DevOps Engineer
1 week ago
Job Description :
Roles & Responsibilities :
- Your role will focus on leading the development efforts of the Kafka-as-a-Service platform on top of Confluent Cloud.
- You will help drive technical decision-making, particularly regarding operations and the platform's architectural direction.
- You'll help solve problems related to building a global Kafka architecture considering scalability, replication, schema registries and self-service IaC workflows to solve for different use cases such as high traffic telemetry (logs & metrics), business critical events and data processing.
- As an expert in your area, you will help set the tone for how your team operates.
- You'll emphasize modern, rigorous software development practices that emphasize testability, repeatability, and self-service automation.
- You'll conduct code reviews and mentor more junior developers.
- You'll openly collaborate with other teams' leads and help raise the bar of engineering excellence across the entire organization.
What to Bring :
- Bachelor's degree with 9 - 13 years of experience as a software developer.
- You bring passion and enthusiasm to your engineering team.
- You have a track record of shipping quality code to production on a frequent and consistent -basis.
- You thrive under minimal supervision with the ability to self-motivate and self-organize within the organizational structure.
- You have experience running production infrastructure that supports multiple systems in a scalable, stable, and performant manner.
- You measure everything, make decisions based on data, are consumer-obsessed, and take immense pride in your work.
The ideal candidate for this role will have a wide breadth of experience across the entire software stack, as well as deep subject matter expertise in at least one technology from each of the following groups :
- Operating Kafka at scale (we use Confluent Cloud).
- Cloud Infrastructure Automation (AWS strongly preferred with Terraform).
- Database design (e. Postgres, NoSQL, etc).
- Data Processing (e. Hadoop, Big Table, Spark, Redshift).
Software Development :
- Distributed Systems Development (e. asynchronous communication patterns, consensus algorithms, distributed transactions).
- Programming (e. Go-lang, Java, Kotlin, Scala, Python, Ruby).
- Event Driven Architecture & Streaming Frameworks (e. Kafka Streams).
Your Technical Know-How :
In addition, your technical expertise should match well to the following :
- Experience leading the development of large-scale projects, e.breaking down tasks, delegating work, assisting in the creation of roadmaps and work back plans.
- Deep understanding of distributed systems in Kubernetes.
- Hands-on experience with multiple IaC tools.
- Experience with some of the frameworks and tools our development teams use day to day (i.e Spring Boot, Kafka Streams).
- Experience with the development and operation of high throughput, low-latency systems.
- Hands-on experience with automating development workflow pipelines (CI/CD).
- Operational experience (i.on-call rotation, incident response).
- Ability to collaborate effectively with remote peers across disparate geographies and time zones.
- Excellent written and verbal communication skills with particular emphasis on technical documentation (including diagramming).
- Strong CS fundamentals
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