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Job Description Job Description Work Hours: 8-5 Mon-Fri, occasionally need to support different shift hours and on call. Job Posting Title: On-Site Service Engineer - Data Center / Server Hardware Seeking an experienced On-Site Service Engineer (OSE) to provide hands-on support for enterprise data center servers and hardware environments, including next-generation AI infrastructure. This is a hands-on server hardware and break/fix role. The successful candidate will have direct experience diagnosing, repairing, replacing, and maintaining enterprise server hardware in a data center, field service, or customer-facing environment. Prior AI experience is not required. Strong experience with enterprise servers and data center hardware is the priority. What You'll Do Provide on-site technical support for Dell PowerEdge and other enterprise server hardware Diagnose and resolve server hardware failures and system issues to minimize customer downtime Perform hands-on hardware installation, removal, replacement, and repair, including: Memory/DIMMs CPUs/processors Power supplies Fans and cooling components Hard drives/SSDs RAID/HBA components NICs and other PCIe components GPUs and accelerator hardware Motherboards/system boards and other server components Perform rack-and-stack, server installation, cabling, component swaps, and hardware configuration Troubleshoot issues involving server hardware, BIOS/firmware, operating systems, and hardware diagnostics Perform firmware and BIOS updates and utilize server management tools such as Dell iDRAC or comparable platforms Execute both reactive break/fix and preventive maintenance following established procedures Troubleshoot and isolate hardware failures using documented diagnostic procedures and technical resources Work directly with customers and internal technical teams during service events to communicate status, troubleshoot issues, and drive resolution Accurately document service activities, hardware replacements, troubleshooting steps, and resolution details Escalate complex technical issues when appropriate Participate in on-call rotations and provide extended coverage as required Required 3+ years of hands-on experience supporting enterprise servers, data center hardware, or similar infrastructure Direct, hands-on experience physically working on server hardware - installing, removing, diagnosing, repairing, or replacing server components Experience troubleshooting and replacing components such as memory, CPUs, power supplies, storage, RAID/HBA, NICs, fans/cooling systems, PCIe components, or GPUs Experience working with rack-mounted enterprise servers in a data center, field service, or customer environment Strong understanding of server hardware architecture and troubleshooting methodology Experience with hardware diagnostics, BIOS/firmware, and server management tools Familiarity with Linux or similar operating systems Strong troubleshooting and problem-solving skills with the ability to independently diagnose hardware issues Comfortable working independently in a customer-facing environment Ability to clearly communicate technical issues and resolutions to customers and internal teams Ability to lift up to 50 lbs., travel to customer sites, and support flexible/on-call schedules

AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

Job Description Job Description Job Title: Service Engineer - Windsor, CO Location: Windsor, CO (Onsite) Contract Duration: Contract until 06/30/2027 Work Hours: 8-5 Mon-Fri, occasionally need to support different shift hours and on call. Job Posting Title: On-Site Service Engineer - Data Center / Server Hardware Seeking an experienced On-Site Service Engineer (OSE) to provide hands-on support for enterprise data center servers and hardware environments, including next-generation AI infrastructure. This is a hands-on server hardware and break/fix role. The successful candidate will have direct experience diagnosing, repairing, replacing, and maintaining enterprise server hardware in a data center, field service, or customer-facing environment. Prior AI experience is not required. Strong experience with enterprise servers and data center hardware is the priority. What You'll Do Provide on-site technical support for Dell PowerEdge and other enterprise server hardware Diagnose and resolve server hardware failures and system issues to minimize customer downtime Perform hands-on hardware installation, removal, replacement, and repair, including: Memory/DIMMs CPUs/processors Power supplies Fans and cooling components Hard drives/SSDs RAID/HBA components NICs and other PCIe components GPUs and accelerator hardware Motherboards/system boards and other server components Perform rack-and-stack, server installation, cabling, component swaps, and hardware configuration Troubleshoot issues involving server hardware, BIOS/firmware, operating systems, and hardware diagnostics Perform firmware and BIOS updates and utilize server management tools such as Dell iDRAC or comparable platforms Execute both reactive break/fix and preventive maintenance following established procedures Troubleshoot and isolate hardware failures using documented diagnostic procedures and technical resources Work directly with customers and internal technical teams during service events to communicate status, troubleshoot issues, and drive resolution Accurately document service activities, hardware replacements, troubleshooting steps, and resolution details Escalate complex technical issues when appropriate Participate in on-call rotations and provide extended coverage as required What You Bring - Required 3+ years of hands-on experience supporting enterprise servers, data center hardware, or similar infrastructure Direct, hands-on experience physically working on server hardware - installing, removing, diagnosing, repairing, or replacing server components Experience troubleshooting and replacing components such as memory, CPUs, power supplies, storage, RAID/HBA, NICs, fans/cooling systems, PCIe components, or GPUs Experience working with rack-mounted enterprise servers in a data center, field service, or customer environment Strong understanding of server hardware architecture and troubleshooting methodology Experience with hardware diagnostics, BIOS/firmware, and server management tools Familiarity with Linux or similar operating systems Strong troubleshooting and problem-solving skills with the ability to independently diagnose hardware issues Comfortable working independently in a customer-facing environment Ability to clearly communicate technical issues and resolutions to customers and internal teams Ability to lift up to 50 lbs., travel to customer sites, and support flexible/on-call schedules Preferred Qualifications Experience supporting Dell PowerEdge servers Dell or other enterprise hardware certifications Experience with iDRAC, iLO, or comparable server management platforms Experience supporting GPU/AI server infrastructure Experience with data center operations, rack/stack, structured cabling, or server deployment Associate's or Bachelor's degree in IT, Computer Science, or a related field

