Job Description
- As a Software Engineer, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.
- You will be responsible for driving technical advocacy, building user/developer community, and influencing service owner on critical Observability platform capabilities increasing their productivity and effectiveness by sharing deep knowledge and best practices.
- You are able to engage the team members at various levels on coding practices, architecture, design and get under the hood of complex integrated architectures, coding systems, and interface design.
- You will drive strategic change in tools and process by keeping up with the latest industry research and emerging technologies to ensure we are appropriately leveraging new techniques and capabilities.
- Consistently question assumptions, challenge the status quo, and strive for improvement.
- Champion data governance adoption and ensure the new modern architecture is designed with scalability and longevity in mind.
- You will work on distributed, high-performance observability data pipeline to collect, transform and route logs, metrics and traces to various storage solution.
- You will use Apache Beam SDKs to create data processing pipelines, including read transform, processing transforms, and outputs.
- Design, develop, and implement end-to-end data pipeline solutions that transform and process terabytes of structured and unstructured data in real-time, scaling across a growing number of data sources
- You will build an even driven system that utilizes data messaging technologies for streaming analytics and data integration pipelines to ingest and distribute data.
- You will work on various cloud orchestration (terraform) and configuration management (puppet, Ansible) technologies to ensure efficient deployment of observability solution in Kubernetes Clusters in GCP, Bare-Metal and other deployment targets.
- Improve the reliability, latency, availability, and scalability of observability solutions in all areas of logging, metrics, alerting and distributed tracing.
- 4+ years of Software Engineering experience building and maintaining Petabyte Scale Data Platforms.
- Bachelor’s Degree in Computer Science, Compute Engineering, or related technical field.
- Good understanding of distributed data processing and management frameworks (like Apache Spark, Apache Beam, Apache Flink etc) deployed in managed services like GCP dataflow.
- Experience building and running observability infrastructure on a large scale in the areas of logging using technologies like splunk, big query / search, metrics with wavefront/prometheus and distributed tracing with open telemetry.
- Experience with containerization technologies(e.g, Docker, Kubernetes) , cloud orchestration technologies( e.g, terraform), data messaging technologies (e.g., GCP PubSub, Kafka) and configuration management/software delivery platforms (e.g, Puppet, Chef, Ansible)
- Advanced experience in writing software in Object-Oriented Languages, preferably Java, Scala, Go or rust.
BENEFITS
- Visit this webpage to check out all of our exciting healthcare benefits: https://join.collectivehealth.com/box
- For all other benefits, please check out: Box Benefits + Perks
Date Posted
10/28/2022
Views
6
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