
Stripe · Bengaluru
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 ...
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.
The Data Foundations team drives Data Engineering and Data Apps and Tooling work across Stripe, enabling Stripe employees to
leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store,
process, and analyze data, both at rest and in motion.
Revenue and Finance Automation—The Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of
their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, the Revenue and Finance
Automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.
Data Engineering Solutions—We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build
pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for
Stripe users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to
scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale
incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team
will work closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services
for data.
As a Software Engineer, you'll design and build platforms and system solutions that are configurable and scalable around the
globe. You'll partner with many functions at Stripe, with the opportunity to both work on financial platform systems, as well as
direct user-facing business impact.
domains at Stripe.
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.
Software by Quokka AB is a subsidiary of Quokka AB, and part of Hans Andersson Group. Our company offers high-end software engineering services to enterprises within Automotive, Telecom, MedTech and Fintech. Moreover we offer an innovation hub for our employees. Within the group of over 30 companies we have vast experience from starting new companies and a genuine interest to invest in ideas and people we believe in. We know that our success is based on enabling the full potential of our employees – our most important asset! The basis for our culture is a strong employee focus. On top of this, we grow a culture based on three pillars: Joy, Curiosity and Innovation. We are inspired by the Quokka – known for its curiosity and for being the happiest animal on the planet! We are now looking for talented software engineers with experience and competence in Big Data & AI, DevOps, Android/iOS, Fullstack Cloud and/or Embedded development. #jobbjustnu. Who are you? We believe that you are curious, flexible, open-minded and eager to continuously improve your skills. You have an innovative, pragmatic, collaborative and creative mind-set of handling technical challenges. You enjoy team-work but at the same time you are able to work independently and drive development on your own. You have a positive attitude and the willingness and ability to take initiatives to progress and deliver. Education MSc/BSc Computer Science or equivalent Languages English, professional level
P-1317 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 solve 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 software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 2+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. 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.
P-1320 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 solve 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. Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience. Below are some example teams you can join: SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage. Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects. Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform. Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills. What we look for: * BS/MS/PhD in Computer Science, or a related field * 2+ years of experience with HTML, CSS, and JavaScript * Passion for user experience and design and a deep understanding of front-end architecture * Comfortable working towards a multi-year vision with incremental deliverables * Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember) * Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM) * Good knowledge of SQL * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes * Experience in architecting, developing, deploying, and operating large scale distributed systems 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.