insurance, • Flex PTO Program, • Paid Holidays, • High-visibility role with direct impact on revenue and growth, • Collaborative, fast-moving team that values initiative and ideas 4DnxPz5d1u

Job Description Neota is a revolutionary no-code automation platform empowering insurance, compliance and legal professionals to build and deploy workflow automation solutions without writing a single line of code. Our platform is trusted by top corporations, law firms and educational institutions worldwide. The DevOps Engineer is responsible for maintaining secure, high-performing cloud infrastructure across AWS and Microsoft Azure, including managing and patching Linux servers. The role focuses on optimising system reliability and performance, supporting development teams with production troubleshooting, and maintaining in-house deployment tools built with Django. It also involves managing backups, databases, and source control systems like Git, while ensuring strong security practices and clear documentation of architecture and networks. The position Requirements Responsibilities • Managing and maintaining the Amazon Web Services (AWS) and Microsoft Azure, • infrastructure supporting Neota Logic and its customers., • Managing, updating and patching our fleet of Linux application servers., • Tuning our cloud-based delivery systems to achieve excellent availability, responsiveness and performance., • Supporting software development in troubleshooting production problems., • Maintaining, updating and extending our in-house developed Django-based, • build/deployment/infrastructure management tool., • Ensuring that our networks and applications are secure., • Managing backups, databases and SCM (like git)., • Helping to document architecture, networking and security - both internally and externally., • Ability to work 4 hours one weekend per month Qualifications Required Skills: AWS (EC2/RDS), Azure, Scripting (Bash, Python), Network Management, RDBMS/SQL Administration, Linux, Security. Microsoft 365 Google workspace administration will be considered a plus. Education: BSCS (MSCS preferred) Professional Experience: 3+ years • 2+ years of Linux Systems Administration experience. You must be comfortable and proficient working from the UNIX command line, • 2+ years of professional experience administering public cloud systems, in particular AWS, • (EC2, RDS, Guard Duty, WAR etc.) and Azure, • Demonstrated proficiency in Python, • Hands-on experience administering SQL relational databases (PostgreSQL preferred), • The ability to come up to speed quickly and thrive in an environment rich in complexity, • Excellent communication skills, with the ability to present ideas and solutions in a clear and organized manner, • The ability to work independently and achieve established goals with minimal supervision, • Strong attention to detail, but with a solid grasp of the bigger picture, • A security-first mindset We value our employees’ time and efforts. We work to maintain the best possible environment for our employees, with flexible working conditions and an encouraging environment where people can learn and grow with the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Job Title: Senior Java Software Engineer – Financial Services Location: NYC, New York (Onsite) About the Role: We're seeking a highly skilled Senior Java Software Engineer to join our dynamic team working on complex financial service systems that serve millions of customers worldwide. You will play a critical role across enterprise architecture, risk technology, and investment banking (IB)-facing applications. This role demands strong expertise in core Java technologies, scalable distributed systems, and modern cloud platforms. Key Responsibilities: • Design, develop, and maintain high-performance, scalable financial applications using Core Java, Spring Boot, and Hibernate., • Build and integrate RESTful APIs and microservices within distributed systems architecture., • Collaborate with cross-functional teams practicing Agile methodologies to deliver high-quality software continuously using CI/CD pipelines and DevOps tools., • Implement messaging solutions using Kafka or other enterprise messaging frameworks to handle real-time data streams., • Optimize application performance, ensure system scalability and high availability