Senior Systems Engineer Product Platform Tools Jobs

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Security Engineering is the engineering function inside the Plaid security org that focuses on developing the industry-leading security systems and infrastructure. Security Engineering owns most of Plaid’s security-related infrastructure: secure data storage, key management systems, internal identity platform, internal authentication systems, internal permission management, and internal authorization service. We develop solutions across data encryption, key management, access control, and data loss prevention to protect sensitive consumer data. We believe in the Zero Trust security model and are always looking for ways to improve our authentication and access control platforms. About the role: You will develop security capabilities to secure Plaid infrastructure and sensitive data access. You will lead the team’s strategic planning in collaboration with the manager and other senior engineers. You will own, maintain, and build Plaid’s security infrastructure and services like IAM Gateway, Key Management System and Network Firewall. You will consult with product engineers to ensure Plaid services meet security standards. You will help educate and support other engineering teams to improve security in

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t

Engineer 3, Business Systems (CPQ) We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About Team The CRM Technologies Team plays a critical role in optimizing our sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce and Quote-to-Cash technologies, the team ensures that business users have the tools, automation, and operational support needed to effectively manage quoting, pricing, approvals, and downstream business processes. With deep expertise in Salesforce development, CPQ, integrations, and platform operations, the team continuously enhances the CRM ecosystem to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Finance, Deal Desk, and Engineering to deliver scalable, secure, and reliable Quote-to-Cash solutions. Role Overview We are looking for a CPQ Engineer III to design, build, and support core capabilities in our Configure–Price–Quote (CPQ) stack that power how our GTM teams sell and price MongoDB offerings. As a senior individual contributor, you will own end-to-end delivery of features across configuration, pricing, discounting, approvals, and quote generation, working closely with Product, Deal Strategy, RevOps, and Sales. You will translate business requirements into high-quality technical solutions on Salesforce CPQ and related platforms, spanning configuration, custom development (Apex/LWC/Flows), and integrations with downstream systems. This role is hands-on and delivery-focused: you will be responsible for implementing well-structured, testable solutions, improving performance and reliability of existing CPQ flows, and contributing to shared patterns, frameworks, and best practices within the CPQ & RevOps engineering team. What you’ll do Design, build, and support Salesforce solutions across product modeling, pricing, quoting, approvals, amendments, and renewa

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are seeking a Senior Software Engineer (Warsaw, Poland) with expertise in Java and frontend technologies to join our Identity and Authentication team. In this full-stack role, you will build and maintain the systems and interfaces that authenticate users and enable self-service product configuration. You will leverage Addepar’s enterprise identity platform to create responsive, frictionless user journeys. These range from the “front door” of our products (such as login and MFA) to the administrative tools our customers use to configure experiences for their internal teams and end-clients. Collaborating closely with product, design, and engineering partners, you will ensure our identity and authentication capabilities meet our clients' complex regional, compliance, and privacy needs. Ultimately, you will build the next generation of features that prepare Addepar for the demands of modern, AI-driven users. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Author, in Java APIs and web UIs, user and customer configuration tools which expose the capabilities of Addepar’s identity platform. Migrate Ad

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams' capability to design, build and operate robust systems at scale. Pinterest's applications and infrastructure handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Senior Production Engineer on Solutions Engineering, you will design and build AI agents, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems serving hundreds of millions of monthly active users, handling hundreds of thousands of requests per second, and managing tens of petabytes of data. You'll lead infrastructure modernization initiatives, build intelligent automation that eliminates operational toil and amplifies engineer

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. A majority of our users interact with our products in languages other than English, and our products must work seamlessly across languages, regions, and cultures. The Internationalization team builds the infrastructure that enables OpenAI products to ship globally by default. We develop the systems that power localization, international product launches, and high-quality global user experiences across all OpenAI products. About the Role As a Senior Software Engineer on the Internationalization team, you will build the systems that power localization and international product launches at OpenAI. You’ll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer platforms, and product infrastructure. In this role, you will Build and scale OpenAI’s localization, content, and experimentation platform used across OpenAI product teams, including open-source components: Develop AI-powered translation pipelines combined with human-in-the-loop review workflows. Design systems that reliably deliver localized product content across web and mobile apps. Build tools that enable linguists and localization teams to review and improve translations. Develop developer tooling that simplifies localization and internationalization workflows. Build and maintain internationalization libraries used across OpenAI products: Design systems that correctly handle numbers, currencies, dates, and pluralization across locales. Improve support for multilingual interfaces and right-to-left languages. Partner with product teams to improve the international readiness of new features. You might thrive in this role if you Have strong software engineering experience building backend or full-stack systems. Have familiarity with Java, React, MySQL, and cloud infrastructure p

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The Mission As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution . You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy. Key Responsibilities The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future. Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star." Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns. AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelli

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 as Code. Collab

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

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

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role The Hyderabad Infra team builds and maintains Notion's internal async task runner and configuration management platform. The async task runner plays a critical role in ensuring our millions of users have a fast, reliable, and secure experience. The configuration management platform enables safe, explicit configuration management for Notion's product and infrastructure engineers. As part of the Hyderabad Infra Team, you’ll have a unique opportunity to shape how Notion manages and scales its async task runner and configuration management platform, enabling innovation across the company. What You'll Achieve You will contribute to the evolution and maintenance of our async task runner to meet the needs of over 100 million global users and support the rapid growth of our product and business. With guidance from senior team members, you'll help ensure our systems remain reliable, efficient, and scalable. You'll evaluate and integrate new technologies to keep us ahead of emerging challenges. Your work will empower our engineering team to build features confidently while you grow your skills in distributed systems and infrastr

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 Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev