Unisys Visa Sponsorship USA
Unisys is a global IT solutions company with a consistent record of sponsoring foreign national talent across software engineering, consulting, and infrastructure roles. For skilled professionals seeking H-1B or Green Card sponsorship in the technology sector, Unisys is a credible and established option worth targeting.
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Get Access To All JobsPosition: Developer III / Python Developer
Duration: 12+ Months
Location: Reston, VA (Hybrid)
Job Description
The Senior Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions.
Required Technical Qualifications
Python Development:
- Strong proficiency in Python for backend service development
- Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages
- Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization
- Understanding of clean code principles, error handling, type hints, and maintainable design
API Engineering:
- Hands-on experience building RESTful APIs using Flask, Django, or FastAPI
- Knowledge of authentication and authorization mechanisms (JWT, OAuth2)
- Experience implementing API versioning, request validation, and structured error handling
- Understanding of performance considerations such as throughput, latency, and caching
AWS Cloud Services:
- Practical experience with key AWS services including: Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch
- Ability to design event driven, serverless, and containerized architectures
- Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations
- Experience monitoring applications via CloudWatch metrics, logs, and alarms
Infrastructure, DevOps, & Tooling:
- Hands-on experience with GitLab for version control and CI/CD pipeline development
- Experience using Terraform (or similar) for infrastructure as code
- Proficiency with Docker for containerized application development
- Ability to use shell scripting and AWS CLI for operational automation
- Familiarity with Agile development workflows (Jira, Confluence)
AI Assisted Development Tools (Required Competency)
To support modern engineering productivity and code quality standards, candidates must:
- Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools
- Use AI tools responsibly to:
- Accelerate development while maintaining code correctness
- Generate and refine unit tests and integration test scaffolding
- Improve readability, documentation, and boilerplate reduction
- Assist with refactoring, code reviews, and exploratory coding
- Understand organizational expectations around responsible AI usage, including validation, security, and compliance
This is a mandatory requirement, not a bonus skill.
Data Engineering Skills (Required)
Candidates are expected to have practical exposure to foundational data engineering concepts, including:
- Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows
- Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL)
- Ability to optimize SQL queries (joins, aggregations, window functions)
- Understanding of data modeling, data validation, and schema evolution
- Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization
- Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON)
Front-End Exposure (Preferred, Not Required)
- Basic familiarity with Angular, particularly for integrating backend APIs
- Ability to read and modify UI components when needed
Soft Skills & Engineering Mindset
- Ability to communicate effectively with technical and non-technical stakeholders
- Strong analytical and problem solving capability
- Demonstrated ability to navigate, understand, and improve existing codebases
- Understanding of design patterns and architectural principles
- Focus on reliability, scalability, automation, and long term maintainability
- Ability to collaborate in Agile teams and provide high quality documentation
LI-CGTS
TS-0455
Position: Developer III / Python Developer
Duration: 12+ Months
Location: Reston, VA (Hybrid)
Job Description
The Senior Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions.
Required Technical Qualifications
Python Development:
- Strong proficiency in Python for backend service development
- Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages
- Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization
- Understanding of clean code principles, error handling, type hints, and maintainable design
API Engineering:
- Hands-on experience building RESTful APIs using Flask, Django, or FastAPI
- Knowledge of authentication and authorization mechanisms (JWT, OAuth2)
- Experience implementing API versioning, request validation, and structured error handling
- Understanding of performance considerations such as throughput, latency, and caching
AWS Cloud Services:
- Practical experience with key AWS services including: Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch
- Ability to design event driven, serverless, and containerized architectures
- Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations
- Experience monitoring applications via CloudWatch metrics, logs, and alarms
Infrastructure, DevOps, & Tooling:
- Hands-on experience with GitLab for version control and CI/CD pipeline development
- Experience using Terraform (or similar) for infrastructure as code
- Proficiency with Docker for containerized application development
- Ability to use shell scripting and AWS CLI for operational automation
- Familiarity with Agile development workflows (Jira, Confluence)
AI Assisted Development Tools (Required Competency)
To support modern engineering productivity and code quality standards, candidates must:
- Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools
- Use AI tools responsibly to:
- Accelerate development while maintaining code correctness
- Generate and refine unit tests and integration test scaffolding
- Improve readability, documentation, and boilerplate reduction
- Assist with refactoring, code reviews, and exploratory coding
- Understand organizational expectations around responsible AI usage, including validation, security, and compliance
This is a mandatory requirement, not a bonus skill.
