Systems Engineer jobs at ORION - 2565 jobs

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

A leading digital marketplace bank in San Francisco seeks a Solutions Engineer to be a trusted technical partner throughout the integration lifecycle. You will collaborate with internal teams and external partners, ensuring seamless API integrations and delivering technical presentations. The ideal candidate has over 4 years of experience in solutions engineering and a strong understanding of API technologies. This role offers a competitive salary and comprehensive benefits in a hybrid work model. #J-18808-Ljbffr

A leading financial services company is seeking a Staff ServiceNow Engineer to develop and enhance its ServiceNow platform. The role involves leading the full lifecycle of solutions, collaborating across teams, and optimizing user experiences. Candidates should have 7+ years of ServiceNow experience and a Bachelor's degree in a related field. Join a dynamic team making a significant impact in personal finance. #J-18808-Ljbffr

About This Role This isn't a traditional engineering role where you'll receive detailed specifications and build to order. We're looking for someone who digs into problems firsthand-someone who asks "why" until they truly understand what's broken, then builds the solution themselves. If you've ever been frustrated by the gap between people who understand the customer and people who can build technology, this role exists because we share that frustration. We want someone who can do both. What You'll Do You'll use AI tools-particularly Claude Code and the Claude platform-to build solutions that solve real problems in mortgage lending. Not proofs of concept. Real tools that people use every day. Examples of problems you might tackle: Loan conditions arrive from Fannie Mae, Freddie Mac, VA, and FHA in different formats. Loan officers spend hours reconciling them. Build something that consolidates and deduplicates them automatically. Underwriters spend significant time on tasks that could be automated, but "that's how it's always been done." Identify which tasks, understand why, and build the automation. Compliance requirements evolve constantly. Build systems that can adapt without requiring lengthy development cycles. You won't always be handed a clear spec. You'll often be handed a problem-sometimes a vague one-and expected to dig in until you understand it well enough to solve it. What We're Looking For Required: You can build working software. You don't need a team of engineers to ship something useful. Claude Code, Python, JavaScript, APIs-you're comfortable getting hands-on. You go deep on problems. When someone says "we need a dashboard," you ask what decision they're trying to make. When they say "it takes too long," you ask how long, why, and what happens as a result. You're persistent. You don't hear "that's not possible" and stop there. You get curious and look for another way. You communicate well across audiences. Executives, loan officers, underwriters, compliance teams-you can work with all of them effectively. Preferred: Bachelor's degree in Business, Computer Science, or related field Experience in mortgage lending, financial services, or another regulated industry Hands-on experience with AI coding tools (Claude Code, Copilot, Cursor, or similar) Background that spans both business and technical work-perhaps you started in analysis and taught yourself to code, or you're an engineer who consistently finds yourself thinking about the customer problem What matters most: We care less about your pedigree and more about your ability to solve problems and work well with others while doing it. Why This Role Exists We're a 200-person mortgage lending organization, and we believe AI is going to fundamentally change how our industry operates-not by replacing people, but by making our people dramatically more effective. We're moving away from the traditional model where business teams write requirements, hand them to engineers, and hope the result matches the intent. We want to build a team of people who can understand the problem deeply and build the solution directly. Fewer handoffs. Faster iteration. Better outcomes. If that resonates with you, we'd like to talk. How To Apply Please send: Your resume Something you've built - a link, screenshot, GitHub repo, or brief walkthrough. It doesn't need to be polished. We want to see how you approach problems. A short note (a few sentences) about a problem you investigated deeply and what you learned from it

A leading financial institution in the United States is seeking a Distinguished AI Engineer in San Francisco, CA. This role involves developing AI-powered products and requires at least 8 years of experience in AI and ML algorithms. The ideal candidate is proficient in programming languages like Python and Java, with a strong focus on optimizing AI systems for performance and scalability. This position offers a competitive salary range of $293,600 - $335,100 and comprehensive benefits. #J-18808-Ljbffr

A leading financial services provider in San Francisco is seeking a Technical Specialist to develop AI and ML solutions. You'll need a strong foundation in engineering and at least 4 years of experience programming in Python and deploying AI on cloud platforms. The ability to optimize solutions and a passion for AI research are essential. This role offers a competitive compensation package with health and financial benefits. #J-18808-Ljbffr

