Software Engineer, Core Infrastructure

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 Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas within Core Infrastructure. We're the home for Stripe's critical tier-0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching, and High Assurance Engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. WHAT YOU'LL DO As an Engineering Manager for the Core Performance team at Stripe, you'll lead a team responsible for driving improvements in efficiency and latency across Stripe. RESPONSIBILITIES • Lead and grow an engineering team in Sydney—hire, coach, mentor, and develop engineers at all levels • Partner with engineering teams across Stripe to identify and implement infrastructure solutions that enhance scalability, reliability, and efficiency • Create team vision, define goals, prioritize work, and deliver high-quality outcomes • Cultivate a culture of engineering excellence, innovation, and continuous improvement • Collaborate with staff engineers and technical leadership on architecture and strategic technical decisions, translating technical strategy into team-level plans • Work effectively with geographically distributed colleagues and remote workers to ensure alignment and visibility 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 • 10+ years of software engineering experience, including at least 5 years in engineering management. You have a proven track record of leading, growing, and aligning inclusive teams, including remote and distributed engineers • Deep background in the performance, efficiency, and capacity planning of large-scale infrastructure platforms capable of handling millions of requests per second (RPS) • Extensive hands-on experience with cloud technologies (preferably AWS), core infrastructure components (Compute, Linux, Storage), and relevant programming languages (e.g., Go, Ruby, Java) • Demonstrated acumen in guiding technical strategy, architecture, and roadmap planning for complex infrastructure systems in ambiguous, fast-changing environments • Excellent analytical and communication skills, with the ability to leverage data to drive decision-making and influence cross-functional teams across all levels of the organization

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 Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success. WHAT YOU'LL DO You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. RESPONSIBILITIES * Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services * Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end  * Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale  * Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations  * Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)  * Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability  * Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS 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 * This is a Staff-level role—that typically means 10+ years of experience building, operating, and evolving large-scale production systems.   * Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments * Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot * Experience developing, maintaining, and debugging distributed systems built with open-source tools * Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems * Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.) * Comfortable operating with high autonomy and ownership * Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed * Strong written and verbal communication skills, including the ability to produce clear technical documentation PREFERRED QUALIFICATIONS * Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale * Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production * Experience building or operating control planes for managing large-scale infrastructure * Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc.)

Lovable Labs Sweden AB

TL;DR We’re looking for an exceptional software engineer with a systems mindset to build and evolve the core software behind the future of AI software engineering. You will design, ship, and own critical services and systems that power Lovable - making sure they're fast, reliable, and ready for whatever scale throws at them. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for Deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer or similar. You write clean, performant code and understand what happens all the way down - from the API layer to the runtime. Familiarity with container orchestration and sandboxing at a level deeper than configuration. You understand how schedulers, runtimes, and isolation boundaries actually work, not just how to deploy on top of them. Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar) You have a track record of designing services that handle high throughput and unpredictable load at a global tech company or scale-up. You’re comfortable navigating ambiguity and solving problems as they arise. You care about security, stability, and speed and know when to make trade-offs between them. You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Design, build and own the systems that makes AI engineering work for everyone. Design, build and maintain the systems that enable our AI product, such as: Gvisor-based runtime environment for running agentic workloads. A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions. Harden our infrastructure against failures, downtime, and slowdowns. Support our growth by making sure that our infrastructure never becomes a bottleneck. Plan and implement our network infrastructure and cloud strategy. Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: Frontend: React and Typescript. Backend: Golang and Rust. Cloud: Cloudflare, GCP, AWS, Modal. Data: Clickhouse, Firestore, Spanner, BigQuery. DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next! About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal