Req ID: FEQ427R72
Location: Singapore

FEQ426R34

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients In Taiwan, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in Mandarin is required as this role serves clients based in Taiwan and involves direct customer communications in Mandarin

Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark™ programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese is required as this role serves clients based in Hong Kong and involves direct customer communications in Cantonese

Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in the Greater China Region to provide technical and business value in collaboration with Account Executives.
• Form successful relationships with clients in Greater China Region, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions. 

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Senior Software Engineer (Full Stack)

Our advanced trading platform sits at the intersection of crypto, equities, and prediction markets. One of the most technically ambitious trading environments being built today. As a Senior Software Engineer, you will design and implement a variety of software systems that motivate, execute, and settle what is shaping up to be the largest transfer of wealth from the past to the future.

We are looking for a talented software engineer that is focused and fascinated by the real time movement of price and value at wire speed across a global liquidity network of buyers and sellers.

Responsibilities:

• Conceive, assemble, and deliver the financial platform that meets the trading team’s functional and non-functional requirements
• Build out our global liquidity network at scale across key financial centers worldwide
• Cultivate best practices and collaborate with engineering teams structuring applications
• Realize and promote the domain model and architecture for our trading platform
• Leverage key software systems and services from across Gemini’s portfolio of exchange, settlement, and custodian technologies
• Own projects end to end  from design through delivery  working cross-functionally with product managers and stakeholders

Minimum Qualifications:

• Proficiency with Golang (preferred) or equivalent back-end experience in Java, Scala, or similar; strong back-end engineers with comparable experience will be considered
• Proficiency with TypeScript (React) for front-end development
• At least 6 years of experience in full-stack development, with a strong focus on design, development, and delivery of scalable, distributed systems
• Experience building microservices deployed on AWS and Kubernetes
• Track record of working with a distributed design and development effort
• Strong analytical and conceptual skills with solid organizational skills and attention to detail
• Engaging communicator with a knack for precision and conciseness
• Independent decision maker able to act decisively based on your domain expertise
• Understanding of communication protocols, specifically FIX, Websocket, REST and GraphQL

Preferred Qualifications:

• Understanding of centralized financial exchanges (CeFi)
• Understanding of central limit order books and other liquidity providers
• Experience at a startup or high-growth technology company; demonstrated ability to operate with ownership and autonomy
• Background in crypto, equities trading, or prediction markets

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Comprehensive health plans covered at 100% for employees and dependents
• Long-term incentive in the form of a new hire equity grant
• Paid Parental Leave
• Competitive paid time off

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

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.

About the team

Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability—from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough.

What you’ll do

As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.

Responsibilities

• Work on cross-functional projects, directly collaborating with other engineers
• Give meaningful feedback on code reviews and technical designs
• Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
• Build the skills to own a project from beginning to end, learning project management and technical leadership skills

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

• A Bachelor’s, Master’s, or PhD degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
• Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Preferred qualifications

• One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
• Experience in code review practices, and an understanding of how to safely update production systems
• Familiarity with navigating and managing work in large code bases

The Role

We are looking for one of our first engineering hires in Singapore — a Forward Deployed Engineer (FDE) who will play a critical role in shaping Addepar’s growth in the region.

Forward Deployed Engineers partner directly with key technical and strategic stakeholders at Addepar’s largest enterprise clients. From building custom data integrations to extending platform capabilities, FDEs operate with autonomy and ownership to deliver meaningful impact for our clients.

At Addepar, FDEs are not part of a services organization. Instead, they act as an extension of the platform, partnering with clients in a highly collaborative way, focused on outcomes rather than billable hours. You will join a global FDE team that continuously evaluates opportunities and priorities, ensuring we are solving the most important and impactful problems for our clients.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment.

What You’ll Do

• Work in small, agile teams with minimal supervision, setting priorities and managing client interactions.
• Take full responsibility for the end-to-end delivery of high-value projects.
• Gain exposure to a wide variety of technical challenges, new technologies, and complex problem-solving opportunities.
• Turn lessons learned from client engagements into scalable, long-term solutions.
• Collaborate closely with Addepar’s engineering and product teams to share insights, inform design strategy, and contribute directly to our core product.
  
  

Who You Are

• Minimum 4+ years of experience as a professional Software Engineer.
• Proficiency in one or more object-oriented programming languages (Java and/or Python preferred), and/or compiled languages (Go, Rust, Scala preferred).
• Experience building systems with relational or NoSQL database storage.
• A degree in Computer Science, Software Engineering, Mathematics, or another technical field, paired with professional software engineering experience.
• Strong ability to lead complex projects, manage timelines, and build strong working relationships.
• Comfortable working in cross-functional and collaborative team environments.

