Engineer Senior Jobs

About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. Design intuitive user journeys that combine polished interfaces, reliable servi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure. What you’ll do You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company. Responsibilities Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. Working directly with product teams and ML engineers to improve their day-to-day pr

The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road. You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets. In this role, you will: Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise. Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms. Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency. Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap. Establish best practices and processes around simulation, evaluation, and data-driven decision-making. Qualifications Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages. Experience building tools, services, or frameworks that make complex systems usable by non-specialist users. Familiarity with any version control system, with preference for Git. Experience designing metrics and building mechanisms that deliver robust, actionable insights. Good communi

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through a combination of strategic partnerships and self-built campuses, we are scaling the compute, storage, and networking platforms that power frontier AI training and inference. The Scaling Analytics team builds the data and software systems that help Industrial Compute understand, plan, and operate infrastructure at global scale. We work across capacity, hardware, storage, infrastructure software, and operational systems to connect fragmented sources of infrastructure data and make that information reliable and usable for engineering and planning. As OpenAI's infrastructure footprint grows, CPU and storage data increasingly spans internal platforms, vendor systems, APIs, databases, object storage, capacity management systems, and operational tooling. Building reliable connections across these environments is critical to understanding available capacity, utilization, fleet state, and infrastructure growth. About the Role We are seeking a Data Engineer to build the data systems and integrations that connect OpenAI's CPU, storage, and supporting infrastructure platforms. This role sits at the intersection of data engineering and backend software engineering. Rather than focusing primarily on traditional analytical pipelines, you will build the software and integrations required to collect, normalize, and make infrastructure data available across a heterogeneous set of systems. CPU and storage data may originate from internal infrastructure platforms, vendor APIs, databases, object storage, capacity systems, and operational services. You will determine how to reliably connect these systems and where those integrations should live—whether within an existing infrastructure service, an orchestration framework, a scheduled workload, or a purpose-built application. You will work closely with Infrastructure Engineering, Capacity Engineering, Storage,

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end. Collaborate with engineers, designers, data scientists, and product managers to develop new features and products. Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter. Build elegant APIs and user experiences that enable merchants to run and scale their businesses on top of the company. Contribute to the design and architecture of the next generation of Stripe’s infrastructure, to meet the high growth needs of the company and customers for years to come. Work alongside peer engineering teams, data scientists and strategy partners to design and implement critical systems that power financial decision-making while contributing to the growing team’s success. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Software Engineering, Computer Science, or a related field, plus six (6) years of experience in Software Development. Must have six (6) years of experience with/in: Working across the stack and navigating codebases with different languages, including 2 of the following: Java, Ruby, Scala, Python, or SQL; Tools including: Spark, IDE, and AWS; Developing user-facing experiences and writing queries for analyzing experiment results; Distributed computing or large-scal

We're seeking experienced engineers to contribute to flip chip package development and assembly processes for advanced semiconductor devices (2.5D/3D/chiplet/fan-out/flip-chip). This spans bump metallurgy, substrate integration, reflow and underfill processes, reliability, failure analysis, and cross-functional support through package and system productization. Core Responsibilities: Develop and optimize flip chip attach processes including bump formation, placement, reflow, and underfill for high-performance semiconductor packages. Define and manage bump metallurgy stacks (e.g., Cu pillar, SnAg, micro-bumps) and substrate pad finishes for robust interconnect performance. Drive package integration from die to substrate, ensuring alignment, coplanarity, and yield optimization. Evaluate and mitigate assembly risks including warpage, non-wet opens, voiding, head-in-pillow, and interconnect defects. Collaborate with substrate vendors, OSATs, and internal teams to define design rules (pad pitch, bump pitch, keep-outs, stack-ups). Lead process development for reflow profiles, flux selection, cleaning, and underfill dispense/cure. Perform root cause analysis of assembly and reliability failures using cross- sectioning, SEM, CSAM, and other failure analysis techniques. Support reliability qualification including thermal cycling, drop, mechanical shock, and power cycling. Work cross-functionally with design, reliability, thermal, and manufacturing teams to ensure robust package performance from concept through high-volume production. Required Technical Skills: Strong experience in flip chip packaging and assembly processes for semiconductor devices. Deep understanding of bumping technologies (solder bumps, Cu pillar, micro- bumps) and UBM/metallization systems. Experience with underfill materials, dispense techniques, flow behavior, and cure processes. Understanding of thermo-mechanical behavior in flip chip assemblies (CTE mismatch, warpage, solder

