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Staff Mobile Engineer Jobs

3,414 active opportunities · Updated for October 2026

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Explore current staff mobile engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Coinbase
📍 - USA• Full-time• Remote• From $207.5K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Market Data Engineer on the Markets team, you'll architect, build and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency - the ticker plant and distribution backbone of a unified trading platform - while leading a lean, high-impact team. It's a rare chance to architect market data infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity. Design low-latency, high-throughput systems for real-time market data used by trading systems. Contribute to reliability and performance, participating in observability, on-call, and incident response. Write high-quality, well-tested code and help raise the quality bar on a lean team. Partner with engineers, product, and cross-functional stakeholders to deliver market data capabilities. Required skills and experience: 5+ years of backend engineering, with experience building and maintaining production low-latency systems. Hands-on experience with market data syst

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C
Coinbase
📍 - USA• Full-time• Remote• From $218K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role: Coinbase is building the future of institutional trading as part of the Institutional Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As an Infrastructure Lead on the Exchange team, you'll own the infrastructure, deployment, and operational tooling behind a unified trading platform that runs across cloud and on-prem/colocated venues, keeping latency-sensitive, multi-node trading environments fast, reliable, and easy to build on. It's a rare chance to shape trading infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Own infrastructure, deployment, and operational tooling for latency-sensitive, multi-node trading environments across cloud and on-prem. Drive reliability and developer velocity, owning observability, deploy safety, and incident response for systems that run 24/7. Set the operational bar through standards, reviews, and automation, and reduce single-point-of-failure risk across the trading stack. Partner with engineers building the trading platform to make latency-sensitive systems operable and performant. Mentor engineers and build team resilience across a lean, high-impact environment. Partner cross-functionally with Product, Institutional Markets, and SRE to turn platform needs into a

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Nextdoor
📍 Us Remote• Full-time• Remote• $170K – $250K/yr
1mo ago

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Product Manager on the Search team, you'll take on one of the most consequential rebuilds at Nextdoor. Search is the most explicit statement of intent a neighbor makes on the platform, and most searches aren't commercial at all: a lost-pet post, a neighbor's name, a school thread from last week, and sometimes a plumber. Search has been under-resourced for years and it shows. That changes now, with executive sponsorship, dedicated investment, and a blank sheet. You'll own the rebuild end to end, organic and monetized search together, from the quality of every result to how sponsored content earns its place on the page. We're looking for a search expert who has done this before: someone who has owned consumer search, made it measurably better for users, and defined the relevance and quality metrics to prove it. You'll need real commercial literacy too. You've worked shoulder to shoulder with the ads and monetization side, built genuine empathy for why the business needs to extract value from search, and you know firsthand how sponsored content, ad load, and paid-organic blending actually behave. You know that great search monetization makes results better, not worse, and you've seen engagement and revenue grow together when both sides pull in the same direction. This is a multi-year rebuild rather than a tuning exercise, and you won't do it alone: dedicated data science partners, ML engineers with search backgrounds, and design coverage are committed to the team. Ideally, you've also built beyond search and

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Robinhood
📍 Menlo Park, NY; Washington• Full-time
1mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role Robinhood's Money team is building the next generation of banking and spending products for all Americans. Our team members drive never-before-seen products and features from concept to launch to hyperscale. As a Product Manager, you will play a central role in shaping the future of our core banking product and the broader platform that powers it. You'll help define the systems, capabilities, and product foundations that enable new banking experiences, while partnering cross-functionally to bring products from concept through launch and scale. This role is based in our Menlo Park, CA, New York, NY, and Washington, DC offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead a team of engineers, designers, researchers, data scientists, and operators to better understand customers and their most pressing needs Establishing a product vision and shared set of priorities across the team and the company, which meet the most important needs of our customers Collaborate with cross functional stakeholders such as legal, compliance, operations, finance, and customer success to ensure products are built the right way Drive execution from concept through launch, including defining success metrics and iterating based on results What you bring Bachelor’s, Master's, or equivalent experience At least 5 years of direct product management experience building high-quality c

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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... This role is for a Staff Technical Program Manager within GoDaddy’s engineering organization, focused on building scalable, fault-tolerant systems that power critical customer and platform experiences at massive scale. GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success! What you'll get to do... As a Staff Technical Program Manager, you will be at the forefront of our project management efforts. You will coordinate the seamless delivery of technical programs, ensuring our projects are successfully implemented and meet the highest standards. Your role is pivotal in driving our mission forward by: Leading and coordinating multiple workstreams across product engineering, legal, and enterprise customer commitments. Owning the program layer of cloud environment security efforts, including control rollout, remediation SLAs, and audit readiness. Building mechanisms for seamless execution such as product-style intake, prioritization frameworks, and launch readiness reviews. Partnering closely with product management, build, and engineering leadership to ensure successful project launches and smooth deprecation of prior tooling. Holding your own in architecture reviews, build docum

