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We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About the Job: LaunchDarkly is looking for an experienced Staff Engineer to play a key role in shaping the future of software delivery at LaunchDarkly at the intersection of Releases and Observability on the Guardian team. In a world where agents are delivering code faster and more reliably, releasing safely is no longer optional infrastructure; it’s a competitive advantage. The Guardian team is focused on making every release safer, faster, and more reliable. Our mission is to redefine how software is released: automating release processes, measuring the real-time impact of feature rollouts, and simplifying debugging when things go wrong. From automated release pipelines to metrics monitoring, error tracking, and fully automated rollbacks, our work ensures every code change is measured, and the entire release process from rollout to issue mitigation is managed for maximum efficiency and reliability. We are solving critical challenges in modern software delivery: reducing the time it takes to detect regressions, automating responses to minimize risk, and eliminating manual effort. We extensively use the products we build, allowing us to create our own ideal release process while shaping the developer experience for teams across the industry. If you’re interested in building the systems that help software teams ship safely at scale, we’d love to work with you. Responsibilities: * Prototyping / 0-to-1 innovation, lead the exploration and prototyping of new product concepts at the intersection of feature flags and observability, from integrations to new implementations. You'll operate with high autonomy to identify opportunities, rapidly validate ideas through proof of concepts, and define the technical direction for net-new product areas that expand Guardian's value. * Observability domain expertise and thought leadership, bring deep domain expertise in observability systems and apply it to reimagine how engineering teams understand the real-time impact of software changes. You'll serve as the team's resident expert on the evolving observability landscape, translating industry trends and customer pain points into concrete product prototypes that differentiate Guardian in the market. * Collaborate seamlessly with cross-functional partners (product, design, data science, and engineering) to architect and advance our observability products. Leverage your broad experience to facilitate strategic discussions that align technical solutions with business goals, ensuring the delivery of scalable and effective features. * Stay at the forefront of development trends, observability, and data-driven product evolution, bringing deep expertise to suggest and implement forward-thinking improvements in tools, processes, and methodologies. Your proactive involvement in continuous learning and improvement will help ensure the team remains competitive and cutting-edge in its approach to building user-focused products. * Proactively identify opportunities for product and user experience improvements, leveraging data insights and feedback to propose innovative, well-reasoned solutions. Lead the implementation of these enhancements, balancing user needs, business goals, and technical feasibility, ensuring each change drives meaningful improvements in engagement and performance. Qualifications: * 12+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features * Experience with observability systems, statistical analysis pipelines, and event-based metrics infrastructure. * Strong architectural understanding of data platforms, backend services, and cloud-native infrastructure. * Experience leading 0-to-1 product development, taking ambiguous problem spaces from exploration through proof of concept to validated direction. * Deep familiarity with the observability ecosystem (APM, distributed tracing, OpenTelemetry, error tracking) and an informed perspective on where it's heading. * Demonstrated ability to work autonomously with minimal direction, comfortable defining what to build, not just how to build it. * Excellent communication, collaboration, and interpersonal skills Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**, • Zone 3: All other US locations - $182,600 -$ 251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @___ email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit ___ directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to ___.

Transforming global food systems is key to tackling the climate crisis and protecting people and the planet. We believe a new and different type of transparency is needed to drive that change. That is why we built OpenSC - co-founded by WWF and The Boston Consulting Group. Our platform uses data directly from the source of our customer’s supply chains and analyses it to create direct actionable insights about sustainable & ethical production. Automated - Continuous - Granular - Immutable. This new type of transparency enables our customers to know, influence, and prove the sustainability of their supply chains. We are hiring for an experienced Senior Full Stack engineer to join our team and help build and scale our data-centric platform. In this role you will work closely on the following topics: Platform Design, Engineering Excellence & Scalability * Collaborate in the development of the OpenSC platform, working on distributed backend systems that support high-volume data processing. * Focus on designing and building secure, reliable and user friendly frontend features to enhance user experience by working closely with our product team. * Focus on quality and reliability by writing clean, well-tested code and ensuring operational stability through robust monitoring, logging, and fault tolerance. * Contribute to the development of a scalable architecture by applying industry best practices in system design, ensuring high availability and performance optimization. Innovation, Continuous Improvement & Collaboration * Promote agile practices and software best practices to support iterative product development and build effective solutions to real-world challenges. * Participate in brainstorming sessions and ideation phases, iterating on ideas and helping shape early-stage products by rapidly building Proofs of Concepts (POCs) in a lean and efficient manner with minimal resources and time. A generalist mindset, with a willingness to learn across multiple tech stacks and systems. * Solid backend and frontend exposure. Fluency in Python and a solid understanding of frontend technologies (preferably with ReactJS). * Experience designing scalable and reliable APIs and backend systems. * Hands-on experience with web application development. * Ability to balance user needs with business goals when developing impactful products. * Familiarity with cloud platforms like AWS, GCP, or Azure is beneficial. * Experience in SaaS environments, particularly B2B SaaS, is a plus. * Exposure to working with data products and data-centric companies is advantageous. * This is a remote position, but candidates must be based in Europe. Our tech stack: * We are cloud-native company and leverage AWS cloud and its services (e.g. EKS, RDS, S3, etc.). * Our APIs are historically built with Spring Boot (Kotlin), but we are looking to become Python-first in our tech stack. * Our data pipelines are orchestrated by Dagster (Python) with data stored in S3 and Postgres, and transformations written using dbt. * We build data applications in Plotly Dash (Python) and web applications in React.js. * We deploy our code using CircleCI and Github Actions and use terraform for infrastructure deployment.

It's a new day with a new opportunity at 8am! About the role: 8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: • Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions., • Design, implement, and integrate AI features into existing 8am products., • Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use., • Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers., • Write high-quality Python code to manipulate data, interact with large language models, and assess performance., • Develop tools and infrastructure to support reliable, scalable, and secure AI deployment., • Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them. About you: • 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend., • Proven track record of building and deploying production-ready AI/ML services., • Hands-on experience with LLM frameworks, platforms and related tooling., • Strong Python development skills and familiarity with data manipulation and evaluation workflows., • Experience building scalable data infrastructure and integrating models into broader SaaS systems., • Experience working in AWS cloud environments and with modern DevOps practices., • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation. Nice to Have: • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field., • Experience fine-tuning and optimizing Large Language Models (LLMs)., • Experience integrating AI into streaming or real-time data flows., • Background in Natural Language Processing (NLP)., • Exposure to fintech or the legal industry. Additional Information The annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: • Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees., • Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members., • Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents., • Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching., • Learning and Development: Continuous learning through ___, leadership programs, professional development funds, and individually focused talent development., • Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually)., • Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Claritas Rx is a venture-backed digital health startup that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace. In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial. Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights. Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare. We're hiring a Senior Full Stack Engineer to join our Management Apps team. You'll report to the Software Engineering Manager and work across the entire stack, building APIs and services on the backend while shipping polished, user-facing features on the frontend. This isn't a backend role with occasional frontend work or vice-versa. You'll be expected to move fluidly between both. This is a high-ownership role. You'll partner with Product Management, Architects, and engineers across teams to ship features that give biotech and pharmaceutical companies actionable clinical and business insights. Someone who doesn't just write code but shapes technical direction. Our Stack • TypeScript across the entire codebase, • Backend: NestJS, TypeORM, PostgreSQL, AWS DynamoDB, Zod, • Frontend: React 19, Vite, Tailwind CSS, Radix UI, TanStack Query, Zustand, React Hook Form, • Infrastructure: AWS (CDK, ECS, EC2, Aurora RDS, Cognito, S3, SES, SQS, EventBridge, Lambda, Secrets Manager), • Tooling: Turborepo, pnpm, ESLint, Prettier, Swagger/OpenAPI, Github Actions (status checks / deployments), • Testing: Jest, React Testing Library, Playwright, Testcontainers, • Integrations: Twilio, Tableau, Novu, • Monitoring & Observability: Sentry, CloudWatch, OpenFeature (feature flags), • Design and build APIs and services in our NestJS/TypeScript backend, including domain modeling, schema design, and service architecture., • Build and iterate on user-facing features in our React/TypeScript frontend, turning wireframes and product requirements into production UI., • Own features end-to-end: from understanding the problem with Product, through implementation on both sides of the stack, to production observability., • Ensure the delivery of high-quality, reliable, and maintainable software by implementing comprehensive automated testing across the full stack (frontend, backend, and integration layers), • Work within our AWS infrastructure and make informed decisions about service boundaries and cloud-native patterns., • Proactively identify and resolve production issues. You care about system health, not just shipping., • Mentor other engineers through code review, pairing, and architectural guidance. Requirement Skills: • 5+ years of professional software engineering experience, building web based, multi-tenant, commercial applications, • Strong engineering skills across the full stack in TypeScript. You've built and operated production-grade services and shipped production-grade UIs that real users depend on., • Experience with relational databases (PostgreSQL preferred), including schema design, query optimization, and migrations., • Proven ability to build effective UI in a modern React/TypeScript codebase. You're comfortable with component architecture, state management, and working with design systems., • AWS experience building and deploying cloud-native applications. Familiarity with our specific services (CDK, Cognito, Lambda, SQS, EventBridge, S3) is a plus., • Ability to navigate and debug across multiple layers of the stack (UI, services, databases, ETL pipelines), • You've worked in a monorepo or multi-service architecture and understand the tradeoffs., • You've shipped SaaS products and understand what it means to operate software, not just deploy it., • Strong written and verbal communication skills, with the ability to articulate technical decisions and collaborate effectively across teams., • You're comfortable with ambiguity and can make progress without perfect requirements. Preferred Skills: • Healthcare domain experience or familiarity with HIPAA/SOC/HITRUST compliance requirements., • Experience with infrastructure-as-code (AWS CDK, Tofu, Terraform, etc.)., • Experience leveraging AI tools like Claude to accelerate development workflows, automate repetitive engineering tasks, or integrate LLM capabilities into product features., • You've been through hypergrowth at a startup and know what that demands. We are seeking to add new expertise and perspective to our strong team of experienced professionals. We aspire to a culture of accelerated professional development through shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools. We are a highly collaborative team and prioritize opportunities to connect in person. For employees within a reasonable driving distance of each other, we host regional town hall gatherings approximately every other month. These sessions give our teams a chance to come together, share updates, and strengthen relationships beyond day-to-day work. In addition to our great environment, we offer a salary of between $140,000 and $160,000 and benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution. Please send a cover letter along with your resume when applying to the position of interest. Claritas Rx embraces diversity, equality, and transparency. We are committed to building a team that comprises a variety of backgrounds, perspectives, and talents. We believe the more inclusive we are, the better we are. Join us and discover what it feels like to be part of an environment that rewards ingenuity, risk taking and smart work. It's time to fall in love with what you do! At Claritas Rx, protecting our candidates is a top priority. If you're applying for a role with us, please note: • All legitimate opportunities are posted first on our official website. Check there before trusting external listings., • We believe in meaningful interviews: offers never come after just one phone call or form. Expect multiple video calls to get to know you., • We never ask for fees or payments of any kind during the hiring process., • Our People Operations Team will handle your onboarding, and all equipment comes directly from us—no purchases required. Learn more about how to spot recruitment scams and protect yourself - FBI warning: ___ Claritas Rx is committed to transparency, integrity, and a safe hiring experience for every candidate. Learn more: ___