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and

We’re looking for a hands-on process and materials engineer to own wafer level molding and underfill processes, material qualification, and assembly integration across development and manufacturing. Summary: Seeking an experienced engineer to lead wafer level mold and underfill process development for advanced semiconductor packages (fan-out wafer level packaging, 2.5D/3D, chiplet). This role spans mold compound and underfill material selection and qualification, wafer level molding and encapsulation processes, underfill dispense and cure, reliability, failure analysis, and cross-functional support through package and system productization. Core Responsibilities: Develop and optimize wafer level molding processes including compression molding, transfer molding, and mold underfill (MUF) for fan-out and advanced heterogeneous packages. Own mold compound and underfill material selection and qualification, including evaluation of filler content, CTE, modulus, Tg, viscosity, and moisture uptake to meet thermo-mechanical and reliability requirements. Drive underfill process development including capillary underfill (CUF) dispense strategies, flow and void optimization, and cure profile development for high-density flip chip and chiplet assemblies. Evaluate and mitigate assembly risks including warpage, delamination, void formation, bleed-out, mold flash, and filler settling; define process windows and controls to ensure repeatable yield across wafer and panel formats. Collaborate with OSATs and material suppliers to qualify mold and underfill materials, define dispense and cure equipment requirements, and manage process transfers into production. Lead characterization of mold and underfill material properties (viscosity, gel time, cure kinetics, adhesion, CTE, modulus) and correlate material behavior to process outcomes and package reliability. Work closely with thermal mechanical modeling teams to model solder joint reliability of bump interconnects with va

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Backend Software Engine

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a hybrid in Katowice with the expectation to be in the office once per 2 weeks. We are only able to accept applications for those based in Poland or who have sponsorship to live and work in Poland. What you'll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. As a Software Engineer II on the Gold Miners team, you'll design and build features end-to-end — from Java/Spring Boot microservices running on Kubernetes in AWS, including TypeScript-based Lambda functions, to React/Angular micro-frontends on the client side. You'll work across the stack to deliver scalable, well-tested, and observable solutions, while collaborating on infrastructure (Terraform, CI/CD) and frontend architecture decisions alike. What you can expect to do in this role: Design, develop, and maintain Java-based microservices running on Kubernetes in AWS. Develop and maintain AWS Lambda functions written in TypeScript. Build React/Angular micro-frontends and contribute to a modular, module-federation-based frontend architecture. Write and maintain infrastructure code in Terraform for AWS resources supporting the services. Build and maintain CI/CD pipelines in GitHub Actions for automated build, test, and deployment. Own service observability: CloudWatch metrics configuration, Prometheus/Thanos scrape setup, Grafana dashboard definitions in Python. What we are

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Collections team, as part of the Repayments area, is on a mission to build a robust platform that will maximize the recovery of delinquent users by sending the right message to the right people at the right time, while monitoring and detecting problems and ensuring high reliability of the engineering systems. Collaborating closely with our product managers, backbook risk teams and other engineering teams , you will effectively manage loans throughout the delinquency phase of their lifecycle and develop and implement recovery strategies. We are looking for a highly motivated software engineer to build the next generation platform solutions that will allow us to manage our constantly growing volume while maintaining high availability and reliability of the systems. You will work closely with your team mates in the Collections team and Product to build robust collections solutions which will enable us to keep our loans portfolio healthy and help our customers pay on time and recover from any delays. What You'll Do · With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and devel

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Collections team, as part of the Repayments area, is on a mission to build a robust platform that will maximize the recovery of delinquent users by sending the right message to the right people at the right time, while monitoring and detecting problems and ensuring high reliability of the engineering systems. Collaborating closely with our product managers, backbook risk teams and other engineering teams , you will effectively manage loans throughout the delinquency phase of their lifecycle and develop and implement recovery strategies. We are looking for a highly motivated software engineer to build the next generation platform solutions that will allow us to manage our constantly growing volume while maintaining high availability and reliability of the systems. You will work closely with your team mates in the Collections team and Product to build robust collections solutions which will enable us to keep our loans portfolio healthy and help our customers pay on time and recover from any delays. What You'll Do · With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · On-Call Rotation - There would be an on-call rotation for this role as a requirement · Y

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: BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation. We partner across BizTech to scale service quality, efficiency, and resilience. The Difference You Will Make: As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on. You'll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over. Success looks like a shrinking backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and dashboards/reportin

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Solutions Engineer, you’ll be leading the technical discussion with our key prospects & customers, making sure there’s nothing stopping our customers from using Vanta to its fullest potential to support their own security goals. You’ll be an integral part of the Sales team, working with Commercial and Enterprise organizations to ensure technical fit and create innovative solutions for our customers. Your attention to detail and focus on customer needs will help ensure prospects clearly understand the value of our solutions from the earliest stages of engagement. consult and create innovative solutions for our customers. This will ultimately improve retention and overall success while helping to collect customer references, case studies, and product feedback. By aligning our capabilities to their business priorities and demonstrating impact before purchase, you will build confidence, differentiate us competitively, and lay the groundwork for long-term customer success. This approach will contribute to the overall success of our Sales teams while also capturing prospect insights, use cases, and feedback to help shape messaging and influence product roadmap decisions. This role is a hybrid role located in Sydney, Australia, and reports into the Director of Solutions Engineering- APJ. What you’ll do as a Solutions Engineer at Vanta: Own the technical relationship with our customers Develop a deep understanding of our product capabilities, integrations, configurations messaging, partner ecosystem, and competitive landscape. Listen carefully to prospects and clients to provide market feedback to the product team and help pri

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer (L2) Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum. About the job This position is needed to fulfill the critical role of a Software Engineer within Twilio Sendgrid, to be both hands-on in creating, deploying and managing highly available, very large scale distributed systems. Our systems processed 12 billion emails on Black Friday 2026 and we continue to scale! You will be a key contributor in one or more of these areas -&nbs