Platform & Reliability Engineer

Product Support Specialist (Mandarin-speaking)

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. WHAT YOU'LL DO As part of our growing, global Product Support team, you'll be a critical driver in delivering excellent user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, problem-solving mindset, and project management skills to strategically improve our support systems, processes, and product quality. You'll own complex technical user issues and coordinate with cross-functional teams, including Engineering and Product, to drive them to resolution. A deep understanding of SQL and APIs allows you to engage with these teams effectively, analyze data to inform decisions, and propose solutions that drive operational efficiency. Your work focuses on scaling support operations, creating better user experiences, and pushing forward continuous improvements that align with our key metrics, such as Consumer Satisfaction (CSAT), Contact Rate, and Service Level Agreements (SLA). RESPONSIBILITIES * Analyze and troubleshoot complex technical issues through direct user interaction (email, phone), utilizing SQL to extract and interpret data, and leveraging your knowledge of API documentation. * Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues. * Strategically optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics. * Lead continuous improvement initiatives aimed at hitting key performance metrics such as Consumer Satisfaction (CSAT), Contact Rate, and SLA compliance. * Create and refine documentation to empower users to resolve issues via self-service, reducing dependency on support teams. * Collaborate with and advocate to Product and Engineering to proactively improve the platform based on user feedback, ensuring long-term product reliability. * Lead cross-functional projects aimed at identifying inefficiencies in current processes and driving the implementation of long-term solutions. * Constantly challenge the status quo and push for innovation in user support strategies and operational processes. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * Business-level proficiency in Mandarin (written and spoken) is required, as this role involves daily communications with our users in the Greater China region.  * 4+ years of experience in a customer-facing product support role, with a focus on troubleshooting technical issues. * Proficiency in SQL for data analysis and querying, with the ability to interpret datasets. * Experience working with APIs. * Excellent problem-solving skills, capable of diagnosing complex issues and driving them to resolution. * Proven experience in stakeholder management, with the ability to influence cross-functional teams and drive progress. * Experience in project management, particularly in optimizing processes, workflows, or support operations. * Willingness to work occasional weekends and holidays (with compensatory time off). PREFERRED QUALIFICATIONS * Strong data analysis skills and a passion for interpreting data to improve decision-making and outcomes * Comfortable explaining technical concepts to both technical and non-technical stakeholders * Proficiency in technical environments and the ability to diagnose and resolve highly technical user issues

Optimization Data Analyst

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimization Data Analyst We are seeking an experienced Optimization Data Analyst to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth. This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale. What You’ll Do * Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base. * Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders. * Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements. * Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor. * Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler. * Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence. Who You Are * 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment. * Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing. * Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability. * Familiarity with big data tools (Spark, Airflow) and version control using Git. * Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development. * Deep understanding of statistics, hypothesis testing, and data mining. * Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes. * Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment. * Excellent communication and storytelling skills, translating data insights into business value. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Singapore office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Specialist Solutions Architect (Security)

Databricks

FEQ327R528 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation * Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform   * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community and act as a technical SME. What we look for: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) * Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: * Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). * Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability * Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) * Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). * Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.  * Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions * Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration * Production programming experience in one or more of the following languages - Python, Scala, SQL, or R * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience * The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed. * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.