Delivery Senior Engineer Jobs

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness. Quality & Compliance Focus Embed automated testing, monitoring, and release safeguards into the development lifecycle. Proactively address compliance and audit-readiness requirements in application

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV) Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. Solid programming skills, with a good understanding of data structures and computer systems fundamentals. Strong learning agil

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role At SoFi, we're building AI capabilities that fundamentally change how our teams operate, innovate, and serve our members. We're looking for a Senior Director, AI Enterprise Transformation to lead enterprise-wide AI adoption by partnering with technology and business leaders to identify, prioritize, and deliver high-impact AI initiatives. This is a highly cross-functional leadership role for someone who combines deep technical understanding of modern AI technologies with exceptional executive influence and change leadership. You will work across Engineering, Product, Enterprise Architecture, Data, Corporate IT, Operations, and business functions to accelerate AI adoption, establish best practices, and drive measurable business outcomes. Success in this role requires someone who can translate emerging AI capabilities into scalable enterprise solutions while inspiring teams across SoFi to embrace new ways of working. You will serve as both a strategic advisor and transformation leader, helping shape SoFi's AI roadmap and ensuring AI investments deliver meaningful impact across the company. What You'll Do Lead enterprise-wide AI transformation initiatives that improve operational efficiency, employee productivity and growth for SoFi. Partner with executive leadership to develop and execute SoFi's AI tr

The Monetization Strategy team drives Asana’s pricing/packaging strategy and execution, helping our customers get more value out of our offerings and capturing a fair share of that value. We work cross functionally to deliver impactful offerings for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Product/Engineering, Sales/Support, Customer Research, Marketing, Data Science, Finance and Operations to deliver valuable offerings to our customers. You’ll take part in every type of product work here – from strategy to product to process improvements – conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. As Senior Pricing Strategy & Operations Manager, you will serve as a leader shaping Asana's product monetization strategy across the organization. This is an individual contributor-style role with no direct reports, reporting to the Head of Pricing & Packaging. You will partner closely with executive stakeholders across Product, Sales/GTM, Marketing, Finance, and Operations to define, launch, and optimize our end-to-end monetization strategy—driving sustainable revenue growth, unlocking new business opportunities, and delivering an exceptional customer experience at scale. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own and drive the monetization strategy, including packaging, pricing models, price levels, and discount strategy. E

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We're defining a new category of technology as the human agent operating system by inventing new ways for teams to work together more efficiently. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here, from strategy to product to process improvements, by conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We are looking for an experienced Product Manager to join our Enterprise Data Governance team. Our team owns the strategic platform capabilities that govern the full lifecycle of customer data, including retention, migration, auditing, export, and operational governance. We are foundational to Asana's enterprise success, providing the controls and policy frameworks that allow large organizations to meet complex regulatory requirements and securely adopt AI. As a Product Manager here, you will bridge the gap between technical infrastructure and enterprise customer needs, partnering closely with Engineering, Security, Legal, and Design to reduce operational burden and build the governance foundation that helps people and AI agents collaborate safely at scale. This is a high-impact role at the intersection of enterprise trust, regulatory compliance, and platform strategy, directly driving Asana’s growth in highly regulated industries. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams wit

The Monetization Strategy team drives Asana’s pricing/packaging strategy and execution, helping our customers get more value out of our offerings and capturing a fair share of that value. We work cross functionally to deliver impactful offerings for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Product/Engineering, Sales/Support, Customer Research, Marketing, Data Science, Finance and Operations to deliver valuable offerings to our customers. You’ll take part in every type of product work here – from strategy to product to process improvements – conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. As Senior Pricing Strategy & Operations Manager, you will serve as a leader shaping Asana's product monetization strategy across the organization. This is an individual contributor-style role with no direct reports, reporting to the Head of Pricing & Packaging. You will partner closely with executive stakeholders across Product, Sales/GTM, Marketing, Finance, and Operations to define, launch, and optimize our end-to-end monetization strategy—driving sustainable revenue growth, unlocking new business opportunities, and delivering an exceptional customer experience at scale. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own and drive the monetization strategy, including packaging, pricing models, price levels, and discount strategy. Ensur

