ENG Cloud Native Compute Services Platform owns an ecosystem of shared components and services that are used to build managed multi-tenant platforms on Kubernetes. These components are known as Managed Compute and collectively they provide the foundation to build self-service platforms such as the Data Science Platform (AI workloads), Spark, Streaming (Flink), Workflows (Argo) and soon Bloomberg's Platform as a Service.

Our infrastructure is built in Go, runs on Kubernetes and empowers such core capabilities like setting up tenant environments, authentication & access control, resource deployment and consistent user experience through a shared set of cloud native infrastructure design patterns.

Our services are built entirely on open source (e.g. Kubernetes, Karmada, Docker, Istio, OPA Agent) and we are deeply involved in building Cloud Native solutions that power runtime platforms that are collectively known as the Bloomberg Data Science Platform. While working on the platform, the backbone for many of Bloomberg's up and coming AI products, you will have the opportunity to collaborate with engineers across Cloud Native Compute Systems (CNCS) and AI organizations and also contribute to open source. If you are a software engineer who is passionate about building resilient, highly available infrastructure and seamless, usable full stack solutions, we'd like to talk to you about an opening on our team.

Examples of recent and upcoming projects:

Managed Karmada multi-cluster orchestration and federation for CNCS Runtimes based on CNCF Karmada
Unified UI for all of our Cloud Native Compute Services runtimes including BPaaS (Stateless BAS and HTTP containers), SPaaS (Apache Flink), Workflows (Argo), Spark, DSP and more. This UI will allow our 1000s of users to onboard, configure, deploy, operate and debug applications across all CNCS Runtimes
Platform Capabilities API which provides discovery into user’s capabilities in Kubernetes Compute Runtime environments
BDGT integration and Self Service UI that performs allocation of quota into Kubernetes Runtime Clusters
Platform Resource Metrics API which provides insights into current capacity and usage of Runtime Cloud environments

We are developing and scaling the product quickly and have interesting challenges to solve while building infrastructure across Kubernetes APIs, resource management as well as security and observability stack.

We’ll trust you to:

Implement infrastructure features using Go, Kubernetes services and other open source technologies
Iterate quickly as we grow the product
Collaborate extensively with other engineering teams and the CTO office
Foster a technically outstanding, welcoming and collaborative working environment
Treat security and automation as first-class features

You'll need to have:

4+ years working with an object-oriented programming language (Go, C++, Python, Java, etc.)
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
Good communication skills to interact well both within and outside your team (stakeholders/customers/users) and discuss ideas and solutions with clarity
Self-motivation to identify problems and provide solutions independently
A curiosity about how things work and desire to continuously learn and improve while sharing knowledge with others
Experience operating infrastructure in production
Hands-on software engineering or SRE experience
Strong desire to learn and build infrastructure in Cloud native environment using Golang and Kubernetes ecosystem

We’d love to see:

Experience building and scaling container-based systems using Kubernetes
A passion for providing reliable and scalable enterprise-wide infrastructure
Experience with authentication and IAM
Experience building and operating Software as a Service (SaaS) or Platform as a Service (PaaS) products

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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Bloomberg

Senior Software Engineer - CNCS Platform

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Bloomberg

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