Valon is transforming both mortgage servicing and consumer direct lending with a technology-first approach. Backed by Andreessen Horowitz (a16z) and managing over $130 billion in loans, we’ve built our platforms from the ground up—not on outdated legacy systems—so homeowners, lenders, and investors experience greater transparency, efficiency, and care. By unifying processes into a modern, AI-native operating system, we’re leading the way in automation, compliance, and continuous improvement across our servicing and lending businesses. Our mission is to empower every homeowner by making the mortgage experience simple, secure, and financially empowering. To achieve this, we bring together world-class engineers, servicing experts, lending professionals, and operations leaders who share a passion for improving the homeowner journey. We’re not only reshaping what servicing and lending look like today—we’re creating opportunities for talented people to help drive the future of the industry. As we continue to grow, Valon is expanding its footprint across multiple states, opening the door to exciting new roles and career paths. Joining Valon means becoming part of a fast-scaling company where innovation, collaboration, and customer impact go hand in hand. Mortgage is just the beginning—we’re building the future of regulated finance, and we want you to be part of it. We are seeking a Senior Analytics Engineer to take ownership of our external client reporting pipelines. This crucial role involves managing the layer of our data platform responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. This role sits at the intersection of engineering and analytics, ensuring data is production-grade, auditable, and easily accessible across the organization. You will own client reporting, standardize our data modeling practices, manage the orchestration of analytical workflows, and provide hands-on analytical support for high-stakes operational business functions, including reporting and performance management. * Client Reporting & Infrastructure: Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines. Collaborate with external clients and our internal client success team to effectively manage and triage inbound requests. Partner with Valon Technologies' data team to improve the underlying infrastructure for client reporting. * Data Modeling & Transformation: Design, build, and maintain the production-grade data models and analytical layers using our existing stack of dbt Cloud and Airflow to ensure reliability and structure at scale. * Data Governance & Quality: Partner with engineering and product teams to define and implement data contracts and observability frameworks (e.g., Great Expectations) to guarantee data quality and auditability for a regulated environment. * Analytical Support: Write complex SQL queries, build dashboards (in tools like Hex or Looker), and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance. * Compliance & Reporting: Own and fulfill third-party audit, exam, and regulatory reporting requirements, managing timelines and delivering clear, defensible outputs to clients and regulators. * Experience: 7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role, ideally at a mortgage servicer or financial institution (Series B–E startup experience is a plus). * Technical Stack: Expertise in SQL (required), strong proficiency in Python, and proven experience with core modern data stack tools like dbt and Airflow. * Communication: Communicate effectively with external clients, clearly synthesizing their requests, establishing realistic timelines, and proactively managing expectations, including pushing back when necessary to ensure successful outcomes. * Architecture & Quality: Deep understanding of data architecture patterns (e.g. medallion architecture) and experience implementing data quality frameworks, observability tools, or data contracts at scale. * Analytical Tools: Experience with data visualization tools (Hex, Looker, or equivalent) and proficiency in Google Sheets/Microsoft Excel. * Mindset: A strong product mindset, focusing on the usability, reliability, and developer experience of the data systems you build. * Problem-Solving: Proven ability to solve complex problems independently and build repeatable processes around novel situations. * Bachelor’s Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field. * Compensation: competitive salary and 401(k) plan * Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback * Generous time off: 17 days paid time off, sick days, and 11 company holidays * Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition Throughout the interview process, please remember that emails will only be from ___ email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – knowledge infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: * Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation * Design and build optimized indexing pipelines for structured and unstructured data * Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration * Improve retrieval quality through evaluation and observability frameworks * Design APIs for internal and external user and agentic consumers * Optimize latency, throughput and cost across large-scale inference and retrieval workloads * Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise * Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. * Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval * Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. * RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical * Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. * Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact * Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. * Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points * Experience building multi-tenant SaaS platforms. * Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. * Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: * Comprehensive health coverage including medical, dental, vision, and mental health resources * 401(k) Plan * Equity award * Flexible time off * Paid parental leave * Annual Company Retreat * WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create an end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, caregivers, home care provider agencies, and payers. We’re looking for a Sr. Full Stack Engineer who’s eager to think big and build products that make a difference, improving the experience of tens of thousands of caregivers and families. You’ll work across the full stack — from intuitive frontends to scalable backend services — diving into technologies like Go, Angular, PostgreSQL, Redis, SQS, Kubernetes, and GenAI tooling. This role is for thoughtful, driven builders who thrive on solving complex challenges alongside a talented team of engineers. You must value a ‘startup-like’ culture on a small but mighty team that unlocks rapid iteration cycles through a quick but thoughtful decision-making process. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Build the Foundation for Scalability: Drive the design, implementation, and maintenance of APIs and microservices that enable robust functionality and seamless integrations., • Excel in Full Stack Development: Gain hands-on expertise in frontend with Angular and backend with Go, while optimizing cloud infrastructure for efficient scaling., • Cultivate Mentorship & A Standard of Excellence: Mentor fellow software engineers, fostering a culture of collaboration, accountability, and technical excellence. Conduct code reviews, providing feedback to improve team efficiency and maintain quality coding standards, • Integrate Gen AI Innovations: Incorporate generative AI into our agency management software, boosting usability and efficiency to create intuitive experiences that users love., • Push the Envelope: Encourage exploration of new technologies, tools, and approaches to continually enhance our platform for better user outcomes., • Guide Strategic Decisions: Evaluate priorities, options, and tradeoffs to inform key development choices., • Collaborate with a Passionate Team of Peers: Work closely with product managers, designers, and stakeholders to gather requirements, align on objectives, and deliver features that exceed expectations., • Ensure Lasting Quality: Develop and maintain comprehensive unit and integration tests to uphold high standards of software reliability., • Love a challenge and want to learn fast by doing important work., • Are excited to touch every layer of the stack and see how software and infrastructure fit together end-to-end., • Have a bias toward ownership, creativity, and seeing results., • Thrive in a fast-paced, collaborative environment where no two days are quite the same., • Want the energy of a startup with the stability of a proven company., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel 5-10%, including overnight travel, domestic & abroad (US and other delivery locations), • 4-8 years of experience in software engineering roles building on modern architectures and frameworks, • Proficiency in one reactive JavaScript framework, such as Angular, React, or Vue, • Proficiency with backend-development, such as Go, NodeJS, or Python (Go experience strongly preferred), • Proficiency in PostgreSQL/MongoDB, • Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools, • Experience with high-performance SaaS solutions built on microservices and serverless architectures, • Excellent written, verbal, and interpersonal communication skills, • Strong analytical and problem-solving skills, • Flexible, team player, • Ability to organize and plan work independently, • Ability to work in a rapidly changing environment, • Knowledge of JIRA/Confluence is a plus, • Healthcare experience and familiarity with HL7 and FHIR interoperability standards is a plus The base salary range for this US-based, full-time, and exempt position is $140,000-160,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law. 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.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch 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.

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.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. 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.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$100,000—$120,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. 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:$288,000—$360,000 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: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • 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.