Nice to Have:

• Experience in one or more strongly typed server-side programming languages (e.g., Java, C++).
• Experience with distributed storage and execution frameworks (e.g., Arrow, Spark, Flink, Storm).

Why Join Us

This is a unique opportunity to be one of the first engineers at Addepar Singapore. You’ll have the chance to build innovative solutions for global clients, influence how we grow our presence in Asia, and collaborate with world-class teams across our international offices.

FEQ427R102

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language.

CSQ426R258

As a Staff Forward Deployment Engineer (DE/AI Spike), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Director, Professional Services.

The impact you will have:

• You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
• You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
• You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
• Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
• Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
• Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
• Provide experience to the consulting team, provide best practices in client engagement to other teams

What we look for:

• 10+ years of experience in Design and Implementation of Big Data technologies (Apache Spark™) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
• Deep technical knowledge and comfortable coding in Python or Scala
• Familiarity with GCP/Azure/AWS/EC2 cloud deployment models (Public vs. VPC) is a plus
• Experience working with teams across a diverse geographic area

FEQ427R102

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout Indonesia, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in the Bahasa Indonesian language is required as this role serves clients based in Indonesia and involves direct customer communications in the Bahasa Indonesian language.

FEQ127R21

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
• Proficiency in Mandarin is required as this role involves direct customer communications in Mandarin

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Researcher to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. You will work alongside the PM in a tight knit and fast paced environment with consistent exposure to a Bridgewater CIO. Your primary focus will be on alpha research with responsibilities along all aspects of the process from idea generation to data discovery, research and analysis, testing, portfolio optimization, and implementation. 

You will drive the following responsibilities:  

• Research & Development - Drive a systematic research process end to end including idea generation, data modeling, research/analysis, implementation, and industrialization. 

• Oversight & Monitoring – Continuously evolve our systematic oversight processes to understand drivers of risk, return, and views. Generate ideas to improve existing signals. Contribute ideas for discretionary trades and overlays to the portfolio. 

• Discovery – Identify and assess new datasets to identify their merit in our investment process. Follow and look to implement the latest developments in academic research. Experiment with new technologies to improve both our investment process and research and development environment. 

• Collaboration – Work across our data engineers, developers, and researchers to evolve our research platform and data ecosystem. Engage with the broader Asia strategies team to share observations and generate ideas. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1-4 years of work experience in quantitative research at a hedge fund, asset manager, or bank. Experience in systematic equities a plus. 

• Strong mathematical and statistical modeling skills (both time series and cross-sectional analysis) 

• Demonstrated proficiency in statistical languages (Python or R) and experience with database programming languages and environments (SQL and Snowflake) 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.   

• Strong desire to work with new development assistant technologies to drive productivity.   

• Experience working with large, diverse, and alternative datasets 

• Experience working with factor models (both externally sourced and internally developed) 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints. 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you opportunities that will challenge you and unlock your potential. 

Compensation 

• The expected annual base salary for this position is $250,000-$300,000. The total compensation package includes variable compensation in the form of a discretionary target bonus.  

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer   

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Developer to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. This is a hands-on, embedded role, working directly with the portfolio manager and researchers in a tight-knit, fast-paced environment. You will have consistent exposure to senior investment leadership and play a central role in translating research ideas into robust, production-ready, systems.

Unlike high-frequency or execution-driven QD roles, this position emphasizes (1) research enablement (2) model implementation (3) data pipelines (4) portfolio construction (5) oversight. You will sit at the intersection of research, engineering, and portfolio management, with direct ownership over the tools and systems that drive investment decisions. 

You will drive the following responsibilities:  

• Research Enablement & Implementation  

• Partner closely with the PM and researchers to translate alpha ideas into scalable, production-quality models. 

• Maintain and evolve our research & production environments – from signal development to portfolio construction & risk management. 

• Incorporate AI/Machine Learning technologies into the team’s research and investment process. 

• Data & Infrastructure 

• Efficiently engineer and assess datasets for alpha potential. Work across large, unstructured, and alternative datasets relevant to APAC markets.  

• Ensure data quality, reproducibility, and performance across research and live environments 

• Portfolio Construction & Analytics 

• Develop tools to monitor portfolio exposures, risk, performance attribution, and signal behavior. 

• Partner with the PM on discretionary overlays, stress testing, and scenario analysis. 

• Work across trade execution and portfolio implementation teams to manage our portfolios.  

• Collaboration 

• Work across our data engineers, developers, and researchers to evolve our shared research platform and data ecosystem. 

• Contribute to improving productivity, tooling, and research velocity within the pod. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets and systematic investing. 