Data Engineering Skills (Required)
Candidates are expected to have practical exposure to foundational data engineering concepts, including:
- Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows
- Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL)
- Ability to optimize SQL queries (joins, aggregations, window functions)
- Understanding of data modeling, data validation, and schema evolution
- Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization
- Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON)
Front-End Exposure (Preferred, Not Required)
- Basic familiarity with Angular, particularly for integrating backend APIs
- Ability to read and modify UI components when needed
Soft Skills & Engineering Mindset
- Ability to communicate effectively with technical and non-technical stakeholders
- Strong analytical and problem solving capability
- Demonstrated ability to navigate, understand, and improve existing codebases
- Understanding of design patterns and architectural principles
- Focus on reliability, scalability, automation, and long term maintainability
- Ability to collaborate in Agile teams and provide high quality documentation
LI-CGTS
TS-0455
Job Roles at Unisys Companies
How to Get Visa Sponsorship in Unisys Visa Sponsorship USA
Target Unisys's core technical divisions
Unisys hires most sponsored talent in software development, cloud infrastructure, and IT consulting. Aligning your application to these divisions, rather than corporate or administrative functions, puts you closest to where sponsorship activity concentrates.
Lead with specialty occupation qualifications
H-1B approval at Unisys depends on your role qualifying as a specialty occupation. Emphasize your degree field's direct relevance to the job description. A degree in computer science or engineering strengthens your case significantly.
Apply when positions are actively open, not speculatively
Unisys sponsorship is tied to specific funded headcount. Targeting live job postings rather than sending cold applications improves your odds. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find current Unisys openings.
Use TN visa eligibility as a differentiator if you're Canadian or Mexican
Unisys sponsors TN visas, which have no cap or lottery. If you're a Canadian or Mexican national in a qualifying TN occupation like engineer or computer systems analyst, flag this in your application, it removes a significant hiring barrier for the employer.
Prepare for a structured, enterprise-style hiring process
As a large IT services company, Unisys typically runs multi-stage interviews involving technical assessments and behavioural rounds. Prepare for both. Demonstrating project delivery experience and enterprise technology familiarity aligns well with what Unisys hiring managers evaluate.
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Get Access To All JobsFrequently Asked Questions
Does Unisys sponsor H-1B visas?
Yes, Unisys sponsors H-1B visas and has a consistent track record of doing so for roles in software engineering, IT consulting, and infrastructure. The company files petitions tied to specific open positions, so sponsorship is available when a qualifying role is budgeted and your background aligns with the specialty occupation requirement.
Which roles at Unisys are most likely to receive visa sponsorship?
Sponsorship at Unisys is concentrated in technical roles, particularly software engineers, cloud architects, systems analysts, and IT consultants. These positions align with the specialty occupation standard required for H-1B classification. Corporate, sales, and generalist roles are less commonly sponsored. Focusing your search on Unisys's technology delivery and solutions divisions gives you the strongest chance.
Does Unisys support Green Card sponsorship?
Yes, Unisys sponsors employment-based Green Cards through the EB-2 and EB-3 categories. These pathways typically become available after an employee has been with the company for a period of time and demonstrated strong performance. If long-term U.S. residency is your goal, it's worth raising this during the offer negotiation stage rather than waiting until you're already employed.
How do I find open visa-sponsored jobs at Unisys?
The most reliable approach is to search for Unisys directly on Migrate Mate, which aggregates jobs from verified sponsors and lets you filter by visa type and company. This ensures the roles you're targeting are from employers with a documented sponsorship history, rather than relying on job listings that don't disclose immigration support upfront.
How do I approach the Unisys application process as a visa sponsorship candidate?
Be transparent about your visa status early, ideally in your cover letter or at the first recruiter screen. Unisys has experience with sponsored hires, so this rarely disqualifies candidates in technical roles. Prepare for a structured hiring process with technical and behavioural rounds. Having your documentation in order and understanding whether your role qualifies as a specialty occupation will help the process move efficiently once an offer is extended.
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