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. 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 goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems 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.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a highly skilled Service Engineer to support our Global Service network and contribute to building a world-class field engineering organization. This role requires flexibility to work in a data center and call center environment, providing technical support via phone and web to customers experiencing hardware and software issues. This position will be based in our office located in Jersey City, NJ. Includes the following essential duties and responsibilities (other duties may also be assigned): Why This Role Matters This position plays a critical role in ensuring customer satisfaction by providing timely and effective technical support. As a key part of our Global Service network, you will troubleshoot issues, deploy hardware solutions, and contribute to a seamless customer experience. Your expertise will directly impact the efficiency and reliability of Supermicro's service operations. What You'll Do • Provide frontline technical support to end-users via phone, email, and ticketing system., • Diagnose and troubleshoot hardware, software, and network-related issues., • Escalate complex problems to higher-level support teams when necessary., • Perform physical installation, rack and stack, cabling, and networking of data center hardware., • Assist in the deployment of server, storage, and networking equipment., • Monitor and maintain data center infrastructure to ensure optimal performance and uptime., • Perform regular maintenance and upgrades on data center hardware and software., • Collaborate with data center staff to address and resolve technical issues., • Conduct quality checks and test system functionality post-installation., • Work with internal teams to gather client requirements and provide technical expertise during the post-sales process., • Coordinate with the engineering team to ensure seamless integration of hardware solutions., • Ensure compliance with data center policies and procedures., • Document and report data center activities and incidents., • Travel up to 50% of the time to customer sites and data centers., • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering; or an Associate's degree in Electrical/Electronics Engineering with equivalent relevant experience., • 1+ year of experience in servicing complex X86 systems and parts., • 1+ years of experience in a customer support role., • Strong hardware system diagnostics skills and understanding of BIOS, drivers, and application-related issues., • Ability to troubleshoot, problem-solve, and make decisions in a fast-paced environment., • Experience with statistical Excel functions or database management., • Ability to manage multiple cross-functional projects concurrently in a rapidly changing environment., • Hands-on experience with enterprise-grade server hardware., • Strong verbal and written communication skills with an emphasis on technical communication., • Punctual, detail-oriented, and proactive in driving solutions., • Experience working in large enterprise environments or certifications in Windows and Linux., • Must have a valid driver's license and a reliable automobile., • Ability to lift/carry at least 50 lbs, • Capable of standing for extended periods to troubleshoot and repair equipment in a noisy environment (approximately 20% of the time) Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location. $70,304 - $90,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

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.

We are seeking a highly skilled Infrastructure Security Engineer to join our team. This role is integral to ensuring the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture. You will: • Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP)., • Implement and maintain robust security configurations and policies for cloud environments., • Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement., • Develop and enforce security best practices for infrastructure automation and orchestration., • Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle., • Review and secure infrastructure as code (e.g., Terraform, CloudFormation)., • Educate and mentor team members on infrastructure security best practices and emerging threats. Ideally, you'd have: • Proven experience as a Security Engineer with a focus on product security., • Proficiency in NodeJS, TypeScript, and Kubernetes., • Experience with orchestrating and securing GPU clusters., • Proficiency in infrastructure as code tools such as Terraform and CloudFormation., • Excellent communication skills, with the ability to clearly explain technical concepts and their implications to both technical and non-technical stakeholders., • Demonstrated ability to influence security strategies and drive improvements within an organization., • Relevant security certifications (e.g., AWS Certified Security Specialty, Certified Cloud Security Professional) are a plus. 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.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 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.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note for NJ candidates: This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience in regulated industries (e.g., Property & Casualty insurance) preferred. Nice to Have • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $130,000.00 - USD $168,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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. We are looking for a DX Engineer, Education to join our Developer Experience team as a founding member of Vercel Academy. You'll partner with our Head of Education to teach millions of developers globally. This role uniquely combines platform engineering, curriculum development, and content creation using our custom git-like CMS where human educators and AI collaborate. You'll have significant ownership over both the technical architecture and educational content that will define how developers learn modern web development. You will report to Joel Hooks, Head of Education. 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. • Co-architect Vercel Academy's technical platform and content strategy, building scalable systems for course delivery, progress tracking, and certification, • Create flagship courses for React, Next.js, and Vercel's platform while establishing quality standards and repeatable processes for content at scale, • Contribute to our content engine—a CLI-first system with version control, AI-assisted workflows, and seamless authoring experience, • Lead curriculum development from fundamentals through advanced topics, ensuring every lesson teaches through building real applications, • Partner with CS, GTM, and product teams to integrate education into Vercel's customer journey and enable our certification program, • Pioneer human-AI collaboration in technical education, implementing workflows where AI agents help maintain and improve content quality, • 8+ years building production web applications with deep expertise in React, Next.js, and the modern web ecosystem, • Proven track record creating developer education at scale—courses, content platforms, or learning programs reaching thousands, • Engineering skills to build and maintain educational infrastructure, from CLIs to APIs to content management systems, • Exceptional technical writing and the ability to make complex concepts accessible through practical examples, • Self-directed with extreme ownership mentality—you ship without waiting for permission, • Passion for empowering developers and ideas about the future of technical education, • Have built your own developer education business or learning platform, • Experience with MDX, content authoring systems, or git-based workflows, • Published courses on Next.js/React or maintain significant educational resources, • Background in engineering leadership or managing technical teams, • Active in the developer community through YouTube, newsletters, or conferences, • 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 $144,000.00 - $216,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. 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.

We’re looking for a Senior Software Engineer who builds with AI as a core part of their workflow, not as an afterthought. In this role, you’ll work directly with founders and executive leadership to take new ideas from zero to one at AI-accelerated speed. You should be comfortable working across the stack, moving quickly from idea to working software, and using AI-assisted development tools (Claude, Cursor, etc.) to dramatically accelerate your output. This isn’t about prompting a chatbot. We want someone who understands how to decompose problems, architect solutions, and use AI tooling to handle the tedious parts so they can focus on the hard parts. You should have strong engineering fundamentals, the judgment to know when AI-generated code is good enough and when it needs a human eye, and the ability to navigate the ambiguity that comes with building something that doesn’t exist yet. For San Francisco-based area candidates, this would be a hybrid role with 2-3 days in office at our Morgan Hill, CA office for collaboration. • Take new ideas from 0 to 1 by building innovative prototypes, validating them quickly, and shipping the ones that work, • Work directly with founders, executives, and engineering leadership to identify high-impact opportunities and turn them into working software, • Use AI-assisted development tools daily as a force multiplier by writing, reviewing, and refactoring code faster without sacrificing quality, • Work across the stack as needed. Frontend, backend, etc, • Engage directly with customers to understand their problems and validate that what you’re building actually solves them, • Collaborate closely with product managers and designers in a small-team environment where your input shapes direction, not just implementation, • Contribute to the team’s tooling and workflows, helping us get better at building software quickly and reliably, • Operate with a high degree of ownership and autonomy. You won’t be waiting around for detailed specs; instead, you’ll be helping define what gets built, • Minimum of 5+ years of professional software engineering experience, • Strong fundamentals in at least one modern language (TypeScript, Python, Go, etc.) and genuine comfort working across the stack, • Demonstrated use of AI-assisted development tools in your daily workflow, not just experimentation, but real integration into how you build software, • Experience taking products or features from concept to production in environments where the path wasn’t fully defined, • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. What you’ve built matters more than where you studied, • Ability to move fast and make pragmatic trade-offs, • Solid understanding of web technologies, APIs, and cloud infrastructure, • Experience with React and TypeScript is a strong plus, given our stack, • Good instincts for code quality, testing, and knowing when “good enough” is actually good enough, • Comfortable talking to customers and translating their needs into technical solutions, • Comfort with ambiguity and fast-changing priorities. You thrive when given a problem, not a prescription, • You’ve taken something from zero to one a product, a feature, a prototype, and can talk about how you navigated the ambiguity to get there, • You’ve built internal tools, automations, or workflows using AI that made your team meaningfully faster, • You can talk concretely about how AI tools change the way you architect, debug, or review code, and not just that you use them, • Experience with LLM APIs, prompt engineering, or building AI-powered product features, • You’ve shipped production software in a startup or fast-moving environment, • Background in SaaS, vertical software, or products serving SMBs In the United States, the range is typically a salary of $175,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included. Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status: • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date, • Short term and long term disability, • Employee assistance program, • Reimbursement for a personal health and wellness membership, • Generous parental leave, • 401(k) available upon hire, • 11 paid holidays, • Flexible time off - take the time off you need!, • Matching donations for approved charitable organizations, • Group volunteer efforts Check out our ___, ___, or ___ about what it’s like to work at Shopmonkey. Join our team of ___ who love what they do, and change the auto industry by helping every shop thrive. The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience. Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform. Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B. In 2021 Shopmonkey ___ a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth. In 2022, Shopmonkey ___ #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in ______, and 2025! Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission. Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at ___. Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for: • Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications., • Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer., • While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s ___ page, or our official ___ The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from ___ and ___. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Eisai's Global Digital Business Transformation Team (GDBT) is looking for a motivated summer Intern to support AWS Cloud Optimization. The Intern will learn to review, analyze, and recommend optimization approaches to enhance overall cloud infrastructure services while reducing overall cost of ownership of all Cloud services and maintaining the cloud environment secure and protected from internal and external security threats. Moreover, in this role, the intern will have the opportunity to learn Infrastructure as a Code practice while helping to transition legacy and manual deployed cloud workload to Terraform code. Additionally, the intern will be exposed to learn methods to re-platform legacy solutions to Cloud Native services while we look to extend the migration of additional applications from on premises to the cloud. What You'll Do • Work with Cloud Architects and Engineers to determine cloud optimization opportunities, analyze resource utilization stats, identify overutilized resources, provide and implement recommendations to enhance the delivery of cloud services., • Work with Cloud Security engineer and operation resources to identify critical security items impacting the cloud ecosystem and work with BRMs and ITSOs to schedule time to remediate the security findings., • Complete review and analysis of all deployed Cloud Services to identify manually deployed services. Collaborate with Cloud Engineers to transfer the manually deployed services to Terraform Code, • Work with the Datacenter Operation Team and collaborate with ITSOs and BRMs to identify legacy applications that can be re-platformed and migrate to the cloud, • Work with Cloud and Infrastructure teams to become familiar with routine Cloud, Datacenter and Overall infrastructure Operation Management, • Work on special projects as assigned, including new Cloud Service Deployment and adoptions of GenAI in Cloud Operations., • Currently enrolled in a bachelor's or graduate degree program at an accredited academic institution in a relevant field (Information Systems Management, Computer Science, Data Science, or related discipline), • AWS Cloud Practitioner, • Code Development/Scripting, • Ability to explain complex or technical topics in plain language, • Strong organizational skills, • Solid analytical and critical thinking, • Eligible to work in the United States, • Must be a rising junior or senior, • Ability to work onsite at our Nutley, NJ office three days per week (Tuesday-Thursday), • Local candidates preferred due to the onsite requirement Eisai Salary Transparency Language: The hourly rate for the IT Intern, Cloud and Infrastructure is : $25. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Title: Lead Solutions Engineer - Data Marketplace Duration: 6 months Location: Hybrid in Washington, NJ (3 days onsite per week) Role Summary We are seeking a Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities. This role is hands-on and cross-cutting, requiring the ability to architect solutions both within Informatica-including metadata, catalog, integration, governance, data quality, and automation capabilities-and outside of Informatica, integrating with cloud platforms, data engineering ecosystems, analytics tools, and AI-enabled services. The role requires broad technical depth, strong architectural judgment, and a focus on building automated, scalable, and resilient integrations. You will partner closely with product managers, platform teams, data engineers, security, governance, and business stakeholders to evolve the data marketplace and supporting enterprise data services. Key Responsibilities Solution Architecture & Design • Architect end-to-end data marketplace and data platform integrations spanning Informatica products and non-Informatica enterprise tooling., • Design scalable, secure, and reliable architectures with an automation-first and integration-by-design mindset., • Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases. Informatica Platform Enablement, • Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services., • Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions., • Partner with Informatica product and professional services teams to close functional gaps, extend platform capabilities, or enable bespoke integrations when required. Automation & Integration Engineering, • Design and build automated integrations across Informatica and enterprise platforms using APIs, events, workflows, and orchestration frameworks., • Enable automation across the data product lifecycle, including onboarding, metadata synchronization, lineage propagation, access provisioning, and de-provisioning., • Build reusable integration components and automation frameworks that reduce manual effort and improve reliability and consistency., • Apply infrastructure-as-code, configuration-as-code, and workflow automation patterns where appropriate. Marketplace & Platform Development, • Lead the design and evolution of internal data marketplace services, APIs, and supporting platform components., • Build and validate proof-of-concepts to de-risk architectural decisions and demonstrate business and platform value., • Support platform extensibility for future use cases, including analytics enablement, AI/ML workflows, agent-driven consumption, and governance integrations. Cross-Functional Collaboration, • Translate business, governance, and platform requirements into automated, implementation-ready technical designs., • Collaborate with data engineering, cloud engineering, security, and governance teams to ensure alignment with enterprise standards., • Act as a technical bridge between platform teams, marketplace consumers, and external vendors. Engineering Excellence & Leadership, • Establish and promote best practices for solution design, automation, performance, security, observability, and reliability., • Provide technical guidance and mentorship to engineers across marketplace, platform, and integration initiatives., • Participate in architectural reviews, technical decision-making, and roadmap planning. Required Skills & Qualifications, • 6+ years of experience designing and delivering enterprise-grade solutions in distributed, cloud-based environments., • 3+ years of hands-on experience architecting and implementing solutions using Informatica platforms, including data integration, metadata management, data catalog, governance, data quality, and automation., • 3+ years of experience in cloud platforms (e.g., AWS, Azure, or equivalent), designing and integrating data and platform services in cloud-native or hybrid environments., • 3+ years of experience in automation and systems integration, including API-based integrations, workflow orchestration, and event-driven architectures., • Demonstrated ability to design solutions that span multiple systems and vendors, not confined to a single platform., • Experience taking solutions from concept and prototype through production in complex enterprise environments., • Strong problem-solving skills with the ability to operate effectively in ambiguous, evolving problem spaces., • Excellent communication skills, with experience explaining complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications, • Experience with data marketplaces, data products, or enterprise platform enablement initiatives., • Familiarity with governance, access control, metadata, lineage, data contracts, or policy-driven automation., • Experience integrating analytics platforms, semantic layers, or AI/ML workflows with data platforms., • Prior experience in a solutions engineer, platform architect, or technical lead role., • Strong interest in automation, developer enablement, and continuous platform improvement.