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications. 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’ll Do: Own and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions Define how developers monitor, debug, and operate serverless systems across distributed environments Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers Engage with customers to understand serverless adoption patterns and validate product direction Define and track success metrics such as adoption, usage, and impact on developer workflows Who You Are: 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability Strong understanding of distributed systems, cloud-native architectures, and modern application development practices Familiarity with serverless technologies, containers, Kubernetes, or microservices environments Comfortable working closely with engineers and discu

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est

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. This role is hybrid in-office at either our Menlo Park or Dublin, CA office We are hiring a Senior Manager, Technical Executive Recruiting for our People team. Our Technical Executive Recruiting team is responsible for identifying and closing Director+, Principal Engineering+, and other senior technical leadership talent that shapes Snowflake's engineering trajectory. This role exists to transform how we approach executive-level technical hiring: building proactive, market-informed strategies that position Snowflake as the destination for world-class engineering leaders, while strengthening our reputation as trusted advisors to internal stakeholders and external talent alike. RESPONSIBILITIES: Deliver hires that directly shape Snowflake's technical leadership bench and long-term technical strategy; includes Director+ leadership and world-class Principal & Distinguished Engineering talent Be a player/coach while leading a small team of executive recruiters and researchers focused on Director+ technical leadership and Principal/Distinguished Engineers across Snowflake's engineering and product management organizations Develop and execute proactive talent strategies that build long-term relationships with world-class technical leaders before roles are open Transform reacti

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, Analytics & Metrics - Open Finance Overview The Strategic Customer Analytics - Open Finance team serves as a trusted analytics partner to Mastercard's Open Finance clients, helping customers understand performance, identify growth opportunities, and maximize value from Mastercard's data and connectivity solutions. The Senior Analyst, Analytics & Metrics will play a critical role in transforming complex datasets into actionable insights that drive business decisions for both internal and external stakeholders. This role combines advanced analytics, data storytelling, client consulting, and cross-functional collaboration. The successful candidate will partner closely with Customer Success, Product, Engineering, Business Intelligence, and executive leadership teams to develop performance reporting, investigate trends, uncover opportunities, and communicate findings through compelling analyses and presentations. The ideal candidate is highly comfortable working with large datasets, and capable of translating technical concepts into clear business recommendations. They will have opportunities to influence strategic initiatives, support key client relationships, and help shape the future of analytics within Mastercard's Open Finance organization. You will also collaborate closely with

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Procurement Manager - Data Centers We are looking for a fast learner and hands-on Procurement Manager to join Adyen's Procurement team, a dynamic global team within our Finance function. The goal of the team is to contribute to Adyen’s 10x ambition through sustainable commercial decisions, risk mitigation, contract and vendor management, ultimately empowering stakeholders to deliver their strategies. You will work in the data center category, alongside another category manager and a supply chain manager, but as Adyen grows, and the Procurement team with it, this scope might change and increase in the future. What you'll do Act as a business partner to stakeholders such as Infrastructure, Data Center Engineering, Legal and Sustainability, delivering value and enabling their strategies. Lead and initiate commercial negotiations, including but not limited to contract renewals and setting up new agreements. Be responsible for the supplier selection process, RFx and screening. Work with the Infrastructure team on roadmaps, including our DC expansion plans. Do vendor monitoring on performance and contractual agreements. Be tracking and reporting on industry trends. Build and maintain relationships with key vendors. Who you are 7+ years of relevant experience, including category management or sourcing. Deep knowledge and exper

Job Details: Job Description: The Intel Logic Technology development (LTD) organizations delivers process technology innovation to drive Intel's product roadmap. We give you opportunities to transform technology and create a better future by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and many more creative perks that make Intel a Great Place to Work. As a Process Integration Development Engineer, you will play a pivotal role in advancing Intel's semiconductor process technologies within the Logic Technology Development (LTD) group. Your day-to-day involves designing, optimizing, and implementing integrated process solutions that drive Intel's next-generation technology. By leveraging your expertise in process integration, yield analysis, and data-driven problem solving, you will contribute directly to the seamless transition of emerging technologies from development to high-volume manufacturing, ensuring Intel remains at the forefront of semiconductor innovation. Job Responsibilities include but are not limited to: ​ LTD Semiconductor Senior Process Integration Development Engineers are responsible for leading scientific research enabling the manufacture of innovative device architectures but not limited to: Lead scientific research enabling the manufacture of innovative device architectures coupled with the realization of these architectures. <li