Job Description Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft's Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year - including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia's software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm - bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you'll own important parts of the product and company from the beginning from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won't be handed a neatly scoped ticket queue. You'll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record. We're building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high. Your work will matter at global scale. The systems we're building will power critical operations for some of the largest financial institutions and technology companies in the world. You'll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems. Full-stack product engineering: You can build clean, reliable product experiences end to end. Infrastructure depth: You're comfortable with cloud services, deployment, observability, reliability, and security. AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality. Startup execution mindset: You're pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems. Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution. Creating: You've built things outside of work maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.

Job Description Greetings from Accion Labs, Our direct Client is looking for Senior Java Full Stack Developer with ReactJS Experience-6 Months Contract-Remote opportunity-Direct Customer Primary Skills : Java, Spring Boot, ReactJS, SQL, Kafka, REST API, AI exposure. Overview: We are seeking a highly skilled and motivated Senior Java Full Stack Developer for an onshore contractor engagement, with strong experience in Java, Spring Boot, Kafka or similar event-driven architecture, and React JS/UI development. The ideal candidate will possess excellent communication and analytical skills and be capable of working collaboratively across teams to deliver scalable, secure, and high-performance solutions. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7+ years of professional software development experience, including strong full-stack development experience. Strong hands-on proficiency in Java 11/17+, Spring Boot, Spring Framework, and RESTful APIs. Hands-on experience with Kafka or similar event streaming platforms. Strong experience with React JS and modern front-end development practices. Experience with JavaScript/TypeScript, HTML5, CSS3, and reusable component development. Experience with relational databases such as SQL Server, PostgreSQL, or Oracle. Understanding of microservices architecture and API-based integrations. Experience with Git, CI/CD pipelines, automated testing, and modern software engineering practices. Strong debugging, problem-solving, analytical, verbal, and written communication skills. Ability to independently drive technical implementation and collaborate with distributed business and engineering teams. Key Responsibilities: Design, develop, test, and maintain backend services using Java and Spring Boot. Implement and manage event-driven systems using Kafka or equivalent technologies. Build responsive, reusable, and dynamic user interfaces using React JS, JavaScript/TypeScript, HTML, and CSS. Integrate front-end applications with backend REST APIs and enterprise data services. Collaborate with IT teams to incorporate security best practices, including OAuth 2.0, OpenID Connect, or JWT-based authorization. Partner with cross-functional teams to define requirements, design solutions, and deliver new features. Analyze and optimize application performance, reliability, and scalability. Develop unit and integration tests and support CI/CD and automated deployment processes. Participate in code reviews, technical design discussions, mentoring, and knowledge sharing. Communicate effectively with stakeholders to clarify requirements, resolve issues, and deliver solutions. Preferred Qualifications: Experience with cloud platforms such as Azure, AWS, or GCP. Experience with Docker and Kubernetes. Familiarity with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD tooling. Experience developing applications in financial services, banking, risk, compliance, or another regulated environment. Agile/Scrum development experience. Education: Bachelor s degree in computer science, information Systems, or related discipline. This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is 110-120 k/annum or Corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.