Job Title: AWS Data Engineer Duration: 7 months (Possibility of extension) Location: Hybrid (Newark, NJ) Job Summary: We are seeking an experienced AWS Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Key Responsibilities: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Troubleshoot complex data issues and provide technical leadership in problem resolution. Required Qualifications:, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • Excellent problem-solving, communication, and organizational skills. Preferred Qualifications:, • AWS Solutions Architect or AWS Data Engineer certification., • Experience with real-time streaming technologies., • Knowledge of data governance, compliance, and security best practices., • Familiarity with Lakehouse architecture and modern data platforms.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. ___, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. About the Role: We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. Responsibilities: • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments, • Periodic on‑call shifts during business hours focused on incident response and operational support for team‑owned services, • Provide support and troubleshooting to internal customers, • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems, • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure, • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability, • Mentor engineers and elevate technical standards across design, implementation, and operations Competencies: • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions, • Strong proficiency with Python or another modern object-oriented programming language, • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc., • Experience building intuitive, extensible, well-documented APIs, • Strong understanding of CI/CD concepts, tooling, and engineering workflows, • Experience managing technical infrastructure across cloud-based and bare-metal environments, • Experience with observability, telemetry, and monitoring platforms such as Datadog, • Experience with containerization and orchestration technologies such as Docker and Kubernetes, • Strong troubleshooting skills, including real-time debugging and deep log-based analysis, • Experience with performance analysis, operational metrics, and system reliability practices Qualifications: • Bachelor’s or Master’s Degree in Computer Engineering, Computer Science, or a related technical field, • 6 or more years of relevant industry experience Nice to Have: • Experience with hardware in the loop test automation for embedded, robotics, or vehicle platforms, • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies, • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102501 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

About the role We are looking for a Site Reliability Engineer to join our Platform SRE team. In this role, you will build and operate the infrastructure, tools, and "paved roads" that empower our developers to deliver scalable, secure, and reliable software with speed and confidence. You’ll work across the entire stack—from infrastructure automation and observability to developer enablement and system reliability. You will be a key collaborator with software engineering and security teams, helping to evolve our Infrastructure as Code (IaC), enhance CI/CD pipelines, and scale our internal developer platform. We value pragmatism and engineering excellence, primarily using Python, Go, and AWS to reduce toil and build self-service capabilities. Responsibilities • Infrastructure Automation: Design, build, and scale production environments using AWS and Terraform., • System Reliability: Improve the resilience and operability of our platform through failure-based testing and automated recovery strategies., • Developer Enablement: Design and implement reusable platform components and self-service tools to streamline the developer experience., • Observability: Implement and maintain robust observability practices, including system metrics, distributed tracing, and SLO management., • Mentorship & Standards: Guide junior engineers, uphold high infrastructure quality, and contribute to the team’s evolving best practices., • Collaboration: Participate in technical design discussions, sharing feedback and adapting strategies based on team input and evolving requirements. Skills and Qualifications • Experience: 4+ years in SRE, DevOps, Cloud Engineering, or Software Development roles., • Cloud Proficiency: Hands-on experience operating and scaling production environments within AWS., • Infrastructure as Code: Strong expertise with Terraform for managing complex cloud infrastructure., • Programming: Proficiency in Go or Python, with experience building production-grade automation, tooling, or libraries., • Containers & Orchestration: Experience with ECS or Kubernetes., • CI/CD: Familiarity with modern deployment tools, specifically GitHub Actions., • Communication: Strong written and verbal skills with a knack for evangelizing reliability best practices across the organization. Bonus Points • Experience troubleshooting complex distributed systems in a high-traffic production environment., • Exposure to event streaming systems such as Kafka or Kinesis., • Experience contributing to Internal Developer Platforms (IDP) or automating self-service infrastructure workflows., • Familiarity with systems security, compliance requirements, or infrastructure hardening. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $110,900/year in our lowest geographic market up to $163,350/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks 100% medical, dental and vision coverage Flexible PTO policy Annual home office stipend and WeWork access Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)! Competitive compensation and opportunity for advancement

We are seeking a skilled and motivated Full-Stack Engineer to design, build, and maintain end-to-end healthcare applications that power Value-Based Care workflows. The ideal candidate is comfortable working across the stack—from React-based user interfaces to Python backend services—and has experience building reliable, long-running workflows using tools like Temporal.io. You will play a key role in shaping scalable, resilient systems used daily by healthcare teams. Full-Stack Application Development • Design and develop user-facing applications using React and modern front-end tooling., • Build and maintain backend services using Python, focusing on scalability, reliability, and performance., • Design and implement durable, fault-tolerant workflows using Temporal.io., • Model and manage long-running, stateful healthcare processes (e.g., care gaps, quality measures, documentation workflows)., • Ensure system resilience, observability, and graceful failure handling in distributed systems., • Work with healthcare data and workflows while adhering to security and compliance requirements (e.g., HIPAA)., • Integrate with healthcare standards and systems such as FHIR and interoperability APIs., • Contribute to production-ready systems with strong testing, monitoring, and deployment practices., • Collaborate on CI/CD pipelines and infrastructure supporting cloud-based deployments., • Work cross-functionally with engineers, product managers, designers, and clinicians., • Communicate technical concepts clearly to both technical and non-technical stakeholders., • Take ownership of features from concept through production and iteration., • Strong experience building full-stack applications with Python on the backend and React on the frontend., • Experience designing and consuming RESTful APIs (or GraphQL)., • Familiarity with distributed systems and asynchronous processing., • Solid understanding of software engineering best practices, including testing, code reviews, and documentation., • Ability to work independently in a fast-paced startup environment., • Hands-on experience with Temporal.io or similar workflow orchestration systems., • Experience working in healthcare or regulated environments (HIPAA familiarity a plus)., • Knowledge of healthcare data standards such as FHIR or HL7., • Experience with cloud platforms (AWS, GCP, or Azure)., • A highly personalized, bold, and hilarious “Keebler Health–style” introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we’re building something real., • Competitive salary and benefits package., • Opportunity to work in a fast-paced, mission-driven startup environment., • Significant ownership and influence over product and technical direction., • Professional growth and learning opportunities in healthcare and distributed systems., • Collaborative, supportive team culture., • Chance to make a meaningful impact on the healthcare industry.

