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
$134k-172k yearly est. 2d ago
Looking for a job?
Let Zippia find it for you.
Remote-Ready Workday HCM Integrations Engineer
Social Finance, Inc. (SoFi 4.5
San Francisco, CA jobs
A leading financial services company in San Francisco is looking for a Senior Workday HCM Integration Engineer. The role includes providing expert support for Workday functionalities, optimizing reports, and ensuring smooth integration with third-party services. Candidates should hold a Bachelor's degree and have over 5 years of relevant experience. A full-time telecommuting option is available, and a competitive salary ranging from $213,512 to $234,863 per year is offered.
#J-18808-Ljbffr
$213.5k-234.9k yearly 1d ago
Sr SecOps Engineer
Lendingclub 4.6
San Francisco, CA jobs
Continuously assess access controls to align with Zero Trust principles and regulatory requirements Mentor peers, share knowledge, and help establish LendingClub-wide security best practices* 6+ years of experience in security operations, engineering, or related infrastructure security roles in a medium-to-large enterprise* Bachelor's degree or higher in a related field; or equivalent work experience* Proven expertise with vulnerability scanning tools (Qualys, Wiz, Orca, Upwind) and EDR platforms (Crowdstrike, Tanium, SentinelOne, etc.)* Strong knowledge of AWS security services (IAM, GuardDuty, Security Hub, WAF, KMS, VPC security)* Hands-on experience with SIEM & logging platforms (Splunk, ELK, CloudWatch, Kibana)* Proficiency in automation & scripting (Python, Bash, Go, PowerShell); experience with IaC (Terraform, Ansible, CloudFormation) is a MUST* Solid understanding of Windows & Linux architectures and security hardening baselines (CIS, STIGs)* Familiarity with security tools (Kali, Nmap, Wireshark) and adversary techniques (exploitation, lateral movement, privilege escalation)* Strong written and verbal communication; able to present technical findings to both engineers and executives* Security certifications (CISSP, GSEC, CEH, OSCP) a plus**Work Location** San Francisco, Lehi The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level. **Time Zone Requirements** Local hours (PT, MT) While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. **Travel Requirements** As needed travel to LendingClub offices and/or other locations, as needed. **Compensation** The target base salary range for this position is 157,000-200,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more. #LI-Hybrid
#J-18808-Ljbffr
$127k-164k yearly est. 1d ago
Director of Trading Engineering - Lead Scalable Teams
Robinhood 4.7
Menlo Park, CA jobs
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
$143k-204k yearly est. 4d ago
Senior Field Engineer
Circle Internet Services Inc. 4.5
San Francisco, CA jobs
We prioritize the health and wellbeing of our employees through our comprehensive benefit package, including generous paid time off to rest and recharge, holistic mental health support, and benefits covering employees up to 100%.
Growth
At CircleCI, employees have ample opportunity to learn new skills, including project-based learning and presentations from our colleagues. Your continued professional development is important to us because it's important to you.
Flexibility
What does it mean to work at CircleCI? For us, flexibility is key.
As aSenior Field Engineer at CircleCI you will be the customer's trusted technical advisor throughout the sales and retention lifecycle. You'll provide hands‑on advice for cloud‑based and single‑tenant deployment and product guidance with CircleCI's largest prospects and customers. You will serve as the technical expert and owner of deal validation strategy, collaborating with account executives and success managers to identify customer business goals, needs, and pains and showing how CircleCI can address them.
What You'll Do
Lead the technical implementation and day‑to‑day management of CircleCI Demonstrations and proof‑of‑concepts.
Demonstrate the technical feasibility, integrated into our customer's technology stack, ensuring early customer success and a long‑term business relationship.
Serve as a technical advisor and subject matter expert for customers, offering guidance on product implementation, adoption, and best practices.
Conduct in‑depth analysis of customer use cases, identify opportunities for product optimization, and provide feedback to internal teams for improvements.
Support strategic planning conversations with customer executives; connecting software delivery challenges with corporate objectives, articulating their full business impact.
Lead technical discussions with enterprise clients, addressing complex issues, customizations, and integrations to meet customer‑specific requirements.
Develop and deliver technical training sessions, workshops, and documentation to empower customers to maximize the value of CircleCI products.
Stay up‑to‑date on industry trends, product updates, and emerging technologies to continuously enhance your technical knowledge and customer support capabilities.
What We're Looking For
5‑10 years experience as an engineer in the application development, devops, or CI/CD space.
Extensive experience with solutions selling in a technical customer‑facing role, such as Sales Engineer, Solutions Engineer, Customer Success Engineer, or similar position, preferably in a SaaS or software development environment.
Strong proficiency in CI/CD concepts, DevOps practices, software configuration, and scripting languages like Python, Shell, etc.
Knowledge of Docker or Linux containers in general.
Outstanding presentation skills. You feel comfortable leading presentations and demos of our platform to groups, both technical and non‑technical, in‑person and virtually.
