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. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - Present Snowflake technology and vision to executives and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands-on expertise with SQL,SQL analytics, and Python. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. - A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. - University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. - Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required ABOUT OUR TEAM: Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. Compensation range: $245,000-$275,000 Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - Present Snowflake technology and vision to executives and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands-on expertise with SQL,SQL analytics, and Python. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. - A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. - University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. - Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required ABOUT OUR TEAM: Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. Compensation range: $245,000-$275,000 Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should - Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles - Possess a customer-focused mindset, driving improvements that benefit end-users - Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) - Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs - Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment Expectations - Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services - Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity - Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426185 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $144,000—$200,000 CAD

Role Description As a QA Engineer at Quidax, you will be responsible for ensuring the quality, reliability, and stability of our products throughout the development lifecycle. You will work closely with engineers, product managers, and designers to validate requirements, test features of moderate complexity, and identify defects early. In this role, you will apply established QA practices, tools, and processes to execute manual and automated tests, perform API testing, and assess quality risks. You are expected to work independently on well-defined tasks, exercise sound judgement within existing procedures, and continue developing your technical and professional QA expertise while contributing consistently to high-quality releases. What You’ll Be Owning - Test Execution & Product Quality - First 90 days: - Get fully familiar with our product, architecture, and release cycles. - Design and execute test cases, plans, and scenarios for features. - Perform manual testing across web and/or mobile, including functional, regression and exploratory testing. - Identify quality risks, edge cases, and gaps in requirements. - Within 6 months: - Own end-to-end testing for features and releases with minimal supervision. - Consistently improve release confidence through solid test coverage. - Proactively surface risks early and influence better product decisions. - Test Automation & Efficiency (Cypress, Appium with Java) - First 90 days: - Contribute to automation by writing and maintaining automated test cases using Cypress for web and Appium (Java) for mobile. - Get familiar with existing automation frameworks, tools, and pipelines. - Within 6 - 12 months: - Increase automated test coverage by prioritising high-value scenarios. - Execute automated test suites, analyze failures, and work with engineers to resolve issues. - Contribute to improving automation standards and practices across the team. - API Testing & Defect Management (Postman) - First 90 days: - Perform API testing using Postman to validate backend services and integrations. - Identify, document, and track defects clearly. - Within 6 months: - Validate bug fixes and ensure issues are resolved before release. - Improve defect reporting quality and help reduce regressions. - Catch integration issues early before they impact our merchants. - Collaboration & QA Excellence - First 90 days: - Collaborate with engineers, product managers, and designers. - Participate in sprint ceremonies and contribute quality-focused input. - Within 6 - 12 months: - Provide clear, actionable feedback to improve product and team execution. - Proactively identify gaps in QA processes and help improve testing practices. Biggest Challenge You’ll Tackle - Shipping fast without breaking things - Building quality into a system that’s still evolving - Catching issues before users do - Growing automation in a real-world codebase - Making quality a team responsibility, not just yours - Testing across layers that don’t always behave nicely together Qualifications - 3+ years of experience as a Quality Assurance Engineer, with a track record of testing real products end to end, not just following test cases. - You think like a user and an engineer. You’re curious enough to explore edge cases, and technical enough to understand what’s happening under the hood. - You have hands-on experience with automation using tools like Cypress and Appium (Java), and you know when automation adds value. - You’ve worked with APIs and can confidently test them using tools like Postman, validating data, integrations, and failure scenarios. - You have experience working in an Agile/Scrum development environment, actively contributing to sprints, planning, and delivery. - You don’t wait for perfect requirements. You ask questions, challenge assumptions, and fill in the gaps to make sure quality doesn’t slip through. - You’re comfortable working in fast-moving teams where priorities shift, and you can still keep quality high without becoming a bottleneck. - You care about clarity. Whether it’s a bug report, a test case, or feedback in a sprint, your work helps others move faster, not slower. - You take ownership of quality. Not just finding bugs, but improving how the team builds, tests, and ships over time. Nice to have: - Familiarity with CI/CD pipelines and how automated tests fit into them. - Experience working in fintech, crypto, or other high-reliability environments. Reporting Line You’ll report to the QA Engineering Manager and work closely with engineers on a day-to-day basis to ensure features are built and shipped with quality in mind. You’ll collaborate regularly with Product Managers and Designers during planning and delivery, helping shape requirements, identify risks early, and improve overall product quality. You’ll be an active part of the engineering team’s sprint rituals and have a strong voice in quality-related decisions, from test coverage to release readiness. Benefits - Competitive salary based on your skills and experience; annual merit-based reviews to keep your growth visible and rewarded. - Annual performance reviews + clear promotion cycles; recognition for great work, from shoutouts to milestone rewards. - Personal development fund (courses, books, conferences); study leave so you can keep learning. - Fully remote forever + flexible working hours. - Unlimited paid time off + Nigerian national holidays. - Parental, sick, compassionate, and life event leave; we show up for you. - Quarterly remote team hangouts + annual offsite; interest-based communities (SIGs). - Regular engagement surveys; your voice matters. - Health & life coverage in select locations. How to apply: We love seeing applications that speak directly to us. It’s easy for your application to get lost in a sea of generic ones, especially when we’re sorting through dozens of them. So, make yours stand out! Show us your personality, your passion, and why you’re the perfect fit. We appreciate the effort it takes to create something thoughtful and unique.