Full-time Description ConnectOne Bank proves that putting people first is a better way to do business. At ConnectOne, we’re builders — of businesses, communities, and equity. Most importantly, we’re building opportunities. Our mission is to ensure our employees feel empowered to make important decisions, reach their potential and truly make an impact. ConnectOne is a growth organization by design; it is part of our DNA and we take pride in seeing our employees grow with us. Founded in 2005 by an entrepreneur, we have grown into a high-performing commercial bank, inspiring a new model for our industry’s future. By embracing technology and all the ways it can help us become a world-class service organization, we support small business owners by fueling their mission. People First is the blueprint for our culture. It is at the foundation of everything we do and the decisions we make. At ConnectOne, you have the opportunity to be a part of a dynamic culture and team. Develop your forward-thinking skills, thrive in an entrepreneurial setting, and succeed at “a better place to be”. ConnectOne Bank is an Equal Housing and Equal Opportunity Lender, and a member of the Federal Deposit Insurance Corporation. The Senior Data Engineer is the primary architect and builder of our data infrastructure. The purpose of this position is to design, develop, and maintain highly scalable data pipelines, robust data models, and a secure data warehouse. Operating primarily within an AWS ecosystem, this role ensures the reliable acquisition, transformation, and storage of critical business data to empower advanced analytics across the organization. • Support the Bank’s “People First” focus and rules of engagement—maintaining a professional demeanor, working as an active member of the CNOB team, providing clients excellent service, always striving to make CNOB “A Better Place to Be”, • Architect, build, and maintain data pipelines using Apache Airflow, ensuring seamless data movement across AWS S3 and Amazon Redshift., • Design and implement scalable data models using dbt Labs, transforming raw data into clean datasets optimized for analytical querying., • Facilitate the setup of new data sources, designing the architecture to securely and efficiently ingest data from third-party APIs, transactional databases, and external platforms into the data lake/warehouse., • Maintain a deep understanding of the underlying data model to troubleshoot bottlenecks, optimize Redshift query performance, and implement rigorous data quality testing and alerting., • Serve as a subject matter expert on data architecture, establishing best practices for code reviews, version control, and CI/CD workflows within the data engineering team., • Strong “People First” interest and ability., • Comprehensive understanding of cloud computing principles and cloud-native data architectures, specifically within the Amazon Web Services (AWS) ecosystem., • Deep knowledge of modern data warehousing concepts, including schema design and data modeling methodologies., • Understanding of data governance, data privacy regulations, and enterprise security best practices., • Expert-level proficiency in SQL and Python., • Hands-on mastery of dbt Labs, Apache Airflow, Amazon Redshift, and AWS S3., • Strong proficiency with version control systems (Git/GitHub) and command-line interfaces., • 7+ years of progressive, dedicated experience in Data Engineering, Data Architecture, or a heavily overlapping software engineering field., • The ability to quickly dissect complex pipeline failures, identify root causes in underlying data, and implement permanent solutions., • The aptitude to listen to non-technical stakeholders, understand their analytical needs, and translate those needs into technical data structures., • The capacity to thrive in a remote work environment, managing time effectively, and driving large-scale projects from conception to deployment with minimal oversight., • A natural meticulousness required to ensure absolute data accuracy and system reliability., • World class health, vision, and dental benefits on day one, • 401k with employer match, • Hybrid work from home (depending on role), • Employee appreciation events (team building, softball games, food truck days, etc..), • Employee assistance programs (EAP), • Wellness programs (flu shot, preventive care, health programs and services discounts, etc..), • Tuition reimbursement, • Employee Discount perks Studies have shown that individuals from underrepresented groups, may only apply to roles if they meet 100% of the qualifications. Roles evolve over time, especially with innovation, and you may be just the person we need. We hope you're open to learning new skills and growing with us. We encourage you to apply to continue making us “a better place to be!” ConnectOne Bank is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law. ConnectOne Bank also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition. Salary Description $160,000 - $180,000

Location: Remote-friendly. Preference for SF Bay Area, Los Angeles, NYC, or Pacific Northwest. Sleeper is on a mission to connect people over sports through games and community. As one of the fastest-growing platforms in the fantasy sports and real-money gaming space, we’re redefining how sports fans engage—whether it’s through season-long leagues, pick’em contests, or real-time interactions with friends. Our team is lean, passionate, and product-driven. We obsess over user experience and believe that building delightful, fast, and reliable products is the best way to grow. Backed by some of the most respected investors in Silicon Valley, including Andreessen Horowitz and General Catalyst, we're building the future of sports engagement. We’re looking for a Staff Software Engineer - Backend to help us scale the core systems behind our fantasy sports and DFS (Daily Fantasy Sports) offerings. In this role, you’ll drive architectural decisions, build critical backend services, and mentor fellow engineers as we scale to support tens of millions of passionate sports fans. As a senior technical leader, you’ll collaborate cross-functionally to bring innovative features to life—from real-time contest engines and game logic to personalized content and secure, seamless payments. You’ll be empowered to own major parts of the backend stack and help define what "great" looks like in terms of performance, scalability, and reliability at Sleeper. * Design and build core backend systems that power Sleeper's games and real-time user experiences—fantasy contests, Sleeper Picks, user profiles, leaderboards, and more. * Architect scalable, distributed systems capable of handling millions of concurrent users with low latency and high availability. * Lead backend initiatives from concept to deployment, ensuring clean interfaces, well-documented services, and resilient infrastructure. * Optimize system performance and proactively address bottlenecks through monitoring, profiling, and capacity planning. * Collaborate cross-functionally with product, design, and frontend teams to deliver features that users love. * Mentor engineers, provide thoughtful code reviews, and shape backend engineering best practices and standards. * Drive innovation, technical direction, and team culture as a key engineering voice at the leadership level. * 7+ years of backend software engineering experience, including experience in staff-level or tech lead roles. * Proven ability to design and scale distributed systems that serve millions of users in real-time or gaming environments. * Strong proficiency in one or more backend languages (e.g., Go, Python, Node.js, Java), and an understanding of trade-offs between them. * Deep knowledge of databases (both SQL and NoSQL), caching strategies, and message queues (e.g., Kafka, RabbitMQ, Pub/Sub). * Comfortable designing and maintaining RESTful and/or graphql APIs, data models, and internal tooling. * Cloud experience (AWS, GCP, or similar), with familiarity with containers (Docker) and orchestration (Kubernetes a plus). * Strong product mindset—you care about the why, not just the how, and you build with users in mind. * Excellent communication and collaboration skills. You elevate your teammates and enjoy mentoring. * Bonus: Passion for sports, gaming, or building multiplayer or real-time systems. * Massive Impact – Your work will touch millions of users and help shape the next generation of sports entertainment. * High Ownership – We trust our engineers to make high-leverage decisions and drive meaningful outcomes. * Startup Agility – Move fast, ship often, and see your work in the hands of users quickly. * Culture-First Team – We’re a team of builders, thinkers, and sports lovers who value humility, collaboration, and having fun along the way. * Competitive salary ($225,000–$300,000/year not inclusive of stock options and benefits) * Equity * Comprehensive medical, dental, and vision insurance * 401(k) with company matching * Generous PTO and flexible remote work policy * Opportunities for fast career growth in a high-impact role * A small, focused team where your contributions truly matter Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary plus benefits including Medical, Dental, PTO, 401k. Please note that The salary range for this role ($225,000 to $300,000 per year salary) takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at:___

