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Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership. • Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains., • Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation., • Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies., • Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency., • Optimize cost, performance, and reliability of data workloads., • Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions., • Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient., • 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines., • Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics., • Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization., • Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc)., • Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets., • Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time., • Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review., • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications • Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc)., • Hands-on experience with data orchestration tools (Airflow, Step Functions, etc)., • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams., • Experience with prompt engineering using modern GenAI, Large Language Models (LLM)., • Experience mentoring other engineers and contributing to engineering-wide standards, best practices. As a note; Socure cannot provide sponsorship now or in the future for this role. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations. You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready. Your responsibilities will include: • Design and develop backend services and automation in Python, • Build and maintain systems for hardware provisioning, testing, and lifecycle management, • Develop software that runs directly on bare-metal environments, • Integrate with Linux systems, using Bash and low-level tooling where needed, • Implement and maintain CI/CD pipelines for infrastructure-focused software, • Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows, • Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards), • Enable reliable hardware interaction and automation across large fleets, • Support ARM64 / ARM64EC architectures, • Design and integrate NoSQL data stores for system state and orchestration data, • Write clear documentation and contribute to operational excellence What we expect you to have: • Strong professional experience as a software engineer, with a focus on Python, • Solid experience with Linux systems and shell scripting, • Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot), • Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs), • Familiarity with CI/CD systems and production deployment workflows, • Experience designing or working with NoSQL databases, • Ability to debug complex issues spanning software, hardware, and networks, • Strong ownership mindset and clear communication skills in a distributed team It will be an added bonus if you have: • Experience operating or building systems for large-scale infrastructure, • Familiarity with ARM-based platforms in production environments, • Background in hardware testing, validation, or factory provisioning, • Experience with infrastructure automation or internal platform tooling, • Contributions to open-source or internal systems software projects Working conditions: • Fully remote position (United States), • Collaboration with globally distributed engineering and operations teams Key employee benefits: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families, • 401(k) plan: up to 4% company match with immediate vesting, • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers, • Remote work reimbursement: up to $85/month for mobile and internet, • Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation • We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation of AI infrastructure. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

___ provides a unified digital origination and decisioning platform that helps financial institutions meet the moment. Designed to scale with banks and credit unions at any stage of their digital journey, FIS® Amount™ delivers a seamless, digital-first experience—streamlining everything from loan origination to deposit account opening. With built-in fraud orchestration and risk management, FIS® Amount™ enables financial institutions to control risk across any product while optimizing performance and enhancing security. Our flexible, modular platform is backed by enterprise-grade infrastructure and compliance, allowing institutions to launch new offerings in months, not years. Learn more at ___. We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS? A DAY IN THE LIFE: As an AI Software Engineer, you’ll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You’ll balance hands-on development of backend services and APIs with designing scalable AI integration patterns, building experimentation frameworks, and ensuring seamless deployment across our technology stack. You’ll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You’ll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You’ll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable. This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions. Team: Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8–10 engineers, data scientists, and product managers within the Technology zone Similar job titles: AI Platform Engineer, AI Engineer WHAT WE’LL TRUST YOU TO DELIVER: AI Solution Development • Design and build backend services and APIs that deploy AI-powered features using foundational models, • Implement scalable architectures supporting AI workflows, automation, and data processing pipelines, • Create end-to-end solutions that translate high-level business problems into functional AI implementations, • Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities System Integration & Architecture • Integrate AI services into complex technology stacks, ensuring seamless interoperability, • Connect AI capabilities with microservices, AWS platform components, and Redshift data systems, • Manage complex dependencies across multi-stack environments, • Ensure system reliability, scalability, and maintainability Innovation & Experimentation • Drive test-and-learn cycles with rapid prototyping of AI-driven solutions, • Evaluate and adopt new AI frameworks, tools, and capabilities, • Build proof-of-concept solutions for the company’s most exciting problems, • Stay current with the evolving AI ecosystem to guide technical decisions Cross-Team Collaboration • Partner with product managers to understand and translate business requirements, • Work with data scientists on model integration and optimization, • Coordinate with frontend engineers on API design and feature delivery, • Document system designs, APIs, and workflows for knowledge sharing WHAT YOU LIKELY BRING TO THE TABLE: • 5+ years of backend software engineering with strong Python skills; experience with Java is a plus, • Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis), • Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines, • Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases), • Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal), • Test-and-learn mindset with strong rapid prototyping abilities, • Excellent communication skills for both technical and business stakeholders, • Experience with responsible AI principles, data privacy, and system reliability NOTE: • Most positions are hybrid (3 days onsite) in our FIS Office locations in Chicago (Illinois), Milwaukee (Wisconsin), Atlanta (Georgia) and Jacksonville (Florida)., • Current and future sponsorship not available for this position Privacy Statement • FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the ___. EEOC Statement • FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is ___ supplement document ___, • For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model • Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

About the role: Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help grow Samsara’s revenue by scaling our product-led, self-serve experiences across the customer lifecycle — from trials through purchases, expansions, and renewals. In this role, you will partner closely with product, design, sales, marketing, finance, and other go-to-market teams to build intuitive experiences that help customers discover value, transact seamlessly, and continue to grow with Samsara over time. We value fullstack engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality. You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale. If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara. This role is open to all candidates residing in the US. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build customer-facing self-serve products from the ground up using a combination of custom frontends, Cloud applications, backend services, and scripts, etc., • Collaborate with product, design, marketing, sales operations, finance and other GTM teams to implement growth initiatives., • Leverage data to understand our customers and our funnel in depth, identify areas of opportunity and execute projects to drive revenue, customer growth, retention, and/or engagement., • Drive engineering discussions and write thoughtful documentation and unit tests., • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: • 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments., • Proficiency in front end development is a much needed skill for this role., • Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks)., • Experience working with AWS or other cloud infrastructure platforms for deployment and scalability., • Strong understanding of web architecture, performance optimization, and security best practices., • Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end., • Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions., • Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals., • Excellent debugging, technical communication, and problem-solving skills. An ideal candidate also has: • Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics., • Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments., • Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and experience developing Google Chrome Extensions, • Knowledge of any of the following tools: Turborepo, Terraform, Playwright or any similar tools, • Knowledge of any of the following services: Salesforce, Contentful, Hightouch or any similar products.

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.

Description: Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Full Stack Engineer to join our team. Reporting directly to the Platform Team Lead, you will play a critical role in building data-driven dashboards and tools to support risk analysis. In this role, you will collaborate closely with research and protocol teams to deliver high-quality frontend and backend components that power protocol security insights. Responsibilities • Take full ownership of projects: break down high-level goals into actionable tasks, propose technical approaches, and drive execution end-to-end., • Design and implement scalable frontend dashboards and tools that visualize protocol risk, integrating tightly with backend data sources., • Build and maintain robust GraphQL APIs and data services that serve our UI and internal tools., • Evolve our Alert Portal, owning new feature development, architectural improvements, and performance optimizations., • Partner with research and protocol teams to deeply understand DeFi protocols and present insights via intuitive, data-rich interfaces., • Mentor and support junior engineers by sharing best practices in full-stack development., • Ensure code quality and maintainability through testing, documentation, and code reviews., • Take initiative in identifying product opportunities and technical improvements across the platform., • Collaborate with cross-functional teams to ensure high-quality outputs., • Contribute to the continuous improvement and innovation of our platform. Requirements: • 5+ years of professional experience in full-stack development with modern technologies (Node.js, Python, etc.)., • Proven ability to independently manage projects and deliver production-grade features with minimal supervision., • Strong experience building React-based web applications., • Solid understanding of API design, especially using GraphQL., • Experience working with data-intensive applications or analytics dashboards., • Comfortable working in dynamic, high-ownership environments with shifting priorities., • Passion for high-quality engineering and building tools that solve real user problems., • Based in NYC or open to hybrid work from our Brooklyn office., • Experience designing, developing, and operating cloud-native services (AWS/GCP)., • Strong foundation in frontend engineering best practices including accessibility, performance, and testing., • Familiarity with CI/CD pipelines and modern DevOps workflows., • Interest in or curiosity about DeFi and blockchain technologies., • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays, • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents, • FSA or HSA (depending on selected health insurance), • Thoughtful Parental Leave Policy, • Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP), • Career growth opportunities at a rapidly expanding, global technology company, • Pre-tax Commuter Benefits, • Salary and seniority level commensurate with experience $176,000–$199,000 USD

Position Title: SENIOR SOFTWARE ENGINEER (Full Time, Exempt) Who’ll You Report To: Sr. Engineering Manager About the Role We are modernizing our backend systems, migrating from Magic XPA to a serverless Node.js architecture. We’re looking for full-stack engineers who can quickly learn Magic XPA, understand its structure, and help us transition to modern cloud-based solutions. This role is ideal for engineers with experience in legacy system modernization, low-code/4GL platforms, and serverless technologies. If you enjoy reverse-engineering existing applications and architecting scalable solutions, we’d love to hear from you! Job Responsibilities: • Evolve and extend the custom XPA based platform to meet growing business needs., • Design and implement a serverless Node.js system to replace legacy components., • Collaborate with cross-functional teams to ensure a smooth transition with minimal disruption., • Migrate and optimize data from legacy databases to modern cloud-based storage solutions., • Develop APIs, event-driven workflows, and integrations with external systems., • Support and troubleshoot production issues related to both the legacy and new platforms during the transition., • Java/Kubernetes backend application development. Qualifications: • Experience with legacy system modernization, including migrating from older platforms to modern architectures., • Strong backend development experience with Node.js (TypeScript preferred), AWS Lambda, DynamoDB, API Gateway, and event-driven architectures., • Strong database skills (SQL Server preferred, PostgreSQL, or MySQL databases)., • Ability to reverse-engineer complex systems and document findings., • Java and/or Kubernetes experience is a plus., • Familiarity with low-code/4GL platforms (Magic XPA, Progress OpenEdge, Uniface, OutSystems, etc.) is a plus., • Knowledge of message queues (SQS, Kafka, etc.) and distributed systems is a plus., • Hands-on experience with benefit enrollment workflows is a plus. What We Offer Base salary: $110,000- $150,000 annually. Eligible for quarterly bonus earnings, up to 10% of annual salary. Actual compensation offered may vary depending upon many factors, including a candidate’s skills, qualifications, experience, and location. Salary is only one component of the Vimly Benefits Solution Total Rewards Program. Vimly offers its eligible employees and their dependents (including domestic partners) a comprehensive and competitive benefits package: • Medical, Dental and Vision Coverage, • 401(k) Retirement Plan, • 20 PTO days accrued within the first year (includes sick time), • 12 holidays per year, Diversity Time Off and Paid Volunteer Time Off, • Life and AD&D Insurance, • Long-term and Short-term Disability Insurance, • Voluntary Life Insurance, • Voluntary Long-Term Care (LTC) insurance, • Voluntary Pet Insurance, • Voluntary Legal Plan, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA), • AFLAC Voluntary Benefits, • MetLife Voluntary Benefits, • Employee Assistance Program Vimly Benefit Solutions is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Vimly is also committed to the full inclusion of all qualified individuals. As part of this commitment, Vimly will ensure that persons with disabilities are provided reasonable accommodations. Vimly is prepared to modify or adjust the job application process, or the job or work environment, to make reasonable accommodations to the known physical or mental limitations of the applicant or employee, unless the accommodation to impose is an undue hardship. If reasonable accommodation is needed, please contact ___.

Our Why At Dotmatics At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future. We are Science Driven. We are Customer Centric. We are Better Together. What do we need Dotmatics is seeking a Staff Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, Luma fits the way our customers “do science”. It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration. As a Staff Engineer, you will be responsible for driving improvements in reliability, performance, and operability while helping to hire, mentor, and grow a world-class engineering team. You are curious and have some working knowledge of using AI in your everyday work or in your own personal projects, and be motivated to find new ways to use AI in software development. This is a remote position, located in Mass. There will be some travel required to the office in Boston for team meetings and working sessions. In this role you will • Define and drive system architecture for services within a Node.js/TypeScript ecosystem., • Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability., • Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data., • Guarantee the scalability, maintainability, and security of software solutions., • Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence., • Help shape user interfaces that are intuitive and accelerate scientific research., • Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine. We are looking for candidates with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent. You will be curious and inquisitive question the why and how!! The key skills we are looking for • Strong engineering background with Node.js and React., • Proven experience designing and implementing distributed, event-driven systems and high-level web applications., • Experience implementing automated testing platforms, unit tests, and integration tests., • Professional experience with PostgreSQL and building/consuming RESTful APIs., • Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads., • Proficiency with CI/CD tools such as GitHub Actions and AWS CodePipeline., • Knowledge of Agile software development practices. You may also have experience in • Setting technical direction, leading cross-team initiatives, and levelling up other engineers., • Background in complex data pipelines and scaling., • Message-based architectures (e.g., Kafka)., • Deployment technologies like Terraform., • Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers., • Building Windows applications., • Building scalable distributed systems using Kubernetes and other cloud-native technologies., • Experience within Life Sciences or R&D data management. Total Rewards Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications & location. In addition to base salary, Dotmatics has implemented a total rewards strategy, which is the combination of compensation, benefits and recognition. Certain positions are also eligible for variable pay; your recruiter will discuss the full compensation package details. Other Total Rewards Offered • Medical, Dental, Vision, Insurance, • Health Spending Accounts, • Wellness Benefits (Mental Health Apps and Fitness Perks), • Company-paid Life and Disability Insurance, • 401k Retirement Plan (with 4% company match; immediate vesting), • Flexible Time off Plan (for US exempt employees) This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. Starting Base Pay Range $142,445—$163,811 USD Research shows us the___ and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you. By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics ___ explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information. Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

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 ___ Software 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 • Working with fellow Nava engineers to design, review, and build well-crafted software, • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems, • Working in an agile manner to efficiently ship new features that meet user needs, • Creating tools and processes to automate our development, testing, and production workflows, • Writing and reviewing technical documentation, performing code reviews, • Participating in an on-call rotation to support production systems and investigate issues when they occur, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed Required skills • Open to Backend engineers, • At least 5 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms, • Experience developing applications and APIs Java, Spring Boot, Go, OpenAPI,‬ Fargate, Lambda, • Experience utilizing AWS cloud native services and data engineering, • Current and/or prior experience developing API endpoints with Java or Go, • Tenacity to dive into problems and iterate in working code, • 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 Desired skills • Experience using Apache Spark and Parquet for data engineering, • Experience with ___ and ___ (Javascript) \n$107,000 - $120,600 a year\n

