Integration Engineer Jobs

Eulerity is a fast-growing marketing technology company transforming how franchises and small businesses approach digital advertising. Built by former leaders from Google, Facebook, and Yahoo!, our platform combines decades of experience in engineering and marketing to deliver an industry-leading, automated solution. We make it easy to plan, launch, and analyze paid campaigns across Google Search, Meta (Facebook/Instagram), Display, Video, and organic social - all from one intuitive platform. We believe breakthrough results happen when technology, strategy, and creativity come together. By combining automation with human insight, we empower brands to scale smarter, move faster, and grow stronger. Internally, we're just as committed to growth. We cultivate a culture where ambitious, curious, and driven individuals are empowered to lead, learn, and elevate those around them. Your Role Designing, building, and shipping developer-facing SDKs consumed by other engineers. Owning the SDK as a product: the public API surface, TypeScript types, semantic versioning, packaging/distribution, backwards compatibility, and documentation. Building and maintaining AI-powered automation workflows that connect our product to internal and external systems. Developing and testing new features using AI-assisted tooling and autonomous agents, maintaining the codebase, integrating with APIs and data models, and owning the PR lifecycle (writing, reviewing, and incorporating feedback). Collaborating across web, mobile, and backend teams to align on best practices, shared architecture, and product direction. Partnering with Product and Design to translate designs and prototypes into shipped solutions for our users and the engineers who build on our SDK. About You SDK/library builder. You design clean, intuitive, hard-to-misuse APIs and think about the developer on the other side of your interface. AI-first engineer. You've set up custom automation workflows (e.g., wiring Claude or similar LLM

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 The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 4+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap

Lead Design and Analysis Engineer (Electrical Systems Design) Company: The Boeing Company Boeing is currently hiring for a Lead Design and Analysis Engineer located in Berkeley, MO to be a part of the MQ-25 Electrical and Equipment Installation team. The MQ-25 Stingray is a new autonomous, unmanned carrier based refueling air vehicle. The selected candidate will be a part of aviation history by helping our Navy customer productization Autonomous Carrier landing, takeoff and refueling capabilities. The MQ-25 program is currently building the Engineering and Manufacturing Development (EMD) vehicles for the Navy. Additional work is under way for the beginning of the Low Rate Initial Production (LRIP) program for additional vehicles. The MQ-25 Electrical & Equipment team is responsible for the power architecture & design, electrical equipment technical management, electrical installation design, wire harness design, and integrating avionics and other equipment into the vehicle. This role will be focused on the power architecture & design. Position Responsibilities: Leads work with customers to develop and document complex electronic and electrical system requirements. Leads and coordinates work to analyze and translate requirements into system architecture, hardware and software designs and interface specifications. Leads work to test and validate to ensure system designs meet operational and functional requirements. Researches technology advances for potential application to company business needs. Makes recommendations for technology investments. This position is expected to be 100% onsite. The selected candidate will be require

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Location: You can choose to work at Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, Portugal, or Spain. ➡️ Mission Join us as an Android Engineer and help us build the mobile experience that 600,000+ European businesses rely on every day to manage their finances. You'll own product-critical features end-to-end — from technical design to rollout — in a large, modular Kotlin codebase where craft and velocity both matter. You'll work closely with Product, Design, Backend, and Frontend. ➡️ What you'll do Own features end-to-end: You'll take ownership from discovery and technical design through implementation, rollout, and iteration on features that help businesses pay, get paid, and stay in control. Drive techn

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Location: You can choose to work at Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, Portugal, or Spain. ➡️ Mission Join us as an Android Engineer and help us build the mobile experience that 600,000+ European businesses rely on every day to manage their finances. You'll own product-critical features end-to-end — from technical design to rollout — in a large, modular Kotlin codebase where craft and velocity both matter. You'll work closely with Product, Design, Backend, and Frontend. ➡️ What you'll do Own features end-to-end: You'll take ownership from discovery and technical design through implementation, rollout, and iteration on features that help businesses pay, get paid, and stay in control. Drive techn

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE 1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments. Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale. As a Java Engineer, you will design and deliver core platform capabilities that help organizations discover, classify, and protect sensitive data across complex environments. You will work on highly scalable backend systems, collaborating with engineering, product, and customer-facing teams to solve challenging technical problems where performance, resilience, and precision matter. WHAT YOU'LL DO Design and build software that discovers, classifies, and safeguards sensitive data across diverse environments and platforms. Lead the design, implementation, testing, deployment, and continuous improvement of platform capabilities. Develop reliable, scalable, and high-performing backend systems designed for complex, real-world operating environments. Extend platform capabilities by integrating new data sources, storage systems, and services. Solve engineering challenges related to scale, concurrency, perf