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Okta
📍 Australia; Sydney, Australia• Full-time
1mo ago

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 Identity Team Okta's internal Identity team secures the foundational trust layer for our modern enterprise. As organizations adopt phishing-resistant MFA, attackers have shifted toward session hijacking and cookie theft. Furthermore, with the rise of autonomous AI workloads, we are extending our platform to protect and govern a growing sprawl of non-human, agentic workflows. Our mission is to ensure every person and machine can safely connect to the right technology at the right time. About the Role As a Staff Engineer at Okta, you will be a technical authority within our internal IAM team, driving the architecture and execution of our identity fabric. You will champion our "Customer Zero" philosophy, partnering with product engineering to deploy Okta's newest features internally before they reach global markets. This role requires a technical leader who acts with ownership and urgency, turning action into traction and ruthlessly simplifying complex problems. You will serve as a mentor, influence architectural decisions, and help determine the future of the platform. Must be a U.S. citizen and will be working within the U.S. boundary to meet requirements of the FedRAMP compliance for Level 2. Here is the complete, consolidated job description tailored for the Staff Engineer level. What You’ll Be Doing (Responsibilities) Drive Customer Zero Execution: Act as a key technical bridge between internal stakeholders, the Okta on Okta team, and core Produ

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Okta
📍 India• Full-time
1mo ago

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. Job Overview: We are looking for a highly experienced Staff Engineer to join the FGA DevEx team and lead the evolution of our end to end developer experience across both OSS and SaaS. This team owns the SDKs in Go, JavaScript, .NET, Python, Java and other languages, along with CLI workflows, IDE integrations, GitHub automation, developer documentation, and release strategy. All development is done in the open as open source, and we actively welcome and review community contributions. Our guiding principle is One developer experience, many deployment models. As a Staff Engineer, you will define technical direction, ensure cross language consistency, influence API design in partnership with FGA Core, and raise the quality bar across all developer facing tooling. Responsibilities: Define and drive the technical direction for FGA DevEx , CLI, IDE integrations, and developer automation across OSS and SaaS. Lead architectural decisions for multi language SDKs in Go, JavaScript, .NET, Python, and Java, leveraging and evolving the SDK generator that forms the core of all clients. Own and evolve the SDK generator framework, templates, and wrapper patterns to ensure cross language consistency, configurability, and long term maintainability. Establish standards across SDKs for authentication flows such as client credentials, error mapping and handling, retry logic with appropriate rate limiting strategies, and method level configuration overrides. Ensure advanced SDK

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Okta
📍 Poland• Full-time
1mo ago

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. Okta is The World’s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebratea a variety of perspectives and experiences. We are not looking for someone who checks every single box—we’re looking for lifelong learners and people who can make us better with their unique experiences. We are seeking an independent Staff Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. What you'll be doing Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities. Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions. Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features. Lead the design and delivery of complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability. Develop and refine prompt e

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Pinterest
📍 United States• Full-time• Remote• From $189.3K/yr
1mo ago

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 . About the Team: Hundreds of 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. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development to power the platform. Labs works across a broad variety of AI/ML initiatives, including LLMs/VLM, agent design, core computer vision, multimodal representation learning, visual generative modeling, recommender systems, graph learning, and more. This is the group that develops the foundation AI models that fully leverage the hundreds of billions of Pins and the associated knowledge graphs, and ships new product capabilities to fully utilize these technologies. We are curre

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Pinterest
📍 United States• Full-time• Remote• From $145.7K/yr
1mo ago

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 Platforms TPM organization partners with Experimentation, ML, LLM/GenAI, and Data Infrastructure teams to shape how Pinterest measures everything that matters — from product experiments to AI systems to the platforms everyone builds on. What you'll do: As a Staff Technical Program Manager for Measurement, you'll have the rare opportunity to shape how a company the size of Pinterest measures itself — turning a portfolio spanning experimentation, machine learning, generative AI, and data infrastructure into one coherent, high-impact program. Drive Pinterest's experimentation roadmap — accelerating how confidently and quickly teams can test, learn, and ship new ideas at scale. Own the program driving cost and compute efficiency across our ML systems, and help scale data science workflows into production-grade tooling. Lead cost optimization and

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1mo ago

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. The Cortex team is building the future of AI for enterprise data. This role focuses on the Search infrastructure that powers our flagship products like CoWork, Cortex Code & Cortex Agents fast, reliable, scalable and secure at the enterprise level. You will be building high-performance retrieval engines (leveraging vector search, hybrid search, and semantic indexing) that power Snowflake Cortex. This involves optimizing how billions of rows of data are indexed and retrieved in milliseconds. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant mi

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