in a demanding production environment., • Drive best practices around automated testing (TDD/BDD), including JUnit and Cucumber test frameworks., • Contribute to architectural decisions focusing on robustness and risk mitigation in enterprise financial systems., • Leverage cloud services (AWS, Azure, or GCP) to deploy and manage resilient cloud-native applications. Required Skills & Experience: • Strong expertise in Core Java (Java 8+) with solid understanding of JVM internals., • Extensive experience with Spring Boot, Hibernate ORM., • Proven background designing and developing REST APIs and microservices architectures., • Hands-on experience with Kafka or similar event streaming platforms., • Familiarity with cloud platforms such as AWS, Azure, or GCP, including deployment and monitoring., • Adept in Agile software delivery and CI/CD automation., • Strong knowledge of TDD/BDD with JUnit and Cucumber frameworks., • Experience with performance tuning and ensuring high availability in large scale systems., • Background in financial services technology, risk systems, or investment banking applications is highly advantageous., • Full-working proficiency in English (written and verbal) Preferred Qualifications: • Bachelor's or Master's degree in Computer Science, Engineering, or related field. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description Job Title: Founding Senior Backend Engineer Salary: £200k – 275k + competitive equity Location: New York (FlatIron) – 5 days per week in office – 9:30am - 5:30pm hours Launchpad Recruitment are partnering with an early-stage, venture-backed consumer AI startup building a completely new kind of social and dating experience - centred around voice, trust, and AI-powered interaction. This is an opportunity to join as the second engineering hire, working directly alongside the founders to architect and scale the core backend systems from the ground up. The business is operating in true 0→1 mode, so they’re looking for someone who enjoys ownership, ambiguity, and building products that millions of people could eventually use. The product sits at the intersection of: • Real-time voice infrastructure, • AI/LLM systems, • Consumer social experiences, • High-trust, privacy-first product design You’ll play a key role in shaping both the technical direction and engineering culture from day one. The Role You’ll take ownership of the backend architecture and infrastructure behind a real-time, voice-first consumer platform. Responsibilities include: • Building scalable backend systems and APIs, • Designing low-latency real-time voice infrastructure, • Working on streaming and WebRTC-based systems, • Building fault-tolerant and resilient distributed systems, • Supporting AI-powered workflows and LLM integrations, • Improving observability, monitoring, and reliability, • Collaborating closely with founders, product, and design, • Helping define engineering standards and architecture decisions Tech Stack • Python, • FastAPI, • SQLAlchemy / Alembic, • PostgreSQL / Supabase, • React Native, • LiveKit / WebRTC, • Anthropic & OpenAI APIs, • Langfuse, • Render / Google Cloud Ideal Background They’re looking for strong backend engineers who enjoy building products from scratch and solving complex systems problems. You’ll likely have: • Strong backend engineering experience with Python, • Experience building scalable APIs and distributed systems, • Exposure to real-time systems, streaming, or WebRTC, • Startup or 0→1 product experience, • Experience working with cloud infrastructure and observability tooling, • Strong product mindset and willingness to move quickly, • An interest in AI-native products and human-centred technology Experience in consumer apps, voice products, AI tooling, or high-scale systems would be particularly valuable. If you’re interested in building something genuinely different at the intersection of AI, voice, and consumer technology, apply now for a confidential discussion. Launchpad Recruitment Ltd acts as an employment agency for permanent recruitment and an employment business for temporary recruitment. By applying for this role, you consent to your personal data being processed in accordance with our Privacy Policy (launchpadrecruitment.com/privacy-policy). We are committed to equal opportunities for all applicants.

Job DescriptionJob Title:Senior Backend Solana Rust Engineer Location:Remote Employment Type:Full-time Focus:Backend / Systems Engineering Industry: Blockchain Infrastructure / Web3 About the OpportunityInner Circle Agency is partnering with well-known, established teams in the Solana ecosystem to hire Senior Backend Engineers with strong Rust expertise and real production experience. Our clients are building transaction-heavy, performance-critical systems. They are looking for engineers who think in systems, take full ownership of what they ship, and are comfortable working close to the protocol. This is a backend and systems-focused role. Role Overview As a Senior Backend Solana Engineer, you will design, build, and maintain production-grade Solana programs and the backend infrastructure that supports them. You will be deeply involved in architecture decisions, performance optimization, and security considerations for live systems used at scale. You will work alongside senior engineers, product, and infrastructure teams to ship reliable, secure, and scalable Solana-based systems. Key Responsibilities * Design, develop, and ship production Solana programs using Rust * Own backend and systems architecture for transaction-heavy environments * Build and maintain backend services and APIs (gRPC, REST) supporting on-chain activity * Work with PostgreSQL and Redis for schema design, performance tuning, and debugging * Implement observability, testing, and benchmarking across systems * Contribute to security-first development practices in blockchain and financial contexts * Mentor other engineers and provide technical direction when needed Qualifications Required * Strong, hands-on experience with Rust in production environments * Proven experience building and shipping Solana programs or dApps * Deep understanding of backend systems and distributed architectures * Experience with APIs, multi-service systems, and data-intensive workloads * Familiarity with cloud infrastructure (AWS or GCP), Docker, and CI/CD pipelines * Ownership mindset with the ability to operate in fast-moving, ambiguous environments Nice to Have * Experience with DeFi protocols or blockchain infrastructure * Background in fintech, trading systems, or high-throughput platforms * Familiarity with Solana RPC clients, transaction handling, and on-chain concepts What Our Clients Offer * Competitive senior-level compensation * High-impact role with real technical ownership * Opportunity to work on production-grade Solana infrastructure * Fully remote teams with experienced engineers * Exposure to complex, real-world blockchain systems If you are a backend-focused Solana engineer looking to work on meaningful, production systems, we would be happy to share more details and explore fit confidentially.

Job DescriptionREMOTE FIRST, INCLUSIVE ALWAYS. EQUALS TRUE started when a type design geek and a talent nerd decided to create real change in the technology industry workforce. Together, they built the first-in-industry authentic talent partner to help organizations build cultures and scale internationally with the best talent in the Americas. We are the only organization in Latin America that was founded with a commitment to be inclusive, treat individuals fairly, pay them equally, and provide them with a great professional experience each day. From day one, EQUALS TRUE has been committed to inclusive hiring, wage equality, and delivering an exceptional professional experience. These values ground our business model and daily practices. We’re different, awkward, techie, weird in all the right ways, and we work only with great people. If you’re looking for a remote-first career aligned with a true social mission and with companies that share your values, then let’s talk about our Lead Software Engineer role today. Here’s what you need to know about this position: Location: Remote, LATAM Engagement Type: Full-Time The Work (What you’ll be doing & Your Impact) * Lead the end-to-end development of web applications using JavaScript frameworks * Design and implement scalable, maintainable system architectures * Translate high-level, often ambiguous requirements from C-level stakeholders into clear technical solutions * Build and integrate AI-driven features * Take ownership of product delivery from concept to MVP to production and iteration * Establish best practices across code quality, structure, and development workflows * Mentor and coach junior developers and interns (code reviews, pair programming, technical guidance) * Collaborate closely with product and business stakeholders to align technical execution with business goals Needed Expertise (What you need to succeed in the role) * Strong experience with JavaScript / TypeScript, React, and Node.js * Solid understanding of API design, system architecture, and infrastructure (cloud, deployments, environments, ideally with AWS) * Proven track record building products from 0 to MVP to scale in startup environments * Experience integrating AI features into real products (e.g., automation, generation, or decision-support tools) * Ability to make pragmatic, product-driven technical decisions * Experience leading small teams and mentoring junior developers * Comfortable working directly with C-level stakeholders and translating ambiguity into execution Not Required But Nice To Have Expertise (What would be great for you to have) * Nice to have: experience in fintech or marketplaces Our Benefits & Perks • We pay in USD through our platform that allows you to convert, allocate and disburse your salary as you want and into almost any currency that you choose, • Paid company holidays, • Medical, safety, and wellness benefits, • Technology benefits, • Business English language classes EQUALS TRUE is open to all qualified candidates. We never evaluate qualified people on anything other than their skills, work history, training, and ability to do the job. We respect the right of people to live the life they want without judgement. So we practice wage equality, create a culture of belonging, insist upon respect for all our people, make every effort to accommodate all disabilities, and work only with companies that share our values. We are proud to be a global equal opportunity employer. And as such we never discriminate based on race, religion, color, national origin, disability, sexual orientation, gender, gender identity, status as a veteran, or any other protected status. We also consider qualified applicants with non-violent and non-financial related criminal histories. Additionally, EQUALS TRUE is committed to providing reasonable accommodations for candidates with disabilities throughout our hiring processes. If you need any assistance or accommodations due to a disability, please let us know.

