Development Engineer 3 Jobs

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 Test Automation Intern at Lyft, you'll collaborate closely with industry-leading engineers while enjoying the freedom to innovate from day one. Your contributions will be pivotal in accelerating our product development and enhancing user trust and satisfaction through the creation of cutting-edge test automation tools. At Lyft, we cultivate a dynamic and collaborative office environment, where brilliant minds are always eager to hear and support your next big idea. What will yours be? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the quality of every Lyft Urban Solutions rider! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required) . For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Montreal Strong knowledge of CS fundamentals Excellent communication skills Passion for community, sustainability, and/or transportation Passion for quality and testing Ability to thrive in a startup environment Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Experience wit

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’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We're looking for a Solutions Engineering Manager to lead and grow our presales function in Austin. Reporting to our presales VP of Solutions Engineering, this is a founding leadership role where you'll help us establish the discipline from the ground up, shaping the playbook that drives your region's success while collaborating across the business to share best practices. As a Solutions Engineering Manager, you will have full ownership of your team's success; you'll be hiring and developing Solutions Engineers, while staying hands-on in the highest-impact deals in your market. You'll set the bar for how your team runs discovery, demos, Proofs of Concept, and technical evaluations. You'll regularly partner with Sales leadership, Product, Customer Success, and Product Marketing to connect your team's work to revenue outcomes. You'll own forecasting, performance, and the overall health of your market, collaborating with presales leadership on strategy and priorities. About the role: Recruitment and Development Hire, ramp, and develop a team of 5-10 Solutions Engineers (SEs)in your region, across experience levels, from mid-career to subject matter experts. Run regular 1:1s, deal reviews, and career development con

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We're looking for a Solutions Engineering Manager to lead and grow our presales function in NYC. Reporting to our presales VP of Solutions Engineering, this is a founding leadership role where you'll help us establish the discipline from the ground up, shaping the playbook that drives your region's success while collaborating across the business to share best practices. As a Solutions Engineering Manager, you will have full ownership of your team's success; you'll be hiring and developing Solutions Engineers, while staying hands-on in the highest-impact deals in your market. You'll set the bar for how your team runs discovery, demos, Proofs of Concept, and technical evaluations. You'll regularly partner with Sales leadership, Product, Customer Success, and Product Marketing to connect your team's work to revenue outcomes. You'll own forecasting, performance, and the overall health of your market, collaborating with presales leadership on strategy and priorities. About the role: Recruitment and Development Hire, ramp, and develop a team of 5-10 Solutions Engineers (SEs)in your region, across experience levels, from mid-career to subject matter experts. Run regular 1:1s, deal reviews, and career development conver

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

At Asana, security is foundational to our mission of helping teams work together effortlessly. Our Security organization protects Asana’s employees, users, and customers by proactively addressing threats, enabling secure product development, and embedding security into the fabric of how we operate. We partner closely with Engineering, Product, IT, Legal, and Compliance to build and maintain trust at scale. We are seeking a Director of Security Engineering to lead and grow our Security Engineering organization as Asana continues to grow globally. This role is pivotal in translating high-level security strategy into technical reality, ensuring our infrastructure is resilient by design and our internal security tooling is world-class. This is a leadership role with accountability for people management, technical mentorship, and the delivery of high-impact security initiatives across a complex, high-growth SaaS environment. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Build security by construction, design and default throughout all of Asana’s products and infrastructure. Accelerate the development lifecycle by building and owning frameworks, interfaces, services and libraries that solves security problems and frees other Asanas to focus. Be the voice of the customer in driving security features in our products and making those product features a differentiator for Asana. Lead and mentor a multi-disciplinary engineering team, fostering a culture of technical excellence, psychological safety, and high accountability. Own the security engineering roadmap, ensuring high-quality and high-ve

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. Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the team The Solutions Architecture team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical as

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. As a Site Reliability Engineer I on the Core Infrastructure team in our Atlanta office, you'll help build and operate the foundational infrastructure that powers PagerDuty's real-time digital operations platform. Our systems support millions of events and alerts daily, enabling customers to detect, respond to, and resolve incidents quickly and reliably. You'll work at the intersection of platform evolution and operational excellence, building and evolving foundational network, compute, and ingress infrastructure while scaling and hardening existing systems. Your work will directly impact the reliability, scalability, and security of the services our customers rely on to keep their businesses running as PagerDuty continues to grow across products, regions, and customer use cases. Key Responsibilities ● Support and improve foundational infrastructure, including networking, compute platforms, Kubernetes clusters, and ingress/traffic management systems. ● Contribute to the reliability and scalability of PagerDuty's core platform by hardening existing systems and supporting the rollout of new infrastructure

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. As a Site Reliability Engineer II on the Core Infrastructure team in our Atlanta office, you'll help build and operate the foundational infrastructure that powers PagerDuty's real-time digital operations platform. Our systems support millions of events and alerts daily, enabling customers to detect, respond to, and resolve incidents quickly and reliably. You'll work at the intersection of platform evolution and operational excellence, building and evolving foundational network, compute, and ingress infrastructure while scaling and hardening existing systems. Your work will directly impact the reliability, scalability, and security of the services our customers rely on to keep their businesses running as PagerDuty continues to grow across products, regions, and customer use cases. Key Responsibilities ● Support and improve foundational infrastructure, including networking, compute platforms, Kubernetes clusters, and ingress/traffic management systems. ● Contribute to the reliability and scalability of PagerDuty's core platform by hardening existing systems and supporting the rollout of new infrastructur

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings Join Our Team... GoDaddy’s Product Security team is looking for a Security Engineer who is passionate about helping build secure products and services used by millions of customers worldwide. In this role, you will work closely with engineering and platform teams to identify security risks, improve security practices, and help embed security throughout the software development lifecycle. You will have the opportunity to learn from experienced security professionals while contributing to initiatives that improve the security and resilience of our products, platforms, and cloud environments. The ideal candidate is curious, hands-on, eager to learn, takes ownership of their work, and excited to solve security challenges at scale! What you'll get to do... Identify, assess, and help remediate security risks across applications, infrastructure, cloud environments, and AI-enabled services Partner with engineering and platform teams to design, implement, and improve security controls throughout the software development lifecycle Conduct security reviews, threat modelling, and risk assessments to help build secure, resilient, and scalable systems Develop and enhance automation, tooling, and processes that strengthen security coverage, improve detection and response capabilities, and increase operational efficiency Investigate security findings, stay informed on emerging threats and technologies, and contribute to a culture of security awareness and continuous learning Your experience should include... 2+ yea

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

We are looking for an experienced Staff Software Engineer with a strong background in building software frameworks, LLM eval frameworks and team leadership. You will lead a talented team building a complex product suite using a modern stack. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging modernization validations problems, ensuring that new applications have the same functionality and performance as their legacy counterparts. This role will be based in our India office in Gurgaon and offers a hybrid working model. The ideal candidate for this role will have 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem and paired with strong Python experience 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results Solid experience in software architecture and development Familiarity with evaluation frameworks (such as DeepEval, Ragas, and Promptfoo) and harnesses, alongside benchmark datasets, scoring/grading approaches, and LLM-as-a-judge methodologies Experience in application/database modernization with proven ability to design and implement frameworks that ensure database state equivalence across different implementations Must understand change data capture, event-driven database interception (MongoDB listeners, RDBMS triggers), and state comparison algorithms with pattern-based exclusions Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB) Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and written comm

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

About the Team We’re hiring Software Engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Reliability Engineering, Observability, Developer Productivity or Cloud Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute needs, setting the technical strategy that supports cutting-edge research and product development. This is a critical role for someone who is passionate about solving complex engineering problems at scale, ensuring their performance, scalability and reliability Team Focus Areas Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build scalable, fault-tolerant systems and lead efforts around service health, incident response, and resilience. Observability: Design and maintain observability tooling (metrics, logs, tracing) to give teams visibility into production systems at scale. Developer Productivity: Create tools, environments, and workflows that help engineers ship high-quality software faster and more safely. Cloud Infrastructure: Own the cloud-native infrastructure (compute, networking, storage) that underpins all services and research workloads. Databases: Building high performance, distributed database systems that power all of OpenAI's product stack. In this