Software Engineer, Product Security Data Platforms

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. You'll contribute to a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world's most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Software Engineer on this founding team, you'll contribute to the technical design and implementation of our core security data pipelines. You'll help build the systems that capture security signals, process them at scale, and deliver them to users through robust, developer-friendly interfaces. This is an opportunity to grow quickly, make a meaningful impact from day one, and help shape a product that directly improves security outcomes for businesses worldwide. RESPONSIBILITIES * Build scalable foundations. Implement components of a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry * Build API-first products. Develop core services and streaming APIs that enable enterprise customers to ingest security signals into their internal security operations centers and analytics tools * Engineer security signals. Partner with security researchers and threat detection experts to build logic that identifies anomalous behavior and surfaces high-fidelity security insights * Contribute to technical design. Participate in discussions on data modeling, storage strategies, and the abstraction layers that will support future security products * Raise the bar for quality. Write clean, well-tested code and contribute to a culture of code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability * Collaborate cross-functionally. Work closely with Stripe's core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected 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 * 2+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Experience with or interest in security analytics, threat detection systems, or observability platforms * Experience building infrastructure or services used by other engineers or external developers * Familiarity with cloud-native infrastructure tools such as AWS, Kubernetes, or Terraform * Product intuition and a desire to work on "0-to-1" initiatives where you help define requirements and user experience alongside engineering * Front-end or full-stack experience, particularly with React or TypeScript

Repli5 AB

About Repli5 Repli5 is a Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, which is essential in developing solutions for industrial robotics, autonomous drones, smart factories, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Build the Engine of our Future We are looking for a highly driven Founding Software Product Engineer - Repli5 Platform to take the reins on our core cloud platform. This is a rare "greenfield" opportunity: you will be architecting and building out the platform from the ground up, allowing users to effortlessly generate computer vision training datasets. As a pivotal early member of our startup, you won't just be writing code—you will lead our platform development. You will sit at the intersection of our users, our 3D artists, and our Machine Learning engineers, translating complex generative AI capabilities into a seamless, scalable user experience. If you love the autonomy of a startup, thrive on making high-level architectural decisions, and want to build a product that directly impacts the future of autonomous systems and robotics, this is the role for you. What You Will Do (Key Responsibilities) Architect & Build: Lead the end-to-end full-stack development of our user-facing cloud platform, owning the technical roadmap and tech stack decisions. Product Lead: Lead the development of the platform product and ensure we are building features that solve real problems for our clients in robotics, drones, and manufacturing. Design for Flexibility: Create a robust architecture that thrives as a cloud-native application today, but is adaptable enough to be packaged for strict on-premise enterprise deployments tomorrow. Bridge the Gap: Work closely with our Software, Machine Learning, and 3D teams. You don't need to be an ML scientist, but you will integrate generative AI features and distributed training pipelines into the platform. Drive Engineering Culture: Set the standard for clean code, scalable architecture, and platform security as we grow the team around you. Who You Are (Qualifications) The Essentials: Minimum of 5 years of proven experience in full-stack software development with strong programming skills in modern frameworks (e.g., SvelteKit/React for frontend; Python/Node.js/Go for backend). Cloud & Infrastructure Guru: Deep experience architecting and deploying cloud platforms and practical knowledge of containerization/orchestration for both cloud and on-prem environments, as well as DevOps skills and experience in GPU-based services. Product Mindset: You have experience with, or a strong appetite for, Product Management/Product Ownership. You care just as much about why you are building something as how you are building it. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. Cross-Disciplinary Curiosity (Big Plus!): A strong interest in or exposure to 3D creation (e.g., Unreal Engine, Blender) and/or Machine Learning (specifically Generative AI or Stable Diffusion). Understanding these domains will give you a massive advantage in collaborating with our specialized team members! A Team Player: A problem solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive salary, pension, insurances and Stock Options. Healthy work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem related to the position and you are expected to present how you would solve this. This is followed by general technical questions Final stage is a sync with the CEO.

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. WHAT YOU'LL DO As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. RESPONSIBILITIES * Design, build, and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. * Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users. * Ensure operational excellence and enable a highly available and reliable Data Orchestration platform across batch workloads. * Collaborate with high-visibility teams and their stakeholders to support their key initiatives—while building a robust platform that benefits all of Stripe in the long term. * Plan for the growth of Stripe infrastructure by unblocking, supporting, and communicating with internal partners to achieve results. * Connect your work with improvements in the usability and reliability of open source software (OSS) like Apache Airflow, Iceberg, and Spark, and contribute back to the OSS community. 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 * 8+ years of professional experience writing high-quality, production-level code or software programs and an interest in data infrastructure. * Has experience operating or enabling large-scale, high-availability data pipelines from design to execution and safe change management. Expertise in Spark, Flink, Airflow, Python, Java, SQL, and API design is a plus. * Has experience developing, maintaining, and debugging distributed systems built with open source tools. * Has experience building infrastructure-as-a-product with a strong focus on user needs. * Has strong collaboration and communication skills, and can interact with both technical and non-technical participants. * Has the curiosity to learn about new technologies and business processes. * Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. PREFERRED QUALIFICATIONS * Has experience writing production-level code in Scala, Spark, Flink, Airflow, Python, Java, and SQL. * Has experience designing APIs or building developer platforms. * Has experience optimizing the end-to-end performance of distributed systems. * Has experience scaling distributed systems in a fast-moving environment. * Has experience working with Airflow infrastructure. * Genuine enjoyment of innovation and an interest in understanding how things work. Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Office location—Bengaluru, KA, India