Job Description About Tru Identity Tru Identity is on a mission to make the process of importing goods into the US more simplified. We are re-imagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year. Tru Identity is enabling companies globally to get compliant before their shipments have even left the port of origin. Doing so allows them to maintain on-time deliveries, keep sales flowing, and expand internationally. We do this by helping importers, marketplaces and logistics providers automate all the complex regulatory compliance work that can slow trade down — saving significant time and money, eliminating fraud, and endless frustration. And though we've only really just got started, we're growing fast with commercial and government customers already secured. Joining now means you'll be part of our foundational team with huge impact. You'll have real ownership, a voice in shaping the products and a chance to help build something transformative from the ground up. We move quickly, stay focused, and value grit and creative problem-solving above all else. About the position We're looking for a seasoned Backend Engineer to lead the architecture and development of our scalable, intelligent systems incorporating powerful AI features. In this hands-on role, you'll use your proven software engineering abilities to design, implement, and maintain robust, high-quality backend APIs and services running on AWS as well as mentoring junior engineers as the team grows. You should be an excellent communicator and a natural problem-solver with a bias for action. Tech stack: Python, Django, NextJS, PostreSQL, pgvector, Qdrant, RAG, OpenAI, Langchain, CI/CD, Celery, BitBucket, Jenkins What will you do: • Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery, • Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and build and maintain reliable CI/CD pipelines, • Develop intelligent, AI features — Integrate OpenAI, LangChain, and vector databases to deliver production-grade AI functionality, • Lead and mentor junior engineers through code reviews and provide technical guidance, • 5+ years of proven software engineering experience with a deep focus on backend., • Expert in Python/Django with a focus on performance and scalability, • Prior experience working in a fast-moving startup environment having taken a product from 0 → 1, • Proficient in AWS and infrastructure management., • Familiarity with observability tools (Sentry, Prometheus, etc.), • Knowledge of microservices and event-driven architecture, • Proven track record of designing and shipping production-grade AI features leveraging LLMs, LangChain, and Retrieval-Augmented Generation (RAG) pipelines., • $170K - $190K USD annually, • Generous PTO and holiday schedule, • 100% paid healthcare, • HSA benefits, • $1000 WFH stipend per year, • Stock options #LI-JM1 #LI-Hybrid Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Funded.club uses AI-assisted tools as part of our candidate sourcing and screening process. All applications are reviewed by a human recruiter, who makes all decisions about which candidates to progress. If your application seems like a good fit for the position, a real member of our team will contact you soon!