Stream powers chat & video for many large apps like Strava, Nextdoor, Patreon, IBM, Adobe and Midjourney. For video we’ve built our own Go/Pion based SFU and a network of edge servers around the world. We are looking for a WebRTC SFU Engineer to join our team and work on the SFU. The goal is to raise the bar on the developer experience and make it much easier to add real time audio/video to any application. We are also expanding into AI integrations for realtime audio & video. US-based (preference for Boulder or nearby locations), Toronto (Canada) or similar timezones. Stream has a 10 week internal Go onboarding program, prior experience with Golang is not required. Hybrid policy: applicants based in the Netherlands or relocating here, are expected to work in the office in Amsterdam 3 times per week. Exemptions may apply to specific cases. * Work on the core API of our video product, include the SFU and our media pipeline used for WHIP/WHEP/RTMP and other protocols * Technologies you will work with: Golang, WebRTC, RTMP, SRT, HLS, protobuf, SVC codecs, Opus, bandwidth negotiation * Improve performance and build new features of our SFU server * Work on our edge infrastructure and improve its stability and feature-set * Build new features to support existing and upcoming audio/video technologies (eg. AI, WHIP, SRT, WHEP, …) * Video SFU, interesting Golang challenge * High scale/ difficult engineering, we have customers using our products with millions of users * Strong engineering culture. Engineering is what makes us succeed * Default alive. Startup growth opportunity with healthy revenue * All managers are hands on and capable engineers * Edge network of servers around the world * Great opportunity to learn and grow * We raised $58M from leading VCs (Felicis Ventures, Notable Capital, 01.Advisors, Techstars, Arthur Ventures), including backers like Dick Costolo (01 Advisors, ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (Co-Founder of GitHub), Nicolas Dessaigne (Co-Founder of Algolia) In addition to Go we use CockroachDB/Postgres, RocksDB, Raft and Redis. Solid engineering experience and motivation to learn is more relevant than prior experience with the language. Roles open from entry level to director/principal engineers. To get a feel for what we do you can have a look at our API tour: tour: ___ This role requires at least 2 years of backend/low level WebRTC experience. Bonus points for: * Experience with Go * Scalability/database/Redis experience * Experience with SDK development/ React/Swift/Compose etc. * Experience with AWS or other cloud provider * Python (our AI runs on Python) and Rust experience * Message queues experience * Full text search experience * Bachelor's degree in Computer Science, Engineering or a related field Stream employees enjoy some of the best job benefits in the industry: * A team of exceptional (and friendly) engineers * Company equity * The chance to work on OSS projects * 28 days paid time off plus paid Dutch holidays * A pension scheme * A Learning and Development budget * Commute expenses to Amsterdam covered or the option to use a company bike within the city * Fitness stipend * Monthly in-office chair massages by a professional * MacBook Pro * Healthy team lunches and plenty of snacks * A generous relocation package * An office in the heart of Amsterdam Note: this list of job benefits applies to Netherlands-based employees and is adjusted per your location of residence. Salary (for Colorado only): Our salary ranges are based on national averages. We have wide ranges so we can be flexible and determine compensation based on a number of factors including the candidate's skills, level of experience, and location. For Colorado-based candidates, the salary range for this position is $146,500 -$205,300. Compensation at all other locations will be based on the factors as stated above. Stream has a casual social culture, our team is diverse and we all have different backgrounds. Now, Stream is a team of over 120+ peers from over 35 countries across the globe. We value transparency, aim for excellence, and support each other on our way to new victories. Our team consists of the strongest talents worldwide, making Stream a great place to learn and improve your skills. When it comes to software engineering jobs, our culture is oriented towards ownership and quality: our goal is to deliver stable software. If you are interested in becoming a part of what we do, apply for this vacancy now!! Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy. Equal opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Note for external recruiters: We currently have this role covered and do not accept unsolicited agency resumes. We are not responsible for any fees related to unsolicited resumes.

We are looking for a confident IT Infrastructure Engineer who has demonstrated experience engineering and maintaining environments and resources in cloud environments, leveraging industry best practices and toolsets. Provision and manage resources using Infrastructure as Code (IaC) methodologies.

Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. AWS Certified CloudOps Engineer - Associate or equivalent certification is highly desired. We specialize in agile software development, cloud and data services, and the creation of innovative, homegrown products.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy. This role focuses on using our own software to better understand our customers and how they use our products. In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem. You’ll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: • Build and manage a high quality data lake to support various aspects of Startburst’s business, including product management, finance, customer support, and engineering., • Find innovative ways to use Trino and Starburst to solve data management challenges, • Collaborate with technical leads, product managers and data analysts to build robust data products and analytics, • Leverage AI to democratize access to datasets for users throughout Starburst., • Enable dataset preparation and model evaluation for Starbursts’ AI projects, • Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions, • Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels, • Envision innovative approaches to data management and work with Starburst’s product teams to bring those innovations to market. Some of the things we look for: • At least 7 years of data engineering experience, and a clear passion for data and analytics, • Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data, • Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks., • Experience managing data infrastructure in public clouds., • Experience using and managing orchestration frameworks such as Apache Airflow or Dagster., • Knowledge of RAG and other design patterns for AI applications, • Fluency in SQL, • Experience building API integrations for extracting data from third party sources., • Excellent coding ability in Java, Python or Scala., • Knowledge of data modelling techniques which are appropriate for modern data lakes, • Experience with a variety of AWS services such as EMR, EC2, S3, and IAM. Multi-cloud experience (GCP/Azure) is also nice to have., • Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible., • Demonstrable experience in delivering value and hitting deadlines consistently, • Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review, • Highly proficient in both written and verbal communication, coupled with strong organizational abilities Where could this role be based? Remote, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $227,850 - $278,250 USD All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Remote #BI-Remote

At SentinelOne, we’re transforming the developer platform to offer a unified developer experience. To help us achieve that, we’re seeking a Senior Staff Software Engineer for a new key role that will drive this transformation and define the next generation of our platform. • This is a high-impact role, where you’ll undertake an ambitious initiative to design and implement secure, scalable, reliable Developer Platform APIs built using modern technologies and approaches. This Developer Platform sits on top of our Infrastructure Platform, and its APIs must provide both a unified, customer-friendly developer experience and internal infrastructure service protection., • You’ll need strong experience with Developer Platform fundamentals, including designing and developing infrastructure platform services that enable scalability, efficiency, and ease of use for internal developers. You should also bring deep proficiency with CI/CD pipelines and tools at a large scale, as this role will shape how services are built, deployed, and managed across SentinelOne., • Strong ownership – In this role, you will work with multiple engineering and PM leaders and teams across the SentinelOne engineering organization on this re-architecture. We value collaboration, innovation, creativity, and technical excellence in our area., • You’ll deal with the scale of globally deployed platform services across 6 AWS/GCP regions that altogether process petabytes of data daily and hundreds of billions of events from tens of millions of endpoints we protect at our enterprise & public sector clients across the globe, including 4 of the Fortune 10 and hundreds of Global 2000 companies. If you are passionate about impactful, high-stakes projects, this is your opportunity to shine! • Architect the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Lead the design and development of a new architecture that supports scalability, maintainability, and operational excellence., • Modernize the Stack: Collaborate with teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform., • Hands-on Development: Write high-quality, production-ready code., • Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement enhances the overall quality, whether you wrote it directly, reviewed it, or contributed to its design., • Collaborate Across Teams and Orgs: Partner with engineering, product, design, quality, DevOps/Infra teams, and leadership to align on objectives, design, timelines, and execution strategies. Our stack: Java, Go; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana • Extensive software engineering experience, including proven expertise in architecting large-scale distributed systems and microservices architectures, with a focus on performance, scalability, and reliability., • Expertise in Developer Platform fundamentals and infrastructure platform services design., • Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments., • Proficiency in Java and/or Go; experience with Python is a plus., • Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes (K8s)., • Excellent problem-solving skills., • Strong ownership and accountability, with proven experience driving large, impactful projects., • Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones. You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry. • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA, • Unlimited PTO, • Industry-leading gender-neutral parental leave, • Paid Company Holidays, • Paid Sick Time, • Employee stock purchase program, • Disability and life insurance, • Employee assistance program, • Gym membership reimbursement, • Cell phone reimbursement, • Numerous company-sponsored events, including regular happy hours and team-building events

Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer-first mindset, we’re making insurance shopping refreshingly effortless. We’re a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote-first team, we move quickly, experiment boldly, and build with intention. If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis. We're hiring a Senior Backend Engineer to advance our Real-Time Bidding (RTB) capabilities. You'll join a nimble, driven team and play a key role in shaping our product and architecture. This role uniquely blends product engineering with machine learning expertise. You'll focus on designing, building, and scaling the backend of our RTB system — spanning service integration (FastAPI), database infrastructure, and MLOps components — while contributing to the ML models that power our bidding engine. You'll work cross-functionally and bring expertise in Python, Kubernetes, and GCP (GKE, Pub/Sub, Dataflow, BigQuery, Vertex AI). If you have a track record solving complex scaling challenges and building reliable cloud-native systems, come help us grow our technology and your craft. This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet. We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. We review compensation twice a year to make sure we’re staying competitive and rewarding our team’s contributions. * Collaborate closely with business stakeholders and other engineers to deliver impactful solutions. * Integrate services and product features with databases (Cloud SQL, Redis) and messaging queues (Pub/Sub). * Contribute to the development of our MLOps tools for ML models. * Build and optimize large-scale data processing pipelines for feature extraction and data transformation using BigQuery and Dataflow. * Train, evaluate, deploy, and monitor machine learning models on Vertex AI to improve bidding performance. * Stay fast and focused, balancing speed, performance, and scalability to deliver impact. * A minimum of 5 years of professional software engineering experience, demonstrating progressive growth and significant hands-on expertise in backend systems development and machine learning engineering * Strong proficiency in Python. Experience with FastAPI is a plus. * Deep understanding and practical experience with Google Cloud Platform (GCP) * Exposure to the end-to-end machine learning lifecycle: data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring in production. * Experience with MLOps principles and practices. * Familiarity with containerization and orchestration (Docker, Kubernetes). * A “get it done” mindset with the ability to make pragmatic decisions balancing speed, performance, technical debt, and scalability. * Strong communication and collaboration skills. We’re a group of curious, mission-driven humans rewriting the insurance experience and having a lot of fun along the way. At Trellis, you’ll make a real impact on a product millions rely on, and grow alongside a company that’s scaling fast. ✨ A transparent, collaborative culture where ideas win, not titles 🚀 Big opportunities to take ownership and chart your growth 💰 Competitive compensation (75th+ percentile) 🏡 Fully remote across the US & Canada 🎉 Quarterly virtual and/or in-person events that keep us connected 🌴 Flexible vacation (yes, actually flexible) 🩺 100% employer-paid health insurance for employees 💻 Home office budget to create your perfect setup 🧘 Wellness programming, because balance matters 💸 401(k) and HSA contributions, FSAs, bonuses & equity opportunities 🐣 Paid parental leave 👉 If you want a role where you’ll grow, be trusted, and build something that genuinely improves people’s lives, Trellis is the place. Join us. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Note: all employees must complete a background check prior to starting employment with Trellis or its subsidiaries

