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. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it. Our team is called the Cloud Provisioning team, the core underpinning of what makes Snowflake work across multiple cloud providers. We are creating an abstraction layer between each of our cloud providers and the rest of Snowflake that is optimized for Snowflake's unique needs. We balance usability, cognitive load, performance, and cost for the rest of Snowflake. We are actively hiring talented distributed systems developers. This role is a unique opportunity to make a signifi
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Senior Data Engineer, Proprietary Research London A Career with Point72's Market Intelligence team On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools. Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products. Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements WHAT’S REQUIRED 5+ years of experience in Data Engineering, Software Engineering or related field 2+ years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/ focus on backend infra
About Clutch Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee. Named one of Canada's Top Growing Companies two years in a row and awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca. About the role At Clutch, we believe advances in AI are fundamentally changing how great products are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of months. As a Senior Data Engineer, you'll own the data platform that powers decision-making across Clutch, from how we buy and price vehicles, to how customers move through our funnel, to how we deliver and finance cars. The pipelines, models, and infrastructure you build will be the foundation our analysts and data scientists rely on every day, including for our fast-growing financial services work. Our data engineers don't just move data, they own outcomes. That means working directly with stakeholders to understand what they need, designing systems that scale with the business, and making sure the data behind every important decision is reliable, well-modeled, and easy to use. If you see a broken pipeline or a question the data can't answer yet and feel compelled to fix it, you'll thrive at Clutch. Technology at Clutch We believe great engineers can learn great technology. Our data team builds with technologies like Snowflake, dbt, Airflow, Python, and
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Technical Marketing Engineer (TME) to join our team. This is a Remote role, reporting to the Director, Technical Marketing Engineer in the Product Management department. We are seeking a hands-on, self-starting Technical Marketing Engineer (TME) with deep networking expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch solutions. In this high-impact role, you will architect and maintain complex lab environments, lead hands-on Proof of Value (PoV) customer engagements, and provide technical troubleshooting to resolve escalations. As the bridge between engineering and field teams, you will author comprehensive deployment guides, technical collateral, and test plans while delivering interactive training to systems engineers and partners. This is an ideal position for a practitioner who thrives on solving real-world enterprise networ
The MongoDB Product Security team is looking for a full-stack senior software engineer to help us build and scale the next generation of security practices, enabling hundreds of MongoDB engineers to build secure products for our customers. The Product Security team empowers product teams to build secure products for MongoDB customers by providing security enablement, such as AI-powered code analysis, threat modeling and security finding triaging and verification, fuzzing infrastructure, and finding management solutions. Our goal is to incorporate security early in product development at scale without introducing friction. With the emerging capabilities of AI models, we are proactively adopting our security practices to be prepared for the newly introduced challenges. This role can be based out of our Dublin or Cork office or remotely in the Ireland region. This role is expected to work with a distributed team that covers all time zones in the US. Key Responsibilities: As a software engineer on our team, you will help us develop and maintain security automations, such as: Deliver features for an automated code analysis platform Expand security findings triaging and verification platform to all products across MongoDB Automate finding management process to be self-serve for engineering teams Centralized security signal analytics platform to help teams focus on the most important security work Design and build tooling solutions to shift security practices left in SDLC Baseline Qualifications: 5+ years of experience of production-level software development with Python and TypeScript in a cloud environment Experience managing the end-to-end development lifecycle, including building, deploying and operating software at scale Experience in micro-services, Kubernetes, and containers Deep understanding of CI/CD systems, including linting, testing and various deployment strategies The ability to independently prioritize and execute tasks after alignment with the team and stak
We are seeking a Senior Engineering Manager to join our growing Bengaluru Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Engineering Manager on this new team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Expectations Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Take responsibility for the planning and execution of major features, raise delivery risks Own the monitoring, operations, and maintenance of the systems your team develops Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects Qualifications 10+ years of experience of building distributed systems, a