Job Description The Opportunity The future of all businesses is technology-enabled. The companies that will come to dominate entire industries are being built on technology, creating advantages that will compound over decades. We know this to be true because it's happening in real time across almost every imaginable category of the global economy. For the few industries where transformation has not yet begun, it's a question of when, not if. Ultra-high-net-worth wealth management is one of them. That's why we're building Riviera. The Problem The family offices and advisory firms managing the world's most successful families' wealth do demanding, high-stakes work on tools that were never built for it. Trillions of dollars run on spreadsheets, filing cabinets, and disconnected point solutions. The financial lives these firms manage are extraordinarily complex: assets housed at dozens of custodians; portfolios spanning hundreds of investments across all asset types; arcane, ever-evolving trust and entity structures; and financial operations as complicated as those of multi-billion dollar companies. The industry's answer has been more of the same: more people, more spreadsheets, more manual reconciliation, and more legacy software producing work out of date the moment it is created. Clients tolerated this because there was no other option. That's changing. The people building and backing the very companies recasting the global economy with technology know better - and they want their wealth managed differently. What We're Building Riviera is a financial technology platform built to be the command center for family wealth. Born from a genuine problem experienced firsthand at Santa Barbara Management, Riviera was created because nothing in the market was built to enable an intelligence-first future. The category has been dominated by PDFs, pen and paper, and point solutions that don't talk to each other. That fragmentation is the reason the most transformative technologies of our era have never had a real foothold here. No unified data layer means no intelligence layer. Riviera changes that. We aggregate the vast, fragmented financial universe of an exceptional family into a single, unified intelligence layer - surfacing critical insights, automating complex workflows, and giving clients real-time command over their financial lives. Where the industry has historically reported on wealth, Riviera enables families to direct it. The consolidation of fragmented data that Riviera delivers is the prerequisite for intelligent automation to work in this space. We are building the foundation - and we intend to own the agentic future of UHNW wealth management. This is the kind of product that will define a massive and growing category, while making the rest of the industry's "technology" look like it was built twenty years ago - because it was. The Role This is a hands-on, full-stack product role on an AI-native platform, at the earliest stage, working alongside founders who have started, scaled, and backed category-defining companies. The product already has live clients, real revenue, and its initial architecture in place, so your focus is what comes next: shaping the product, pushing AI deeper into it, and keeping it secure as we add clients. You'll partner closely with the technical team and head of product, with meaningful agency and ownership that comes with being early. What You'll Do Craft the Product Families Live In. You'll help build the product surface and the reporting and decision-support experience that turns a family's tangled financial reality into something they can act on. You'll design and ship the views that render deeply nested ownership (trusts owning LLCs owning funds, looked through to the people who actually own it) fast, legibly, and accurately, and evolve the architecture as the product grows from early conviction into something families depend on daily. Keep the Most Sensitive Data in Finance Airtight. You'll take ownership of the multi-tenant security and access model that already runs the platform. As we add families, offices, and advisors, you'll harden the authorization rules, the permissions graph, and tenant isolation, and move the platform toward a formal security audit and SOC 2. This is the most sensitive data in finance, and the access rules are hard to get right. Getting that right, and being able to prove it as the system grows, is some of the most important work here. Ship Fast, With Real Families on the Other End. You'll work closely with the technical team and head of product, shipping against real feedback from our first clients instead of guessing about what they want. Find the smallest slice that delivers the most value, ship it, and improve it. You'll make the calls on speed versus durability, and on what to write yourself versus what to adopt, and you'll live with how they turn out. Make It Intelligent. You'll help create the intelligence and automation layer that lets families act on their wealth instead of just reading reports about it. With the data finally in one place, that means turning it into clear answers and workflows that run on their own. You'll use AI heavily in how you work and move faster than a team many times your size, and you'll know when its output is right and when it isn't. Who You Are You have spent your career shipping software that real people depend on, and you still write the code yourself. You work across the stack, from the interface someone actually uses down to the data and access rules underneath it. You've run what you shipped, owned the failures, and made it better. You are AI-native in the way that actually means something: how you build today looks materially different from how it did two years ago. You can point to exactly what changed, what you use, and what it has done to your output. You think like a product person. You have opinions about what good software feels like, you work closely with the people who use it, and you turn vague problems into things people actually want. You move fast, prioritize hard, and make the call yourself when there is no product manager in the room, because often you are the one making it. You like being early, where the work is unfinished and the founders next to you have done this before. What We Look For Full-Stack and Hands-On. You ship across the whole stack, from the interface a person uses to the data and rules behind it, and you still maintain the code yourself. You are comfortable dropping into an existing system and making it better, not only starting from scratch, and you have run real software in production. Product Orientation. You approach engineering through a product lens. Demonstrated history of caring about user experience, shaping roadmaps, and making build decisions informed by how real people use software. The best engineers at this stage are part builder, part product thinker. You are both. AI-Native Approach. Specific, demonstrable fluency with AI tooling as a core part of how you build. You can articulate exactly what changed, what you use, and what it has done to your output. This is a requirement, not a nice-to-have. Infrastructure and DevOps Depth. Hands-on experience with GCP or AWS. You have built and maintained CI/CD pipelines, monitoring, alerting, and deployment infrastructure. Security Depth. You think about access and privacy from the first day, and you can take an existing multi-tenant access model and keep it airtight as it grows. For a platform holding the financial lives of private families, getting this right is not optional. System Design Judgment. You've taken a system from its first architecture through real growth, and you can explain what held up, what broke and what you'd do differently. You reason about tradeoffs out loud: data modeling, sync vs. async, caching and invalidation, ingestion that's safe to retry, and where authorization lives. You know when the right answer is a plain Postgres table and when it isn't. Domain Curiosity. Experience in fintech, wealth management, or adjacent regulated industries is a plus, as is familiarity with financial data APIs, aggregation platforms, or custodian integrations. What We Offer Senior Engineer Status. Direct access to the CEO and founding team, and significant influence over product direction from day one. A Category-Defining Problem. One of the most under-innovated, data-rich, and consequential categories in financial services. The people who join now will help shape what this company becomes. Exceptional Colleagues. The team behind Riviera has spent their careers building, backing, and operating category-defining technology companies. You will be working alongside people who have done this before at the highest level. The bar is high, and that's the point. The Conditions to Do Your Best Work. Competitive compensation, comprehensive benefits, equity, and the infrastructure to move fast. We work together in-person four days a week in our Chicago HQ because the best ideas and the strongest cultures are built in the same room. About Santa Barbara Management Santa Barbara Management is the wealth engineering firm for which Riviera was built - and its first client. Founded by accomplished business builders and investors who lived the complexity of extraordinary wealth firsthand, SBM was created to solve a problem the industry had never genuinely tried to solve . click apply for full job details