Proven track record of engaging with enterprise clients, understanding their technical requirements, and delivering solutions that drive customer success.
Ability to work collaboratively with cross‑functional teams, Sales, Product, and Engineering, to advocate for customer needs and provide valuable insights for product enhancement.
Ideal Candidates might also have:
Experience developing mobile applications across iOS and Android devices.
Strong ops/infrastructure knowledge, especially networking and security.
About CircleCI
CircleCI is the world's largest shared continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most‑used DevOps tools-processing more than 1 million builds a day-CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.
Founded in 2011 and headquartered in downtown San Francisco with a global remote workforce, CircleCI is venture‑backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital.
United States Base Pay Range
$153,000 - $191,000 USD
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
CircleCI is an Equal Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, or status as an individual with a disability. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
#J-18808-Ljbffr
$153k-191k yearly 4d ago
Staff ServiceNow Engineer
Social Finance, Inc. (SoFi 4.5
San Francisco, CA jobs
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
$118.4k-203.5k yearly 2d ago
Senior Mechanical Engineer
Valid8 Financial, Inc. 3.6
San Francisco, CA jobs
Kodama Systems is a technology company transforming the forestry industry with teleoperation and supervised autonomy. With our retrofit control systems, machines can be driven from anywhere off project sites, improving safety, reducing costs, and addressing labor challenges across the $100B timber industry. Backed by leading investors and industry partners, Kodama's solutions offer timberland owners and logging contractors scalable, cost effective tools for forest management and wildfire mitigation. For more information, visit **************
The Position
As a Senior Mechanical Engineer at Kodama you will own the design of custom hardware to outfit various forestry equipment for teleoperation and autonomy. You'll lean on past experience and work with our operations team to help debug complex robotic systems deployed in remote locations across North America. Kodama is a remote first early stage startup, so you will have a high degree of ownership and autonomy over the work you do.
Location
Remote
Travel
Up to 15% of your time going to company retreats and project sites
Ideal Candidates Will Have
Experience owning multiple mechanical designs from concept through deployment using the following processes:
Sheet metal
Weldments
Machined parts
Designed electrical enclosures
Previously worked at a startup
Around 5 years of post undergraduate experience
Bonus Experience
LIDAR
Generous stock options. We're an early-stage company and we want you to benefit from being an early contributor.
Flexible time off. Work hard and take time off when you need it.
Stay healthy. Full health insurance benefits for you and your family.
401K savings plan
Note - please attach a resume in either .pdf or .doc format. Due to the volume of inquiries, not all applicants will receive a response.
#J-18808-Ljbffr
$121k-158k yearly est. 3d ago
Lead AI Engineer (FM Hosting, LLM Inference)
Capital One 4.7
San Francisco, CA jobs
* 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
$109k-141k yearly est. 3d ago
Embedded Lending Solutions Engineer - Pre-Sales
Lendingclub 4.6
San Francisco, CA jobs
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
$121k-166k yearly est. 1d ago
Forward Deployed Engineer
Truth Systems 4.5
San Francisco, CA 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
$170k-250k yearly 4d ago
Senior AI Platform Engineer - LLM & Infra
Capital One National Association 4.7
San Jose, CA jobs
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
$102k-128k yearly est. 1d ago
Sr. Distinguished AI Engineer
Capital One 4.7
San Francisco, CA jobs
* 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
$102k-128k yearly est. 1d ago
Sr. Distinguished Engineer - Card Payments
Capital One 4.7
San Francisco, CA jobs
* 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
$102k-128k yearly est. 3d ago
Sr, Distinguished AI Engineer
Capital One 4.7
San Francisco, CA jobs
* 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
$102k-128k yearly est. 3d ago
Customer-Centric AI Deployment Engineer
Truth Systems 4.5
San Francisco, CA jobs
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
$103k-144k yearly est. 4d ago
Senior AI Engineer - Foundational AI Systems
Capital One National Association 4.7
San Francisco, CA jobs
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
$107k-136k yearly est. 3d ago
Senior AI Engineer - LLM Inference & Systems
Capital One 4.7
San Francisco, CA jobs
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
$107k-136k yearly est. 3d ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
San Francisco, CA jobs
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
$111k-186k yearly est. 2d ago
Senior Solutions Engineer, Enterprise Payments
Checkout Ltd. 4.7
San Francisco, CA jobs
A leading fintech company is looking for a Senior Specialist in Solutions Engineering based in San Francisco. This client-facing role acts as a key technical expert for enterprise merchants, bridging the payments platform with business needs. Ideal candidates have over 2 years of industry experience, strong analytical skills, and proficiency in REST/JSON APIs. The position offers a hybrid working model and is an opportunity to thrive in a fast-paced environment and deliver impactful solutions.
#J-18808-Ljbffr
$141k-204k yearly est. 5d ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
Los Angeles, CA jobs
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