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Confluent provides the streaming platform that enables enterprises to maximize the value of data.

Software Engineer, Cloud Analytics [Remote - AMER]
Mountain View, CA, US
Job Description / Skills Required

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
Confluent’s infrastructure org includes a small sub-team focused strictly on understanding, reporting, and lowering our public cloud provider costs.  Cost engineering subsystems offer insight into infrastrastructure analytics and regular reporting which further breaks down this information into actionable business data.
These insights are also used to drive architectural improvements across the platform on all engineering teams, giving this team a unique ability to impact the business directly and learn about all facets of Confluent cloud engineering.

Who You Are:

    • Smart, humble, and empathetic
    • Have a strong sense of ownership and put team’s and company’s interests first
    • Driven and excited about challenges of a fast-paced, innovative software startup environment
    • Good team player who is not shy to reach out to other teams and collaborate on solving problems

About the Role:

    • Develop services in golang and python that regularly capture infrastructure details into our data warehouse
    • Work directly with all three major cloud provider APIs to tag resources programmatically based on rich context available within the rest of the cloud platform
    • Work with other engineering teams to ensure cost-optimal architectures
    • Work closely with business and data teams to ensure dashboards and alerts give the business the data they need to understand product costs and margins

What We Are Looking For:

    • BS, MS, or PhD in Computer Science or a related field, or equivalent work experience
    • 4+ years industry experience designing, building, operating and supporting large-scale systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation
    • Strong fundamentals in distributed systems design and development
    • Proficiency in Go or Python
    • Working knowledge of Docker, Kubernetes, Terraform or CloudFormation 
    • Hands-on exposure to Kubernetes operators, Helm or StatefulSets
    • Familiarity with AWS, GCP or Azure cloud environments and technologies
    • Experience building APIs, both RESTful and gRPC/Thrift based
    • Strong analytical and debugging skills, familiarity with OpenCensus or OpenTracing
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.