About Us! Founded in 2002, Raptor has partnered with more than 60,000 schools in 55 different countries, including 5,300+ K-12 US school districts, to provide integrated visitor, volunteer, attendance, dismissal, emergency management, and safeguarding software and services covering the complete spectrum of school and student safety. We are passionate about our mission to protect every child, every school, every day! About the Role Reporting to the Sr. Director of QA and DevSecOps, the Lead DevSecOps Engineer will drive the design, automation, and continuous improvement of secure cloud infrastructure and delivery pipelines across our Azure ecosystem. This player-coach role combines deep technical expertise with hands-on leadership, guiding a team of DevSecOps engineers to strengthen the security, reliability, and velocity of our software delivery lifecycle. The ideal candidate will drive operational excellence across our Azure-based infrastructure, champion best practices in security and deployment automation, and foster a culture of continuous improvement. You will partner closely with Development, QA, and InfoSec teams to embed security, compliance, and observability across our CI/CD processes—supporting both legacy .NET applications and modern microservices hosted in Azure. The ideal candidate will lead by example through technical contributions, mentorship, and adherence to organizational standards for speed, security, and efficiency. Responsibilities • Leadership and Mentorship: Guide a team of four DevSecOps engineers, promoting best practices in automation, security, and reliability., • Secure CI/CD Pipelines: Maintain GitLab-based pipelines, ensuring consistent integration of security scans, automated testing, and compliance gates., • Infrastructure as Code: Develop and maintain infrastructure through Terraform, enabling repeatable and auditable environment provisioning., • Cloud Operations: Architect, automate, and manage infrastructure in Azure (primary) with some AWS exposure, supporting hybrid and microservices deployments., • Monitoring and Observability: Implement and optimize alerting and performance monitoring through New Relic to ensure high availability and rapid incident response., • Security Integration and Automation: Partner with InfoSec to implement automated vulnerability scanning, key and secret management (Azure Key Vault), and continuous configuration monitoring aligned with SOC 2 and ISO 27001 standards., • Change Management & Compliance: Enforce disciplined change control, versioning, and deployment approvals in alignment with security and audit requirements., • Continuous Improvement: Identify opportunities to enhance delivery velocity, system resilience, and cost efficiency across the DevSecOps toolchain., • Incident Response: Participate in on-call rotation to support production environments and coordinate root-cause analysis and remediation., • Engineering Enablement: Work closely with Engineers to design scalable DevSecOps solutions that accelerate delivery, improve reliability, and enhance developer productivity., • Workflow Optimization: Streamline CI/CD processes and reduce friction through automation and tooling improvements., • Cloud Migration: Lead cloud migration initiatives ensuring secure, scalable, and cost-efficient operations across Azure and AWS., • FinOps & Cost Optimization: Manage and optimize cloud spend through FinOps methodologies and resource utilization monitoring., • Modern DevOps Practices: Champion trunk-based development, shift-left implementation and automated quality gates to improve software delivery maturity Qualifications • Senior level experience (combined 10+ years) in DevSecOps, DevOps, CloudOps, Site Reliability position(s), • Served in a mentor or leadership position – either formally or informally, • Willing to travel to the Houston office twice per year, • Deep hands-on experience with Microsoft Azure services including AKS, Key Vault, Application Configuration, Service Bus, and Azure SQL, • Proven experience managing .NET applications across both monolithic and microservices architectures for a SAAS platform, • Deep hands-on expertise with Azure (primary) and familiarity with AWS environments, • Strong proficiency in GitLab CI/CD, • Demonstrated skill in Infrastructure as Code using Terraform, • Solid understanding of containerization and orchestration (Docker, Kubernetes, AKS), • Experience implementing security automation, including SAST/DAST, secrets management, and compliance reporting, • Knowledge of cloud networking, IAM, and identity management (Azure AD, VNet, NSGs), • Proficiency in scripting (PowerShell, Bash, or Python), • Excellent communication skills and ability to collaborate across development, QA, and InfoSec teams Preferred Qualifications • Experience migrating from Jenkins, • Experience supporting SOC 2 or ISO 27001 audit readiness and evidence collection, • Familiarity with multi-cloud governance, cost optimization, and infrastructure monitoring best practices, • Prior experience mentoring or leading a small technical team in a DevSecOps or SRE function, • Bachelor’s degree in Computer Science, Information Security, or related field What's in it for you? • You will have the opportunity to shape DevSecOps standards and automation across a growing SaaS platform, • You will provide hands-on leadership of an established team driving meaningful transformation in delivery and security practices, • You will enjoy a modern technology stack and collaborative cross-functional culture, • You will join the gold standard in school safety software, • You will join a company where innovation and customer collaboration are part of what drives new product development to help keep kids safe., • You will work with diverse teams made up of some of the best minds in the industry., • You will exposure to strong mentorship and leadership that have supported a long history of career advancement opportunities for our employees., • You will have access to a robust benefits package that includes: Remote-first philosophy * Flexible paid time off * Paid parental leave * 11 Paid holidays per year * Workplace flexibility * Affordable health coverage (medical, dental, vision), paid 100% for employee only medical * 401(k) employer contribution to help you plan for the future * Company paid life insurance, STD, and LTD If you are a resident of California, Colorado, New Jersey, New York or Washington, please reach out to ___ for a reasonable estimate of annual base compensation and any eligible incentive compensation. The actual compensation offered to successful candidates for roles may be higher or lower, based on non-discriminatory criteria including but not limited to relevant professional experience, geographic location, knowledge, skills, and abilities. This range will be reviewed on a regular basis. Raptor Technologies is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, compensation, training, promotion, transfer, leaves of absence, and termination.