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

A state governmental agency in Chelsea, Massachusetts is seeking an Accounts Management Analyst II to manage employee provisioning and deprovisioning, ensure timely completion of requests, and support end-users with IT issues. The ideal candidate should have extensive experience in technical support, strong knowledge in Windows, Azure, and service management tools like ServiceNow, along with excellent problem-solving and communication skills. This full-time role offers a salary range between $77,290 and $116,401 annually. #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

A financial technology company is looking for a Director of Engineering, Trading Products to shape and scale the engineering organization. This role involves leading high-performing teams, defining the technical strategy, and collaborating across departments to build user-focused financial products. Candidates should have over 6 years of experience in engineering leadership, a background in distributed systems, and a passion for financial technology. The position is located in New York or Menlo Park, requiring in-person attendance at least 4 days a week. #J-18808-Ljbffr

**About this role** Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world's most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for engineering leaders who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $11 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next-generation technology and solutions. **About the Role:** Join the Aladdin Engineering team as Vice President, AXE/IOI Engineering Team Lead, where you will lead the design, development, and evolution of our IOI (Indication of Interest) and AXE infrastructure. This role is central to our strategy for delivering scalable, resilient, and high-performance trading workflows across asset classes and geographies. As the engineering lead for IOI/AXE, you will shape the future of liquidity discovery and dealer connectivity-owning the architecture and implementation of systems that handle millions of indications and axes daily, ensuring they meet the highest standards of reliability, latency, and observability. This leader works across engineering, product, and support teams to ensure that our trading platform is not only high-performing but also operationally resilient. The role requires close collaboration with teams across the globe, navigating time zones, cultures, and organizational structures to drive alignment and execution. You will be expected to lead cross-functional initiatives that span multiple teams and products, and your decisions will influence dozens of engineers and impact thousands of users across internal and external Aladdin clients. A key focus of this role is the modernization of our IOI/AXE infrastructure. You will set the strategic direction for connectivity and distribution-re-architecting legacy systems, adopting cloud-native and open-source technologies, and implementing advanced observability frameworks that improve system transparency, performance, and scalability. Your leadership will help drive innovation in liquidity discovery, FIX connectivity, and integration with Aladdin's OMS/EMS-ensuring our platform remains competitive, compliant, and client-centric in a rapidly evolving market landscape. You will also ensure that engineering efforts align with firm-wide standards for diagnostics, monitoring, and operational excellence. By integrating observability into every layer of the IOI/AXE stack, you will empower engineering and trading teams with real-time insights and actionable intelligence that enhance system reliability and user experience. This role demands a visionary mindset-someone who can anticipate market trends, regulatory shifts, and client needs, and translate them into actionable engineering strategies. You will be empowered to shape the future of liquidity infrastructure in Aladdin, influencing not only how IOIs and axes are disseminated, but also how our systems scale, adapt, and evolve in a rapidly changing financial landscape. **What are Aladdin and Aladdin Engineering?** + You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. + Our development teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and support millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! **Being a member of Aladdin Engineering, you will be:** + Tenacious: Work in a fast-paced and highly complex environment + Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way + Great teammate: Think and work collaboratively and communicate effectively + Fast learner: Pick up new concepts and apply them quickly **Responsibilities include:** + Set and execute the strategic vision for IOI/AXE infrastructure across Aladdin's trading platform. + Lead engineering teams in building and scaling high-throughput, low-latency, multi-asset liquidity systems. + Drive modernization efforts through cloud-native architecture, open-source adoption, and advanced observability tooling. + Collaborate globally across engineering, product, and trading teams to deliver fault-tolerant, high-availability systems. + Own the full lifecycle of engineering initiatives-from design and development to deployment and feedback-working closely with traders to assess impact and usability. + Partner with product management and business stakeholders to define and evolve the roadmap for IOI/AXE and FIX connectivity. + Design and deliver innovative solutions to complex liquidity challenges, proactively identifying risks and resolving roadblocks. + Apply rigorous software engineering practices including automated testing, CI/CD, code reviews, and DevOps integration. + Lead project execution using Agile methodologies, ensuring timely delivery of priorities and milestones. + Foster a culture of technical excellence by mentoring and growing engineering talent, and driving continuous improvement in team productivity and system quality. + Represent IOI/AXE in cross-functional leadership forums and client-facing engagements. **Qualifications:** + B.E./M.S. or equivalent in Computer Science or related field. + 10+ years of experience in software engineering, with 5+ years in leadership roles. + Proven track record of managing engineering teams and delivering complex trading or market data systems. + Deep expertise in FIX protocol, IOI workflows, and connectivity patterns. + Strong foundation in Java or C++, with experience in real-time systems and performance optimization. + Experience with microservices, messaging middleware, and distributed systems. + Familiarity with observability frameworks (e.g., OpenTelemetry, Visualization and analytics platforms for metrics and logs) and streaming architectures. + Experience working in global organizations and managing distributed teams. + Excellent communication and stakeholder management skills. + Ability to translate business needs into scalable technical solutions. + Ability to build strong relationships with cross-functional teams and stakeholders. **Skills and Experience:** + Proven experience leading engineering teams and delivering complex, high-quality software projects. + Expertise in FIX protocol and IOI workflows. + Proficiency in microservices, REST APIs, and distributed systems. + Expertise in TCP, multicast, streaming protocols, and middleware architectures. + Strong knowledge of open-source technology stacks (Spring, Hibernate, Maven, JUnit). + Experience with relational and NoSQL databases. + Excellent analytical, problem-solving, and communication skills. + Interest or experience in finance, investment processes, and translating business needs into scalable technical solutions. **Nice to have:** + Understanding of performance optimization techniques (low/no GC, off-heap caching, kernel bypass, cache locality, CPU pinning, Linux customizations). + Experience with optimization, algorithms, or quantitative processes. + Experience with DevOps practices and tools (Azure DevOps). + Experience with cloud platforms (Azure, AWS, GCP). + Experience with AI-related projects or working in an AI research environment. + Certifications, advanced degrees, or open-source contributions demonstrating mastery of software engineering principles. For New York, NY and LA3-2951 28th Street, Suite 1000, Santa Monica Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. For Chicago, IL Only the salary range for this position is USD$148,000.00 - USD$200,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. **Our benefits** To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. **Our hybrid work model** BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. **About BlackRock** At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock (****************************** | Twitter: @blackrock (****************************** | LinkedIn: ********************************** BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. **View the** **EEOC's Know Your Rights poster and its supplement (************************************************************************************************************ **and the** **pay transparency statement (************************************************************************************************* **.** BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy (**************************************************************************************** . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