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

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 join our Network Engineering team to accelerate building and scaling our innovative systems that support our growing identity platform. In this role, you will build the next-generation infrastructure that underpins all systems at CLEAR. The ideal candidate for this role will approach challenges with an eye toward reliability, simplicity, and scalability. What You'll Do: Develop and maintain a streamlined process for engineers to effortlessly build and deploy scalable and reliable software-defined networking solutions on AWS. Enhance our compute platform (Kubernetes) by integrating new functionalities and features, focusing on AWS networking services and concepts such as VPCs, Route Tables, Security Groups (SGs), ALBs/ELBs, and Route53, as well as implementing Kubernetes networking solutions like service mesh (Istio) to optimize service communication and management. Collaborate across engineering teams to advocate for and implement best practices in observability, utilizing tools like Splunk or Datadog to ensure robust network monitoring. Act as a product owner for our infrastructure, collecting feedback and requirements from engineering teams to address pain points and develop solutions, particularly in the realm of AWS networking and cloud-native design principles. What you're great at: 6+ years of extensive experience in infrastructure and platform development, particularly in software-defined networking and AWS cloud services. Proficient in writing production-grade softwar

About the Team At DoorDash, we’re reimagining how people connect with the things they need — whether it’s a meal, a grocery run, and anything in between. Our audiences — Consumers, Dashers, and Merchants — are at the heart of everything the Design org builds. Our content design team plays a big part in this, with each content designer shaping the experience and bringing our vision to life through clear, thoughtful language that makes our three-sided marketplace easier, faster, and more human. About the Role We’re looking for a full stack UX Design Engineer to be the technical backbone of our global Content Design org and leader who builds the platforms, tooling, and ML systems that make world-class, localized product content effortless across DoorDash, Wolt, and Deliveroo. You’ll work at the intersection of design and engineering to build content tooling and embed LLM-driven workflows into product experiences. You’ll accelerate content design AI tooling so that CD’s can focus on the highest leverage strategic work, while your tools enable product designers and cross functional partners to ship high-quality content faster across DoorDash, Wolt, and Deliveroo. You're excited about this opportunity because... Design and build internal content tools that: Help PMs and designers generate, manage, localize, and deploy product content at scale. Plug custom GPTs and other LLMs into everyday product workflows for content iteration and improvements. Own full-stack development of these tools: Build and maintain frontend experiences using React and modern JavaScript/TypeScript. Design and implement backend services and APIs (e.g., Kotlin/Java) to support content tooling, experimentation, and automation. Integrate tooling with experimentation and infra: Embed content tools into A/B testing platforms so teams can test and ship variants with minimal engineering dependency. Build pipelines from variant generation → experiment → automated deployment of winners. Operationalize

Overview: The role is responsible for managing and supporting the operations of Global Network Engineering in a hybrid/cloud environment and provides senior-level expertise to the network engineering team. We're looking for an expert in on-premises networking, cloud infrastructure networking (Azure/AWS), and telecommunications (VOIP) in global environments, with knowledge and focus on zero-trust networking methodologies. This position requires off-hours on-call availability. This is a remote position with a 3 PM - 12 AM Shift. Candidates may need to visit the Mumbai office as and when needed in the general shift. What You'll Do: Manage physical network management and support covering Guidepoint offices, including, but not limited to, firewalls, routers, switches, etc. Responsible for managing the Enterprise WiFi Operations ZScaler Network management Monitor global traffic latency, issues, and application performance Update and design next-generation network models Network detection and response Intrusion detection and prevention technologies Azure Cloud Traffic integrating with On-prem traffic Azure Web Security CASB models and methodologies What You Have: 8+ years of experience with core networking in an enterprise environment, ideally global network design and security methodologies. 5+ years of working experience with advanced Azure cloud networking technologies. Must have substantial experience with managing WiFi Operations. CCNP Certified or equivalent experience 3+ years of hands-on experience, preferably with Sonic-wall/Netgear. Solid engineering knowledge of routing, switching (VLANs), Azure networking, firewalls, and traffic management. Update network security based on VNETs and Subnets, with traffic monitoring, etc. Knowledgeable in Azure Application Gateways, Front Door, and other security tools. Nice to have: Must know telecommunication technologies (VOIP, SIP Trunking, Microsoft Teams) Network security experience (vulnerability manage

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Requirements Tech / BE in Computer Science, Engineering, or a related field. 6+ years of professional software development experience with a strong focus on frontend development. Strong hands-on experience with js (Vue 3) . Strong proficiency in TypeScript and modern JavaScript (ES6+) . Proficient in HTML5, CSS3 , and responsive web development. Experience with state management libraries such as Pinia, Vuex . Experience integrating and consuming REST APIs . Good understanding of UI/UX principles , frontend architecture, and web performance optimization. Familiarity with component-based design and reusable UI development. Strong problem-solving skills with the ability to troubleshoot and resolve complex frontend issues. Experience with Git and modern development workflows. Self-motivated, well-organized, and a strong team player in a globally distributed setup. Excellent written and verbal communication skills. Preferred Skills Micro-frontend experience Experience with frontend testing frameworks such as Vitest, J

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. Work with machine learning engineers to implement reinforcement learning models. Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. Help inform the mechanical and electrical design to maximize capability and flexibility. Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot