Job Description

As a Software Engineer on the Data Infrastructure team, you’ll build and enhance the platforms and tooling that empower developers across 6sense. Our team enables critical engineering, product, and analytics functions by providing a scalable, reliable, and efficient data platform. We manage and optimize systems such as our data warehouse, batch compute infrastructure, data orchestration, data lake, and key integrations.

Our client is looking for engineers who love writing resilient, maintainable code and thrive on solving complex infrastructure challenges. Your work will focus on automating and streamlining our data platform, improving developer experience, and ensuring our systems are both performant and scalable.

Must Haves:

• BS/MS in Computer Science, or related fields
• Proven hands-on experience in distributed systems
• Solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
• Strong coding skills and hands on experience in Python and SQL.

Plusses:

• Experience operating and managing data platform technologies like MySQL, MongoDB, Trino, Hive, Kafka, ElasticSearch, Ranger, and Redis. Working experience of SingleStore (memsql) DB is a huge plus.
• Experience with the Hadoop framework is a big plus!
• Experience managing and automating Kubernetes clusters and workloads
• Excellent communication skills, both written and oral.
• Experience with test-driven development, continuous integration, and continuous deployment processes
• Experience with infrastructure as code frameworks and tools such as Terraform, Pulumi, Helm, and/or AWS CDK
• Experience with SQL performance tuning. NoSQL performance tuning is a plus.
• Experience with Linux systems administration, package management, and operations
• or cross-browser testing and the ability to run tests at scale.
• Experience with Playwright

Responsibilities:

• Contribute to the establishment of a scalable and performant data platform. Ensure that the platform seamlessly integrates with existing technologies.
• Tackle obscure scalability and performance challenges by providing solutions that help meet growing demands.
• Create reusable and maintainable components that reduce the cognitive load on developers who interact with the data platform.
• Write secure, well-documented automations, APIs, and tooling that help stakeholders interact with our data platform.

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