Senior Software Engineer - Platform Engineering

Bloomberg L.P.
New York, NY, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$160,000.0 - $240,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Computing Platforms Software Quality System Configuration Continuous Integration Software Debugging Python (Programming Language) Enterprise Messaging Systems Object-Oriented Software Development Software Engineering Software Systems Model-Driven Development
+8 more
Grafana Build Management Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Functional Programming Splunk

Job description

Bloomberg operates critical production infrastructure that supports products and services used by clients around the world. Our team builds the software platforms and automation that allow this infrastructure to be provisioned, configured, validated, monitored, and operated safely at scale.

We are modernizing operator-driven processes into reliable and repeatable software workflows. Our work includes infrastructure-as-code, deployment and configuration systems, automated validation, observability, capacity management, rollback tooling, and operational workflows.

This is an end-to-end ownership role. You will design and build software platforms while also helping operate the production services those platforms manage. You will work on complex systems where correctness, reliability, scalability, and operational safety are essential.

We are looking for senior software engineers who enjoy building infrastructure platforms, can reason carefully about production systems, and are comfortable learning new technical domains. Deep experience with the underlying infrastructure is not required. Strong software engineering fundamentals, sound technical judgment, and experience building reliable automation are more important.

This is an opportunity for engineers who want to build platform software with meaningful production impact, improve how infrastructure changes are delivered, and help shape the engineering standards and architecture for a critical internal platform.

Technologies We Use:

Our platforms use Bloomberg’s internal engineering ecosystem and production infrastructure tooling, including:

  • Python
  • Infrastructure automation and orchestration frameworks
  • Infrastructure-as-code and model-driven configuration
  • Observability platforms such as Humio, Splunk, and Grafana
  • Continuous integration and deployment systems
  • Bloomberg internal deployment, configuration, and infrastructure management tooling

We’ll trust you to:

  • Design and build software systems that manage critical production infrastructure safely at scale.
  • Build automated deployment, configuration, validation, and observability workflows.
  • Improve the reliability, operability, and performance of the platform and the services it manages.
  • Reduce manual processes through well-tested automation, clear production signals, and safe rollback capabilities.
  • Work with internal users and partner teams to deliver practical, supportable platform solutions.
  • Help shape the platform’s architecture, engineering standards, and operating model while mentoring other engineers.

Requirements

  • Strong software engineering experience in an object-oriented or functional programming language.
  • Experience building, testing, debugging, and operating production software or infrastructure platforms.
  • Ability to reason through ambiguous technical problems, evaluate tradeoffs, and make sound design decisions.
  • High standards for code quality, testing, maintainability, and operational safety.
  • Strong written and verbal communication skills.
  • A degree in Computer Science, Engineering, Mathematics, a similar field, or equivalent work experience.

We’d love to see:

  • Experience building automation, orchestration, infrastructure-as-code, or internal platform tooling.
  • Experience designing deployment, validation, rollback, or automated remediation workflows.
  • Experience with observability platforms such as Splunk, Grafana, or Humio.
  • Familiarity with APIs, messaging systems, or large-scale production infrastructure.
  • Interest in mentoring others and improving the engineering maturity of a team.

Benefits & conditions

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.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · WWC 2021

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · WWC 2022

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · WWC 2022

1:04 min

Visualizing Keycloak performance via standard Grafana troubleshooting dashboards

Alexander Schwartz Alexander Schwartz · WWC 2025

Videos

See all

Related articles

See all