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: A Software Engineer in Platform Operations is responsible for helping design, build, and operate the core infrastructure that enables Planet's engineering teams to reliably deploy and scale their services with minimal friction. This role is a key contributor to the evolution of our modern cloud-native platform, focusing on security, scalability, and reliability. This position will work as part of a team that partners with software engineers across the organization to refine and improve the deployment and operational experience. The ideal candidate is excited by the opportunity to enable software engineering at scale and provide internal users a “batteries included” infrastructure experience through our internal developer platform. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You’ll Own: • Design and implement core Infrastructure-as-Code (IaC) solutions to ensure the secure and scalable operation of Planet's services., • Actively work on major platform modernization initiatives, including the full migration from legacy tooling to new solutions., • Manage cloud-based infrastructure services, notably our fleet of Kubernetes clusters, and associated tooling to meet internal needs and support customer-facing service level agreements., • Enhance and maintain observability for key platform services, leveraging Grafana and other tools to establish Service Level Objectives (SLOs) and improve operational readiness., • Implement improvements and features for core systems owned by the team, such as GKE clusters, public API gateway, and other managed infrastructure solutions., • Collaborate with software engineering teams to refine the developer experience (DevEx) of our managed infrastructure. What You Bring: • 4+ years of experience in a Platform Engineering, System Administration, DevOps, or Site Reliability Engineering (SRE) role., • Deep understanding of Kubernetes, underlying compute systems, and Linux, • Working knowledge of public clouds, particularly Google Cloud Platform (GCP) or Amazon Web Services (AWS)., • Experience with CI/CD tools (e.g. GitLab, ArgoCD), Configuration Management (e.g. Terraform, Crossplane) and GitOps principles., • Ability to use an operational mindset and troubleshooting prowess for complex production environments., • Experience building services in languages such as Go and Python using tools like Git, Docker, and CI/CD workflows., • Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP., • Ability to collaborate and clearly communicate designs and decisions verbally and in writing. What Makes You Stand Out: • Experience in the operational management and development of core platform systems or open-source infrastructure projects., • Experience with maintaining highly available or operationally resilient infrastructure at very large scales or across multiple clouds., • Practical experience with networking and network architectures as it relates to platform infrastructure., • Experience with Observability tools and best practices. #LI-REMOTE Application Deadline: May 5, 2026 by 11:59 PM PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range $136,000 - $170,000 USD San Francisco Salary Range $144,500 - $180,600 USD US National Salary Range $127,000 - $158,700 USD Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Achievement Network (ANet) is a nonprofit organization dedicated to helping all students achieve strong educational outcomes. We partner with school and system leaders to strengthen teaching and learning through the strategic use of assessments, coaching, and tools that drive meaningful results. Individuals who join ANet become part of a dynamic, mission-driven, and collaborative organization focused on making a lasting impact in schools. We are committed to supporting one another and growing together as a team. The Senior Software Engineer will help the Engineering Team build products that teachers and school leaders use to help shape excellent instruction for students. Reporting to the Vice President of Engineering, the Senior Software Engineer will apply modern development technologies and best practices to deliver high-quality software systems and solve technical challenges. Up to 2-3 times a year Implement ANet’s next generation of technology products that support data-driven educational practices • Design, develop, test, and maintain a robust and scalable data lake solution, RESTful back-end services, and, occasionally, web applications that provide ANet’s educational partners with insights that boost student learning, • Engage in technical design and code reviews, embracing and promoting best practices to document and deliver a high- quality software system that scales, • Monitor and troubleshoot production data pipelines, proactively address issues, performance bottlenecks, and system failures, • Contribute to the evolution of our data infrastructure, recommending and implementing solutions to improve testability, maintainability, scalability, and efficiency, • Join product managers and business analysts to understand available data and translate user stories into reporting platform capabilities, • Collaborate and integrate with third-party data providers to ingest and share data using established, sustainable patterns adopted by the team, • Expertise in area of focus:, • 6+ years of experience delivering high quality software solutions in enterprise environments, • 3+ years of recent, hands-on experience designing, implementing, testing, and maintaining production software utilizing, • Java 17+, Spring Boot 3+, data modeling skills, and SQL for microservice development, • Modern data warehousing, data lake, ELT/ETL design patterns, and PySpark for data pipeline development, • Cloud platforms and infrastructure deployment tools (AWS and Cloud Formation preferred), • CI/CD automation pipelines, • Scrum or other Agile development processes, • 2+ years of hands-on experience developing web applications using Javascript or Typescript with a modern front-end framework (Angular preferred), • Experience working in a highly collaborative culture and creating consistent, sustainable solutions across applications and sub-teams, • Communication:, • Ability to articulate complex ideas clearly and confidently in written and verbal form to technical and non-technical audiences, • Demonstrates empathy and ability to hear and respond to feedback, • Critical Thinking and Data Orientation:, • Adept in working closely with business partners to build technology solutions that meet the needs of internal and external users, • Adept at adjusting solutions to increase consistency, sustainability, and maximize the effectiveness of the entire team, • Planning and Prioritization:, • Expertise in area of focus:, • A Bachelor’s Degree in Computer Science, Math, Engineering or related degree We offer comprehensive benefits to best support our people. Benefits include: medical, dental and vision insurance where ANet pays a portion of the cost of these benefits for employees and their families/domestic partner; generous paid time-off including 10 paid holidays and paid days off between the Christmas and New Year’s holidays; paid parental leave; educational expenses reimbursements; flexible spending accounts; professional development; a 401(k) plan with a 4% match; short and long-term disability coverage; and basic life and personal accident insurance. Because this role includes direct instructional coaching and partnership work, candidates must disclose any current consulting, contracting, or employment with organizations that provide instructional coaching, curriculum implementation support, or similar services to schools or districts. ANet reviews outside work to ensure there is no conflict of interest with core services or partner relationships. Individuals currently contracting with organizations that are in direct competition with ANet may not be eligible for this role. ANet is committed to building an inclusive and welcoming environment for everyone at our organization. We are an equal opportunity employer and encourage all individuals of all backgrounds to apply to our positions. Applicants must be currently authorized to work in the United States on a full-time basis.

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets. • Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience., • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data., • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products., • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication., • Translate complex analytics and business questions into actionable, production-grade data solutions., • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products., • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure)., • Ensure data quality, integrity, and security across all stages of the data lifecycle., • Mentor and provide technical guidance to junior data engineers and team members., • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership., • Proactively recommend and implement improvements to existing data infrastructure and software programs., • Stay current with industry trends and emerging technologies in geospatial data engineering., • An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes., • Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data., • Experience building solutions with Python., • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation., • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure)., • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka., • Experience integrating with API-driven, service-to-service web services., • Demonstrated ability to lead projects, mentor team members, and drive technical decisions., • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively., • Excellent organizational, interpersonal, and communication skills., • Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely)., • Experience deploying and scaling machine learning (ML) models/algorithms in production., • Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles)., • Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms., • Experience working with LiDAR data and deriving real-world insights from point clouds., • Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms., • Experience with data streaming, real-time data processing, or cloud-native geospatial solutions., • Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics)., • Experience with OAuth, authentication, and API key management for secure service-to-service communication.

Role Summary We’re looking for a Data Engineer to build and own our data infrastructure from the ground up. In this role, you will transform fragmented data sources into a centralized, scalable, and reliable data platform that powers reporting, analytics, and decision-making across the company. Your work will directly enable teams across marketing, finance, operations, and product to operate with accurate, trusted data; eliminating manual work, inconsistencies, and reporting gaps. Responsibilities • Design, build, and maintain scalable data pipelines that transform raw data into analytics-ready datasets, • Develop clean, structured data models that standardize business metrics and reporting, • Implement data quality checks, testing frameworks, and monitoring systems to ensure reliability, • Build and maintain integrations with APIs, databases, and third-party tools, • Design and manage the data warehouse architecture for scalability and performance, • Optimize pipeline performance, cost efficiency, and data processing workflows, • Partner with cross-functional teams to translate business needs into technical data solutions What Success Looks Like • A fully operational, scalable data warehouse with core business data centralized, • Reliable, automated pipelines with minimal failures and no manual dependencies, • Consistent, standardized metrics across all dashboards and teams, • High trust in data across the organization, enabling faster and better decisions Who You Are: • You think in systems and build for long-term scalability, not quick fixes, • You take full ownership of data accuracy and reliability, • You move fast but don’t compromise data integrity, • You proactively identify issues and solve problems before they impact the business, • You collaborate effectively with both technical and non-technical stakeholders Experience & Skills: • 3–6+ years of experience in Data Engineering or similar roles, • Strong Python and advanced SQL (joins, aggregations, window functions, optimization), • Experience building and maintaining production-grade data pipelines, • Solid understanding of data warehousing concepts and data modeling, • Experience working with APIs, cloud infrastructure (AWS preferred), and modern data stacks Nice to have: • Experience in eCommerce or DTC environments, • Familiarity with tools like BigQuery, Snowflake, Redshift, dbt, Airflow, Fivetran, or Airbyte, • Exposure to marketing analytics (CAC, LTV, attribution models) Why Alpha Lion: Alpha Lion is a fast-growing, performance-driven brand focused on helping people unleash their Superhuman potential. We are building scalable systems, raising the bar on execution, and creating long-term competitive advantage in our category. This role offers the opportunity to work on high-impact initiatives, learn rapidly, and grow alongside a company that values ownership, curiosity, and results. If you’re excited by optimization, experimentation, and building systems that scale, Alpha Lion is a place where your work will matter. Application Process • Apply: Submit your resume + a brief note explaining why you’d crush it in this role., • Screen: TA team reviews for skills and cultural alignment., • Cultural + Behavioral: In this step, you will take a personality assessment to see how you will perform in the role, then review it on a call with a cultural specialist here., • Interview: Conversations with the hiring manager and team., • Final Round: Case study or work simulation (role-specific)., • Decision & Offer: We move fast — typically within 2–4 weeks. Compensation: We believe in competing at a high level — and that includes how we approach pay. This is a remote-first role, open to candidates anywhere in the U.S. The expected base salary range for this position is $50,000- 70,000 (USD). Your offer will reflect your experience, skill set, and where you live — we calibrate pay to ensure fairness and alignment with local markets. Beyond base pay, team members may be eligible for performance bonuses, growth incentives, and benefits built to support their health, wellness, and professional goals. Alpha Lion is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