• Have a drive to build the backbone that directly impacts P&L. 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies and translate that into a systematic process. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1–4 years of experience in a quantitative development, research engineering, or hybrid QD/QR role at a hedge fund, asset manager, or bank. Experience in systematic equities or macro is a plus. 

• Strong programming skills in Python (experience writing production-quality, maintainable code). 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.  

• Experience designing, documenting, and scaling high-performance systems. 

• Strong desire to work with new development assistant technologies to drive productivity.  

• Experience working with databases and data platforms (SQL; Snowflake or similar) 

• Solid foundation in statistics and applied mathematics, particularly time-series and cross-sectional analysis. Familiarity with factor models, signal pipelines, and portfolio optimization frameworks 

• Experience supporting or implementing systematic investment strategies 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints.  

• Comfort and desire to work across research and engineering contexts rather than a narrowly scoped infra role 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you with opportunities that will challenge you and unlock your potential.  

Compensation 

• The expected annual base salary for this position is SGD 252,700-SGD 315,800. The total compensation package includes variable compensation in the form of a discretionary target bonus. 

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer  

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Developer to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. This is a hands-on, embedded role, working directly with the portfolio manager and researchers in a tight-knit, fast-paced environment. You will have consistent exposure to senior investment leadership and play a central role in translating research ideas into robust, production-ready, systems.

Unlike high-frequency or execution-driven QD roles, this position emphasizes (1) research enablement (2) model implementation (3) data pipelines (4) portfolio construction (5) oversight. You will sit at the intersection of research, engineering, and portfolio management, with direct ownership over the tools and systems that drive investment decisions. 

You will drive the following responsibilities:  

• Research Enablement & Implementation  

• Partner closely with the PM and researchers to translate alpha ideas into scalable, production-quality models. 

• Maintain and evolve our research & production environments – from signal development to portfolio construction & risk management. 

• Incorporate AI/Machine Learning technologies into the team’s research and investment process. 

• Data & Infrastructure 

• Efficiently engineer and assess datasets for alpha potential. Work across large, unstructured, and alternative datasets relevant to APAC markets.  

• Ensure data quality, reproducibility, and performance across research and live environments 

• Portfolio Construction & Analytics 

• Develop tools to monitor portfolio exposures, risk, performance attribution, and signal behavior. 

• Partner with the PM on discretionary overlays, stress testing, and scenario analysis. 

• Work across trade execution and portfolio implementation teams to manage our portfolios.  

• Collaboration 

• Work across our data engineers, developers, and researchers to evolve our shared research platform and data ecosystem. 

• Contribute to improving productivity, tooling, and research velocity within the pod. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets and systematic investing. 

• Have a drive to build the backbone that directly impacts P&L. 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies and translate that into a systematic process. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1–4 years of experience in a quantitative development, research engineering, or hybrid QD/QR role at a hedge fund, asset manager, or bank. Experience in systematic equities or macro is a plus. 

• Strong programming skills in Python (experience writing production-quality, maintainable code). 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.  

• Experience designing, documenting, and scaling high-performance systems. 

• Strong desire to work with new development assistant technologies to drive productivity.  

• Experience working with databases and data platforms (SQL; Snowflake or similar) 

• Solid foundation in statistics and applied mathematics, particularly time-series and cross-sectional analysis. Familiarity with factor models, signal pipelines, and portfolio optimization frameworks 

• Experience supporting or implementing systematic investment strategies 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints.  

• Comfort and desire to work across research and engineering contexts rather than a narrowly scoped infra role 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you with opportunities that will challenge you and unlock your potential.  

Compensation 

• The expected annual base salary for this position is SGD 252,700-SGD 315,800. The total compensation package includes variable compensation in the form of a discretionary target bonus. 

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer  

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Researcher to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. You will work alongside the PM in a tight knit and fast paced environment with consistent exposure to a Bridgewater CIO. Your primary focus will be on alpha research with responsibilities along all aspects of the process from idea generation to data discovery, research and analysis, testing, portfolio optimization, and implementation. 

You will drive the following responsibilities:  

• Research & Development - Drive a systematic research process end to end including idea generation, data modeling, research/analysis, implementation, and industrialization. 

• Oversight & Monitoring – Continuously evolve our systematic oversight processes to understand drivers of risk, return, and views. Generate ideas to improve existing signals. Contribute ideas for discretionary trades and overlays to the portfolio. 

• Discovery – Identify and assess new datasets to identify their merit in our investment process. Follow and look to implement the latest developments in academic research. Experiment with new technologies to improve both our investment process and research and development environment. 

