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Software Engineer IV at Databricks
DatabricksMountain View, California; San Francisco, California·5d ago
Mid LevelFull-timeJavaScriptPythonJavaC++AWSGCPAzureKubernetesDockerPostgreSQL
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Software Engineer to join our team at Databricks, the data and AI company. You'll be responsible for designing, developing, and enhancing a cloud-hosted SaaS platform, applying knowledge of large-scale distributed systems.
Key Responsibilities
- →Design, develop, and enhance a cloud-hosted SaaS platform, applying knowledge of large-scale distributed systems.
- →Develop production-grade software using Scala, Python, and/or JavaScript; integrate with cloud services, open-source frameworks, third-party APIs, and internal APIs.
- →Participate across the full software development lifecycle (SDLC), including system design, implementation, testing, deployment, monitoring, and ongoing production support.
- →Architect and implement solutions that meet high standards for reliability, scalability, performance, and security in a cloud environment.
- →Collaborate closely with software engineers, product managers, and cross-functional stakeholders to translate requirements into technical solutions.
- →Contribute to Agile development processes, including sprint planning, code reviews, and continuous improvement initiatives.
Requirements
- ✓Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Technology or a related field and two (2) years of software engineering experience.
- ✓Qualifying experience must include one (1) year in object-oriented programming languages including Java, Scala, Javascript, C++ or Python.
- ✓Qualifying experience must also include one (1) year in at least six (6) of the following: Multithreading and asynchronous programming; Agile or Scrum methodologies; Open-source and third party APIs; Microservices-based architectures; Unit and integration testing; Running and maintaining reliable, secure and scalable services; Version control, including Git, XCode, Visual Studio, or IntelliJ; Cloud technologies including AWS, Azure, or GCP; Docker, Kubernetes or similar containerization tools; Databases including SQL, PostgreSQL, MongoDB, or Cassandra; Distributed systems and big data systems, including Apache Spark, Hive, or Hadoop.
