26 jobs found

Are you excited about the opportunity to join a diverse team working together to influence the direction of an innovative new cloud database? Does contributing to product engineering and business strategy for a new distributed database service match your career goals? If so, the role of Senior Product Manager in the Aurora Distributed SQL organization may be your dream job. Key job responsibilities Your primary responsibility as a Senior Product Manager - Technical (PMT) is to help accelerate the product engineering and business growth of Amazon Aurora DSQL. A Senior PMT achieves this growth by shaping and leading product strategy - turning insights and customer feedback into plans that accelerate delivery and delight customers. This includes taking ownership of roadmap prioritization, and contributing to feature development by acting as the voice of the customer throughout the software development lifecycle. You will collaborate directly with software engineering teams, and interact with senior business partners across marketing, finance, and sales organizations. A day in the life A successful candidate will demonstrate proven product management skills with experience delivering features for large scale enterprise information systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The candidate will demonstrate subject matter expertise in database technology and is familiar with related storage and server hardware. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 3+ years of technical (software development, network development, IT, other related) experience - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience, or degree in advanced technology PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS - 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS - Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description $115,000 - $125,000 + VIP Bonus $115,000 - $125,000 / year + Bonus The insurance industry runs on Vertafore. We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data-driven foundation to eliminate distribution drag across the insurance lifecycle, spanning sales, servicing, and back-office operations. Underpinned by unmatched speed and performance power, we are the trusted backbone that's taking the insurance industry from friction to flow with Distribution Velocity - speed, performance, and trust - to drive growth at scale. With over 95% of the top agencies and insurers and 50% of industry compliance transactions running through Vertafore, we lead at the intersection of innovation and trust, giving insurance professionals the confidence to transform and win in the AI era. Our reach is global, with headquarters in Denver, Colorado, and offices across the U.S., Canada, and India. JOB DESCRIPTION As a team member embedded in an energetic agile team of Software and QA Engineers, you will create software products utilizing state of the art technologies. With your team, you'll celebrate all the hard work that goes into a successful release to market while gaining first-hand experience in cutting edge, lean-agile, software development methodologies. Our culture fosters collaboration, innovation, integrity, mentorship, commitment to success and FUN. Our managers are dedicated to growing their people and offering an opportunity that allows you to make impact in your career. If you love technology, are hungry to learn, and are looking for a creative, fun and friendly workplace where you get to develop software that will transform the insurance industry, we would love to get in touch with you. Core Requirements and Responsibilities: Essential job functions included but are not limited to the following: Lead through example and persuasion, rather than through tasking/directing Are eager to dive in and learn, with a willingness to be coached Enjoy solving problems as part of a team Are servant leaders, strong communicators, and possess strong interpersonal skills Promote Agile best practices and involving Agile Coaches when needed Present observed risks/issues to appropriate parties to create awareness and prompt discussion Ensure that teams have necessary information to deliver on highest priority roadmap items Understand and foster culture of quality throughout the organization Align different groups and organization to a common goal Other duties as assigned Knowledge, Skills and Abilities: Communicate clearly to explain and defend their opinions Are self-motivated and excellent problem-solvers Are driven to improve, personally and professionally Mentor and inspire others to raise the bar for everyone around them Love to collaborate with their peers, designing pragmatic solutions Operate best in a fast-paced, flexible work environment Have a passion for facilitation of planning, Agile ceremonies, and even tough conversations amongst senior leaders Qualifications: Have experience (2-4 Years) working in an Agile environment using Scaled Agile Framework (SAFe), Scrum, XP, Kanban, or other scaled Agile model Have degree in Computer Science/Business or similar valuable experience Additional Requirements and Details: Travel required up to 10% of the time. Located and working from an office location. Occasional lifting and/or moving up to 10 pounds. Frequent repetitive hand and arm movements required to operate a computer. Specific vision abilities required by this job include close vision (working on a computer, etc.). Frequent sitting and/or standing. Is this role not an exact fit for you? Keep an eye on our Careers Page for other positions! Vertafore is a drug free workplace and conducts preemployment drug and background screenings . The selected candidate must be legally authorized to work in the United States. The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all the job responsibilities, duties, skill, or working conditions. In addition, this document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Vertafore strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law. We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.

