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Remote Bloomberg Software Engineer Jobs in Colorado

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We are seeking a Senior Software Engineer to design, build, deploy, monitor ...

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We are seeking a Senior Software Engineer to design, build, deploy, monitor ...

Principal Software Engineer

Broomfield, CO · On-site +1

$225K - $270K/yr

Denver, CO preferred (Hybrid) | Open to remote with quarterly travel About FusionAuth FusionAuth is ... Experience: 12+ years of professional software engineering, including 5+ years focused on identity ...

Staff Software Engineer

Denver, CO · On-site

$224K - $264K/yr

As a Staff Engineer on the Integrations team, you'll drive the technical architecture of complex ... If this role is remote, we have listed the top to the bottom of the possible range, but we will ...

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Remote Bloomberg Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Bloomberg Software Engineer, and why are they important?

To thrive as a Remote Bloomberg Software Engineer, you need strong programming skills (such as Python, C++, or Java), a solid understanding of computer science fundamentals, and typically a degree in Computer Science or related field. Familiarity with Bloomberg's proprietary systems, distributed computing, cloud technologies, and Agile development tools is highly valued, as is experience with CI/CD pipelines. Excellent problem-solving abilities, remote communication skills, and self-motivation distinguish top engineers in this role. These competencies ensure the delivery of robust, scalable financial software solutions and effective collaboration in a distributed work environment.

What does a Remote Bloomberg Software Engineer do?

A Remote Bloomberg Software Engineer is responsible for designing, developing, and maintaining software solutions for Bloomberg's financial products and services while working from a remote location. They collaborate with team members, write code, debug issues, and ensure the software meets high standards for reliability and performance. This role often involves working with large data sets, real-time systems, and financial technology platforms. Remote engineers use various programming languages and tools to build scalable and secure applications that serve Bloomberg’s global client base.

How does a Remote Bloomberg Software Engineer collaborate effectively with global teams and stakeholders?

As a Remote Bloomberg Software Engineer, collaboration with global teams is facilitated through a mix of synchronous and asynchronous communication tools such as Slack, video conferencing, and internal documentation platforms. You'll often participate in agile ceremonies, code reviews, and pair programming sessions with colleagues across different time zones. Effective communication, proactive updates, and adaptability to diverse work styles are key to overcoming challenges in remote teamwork. Building strong relationships with product managers, QA engineers, and other developers is essential for delivering robust, client-focused solutions.

What is the difference between Remote Bloomberg Software Engineer vs Remote Bloomberg Data Analyst?

AspectRemote Bloomberg Software EngineerRemote Bloomberg Data Analyst
Required CredentialsComputer Science degree, coding skills (Java, C++, Python)Statistics, data analysis, SQL proficiency
Work EnvironmentDeveloping software, coding, debuggingData interpretation, reporting, data management
Employer & Industry UsageFinancial services, technology teams at BloombergFinancial data, market analysis teams at Bloomberg

While both roles work within Bloomberg's financial ecosystem, Remote Bloomberg Software Engineers focus on building and maintaining software applications, requiring coding expertise. In contrast, Remote Bloomberg Data Analysts analyze financial data to generate insights, emphasizing statistical and analytical skills. Both roles are essential in supporting Bloomberg's financial services, but they differ in daily tasks and skill sets.

What are the most commonly searched types of Bloomberg Software Engineer jobs in Colorado? The most popular types of Bloomberg Software Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Bloomberg Software Engineer jobs? Cities in Colorado with the most Remote Bloomberg Software Engineer job openings:

Systems Software Engineer - Object Storage

Quantum US

Englewood, CO • Remote

$130K - $170K/yr

Full-time

Posted 12 days ago


Job description

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate, protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO). For more information, visit www.quantum.com.

We are seeking a Senior Object Storage Software Engineer to design, implement, and optimize the object storage data path and core distributed services of our scale-out object storage platform. You will own software from the moment an object request hits the network interface through request processing, metadata operations, data placement, and durable persistence across the cluster.

This is a deep systems role for engineers passionate about low-latency code paths, high concurrency, and distributed systems correctness at scale.

Key Responsibilities
Object Storage Data Path

  • Design and optimize the object request pipeline for PUT/GET/DELETE and background operations, focusing on predictable latency, high throughput, and efficient CPU/memory usage in the critical path.
  • Build and maintain data path components such as request parsing/validation, routing, throttling, buffering, streaming I/O, and zero-copy / reduced-copy transfers where applicable.
  • Implement and tune distributed caching (read cache / metadata cache) and request coalescing strategies to reduce backend amplification and improve tail latency.
  • Identify and eliminate bottlenecks end-to-end (network → CPU → storage), leveraging deep Linux profiling and systems debugging skills.

Core Object Services & Distributed Architecture

  • Architect and evolve scale-out services for object metadata, namespace/indexing, placement, and cluster membership/state required for large clusters.
  • Design and maintain scalable, high-performance components such as metadata management and data placement algorithms across multi-node deployments.

Durability, Integrity & Resilience

  • Implement and maintain durability features such as erasure coding, replication, background healing, snapshots (where applicable), thin provisioning concepts, and data scrubbing to deliver “six nines” class durability.
  • Ensure correctness under failures: node loss, disk faults, partial writes, network partitions, and rolling upgrades—without compromising data integrity.

Concurrency, Locking & Correctness

  • Solve high-concurrency challenges in the object and metadata paths using robust synchronization strategies, lock minimization, and asynchronous execution models to maximize multi-core CPU utilization.
  • Apply careful correctness reasoning around ordering, idempotency, and race conditions in distributed request flows.

Scalability & Cluster Operations

  • Ensure the object data path and background systems scale linearly as nodes are added, including rebalancing and reconstruction workflows that minimize customer-visible impact.
  • Collaborate cross-functionally to integrate other platform components into the solution and operate effectively with remote teams.

Required Qualifications

  • 12+ years of software development experience using C/C++, Rust (or equivalent systems-level expertise).
  • Strong experience with distributed systems and high-performance storage software design.
  • Strong Linux experience, including debugging, profiling, and performance analysis of complex systems.
  • Solid understanding of concurrency, locking, and asynchronous programming models.
  • Strong communication skills; ability to collaborate in a team environment and across functions; ability to work effectively with remote teams.
  • Self-motivated, able to identify and solve problems independently, creative problem-solving mindset.
  • Willing and able to come to our office in Centennial, CO during core business hours (Tuesday - Thursday 10am-4pm).

Preferred / Nice-to-Have Skills

  • Experience with the Linux I/O subsystem and networking (plus).
  • Experience with storage protocols, clustering design and development (plus).
  • Experience with containers and Kubernetes (plus).
  • Experience using Git and Jira.
  • Experience with Amazon AWS S3 API, SDK’s & Tools.
  • Experience with AI tools or programming is a plus (especially for modern data pipelines and workload integration).

Quantum provides a diverse portfolio of health plans for medical and prescription, dental, vision, life, disability, and supplemental medical insurance options. We also support our team members’ efforts to develop and maintain a healthy lifestyle through reimbursement and educational programs. Quantum offers a company-matched 401(k) plan to help employees save for retirement in a tax-advantaged way. We also have an Employee Stock Purchase Program for purchasing Quantum stock at a discounted rate.

Anticipated Salary Range: $130,000 to $170,000 for qualified applicants.

The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations.

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