About Niche Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. We are looking for an experienced, proactive, and systematic Senior Site Reliability Engineer to join the SRE team at Niche. As a Senior SRE, you will take ownership of reliability outcomes for critical services, lead incident response efforts, and mentor team members while driving improvements across our platform. You will architect scalable solutions, champion reliability best practices, and influence technical decisions across the engineering organization. Engineering focus will be placed on distributed systems, automation, observability, and cloud infrastructure across AWS and GCP environments. You will lead 24/7 on call rotations, drive incident resolution, and help shape the reliability culture that serves millions of users researching schools and colleges. What You Will Do • Own and architect cloud infrastructure across AWS and GCP, including EC2, EKS/Kubernetes, RDS, ElastiCache, S3, and networking components (VPCs, load balancers, DNS), driving improvements that increase reliability and reduce operational burden, • Lead the design and implementation of secrets management strategies using Hashicorp Vault and other tools, establishing organizational standards for secure configuration management, • Architect and evolve infrastructure-as-code practices using Terraform, driving adoption of patterns that improve consistency and reduce deployment risk, • Design and optimize deployment pipelines and CI/CD systems, troubleshoot complex deployment failures with Git and FluxCD, and establish best practices for safe, reliable releases, • Support database operations including migrations and performance tuning, • Own Kafka clusters and message queue systems, including architecture decisions, capacity planning, and troubleshooting complex processing issues, • Participate in 24/7 oncall rotations, responding to alerts, triaging incidents, and coordinating with development teams to resolve production issues, • Design and implement monitoring, alerting, and observability strategies using Prometheus, Grafana, Sumo Logic, and related tools, establishing organizational standards that catch issues before customers notice them, • Define and own Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services, balancing business needs with engineering resources, • Lead blameless post-mortems, write comprehensive incident analyses that teach others, and drive systemic improvements that prevent entire classes of incidents, • Champion access controls, IAM policies, and security configurations across cloud environments, ensuring infrastructure meets compliance and security requirements, • Identify and eliminate systemic sources of operational toil by designing automation, building self-service tooling, and improving developer workflows that scale the team's impact, • Lead AI-assisted automation initiatives to streamline SRE processes, implementing solutions that reduce toil and improve incident response, • Partner with product development teams as the reliability subject matter expert, providing architecture guidance, production readiness reviews, and proactive capacity planning, • Mentor and coach SRE team members, helping them develop technical skills and operational judgment through pairing, code review, and incident response shadowing, • Lead knowledge sharing initiatives, demos, and cross-team collaboration to elevate reliability culture and operational excellence across the engineering organization During the First Month: • Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings, • Shadow SRE team members to learn about our tech stack (AWS, GCP, Kubernetes, Terraform, Vault), the products we support, and our development standards, • Gain access to production systems, observability tools, and documentation, • Begin contributing to bug fixes, documentation improvements, and small infrastructure tasks for initial exposure and impact Within 3 Months: • Gain familiarity with our platform's underlying application stacks, deployment processes, and software development lifecycle, • Collaborate with SRE team members to implement new features and improvements within our infrastructure, • Participate in code reviews and provide constructive feedback on infrastructure changes, • Have the skills and knowledge to help analyze and resolve production issues, becoming a participant in oncall rotations, • Begin partnering with product development teams to provide platform reliability guidance Within 6 Months: • Continue gaining exposure to critical subsystems including databases, data automation, Kafka, task orchestration, and observability platforms, • Be an advocate for reliability standards within your product team partnerships, empowering developers to move faster with confidence, • Contribute to automation initiatives that reduce operational toil and improve team efficiency, • Support compliance efforts by maintaining security controls and contributing to audit evidence collection Within 12 Months: • Confidently troubleshoot and resolve complex production issues across our distributed systems, • Identify areas for improvement in our infrastructure, research best practices, and make recommendations to the team, • Use your growing knowledge of our applications to help developers implement changes that increase reliability, • Contribute to defining SLIs and SLOs for services and help establish observability coverage, • Practice and help define what it means to be an SRE at Niche What We Are Looking For * Required: • 5+ years experience with cloud platforms (AWS or GCP) and container orchestration systems (Kubernetes/Docker), • Experience with cloud networking concepts and services including VPCs, subnets, security groups, NAT gateways, VPC peering, load balancers, and DNS management (Route 53, Cloud DNS), • Strong programming skills in one or more languages (Python, Go, Bash) with demonstrated ability to build automation and tooling, • Advanced experience with Infrastructure as Code tools (Terraform, Helm, Ansible) including module design and organizational standards, • Deep understanding of Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, distributed systems), • Experience with SQL databases (PostgreSQL, MySQL, or SQL Server) including performance tuning and capacity planning, • Experience designing and operating CI/CD pipelines for reliable software delivery, • Track record of leading incident response and driving complex issues to resolution, • Demonstrated ability to mentor engineers and contribute to team technical growth, • Excellent collaboration and communication skills, with ability to influence technical decisions across teams Preferred: • Experience designing and implementing observability strategies using Prometheus, Grafana, Datadog, Sumo Logic, or similar platforms, • Deep understanding of SRE principles including SLIs, SLOs, error budgets, toil reduction, and reliability engineering practices, • Experience operating message queue systems (Kafka, RabbitMQ, or similar) at scale, • Experience with secrets management tools (HashiCorp Vault, AWS Secrets Manager) including design of organizational policies, • Experience with cloud systems infrastructure design, capacity planning, and cost optimization, • Interest in leveraging AI and automation tooling (such as MCP servers, agentic workflows, or LLM-assisted operations) to streamline SRE responsibilities, • Bachelor's degree in Computer Science, a related field, or equivalent experience Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: * Phone Screen with Talent Acquisition Partner - 30 Minutes * Video Interview with Hiring Manager - 45 Minutes * Team Interview - 45-60 Minutes * Leadership Interview - 30 Minutes We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. The work environment here is a hybrid one, with a mix of remote and in-person work, but being flexible is key. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Essential Job Responsibilities • Must have a strong working knowledge and experience developing Java based software capabilities., • Should have an inquisitive nature, responsiveness, and excellent testing skills., • Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines., • Will work in a fast-paced, small business environment with our talented team., • Security Clearance - A current U.S. Government Secret Security Clearance is required; U.S. Citizenship required. A current Secret or TS/SCI is a huge plus., • At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience., • Experience in designing enterprise APIs, • Experience in RESTful web services, • Experience in Microservices architecture, • Experience in Object Oriented Programming (OOP) paradigms, • Experience with the agile software lifecycle, • Has a proven ability to learn quickly and works well both independently as well as in a team setting, • Experience with the Linux operating system, • Experience with configuration management tools (e.g. Git, Nexus, Maven), • Must have a DoD 8140 / 8570 compliance certification (i.e. Security+), • A current TS/SCI is preferred., • Experience with NiFi, Kafka, AWS Infrastructure, and K8's., • Experience in cloud based technologies (AWS, Azure)., • Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr), • Scripting experience is a huge plus., • Prior experience or familiarity with our Big Data Platform is a plus., • Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) Compensation At IAMUS Consulting, we're building a team of like-minded individuals who aren't afraid to work hard and support one another to achieve greater results. Fostering an environment where high-caliber employees can shine means that we offer benefits and support for our team both in the office and beyond. Our benefits include health insurance, life insurance, disability insurance, financial and retirement plans, paid leave, professional development, tuition assistance, and dependent care. Salary at IAMUS Consulting varies based on location, education, skills, experience, as well as contract-specific affordability. The estimated salary range for this position is between $134,000 and $238,000. This estimate is one part of IAMUS Consulting's overall compensation package.