Senior Software Engineer (Frontend / Vue.js) Reports to: Development Manager Salary: Up to $140,000 based on experience OnTheClock is looking for a Senior Software Engineer with strong expertise in Vue.js and modern frontend development to join our growing engineering team. You'll specialize in our web frontend (Vue.js 3/Nuxt 3/TypeScript) while working full-stack across our .NET backend APIs, SQL Server database, and AWS infrastructure. OnTheClock is a successful Michigan-based SaaS company serving over 160,000 monthly active users with time tracking, scheduling, and payroll solutions. OnTheClock is investing in engineering excellence, and we're building out a strong internal engineering team. As we scale toward our ambitious long-term goal of reaching 1 million users, we need exceptional software engineers who want to be a part of establishing the technical foundation, culture, and practices for our team. This isn't just another senior software engineering role. You'll have real technical influence from day one. You'll help shape our architecture, drive technical decisions, establish engineering best practices, and help us modernize and optimize systems that serve thousands of small businesses. You'll work across our full stack (Vue.js, .NET, SQL Server, MAUI, AWS) and contribute to decisions that will define our technical direction for years to come. We're establishing a culture of engineering excellence, one that values initiative, continuous learning, knowledge sharing, and high standards. You'll work alongside other software engineers who are passionate about their craft, challenge each other to grow, and care deeply about delivering quality software. This is a place where your ideas matter, your growth is prioritized, and your impact is immediate. You'll get to: • Be an early member of a newly formed internal engineering team with fresh leadership and vision, • Influence technical strategy and architecture decisions, • Work on meaningful problems that impact 160,000+ users and help small businesses succeed, • Modernize and scale systems toward our ambitious long-term goal of reaching 1 million users, • Grow your skills across the full stack while leveraging your deep specialty, • Experiment with AI coding assistants and emerging tools to boost productivity, • Enjoy work-life balance, flexibility, and a supportive team environment We’re a small company, building out a new engineering team. You’ll wear multiple hats, work across the stack, and have a broad impact. If you’re looking for narrow specialization (that you might find at a larger company), this won’t be a good fit for you. If you're a senior engineer who wants ownership, variety, impact, and the chance to help establish engineering excellence, not just maintain what already exists, keep reading. Our Current Tech Stack (What You Will Be Working With) • Backend: C#, .NET, Web API, Entity Framework, MediatR (CQRS), • Frontend: ___ 3, Nuxt 3, TypeScript, Pinia, Vite, Bootstrap Vue, • Mobile: .NET MAUI (Android and iOS), • Database: SQL Server, • Infrastructure: AWS (EC2, S3, Cognito), Windows Servers, IIS, GitHub Actions, • Monitoring: New Relic, Sentry Responsibilities (What You'll Be Doing) • Design, build, ship, and maintain features across our web application (Vue.js 3/Nuxt 3/TypeScript), with contributions to our backend APIs (.NET/C#/Web API), that serve 160,000+ monthly active users, • Build responsive, accessible, and performant user interfaces using Vue.js 3, Nuxt 3, and TypeScript, • Provide technical leadership and expertise across projects, offering architecture guidance, system design recommendations, and best practices, • Own significant technical areas end-to-end, from database schema design to frontend UI, taking initiative to identify improvements and drive them to completion, • Conduct thorough code reviews and architecture reviews, raising the bar for code quality and helping the team make better technical decisions, • Collaborate closely with Product and the Development Manager to shape the technical roadmap and prioritize engineering initiatives, • Debug and resolve production issues using monitoring tools like New Relic and Sentry, participating in an on-call rotation to ensure system reliability, • Work on AWS infrastructure (EC2, S3, IAM), CI/CD pipelines (GitHub Actions), and DevOps processes to improve deployment reliability and developer productivity, • Mentor other engineers as the team grows, sharing knowledge through code reviews, pair programming, documentation, and fostering a culture of continuous learning Required Qualifications - Technical • 6+ years of relevant professional software engineering experience, building production web applications, • Strong expertise in modern frontend development (advanced), • Vue.js 3, Nuxt 3, TypeScript, • Component architecture, state management (Pinia/Vuex), reactive patterns, • HTML5, CSS3, responsive design, accessibility fundamentals, • Build tooling (Vite, Webpack), performance optimization, • REST API consumption and frontend/backend integration, • Strong backend capabilities (proficient), • Willing and able to work in .NET/C# backend code, and write API endpoints, • Not just a frontend specialist, you can trace a bug from the UI through the API to the database, • Strong SQL Server or relational database experience (proficient), • Experience with production support, monitoring tools (New Relic, Sentry, or similar), and comfort with on-call rotation (proficient) Required Qualifications - Non-Technical • Proactive and takes initiative: You see problems and fix them. You don’t wait for perfect instructions., • Lifelong learner: You stay current with technology. You experiment. You read the docs. You share what you learn., • Excellent communicator: You can clearly explain complex technical concepts. You ask questions when something is unclear. You document decisions., • Collaboration: You give helpful code reviews. You accept feedback gracefully. You make your teammates better., • Low ego: The best idea wins, regardless of seniority., • Comfortable with ambiguity: this is a new team, and we’ll figure things out together., • Bias toward action: You ship working code. You iterate. You don’t let perfect be the enemy of good., • Comfortable speaking up, challenging ideas respectfully, and driving discussions, • High standards for quality and engineering excellence Preferred Skills & Qualifications • Experience with AWS (EC2, S3, IAM) or cloud infrastructure, • Experience with CI/CD pipelines (GitHub Actions or similar), • Experience with third-party API integrations (payroll providers, accounting systems, etc.), • Experience with or strong interest in AI-powered tools for developer productivity, • Experience in modernizing legacy codebases or reducing technical debt, • Experience with GitHub and GitHub Actions, • Experience working in small teams where you wore multiple hats, • Some leadership experience (tech lead, mentoring, architecture ownership) or aspiration to grow in this direction You're wondering, what is OnTheClock? OnTheClock, founded in 2004, is a Michigan-based SaaS (web-based) software company that provides real-time time tracking, scheduling, and payroll for businesses. Our web-based software and apps provide employers with a simple way to track employee hours, establish work schedules, and pay employees all in one system. OnTheClock has a great culture, and we are looking for like-minded people who can deliver the best service possible to our customers. What we look for in you Positive - whatever it takes attitude • Analytical - drills down into data and loves technology, data, and spreadsheets, • Growth Mindset - curious and always learning, • Deep Expertise - smarter than us at your craft. We want you to challenge yourself and us., • Build Up Others - teach others as you work, • Results Focused - ability to achieve and prove results, • Culture Fit - Must fit in here at OTC, in line with our values - ___, • Be A Doer - always looking for new ways to look at data and make recommendations, • Find us on ___ to understand more about us Why Should You Work Here With Us • 2023 - 2025 Crain’s Best Places to Work recipient, • Competitive pay, • Flextime, • Hybrid work environment, • 100% paid health insurance, • The kitchen is stocked with drinks and snacks, • Free company lunch every Thursday, • Paid time off, • 9 paid holidays, • $100k life insurance, • 401K matching retirement plan, • Short-term disability, • Long-term disability, • Continuing education is encouraged with $1,000 per year, • Blue Cross dental and vision, • Career growth, • 4.9-star Glassdoor review, • 4.8-star product review The finer print • This position is eligible as a fully remote role for individuals 50 miles outside our Clinton Township, MI office. Candidates who live within a 50-mile radius will be expected to follow the OTC hybrid work model., • At this time, we generally restrict hiring in the following U.S. states due to employment, payroll, and compliance requirements: California, New York, New Jersey, Colorado, Massachusetts, Oregon, and Hawaii., • An I-9 form must be completed at hire to confirm work authorization.

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: • Our mascot is a rock, • We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad), • We have a designated Chief Emoji Officer - they are vital to our success!, • We like software that’s serious and culture that’s not Most people skim to 'requirements' and bounce. You're actually reading this. That's the kind of thoroughness we respect, or you're just procrastinating. Either way, same same and you should keep reading. We own ngrok’s core gateway layer — the infrastructure that sits between the internet and everything our customers run. Every request, response, retry, and timeout passes through here. Our job is to make sure that traffic is: • Routed exactly where it’s supposed to go, • Secured correctly, every time, • Allowed or blocked for reasons we can explain, • Rate-limited and shaped without surprises, • Observable when something inevitably goes sideways, • Build and operate the gateway core: You’ll work on the services every ngrok request passes through. They’re very fast, very hot, and have extremely high standards., • Design routing and security primitives everyone depends on: You’ll build low-level policy, routing, and validation systems used across the platform—making sure bad configs fail fast and don’t accidentally DDoS the internet., • Debug distributed systems in the wild: You’ll chase bugs caused by timing, load, and incorrect assumptions. Expect metrics, traces, packet captures, and the occasional “how is this even possible?”, • Ship infrastructure people sleep on (in a good way): You’ll build simple, durable systems and clean abstractions that other teams rely on daily—while thinking about blast radius, safety, and rollbacks more than flashy demos., • You’re comfortable in Go, Rust, C/C++, or Java (bonus points for Go), • You’ve built networking, proxy, or infrastructure systems in production, • You understand TLS/mTLS, • You enjoy systems that are invisible until they’re not, • You passionate about building primitives other teams depend on, • You’ve said “this needs to be rock solid” and meant it literally Extra credit if you’ve worked on: • Gateways, proxies, or edge platforms, • Security-critical infrastructure, • Multi-tenant networking systems, • Config-heavy systems that must never surprise users, • Anything described as “simple” in the original proposal ngrok runs entirely on AWS. Engineers develop by SSH’ing into remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything. This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays. All candidates must be US-based, and legally authorized to work in the United States. At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship. Senior Software Engineer • Tier 1 (SF, LA, Seattle, NYC): $180,000 – $225,000, • Tier 2 (rest of US): $165,600 – $207,000 Software Engineer III • Tier 1 (SF, LA, Seattle, NYC): $160,000 – $200,000, • Tier 2 (rest of US): $147,200 – $184,000 Software Engineer II • Tier 1 (SF, LA, Seattle, NYC): $132,000 – $165,000, • Tier 2 (rest of US): $121,400 – $151,800 #LI-Remote Compensation for this role depends on level, but we provide a competitive mix of salary and equity. We provide a 401(k) with a 100% match up to 3% of your salary and a 50% match up to another 2%. We provide healthcare, dental, and vision with premiums fully covered on the base plan for employees. Half of premiums are covered for dependents. We offer unlimited PTO and a culture in which the overwhelming majority of employees take more than four weeks. Your manager is also on the hook for encouraging you to do the same.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ___ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).

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.

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Data Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What you'll do • Lead a team of 6 engineers, • Working with fellow Nava engineers to design, review, and build well-crafted software, • Working in an agile manner to efficiently ship new features that meet user needs, • Design and develop scalable data ingestion and processing pipelines, • Implement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data, • Implement data validation and quality checks to ensure accuracy and consistency, • Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications, • Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities, • Participate in software design and code reviews, • Maintain security and privacy standards in all aspects of the data pipeline, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed Required skills • Open to Data Engineers, • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms, • At least 3 years of experience leading and mentoring engineering teams, • At least 3 years of experience building data services on AWS, • Experience building large scale data services with FHIR/HL7 in healthcare, • Experience with big data technologies such Apache Spark, AWS Glue, AWS‬ Athena, Databricks‬, AWS Redshift, AWS S3 and AWS RDS, • Proficient writing applications and APIs in Python, Go or Java, Tenacity to dive into problems and iterate in working code, • Equal parts systems thinker and advocate for users, • Highly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short term vs. long term benefits, • An adaptive, empathetic, collaborative and positive mindset, • Excellent written and verbal communication skills, technical and otherwise \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of delivering scalable systems in production environments., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $129,000 - $152,000, • TTC: $142,000 - $168,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our ___. About the Role: We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto. As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and Here’s what you’ll do day-to-day: • Architect, build, and refine our infrastructure and tools that enable other teams to work with data., • Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time, • Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise., • Work as part of a team. We value team players who share their knowledge and like collaborating with others. Here’s what we're looking for: * • At least 7 years of software engineering experience., • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR)., • Experience with OLAP databases (Clickhouse), • Experience building data pipelines at scale, Airflow and Python preferred., • Experience with streaming systems desired (Kafka, Kinesis, or similar)., • Ability to turn vague requirements into clear deliverables with minimal guidance., • Experience building and maintaining a modern data stack in production. Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out ___ and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our ___. Personal information collected and processed as part of your Gusto application will be subject to ___.