Job Description Job Description Shape the future of Search. About BrightEdge BrightEdge is a leading enterprise SEO and content performance platform that helps companies understand how their digital content drives real business results. Founded in 2007, we're trusted by thousands of organizations across more than 80 countries, including brands like Microsoft and Visa. Our platform combines powerful data and AI-driven insights allowing our customers to plan, optimize, and measure campaigns based on real-time content performance. What sets BrightEdge apart are our people. With 400+ global employees across 7 offices, we foster a collaborative, curious, and supportive environment where smart ideas are encouraged and impact is visible. If you enjoy solving meaningful problems, learning new things, and working alongside talented teammates while helping shape the future of digital marketing, BrightEdge is a great place to build your career. About the Role BrightEdge is growing, and we are looking for a sharp, problem-solving Senior Analyst of Revenue Operations who knows "what good looks like" and is eager to help optimize and scale our go-to-market engine. This role is ideal for someone with a background in management consulting, strategy & operations, or business operations who wants to bring their analytical rigor, process-mapping skills, and executive communication to a high-growth SaaS organization. Reporting directly to the Director of Revenue Operations, you will have a front-row seat to revenue strategy, partnering closely with Sales Leadership and C-suite executives. As a core individual contributor, you will evaluate current operational workflows, pinpoint bottlenecks, and drive tangible improvements-with a particular focus on enhancing and redesigning our Salesforce (SFDC) ecosystem, streamlining Deal Desk governance, and establishing scalable sales processes. Over time, this role offers a clear trajectory for career growth and leadership as the RevOps function expands. How You'll Spend Your Time Executive Presentation & Stakeholder Partnership: Partner directly with Sales and Customer Success Leadership and executive stakeholders, translating complex operational data and workflow challenges into clear recommendations and actionable roadmaps. Proactively surface your findings and help drive revenue growth. Bookings & Retention Forecasting: Own bookings, upsell and renewal (CRR) forecasting end to end - rebuilding the underlying models and delivering the forecast as a standing, systematized report on a published cadence that Finance and executive leadership rely on directly. Process Discovery & Optimization: Apply a structured, consulting-style approach to audit current-state sales workflows, identify inefficiencies, and design future-state operational frameworks that improve sales velocity and consistency. Salesforce Enhancement & Redesign: Partner closely with our Salesforce administrator to drive improvements to our Service Cloud environment - defining and prioritizing changes to data architecture, automated workflows, and the reports and dashboards leadership depends on, then carrying them through to delivery and adoption. Deal Desk Workflows & Governance: Support and optimize day-to-day Deal Desk operations in tandem with the Deal Desk Manager, refining approval matrices, standardizing discount guidelines, and accelerating the quote-to-close cycle. End-to-End Project Management: Own operational projects from scoping and stakeholder alignment through implementation, documentation, and change management enablement. Month End Close: Owns the operational reporting process and documents and works with finance and compensation teams to execute month end accurately and on time. We're Excited About You If You Have 2+ years of experience in management consulting, strategy & operations, or business/revenue/sales operations, with a demonstrated track record of analyzing business processes and delivering measurable improvements. Proven ability to break down complex business problems, map operational workflows, and design pragmatic, scalable solutions. Exceptional written, verbal, and visual presentation skills; comfortable presenting findings, frameworks, and recommendations to senior leaders. Strong quantitative analysis skills across Excel/Google Sheets, Salesforce reports and dashboards, AI tools, and/or modern BI platforms - including the ability to build and maintain working forecast models for renewals, upsell and bookings. Strong Salesforce Acumen: Practical experience or strong foundational knowledge of Salesforce administration, objects, fields, and automation. Salesforce certifications or experience with SFDC redesigns are a strong plus. Project Management Rigor: Strong organizational habits with the ability to manage multiple workstreams, drive cross-functional alignment, and see initiatives through to completion. Industry Background: Prior experience in or exposure to SaaS/technology is a plus but not required for candidates with strong consulting fundamentals. Bachelor's degree is required in Business, Finance, Economics, Engineering, Information Systems, or any related field. Ability to work on-site at least 4 days a week in our Chicago, IL office. Benefits! Motivating, high-impact work that builds your career Medical, dental, and vision insurance with multiple package options 15-23 days PTO depending on tenure plus 10 paid holidays Pet insurance to keep your fur family happy and healthy Pre-tax commuter benefit plan and company contribution to help reduce parking/public transit costs No or low cost therapy and professional coaching sessions through Spring Health 4-6 weeks fully paid parental leave Quarterly office outings: Baseball games, boats, and more! Actual compensation will depend on your skills, experience, and other job-related factors. How we work BrightEdge is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status. If you're excited about this role but don't meet every qualification, we encourage you to apply. Imposter syndrome can hold great candidates back, and we believe potential and willingness to learn matter just as much as checking every box. We value diverse perspectives, experiences, and ways of thinking, and we're committed to building a team where everyone feels they belong and can do their best work.

Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.

Job Description Job Description Be Part Of A High-Performing Team Join a global climate technology organization developing advanced thermal solutions for high-density data centers and the broader semiconductor ecosystem. This team operates at the intersection of mechanical engineering, liquid cooling, controls, system integration, and product commercialization. The organization is expanding its data center capabilities to support next-generation computing environments with reliable, scalable, and energy-efficient cooling architectures. Team members collaborate with engineering leaders, product teams, customers, consultants, and industry organizations to transform emerging technologies into practical commercial solutions. This opportunity is designed for an experienced data center thermal professional who can bring immediate technical credibility, influence system direction, and communicate effectively with customers and senior stakeholders. What's In Store For You A highly visible role supporting advanced data center cooling initiatives The opportunity to influence next-generation liquid cooling architectures Remote flexibility for highly qualified candidates Collaboration with senior engineering, product, commercial, and customer teams Participation in industry associations, technical committees, conferences, and standards development Exposure to system design, simulation, validation, commissioning, and commercialization Opportunities to mentor technical professionals and shape long-term engineering strategy Comprehensive health, retirement, family-building, educational, wellness, and paid-time-off programs Travel support for qualified candidates attending onsite interviews in Davidson, North Carolina How You Will Make An Impact Serve as a subject matter expert for advanced data center thermal management and liquid cooling systems. Develop integrated cooling concepts spanning chips, racks, coolant distribution units, facility water systems, controls, and heat rejection. Evaluate system architectures, equipment capabilities, operating modes, control strategies, and performance tradeoffs. Perform or guide thermal analysis, computational fluid dynamics, modeling, simulation, and equipment evaluation. Develop system documentation, piping concepts, mode tables, control requirements, and sequences of operation. Support system validation through digital analysis, laboratory testing, commissioning, and field evaluation. Collaborate with product teams, technical specialists, consultants, customers, and commercial leaders. Provide technical guidance during strategic customer pursuits and system commercialization efforts. Deliver technical presentations to customers, leadership teams, sales organizations, and industry audiences. Participate in organizations such as ASHRAE, the Open Compute Project, IEEE, or other relevant standards groups. Translate emerging cooling technologies into reliable, scalable, and market-ready solutions. Do You Have the Expertise to Lead in Data Center Thermal Systems? Bachelor's degree in mechanical engineering, thermal sciences, controls engineering, or a closely related discipline. At least eight years of relevant engineering, system integration, or technical product experience. Direct professional experience supporting data centers, mission-critical facilities, or data center cooling products. Demonstrated experience with liquid cooling technologies such as direct-to-chip cooling, immersion cooling, coolant distribution units, or facility water systems. Strong understanding of thermal-fluid systems, HVAC equipment, cooling infrastructure, controls, and heat rejection. Ability to evaluate complete thermal management systems rather than individual components. Experience with CFD, ANSYS, thermal modeling, fluid modeling, or system simulation is strongly preferred. Absorption cooling experience is highly valued. Experience developing system modes, control requirements, or sequences of operation is preferred. Commissioning, field validation, troubleshooting, or facility integration experience is strongly valued. Strong customer-facing, presentation, written, and verbal communication skills. Ability to explain complex technical topics clearly to both engineering and business audiences. Experience influencing technical direction across multiple teams and stakeholders. Professional Engineer licensure, advanced technical education, or industry committee participation is beneficial but not required. Willingness to travel domestically and internationally as needed.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description As a Senior Network Security Engineer at Penumbra, you will play a critical role in determining the company's long term goals. You will be a key member of the Information Security and Compliance team. This is a highly technical, hands-on role. The Sr. Network Engineer will collaborate with Security, IT, Manufacturing, and Engineering teams and be responsible for engineering solutions and supporting operational activities across a hybrid cloud environment. The role responsibilities include ensuring compliance with legal and regulatory requirements and maintaining company security policies, standards, and industry's best practices. What You'll Work On • Ensure the network security of on-premises and cloud-based systems, networks, infrastructure, and services. • Enforce secure design standards and specifications for services, systems, and products. • Responsible for network security solutions, control