Platform Manager in United States

Become a part of our caring community We are seeking a highly experienced Lead Full Stack Engineer to drive engineering excellence across front-end, back-end, API, and data layers. This role is responsible for setting technical direction, ensuring consistent delivery across teams, and aligning engineering solutions with business priorities. The ideal candidate will be a strong technical leader who thrives in complex environments, drives modernization initiatives, and develops high-performing engineering talent. This role offers the opportunity to shape the future of our engineering landscape, influence enterprise-scale decisions, and lead transformation initiatives that directly impact customer experience and business growth. Location : Louisville, KY or Dallas, TX (Work At Home with occasional office visits) Key Responsibilities Engineering Leadership & Strategy Lead full stack engineering strategy and execution across UI, APIs, and data platforms Define architectural direction and ensure high standards for code quality, scalability, and maintainability Select frameworks, languages, and platforms across front-end, back-end, APIs, and data layers Approve architectural patterns (monolith vs. microservices, cloud strategy, and integrations) Identify opportunities to refactor, modernize, or retire legacy systems Delivery Execution & Prioritization Drive consistent delivery across multiple engineering teams through: Sprint planning and execution Dependency management Risk mitigation Removal of technical and organizational blockers Prioritize feature development, platf

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health's Adjudication & Client Experience Engineering organization is seeking a motivated and highly skilled Senior Analyst - Software Development Engineering to join our Application Production Support team. This role will support critical business applications by providing production support, troubleshooting technical issues, and contributing to ongoing application enhancements and stability improvements. As a Sr. Analyst, you will work closely with Lead Engineers, Software Development Engineers, Product Owners, QA teams, and business stakeholders to investigate and resolve production incidents, perform root cause analysis, and implement code fixes. You will be responsible for supporting enterprise applications built on Java, Angular, APIs, and Cloud platforms while ensuring the reliability and performance of systems that serve our PBM (Pharmacy Benefit Management) business. This role is ideal for a hands-on engineer who enjoys solving production challenges, developing software solutions, and collaborating within a fast-paced environment. The successful candidate will contribute to application support activities, system enhancements, and continuous improvement initiatives while growing their technical and business domain expertise. Required Qualifications 5-8 years of experience in software development, application s

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we're not just transforming the world of computer graphics and AI; we're setting the stage for the future of autonomous driving. As a Lead Safety Architect, you will be at the forefront of our autonomous vehicle technology, ensuring its safety at scale. You will collaborate with the most innovative engineers and technologists to integrate safety measures into our latest DRIVE products. This role is paramount in achieving and exceeding NVIDIA's high safety standards, making your work both exciting and impactful! What you’ll be doing: Representing NVIDIA’s functional safety strategy and architectures to the customer Working closely with customers to understand their functional safety requirements and system architectures and feeding those back into the development teams Assisting customers to safely integrate and validate our products in their systems and vehicles Supporting customer facing safety collateral Tailoring functional safety platforms and safety analyses for strategic customers You will be working closely with safety management, solution architects, sales and technical marketing teams to deliver state of the art products

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Partnerships team develops strategic relationships with technology platforms and other ecosystem partners that expand the reach and impact of Plaid’s products. This role will focus on data and product partnerships that power Plaid’s Credit products and insights. Plaid’s Credit team is building the future of lending by making cash flow data as widely used and trusted as traditional credit data. Our mission is to expand access to more affordable credit by giving lenders real-time financial insights that improve risk assessment and decision-making at scale. In this role, you will build and manage the external data partnerships that power Plaid’s Credit products. The partner ecosystem is broad and includes traditional credit data providers, alternative data providers, financial infrastructure companies, and other sources of differentiated data and insights. You will work closely with Product and Engineering to understand where new data can improve existing products or unlock entirely new capabilities. You will identify and prioritize partners, develop creative commercial structures, and negotiate complex agreements that balance product, economic, and strategic considerations.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Where Data Does More. Join the Snowflake team. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc . in Computer Science Fluency in Ja

About the Team OpenAI's People team helps hire, develop, and support the people building safe and beneficial AGI. Within that team, People Systems builds the technical foundation that enables our HR, recruiting, payroll, benefits, and performance operations to scale with quality, speed, and rigor. We work at the intersection of HR systems, software engineering, and internal tooling. Our goal is not just to keep core systems running, but to build durable technical leverage for the company. About the Role We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI. This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems. You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline. You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch. In this role, you will Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices Build technical solutions that connect Workday with i

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our New Business team at Plaid combines deep product and industry knowledge and is focused on bringing Plaid to an ever-broadening set of businesses. Our thesis is that every institution in the banking and wealth management ecosystem can benefit from better financial technology, and that many traditional financial firms that don't currently consider themselves to be fintech actually need to operate like one to win. You'll be the one helping us achieve this vision. As a New Business Representative for our Banking & Wealth (B&W) segment, you'll forge the path to finding new clients and prospecting traditional banks, credit unions, wealth-tech platforms, and digital brokerages for us to target. We are looking for extraordinary sales professionals with SaaS/tech and/or outbound selling experience who can demonstrate the added value of Plaid and what impact it can have on modernizing the banking and investment experience. In this role, you will be responsible for organizational mapping, prospecting individuals, driving engagement, setting opportunities for AEs, taking qualification calls, and nurturing early opportunities. The ideal candidate is customer-centric, resilient, challenges the status

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: The Platform Engineer, AI Tooling on the Developer Experience Team (part of Foundation Engineering group) will help build the internal AI platform that makes Drata's engineers more efficient - the tools, agents, and integrations that turn AI coding agents (and the rest of the AI dev stack) into the default way work gets done at Drata. This is not a product-AI role - you're not buil

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Platform Engineer, you will contribute to building and improving Stitch Fix’s cloud-native infrastructure and internal developer tooling. You’ll work on tools and automation that help product engineers deploy, operate, and debug services more easily, while learning modern platform engineering practices alongside experienced teammates. This role is ideal for engineers who enjoy improving developer experience and want to grow their skills in cloud infrastructure and CI/CD systems. Responsibilities: Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity Collaborate with platform and application engineers to identify friction points and implement incremental improvements Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows Have opportunities to propose ideas and improvements, with support and mentorship from the team Things you’ll get exposure to (and we don’t expect experience with everything): AWS Terraform, Pulumi CircleCI Docker, ECS, EKS Ruby, Golang, Python About You 2+ years of software development and infrastructure experience with significant contribut

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: We are seeking a talented and experienced Platform Engineer to join our team. Possessing strong proficiency with Kubernetes, the ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers. As a Platform Engineer within our organization, you will join a team of dedicated unicorns who are focused on advancing freedom and independence globally. Our teams work on various different technical baselines depending on specific engagements. We focus our Products on the Platform layer, but to deliver for our Heroes, we also work IaC automation, security, and implementation. Responsibilities: You will help us automate and build a runtime Production Environment and serve as a link between the Applications, either custom development, COTS, or OSS, and that environment, advocating best practices and facilitating communication between the application teams and platform teams. In this position, you will be expected to: Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform. Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams. Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform. Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resourc