Job Description Senior / Staff Software Engineer - AI Products A fantastic opportunity for a Senior or Staff Software Engineer to join an innovative AI software company building products that help businesses understand their customers and make better decisions. You will own substantial features across an AI-powered research platform, combining intuitive user experiences with reliable backend systems. This role requires early-stage startup experience, strong full-stack React and TypeScript skills, and a Computer Science degree from a top-30 university. Location: New York, NY. In-office, five days per week. Relocation support available. Salary: $200,000 - $300,000 annual base salary + equity Requirements for Senior / Staff Software Engineer: Typically 4+ years of professional experience in full-stack or product engineering, although exceptional candidates with some commercial experience and clear evidence of outstanding achievement will also be considered. Experience working at an early-stage startup, from Seed through Series D, ideally within a fast-growing business with high engineering standards Bachelor's degree in Computer Science from a highly ranked leading University, with a history of excellent academic achievements Strong hands-on React and TypeScript experience, with substantial engineering capability across both frontend and backend Personal ownership of a major product, feature or platform from initial concept through to production, with measurable outcomes Strong product judgment and a natural interest in building great user experiences Evidence of standout achievement, such as rapid promotions, coding competition success, technical awards, or founder/founding engineer experience Ability to take ownership and deliver within a fast-paced environment with evolving requirements Strong independent coding and debugging skills; AI coding tools are not permitted during technical assessments Strong communication skills and the ability to collaborate with product and design teams Able to work from the New York office five days per week B2B product experience and familiarity with Python, Go or LLM-powered applications are beneficial Responsibilities for Senior / Staff Software Engineer: Own major product features from initial requirements through to production release Build conversational interfaces and tools that help users explore analysis and insights Develop participant recruitment and self-service research functionality Create intuitive user experiences in collaboration with product and design teams Develop backend services, APIs and distributed systems supporting the platform Connect LLM pipelines with reliable application services and interfaces Contribute to shared design systems and consistent product experiences Improve platform performance, reliability and usability What this role offers: The opportunity to build AI-powered products that turn customer feedback into actionable business insights End-to-end ownership of substantial features within a highly skilled engineering, product and design team A competitive base salary and equity opportunity, with challenging work across full-stack development and AI functionality Applications: If you would like to apply for this unique Software Engineering role, please submit your resume through the relevant application link! We're committed to creating an inclusive and accessible hiring process. If you require reasonable accommodations for your application or during the review process, please let us know by separately emailing (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Job Description Firm Background Roc360 is a financial services and asset management platform for residential property investors in the United States. The firm connects fragmented loan markets with institutional capital through a branchless network of third-party originators, brokers, and in-house sales teams to originate loans to property investors who buy, rehab, resell, and/or rent properties. The firm originates and services multiple business-purpose loan products ("BPLs"), via various sales channels which, together with ancillary service offerings, provide an end-to-end experience that drives repeat customer transactions and profitability. The firm's loan products include residential transitional bridge loans ("RTLs") (including single and multi-family properties) and Rental Loans (including single and multi-family property rentals and rental portfolios). Founded in 2014, Roc360 is headquartered in NYC, has approximately 450 team members globally across five countries over three continents, and can originate loans in 46 states and Washington, D.C. The firm's founders have worked together for over 25 years and most of its senior management team has also enjoyed a long tenure at the firm. Through its proprietary technology-enabled Third-Party Originator and Direct-to-Borrower lending channels and strong brand recognition, the firm has funded over $20bn in loans since its inception. Position Summary As a Full Stack Tech Lead, you'll own the technical direction of a core product team while remaining deeply embedded in the codebase. You'll lead a small group of engineers from architecture discussions to production deployments, balancing strategic thinking with hands-on execution. This is a high-impact, high-visibility role for someone who is equally comfortable reviewing a pull request and presenting a system design. Responsibilities Lead and mentor a team of engineers, conducting code reviews, setting technical standards, and fostering a culture of quality and continuous improvement Architect and build scalable backend services using Java and Spring Boot, following microservices best practices Design and develop RESTful APIs that power our web and mobile lending platform Collaborate with product managers and stakeholders to translate business requirements into robust, maintainable technical solutions Contribute to frontend development (React) when needed, bridging the full stack to unblock your team Champion engineering best practices including testing, CI/CD, observability, and documentation Drive technical roadmap planning and participate in sprint ceremonies as a key voice in Agile/Scrum processes Diagnose and resolve complex production issues, leading root cause analysis and post-mortems Qualifications Required 5-15 years of professional software engineering experience, with a strong foundation in Core Java and Spring frameworks (Spring Boot, Spring MVC, Spring Data) Proven experience leading or mentoring engineering teams in a fast-paced product environment Expert-level REST API design and implementation skills Solid command of relational databases and SQL (PostgreSQL, MySQL, or Oracle) including query optimization and schema design Experience with Git-based version control workflows (Bitbucket, GitLab, or GitHub) Deep understanding of object-oriented design principles, data structures, and Java Collections Hands-on experience with Agile/Scrum methodologies including sprint planning, backlog grooming, and Jira Strong communication skills - you can translate technical complexity for non-technical stakeholders and write clearly Frontend development experience with React, TypeScript, HTML, and CSS - you can own the full stack when needed Preferred Experience designing or operating microservices architectures in production Familiarity with NoSQL databases (MongoDB, DynamoDB, Redis, etc.) Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Background in fintech, lending, or real estate technology Familiarity with AI/LLM technologies (e.g. OpenAI GPT, Anthropic Claude, LangChain) and an interest in applying them to automate workflows or enhance product experiences Core Tech Stack Java / Spring Boot REST APIs PostgreSQL / SQL React Microservices Git / CI-CD Roc360 is an Equal Opportunity Employer. We respect and endeavor to empower individuals and support the diverse cultures, perspectives, skills, and experiences within our workforce.