* 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 enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* 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, or Java* 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, 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* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

A financial services company is seeking a Distinguished AI Engineer in San Jose to develop and support AI-powered products that enhance customer interactions. The ideal candidate will have 8+ years of experience in AI development, expertise in programming languages like Python or Java, and a passion for leading scalable AI solutions on cloud platforms. This role offers a chance to work with cutting-edge AI technologies and make a significant impact in the banking sector. #J-18808-Ljbffr

* Articulate and evangelize a bold technical vision for your domain* Decompose complex problems into practical and operational solutions* Ensure the quality of technical design and implementation* Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability* Continue learning and injecting advanced technical knowledge into our community* Handle several projects simultaneously, balancing your time to maximize impact* Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community* Define and drive technical strategy and roadmap for our systems and platforms that power Capital One's inbound card and loan capabilities across the customer experience, payment profiles, scheduling, fulfillment and money movement rails.* Partner cross-functionally with client, cloud infrastructure, and machine learning platform teams to align on and co-develop technical solutions.* Architect and build highly secure & scalable systems that enable server-driven product experiences across devices, with exceptional reliability and availability.* Design high-throughput, low-latency services capable of handling millions of concurrent requests.* Design and implement API & federated BFF (Back-end for Front end) strategy for efficient data access (fetching, caching, request coalescing, etc.) between backend services and clients, with democratized data schema contribution.* Architect enhanced Observability and Monitoring frameworks to enable rapid issue detection, debugging and resolution, across the entire product system stack.* Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation.* Leverage proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company* Bachelor's Degree* At least 9 years of experience in software engineering* At least 9 years of experience designing distributed systems, backend architecture, and API platforms* At least 5 years of experience with public cloud technologies* Master's Degree in Computer Science or a related field* 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift,* 7+ years of experience in event-driven systems and architecting scalable, fault-tolerant, highly-available services* 7+ years of experience in building high-performance API platforms and federated BFF architectures (GraphQL, REST, API gateways, gRPC, caching, and streaming).* 7+ years of experience with cloud-native engineering (AWS, Azure, or GCP), containerization (Docker, Kubernetes) and automated deployment 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies* At least 10 years of experience programming with Python, Go, Scala, or Java* 9 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 enterprise AI systems* Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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* 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 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* 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 enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies* At least 10 years of experience programming with Python, Go, Scala, or Java* 9 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 enterprise AI systems* Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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* 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* Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. This is a full-time role that is hybrid from our San Francisco or Seattle Office We're seeking a Staff ServiceNow Engineer who thrives in a fast-paced environment and enjoys solving complex challenges with elegant technology solutions. In this role, you will develop and enhance key components of our ServiceNow platform-including Employee Center Pro experiences, Now Assist AI capabilities, and automation across our enterprise workflows. You'll collaborate with cross-functional teams to refine requirements, architect durable solutions, and elevate engineering standards through peer reviews and mentorship. This is an opportunity to influence platform strategy, contribute to innovation, and deliver high-impact capabilities that support our growing organization. What you'll do: Design and Develop Solutions: Build, enhance, and maintain scalable solutions within the ServiceNow platform with focus on ITAM (HAM Pro, SAM Pro) , CMDB, Employee Center Pro and Now Assist following ServiceNow's best practices and development standards. Own the Technical Delivery: Lead the full lifecycle of solution development, from requirements analysis and technical design to configuration, scripting, testing, and production deployment. Collaborate Across Teams: Work closely with business stakeholders, product owners, and architects to understand needs, refine requirements, and translate them into scalable, maintainable ServiceNow solutions. Enhance Employee Experience: Configure and customize Employee Center Pro, including content taxonomy, audience targeting, user experience enhancements, and service journeys. Leverage AI/ML Capabilities: Implement and optimize Now Assist features such as generative AI experiences, virtual agent improvements, and intelligent recommendations to elevate platform usability. Ensure Data Accuracy and CMDB Health: Drive CMDB data model governance, enforce relationship and dependency rules, and maintain alignment with the Common Service Data Model (CSDM). Integrate Systems and Automate Workflows: Design and implement integrations between ServiceNow and external systems (e.g., procurement, cloud platforms, monitoring tools) using IntegrationHub, REST, and APIs. Perform Peer Reviews: Conduct and participate in code and configuration reviews, ensuring adherence to coding standards, maintainability, and platform performance. Champion Platform Quality: Establish and uphold development, testing, and release management best practices in collaboration with platform owners and governance teams. Provide Technical Updates and Guidance: Communicate technical progress, design decisions, and risks to project stakeholders and leadership in a clear and structured manner. Support Continuous Improvement: Identify opportunities to optimize processes, automate manual workflows, and enhance ServiceNow usability and performance. Mentor and Lead by Example: Support junior developers through technical guidance, documentation, and promoting a culture of engineering excellence. What you'll need: 7+ years of hands‑on experience designing, developing, and maintaining Servicenow solutions in enterprise‑scale environments. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience). Deep understanding of HAM Pro, SAM Pro,CMDB modules, including lifecycle management, discovery, reconciliation, and compliance. Strong experience configuring Employee Center Pro including content creation, portal configuration, taxonomy design, search optimization, and UX enhancements. Working knowledge of Now Assist, generative AI capabilities, conversational experiences, and AI‑driven automation within the ServiceNow platform. Proven ability to write clean, modular, and maintainable code aligned with ServiceNow's technical and security best practices. Skilled in engaging with business partners, product owners, and architects to align technical solutions with strategic goals. Experience in peer code reviews, test planning, debugging, and performance tuning to ensure solution reliability and scalability. Expertise in Common Service Data Model (CSDM) and its application within CMDB governance and data quality frameworks. Strong background working in Agile/Scrum environments, managing backlogs, and delivering iterative platform enhancements. Ability to convey complex technical concepts to both technical and non‑technical stakeholders; excellent documentation and presentation skills. Passion for staying current on ServiceNow platform updates, new features, and emerging ServiceNow trends. ServiceNow Certified System Administrator (CSA) preferred. Nice to have: ServiceNow Certified Application Developer Certified Implementation Specialist (CIS) in ITAM or CMDB Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $118,400.00 - $203,500.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply for this position Staff ServiceNow Engineer Information Technology #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr