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Lead Software Engineer Core Interfaces Jobs

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Explore current lead software engineer core interfaces jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
Coinbase
📍 - USA• Full-time• Remote• From $186.1K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer (EAA) The EAA Compliance CXAE team, part of Coinbase's Enterprise Applications and Architecture org, builds AI-first surfaces, tools, and applications that streamline compliance processes and improve the efficiency and effectiveness of Compliance agents. As a Senior Software Engineer, you'll build full-stack applications that enable Coinbase Compliance Agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations. What you'll do: Build end-to-end user-facing features using Golang, React, and cloud technologies, delivering AI-first compliance tooling that improves agent productivity and KYC process accuracy. Lead assessment, selection, and implementation of third-party tools and vendor integrations into the compliance agent experience platform. Drive cross-functional delivery of complex technical solutions in collaboration with product, design, security, data, and peer engineering teams. Architect platform improvements that build upon existing development practices and technical domains, delivering reusable capabilities that benefit multiple teams across the organization. Own reliability for Tier-1 compliance systems by anticipating potential issues before they reach production and adapting your approach proactively to work within constraints. Mentor engineers in f

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C
Coinbase
📍 - Canada• Full-time• Remote• From C$191.1K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. What you'll do: Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection a

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L
Lyft
📍 Mexico City• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Luxury team builds rich and creative features that set the standard for the ride sharing industry. We are looking for a motivated software engineer to join us building features for Black, Black SUV, and other upmarket modes where quality is uncompromising, where we work on balancing and growing these unique marketplaces within the wider Lyft ecosystem and influencing driver behavior to facilitate highest-quality rides. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. You'll collaborate with engineering, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers. Preferred applicants intend to work regularly from our CDMX office, where team members collaborate together in person. Responsibilities: Help establish roadmap and architecture based on technology and understanding of customer needs Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Can help lead large projects from idea to positive execution Unblock, support and communicate with internal partners to achieve results Experience: Engineering industry experience Experience with object-oriented programming Experience in distributed systems Experience working with databases, relational or NoSQL Write clear, scalable and clear design documentation Design, build and improve a set of team owned components Please submit your resume in English.

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Lyft
📍 San Francisco• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Business organization builds the platform that lets organizations move the people they depend on employees, clients, and customers. From the foundational mechanics of a company funding and provisioning a ride to the tailored workflows that get an employee to a client meeting or home after a late shift, we sweat the small stuff to make Lyft the transportation solution businesses build their programs on. As a Staff Software Engineer on the Lyft Business Team, you will act as a critical technical leader, taking holistic ownership of complex systems that span the rider experience, the administrator experience, and the enterprise integrations behind them — defining strategic roadmaps, driving cross-functional alignment, and driving engineering excellence to improve how organizations move their people. Responsibilities: Shape the long-term architecture for systems, taking accountability for both short-term functionality and long-term health Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform's stability, tracking down issues root causes and building preventive safeguards for your immediate scope and beyond. Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of s

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Lyft
📍 Ukraine Anywhere• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Global Support & Partnerships team is a critical and unique part of helping Lyft succeed in our purpose to Serve and Connect. We support Lyft's international growth by developing integration platforms that seamlessly link global customers to an exceptional customer care experience. We go beyond simply supporting customers; we build the foundational infrastructure that turns every support interaction into a moment of genuine connection. Whether supporting our established North American community or welcoming new users worldwide, we ensure a unified, reliable, and efficient experience for riders, drivers, applicants and support agents alike. We are looking for an experienced technical leader who can support our global ambition by designing, owning, and scaling the Global Support Platform. Responsibilities: Set the technical vision and strategy for a rapidly evolving product area, making high-judgment calls on architecture and technology direction Drive the adoption of AI and machine learning solutions to optimize customer support workflows and enhance operational efficiency across the platform. Lead a team of talented engineers who ship code and tackle hard engineering problems, maintaining a high bar for technical excellence Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Drive the responsible adoption of AI development tools across engineering teams - modeling effective use, establishing best practices, and mentoring engineers to improve productivity without compromising code quality or security. Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team. Establish best practices f

pythonjavaaws
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Lyft
📍 Toronto• Full-time• $136K – $170K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Help define the roadmap and architecture based on technology and business needs Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Lead projects of multiple people from idea to positive execution Write clear, scalable and clear design documentation Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge Proactively participate in resolving ongoing incidents Share your kno

pythonawsazure
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L
Lyft
📍 Toronto• Full-time• From C$136K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. We are hiring a Senior Software Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience. This team supports the backbone of Lyft’s search system, supporting millions of rides by helping our riders and drivers connect and reach their destination. Our focus is to ensure the pickup/dropoff experience is seamless by enhancing guidance and routing as well as the rider experience. Additionally the team uses map data and other signals to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all of our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched. In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best customer experiences Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps Lead large features from idea to successful execution and launch Own systems and