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The primary role of the Software Engineer 2 is to drive research, modernization, and innovation initiatives across mission-critical systems. This role focuses on evaluating existing production environments, identifying modernization opportunities, and delivering rapid, validated solutions through structured trade studies and short-duration experiments. You will collaborate directly with mission stakeholders to assess system gaps, design fail-fast experiments, and lead proof-of-concept development efforts that influence long-term architectural direction. Your work will directly impact modernization strategies, cloud adoption, and enterprise re-architecture efforts. Limited telework available Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). • Engage with mission stakeholders to identify operational challenges and modernization opportunities, • Conduct trade studies and produce detailed technical research reports with actionable recommendations, • Design and execute short-duration (one-week) fail-fast experiments to validate feasibility, • Lead development of proof-of-concept solutions within six-week timelines, ensuring weekly demonstrable, • milestones, • Provide accurate time, scope, and resource estimates to maintain mission schedules, • Collaborate with cross-functional teams to integrate successful prototypes into operational environments, • Plan and support replatforming, rearchitecting, and refactoring of monolithic applications into cloud-native, • solutions, • Apply secure authentication, authorization, and PKI principles within modernized architectures, • Continuously evaluate emerging technologies and propose innovative mission-aligned solutions, • TS/SCI with agency appropriate poly, • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience, • Minimum 14 years of relevant experience in software engineering, modernization, or solution architecture, • Strong proficiency in Java, Python, and JavaScript (ReactJS), • Experience with AWS services including EC2 and S3, • Hands-on experience with REST-based services and modern API development, • Experience with the Atlassian Tool suite of software development and management products (Confluence, • and Jira), • Familiar with SAFe Agile principles, methodologies, and best practices, • Experience with system administration of solutions related to metrics and monitoring, including Splunk, • Experience configuring and sustaining VMware ESXi/Virtualization environments, • Experience with IaC principles and automation tools including Ansible, • Experience with containerization and orchestration tools such as Docker and Kubernetes, • Strong understanding of authentication and authorization frameworks including OAuth2 and OpenID Connect, • Experience working with PKI and certificate management, • Experience working in Agile development environments, • Must meet LCat Capabilities Requirements, • Experience conducting modernization trade studies and architectural assessments, • Experience with graph databases such as Amazon Neptune or Neo4j, • Familiarity with AI/ML tools such as TensorFlow, PyTorch, or Hugging Face, • Experience with GoLang, • Experience with Grafana, • Experience with identity and access management platforms such as Keycloak, • Experience with CI/CD tools including Jenkins, GitLab CI, or GitHub Actions, • Familiarity with build tools such as Maven, • Experience designing scalable, cloud-native architectures for mission systems, • Ability to interpret ambiguity and translate high-level needs into technical solutions, • Comfortable guiding junior developers and organizing tasking within collaborative teams, • Experience working in fast-paced, evolving mission environments, • A Choice of Medical Plan Options, some with Health Savings Account (HSA), • Vision and Dental, • Life and AD&D Benefits, • Short and Long-Term Disability, • Hospital Indemnity, Accident, and Critical Illness Insurances, • Optional Identity Theft and Legal Protection Services, • Employee Referral Bonus Eligibility up to $10,000, • Mobility Among Wyetech-supported Contracts, • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS, • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.

As a Solutions Engineer, you will be the primary technical resource for our Mid-Market Accounts team. You will share your product and technical expertise through presentations, product demonstrations, and technical evaluations (Proof Of Values). As the technical expert, you will work with clients to understand their requirements and pain points, then design the right solution for their business needs. During the sales cycle you will guide clients through trials and POVs, demonstrating Sumo Logic’s ability to meet and exceed their requirements and building a positive relationship that will provide continuous value to our customers. Finally, you will have the opportunity to work cross-functionally with our Product Management and Engineering teams to share your knowledge and experiences to ultimately improve our business and our customers’ success. We seek talent who wants to leverage their technical and people skills to help deliver solutions to clients directly and become a trusted advisor in the process. Above all else, you should be highly self-motivated and extremely curious to learn more Sumo Logic and the vast problems that it can solve. Responsibilities • Partner with the Account Executives to understand customer challenges and mains, and articulate Sumo Logic’s value proposition, vision, and strategy to customers, • Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility, • Understand and help orchestrate all phases of the sales cycle, including leading technical validations during the Proof of Value phase, • Be successful working with all levels of an organization, from executives down to individual developers and Site Reliability Engineers, • Deliver product and technical demonstrations of the Sumo Logic service, • Work cross functionally with Product Management and Engineering to improve the Sumo Logic service based on your experience with customers Requirements • B.S. in Computer Science, Engineering, or a related field; M.S. in Computer Science, Engineering, or a related field (preferred), • 2+ years as a Solutions Engineer (preferred), Solutions Architect (preferred), Sales Engineer (preferred), Implementation Consultant, Support Engineer, Site Reliability Engineer, or a Software Developer with experience leading projects and/or working with customers, • Hands on knowledge of Security related products, technologies, and sources such as IDS/IPS, SIEM/Log Management, Network / Endpoint Security, Threat Detection, Incident Response, MSSP/MDR, Threat Feeds, CASB, etc, • Experience with open source collections (Telegraf, FluentBit, FluentD, Open Telemetry, etc.) (preferred), • Experience with leading and running technical validations like Proof of Value (preferred), • Experience selling and working with pure SaaS solutions in multi-tenant architectures, • Experience with Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure (certification is preferred), • A broad background and understanding of technical infrastructure (servers, networking devices, storage, etc.), • Modern application architecture (micro-services, containers) understanding and experience working with Kubernetes, Docker, and/or Lambda (preferred), • Experience with various monitoring tools like Splunk, Datadog, Elastic, New Relic, etc. (preferred), • Comfortable working in a dynamic, fast-paced startup environment and experience at a successful startup (preferred), • Strong written and verbal communication skills, as well as business and technical acumen Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit___ ___. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection. The expected annual base salary range for this position is $114,000 - $133,000. Compensation varies based on a variety of factors which include (but aren’t limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards. Must be authorized to work in the United States at time of hire and for duration of employment. At this time, we are not able to offer nonimmigrant visa sponsorship for this position. #LI-REMOTE

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

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 infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. 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$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 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___.

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. The Sr. Field Application Engineer (FAE) will be part of a growing, dynamic, highly-focused team responsible for developing new or existing opportunities in the global IT market. The FAE will be required to work with customers from ground to executive-level, manage projects hand in hand with internal and external teams, and help grow the business whenever possible. Customer and solution focus, are two key factors for this position, as well as business continuity and support. The FAE must work with multiple departments to ensure new projects and existing projects are initiated or maintained towards customer requirements. Includes the following essential duties and responsibilities (other duties may also be assigned): • Work closely with end customer(s) to understand requirements and drive internal teams to provide optimized technical solutions, • Provides technical leadership in Pre-Sales and oversee implementation of such solutions, • Highly technical problem solver who understands system architecture, hardware and software interaction, • Should possess basic hardware architecture understanding and debug skills, • Manage and leads teams during investigation and resolution of problems in the field, • Has a good understanding of firmware, drivers, OS, Applications and their interaction that can cause system issues, • Work cross-department to ensure customer satisfaction and timely resolution of issues, • Ability to build and demonstrate proof-of-concept that meets or exceeds customer business needs, • Ability to present the corporate brand, product messaging and solutions to customers, • Visit on-site facilities and operations to enable solution integration and issue resolution, • Some travel required (up to 25%), • Bachelors' or Masters' degree in engineering discipline; computer science, computer engineering and electrical engineering preferred, • Minimum 8+ years of related experience with Compute/Storage Server or Data Center or IT Infrastructure experience desired, • Familiarity with BMC, Remote Management, Redfish, BIOS , GPUs, AI/ML, Liquid Cooling and data center operations, • Excellent communication skills and business sense required, • Strong background and experience with x86-based server architecture, • Solid hardware system understanding and diagnostics skills, • Strong technical communication and leadership skills to drive investigations with engineers of multiple disciplines, • Individual must be able to work effectively and independently in high pressure environments $145,000 - $165,000 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.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

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. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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, 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:$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.

Senior AI Engineer (REACT/Front End) Location: Hybrid, USA (Birmingham, MI, Chicago, IL, New York, NY, Fort Lauderdale, FL) Employment Type: Full-Time Compensation: $120,000 - $149,750,000 (Range applies to US candidates only) + Benefits/Variable Comp/Equity - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K Summary As a Senior AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your primary function will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Design software subsystems and lead the project management and timely execution., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead technical design sessions to decompose and design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience., • 3-5 Years of Python (or similar experience)., • Proficiency in Database schema design., • Proficiency of distributed systems and cloud-based computing. Preferred Education and Experience • Experience with web services and API frameworks (Flask, FastAPI, etc.)., • Knowledge of distributed systems and cloud-based computing. Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies., • Ability to multi-task and prioritize ongoing activities based on importance., • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)., • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule., • Capable and comfortable effectively presenting in front of your peers., • Comfortable engaging and presenting to C-level executives from time to time. Travel • Minimal travel is required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits., • Core value of customer success., • Variety of project work (not industry-specific)., • Strong culture andcamaraderie., • Multiple training opportunities. Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan., • Dental & Vision Insurance., • Life Insurance., • Short & Long Term Disability., • Vacation Time., • Paid Holidays., • Professional Development., • Retirement Plan. All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) 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 Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. 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:$216,000—$270,000 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.

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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.

