Senior Software Engineering Jobs at Bloomberg with Visa Sponsorship
Senior Software Engineering jobs at Bloomberg sit at the intersection of financial technology and large-scale systems work, covering everything from real-time data infrastructure to distributed trading platforms. Bloomberg has a consistent track record of sponsoring work visas for engineers at this level, including H-1B visa, H-1B1 visa, E-3 visa, and employment-based Green Card pathways.
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Get Access To All JobsINTRODUCTION
Bloomberg Law is changing the legal industry by delivering the most sophisticated legal tech platform on the market with a focus on automation, analytics, and real-time answers, including AI agents that assist legal professionals in complex research and drafting workflows. Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.
The AI Ops engineer will be part of the Platform Engineering group within BLAW that develops and supports cloud native solutions and tools to deploy and operate BLAW products at scale on public cloud (AWS) environments. The team focuses on implementing platform-as-a-service (PaaS) frameworks, tools and workflows to accelerate product development. As an AI Ops engineer at Bloomberg Law, your mission is to design and build reliable and scalable cloud solutions to run diverse workloads on AWS. Our culture of diversity, intellectual curiosity, methodical problem solving and openness in a blameless environment are keys to our success. A good fit for our team is a person who is self-motivated, proactive, a good collaborator and comfortable with ambiguity.
Legal AI is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply!
YOUR ROLE AND RESPONSIBILITIES
-
Work closely with ML Engineers and application engineers responsible for deploying ML models to have a good understanding of their MLOps needs to speed up ML Development.
-
Collaborating with internal AI platform teams to understand availability of internal tools as well as tools available in AWS.
-
Leverage open source tools and building frameworks and components to improve and scale our Serving and ML platform.
-
Be a partner to Application teams and ML Engineers in designing cost and compute-optimal workflows for their use cases.
-
Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed.
-
Build and extend internal agent platforms, including tool orchestration, execution environments, and infrastructure for agentic AI workflows.
-
Provide documentation and templates to make the onboarding the new workflows easy and seamless.
BASIC QUALIFICATIONS
-
4+ years of experience programming in OOP (Java/Python)
-
Proficiency with AWS (EC2, S3, SageMaker)
-
A degree in Computer Science, Engineering or related technology field/Equivalent Experience
PREFERRED QUALIFICATIONS
-
Working knowledge of ML Development Lifecycle, experience in developing MLOps solutions and working with machine learning teams
-
Familiarity of common ML frameworks such as PyTorch, Tensorflow, and Scikit-learn
-
Prior experience with container technologies like Docker, Kubernetes, Buildpacks, etc.
-
Experience with optimizing model performance on CPUs, GPUS (embedded hardware optimization is a plus)
-
Curiosity to solve new problems and keep learning new technologies.
-
Experience with agentic AI architectures and platforms, including agent harnesses, tool orchestration, code execution modes, sandboxed environments, and skill/plugin systems. Familiarity with how agents interact with filesystems, manage context, and chain tools to complete multi-step tasks. Understanding of patterns for building reliable agent workflows such as human-in-the-loop checkpoints, structured output handling, and runtime isolation is a strong plus.
COMPENSATION
- 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.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg Law is changing the legal industry by delivering the most sophisticated legal tech platform on the market with a focus on automation, analytics, and real-time answers, including AI agents that assist legal professionals in complex research and drafting workflows. Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.
The AI Ops engineer will be part of the Platform Engineering group within BLAW that develops and supports cloud native solutions and tools to deploy and operate BLAW products at scale on public cloud (AWS) environments. The team focuses on implementing platform-as-a-service (PaaS) frameworks, tools and workflows to accelerate product development. As an AI Ops engineer at Bloomberg Law, your mission is to design and build reliable and scalable cloud solutions to run diverse workloads on AWS. Our culture of diversity, intellectual curiosity, methodical problem solving and openness in a blameless environment are keys to our success. A good fit for our team is a person who is self-motivated, proactive, a good collaborator and comfortable with ambiguity.
Legal AI is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply!
YOUR ROLE AND RESPONSIBILITIES
-
Work closely with ML Engineers and application engineers responsible for deploying ML models to have a good understanding of their MLOps needs to speed up ML Development.
-
Collaborating with internal AI platform teams to understand availability of internal tools as well as tools available in AWS.
-
Leverage open source tools and building frameworks and components to improve and scale our Serving and ML platform.
-
Be a partner to Application teams and ML Engineers in designing cost and compute-optimal workflows for their use cases.
-
Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed.
-
Build and extend internal agent platforms, including tool orchestration, execution environments, and infrastructure for agentic AI workflows.
-
Provide documentation and templates to make the onboarding the new workflows easy and seamless.
BASIC QUALIFICATIONS
-
4+ years of experience programming in OOP (Java/Python)
-
Proficiency with AWS (EC2, S3, SageMaker)
-
A degree in Computer Science, Engineering or related technology field/Equivalent Experience
PREFERRED QUALIFICATIONS
-
Working knowledge of ML Development Lifecycle, experience in developing MLOps solutions and working with machine learning teams
-
Familiarity of common ML frameworks such as PyTorch, Tensorflow, and Scikit-learn
-
Prior experience with container technologies like Docker, Kubernetes, Buildpacks, etc.
