Partner Engineer Jobs

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About the Role We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. Key Responsibilities Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs al

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Mid to Senior Software Engineer to help drive our transformation from legacy, on-premises software to a modern, cloud-native platform. In this role you will play a key part in designing and building our next-generation scalable data pipelines to ingest, transform, and load data from diverse sources. You'll be joining Defense Unicorns’ US Navy team and be responsible for creating and owning end-to-end project delivery, and advocating best practices in database usage and system architecture. You will work closely with other software engineers, platform engineers, end users, and external stakeholders. Responsibilities: Partner with data architects, analysts, and a wide variety of stakeholders to translate ambiguous product requirements into technical solutions Design, build, and maintain complex ETL/ELT workflows Implement security protocols, including authentication and authorization, Create optimized transformations to clean, enrich, and model data, utilizing cloud-native tools Ensure data quality, integrity, and compliance, maintaining metadata and lineage Help refactor and modernize existing on-prem systems into distributed, cloud-based services Contribute to the design of authentication, identity management, and RBAC/ABAC frameworks Participate in architectural discussions, code reviews, and ongoing technical improvements Drive best practices in microservice design, testing, observability, and CI/CD automation Collaborate closely with partner company engineers and stakeholders to devise the best solutions for our Mission Heroes Collaborate with the Defense Unicorns product team sharing improvements and growth opportunities for future projects Comfortable in an asynchronous, all remote environment Actively participate in communities of practice via Slack and Github Issues Integrate soft

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Senior Alliance Solutions Engineer Opportunity Okta believes in Partners and, together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market. Partner Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement. As a Partner Solutions Engineer at Okta, you will have an opportunity to be a well-respected technical expert, building strong, long standing relationships with key Partners and Global System Integrators, supporting both global and India markets. You will become your partners’ trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes. *This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment. What you’ll be doing Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies. Develop domain expertise and tho

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 Join our Everpure FlashBlade engineering team in Prague to build backend services that power our high-performance, distributed storage platform. Your mission is to take ownership of production systems that drive reliability, scalability, and seamless orchestration for global customers. You will solve complex distributed-systems challenges and collaborate with cross-functional engineering teams across Prague and the US. This role empowers you to shape core architecture and directly impact the Everpure Platform's developer experience in a fast-paced environment. WHAT YOU’LL DO Design and architect scalable backend services and platform components to enhance orchestration and resiliency across the Everpure Platform. Develop and maintain distributed systems capable of operating flawlessly under high concurrency, scale, and failure scenarios to maximize customer reliability. Create clean, stable APIs and evolve service interfaces that provide a seamless developer experience and ensure long-term system maintainability. Partner with engineering and product teams across global offices to drive infrastructure projects from initial design through production support and quality improvement. WHAT YOU BRING Proven expertise in software engineering fundamentals, specifically designing, building, and deploying backend or system-level components in production environments. Proficiency in Python, Go, or another object-oriented pro

As a Principal Software Engineer, you will set the technical direction for NVIDIA's global Developer Compute platform. The platform covers AI agent sandboxes and virtual desktop infrastructure. You will architect and build the services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure. These environments serve both AI agents and the people who work alongside them. You will partner with engineering, IT, and security leaders across NVIDIA to turn AI and end-user workflows into reliable, high-performance platform capabilities. This role is for a hands-on technical leader who wants to define how agents and people get compute at the frontier of AI! What you will be doing: Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment. Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions. Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for both GPU-accelerated and general-purpose workloads. Collaborating with engineering, IT, and security leaders within NVIDIA to translate AI workflow and end-user compute requirements into a multi-year platform roadmap. What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, o

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Snowflake Snowflake is building the AI Data Cloud, enabling organizations around the world to mobilize data and develop applications at global scale. The Engineering Systems organization builds the tools, infrastructure, and platforms that help Snowflake engineers develop, test, and deliver high-quality software efficiently. The Continuous Integration team is responsible for the systems that power builds, tests, validation, and developer workflows across Snowflake's engineering organization. As a Software Engineer on this team, you will help build reliable, scalable CI services that support thousands of engineers and a rapidly growing multi-cloud codebase. Responsibilities Design, develop, test, and operate distributed systems that power Snowflake's continuous integration platform. Build services and tooling that improve build reliability, test execution, developer productivity, and software delivery velocity. Contribute to the architecture and implementation of scalable CI infrastructure across cloud environments. Develop reliable APIs, services, and automation using languages such as Java, C++, Python, or Go. Investigate and resolve issues involving build failures, test infrastructure, performance, reliability, and developer workflows. Partner with engineers across

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid). You’re excited about this opportunity because you will… Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We’re excited about you because you have… 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring an