Lead AI Engineer Location: Hybrid, USA Employment Type: Full-Time Compensation: $138,000.00 - $172,000.00 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. Summary As a Lead AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your functions will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. You will also oversee driving product direction within the team. As a Lead AI Engineer you will lead engineers through the product development lifecycle, effectively being able to convert business requirements into a successful product launch. In this position, you will also play a key leadership role, collaborating with cross-functional teams. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead design sessions to decompose a business problem into a design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Interact, collaborate, and present to a diverse set of stakeholders (developers, sponsors, executives) to deliver AI products, • Must be a self-starter, continuously learning both best code practices and the latest applications and failures of AI in products, and domains of the products you integrate our AI capabilities into., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer to ensure the reliability of the AI integrations delivered., • Develop both client-side and server-side parts of an application., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelor's degree or similar work experience, • CS/DS/EE/CE Degree or similar experience, • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience, • 3-5 Years of Python (or similar experience), • 3-5 Years of frontend development experience, • Proficiency in database schema design, • Proficiency of distributed systems and cloud-based computing Preferred Education and Experience • Proven delivery of product solutions from idea to deployment, • Experience with webservices and API frameworks (Flask, FastAPI, etc.) Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies, • Ability to multi-task and prioritize ongoing activities based on importance, • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.), • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule, • Capable and comfortable effectively presenting in front of your peers, • Comfortable engaging and presenting to C-level executives from time to time Travel • Minimal travel will be required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits, • Core value of customer success, • Variety of project work (not industry-specific), • Strong culture andcamaraderie, • Excellent Medical Plan, • Dental & Vision Insurance, • Life Insurance, • Short & Long Term Disability, • Vacation Time, • Paid Holidays, • Professional Development, • Retirement Plan All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-Remote #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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 Location: Remote Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. 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$110,400—$213,000 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___.

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___.

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 Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. 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$110,400—$213,000 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___.

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurringtrends and patterns over time,and staying competitive by implementing predictive actions for their business that willyieldpositive outcomes. Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers. As aCloudera Solutions Engineer, you will help customers be successful in deploying the CDP platform. You will utilize your strong technical skills, business competencies and customer service orientation, provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals. Job Responsibilities: * Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO * Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers * Advise customers on use case patterns through discovery and requirements workshops * Transform customer feedback into actionable product roadmap items * Work with teammates and management to define technical selling strategy * Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories Qualifications: * 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise. * You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). * You have demonstrated problem solving and analytical skills. * You have experience in Solution Architecture/Engineering as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value * You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for bothdata management and data access * You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification. * You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking). * You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration * You have some knowledge of differentiators across the competitive landscape * You have some basic software development experience in Java, Scala or Python * You may have experience with Data Flow, Queues and Stream Processing (Nifi,Kafka, Flink, Spark) in enterprise applications * You have an interest in Data Science and understand the difference between Data Engineering and Applied Science * You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you * Bachelor's Degree or equivalent experience in a Technical Field Bonus Skills: * You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise * Experience with, and interest in, open-source software and development practices * NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybeyou can even debate one option over another? * EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.) * Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.) The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We're looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: • Build and mature database foundations for Scale, leveraging industry-standard platforms., • Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Mentor other engineers and become deeply involved in architectural design and database best-practices., • Improve our high engineering standards, tooling, and process., • Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs., • Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale., • Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: • 5+ years of industry experience as a database engineer post graduation., • Engineering experience with building real-time and distributed system architecture., • Experience designing and self hosting databases on industry standard public cloud platforms, • Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis, • Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication, • Experience developing and optimizing backup and restore functionality to meet RTO goals, • Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)., • Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: • Prior startup experience to help us grow responsibly., • Experience with AWS, Datadog, ElasticSearch, • Experience with cloud-based data warehouse solutions like Snowflake or Databricks., • Experience with cost optimization strategies and techniques for database platforms., • Experience developing and designing intermediary data abstraction layers. 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.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. 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 Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. 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 that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes 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.

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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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.

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North America, Western Europe, and Israel, serving the world's leading technology and hyperscale companies. With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform we're positioned for explosive growth as AI adoption and cloud migration drive unprecedented demand for data center capacity. A career at Serverfarm means being at the forefront of digital infrastructure innovation, where your work directly impacts how the world's data is managed and secured. As we target 4x growth over the next four years, you'll have unprecedented opportunities to take on new challenges, develop cutting-edge skills, and grow your career across our expanding global operations. Join our team of innovators and help shape the future of sustainable data centers while building a career without boundaries. • Develop and maintain global consistent colocation design standards to drive equivalent resilience in new and existing data centers., • Support the deployment of new ServerFarm products in colocation data centers in a consistent way, including liquid cooling and high-density racks and systems to support hyperscale requirements for Cloud-compute, Machine Learning and AI services., • Reviews and updates global design standards and generational data center template designs., • Support development and operational engineering teams to review and accept proposed changes to site-specific infrastructure at ServerFarm data centers to validate standards, and to identify and document Accepted Deviations when appropriate., • Work with internal and external global teams to drive consistent standard solutions to expedite review processes and drive cost efficiency., • Set up global strategies to deploy specific customer products or design, and to drive consistency and efficiencies for delivering customer requirements. Functionally decompose complex problems into simple, straight-forward solutions., • Documentation, release and management of design guides, standards, specifications and procedures., • Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members, • 35% domestic and international travel., • Bachelor’s degree in electrical or closely aligned engineering discipline, or commensurate industry experience or military experience in lieu of degree may be acceptable., • 6+ years of electrical non-intern engineering experience in Mission Critical facilities including, but not limited to: data centers, power generation, oil/gas, and other mission critical facilities and/or infrastructure. (Experienced Engineer), • 2+ years of experience defining system-level architecture, performance, and equipment requirements, conceptual designs, project documentation and project delivery and hand-off., • Chartered or Professional Engineer (PE)., • Experiene of working with large global data center providers in multiple regions globally., • Knowledge of local building codes and safety regulations in multiple jurisdictions, • Ability to develop new concepts through exploration, design, testing and into deployment/mass production., • Proven track record in creating and releasing high quality, consistent documentation for processes, standards and procedures., • 5+ years of leading root cause analysis of equipment or system failures as well as incident support management, • Knowledge of critical data center equipment (Generators, Uninterruptible Power Supplies, Switchgear, Transformers, Power Feeders, Chillers, Plumbing, Fire Detection/Suppression, Air Handling Units, Computer, • Room Air Handling/Conditioning Units, Chillers, UPS, CRAH, CRAC...), • Demonstrated knowledge of electrical design codes in different locations, knowledge working with SPOF, • Strong record of mentoring and growing teams

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. TTEC Digital and Five9 have a long-standing partnership centered around delivering world-class AI-powered contact center solutions. Five9provides the cloud-native CCaaS technology while TTEC brings deep CX consulting, integration, deployment and optimization expertise! TTEC Digital is hiring an experienced Five9 Principal Consultant, Implementation Engineer for implementation and delivery in our Professional Services organization. This is a remote role, based in the US and will report to the Executive Director of Technology Consulting. You will configure the core Five9 Intelligent CX Platform, build integrations with third party applications such as CRM and ITSM systems, and perform end to end testing to ensure solutions function as designed. This hands on, execution focused role requires Five9 configuration experience and a developer background to build API integrations and customize JavaScript/HTML scripts. You will work across the Five9 product suite including VCC, IVR/IVA, WFA, QM/WEM, digital channels, and CRM/partner integrations while delivering high quality complex configurations and successful deployments for TTEC’s enterprise clients. • Configure Five9 VCC and IVA applications according to solution specifications from Solution Architects and Business Analysts, following established best practice guidelines., • Build and maintain inbound and outbound campaigns, queues, skills, routing profiles, dispositions, pacing, dialing logic, and related system settings., • Configure IVR/Studio IVA flows, including nested call paths, external variables, context tables, foreign scripts, and Studio based IVA logic., • Implement WFA, QM/WEM, AI Insights, Agent Assist, Guidance Cards, Knowledge, dashboards, reports, and Supervisor Desktop configurations., • Perform thorough configuration testing and validation prior to customer UAT or deployment., • Build, test, and troubleshoot connectors, REST/SOAP API integrations, data mappings, and webhooks for CRM/ITSM integrations including support for OAuth/SAML authentication flows, error handling and payload parsing., • Write and maintain JavaScript/HTML/CSS customizations (DOM manipulation, iframes, cookies, UI logic, and embedded components)., • Configure CRM/ITSM integrations such as Salesforce, Dynamics, ServiceNow, Zendesk, NetSuite, and Velocify., • Troubleshoot issues across Five9 components and diagnose cross layer problems spanning application, browser, network/SIP/RTP/VoIP, and telecom. Perform log capture, scenario reproduction, and root cause analysis, collaborating with senior engineers/architects on complex issues., • Participate in client calls and technical working sessions, communicating progress, blockers, and status updates clearly to project managers and architects., • Document configuration decisions, integration logic, test cases, and operational details, and contribute to internal best practice libraries, reusable assets, and configuration templates., • BA/BS in computer science, IT, engineering, or equivalent experience., • 3+ years of experience working as a Contact Center Professional Services Consultant, • 3+ years of direct, hands on experience implementing or supporting the Five9 Intelligent CX Platform., • 3+ years of experience configuring IVR/IVA in Five9 Studio., • 1+ year of experience with CRM integrations (Salesforce, Dynamics, ServiceNow, Zendesk, NetSuite, Velocify)., • Developer skill set, including:, • Building and debugging REST/SOAP APIs, webhooks, and event driven integrations, • Writing custom JavaScript/HTML/CSS for UI and integration behaviors, • Calling and orchestrating third party APIs (authentication, pagination, error handling, retries), • Strong understanding of contact center fundamentals and CCaaS concepts., • Ability to troubleshoot across application, network, and telecom layers., • Excellent communication, documentation, and customer engagement skills., • Ability to manage multiple configurations, deadlines, and deliverables with minimal supervision., • Experience with WFA, WEM/QM, Agent Assist, Guidance Cards, Knowledge, and reporting dashboards., • Basic server side experience (___, .NET, PHP, or Java) for integration utilities or middleware. About UsTTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage. We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries. TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity. Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications. #LI-RemoteWe 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.