Job Description As an engineer at Bask you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of telehealth. We are looking to expand our software engineers, seeking those with deep rooted entrepreneurial spirit. Our serverless platform is a multi-tenant monorepo - Next.js and React on the front, tRPC and Prisma behind it, deployed on SST, TypeScript throughout. One engineer can follow a change from a form field to the database without crossing a team boundary. That's the point. Engineering at Bask Health is AI-first and builder-led. Work starts with general understanding of problem, moves to tools like Claude and Cursor for further investigation, making a plan and building, tested on staging with realistic data, released to production, tested with real patient and care teams, and then back for systems and polish. AI is a default part of how we work, not a side experiment - because moving fast in healthcare requires every advantage. We are looking for engineers who take end-to-end ownership, treat AI as a real collaborator, and care deeply about building software that meaningfully improves how healthcare is delivered. What You'll Do Design, build, and ship high-quality product experiences. Own key surfaces end to end, from concept through production. Write elegant, well-tested code - we have a real test suite and we intend to keep it that way. Work across the stack. Follow a feature from the interface through the API to the database. No handoffs, no waiting on another team. Work AI-first with Cursor and Claude Code. Use LLMs as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to meet the quality bar healthcare demands. Prototype fast and validate with real users. Build and test quickly with real patients and care teams. Use what you learn to refine before fully committing - especially in sensitive clinical contexts where getting it right matters. Build for scale and own the codebase. Translate product needs into reusable, well-architected patterns that make the next feature faster to ship. Make automation legible and trustworthy. Build systems that clearly communicate what AI and automation are doing on behalf of patients and providers. Earn trust through transparency, reliability, and thoughtful defaults. Champion performance, accessibility, and reliability. Ship work that is fast, robust, and accessible. Partner across the team to debug, optimize, and raise the bar over time. Share AI-native workflows. Document prompts, patterns, and workflows that work, so we move faster together without cutting corners that matter to patient outcomes. We are a highly collaborative team. Requirements A full-stack generalist who has taken a product from 0 to 1 and can apply that instinct inside a system that already has real patients on it. Entrepreneurial, willing to roll up their sleeves, and drawn to a mission that disrupts how healthcare gets delivered. 5+ Years of experience You are dangerous on the frontend of the stack. You are a highly skilled dev (React, TypeScript, Next.js, Tailwind and JavaScript). You also have backend skills (tRPC, Drizzle ORM, SQL, Node, SST). You can work independently and are comfortable owning entire projects or large areas of the codebase. Strong experience building paid products and services is preferred. React Native or Expo experience is a plus. You are a strong communicator, able to clearly articulate technical problems, constraints, and timelines. You are comfortable working in a fast-paced, unstructured, startup environment.

Job Description Title: Python Fullstack Engineer Location: New York, NY. 10169 / Boston, MA. 02109 (Hybrid - 4 days per week onsite) Duration: 6+ months contract with possibility of extension About the role: We are seeking an experienced engineer to lead the delivery and ongoing improvement of enterprise web applications. This position combines hands-on development with technical guidance across Python services, React interfaces, relational databases, and AWS. Scope of the Role Translate business needs into actionable technical solutions by clarifying requirements, evaluating impacts on existing functionality, and estimating development effort. Define application and component designs, supported by engineering specifications and detailed implementation documentation. Develop Python-based services and REST endpoints, create responsive React interfaces, and implement the SQL components needed to support application functionality. Build and maintain applications that use AWS services, with attention to performance, reliability, and the ability to accommodate increasing demand. Experience and Technical Background At least 7 years of professional software development experience. A bachelor's degree in Computer Science, Engineering, or a related discipline. Strong practical experience developing backend functionality in Python, using FastAPI, Flask, or Django. Hands-on experience building web interfaces with React.js. Strong SQL skills and experience with relational database platforms such as SQL Server, PostgreSQL, or MySQL. Experience using AWS, including EC2, Lambda, S3, RDS, and API Gateway, to support application requirements. Familiarity with designing and integrating REST APIs, managing code through Git, and working with CI/CD pipelines. Additional Experience That Would Be Valuable Exposure to Docker, Kubernetes, and Terraform. Experience developing applications using cloud-native approaches and microservices architectures. An AWS certification not a must, but can be useful.

