Senior Software Developer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for senior software developer visa sponsorship, driven by a dense concentration of tech employers across Greater Boston, Cambridge, and the Route 128 corridor. Companies like HubSpot, Wayfair, MathWorks, and dozens of biotech and fintech firms regularly sponsor H-1B visa and other work visas for experienced software engineers.
Find Senior Software Developer JobsOverview
Showing 5 of 218+ Senior Software Developer Jobs in Massachusetts with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 218+ Senior Software Developer Jobs in Massachusetts with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Developer Jobs in Massachusetts with Visa Sponsorship.
Get Access To All JobsYour Impact at LILA
Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!
About The Team
The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.
What You'll Be Building
- Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.
- Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
- Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
- Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
- Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.
What You'll Need To Succeed
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5-8+ years of engineering experience building and deploying large-scale backend systems in production.
- Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
- Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).
- Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
- Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic).
- Hands-on experience using AI coding assistants to drive productivity is required.
- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
- Problem Solving: Proven ability to deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability.
Bonus Points For
- Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
- Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
- Experience with laboratory devices, robotics, or hardware.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$144,000 - $288,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Your Impact at LILA
Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!
About The Team
The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.
What You'll Be Building
- Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.
- Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
- Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
- Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
- Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.
What You'll Need To Succeed
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5-8+ years of engineering experience building and deploying large-scale backend systems in production.
- Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
- Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).
- Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
- Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic).
- Hands-on experience using AI coding assistants to drive productivity is required.
- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
- Problem Solving: Proven ability to deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability.
Bonus Points For
- Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
- Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
- Experience with laboratory devices, robotics, or hardware.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$144,000 - $288,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Senior Software Developer Job Roles in Massachusetts
See all 218+ Senior Software Developer Jobs in Massachusetts
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior Software Developer Jobs in MassachusettsSenior Software Developer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for senior software developers in Massachusetts?
Several large and mid-size employers in Massachusetts have consistent H-1B sponsorship histories for senior software developer roles. These include HubSpot, Wayfair, MathWorks, Fidelity Investments, Liberty Mutual, and Biogen, alongside a strong cluster of biotech and medtech companies in the Cambridge and Waltham areas. Many early-stage startups in the Boston ecosystem also sponsor, though less predictably than established firms.
Which visa types are most common for senior software developer roles in Massachusetts?
The H-1B is by far the most common visa category used by Massachusetts employers to sponsor senior software developers, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science or a related field. Some multinational companies use L-1B visas for intracompany transfers. Candidates with extraordinary ability may pursue the O-1A, and Australian citizens may qualify for the E-3 visa.
Which cities in Massachusetts have the most senior software developer sponsorship jobs?
Greater Boston and Cambridge account for the largest share of senior software developer sponsorship jobs in Massachusetts, concentrated around Kendall Square, the Seaport District, and Back Bay. The Route 128 corridor, including Waltham, Burlington, and Woburn, hosts a dense cluster of established tech and biotech employers. Worcester is a smaller but growing market, particularly around its university-affiliated tech sector.
How to find senior software developer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles. You can filter jobs by state and role to surface senior software developer positions in Massachusetts where employers have documented sponsorship activity. This saves significant time compared to manually screening job postings, since most listings do not explicitly state whether the employer sponsors visas for this role.
Are there any state-specific factors that affect visa sponsorship for senior software developers in Massachusetts?
Massachusetts sits in a high-cost labor market, which means the Department of Labor prevailing wage requirements for H-1B senior software developer roles reflect Boston-area compensation levels. The state's deep university pipeline, anchored by MIT, Harvard, Northeastern, and Boston University, means many employers are accustomed to sponsoring international talent directly from academic programs and are generally familiar with the H-1B process.
What is the prevailing wage for sponsored senior software developer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.