Description & Requirements
Senior Software Engineer - Platform Engineering
Description & Requirements
Bloomberg’s products and services depend on the safe, reliable movement of application traffic across different environments. Our team builds the platform that manages how our infrastructure is deployed, configured, validated, monitored, and operated, playing a critical role in enabling and monitoring connectivity across diverse system zones. This is an end to end ownership role. The team owns both the software platform and the underlying infrastructure it manages. As the platform matures, we will continue to operate these production services while making them safer, more automated, and easier to manage over time.
We are building the Dublin team that will own this platform going forward, and this is a rare opportunity to join at an early stage of both the team and the office’s growth. You will be part of establishing a new engineering presence for a critical platform within a rapidly growing Dublin office, helping define how the team works, how the system evolves, and how we scale the technology around it. Joining now means shaping the engineering standards, architecture, and operating model for a platform that will be foundational for years to come.
You do not need to join as a specialised systems expert. We are looking for senior software engineers who enjoy building reliable infrastructure platforms, can reason carefully about production systems, and are willing to learn our domain on the job. If you enjoy building infrastructure as code, deployment workflows, validation systems, and automation for complex production environments, this role should feel familiar even if the specific domain is new to you.
This is a strong fit for engineers who want to build platform software that has real production impact, supporting teams across Bloomberg and ultimately enabling the reliable, secure connectivity that Bloomberg’s clients depend on in real world markets every day.
Technologies We Use
Our platform is built using Bloomberg’s internal engineering ecosystem and production infrastructure tooling, including:
Python
Go
KVM based virtualization on Red Hat Enterprise Linux
Observability platforms such as Humio, Splunk, and Grafana
We’ll trust you to
Design and build software systems that manages infrastructure safely at scale.
Build deployment, configuration, validation, and observability platforms for production infrastructure.
Build systems that add safety, automation, and strong controls around change management, making changes easier to review, validate, and roll back while reducing reliance on manual operator steps.
Improve telemetry, alerting, and health checks so issues are easier to detect and diagnose.
Operate the production infrastructure your systems manage, with support from the team and clear escalation paths.
Participate in an on call rotation for production infrastructure.
Work with internal users and partner teams to understand requirements, explain constraints, and deliver supportable platform solutions.
Review your own code and others’ code carefully, with high standards for correctness, design quality, test coverage, maintainability, and operational safety.
Challenge assumptions and help shape the architecture and operating model as the platform evolves.
You’ll need to have
Strong software engineering experience in a functional or object oriented programming language. Python and Go are helpful, but strong engineering judgment matters far more than a specific language background.
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.
Strong written, verbal, and diagram based communication skills.
High standards for code authorship and review, including careful review of your own changes and others’ code for correctness, design quality, test coverage, and long term maintainability.
We’d love to see
Experience building deployment platforms, orchestration systems, infrastructure as code workflows, or internal developer and operator tooling.
Experience with observability tools such as Splunk, Grafana, Humio, Prometheus, or similar.
Experience designing safe rollout, validation, rollback, or automated remediation workflows.
Experience supporting internal users with diverse requirements while maintaining clear platform standards.
Familiarity with Linux infrastructure and virtualization.
Interest in mentoring others and raising the engineering maturity of a team.
Note: Years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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