Job Description We are looking for a Staff Site Reliability Engineer to help shape and scale a rapidly growing platform. In this role you will act as a senior individual contributor and work closely with engineering and product teams to design, build and operate systems that are reliable, observable and developer friendly. You will play a key role in defining infrastructure strategy, improving how software is delivered and elevating operational excellence across the organization. This is a high impact opportunity for someone who enjoys tackling complex systems challenges, influencing architecture, and raising the reliability bar. What you will own: • You will lead the direction and evolution of cloud infrastructure while modernizing compute and runtime environments. You will own CI/CD systems with a focus on speed, safety, automation and strong developer experience. You will establish and improve observability across metrics, logs and tracing, including alerting strategy, dashboards and service level objectives., • You will define and evolve reliability standards such as SLIs, SLOs and error budgets, while strengthening incident response processes and postmortems to build a strong reliability culture. You will lead high-severity incidents and ensure clear, actionable follow-ups., • In close partnership with engineering teams, you will design resilient and scalable systems and build automation that reduces operational overhead and risk. You will also mentor engineers and help drive best practices across teams. Qualified candidates will have: • 10+ years of experience in site reliability, infrastructure, or backend engineering., • Proven experience operating production systems in cloud environments and driving platform-level improvements., • Strong software engineering skills in one or more modern programming languages., • Demonstrated expertise running distributed systems at scale., • Deep familiarity with cloud platforms, observability tooling, and CI/CD systems., • A systems mindset with the ability to assess risk, design rollback strategies, and manage blast radius and feedback loops., • Experience defining and improving reliability practices such as SLIs, SLOs, and error budgets., • Passion for building CI/CD pipelines and environments that are fast, reliable, and self-service., • Ability to influence through clarity and collaboration rather than control., • Pragmatic approach with a focus on long-term system health and scalability., • Strong focus on learning from failure and continuously improving processes, • Clear communicator who works effectively across teams., • Comfortable navigating ambiguity and setting direction in fast-paced environments This is an onsite position in NYC offering competitive base, equity and benefits.

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 . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: • Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave., • Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA)., • Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues., • Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes., • Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices., • Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions., • Contribute to refining processes, workflows, and playbooks for handling complex customer challenges., • Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches., • Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides., • Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives., • Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position, • At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles, • Proven hands-on work experience with Kubernetes, • Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration, • Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback, • Experience with observability tools such as Grafana, • Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes, • Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes, • Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences, • CKA Certified, • Demonstrated experience with training, coaching, and creating onboarding materials., • Operates in a fast-paced, global, 24/7 support team environment, • Ability to collaborate across different time zones, • On-site office environment, hybrid, or remote options depending on location, • You love to dive into problems, test for solutions, and enjoy engaging with customers., • You're curious about AI. 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 $122,000 to $163,000. 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 DescriptionFounding Engineer Location: New York, NY On-site | Full-time Compensation: $150K - $350K Our client is a high-growth, venture-backed startup on a mission to reinvent technical interviewing and transform the global $600B+ staffing industry. By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations. The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase. Backed by a $3.1M seed round from premier investors—including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool—the company has already surpassed seven figures in revenue. Their customer base includes dozens of enterprise staffing firms, including the largest staffing firm in the world. Our client is seeking a Founding Engineer to join a talent-dense team of seven hailing from institutions and companies such as Stanford, Penn, Waterloo, Retool, and MongoDB. This is a high-impact role for a builder who wants to own critical systems and define the technical standards for an entire industry. Key Responsibilities • Innovation in Evaluation: Define and build the new standard for technical interviewing, creating systems that retire outdated evaluation methods and provide high-fidelity talent assessments., • AI Implementation: Utilize AI and machine learning to detect fraud, identify complex patterns in candidate performance, and significantly accelerate the hiring lifecycle., • System Architecture: Design, develop, and maintain critical full-stack systems from the ground up, ensuring high performance and scalability., • End-to-End Ownership: Manage features and systems through the entire lifecycle—from initial concept