Location: Remote, Raleigh or Charlotte, NC About the Role Home Solutions, a Three Ships company, seeks a Staff Engineer to lead the development of intelligent, automated systems that power lead management, partner integration, and ad targeting infrastructure. As part of a lean, high-performing team, you’ll work at the intersection of back-end engineering, data architecture, and business-critical platforms. You will play a pivotal role in building and owning scalable solutions that unlock growth across the company’s digital properties. You will work closely with business stakeholders and product leads to bring predictive decisioning and AI-native systems to life - having a meaningful impact to our business. Your Day-to-Day • Own and evolve core back-end systems including:, • Lead Management Platform – intelligent routing, partner integrations, and auction systems., • Ad Targeting Systems – real-time pipelines that power data syncing with platforms like Google, enable intelligent ad targeting, and drive performance optimization at scale., • Design and implement scalable services using Elixir Phoenix LiveView, SQL, and AWS., • Partner with Data Science, Product, and Business stakeholders to integrate predictive models into system logic., • Champion engineering best practices around testing, code quality, documentation, and security., • Bring an “AI Superuser” mindset - leveraging and championing tools that improve velocity and insight., • Help drive clarity and critical thinking on tech strategy to meet business goals. About You • 5+ years of experience as a full stack engineer , with a strong track record of owning and shipping production systems., • 3+ years of hands-on experience with Elixir Phoenix LiveView in production systems., • Strong SQL skills and experience with PostgreSQL in high-volume environments., • Experience deploying systems in the cloud, preferably AWS., • Full stack experience, with strength in back-end systems and strong working knowledge of data pipelines., • Strong problem solver and critical thinking mindset., • Effective communicator - able to collaborate closely with business stakeholders and translate engineering concepts., • Bonus if you have experience with JavaScript and Python., • Comfortable working in a fast-paced, high-accountability environment., • You love autonomy, take pride in quality, and are always looking for leverage through automation or AI., • Alignment with our core values: Grow Without Limits, Get After It, Act With Focus, and Build The Team. While we’re looking for some specific experiences and skillsets, nothing is more important than a strong can-do attitude, resilience in the face of change and uncertainty, and a passion for learning and creating. About Us Launched in Fall 2017, Home Solutions targets the rapidly digitizing home services vertical and matches homeowners with the right service provider to meet their needs. Our purpose is simple: Simplify Home Services. We aspire to transform the way homeowners and end-service providers engage. Through our media, alerts, and brand solutions, Home Solutions has a proprietary audience of 47M+ homeowners and prime real estate in search engines. We are on a mission to make homeownership easier by creating high quality content that pairs consumers with providers in a range of related categories. Home Solutions was incubated within Three Ships, a growth equity firm that launches and invests in digital companies, builds great leadership teams, and helps them rapidly scale. The Three Ships portfolio includes several businesses and over 50+ websites that help consumers navigate choices through online marketplaces. Headquartered in Raleigh and Charlotte, we are always looking to find the right people to help us continue to grow this business and place a high value on teammates with a growth mindset and a "get after it" mentality. Why You Should Join Us • Results: Home Solutions is the fastest-growing marketplace company in the home services category., • Opportunity: Home services is a $600 billion market that largely still operates like it’s 1999. During the next decade, we anticipate a huge digital transformation in the category, and marketplace companies will lead the way., • Ownership & Impact: We seek talented people with the desire to own and run parts of the business that drive company performance. Leadership is fully aligned and incentivized around our growth-focused mission., • Exposure & Learning: You will have a front-row seat in growing a business. Your teammates have built and sold companies, managed 100s of employees, and run campaigns with Fortune 500 brands. The opportunity to build new skills and learn from smart people is endless., • Career Growth: There is no cap on growth, promotions, or the opportunity to own and put your stamp on important projects. Prove your value and you will be rewarded accordingly., • Stability: We are privately owned, have no debt, and have significant cash to invest – we’re “rock-solid” financially., • Fun: The team has a high bar for excellence, but also a real interest in each other and making work fun. The Package We offer a competitive base salary based on experience. As a full-time team member at Home Solutions, you'll also enjoy a comprehensive benefits package, including health, medical, and vision insurance, a 401(k) match, short-term disability coverage, and a cell phone reimbursement. Additionally, we support your well-being and growth with flexible time off, a bi-annual $500 Relax & Recharge bonus, a learning and development stipend, and a Charity Match program to give back to causes you care about. EEOC Statement All applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, gender identity, or any other discriminatory factors. Please note that we do not provide immigration sponsorship for this role. All offers are subject to a background check.

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. Platform Engineering is a family of teams focused on creating and supporting the tools used by all Application and Service Developers at Stitch Fix. We focus on creating low friction tools and practices to maximize developer happiness. We believe happy developers write better code. We practice modern platform practices like Infrastructure-as-Code, Immutable Infrastructure, use of Containers, and leverage AWS as well as many other Cloud SaaS offerings. As a Platform Engineer, you will contribute to building and improving Stitch Fix’s cloud-native infrastructure and internal developer tooling. You’ll work on tools and automation that help product engineers deploy, operate, and debug services more easily, while learning modern platform engineering practices alongside experienced teammates. This role is ideal for engineers who enjoy improving developer experience and want to grow their skills in cloud infrastructure and CI/CD systems. • Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers, • Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity, • Collaborate with platform and application engineers to identify friction points and implement incremental improvements, • Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines, • Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows, • Have opportunities to propose ideas and improvements, with support and mentorship from the team, • Have 2+ years of software development and infrastructure experience with significant contributions, • Have experience with AWS or other cloud-based providers, • Have experience with container orchestration, CI/CD, or production observability (deep expertise not required), • Enjoy debugging systems, understanding how things work, and improving reliability over time, • Can break down problems and implement solutions with guidance, • Have strong developer empathy and care about improving the developer experience Things you'll get exposure to (and we don't expect experience with everything): • AWS, • Terraform, Pulumi, • CircleCI, • Docker, ECS, EKS, • Ruby, Golang, Python, • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix., • We cultivate a community of diverse perspectives— all voices are heard and valued., • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail., • We win as a team, commit to our work, and celebrate grit together because we value strong relationships., • We boldly create the future while keeping equity and sustainability at the center of all that we do., • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact., • We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary and benefits. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range $88,100 - $147,000 USD ___ leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ___

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva. The Role We are currently seeking a Staff Software Engineer to join the Investment Data Platform team! In this role, you will own the opportunity to architect and implement the next-generation compute platform, tackling complex scalability challenges to meet the demand of Addepar’s exponential growth and global expansion. We are looking for a passionate and self motivating software engineer who cares deeply about code quality, performance, and building high-scale systems. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $174,000 - $273,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. Who You Are • 8+ years of software engineering experience, • Proficiency in object-oriented languages such as Java, • Proficiency in at least one cloud-native or messaging technology such as Kubernetes, Istio, containerization, Kafka, etc., • Proficiency with relational and non-relational datastores, • Proficiency in CI/CD, monitoring, and logging systems, • Expertise in any of the above technical requirements is a huge plus! Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes., • Build Together - Collaborate to unlock the best solutions. Deliver lasting value., • Champion Our Clients - Exceed client expectations. Our clients’ success is our success., • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry., • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ___.