-
Experience with optimizing model performance on CPUs, GPUS (embedded hardware optimization is a plus)
-
Curiosity to solve new problems and keep learning new technologies.
-
Experience with agentic AI architectures and platforms, including agent harnesses, tool orchestration, code execution modes, sandboxed environments, and skill/plugin systems. Familiarity with how agents interact with filesystems, manage context, and chain tools to complete multi-step tasks. Understanding of patterns for building reliable agent workflows such as human-in-the-loop checkpoints, structured output handling, and runtime isolation is a strong plus.
COMPENSATION
- 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.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to 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, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
See all 80+ Senior Software Engineering Jobs at Bloomberg
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs at Bloomberg
Align your portfolio to Bloomberg's core systems
Bloomberg's Senior Software Engineering interviews emphasize distributed systems, low-latency data pipelines, and real-time financial data infrastructure. Before applying, document projects where you built or scaled systems under strict performance constraints. Generic CRUD app experience won't differentiate you here.
Target teams that file E-3 or H-1B1 petitions
Bloomberg sponsors both E-3 visas for Australian citizens and H-1B1 visas for Singaporean and Chilean nationals. These cap-exempt categories process faster than standard H-1B petitions, so identify your visa eligibility early and highlight it explicitly during recruiter conversations.
Browse verified Bloomberg sponsorship roles on Migrate Mate
Use Migrate Mate to filter Senior Software Engineering openings at Bloomberg that are actively tied to visa sponsorship. This saves you from applying to roles where sponsorship isn't available, which is a real risk when using general job boards.
Prepare for Bloomberg's multi-round technical bar
Bloomberg's engineering interviews typically run four to six rounds, including systems design and domain-specific coding assessments. Reaching the offer stage takes time, so if you're on OPT with an expiring authorization date, map your application timeline against your work authorization window before you start.
Clarify PERM sponsorship timing at the offer stage
If you're aiming for an employment-based Green Card, ask during offer negotiation whether Bloomberg will initiate PERM labor certification and at what point in your tenure. PERM timelines at DOL currently run 12 to 18 months before an I-140 can be filed, so early clarity matters.
Get your credential evaluation done before interviews start
Bloomberg's HR team reviews academic credentials as part of the offer verification process. If your degree is from a non-U.S. university, have a NACES-member evaluation agency assess its U.S. equivalency in advance. Delays at this stage can push back your I-129 filing and your start date.
Frequently Asked Questions
Does Bloomberg sponsor H-1B visas for Senior Software Engineers?
Yes, Bloomberg sponsors H-1B visas for Senior Software Engineering roles. Because Bloomberg qualifies as a large employer, it is subject to USCIS cap-subject H-1B registration each spring, with a selection window in March for an October 1 start. If you're already in the U.S. on a valid H-1B with another employer, Bloomberg can file an H-1B transfer petition outside the lottery, which significantly simplifies the process.
Which visa types does Bloomberg commonly sponsor for Senior Software Engineering roles?
Bloomberg sponsors H-1B, H-1B1 visa, and E-3 visas for Senior Software Engineering positions, along with employment-based immigrant visa pathways including EB-2 and EB-3. Australian citizens are eligible for the E-3 category, which has no lottery and processes through a consular interview. Singaporean and Chilean nationals may qualify for the H-1B1. Each category has different filing procedures, so identifying which applies to you before the offer stage saves significant time.
What qualifications does Bloomberg expect for Senior Software Engineering roles?
Bloomberg's Senior Software Engineering positions typically require a bachelor's degree or higher in computer science, engineering, or a closely related field, along with substantial industry experience building high-performance or distributed systems. Proficiency in C++ is frequently listed for core infrastructure roles. Candidates without a directly matching degree may be evaluated on demonstrated systems experience, though a credential evaluation from a NACES-member agency strengthens your sponsorship petition if your degree is from outside the U.S.
How do I apply for Senior Software Engineering jobs at Bloomberg?
Start by browsing open Senior Software Engineering roles at Bloomberg on Migrate Mate, which filters specifically for positions where visa sponsorship is available. Once you identify a role, apply through Bloomberg's careers portal and signal your visa status clearly in any recruiter outreach. Bloomberg's interview process runs multiple technical rounds, so expect a timeline of four to eight weeks from application to offer, with additional time for the visa filing process after that.
How do I think about timing if I'm on OPT and targeting a Bloomberg offer?
If you're on F-1 OPT, you need your Bloomberg offer confirmed and an H-1B petition filed with USCIS before your OPT expires. STEM OPT extensions give eligible graduates up to 24 additional months, which provides more runway for the H-1B lottery cycle. If you miss one lottery cycle, a STEM extension can bridge the gap. Confirm your OPT end date and any STEM extension eligibility with your designated school official before you begin the interview process.