Job Description Summary: Seeking a Full Stack Java Developer, who will be responsible for making an impact by designing, developing, and delivering scalable enterprise applications using Java, Spring Boot, and React.js technologies. The successful candidate will be a valued member of the application development team and work collaboratively with architects, product owners, business stakeholders, and distributed delivery teams to build high-quality digital solutions. Responsibilities: • Design, develop, and maintain full-stack enterprise applications using Java, Spring Boot, React.js, and related technologies. • Build, enhance, and integrate RESTful APIs and microservices that support business-critical applications. • Perform hands-on coding, debugging, testing, code reviews, and application performance optimization. • Provide technical guidance to offshore development teams by resolving technical challenges and supporting successful delivery. • Analyze business requirements and translate them into scalable and maintainable technical solutions. • Participate in Agile ceremonies and contribute to continuous improvement initiatives. • Follow best practices for code quality, security, testing, and software development lifecycle processes. • Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Experience: • 8+ years of experience in full stack application development with strong hands-on expertise in Java, Spring Boot, React.js, and enterprise application development. • Strong hands-on experience in Java application development using Spring Boot. • Proven experience developing full-stack applications with React.js, Redux, JavaScript, HTML5, and CSS3. • Experience designing, developing, and integrating RESTful APIs and microservices. • Strong understanding of software development best practices, debugging, troubleshooting, and performance tuning. • Experience with unit testing frameworks and code quality standards. • Hands-on experience with Git, CI/CD pipelines, and DevOps practices. • Experience working within Agile/Scrum delivery environments. • Ability to analyze requirements, design technical solutions, and work independently. • Strong communication and collaboration skills with onsite and offshore teams. • Experience implementing AI Chatbots and Retrieval-Augmented Generation (RAG) solutions. • Exposure to Generative AI technologies and Large Language Model (LLM) integrations. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Knowledge of Docker, Kubernetes, and containerized application deployments. • Experience mentoring developers and leading technical discussions. What are the top 3 skills required for this role? 1. Java 2. Microservices (MSB) 3. React JS