⚡️ Why Altium? Altium is transforming the way electronics are designed and built. From startups to world’s technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. • Constant innovation has created a transformative technology, unique in its space, • More than 30,000 companies and 100,000 electronics engineers worldwide use Altium, • We are growing, debt-free, and financially strong, with the resources to become #1 in the EDA industry Why A365 Software Engineering? Build the cloud platform that’s transforming electronics design. Altium 365 for cloud lets design engineers communicate, collaborate and bring their ideas to market more efficiently than any platform in the industry. These are some of the R&D Software Engineering contributions you might make to Altium 365: • Building new cloud-native applications and scalable infrastructure, • Utilizing AI and ML to power advanced search capabilities, • Large-scale data processing; data modeling; holistic, intent-based API design, • Stateful and stateless servers, relational databases, ORM frameworks Altium offers the opportunity to conceive and build new product features for electronics engineers, and add your own ideas to the world’s most collaborative and efficient electronics design platform. A day in the life of our Software Engineer As a Senior .NET Developer, your primary role will be product development for complex cloud applications with the Altium 365 R&D team. Who We’re Looking For • Work with a tech stack of .NET Core, AWS, multi-tenant architecture, and distributed high load systems., • Handle tech challenges different from most others on the market, a mixture of complex engineering software, microelectronics and cloud services, • Add to the team’s expertise through collaboration and sharing knowledge Required Technology Experience • .NET Core, .NET Framework., • Microservices., • CI, CD, Jenkins, Docker, Kubernetes., • MySQL (FireBird, Oracle as a plus). Will be a plus: • AWS, EC2, ECS, RDS, etc. - or Azure/GCP, • Multi-tenant architecture Location: Poland only (remote mode) OUR BENEFITS: • 🏥 Private medical insurance, • ❤️ Group life insurance, • 🏦 Contributions to your Kafeteria MyBenefit account, • 🧘 nilo.health, mental health and wellbeing support, • 📚 Professional development support, • 🥳 Employee referral and employee-of-the-month programs, • 🖥 Home internet allowance, • 🏡 Flexible working arrangements available based on role and location, • 🥪 Free lunch on Tuesdays, snacks, and drinks in the office, • 🚗 Free parking 🎯 What Matters to Us • Big-thinking in pursuit of purpose, • Diversity of thought, • Courage of conviction, • Transparency of intent, • Ingenuity of AND, • Agility in action, • Adaptability of approach, • Grit in pursuit of mission 🌍 Also, we would like you to know We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 💡 Learn more about why a career at Altium is an opportunity like no other: ______ ✈️ Altium Benefits: ___ 👏 Are you already an Altium employee? Please apply directly through our ___ If you have questions, please contact HR.

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. As Head of Customer Experience at Tiger Data 🐯, you will lead the teams responsible for how customers adopt, grow, troubleshoot, and succeed with Tiger Data after they buy. This is a pivotal role for a pivotal moment. Tiger Data is expanding into larger enterprise accounts, and we need a senior customer leader who can help us build the operating system for that next stage of growth: how we serve customers, how Customer Success and Technical Support work together, how we partner with Pre-Sales and Implementation, how we surface customer signal back into Product and Engineering, and how we turn great customer experience into retention, expansion, and trust. This is not a “manage from the sky” role. You’ll lead managers and build scalable systems, but you’ll also be close to the work: jumping into customer escalations, pressure-testing processes, coaching leaders, inspecting account health, and helping the team make crisp decisions when the playbook is still being written. We need someone who can zoom out to design the system, then zoom back in to fix the handoffs, coach the team, and help unblock a customer escalation. You will report to our VP of Engineering and lead the Customer Success and Technical Support organizations. 📍 This role is remote. We are open to candidates in North or South America. Due to the distributed nature of our team and customer base, flexibility working across Europe and US time zones is a requirement. What you will be responsible for in this role: * Leading Tiger Data’s Customer Success and Technical Support organizations, including managers and highly technical customer-facing teams. * Building and operationalizing Tiger Data’s customer experience strategy for our next phase of growth, especially as we expand into larger enterprise accounts. * Partner to define clear ownership across Customer Success, Technical Support, Pre-Sales, Implementation, Sales, Product, and Engineering so customers experience one Tiger Data team, not internal handoffs. * Designing customer segmentation, engagement models, escalation paths, support coverage, success planning, health scoring, and renewal/expansion motions that scale. * Driving measurable improvements in adoption, retention, gross revenue retention, net revenue retention, expansion, customer satisfaction, time-to-resolution, support quality, and executive visibility into customer health. * Acting as the executive voice of the customer internally, turning customer trends, escalations, support patterns, and adoption signals into clear recommendations for Product, Engineering, GTM, and company leadership. * Building the next generation of customer operating rhythms: QBRs/EBRs, escalation reviews, customer health reviews, renewal risk reviews, expansion planning, support quality reviews, and executive customer reporting. * Coaching and developing managers while staying hands-on enough to understand the reality of the team’s work, customer pain points, and operational gaps. * Using AI thoughtfully to improve the customer experience and team productivity, including support workflows, knowledge management, customer health insights, escalation analysis, team enablement, and customer communication quality. * Hiring, developing, and retaining high-performing customer leaders and individual contributors who can operate with urgency, technical curiosity, ownership, and customer empathy. * Building systems and processes that make the team sharper, faster, and more accountable, without slowing down the startup pace that makes Tiger Data work. You could be a great fit if you: * Have significant experience leading Customer Success, Technical Support, Customer Experience, or post-sales teams in a high-growth B2B SaaS, infrastructure, database, developer tools, cloud, or technical platform company. * Have managed managers and led teams that include highly technical customer-facing talent, such as Technical Support Engineers, Customer Success Managers, Solutions Engineers, TAMs, or similar roles. * Have built or transformed post-sales operating models for enterprise customers, including segmentation, health scoring, adoption motions, renewal risk management, support models, escalation processes, and expansion partnership with Sales. * Understand how to serve technical customers. You do not need to be an engineer, but you need enough technical depth to build credibility with database, infrastructure, platform, and developer audiences. * Can operate at both strategic and tactical altitude: you can define the customer experience vision, communicate it to executives, and then jump into the messy details of churn risk, support escalations, or broken handoffs. * Have strong executive presence with customers and internal leaders, including the ability to navigate high-stakes escalations, renewals, expansion conversations, and roadmap trade-offs. * Know how to partner deeply with Sales, Pre-Sales, Implementation, Product, and Engineering without creating turf wars. You clarify ownership, reduce friction, and make the customer journey easier to run. * Are highly metrics-driven and can use data to diagnose customer risk, support quality, adoption patterns, renewal health, expansion opportunities, and team performance. * Have strong AI fluency and curiosity. You are already using, testing, or designing AI-enabled workflows to improve productivity, insight quality, customer communication, knowledge management, or operational scale. * Are a strong talent builder: you know how to coach managers, set a high bar, give direct feedback, build accountability, and create a team culture that is both high-empathy and high-performance. * Thrive in a startup environment where the job is not just to “own the function,” but to build the function while the company is moving fast. * Believe that organizations are strongest when they reflect the diversity of the world around them and actively work to make that a reality. You might not be a great fit if you: * You want a fully mature enterprise CS and Support machine where the systems, roles, handoffs, dashboards, and escalation paths are already neatly defined. * You prefer to manage through layers and dashboards instead of getting close to customers, managers, tickets, escalations, renewal risks, and process gaps. * You are uncomfortable with technical products or do not want to learn deeply about databases, PostgreSQL, cloud infrastructure, performance, reliability, or developer/customer workflows. * You see Customer Success, Technical Support, Sales, Implementation, Product, and Engineering as separate lanes rather than a single, connected customer experience. * You are more comfortable creating a strategy than driving execution, inspecting the work, and holding teams accountable for outcomes. * You struggle in fast-moving startup environments where priorities shift, information is imperfect, and leaders are expected to make clear decisions without waiting for perfect structure. * You are not excited about using AI to improve how customer-facing teams operate, learn, respond, and scale. * We respond to every applicant. * We review applications fairly and objectively, and shortlist based on relevant skills and experience. * We ensure clear and timely communication throughout your candidate journey. * We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:___ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at______ or follow us on Twitter______ (Please note that benefits may vary based on country.) * Flexible PTO and comprehensive family leave * Fridays off in August 😎 * Fully remote opportunities globally * Stock options for long-term growth * Monthly WiFi stipend * Professional development and educational resources 📚 * Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