As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Melbourne for our hybrid working model. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 6+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Skilled in building business champions Fluent in English Ability to attend the office 3 days per week Driven and competitive. Possess a strong desire to be successful Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Things We Love Passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases,
Here's a summary of the role: Love solving complex integration challenges and building seamless connections between enterprise systems? As a Senior BSA - Integration & Business Applications Engineer at Diligent, you will design, build, maintain, and support scalable integration solutions connecting cloud and on-premises applications across the business. You will work with Boomi, Workato, AWS, APIs, and enterprise applications to automate business processes, improve data quality, and enable AI-driven innovation. You will collaborate with teams across Finance, Sales, People, Product, Engineering, Customer Success, and other functions to understand business needs and deliver secure, reliable, and supportable solutions. The role also includes structured Tier 1 support for Atlassian applications, including Jira, Jira Service Management, and Confluence, helping users resolve common issues, identifying recurring problems, and improving the operational experience of the platforms you support. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design, develop, deploy, and support enterprise integration solutions using Boomi, Workato, AWS, APIs, webhooks, and related technologies. Build secure, scalable APIs, data transformations, integration workflows, and transaction processes across platforms including Salesforce, NetSuite, Jira, Jira Service Management, Confluence, analytics platforms, and AWS-based applications. Apply integration patterns such as API-led integration, scheduled workflows, event-driven processing, file-based exchange, and transaction orchestration. Perform data mapping, validation, reconciliation, error handling, testing, monitoring, and post-release validation to ensure reliable and accurate data flows. Troubleshoot production integrations, diagnose root causes, optimize performance, participate in incident and problem management, and maintain runbooks and operational documentation. Provide structured Tier 1 support for Ji
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Machine Learning Engineer to join our team. This is a remote (USA) role, reporting to the Manager AI Platform and Data Science in the AI Platform and Data Science department. This team’s mission is high-fidelity risk identification in customer data, with goals to catch all threats while minimizing noise. To achieve this, you will develop solutions applying data analysis and threat-research while leveraging AI, machine learning, and data engineering to build quality, data-driven components to automate security analysis. What you’ll do (Role Expectations) Translate risk identification methods into agent logic, understanding the benefits and limitations of agents and ensuring quality across risk analysis, explanations, and recommendations Collaborate closely with threat-research to understand data, threats, and their approach to developing security heuristics Identify and solve data requi
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Machine Learning Engineer to join our team. This is a remote (USA) role, reporting to the Manager AI Platform and Data Science in the AI Platform and Data Science department. This team’s mission is high-fidelity risk identification in customer data. Our goals are to catch all threats while minimizing noise. To do this, you will develop solutions applying data analysis and threat-research, while using AI, machine learning, and data engineering to build quality, data-driven components to automate security analysis. What you’ll do (Role Expectations) Translate risk identification methods into agent logic, understanding the benefits and limitations of agents, and how to ensure quality in different types of tasks, including risk analysis, explanations, and recommendations Collaborate closely with threat-research to understand data and threats and their approach to developing security heuristics I
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. As a Senior/Staff ESSD Validation Engineer at Micron Technology, Inc., you will be responsible for validating Micron NAND-based SSD systems and solutions by developing test strategies, test plans, test cases, and automation frameworks that ensure industry-leading product quality and reliability. You will work closely with firmware, hardware, systems, product engineering, and customer teams to verify SSD functionality, performance, interoperability, and customer qualification requirements. The ideal candidate will possess strong knowledge of SSD architecture, NVMe/PCIe technologies, storage systems, and validation methodologies, along with a passion for automation and AI-enabled engineering practices. You will play a critical role in accelerating validation efficiency, improving product quality, and supporting customer success through innovative test solutions and data-driven decision-making. Key Responsibilities Define and execute validation test plans, test cases, and automation content for SSD firmware validation. Develop and maintain automated test scripts covering functional, system-level, performance, reliability, and customer qualification requirements. Validate SSD firmware against NVMe, PCIe, OCP Cloud SSD, and customer-specific specifications. Work closely with firmware, hardware, and system engineering teams to identify, debug, and resolve product issues. Analyze test results, identify product quality risks, and provide recommendations to st