designs, and enforcement across our environment. • Design and perform security assessments, configuration verification, configuration reporting, and other activities to validate control effectiveness. • Engage and share results of security audits with the Information Security and business partners to promote changes vital to improve risk posture. • Collaborate with cross-functional teams to develop and implement security measures supporting on-prem and cloud systems. • Develop roadmaps, standards, and documentation for technical solutions and existing configurations. Serve as the subject matter expert across the network security environment. • Respond to and lead, as appropriate, incident response activities for security incidents. • Collaborate with IT and line of business teams to integrate security into new and existing systems, processes, and initiatives. • Manage and configure security services, e.g., firewalls, intrusion detection/prevention systems, threat prevention technologies, VPNs, and other network security appliances. • Create and maintain documentation for security procedures, designs, and protocols, conduct security training and awareness for staff as appropriate to the role. • Stay current with emerging security threats and technologies in the security landscape. Ensure compliance with regulatory requirements and industry standards in the Company's environment. What You Contribute • A Bachelor's degree in computer science or related field with 10+ years of related experience, or equivalent combination of education and experience. • Master's degree preferred in Computer Science or Engineering with an emphasis in Computer Security or a related field • Highly analytical and results and process-oriented mindset strongly desired • 10+ years of hands-on design, enforcement and testing/validation of offensive security, defensive security, systems, and solutions engineering in a large enterprise • 5+ years of hands-on security experience with cloud platforms, i.e., Azure, AWS or Google Cloud Platform services, automation, or IaC • 5+ years of hands-on experience network security experience and expert-level knowledge on security technologies such as Palo Alto Firewalls, Cisco ISE, IPS, CASB, VPN management, SAML/OIDC NAC 802.1X, SIEM, SOAR, Radius/TACACS+, directory services • Proficient with network topologies, routing protocols, i.e., OSPF, BGP, ISIS, SDN, and tunneling technologies. • Proficient with diagramming and threat models, ability and competency to design and implement controls at scale based on risks • Proficient in conducting solutions architecture, security design reviews, passionate about security and privacy research, technologies, and methods. • Possess an understanding of past and emerging security exploits, threat actor motivations, and trends • Understanding security and compliance frameworks, security engineering, software delivery, and SDLC in a hybrid environment • Outstanding ethical standards and integrity. • Excellent communicator with strong oral, written, and interpersonal communication skills • High degree of accuracy and attention to detail • Proficiency with Microsoft Word, Excel, Visio, and PowerPoint • Excellent organizational skills with the ability to prioritize assignments while handling various projects simultaneously. Working Conditions General office environment. Willingness and ability to work on site. May have business travel up to 10%. Requires some lifting and moving of up to 10 pounds Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $146,000 - $220,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical lead Position Overview We are seeking a Senior Data Engineer / Data Architect to lead the design and hands-on development of our enterprise data foundation. This role will connect data across ERP, CRM, ecommerce, marketing, production, finance, fulfillment, and internal business systems to support trusted reporting, AI initiatives, automation, and internal applications. This is not an architecture-only or advisory position. The successful candidate must have genuine architecture experience and the ability to personally build production-grade data platforms, pipelines, models, integrations, quality controls, and data services from the ground up. The ideal candidate combines strong engineering execution with the ability to define scalable architecture, establish technical standards, and communicate effectively with both technical and business stakeholders. Top Requirements Hands-on experience with Databricks, including Lakehouse architecture, Apache Spark, data pipelines, notebooks, workflows, and production deployments. True data architecture experience, including designing enterprise data platforms, defining systems of record, developing data models, establishing data governance, and making cross-system architecture decisions. Demonstrated success engineering implementations from the ground up, rather than only maintaining or advising on existing solutions. Key Responsibilities Data Architecture Assess the current data environment, including systems, databases, APIs, integrations, reports, scheduled jobs, and data owners. Design and implement a scalable enterprise data architecture supporting reporting, AI, analytics, and internal applications. Define authoritative systems of record for customer, product, order, revenue, inventory, location, marketing, and production data. Establish common data models, identifiers, data contracts, schema standards, retention policies, and integration patterns. Determine appropriate use