Senior Software Engineer – Data Platform Emulators

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August 27

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LocalStack

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SaaS • Productivity • Developer Tools

LocalStack is a tool that enables developers to run and test their AWS applications locally, facilitating faster development and reducing AWS costs. By serving as a localized emulator for AWS, LocalStack simplifies the development and testing process, allowing teams to focus on building and deploying applications without the overhead of managing AWS dev accounts. It offers features like local AWS service emulation, enhanced development speed, and reduced complexity in cloud application testing. This makes it a popular choice among development teams looking to improve productivity and efficiency in cloud-based projects, all while minimizing cloud expenses.

11 - 50 employees

Founded 2017

☁️ SaaS

⚡ Productivity

📋 Description

• Fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. • LocalStack provides a high-fidelity emulator and local cloud development platform for developing cloud applications and data pipelines locally within a lightweight cloud sandbox, running in Docker. • Mission to empower developers to rapidly build and test cloud applications, improve dev experience, and save time and resources. • Large open-source community (57k+ stars on GitHub), 100k+ active users, 290M+ downloads; customers range from SMBs to Fortune 500. • Role ideal for someone with 5+ years of software engineering experience, strong API design skills, and solid backend expertise; work on Snowflake and AWS big data emulators, building features and ensuring high-fidelity cloud platform emulation.

🎯 Requirements

• Ensure Snowflake, Redshift, Athena, Glue, and future emulators are kept up to date with the latest syntax, behaviors, and APIs. • Identify and resolve bugs, edge cases, and inconsistencies across emulated services. • Maintain robust CI/CD pipelines, regression test coverage, and integration test suites for high-fidelity emulation. • Provide a fast and intuitive local development loop with meaningful error messages, good performance, and easy configuration. • Improve emulator usability in CLI tools, SDKs, and client integrations (e.g., JDBC, SnowSQL, 3rd part integrations). • Design and implement support for additional data platform features, services, and cloud providers (e.g. Azure Synapse, BigQuery). • Track cloud service evolution and update emulators to reflect new capabilities or changes. • Build abstractions that make it easy to plug in new service behaviour or data models. • Ensure emulators work seamlessly with orchestration and infrastructure-as-code tools (e.g., dbt, Terraform, Airflow, CDKs). • Gather and act on feedback from internal and external teams to prioritize high-impact integrations. • Build usage analytics and telemetry to understand adoption patterns and developer needs. • Maintain high code quality, clear architecture, and extensibility to support contributions and experimentation. • 5+ years (senior) of professional experience in backend or systems engineering, ideally within the database domain. • Strong understanding of modern databases and data warehouses, including SQL engines, query planning, storage layers, indexing, and SQL parsing/ASTs, with experience developing database features. • Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery, including optimization techniques and custom parsers/transpilers. • Practical knowledge of distributed and analytical engines (e.g., Apache Spark, Trino, PostgreSQL, DuckDB) with skills in query engines, performance tuning, and integration in local and production environments. • Experience building developer tooling such as CLI tools, SDKs, and database drivers (JDBC/ODBC) or related integrations. • Proficiency in writing integration and regression tests, maintaining CI/CD pipelines, and automating test scenarios for complex data workflows. • Familiarity with Docker-based development environments (Docker & Docker Compose), containerized services for local testing, and container networking; Kubernetes experience is a plus. • Experience with at least one major public cloud (AWS, Azure, or GCP), ideally working with big data or database services. • Strong programming skills in Python (Java a plus); familiarity with TypeScript or Go is (nice to have.) • Experience contributing to open source or working with communities to gather feedback, triage issues, and guide contributors. (Nice to have)

🏖️ Benefits

• Fully remote • Competitive salary • Performance bonus • Competitive share options • Annual company retreat • Learning budget