• Collaboration – Work across our data engineers, developers, and researchers to evolve our research platform and data ecosystem. Engage with the broader Asia strategies team to share observations and generate ideas. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1-4 years of work experience in quantitative research at a hedge fund, asset manager, or bank. Experience in systematic equities a plus. 

• Strong mathematical and statistical modeling skills (both time series and cross-sectional analysis) 

• Demonstrated proficiency in statistical languages (Python or R) and experience with database programming languages and environments (SQL and Snowflake) 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.   

• Strong desire to work with new development assistant technologies to drive productivity.   

• Experience working with large, diverse, and alternative datasets 

• Experience working with factor models (both externally sourced and internally developed) 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints. 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you opportunities that will challenge you and unlock your potential. 

Compensation 

• The expected annual base salary for this position is $250,000-$300,000. The total compensation package includes variable compensation in the form of a discretionary target bonus.  

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer   

Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win!

Visier is recruiting for a Software Developer Intern to join our innovative and extremely talented Development department.

Our internship experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after a few months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier!

And we use cool state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, React, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kotlin, Python, Kafka, Spark, Consul, Cassandra DB, Docker, AWS, etc. We work with LLMs, various prompt engineering techniques and related technologies such as LangChain. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Writing tests
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, Python, JavaScript, Typescript, Scala, or other similar languages)
• Knowledge of data structures and algorithms
• Knowledge of one of the following areas would be an advantage:
  • LLMs
  • Web technologies (REST, HTML/CSS, JSON, Angular)
  • Relational and non-relational databases and SQL language
• Coding skills in writing functional tests
• Attention to detail, tendency to spot mistakes and identify potential improvements

Most importantly, you share our values...

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

Req: CSQ127R173
Location: Singapore

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What We Look For

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
  
• Proficiency in Mandarin and English is a must as this role serves clients based in the Greater China Region and involves direct customer communications in Mandarin. 

CSQ427R20

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

P-1529

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager.

The impact you will have:

• Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs.
• Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback.
• Help the support team with detailed troubleshooting guides and runbooks.
• Contribute to automation and tooling initiatives to streamline daily troubleshooting.
• Partner with the engineering team and spread awareness of upcoming features and releases.
• Identify and contribute supportability features back into the product.
• Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests.
• Participate in weekend and weekday on-call rotation.

What we look for:

• • 7+ years of industry experience
  • Experience with supporting Java, Scala or Python-based applications.
  • Expert in scripting using Python or Shell.
  • Comfortable with black box troubleshooting.
  • Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment.
  • Experience with SQL-based database systems.
  • Experience in Linux and network troubleshooting is required.
  • Experience with AWS, Azure or GCP related services.
  • A bachelor's degree in Computer Science or a related field is required

Get to Know our Team: In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity: As a senior lead/principal engineer at Agoda, you will drive the technological evolution of our front-end systems. You will be responsible for architecting, implementing, and optimizing user interfaces that enhance the user experience for millions of travelers worldwide. This position requires a deep understanding of back-end development principles, a passion for crafting exceptional user experiences, and expertise in various back-end technologies. 

In this role, you’ll get to: 

• Architecting and developing highly scalable, mission-critical back end systems
• Owning a big chunk of Agoda’s system all the way from the north-star & vision down to the bytecode level
• Enabling impactful collaboration and cross-team projects on big projects, making a dent in the quality of our services, code & architecture
• Providing thoughtful feedback, nurture an inclusive engineering environment, and champion engineering fundamentals. Bring out the best from your fellow engineers.
• Identifying and implementing opportunities for optimization across the technology stack, focusing on cost, efficiency, velocity & dev happiness
• Exhibiting technical leadership throughout the broader organization, conveying complex technical trade-offs to non-techies such as business owners & C-suite executives.

What you’ll Need to Succeed: 

• Overall experience of 10+ years in engineering roles
• Proven hands-on experience with owning production services with significant impact on design, development, deployment, monitoring & evolution
• Curiosity, staying updated on technological improvements and open source advancement. 
• Strong programming skills in languages such as Kotlin, Scala, Java, C#.  
• Can perform deep research & take decisions on complex projects. Can easily toggle between running as a lone wolf and also works great as part of a pack
• Strong communication skills, with the ability to explain complex technical details to stakeholders at all levels.  
• On top of being an expert in BE, has understanding of challenges and trade-offs in the entire engineering universe, from FE/Mobile to Data 7 analytics
• Bachelor's degree in Computer Science, Engineering, or a related field.

It’s great if you have: 

• A Master's or Ph.D. in a technical field
• Experience with Kubernetes for effective container orchestration and scaling 
• Deep understanding of CI/CD pipelines, automation tools, and practices relevant to machine learning.  
• Experience in programming with Rust, C or other low level languages

This position is based in Singapore.

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