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Remote Bloomberg Software Engineer Jobs in Toronto, ON

PointClickCare

Software Engineering Manager

Mississauga, ON · Remote

CA$156K - CA$174K/yr

For Remote Roles : If this role is remote, there will be in-office events that will require travel ... Demonstrated technical expertise equivalent to a Senior Software Engineer , with handson experience ...

Pigment

Senior Backend Software Engineer

Toronto, ON · On-site +1

CA$100K - CA$180K/yr

Join our Blocks team as a Software Engineer and play a critical role in shaping the core ... While most team members are based in Paris or remote, you will work alongside one Toronto-based ...

Manulife

Mobile Software Engineer iOS

Toronto, ON · On-site +1

CA$86K - CA$136K/yr

As a Mobile Software Engineer, iOS, you will design and deliver accessible, user-centered mobile ... with remote services and APIs * 1+ years of experience developing user interfaces using SwiftUI

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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?

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 Toronto, ON?

The most popular types of Bloomberg Software Engineer jobs in Toronto, ON are:

What are popular job titles related to Remote Bloomberg Software Engineer jobs in Toronto, ON?

For Remote Bloomberg Software Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Bloomberg Software Engineer jobs in Toronto, ON look for?

The top searched job categories for Remote Bloomberg Software Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Bloomberg Software Engineer jobs?

Cities near Toronto, ON with the most Remote Bloomberg Software Engineer job openings:

Remote Bloomberg Software Engineer jobs near you
Infographic showing various Remote Bloomberg Software Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Staff Software Engineer, Modeling Platform

CaptivateIQ

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description


CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures, we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.

About the Role

The Modeling Platform team is the backbone of every product in CaptivateIQ's modeling suite and sits at the core of CaptivateIQ's multi-year product strategy. This team is a force multiplier - the components, interfaces, and infrastructure it builds are what let every product engineering team ship modeling experiences fast, without re-solving foundational problems each time.

The team's surface area spans service-layer APIs, a modeling SDK, and extensible frontend components - and our goal is to evolve this into a self-service framework: simple enough to ship new modeling products at a fraction of today's build time, reliable enough that product teams don't think about the plumbing, and opinionated enough that they aren't re-solving the same problems every iteration. We're also building this as an AI-native platform, with first-class access and support for AI agents to build alongside human engineers.

We're looking for a Staff Software Engineer to own the technical direction of that evolution - a technical leader with strong engineering chops who embodies CaptivateIQ's values of ownership, bias toward action, and delivering real impact. You'll set the architectural direction for how the platform evolves, drive the multi-year technical strategy (with your EM and senior EPD leadership as partners, not gatekeepers), and make the tradeoffs that determine how product teams build on top of it.

It's a highly collaborative role - you'll work daily with cross-functional partners (Product, Design, EM) and with the product engineering teams building on the platform. You'll also partner closely with the SmartGrid team - CaptivateIQ's proprietary DAG-based computation engine that powers the framework underneath - helping shape architectural direction for the Modeling Platform Pillar as a whole. You'll drive technical alignment across teams, and invest deeply in coaching and developing engineers toward senior and staff-level impact.

Job Location
Remote - US
Responsibilities

  • Own the technical direction of the modeling platform's framework and SDK layer, partnering closely with the SmartGrid team on the underlying computation engine

  • Own and evolve the platform's framework, SDK, and interfaces - including agentic/tool-based interfaces for AI consumers - turning today's API surface into a self-service framework with the extensibility points that let internal teams build modeling products fast

  • Make the platform-level tradeoffs that shape it: what belongs in the framework vs. a product team's responsibility, build vs. buy, refactor vs. patch, flexibility vs. opinionated speed

  • Operate with high ownership and autonomy - drive ambiguous or contested decisions forward by pulling in the right stakeholders early rather than letting them stall, and own the outcomes months later, good or bad

  • Set the multi-year technical strategy for the modeling platform, in partnership with your EM, PM, Design, and senior EPD leadership

  • Drive technical alignment across teams - build the credibility and relationships that align consuming product teams around the platform's roadmap

  • Stay hands-on as a backend-primary fullstack engineer - the platform spans backend APIs, SDKs, and the frontend components product teams extend and build modeling experiences on top of

  • Grow and develop engineers on the team - coach toward senior and staff-level impact, set the technical bar through design leadership and review standards, and provide architectural guidance that scales beyond your own output

Requirements

  • 8+ years of professional software engineering experience with progression into staff-level technical leadership

  • Strong Python fundamentals with production experience in Django or similar Python web frameworks

  • Demonstrated experience owning a platform or framework layer - not just a service - that multiple internal teams built on top of

  • Strong backend engineering foundation with hands-on experience building frontend components that other engineering teams consume, extend, and build on top of

  • Track record of setting multi-year technical strategy for a platform or major system, with evidence of the strategy shipping and delivering impact

  • Track record of growing engineers to the next level - mentoring, coaching, and leading their technical development toward senior and staff-level impact

Bonus

  • Familiarity with Go, for collaboration with the SmartGrid computation engine team

  • Experience designing interfaces for AI agent consumption - tool-use schemas, MCP-style protocols, structured function-calling interfaces

  • Familiarity with columnar data formats (Apache Arrow, Parquet) and OLAP storage engines (ClickHouse, DuckDB, or similar)

  • Working knowledge of DAG-based or dependency-graph-driven computation systems

  • Experience designing SDKs or self-service developer platforms consumed by multiple internal teams

  • Experience at a B2B SaaS company during periods of significant growth or platform expansion

  • Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains

Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates
Only emails from @captivateiq.com should be trusted.
 
We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet.
 
Please note, we will never do the following:
 
  • Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
$181,289 - $250,239 a year
The base range represents the minimum and maximum for this position across North America. For candidates in Toronto, Canada the range is $181,289-$209,202. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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