Engineering Team Lead Jobs

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role: We are looking for a Senior Software Engineer - Data Platform to help build and evolve the data platform that powers critical business decisions and customer-facing experiences. You will own significant parts of our data architecture that is main powerhouse of DevRev Computer’s memory for accurate and efficient Answers. As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data requirements into reliable, high-quality data products. This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization . You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team. What you'll do: Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost. Design, build, and operate scalable data pipelines and data systems that reliably ingest

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 a rapidly growing company that's revolutionizing how the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. We're looking for an engineer to help build and scale Toast's earnings platform — systems that calculate tips and employee earnings for restaurant locations across Toast's network. You'll work on highly visible, mission-critical infrastructure that powers Tips Manager, one of Toast's growing products, while laying the groundwork for a broader earnings calculation platform that will determine paychecks for employees everywhere Toast operates. In this role, you'll gain hands-on experience with event-driven systems built on Kotlin, gRPC, Apache Pulsar, and DynamoDB. We're building a new source of truth for employee earnings — from real-time tip pooling and redistribution to wage calculation and earnings retrieval — and we care deeply about getting the math right: our systems directly influence what employees take home. If you're excited to build calculation infrastructure where correctness and scale matter in equal measure, and where the work has a real impact on product revenue and employee livelihoods, we'd love to hear from you. About this roll*: As a Software Engineer on our team, you will: Help shape our tip and earnings calculation platform — building the systems that determine how restaurant employees are paid, starting with Tips Manager and expanding toward a full earnings sou

The Team + The Role Our Engineering Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users. Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers. Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready. Full-stack delivery: Contribute across the stack when needed to g

The Team + The Role Our Engineering Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Sr. Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and ship applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, from prototype through production. You will make principled technical decisions, evaluate model behavior rigorously, and communicate tradeoffs clearly to engineers and non-engineers alike. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI systems including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure it can hold up in real customer environments. Technical decision-making: Make principled decisions on when to prompt, when to fine-tune, and when to use a different tool entirely. You will explain these tradeoffs clearly so the team can move quickly without sacrificing quality. Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and catching hallucinations early. You will implement guardrails that can withstand real-world load and production use. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will help ensure AI systems are observable, efficient, and dependable in production. Full-stack product shipping: Contribute across the stack when needed because this team ships products, not just mod

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

About The Team The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you! About The Role: Site Reliability Engineers at Rubrik are systems/software engineers who ensure that Rubrik's infrastructure services run smoothly and have the capacity for future growth. What you’ll do: Ensure we maintain high availability and durability of our databases Establish best practices for internal teams to write performant SQL queries Perform periodic database upgrades minimizing downtime for our customers Design, implement and maintain relational database systems for performance and reliability Manage and run backend systems like Kubernetes, MySQL and everything in between Drive reliability, availability and efficiency improvements to Rubrik's Polaris Cloud Platform Good mix of software and system engineering skills Participate on-call rotations across continents, using a follow-the-sun model Write and review code, plan and execute upgrades, develop documentation and capacity plans, and debug production issues Work cross-functionally with various engineering teams Build monitoring tools and automation to increase efficiency of all teams Good written and verbal communication skills Drive FedRamp Certification process Good written and verbal communication ski

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work, creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Our team builds Groove, a platform that helps thousands of employees plan, coordinate, and deliver work across Spotify. From initiative tracking to dependency management and collaborative planning, Groove helps teams stay aligned and execute with confidence. We're a small, cross-functional engineering team focused on building thoughtful tools that reduce friction and help people do their best work. We move quickly, learn from user feedback, and continuously improve the experiences we build. What You'll Do: Build and evolve Groove, a fullstack platform that supports planning, collaboration, and execution across Spotify. Design and deliver features including initiative tracking, planning workflows, and dependency management. Work across the stack using React, TypeScript, Java, GraphQL, PostgreSQL, and Google Kubernetes Engine (GKE) to build end-to-end solutions. Partner closely with product managers and designers to understand user needs and create intuitive, effective experiences. Ensure reliability through testing, monitoring, and continuous improvement in production. Participate in an on-call rotation and help respond to production incidents when needed. Improve the

About the Team At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology. We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next. About the Role This role is part of the Security Architecture & Engineering team and focuses on embedding security into systems, platforms, products, and infrastructure by design. The role provides security architecture consultancy to technical and business stakeholders, helping teams make pragmatic, risk-based security decisions while supporting business objectives. It is responsible for identifying architectural security risks, design flaws, and security gaps across new initiatives, infrastructure changes, cloud adoption, platform services, and business-critical systems. In addition, the role contributes to building reusable reference security architectures, design principles, and assessment frameworks aligned with regulatory and industry frameworks such as NIST, ISO, PCI DSS, GDPR, and KVKK. The role also drives process improvement and automation initiatives to improve the scalability, consistency, and maturity of security architecture practices across the organization.

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for product-focused iOS Engineers who love building reliable, intuitive, and beautiful experiences on mobile. We aren’t just developing an app; we’re building a mobile ecosystem from the ground up that integrates the consumers, merchants and drivers. This is a full-stack role where you’ll not only build complex apps but will also make impactful decisions on the product. You're excited about this opportunity because you will... Work within our product teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and s

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent Prior experience (2+ years industry experience) working with backend tech stacks Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of