of batch processing, real-time events, APIs, webhooks, and governed data services. Develop architecture diagrams, technical standards, roadmaps, and implementation plans. Data Engineering and Implementation Build production-grade data pipelines and lakehouse solutions in Databricks. Develop reliable ETL and ELT processes using SQL, Python, Apache Spark, and orchestration tools. Integrate data from ERP, CRM, ecommerce, marketing, manufacturing, finance, and internal applications. Create tested transformations that produce consistent and reusable business data. Build secure APIs and data services for approved reporting, AI, automation, and application use cases. Design systems that handle failures, changing schemas, retries, late-arriving data, and duplicate-processing risks. Establish source control, automated testing, code review, deployment pipelines, and release processes for data engineering work. Data Quality and Reliability Implement automated checks for completeness, accuracy, freshness, duplication, volume changes, and consistency. Reconcile key business measures such as orders, revenue, inventory, customer counts, and production activity across systems. Monitor pipeline performance, failed jobs, delayed data, schema changes, and data-quality incidents. Build alerting, operational dashboards, runbooks, and incident-response processes. Work with source-system owners to correct the root causes of data issues. Governance, Security, and Documentation Establish practical standards for data ownership, classification, access, retention, and approved use. Apply role-based access controls, encryption, audit logging, and appropriate protection for sensitive and confidential information. Maintain clear data definitions, lineage, integration documentation, runbooks, and architecture diagrams. Partner with IT, Legal, Infrastructure, Applications, and business leaders on privacy, security, and compliance requirements. Create governed access patterns that reduce uncontrolled direct access to production systems. Reporting, AI, and Internal Applications Develop trusted, reusable data models for reporting, dashboards, forecasting, and business analysis. Prepare structured and governed data for AI agents, retrieval systems, automations, machine learning, and internal applications. Partner with the Director of AI and internal product teams to accelerate delivery of data and AI use cases. Establish standards for monitoring how applications and AI solutions access and use company data. Cross-Functional Leadership Collaborate with technology, finance, operations, ecommerce, marketing, sales, production, and other business teams. Translate technical data risks into clear business impacts, options, costs, and recommended actions. Review vendor-built integrations for documentation, security, maintainability, and quality. Provide technical leadership and establish standards that improve how teams collect, define, share, and use data. Work independently, set priorities, document decisions, and deliver measurable results. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description A Senior Data Engineer at Visa plays a pivotal role within a cross-disciplined agile team, contributing to the product backlog and delivering critical features to enhance data presentation for customers and engineering teams. This position involves driving improvements to processes and practices, providing technical leadership, and mentoring others. The role requires dedication to technical excellence in code writing, team collaboration, testing, and documentation. Senior Data Engineers work alongside intermediate and senior engineers, agile team members, and consultants, demonstrating strong communication skills and a willingness to collaborate across disciplines as needed. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solution fixes. Translate functional requirements into system designs and communicate component interactions. Design and develop product components, refine code plans for architecture, and lead design reviews. Participate in project estimation and review product estimations, considering delivery costs and escalating issues as needed. Lead by example and mentor others in creating extensible, maintainable, and reusable code. Apply debugging tools to address moderately complex issues and identify opportunities for automation. Lead code reviews to ensure coding standards and best practices are followed. Create complex test plans, identify tools, prioritize tests, and interpret test results to inform planning. Proactively identify and contain defects in software code to minimize customer impact and share findings with stakeholders across product features. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Expert-level experience with the Spark framework, Hive-based technologies, and broader Big Data development tools and platforms. 