About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. What you’ll do: Design, develop, and execute comprehensive manual and exploratory test cases covering functional, regression, integration, and end-to-end scenarios. Create and maintain detailed test plans, test cases, test scenarios, and test documentation based on application requirements and user workflows. Perform functional testing across web and/or mobile applications, identifying defects, usability issues, edge cases, and potential quality risks. Execute regression testing to validate existing functionality and ensure new changes do not negatively impact the product. Perform exploratory testing to identify unexpected behaviors and gaps that may not be covered by predefined test cases. Perform basic test automation activities and contribute to automated regression coverage as needed. Work with and maintain existing automated tests using tools such as Appium and Playwright. Demonstrate a working understanding of automation concepts, test execution, and troubleshooting without requiring deep automation framework development experience. Support API testing and validation, including verifying responses, data integrity, authentication, error handling, and negative scenarios. Analyze test failures, investigate defects, review logs and application behavior, and help identify
About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior QA Automation Engineer with solid hands-on experience in test automation, particularly with Appium and Playwright. The ideal candidate will focus primarily on designing, developing, and maintaining automated tests for mobile and web applications, while also contributing to manual and exploratory testing when needed. This role requires a solid technical foundation in automation, strong analytical and problem-solving skills, and the ability to identify quality risks and improve testing processes. We are looking for a self-driven professional who is eager to learn, collaborate with cross-functional teams, and explore how AI-powered tools can improve QA efficiency and effectiveness. What you’ll do Design, develop, execute, and maintain automated test suites for web and mobile applications, prioritizing reliability, reusability, maintainability, and test coverage. Develop and maintain mobile test automation using Appium, covering critical user journeys, functional scenarios, regression
Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Build Platform Team At Wealthsimple, the Build Platform team is on a mission to make developing great software fast, intuitive, and enjoyable. We believe engineers should focus on building incredible features for our clients, not fighting their environment. Our job is to clear the path. We do this by treating our platform as a product. Our internal developers are our customers, and their success is our primary measure of impact. As a Developer on our team, you won't just be building tools; you'll be shaping the entire developer journey at Wealthsimple. From their first day onboarding to their thousandth code submission, you'll be making the experience seamless. You will support a diverse engineering organization that uses Ruby, Python, Kotlin, and TypeScript to build the future of finance. Your work will directly empower hundreds of developers to ship high-quality, secure code to millions of users with confidence and speed. The most interesting problem on our plate right now is AI. When agents write a large share of the code, the bottleneck stops being how fast you can produce a change and starts being how fast you can trust one. That makes verification the constraint on the whole company: reproducible environments, test signal you can believe, and feedback loops tight enough that an agent catches its own mistakes before a human eve
Senior Software Engineer, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? As a Senior Backend Engineer on the Toast International team, you’ll play a pivotal role in engineering the platform that powers the next generation of guest reservations, dynamic floor management, and table operations across global markets like the UK, Europe, and Canada. You will lead the design and execution of core backend services—building scalable backend systems, robust integrations, data processing pipelines, and core platform capabilities. You’ll collaborate closely with engineering teams in North America and Europe, product managers, and designers to win high-value full-service restaurants worldwide. About this roll* (Responsibilities) Architect, implement, and scale distributed backend microservices (Java / Kotlin / AWS) powering reservations and guest management. Build core transactional and payment capabilities for the platform. Design robust integrations with third-party aggregators and partners and two-way POS synchronization. Implement tiering, entitlements, and usage metering services across freemium waitlists and premium subscription tiers. Partner cross-functionally with Mobile, Web/Frontend, Product Management, and UX to deliver seamless end-to-end features. Drive high standards of code quality, observability, test automation (unit, integration, and contract tests), and operational excellence. Mentor team members, participate in technical design reviews, and leverage modern AI development workflows to accelerate velocity and code quality. Do you have the right ingredients*? (Requirements) 5+ years of software engineering experience building scalable, distributed backend microservices in production. Deep proficiency in Java or Kot
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