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Staff Detection Engineer Jobs

7,423 active opportunities · Updated for October 2026

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Breeze
📍 Singapore• Full-time
12mo ago

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview We’re hiring a Staff Software Engineer to help build and scale the technology at the heart of Breeze’s payments platform. You’ll take on some of our most complex engineering challenges, building secure, reliable systems that move money while helping shape what we build and how we build it. You’ll work across the stack, own critical systems end to end, and partner closely with Product and Design to turn complex payments problems into simple, scalable solutions. This is a hands-on Staff role with real ownership and technical influence. You’ll help set architectural direction, raise the engineering bar, guide technical decisions across the team, and build the systems and foundations Breeze needs for its next stage of growth. If you’re a strong technical builder who wants to build, not just maintain, solve hard problems, and have a meaningful impact on both our product and engineering culture, we’d love to meet you. What You’ll Do: Build and scale the systems that power Breeze, with a focus on reliability, security, and performance across our payments platform Own critical system

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12mo ago

This role is part of our Prerender team, one of our growing brands at saas.group. For nearly a decade, Prerender has empowered marketers to create dynamic, complex sites at scale, making their JavaScript websites easily indexable by search engines. We eliminate indexing and crawling limitations, allowing our customers to gain the upper-hand on HTML sites and rank higher on SERPs. More than 100,000 websites around the globe trust Prerender to serve more than 2.7 billion web pages to crawlers to improve organic search ranking. Profile Overview As a Staff Engineer at Prerender , you amplify effectiveness across teams, systems, and practices. You’re deeply hands-on, but your biggest impact comes from enabling others to move faster, safer, and with greater confidence. You lead major architectural evolutions, coach engineers in XP principles, and help teams make sound technical decisions that scale across the organization. This role combines strategic thinking with practical execution; you’ll shape the technical direction of our distributed rendering platform, align teams on shared goals, and create the conditions for consistent, high-quality delivery. If you’re motivated by simplifying complexity, raising the bar for technical excellence, and empowering others to do their best work, you’ll thrive here. 🚀 What You’ll Do Lead by doing: Contribute to core systems while modeling high standards in code quality, testing, and design. Guide architectural evolution: Drive cross-team initiatives that move our systems toward simplicity, scalability, and testability. Coach and mentor: Support engineers at all levels through pairing, design reviews, and hands-on coaching in XP practices. Simplify complexity: Design elegant solutions to deep technical challenges in performance, reliability, and distributed rendering. Unblock and empower: Spot risks early, resolve systemic bottlenecks, and establish good defaults that let teams move quickly and confidently. Champion sustainable

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Okta
📍 Bengaluru• Full-time
19mo 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’s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate software security engineer to join a team focused on designing and developing Security solutions to harden our frameworks & infrastructure. We embrace innovation and pave the way to transform bright ideas into excellent security software solutions that help run large-scale, mission-critical software. We encourage you to prescribe defense-in-depth measures, industry security standards, enforce the principle of least privilege to help take our Security posture to the next level. Our Security engineering team has a niche skill-set that combines Security domain expertise with the ability to design, implement and rollout security features and functionalities without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product. This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction. You will focus on engineering security and privacy aspects of the systems used across our services while working on a weekly release cadence. You will be empowered to propose stimulating new

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Forma.ai
📍 Toronto• Full-time
24mo ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you’ll be doing Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences. You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring

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About Team The IT SaaS Engineering Team is the backbone of MongoDB's go-to-market operations. We build and run the Salesforce platform — with the automation, security, and governance that Sales Operations, Revenue Operations, Security, and Compliance rely on daily to manage customer relationships and drive business growth. Role Overview We're hiring a Staff Salesforce Engineer to own the architecture, design, and evolution of our CRM platform. This role combines deep technical leadership, hands-on solution design, and a modern engineering mindset that embraces AI-powered development responsibly. As a senior individual contributor, this person sets technical direction and raises the engineering bar through architecture, design, and mentorship. What You'll do Lead architecture, design, and development of scalable Salesforce solutions — custom applications, automations, and integrations Translate business requirements into secure, maintainable, technical solutions aligned with long-term platform strategy Partner with business stakeholders, product teams, and engineering to refine requirements and deliver high-quality solutions Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design Drive platform optimization across performance, scalability, usability, and governance Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management Troubleshoot complex production issues and drive long-term, scalable resolutions Identify tech debt and drive modernization efforts across the Salesforce ecosystem Leverage AI-powered engineering tools (Apex Guru, GitHub Copilot, Salesforce Agentforce Vibes, Claude Code) to improve productivity and code quality — with strong judgment on security, privacy, and accuracy. Responsibilities Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices Act as a subject matter expe

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5 days 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 . We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace. What you’ll do: Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion. Design and build large-scale DNN models to improve user action prediction with low latency. Mine text, visual, and user signals to better understand intention and infer interests from online activity. Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality. Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle. Coach and mentor engineers whi

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DoorDash USA
📍 San Francisco• $203.5K – $299.3K/yr
8 days ago

About the Team The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability. Our mission is to improve fulfillment quality while reducing fulfillment cost. We do this by applying machine learning, optimization, and systems engineering to the core decisions behind assignment, routing, batching, timing, and fulfillment estimation. The team works on some of DoorDash’s most important logistics systems, including: The core assignment engine that matches deliveries with Dashers in real time. Real-time ETA and fulfillment estimation systems for consumers, Dashers, and merchants across diverse geographies and all business lines. Assignment and planning algorithms for specialized delivery types, including grocery, retail, parcel, and catering. ML models and optimization algorithms that shape demand, improve service quality, and reduce cost. Tier-0 logistics services that require high reliability, low latency, and strong operational discipline. The team also builds reusable ML systems and modeling patterns that scale across DoorDash’s logistics ecosystem. This role will help define the technical direction and best practices for logistics ML at DoorDash. About the Role We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that drive real-time decisioning across DoorDash’s fulfillment ecosystem. You will start by owning ML systems for assignment and fulfillment estimation, partnering closely with Product, Data Science, Engineering, and Platform teams to improve delivery quality, cost, and efficiency. Over time, you may also contribute to adjacent areas such as batching, fulfillment execution, demand shaping, and logistics optimization across DoorDash’s business lines. This is

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10 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary · Designs, develops, and implements digital solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. · Leverages expertise to design and implement efficient and scalable solutions that meet business requirements and quality standards. · Contributes to solution design and architecture discussions, collaborating with architects and senior engineers. · Provides input on technical feasibility, performance optimization, and scalability considerations to ensure that the overall solution meets the desired objectives. · Participates in code reviews a

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17 days ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. As a Lead, PCVD Equipment, you will lead a team of equipment engineers responsible for improving manufacturing capability through equipment performance, yield improvement, throughput optimization, and quality excellence. You will set strategic direction, develop team capabilities, and collaborate with manufacturing, facilities, technology development, and global partners to achieve business objectives. This is a great opportunity to influence fab performance at scale while building a high-performing engineering organization. Responsibilities: Lead and develop a team of equipment engineers to achieve manufacturing, quality, output, and cost objectives Define team strategy, establish performance goals, and allocate resources to support business priorities Drive equipment optimization initiatives to enhance yield, throughput, and operational efficiency <

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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Principal/Staff Engineer, Process Integration, NTI NAND at Micron, you will have the outstanding opportunity to work on groundbreaking 3D NAND technology. This technology will develop the future of data storage solutions. This role suits those who are ambitious, enjoy solving complex problems, and want to lead innovative projects that push the boundaries of what is possible. Responsibilities Module Ownership: Lead one or more process modules related to the development and operation of 3D NAND semiconductor coordinated circuits. Specification Definition: Define structural specifications and process requirements for assigned modules. Strategic Direction: Set a clear direction and vision for the module and establish a continual improvement plan. Proactive Issue Resolution: Identify potential structure, electrical, and reliability issues early and address them with process control. Solve problems using a model-based approach. Performance Optimization: Focus on structural development, electrical performance, parametric verification, and process control. Optimize manufacturability assessments. Material Innovation: Analyze materials physically and electrically. Collaborate with process groups to select new materials for development and tran

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Snowflake
📍 Texas• Full-time• Remote• $146K – $192.1K/yr
21 days 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. Snowflake Support is committed to providing world-class solutions that inspire customer confidence and ensure business continuity. The DSE is a trusted technical partner to our Priority Support customers with a strong AI-first mindset, customer management skills & technical acumen. The role will lead the drive to reinvent and transform Priority Support into a deeply engaged, proactive offering that delivers high value throughout the customer’s post-go-live journey. The DSE role blends deep technical expertise with account engagement and service delivery. The DSE provides hands-on engagement to bridge complex business problems with Snowflake’s technology solutions. The DSE partners with the customer and internal Snowflake teams to drive quick resolution of reported issues, with a focus on future case deflection and WAF principles that ultimately strengthen customer trust in Snowflake. AS A DESIGNATED SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL IMPACT AND CONTRIBUTE TO THE SUCCESS OF OUR CUSTOMERS: Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. Deep understanding of the customer's product integration architecture and workloads. Design, revi

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AI
22 days ago

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role We're looking for a Staff Software Engineer who owns technical direction, thrives in ambiguity, and uses AI as a natural part of how they build software. You won't just write code — you'll make decisions that shape systems for years, mentor engineers across teams, and drive the engineering bar higher across the organization. This team designs and operates large-scale systems that ingest, process, and enrich diverse content like filings, transcripts, news, research, and more. In this role, you will build and own backend services and high-throughput data pipelines that turn raw content into structured, searchable intelligence. As a Staff Engineer, you'll operate at the intersection of technical depth and organizational influence — turning ambiguous business problems into executable technical strategies, and shipping them end-to-end. What You

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Snowflake
📍 Menlo Park• Full-time• Remote• $200K – $270K/yr
27 days 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. As a Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2–4 engineers while staying deeply technical yourself . You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success. Note: This is a customer facing role & require frequent travelling within USA mostly IN THIS ROLE AT SNOWFLAKE, YOU WILL: Lead Customer Programs : Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes for the projects you lead. Own AI Quality : Define what "good" means for each engagement. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Set the standard for how the team measures and improves AI systems in pr

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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model. This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices. Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery. What you'll be doing: Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap. Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials. Build re

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Block
📍 United States of America, United States
29 days ago

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem—including Cash App, Square, and other business units. We are dedicated to advancing the state of intelligent, automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents, our team builds high-impact, scalable systems that improve support quality, efficiency, and accessibility. We're building the future of support at Block: one powered by AI, voice interfaces, and smart automation. We're looking for candidates with a passion for intelligent systems, practical ML experience, and a desire to build product-driven solutions. Our ideal candidate is a leader in the field, with a proven track record of building ML systems that can accelerate our ability to scale our conversational AI initiatives. You Will Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long term ML roadmaps, informed by domain expertise and industry trends Guide the team’s direction, identifying new ML/AI opportunities and advising leadership on strategic trade

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