5+ years of hands-on programming experience in Java, Scala, or Python, with the ability to quickly develop clean, production-quality prototypes and core application components. Practical experience applying Generative AI and Large Language Models in data engineering, including leading initiatives that leverage GenAI to improve team productivity and operational efficiency. Strong working knowledge of SQL, NoSQL, graph databases, and RESTful APIs. Demonstrated success leading large-scale, end-to-end projects that deliver measurable business impact, from initial concept through production delivery. Strong understanding of algorithms, data structures, and core computer science fundamentals. Practical experience with data modeling for both relational and non-relational database systems. Experience collaborating with data scientists and machine learning teams, with the ability to discuss major machine learning paradigms, algorithms, and common software tools. Hands-on experience designing, building, and managing reliable data pipelines that move data across systems using tools such as Apache Airflow. Proficiency with version control systems such as Git, along with experience implementing CI/CD pipelines for automated testing, deployment, and release management. Demonstrated leadership behaviors, including a positive mindset, quick learning ability, collaboration, courage in leadership, and strong customer obsession. Experience in mentoring junior engineers and providing technical leadership. Experience in refining code plans for architecture and sharing learnings with the team. Experience in driving security assessment processes to ensure code quality. Experience in collaborating with cross-functional teams to deliver solutions. Ability to manage multiple, competing priorities effectively in a fast-paced, dynamic environment. Experience supporting data quality, data lineage, data governance, compliance, and security requirements within data engineering environments. Information for US Applicants For roles located in the US, the estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Network & Security Engineer Senior Consultant operates Visa's internal data communications systems, including LANs and WANs. This role plans, designs, and implements networked systems, manages configurations, supports and troubleshoots network problems, and coordinates with vendors for installation of routers, bridges, concentrators, and switches. The position is responsible for project implementation, provides training, assists with proposal writing, and conducts project planning, cost analysis, and vendor comparisons. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Design, engineer, and support IP networks for Visa's commercial network infrastructure, connecting Visa to commercial clients. Plan, design, implement, and support network systems of moderate complexity in the commercial network environment. Provide network design documentation to project teams, peers, and network support organizations. Provision new client processing by completing necessary network updates and providing technical assistance to clients in support of network changes. Perform third-level support within Visa to resolve network issues and provide guidance to other Visa teams involved in network troubleshooting. Work with Cybersecurity to ensure Visa security standards are met and provide technical assistance for investigation and analysis of security events. Oversee management and maintenance of DDI (DNS, DHCP, and IPAM) infrastructure, ensuring high availability and reliability of DDI services. Implement DNS changes and updates aligned with business requirements; provision new domains, networks, ACLs, templates, subnets, and DHCP scopes. Develop self-service tools for application and infrastructure clients to gain better visibility of real-time network health and performance. Architect, design, and deliver innovative solutions to enable public cloud connectivity with Private DCs, including developing standard automation templates for deployment of public cloud infrastructure and platform components. Drive software development for Visa's Infrastructure as Code (IAC) efforts across Private/Hybrid/Multi Cloud environments. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Degree in Math, Science, Engineering, or Computer Science, Information Systems or related field OR Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum two (2) years of experience in a directly related field OR minimum four (4) years of directly related experience. Experience in network design and engineering on customer-facing networks. Experience in IP networking, switching, and routing in MPLS-based networks. Experience with network hardware including certified experience with Cisco networking devices (formal certification to CCNP level or working towards CCNP is expected or relevant work experience). Experience and expertise with IP routing protocols OSPF and BGP, plus knowledge of Cisco encryption technologies (IPSec, SSL), standby protocols HSRP and VRRP, and network address translation (NAT). Experience in scripting to facilitate automation. Experience deploying and using SDWAN technologies, particularly Cisco and Versa. Experience working on connectivity solutions using leading public cloud platforms such as AWS and GCP. Experience working in a variety of network operating models including managed services. Experience in the use of network management tools such as Solarwinds and Netbrain. Experience implementing engineering solutions for network monitoring and alarming tools, leveraging vendors such as Netcool, IBM SevOne/ITNM, Solarwinds, Netscout, Netbrain, and Thousandeyes. Familiarity with DMVPN implementation in a high availability setting. Experience with DDI (DNS, DHCP, and IPAM) in an enterprise network, with a solid understanding of DNS and DHCP concepts. Experience with open-source infrastructure as code software and automation software development tools including Terraform, Terragrunt, env0, Ansible, Python, Chef, Puppet, or Salt. Experience with container technologies in a production environment (e.g. Docker, OpenShift, Kubernetes) and related ecosystem products. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.