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Senior Software Engineer - MySQL Data Infrastructure

Location

Skillman

Business Area

Engineering and CTO

Ref #

10046724

Description & Requirements

Our financial products rely on petabytes of real-time and historical data. DataHub is Bloomberg’s distributed data platform powering that scale—managing billions of row mutations daily across thousands of MySQL/MyRocks shards. We operate at the intersection of high availability, low latency, and massive scale. Your mission: keep this engine fast, safe, and observable as we double in size.

Our Team

We’re the team that makes Bloomberg’s financial data discoverable, usable, and reliable across the entire company. We organize datasets into structured, schema-evolving, point-in-time-queryable resources, all accessible via a unified API. We run on Kubernetes, automate with Go and Python, and power petabyte-scale analytics with Vitess, Spark, and Kafka. We're a tight-knit group of engineers who contribute upstream, tune clusters across cloud and bare metal, and push the state-of-the-art in database reliability.

What’s in it for you

+ You’ll get to design for scale - millions of events, thousands of shards, zero downtime

+ You’ll work with Vitess, MyRocks, and Kubernetes on production systems across regions

+ You’ll shape the tools and processes that make DataHub’s growth sustainable

+ You’ll have the chance to mentor others while deepening your own systems expertise

We’ll trust you to

+ Design, automate, and operate multi-region Vitess-backed MySQL/MyRocks clusters in Kubernetes

+ Build internal tools in Go or Python for failover, schema changes, and performance testing

+ Harden our CI/CD pipelines and custom K8s operators for infrastructure components

+ Partner with engineers across Bloomberg to scale and standardize data operations

+ Share your expertise on distributed systems, SLOs, and production debugging

You’ll need to have

+ 4+ years of professional software development and/or SRE experience

+ Deep knowledge of MySQL internals, including InnoDB and MyRocks, replication, and backups

+ Strong programming skills in Go and/or Python

+ A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

We’d love to see

+ Contributions to open source projects like MySQL, RocksDB, MyRocks, or Vitess

+ Production experience with Kubernetes (Helm, Operators, CRDs)

+ Familiarity with Kafka, Spark, or lakehouse architectures

+ Experience with Infrastructure-as-Code (Terraform, Ansible, OpenTofu)

+ A passion for reliability, scale, and mentoring others

Salary Range = 160000 - 240000 USD Annually + 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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]