Pay Range: $45.00hr - $50.00hr Job Overview: This role is for resources with expertise in Azure Cloud, including Azure Cloud, GitHub Actions, GitHub Enterprise Cloud (GHEC), Azure Kubernetes Service (AKS), Azure API Management (APIM), YAML scripting, Datadog instrumentation, and containerization technologies including Docker and Podman. We are seeking a skilled and proactive Senior DevOps Engineer to lead automation, observability, and cloud-native deployment initiatives. The successful candidate will play a key role in building scalable CI/CD pipelines, managing containerized workloads, integrating Java build processes, and implementing robust monitoring and alerting systems. Responsibilities: Design and maintain CI/CD pipelines using GitHub Actions, leveraging YAML scripting for workflow automation. Integrate Maven-based Java build processes into CI/CD workflows, ensuring artifact versioning, quality checks, and deployment automation. Administer and optimize GitHub Enterprise Cloud (GHEC) environments, including repository governance, access controls, and integrations. Deploy and manage containerized applications on Azure Kubernetes Service (AKS) using Helm charts and Kubernetes manifests. Build, manage, and troubleshoot container images using Docker and Podman for consistent and secure deployments. Configure and manage Azure API Management (APIM) for secure, scalable API delivery and lifecycle management. Implement Datadog instrumentation across services for real-time monitoring, distributed tracing, and log aggregation. Create custom Datadog dashboards, alerts, and monitors to ensure system health and performance. Integrate Datadog with CI/CD pipelines and Kubernetes clusters for full-stack observability. Collaborate with development and security teams to enforce DevSecOps best practices and compliance standards. Automate operational tasks and improve system reliability through scripting and tooling. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of experience in DevOps or Cloud Engineering roles. Strong proficiency in YAML scripting for GitHub Actions, Kubernetes, and cloud configurations. Hands-on experience with GitHub Actions and GitHub Enterprise Cloud (GHEC). Deep understanding of Azure Kubernetes Service (AKS) and container orchestration. Experience with Docker and/or Podman for container image creation, management, and deployment. Experience integrating Maven-based Java build processes into CI/CD pipelines. Experience with Azure API Management (APIM) for API lifecycle management. Proven experience with Datadog for monitoring, logging, and observability. Familiarity with IaC tools like Terraform, Bicep, and YAML-based templates. Strong scripting skills in Bash, PowerShell, or Python. Desired Skills: Azure certifications (e.g., AZ-400, AZ-104). Experience with Helm, Kustomize, or other Kubernetes deployment tools. Experience with Agile and DevOps methodologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description WHO WE ARE: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a dedicated Data Center Technician - Field Operations to join our infrastructure engineering team. The ideal candidate will be responsible for the installation, service, maintenance, repair, and alteration of low voltage category cabling, communications cabling, and other various low voltage cabling systems. While expertise in fiber is preferred, the primary focus of this position will be on racking and stacking equipment in data centers, ensuring proper installation and physical connectivity. The role includes delivering sustainable and repeatable solutions and processes always with an eye on improvement and adhering to production, safety, and quality standards. KEY RESPONSIBILITIES: Install, service, and maintain low voltage category cabling and communications cabling. Pull cables, rack and stack equipment, and assist with cable management tasks within the infrastructure. Clean fiber and copper connections and perform basic troubleshooting such as terminating CAT5/6 cables, etc. Follow Method of Procedure (MOP) and Change Method of Procedure (CMOP) guidelines. Operate work ticket systems and interfaces for infrastructure management. Read and validate port maps, and perform basic troubleshooting. Conduct power distribution and cable management tasks within the infrastructure. Coordinate with other team members to ensure efficient project and work order completion. Follow company procedures and safety regulations, providing necessary information to operations management. Complete necessary documentation in written and electronic formats according to company standards. Maintain equipment and supplies inventory as required. Respond to emergency situations during or after hours to resolve immediate client concerns and meet service level agreements (SLAs). Escalate complex technical issues to senior team members as needed. Conduct Service Swaps of live networking devices. ESSENTIAL CRITERIA: Associate degree or certification in a technology services/technical discipline, or equivalent work experience. Experience in installing, servicing, and maintaining low voltage cable infrastructure systems. Ability to install, terminate, and test low voltage cables. Familiarity with industry standards including BICSI, ANSI, EIA/TIA, and local and National Electric Code. Industry and manufacturer-specific certifications preferred (e.g., BICSI TECH, Corning TS-LAN500). Strong customer/client service orientation with effective communication and interpersonal skills. Valid driver's license and ability to safely drive company vehicles. PHYSICAL REQUIREMENTS: Ability to frequently exert force equivalent to lifting up to approximately 50 pounds and occasionally up to 100 pounds. Clarity of vision at 20 inches or less and more than 20 inches, and ability to adjust focus. Three-dimensional vision, ability to judge distances and spatial relationships. Ability to identify colors and give and receive information through speaking and listening skills. Regular requirements to sit, use hands and fingers, handle objects, tools, or controls; and reach with hands and arms. Frequent need to stand and walk; occasional need to climb, balance, stoop, kneel, crouch, or bend The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.

Job Description Job Description WHO WE ARE: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a dedicated Data Center Technician - Field Operations to join our infrastructure engineering team. The ideal candidate will be responsible for the installation, service, maintenance, repair, and alteration of low voltage category cabling, communications cabling, and other various low voltage cabling systems. While expertise in fiber is preferred, the primary focus of this position will be on racking and stacking equipment in data centers, ensuring proper installation and physical connectivity. The role includes delivering sustainable and repeatable solutions and processes always with an eye on improvement and adhering to production, safety, and quality standards. KEY RESPONSIBILITIES: Install, service, and maintain low voltage category cabling and communications cabling. Pull cables, rack and stack equipment, and assist with cable management tasks within the infrastructure. Clean fiber and copper connections and perform basic troubleshooting such as terminating CAT5/6 cables, etc. Follow Method of Procedure (MOP) and Change Method of Procedure (CMOP) guidelines. Operate work ticket systems and interfaces for infrastructure management. Read and validate port maps, and perform basic troubleshooting. Conduct power distribution and cable management tasks within the infrastructure. Coordinate with other team members to ensure efficient project and work order completion. Follow company procedures and safety regulations, providing necessary information to operations management. Complete necessary documentation in written and electronic formats according to company standards. Maintain equipment and supplies inventory as required. Respond to emergency situations during or after hours to resolve immediate client concerns and meet service level agreements (SLAs). Escalate complex technical issues to senior team members as needed. Conduct Service Swaps of live networking devices. ESSENTIAL CRITERIA: Associate degree or certification in a technology services/technical discipline, or equivalent work experience. Experience in installing, servicing, and maintaining low voltage cable infrastructure systems. Ability to install, terminate, and test low voltage cables. Familiarity with industry standards including BICSI, ANSI, EIA/TIA, and local and National Electric Code. Industry and manufacturer-specific certifications preferred (e.g., BICSI TECH, Corning TS-LAN500). Strong customer/client service orientation with effective communication and interpersonal skills. Valid driver's license and ability to safely drive company vehicles. PHYSICAL REQUIREMENTS: Ability to frequently exert force equivalent to lifting up to approximately 50 pounds and occasionally up to 100 pounds. Clarity of vision at 20 inches or less and more than 20 inches, and ability to adjust focus. Three-dimensional vision, ability to judge distances and spatial relationships. Ability to identify colors and give and receive information through speaking and listening skills. Regular requirements to sit, use hands and fingers, handle objects, tools, or controls; and reach with hands and arms. Frequent need to stand and walk; occasional need to climb, balance, stoop, kneel, crouch, or bend The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.

Job Description Job Description Overview Location: Austin, TX (4 days in-office) Employment Type: Full-time Department: Engineering & Product RELOCATION ASSISTANCE PROVIDED As a Principal Machine Learning Engineer: You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations. As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You'll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data. Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You'll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact. This is a full-time position based in our Austin, TX office (4 days a week in-office) . We are located near Mopac and W. Anderson Lane. Job Responsibilities Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models. Build and maintain the data layer : Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure. Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem. Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems. Provide excellent metrics and visibility into model quality, bias, and performance to assess how it's helping the business, ensuring a high bar of scientific rigor and evaluation. What we're looking for: Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus. Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don't reinvent the wheel, but you understand when a custom solution is appropriate. Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You're not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in computer vision and image analysis. Experience with dbt or similar modern data transformation tools. What We Offer: Compensation : Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation . We pay at the top of the Austin market (see comp). Growth opportunity : We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing . We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We're excited to meet you!

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K

Job Description Our client, which is a large Insurance Firm is urgently looking to hire a Lead Full Stack Python Developer Lead Full Stack Python Developer Long Term Contract with an option to Hire. Location - Chicago, IL (100 % Remote). Required Skills - Full Stack - Python / React JS or Angular , AWS, Terraform, CI/CD , SQL/Postgres SQL, .NET, AI - Claude PROFESSIONAL SUMMARY Designs, develops and tests complex applications and web service integrations and programs across interconnected companywide systems. Delivers scalable frontend, backend, and cloud solutions while ensuring data quality, system integrity, and comprehensive technical documentation. 1. Application Development: Designs and builds scalable applications across the front-end, back-end, cloud infrastructure, and DevOps while effectively leveraging AI-powered development tools to accelerate software delivery, improve code quality, and automate engineering workflows. Designs and develops scalable back-end services and APIs primarily in Python, while contributing to front-end interfaces as needed to deliver full-stack features end to end. Builds and maintains CI/CD pipelines and manages cloud infrastructure using tools like Terraform. Monitors production systems, troubleshoots incidents, and drives root-cause fixes. Designs, writes, validates, and modifies code and scripts efficiently to support the company internal and external systems in partnership with the Database Administrator and Technical Services. Partners with the Database Administrator to design SQL Server tables, maintain data integrity, and develop stored procedures, SSRS, and SSIS packages. Provides operational backup for routine data maintenance. Collaborates with product, QA, and other engineers to plan and deliver features, and reviews code to maintain quality and share knowledge with other developers. Improve deployment reliability, observability, and system performance, and contributes to architecture decisions and technical roadmap planning. Leads the process of conceptualizing and developing new programs, web applications, and webservice integrations including development and management of API's. Produce logical diagrams that outline current and future state. Leads LifePRO application support including evaluation, testing and deployment of periodic system releases and new functionality. Monitors for efficient resource use of programs, web applications, webservices, and other systems Utilizes AI-powered coding assistants (e.g., GitHub Copilot, Cursor AI, ChatGPT, Claude, Gemini) to accelerate software development. Data Quality: Develops and executes effective testing plans at the program and system level Monitors the operation of assigned programs and responds to problems by diagnosing and correcting errors in logic and coding Reviews production data and reports to ensure completion of scheduled jobs, data quality and integrity Documentation: Creates and maintains documentation related to assigned web applications, programs and other systems in accordance with departmental and team standards, including disaster recovery and data center instructions Creates and maintains design and architecture documentation Creates and maintains standards and best practices documents Produces special reports upon request

Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Software Engineer to join our intel team. Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a software engineer to support our Platform team, which owns the AWS infrastructure, Kubernetes clusters, and security posture that every AI capability in the organization runs on. In this role, you'll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be deploying and maintaining reliable, secure infrastructure that the rest of our AI services depend on. Requirements shift quickly as mission needs evolve and new technologies emerge, so you'll keep sharpening your skills and learning to turn loosely defined problems into working solutions. Responsibilities : Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes). Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments. Configure and use observability tooling to monitor the health and performance of production services. Support certificate management and follow established security best practices for AI systems and data. Collaborate with other teams in the organization to provision and configure the infrastructure their services depend on. Diagnose and help resolve production infrastructure issues. Candidates should have the following qualifications: TS/SCI Clearance with polygraph 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Skills Requirements : Proficiency with Python or another modern programming language. Familiarity with AWS or other cloud service providers. Understanding of containerization concepts and tooling such as Docker. Ability to learn new technologies quickly. Strong communication skills and a willingness to ask questions. Nice to Haves : Experience with AWS services such as EKS, Terraform, and IAM. Experience with Kubernetes and Helm/Kustomize. Experience with Argo CD and/or other CI/CD frameworks. Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices. Experience with certificate management. Experience supporting cloud-native architecture or maintaining production software and infrastructure. Familiarity with LLMs and AI hosting concepts. Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $70,000 to $190,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR R3I0lh7TrB