Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 4
AWS @ 4
Algorithms @ 7
Azure @ 4
Communication @ 6
Compliance @ 4
Data Structures @ 7
Distributed Systems @ 7
Go @ 7
Java @ 7
Kubernetes @ 4
Linux @ 7
Networking @ 4
Observability @ 4
Python @ 7
SRE @ 4
Security @ 4
Terraform @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Public Cloud Engineering organization provides the foundational platforms, services, and guardrails that enable Bloomberg's use of public cloud technologies. Areas include security, governance, identity, networking, observability, deployment, and compute.
Engineers may work in one or more of the following domains: Cloud Adoption & Governance; Compute Platforms; Compute Deployment; Networking & Connectivity Platform; and Identity & Access Platform. Teams collaborate closely to deliver a cohesive cloud experience for Bloomberg's engineering community.
Responsibilities
- Design, build, and operate scalable platform capabilities that enable Bloomberg's adoption of public cloud technologies.
- Develop self-service tooling, APIs, automation, and workflows that improve developer experience and reduce operational complexity.
- Partner with engineering, security, SRE, and infrastructure teams to understand requirements and drive platform adoption.
- Build reliable, secure, and maintainable solutions within the assigned platform domain.
- Use software engineering and infrastructure-as-code practices to automate platform operations and improve service quality.
- Help define standards, best practices, and paved-road experiences for engineering teams building on public cloud.
- Contribute to the architecture, implementation, and long-term evolution of Bloomberg's public cloud platforms.
- Work on foundational platforms supporting cloud infrastructure, software engineering, security, networking, identity, and reliability at enterprise scale.
Requirements
- 4+ years of professional experience in software engineering, infrastructure engineering, site reliability engineering, or platform engineering.
- Strong programming skills in one or more modern programming languages, such as Go, Python, Java, or C++.
- Experience designing, building, or operating production systems at scale.
- Strong Linux/Unix fundamentals.
- Experience with one or more public cloud providers, including AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with infrastructure automation and Infrastructure-as-Code technologies such as Terraform.
- Strong understanding of software engineering principles, distributed systems, data structures, and algorithms.
- Excellent communication and collaboration skills.
- Ability to identify opportunities for automation and drive solutions from design through implementation.
- Strong sense of ownership and desire to solve complex technical problems.
Preferred Qualifications
- Experience building internal developer platforms, cloud platforms, or self-service engineering capabilities.
- Experience with cloud governance, security, compliance automation, identity and access management, secrets or certificate management, cloud networking, hybrid connectivity, network automation, compute platforms, runtime environments, workload orchestration, software supply chain security, trusted deployment systems, observability, telemetry, reliability engineering, incident management, platform APIs, orchestration systems, or developer tooling.
- Experience with Kubernetes and cloud-native technologies.
- Experience building highly available, distributed systems.
- Experience contributing to shared platforms used by multiple engineering teams.
- Experience working in large-scale enterprise or regulated environments.
- Contributions to open-source software or cloud-native communities.
Compensation And Benefits
- Salary range: $160,000-$240,000 USD annually.
- Benefits and bonus may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) match, life insurance, and wellness programs.
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