As an AI Security Engineer , you will work at the intersection of software engineering, cybersecurity, and artificial intelligence. You will design and build security tools, assess AI-powered applications for vulnerabilities, evaluate third-party and open-source AI technologies, and help establish secure development standards for AI systems. This is a hands-on engineering role for someone who enjoys building solutions, solving complex technical problems, and exploring emerging security risks across technologies such as Generative AI, RAG, and agentic systems. What You'll Do Design, build, and implement tools for AI security testing, penetration testing, red teaming, and continuous vulnerability assessment. Develop mock and test AI applications to evaluate internal and third-party AI security solutions. Identify and assess security risks within AI-enabled applications and workflows. Develop security requirements, standards, and best practices for securely building and deploying AI applications. Evaluate third-party vendors, open-source tools, libraries, and AI technologies from a security perspective. Integrate security testing and evaluation capabilities into CI/CD pipelines and development workflows. Build scalable security tooling and automation that can be adopted across different teams and environments. Troubleshoot applications and solve complex engineering and security problems. Partner with engineering teams, security professionals, customers, vendors, and business stakeholders to understand requirements and deliver practical solutions. Create clear technical documentation covering tools, features, security assessments, testing methodologies, and findings. What You'll Bring 5+ years of software development experience building and supporting production applications. Strong hands-on programming experience with Python. Experience working with RESTful APIs and structured data formats such as JSON, XML, CSV, and HTML. Experience with CI/CD pipelines and mod

About the Team The Merchant Knowledge Platform team, part of DoorDash’s Merchant organization, builds the systems that serve merchant, store, menu, and catalog data to experiences across DoorDash, Wolt, and Deliveroo. Our platform connects merchant information to the experiences people rely on every day, from discovering stores and searching for products to placing orders. We’re building the next generation of this global platform to support growing data volumes, new product capabilities, and AI-powered experiences. Our team brings together experienced technical leads and engineers early in their careers, with a shared commitment to engineering excellence and learning. About the Role We’re looking for an Engineering Manager to lead a team of talented engineers building and operating a platform at the core of our global marketplace. You’ll own the team’s technical direction and roadmap, working closely with engineers on architecture and design decisions while supporting their growth. You’ll partner with teams across the company to understand their needs, set priorities, and build shared capabilities that make merchant data reliable and efficient to access at scale. You must be located in the New York Metro Area for this hybrid position. You’re excited about this opportunity because you will… Shape the technical vision and roadmap for a global merchant data platform that supports consumer and merchant experiences across three companies. Guide the design of distributed systems that serve large volumes of data with high availability, low latency, and consistent performance. Partner with engineering, product, and business teams to turn shared needs into reusable platform capabilities and make clear decisions about priorities and tradeoffs. Support, coach, and develop a team of engineers with a range of experience, helping them grow their technical skills and ownership. Improve platform reliability and engineering practices while helping the team use AI tools to lea

Build quality into every product and help shape the future of AI-powered software. As a quality engineer at Gallup, you'll help deliver software our clients can trust by partnering with product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of the software development life cycle. Rather than simply executing test cases, you'll apply systems thinking to identify risks, develop thoughtful validation strategies and help ensure every release delivers an exceptional customer experience. As Gallup continues to expand its AI-powered products, you'll also have opportunities to contribute to testing intelligent workflows and emerging AI capabilities. What You’ll Do Develop a deep understanding of product features, customer workflows, system interactions, APIs, data flows, integrations and technical dependencies to identify quality risks and determine the most effective validation strategy Collaborate within Gallup's Product Operating Model alongside product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of product development Design, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows Develop and maintain automated test suites using Playwright or comparable modern automation frameworks Perform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development Troubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage Create and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy Support production validation and investigate customer-reported issues when needed Continuously improve quality engineering practices, autom

CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP. The Impact You’ll Have Observability Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. Build reliable, observable automation for debugging and incident mitigation. Reliability Improve service reliability, scalability, security, and operational efficiency. Develop dependable, safe, mitigations for production issues. On-Call & Incident Response Participate in a follow-the-sun on-call rotation and lead incident response and mitigation. Perform root-cause analysis, identify and implement lasting corrective actions. Partner with Product Engineering, Security, Support, and other infrastructure teams on follow up actions. What We Look For Experience 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field. Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing. Experience with PostgreSQL, or related managed databases or distributed systems. Experience in incident management and participating in on-call rotations for critical infrastructure. Skillset A mindset focused on automation, root-cause resolution, and continuous improvement. Strong programming skill

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Build and evolve user-facing iOS experiences that help people discover, consume, create, and engage with content and communities. Lead projects through the full development lifecycle, from product definition and technical design to implementation, experimentation, launch, and ongoing improvement. Partner with product, design, data science, ML, backend, and platform teams to shape strategy, translate technical capabilities into intuitive experiences, and delive