Lead Software Engineer Application Platform Jobs

Position Overview: We are looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products. As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production-grade solutions. What You'll Do Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways) Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi-step reasoning Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and implement quality benchmarks Debug and resolve complex production issues across traditional and AI systems Required Qualifications Tech Stack Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 5+ years professional development with proven track record of delivering complex systems Strong Node.js and JavaScript/TypeScript expertise Advanced React and frontend architecture skills Extensive AWS architecture experience Expert PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices, distributed systems, and

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The mission of the Release Engineering team is “to empower Toasters to build and deploy software with speed, confidence, and joy.” We create digital assembly lines that transform code into polished products. We build scalable, secure, and automated release pipelines that turbocharge our software delivery and ensure compliance and reliability from first commit to production deployment. We are looking for a software engineer to join in our mission! A day in the life (Responsibilities) Be part of a team working collaboratively to optimize build and deployment automation tools for developers Create and implement CI/CD solutions that ensure release quality and security Lead complex projects with multiple contributors and stakeholders Participate in team on-call rotation to respond to production alerts for the team’s systems Mentor and coach other team members Promote technical excellence What you'll need to thrive (Requirements) 5+ years of software engineering experience Proficiency in Go, Java/Kotlin or other modern language(s) with a strong understanding of testing, quality and best practices Ability to dive into a breadth of problems in various programming languages Passion for improving the software delivery process and making developers happy Hunger for leveraging AI tools efficiently for our team and our customers Agile mindset focused on delivering usable software Special Sauce* Experience with managing AWS/Cloud infrastructure Experience building CI/CD solutions Our Tech Stack A core of Java/Kotlin and Golang based backend services GitHub Actions workflow platform and custom actions written in TypeScript PostgresQL and DynamoDB as core persistence Backstage developer portal Deep AWS integrations and componentry Claude Code and similar AI development tools

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Senior Software Engineer to establish our Observability framework and foundations. You will join us to accelerate building and scaling our innovative systems that support our growing identity platform. You will drive on Observability best practices to find and fix gaps in our observability and our overall systems. You will also lead practices such as load testing, capacity planning, game days, chaos testing, and incident post-mortems. What You Will Do: Embed within the Engineering pillar to deeply understand the product and implement observability across all key flows Facilitate and build load testing cases, ensuring we understand the limits and scaling factors of our services and systems Contribute to observability and support the design of new services and systems, ensuring highly reliable and scalable concepts are implemented Build and lead practices such as game days, chaos engineering, and failure analysis Build long-term capacity plans, with an eye toward reliability and cost-efficiency Who You Are: 6+ experience writing production-grade software in a modern language, such as Java and Python. Strong knowledge of distributed systems concepts (think CAP theorem), microservices architecture, and distributed tracing . Experience with modern observability systems such as Datadog. Experience with performance debugging tools and patterns. You should be able to read a flame graph. A strong product and user-centric mindset. Desire to continuously improve systems and environments. A demonstrated history of owning c

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. Job Summary nCino is looking for a Senior Software Engineer to join our Global Banking Solutions engineering group, where you will help build the products financial institutions rely on to serve their consumer and business customers. You will lead development work across the full software lifecycle, contribute to architectural decisions, uphold code quality standards, and mentor teammates along the way. This is a role for an engineer who wants real ownership over technical direction and the opportunity to influence both what gets built and how the broader engineering organization builds it. The ideal candidate brings strong full stack experience, a track record of delivering in complex environments, and the communication skills to work effectively across engineering, product, and design. You think carefully about scalability and maintainability, thrive in cross functional delivery, and are energized by work that has a direct impact on how financial institutions serve their communities across nCino's global banking product lines. This role is a hybrid on-site position at our Global Headquarters in Wilmington, NC. Responsibilities Provide input on architectural decisions and guide team members around best practices. Incorporate the automated tests into applicable tickets and mentors other members of the team on automation strategies. Lead brainstorming sessions and propose innovative ideas and solutions. Identify opportunities & lead proof-of-concepts to demonstrate key functionality or validate critical technical aspects. Begin to consider scalability, maintainability, and best practices as the high-level design of the solution takes shape. Identify potential risks and provide mitigation strategies. Help choose technologies and tools used for the project.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes. You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring. A day in the life (Responsibilities) Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines. 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient. Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code. Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy. Deliver Quality: Ensure the reliability

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 Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams. Define technical roadmaps for complex, multi-quarter projects that span multiple teams. Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience. Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools. Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization. Partner with engineering teams across the company to understand documentation needs and design integrated solutions. Design, build and maintain scalable, reliable and performant services and systems. Contribute high-quality code across the full stack and navigate codebases with different languages and tools. Debug and resolve complex production issues and improve system reliability. Take ownership of system health and incident response. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering. Must have four (4) years of experience in each of the following: - Working in a full stack environment with a foc

Senior Software Engineer, Product Frameworks The Product Frameworks team’s goal is to make product engineers and AI agents more effective building software with Asana's product frameworks. We’re looking for a Senior Software Engineer to modernize our custom, home-built frameworks and lead them toward industry-standard, open-source best practices. Your work will empower our product engineering organization to build and ship with high velocity within an evolving multithreaded agentic world. You will identify friction points in our proprietary systems and architect new approaches that are easier, safer, and AI-native. You will use AI to work more effectively and build the foundation for both product engineers and AI agents working with our frameworks. This role is based in our New York City office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What You’ll Achieve Modernize and iterate on Asana’s custom, home-built frameworks to align with modern industry standards. Leverage AI agents to speed up migrating from Asana’s legacy systems to modern open-source frameworks. Partner with product engineering teams to identify opportunities to speed up development at Asana, and adopt modern best practices across Asana's monorepo. Support product engineering teams through office hours and presentations on our frameworks. About You 5+ years of experience in software engineering, or equivalent practical experience. Comfortable transitioning between different areas of a large codebase. Interested in using AI agents to migrate legacy systems to open source best practices. A collaborative approach to accelerating development cycles through agentic workflows (ex: Claude Code, Cursor). You value learning so

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 Urban Solutions powers the bike-sharing and scooter-sharing systems that move millions of people in over 60 cities worldwide. We built North America's first automated bike-share system and continue to lead the micromobility revolution. Our systems operate globally - from Citi Bike in New York to BIXI in Montreal, Divvy in Chicago, Capital Bikeshare in DC, and iconic systems in Austin, Barcelona, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubai, London, Madrid, Mexico City, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto, and beyond. We're not just technology providers - we operate these systems, building the software, hardware, and operations that make urban micromobility work at scale. Ready to shape how millions of people move through their cities every day? We're looking for an Android Software Engineer to join the Rider Experience team within Lyft Urban Solutions. Your work will directly power the digital experiences behind our bike-share and scooter-share platforms. You'll build the backend systems that make membership programs, rider features, and real-time experiences feel seamless and fast. We're moving quickly on this hire; the team has ambitious goals for 2026 and needs strong engineers who are ready to ship. Our engineers are sharp, pragmatic problem-solvers who move fast and deploy to production continuously. Responsibilities: Engineering & Delivery Design, develop, deploy, monitor, operate, and maintain elements of our Rider experience, owning components end to end Write reliable, performant, and maintainable code, with comprehensive test coverage Reduce technical debt and contribute to ongoing improvements in tooling and code structure Analyze internal systems and processes to identify opportunities for improvement and automation Participate in code r

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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

We’re looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. What you'll be doing: You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s). Define product, technical vision and architecture Develop platform s

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. 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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

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 Staff Software Engineer on the Automation - Foundations team, you will lead the re-platforming of the data layer underneath Vanta’s entire compliance product. This is a migration that spans multiple teams, has to preserve every public API contract along the way, and cannot lose a single customer’s evidence while it happens. Foundations is Vanta’s data platform team. We ingest security and compliance data from across our customer’s environments, currently tens of thousands of resources per second, with single-customer bursts running into the millions. We store the data, catalog it, make it queryable, and turn it into evidence that has to survive a real SOC 2 or FedRAMP audit. We are in the middle of moving our platform from a Mongo-centric architecture to a schema-aware, Postgres-backed architecture, on a Kafka and S3 pipeline that decouples data fetching from processing. Both pipelines run in parallel today, the hard problems here are correctness under migration, eventual consistency, and multi-tenancy, in a domain where “mostly right” is not an acceptable failure mode. Visit our Vanta Engineering Blog to learn more about what our team is working on. What you'll do as a Staff Software Engineer at Vanta: Lead the migration of Vanta’s resource data model from a Mongo-centric solution to a schema-aware Postgres-backed solution and running both generations in parallel without breaking a customer integration. Drive solutions across teams that you do not own but are dependent on the platform built by your team. Design for correctness under eventual consistency with idempotent session handling, conditional writes that survive out

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 Staff Software Engineer on the Automation - Foundations team, you will lead the re-platforming of the data layer underneath Vanta’s entire compliance product. This is a migration that spans multiple teams, has to preserve every public API contract along the way, and cannot lose a single customer’s evidence while it happens. Foundations is Vanta’s data platform team. We ingest security and compliance data from across our customer’s environments, currently tens of thousands of resources per second, with single-customer bursts running into the millions. We store the data, catalog it, make it queryable, and turn it into evidence that has to survive a real SOC 2 or FedRAMP audit. We are in the middle of moving our platform from a Mongo-centric architecture to a schema-aware, Postgres-backed architecture, on a Kafka and S3 pipeline that decouples data fetching from processing. Both pipelines run in parallel today, the hard problems here are correctness under migration, eventual consistency, and multi-tenancy, in a domain where “mostly right” is not an acceptable failure mode. Visit our Vanta Engineering Blog to learn more about what our team is working on. What you'll do as a Staff Software Engineer at Vanta: Lead the migration of Vanta’s resource data model from a Mongo-centric solution to a schema-aware Postgres-backed solution and running both generations in parallel without breaking a customer integration. Drive solutions across teams that you do not own but are dependent on the platform built by your team. Design for correctness under eventual consistency with idempotent session handling, conditional writes that survive out

As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. What you’ll do here Set technical direction across Coder’s agent harness, integrations, and workflows. Design and build production systems in Go, with work across React and TypeScript where needed. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Lead complex projects from early ambiguity through production. Raise the engineering bar through design reviews, code reviews, and technical mentorship. Partner with Product and Design on clear, useful agent experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Deep experience building and operating production software systems. Strong hands-on experience with Go. Experience with React and TypeScript. Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS. A track record of setting technical direction without formal authority. Strong architectural judgment and comfort working through ambiguity. Someone who makes the engineers around them better. Our tech stack Backend: Go, Postgres Frontend: TypeScript, React Infrastructure: AWS, Kubernetes Observability: Prometheus, Grafana CI/CD: GitHub Actions Bonus tacos if you have (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) Experience building coding agents, developer tools, or cloud development environm

About The Role & Team The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Senior Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Experiment, Guides, and Surveys rely on. As a Senior Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliability, and raising the bar for developer experience across Amplitude’s mobile ecosystem. As a Senior Software Engineer, you will: Lead the technical direction, architecture, and long-term evolution of Amplitude’s iOS SDK platform. Own and drive development of core iOS SDKs, including Analytics and Session Replay, with a strong focus on performance, reliability, and ease of use. Act as the iOS platform expert and trusted partner for other SDK teams (Experiment, Guides & Surveys), enabling them to build on shared foundations safely and efficiently. Design and evolve shared infrastructure, APIs, and abstractions that scale across multiple iOS SDKs. Collaborate closely with Product, and Customer Support to ensure SDKs meet real customer needs. Lead cross-team technical discussions, reviews, and architectural decisions that span multiple SDKs. Improve developer experience through better APIs, documentation, tooling, testing strategies, and sample apps. You'll be a great addition to the team if you have: A strong focus on developer experience and empathy for the engineers who use your work