and architectural design to deployment and monitoring., • Technical Proficiency: 4+ years of experience in modern full-stack development. Advanced proficiency in React, Node.js, and Python (or similar frameworks) is expected., • Infrastructure Knowledge: Experience managing cloud-native infrastructure within AWS, GCP, or Azure., • Startup Mindset: Demonstrated ability to thrive in a fast-moving, high-performance startup environment where ambiguity is common., • Coding Fundamentals: Highly technical with a strong bias toward code quality, security, and performance., • Founding Mentality: A desire to solve problems end-to-end and a willingness to take radical ownership over outcomes rather than just tickets., • Location: Ability to work on-site five days a week in the New York City office to foster high-bandwidth collaboration., • Build the Future: Join at the ground floor and play a pivotal role in shaping both the product and the company culture while solving complex, industry-wide problems., • Competitive Pay & Equity: Competitive compensation packages including significant equity ownership to ensure early hires benefit from the company's growth., • Comprehensive Health Insurance: Health insurance coverage provided for both the employee and their dependents., • Financial Wellness: A 401(k) plan is provided to help the team invest in their long-term financial future., • Onsite Benefits: Work from a Midtown Manhattan office with daily team lunches, dinners, and a fully stocked selection of snacks and beverages., • Quarterly Offsites: Opportunities to travel together every quarter to bond, brainstorm, and recharge as a team., • Early Impact: Join at a critical inflection point—past product-market fit, but before scaling takes over. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. About the Role We are looking for a Mobile Engineer to own our mobile experience across iOS and Android using React Native. This will be the first time many users interact with Fin, so your work will define how our product feels in the real world. You will turn messy real world payment flows into simple, intuitive interfaces, and help hide the complexity of crypto, wallets, and cross border settlement behind a smooth mobile experience. You will work closely with the founders and the rest of the engineering team, make foundational decisions about architecture and design, and ship features from idea to production. If you care about building delightful consumer products on top of serious infrastructure, this is for you. We value your time: our process focuses on practical system design and architectural discussions, not LeetCode grinding or unpaid take-home assignments. Responsibilities * Own the Fin mobile app across iOS and Android using React Native, from architecture to implementation and polish. * Design and implement flows that make sending, receiving, and managing money feel simple and trustworthy for everyday users. * Help design secure account and custody patterns that can scale to handle meaningful balances and real world usage. * Collaborate with design and product to prototype, refine, and ship new features quickly. * Maintain a high bar for code quality through thoughtful architecture, code review, and testing. * Work with backend and infra engineers to integrate APIs, payments, and identity or security features into the mobile app. Qualifications * 3+ years of experience building and shipping mobile apps in React Native. Deep familiarity with the Expo ecosystem and modern mobile build pipelines (EAS) is required. * Strong product sense and attention to detail in UI and UX, especially for consumer facing apps. * Solid understanding of mobile app architecture, performance, and offline or edge cases. * Ability to work independently, set priorities, and drive projects from idea to shipped. * Strong communication skills and comfort collaborating with design, product, and backend teams. * Interest in payments, fintech, or crypto. You do not need to be a chain maximalist, but curiosity about the space helps. Bonus Points * You have shipped an app from concept to production in a small team or as the primary developer. * Experience in EITHER traditional consumer fintech apps (neobanks, peer-to-peer payments) OR mobile crypto wallets (Solana, non-custodial, etc). * Experience with cloud platforms such as GCP or AWS. * Experience deploying smart contracts on Solana or integrating with blockchain based systems. * Background in security, threat modeling, or penetration testing, especially for consumer finance products. Compensation Range: $125K - $250K

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 Observability team builds and operates CoreWeave's logging, tracing, and metrics platforms, along with the high-throughput data pipelines that power them. This team enables both internal engineers and customers to monitor, troubleshoot, and optimize AI workloads running on GPU-dense infrastructure at massive scale. About the role: As a Software Engineer on the Observability team, you will design, build, and maintain scalable systems that process and surface telemetry data across distributed environments. You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices. Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure. You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior. Who You Are: • 2+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field, • Proficiency in at least one programming or scripting language (e.g., Python, Go), • Experience working with Kubernetes, containerization, and microservices architectures, • Experience participating in on-call rotations, including triaging and escalating production issues, • Experience operating observability platforms or databases (e.g., ClickHouse, Elastic, Loki, VictoriaMetrics, Prometheus, Thanos, OpenTelemetry, Grafana), • Familiarity with infrastructure-as-code tools such as Terraform, • Experience with modern testing frameworks and deployment strategies (e.g., canary, blue-green), • Experience with data streaming technologies (e.g., Kafka, Kafka Connect) 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 $109,000 to $145,000. 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.