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L
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is a global company that connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy team is composed of engineers and analysts dedicated to ensuring appropriate data protections are applied to our drivers' and passengers' data. Our goal is to make privacy the default setting for our internal engineers and our customers. We help design architectures, build a scalable data platform, and define policies to reduce the exposure of user data and ensure appropriate privacy and security protections are applied across the company. We are looking for a highly motivated, collaborative, team-focused and technically strong Senior Software Engineer to join our Privacy team. As a member of this team, you will design and build systems that make privacy the default at Lyft. Every day, you'll partner with engineering, product, legal, and compliance stakeholders on high-impact projects — from building data redaction pipelines to enabling users to exercise their privacy rights to deploying data management systems across a diverse set of Lyft services. You'll bring strong engineering instincts, a passion for privacy, and the ability to lead large projects from idea to execution. Responsibilities: Design, build, and maintain systems that enhance privacy across the organization Independently lead large projects from idea to execution Advocate for user privacy throughout the organization, consulting engineering teams throughout the software development lifecycle and escalating potential privacy concerns Write well-crafted, well-tested, readable, and maintainable code Participate in code reviews to ensure code quality

pythonjavasql
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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: The Unified Data Store (UDS) team is the architect of Airbnb’s global system-of-record. We design, build, and operate the mission-critical storage platform that powers every user profile, listing, reservation, and financial transaction on the platform. Supporting over 150 million users worldwide, our work is the bedrock of Airbnb’s reliability and efficiency. As a Staff Engineer in our Brazil Engineering Hub , you will join a high-impact group of technical leaders who value craft and operational excellence. You won't just be managing data; you will be building a modern distributed infrastructure service that enables hundreds of product teams to ship features with total confidence. The Difference You Will Make: We are looking for a hands-on technical leader who thrives on solving deep architectural challenges and leading through ambiguity. As a Staff Engineer, you will serve as the Technical North Star for the UDS Client Stack, ensuring our data access layer is seamless, high-performance, and future-proof. A Typical Day: Define Technical Strategy: Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. Architect for Scale: Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. Drive Engineering Excellence: Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. Empower Developers: Act as a bridge between infrastructure and

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 $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, dat

awsmachine learningai
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S
Stripe
📍 San Francisco• Full-time
1mo ago

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 The API Platform team is responsible for empowering teams to build highly reliable and performant services, backing our payment systems, fraud detection, and a multitude of other products. As an infrastructure team, you will build and expand the service frameworks to make complex systems easy to use, resilient, and scalable. We build powerful interfaces for engineers that depend on these systems—deployment, load balancers, web framework, databases, Kafka, and Kubernetes—while keeping them highly available and performant. We're looking for engineering leaders who drive the technical vision of Stripe's service infrastructure platform for thousands of engineers to use and build on top of, and thrive in a highly autonomous environment with many moving pieces. What you’ll do You will join as a Technical Lead for one of the most impactful teams at Stripe. You will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance service-oriented architecture (SOA) adoption at Stripe. By collaborating with the team's technical leaders, you will ensure the software your team builds meets the needs of Stripe and its customers. We are a highly effective team that consistently delivers high-impact results while genuinely caring for one another. We expect you to bring your curiosity and critical thinking skills to this challenging domain. We are looking for individuals with a strong background in designing and deliverin

pythonjavakubernetes
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S
1mo ago

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 $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting opportunities to innovate in ML Platform at Stripe. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible, and user-friendly systems that substantially increase ML velocity across the company. What you'll do You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with other technical staff, dat

awsmachine learningai
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S
1mo ago

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 Link helps Stripe's merchants deliver frictionless and secure checkout experiences by auto-filling customers' payment information, letting customers check out in seconds and pay in one click across the Link merchant network. The Link Balance team is building on top of that network to transform Link from a one-click checkout into a global consumer financial platform. Link Balance lets consumers hold, spend, earn rewards on, and off-ramp digital dollars—stored as stablecoins, powered by Bridge and Privy, and distributed through Stripe's network of hundreds of millions of consumers. We're bringing the borderless, programmable, and instant utility of digital dollars into everyday use. What you'll do We’re hiring a Staff Software Engineer to lead the design and delivery of new money-movement capabilities in Link. You will take ambiguous product opportunities and turn them into reliable, scalable, and intuitive experiences for consumers and merchants. This is a hands-on individual-contributor role with broad technical and organizational scope. You will own large, cross-functional projects from early product and technical definition through launch and iteration; lead teams of engineers through complex execution; and partner closely with the many Stripe systems and teams that make money movement possible. You will work across the stack, building services and APIs as well as the user experiences that expose those capabilities. The work may involve mo

typescriptjavagit
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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 The Service Infrastructure team is responsible for empowering teams to build highly reliable and performant services, backing our payment systems, fraud detection, and a multitude of other products. As an infrastructure team, you will build and expand the service frameworks to make complex systems easy to use, resilient, and scalable. We build powerful interfaces for engineers that depend on these systems—deployment, load balancers, web framework, databases, Kafka, and Kubernetes—while keeping them highly available and performant. We're looking for engineering leaders who drive the technical vision of Stripe's service infrastructure platform for thousands of engineers to use and build on top of, and thrive in a highly autonomous environment with many moving pieces. What you’ll do You will join as a Technical Lead for one of the most impactful teams at Stripe. You will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance service-oriented architecture (SOA) adoption at Stripe. By collaborating with the team's technical leaders, you will ensure the software your team builds meets the needs of Stripe and its customers. We are a highly effective team that consistently delivers high-impact results while genuinely caring for one another. We expect you to bring your curiosity and critical thinking skills to this challenging domain. We are looking for individuals with a strong background in designing and

pythonjavakubernetes
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S
1mo ago

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 We are experts in business data, building the canonical data foundation that powers decision-making across Finance & Strategy, Business Data Science, GTM, and Marketing. We engineer scalable and efficient data pipelines and provide curated data products that give Stripe's teams a consistent, accurate, and fresh view of the business—from the top to the bottom of the funnel. We work side by side with partner teams—AI, Data Science, and Business Systems—to deliver high-quality data assets that power growth motions, product performance tracking, and go-to-market metrics reporting. We invest in data quality, data engineering automation, and operational excellence to minimize issues and maintain the trust our customers place in the products we build. What you’ll do We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Partner with our recruiting team to attract and hire top talent Deliver cutting-edge data

javasqlaws
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