Scala Jobs

X Ads is a high-leverage product area at X, focused on rebuilding its platform with modern infrastructure and AI at its core. This is an opportunity to join a small, fast-moving team where engineers can take on significant ownership, learn from experienced colleagues, and ship impactful products. The role involves working across product, backend systems, infrastructure, and AI-powered features that directly influence a substantial portion of X's revenue. We are seeking high-slope software engineers eager to transform the X Ads Platform using SpaceXAI's infrastructure and AI stack, particularly those early in their careers who learn quickly, ship fast, and are excited to understand and improve large-scale advertising systems with AI.

$150k - $350k

The Data Platform team builds and operates the infrastructure responsible for all large-scale data transport and processing across the company. We own and manage core systems including Apache Kafka, HDFS, Spark, Flink, and Trino, enabling real-time ML pipelines, feed ranking, experimentation, analytics, and observability at petabyte scale. Our team deals with latency-critical workloads, high-throughput streaming, and distributed compute systems that require fault tolerance, performance, and absolute reliability. As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering SpaceXAI's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.

$180k - $440k

The Data Intelligence & Analytics organization builds core data platforms and internal products that drive company-wide decision-making. We design and operate large-scale data systems, manage the company's data lake and ingestion infrastructure, and develop end-to-end applications transforming complex datasets into reliable business-critical products. This role sits at the intersection of data platforms, distributed systems, and product development, offering opportunities to own problems across the stack, build specialized data solutions for predictive modeling and machine learning, and construct systems that run the business. We are seeking an experienced Data Engineer to join our Bengaluru team to scale the development of internal data products. You will build data-driven applications empowering go-to-market, engineering, and product teams, with end-to-end involvement from requirements shaping to long-term ownership. You will work on scalable, reliable systems solving critical business problems, partnering with full-stack engineers to develop new features and operate data pipelines and services. Our stack includes Go, Scala, and ClickHouse, and we are incorporating AI components, vector databases, MCP-based services, and Workers AI.

Cloudflare is seeking an experienced Data Engineer to join their Austin team. This role involves scaling the development of internal data products, building data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. As the team initiates and owns its products, you will be involved end-to-end, from shaping requirements and designing features to implementation and long-term ownership. You will work on building scalable, reliable systems that solve critical business problems, partnering closely with full-stack engineers to develop new features and operate data pipelines and services. The role offers opportunities to work with a diverse stack including Go, Scala, and ClickHouse, and to build sophisticated, AI-ready data layers using tools like vector databases and Workers AI.

Runpod is seeking a Senior Data Engineer to join their remote-first team. This role is crucial for building and maintaining the AI Developer Cloud platform that serves over a million developers. You will be responsible for owning data pipelines end-to-end, from ingestion to data products, utilizing technologies like Snowflake, dbt, Dagster, Terraform, and AWS. The position also involves working in an AI-forward environment, delegating tasks to and extending the capabilities of autonomous AI agents, and critically reviewing their output. This is an opportunity to shape the future of AI infrastructure for the next generation of developers.

$175k - $220k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer to join our full-stack data team. You will be instrumental in building systems that enhance the intelligence of our AI agents with every interaction. This role involves developing real-time pipelines, analytics products, and personalization primitives to transform customer conversations into business outcomes. You will contribute to architecting and building our core data platform for low-latency, large-scale data handling, including real-time eventing, streaming and batch ETL, and our data lakehouse. Additionally, you will develop systems for long-term agent memory, reusable Customer Data Platform (CDP) primitives, and optimization loops for personalized interactions that demonstrably improve business results.