Technology Ventures Visa Sponsorship Jobs USA
Technology Ventures operates in the Technology & Software space and has a track record of sponsoring both H-1B visa and employment-based Green Card pathways. For international candidates in tech, it represents a legitimate sponsorship option worth researching, particularly for roles requiring specialized technical expertise.
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Get Access To All JobsLocation: Reston, VA
Job Type: Contract
Qualifications
Education & Experience
- Bachelor’s degree in Computer Science or related field required; Master’s degree preferred.
- 12+ years of progressive hands-on experience in application development, analysis, engineering, solution architecture, and technical leadership.
- Minimum 5 years of experience as a solution architect working with AWS or Azure.
- Experience with Architecture principles and the TOGAF framework is a plus.
- AWS Professional Certification preferred; AWS or Azure Architecture Associate Certification required.
- CISSP or equivalent security certification is a plus.
Technical Expertise
Enterprise Data & Cloud Architecture
- Expertise managing Enterprise Data Platforms including Data Lakes, Data Warehouses, and Data Marts.
- Experience with real-time and near real-time data streaming platforms.
- Expertise with relational, semi-structured, and unstructured databases.
- Strong proficiency with Python or Java.
- Experience designing large-scale APIs, microservices, and distributed streaming-based solutions.
- Skilled in supporting and managing large, complex, and geographically distributed cloud environments.
- Strong background in risk assessment, control design, gap remediation, and impact analysis.
MLOps Expertise
-
Extensive experience with MLOps frameworks and enterprise ML lifecycle automation, including:
-
ML Lifecycle Architecture & Automation: Designing and implementing end-to-end MLOps pipelines: data ingestion, feature engineering, model training, tuning, evaluation, versioning, CI/CD for ML, approvals, and automated deployment.
-
Model Governance: Establishing model governance, including lineage, auditability, explainability, data validation, and responsible AI controls.
-
Model Deployment, Serving & Monitoring: Designing microservice-based ML inference architectures using EKS/ECS, Lambda, Step Functions, and event-driven patterns. Implementing advanced model monitoring:
- drift detection
- data quality checks
- outlier detection
- performance degradation alerts
- CloudWatch / OpenTelemetry observability pipelines
-
CI/CD for ML (MLOps): Building automated ML pipelines using CodePipeline, Bitbucket Pipelines, GitHub Actions, Jenkins, etc., integrated with container registries and SageMaker.
-
Enterprise Patterns: Defining enterprise patterns for ML environment standardization, reproducibility, and secure deployment.
Microservice Orchestration & Cloud-Native Engineering
- Experience with orchestrating microservices using AWS ECS, EKS, Fargate, Lambda, EventBridge, App Mesh, and Step Functions.
- Implementing service mesh patterns for service discovery, traffic routing, observability, and zero-trust communication.
- Designing event-driven architectures leveraging Kinesis, SNS/SQS, and Lambda.
- Experience building highly available, resilient, fault-tolerant cloud architectures.
AWS & Cloud Infrastructure Expertise
- Proficiency with RDS PostgreSQL, Aurora, DynamoDB, and other AWS data services.
- Experience with AWS VPC design, IAM, CloudFormation, AMIs, multi-account strategy, and landing zone architecture.
- Strong knowledge of AWS services such as ELB, ElastiCache, CloudWatch, CloudTrail, S3, Lambda, Kinesis, App Mesh.
- Experience designing cloud logging, alerting, and observability frameworks.
- Expertise in AWS cloud security services and designing secure-by-default architectures.
- Experience with Jenkins, GitHub, Bitbucket, and Docker in DevOps workflows.
Soft Skills
- Strong written and verbal communication skills.
- Ability to create compelling visual concepts and technical diagrams such as sequence diagram, context diagram, data flow diagram etc.
- Effective cross-functional collaboration and stakeholder influence skills.
- Strong presenter with the ability to simplify complex topics.
- Skilled in strategic planning, option analysis, and roadmap development.
Location: Reston, VA
Job Type: Contract
Qualifications
Education & Experience
- Bachelor’s degree in Computer Science or related field required; Master’s degree preferred.
- 12+ years of progressive hands-on experience in application development, analysis, engineering, solution architecture, and technical leadership.
- Minimum 5 years of experience as a solution architect working with AWS or Azure.
- Experience with Architecture principles and the TOGAF framework is a plus.
- AWS Professional Certification preferred; AWS or Azure Architecture Associate Certification required.
- CISSP or equivalent security certification is a plus.
Technical Expertise
Enterprise Data & Cloud Architecture
- Expertise managing Enterprise Data Platforms including Data Lakes, Data Warehouses, and Data Marts.
- Experience with real-time and near real-time data streaming platforms.
- Expertise with relational, semi-structured, and unstructured databases.
- Strong proficiency with Python or Java.
- Experience designing large-scale APIs, microservices, and distributed streaming-based solutions.
- Skilled in supporting and managing large, complex, and geographically distributed cloud environments.
- Strong background in risk assessment, control design, gap remediation, and impact analysis.
MLOps Expertise
-
Extensive experience with MLOps frameworks and enterprise ML lifecycle automation, including:
-
ML Lifecycle Architecture & Automation: Designing and implementing end-to-end MLOps pipelines: data ingestion, feature engineering, model training, tuning, evaluation, versioning, CI/CD for ML, approvals, and automated deployment.
-
Model Governance: Establishing model governance, including lineage, auditability, explainability, data validation, and responsible AI controls.
-
Model Deployment, Serving & Monitoring: Designing microservice-based ML inference architectures using EKS/ECS, Lambda, Step Functions, and event-driven patterns. Implementing advanced model monitoring:
- drift detection
- data quality checks
- outlier detection
- performance degradation alerts
- CloudWatch / OpenTelemetry observability pipelines
-
CI/CD for ML (MLOps): Building automated ML pipelines using CodePipeline, Bitbucket Pipelines, GitHub Actions, Jenkins, etc., integrated with container registries and SageMaker.
-
Enterprise Patterns: Defining enterprise patterns for ML environment standardization, reproducibility, and secure deployment.
Microservice Orchestration & Cloud-Native Engineering
- Experience with orchestrating microservices using AWS ECS, EKS, Fargate, Lambda, EventBridge, App Mesh, and Step Functions.
- Implementing service mesh patterns for service discovery, traffic routing, observability, and zero-trust communication.
- Designing event-driven architectures leveraging Kinesis, SNS/SQS, and Lambda.
- Experience building highly available, resilient, fault-tolerant cloud architectures.
AWS & Cloud Infrastructure Expertise
- Proficiency with RDS PostgreSQL, Aurora, DynamoDB, and other AWS data services.
- Experience with AWS VPC design, IAM, CloudFormation, AMIs, multi-account strategy, and landing zone architecture.
- Strong knowledge of AWS services such as ELB, ElastiCache, CloudWatch, CloudTrail, S3, Lambda, Kinesis, App Mesh.
- Experience designing cloud logging, alerting, and observability frameworks.
- Expertise in AWS cloud security services and designing secure-by-default architectures.
- Experience with Jenkins, GitHub, Bitbucket, and Docker in DevOps workflows.
Soft Skills
- Strong written and verbal communication skills.
- Ability to create compelling visual concepts and technical diagrams such as sequence diagram, context diagram, data flow diagram etc.
- Effective cross-functional collaboration and stakeholder influence skills.
- Strong presenter with the ability to simplify complex topics.
- Skilled in strategic planning, option analysis, and roadmap development.
Job Roles at Technology Ventures
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Get Access To All JobsTips for Finding Technology Ventures Visa Sponsorship Jobs USA
Target roles that align with H-1B specialty occupation standards
Technology Ventures sponsors H-1B visas for specialized technical roles. Focus your application on positions requiring a specific bachelor's degree or higher, software engineering, data science, and systems architecture roles are strong fits for this visa category.
Understand that Green Card sponsorship is a longer-term commitment
Technology Ventures has sponsored employment-based Green Cards, which signals willingness to invest in long-term talent. Raise this pathway after you've established yourself in the role, it's not typically part of an initial offer conversation.
TN visa eligibility can accelerate your timeline if you're Canadian or Mexican
Technology Ventures sponsors TN visas, which don't require lottery selection and can be processed faster than H-1B. If you're a Canadian or Mexican national in a qualifying tech occupation, lead with TN eligibility when approaching the company.
Research which technical departments are most active in sponsorship
In Technology & Software companies, engineering, product, and data teams drive the majority of sponsored hires. Tailor your application to roles within these functions where sponsorship is most commonly tied to specialized, hard-to-source skill sets.
Filter for verified sponsors before applying
Not every company that claims to sponsor visas follows through consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving you time and reducing the risk of pursuing opportunities that won't support your visa needs.
Address sponsorship directly but professionally in your outreach
Technology & Software companies expect international candidates to be direct about visa requirements. Confirm sponsorship availability early in the recruiter conversation, frame it as a logistical detail, not a red flag, and come prepared with a clear understanding of your own visa pathway.
Technology Ventures jobs are hiring across the US. Find yours.
Find Technology Ventures JobsFrequently Asked Questions
Does Technology Ventures sponsor H-1B visas?
Yes, Technology Ventures sponsors H-1B visas. The company operates in the Technology & Software industry, where H-1B sponsorship is most commonly tied to specialized roles in software engineering, data, and technical product development. If you're targeting H-1B sponsorship, focus your application on positions that clearly require a degree in a specific technical field relevant to the role.
What visa types does Technology Ventures sponsor?
Technology Ventures sponsors H-1B visas, employment-based Green Cards through the EB-2 and EB-3 categories, and TN visas for Canadian and Mexican nationals. This combination covers a range of pathways, from temporary specialty worker status to permanent residency, making it a meaningful option for international candidates at different stages of their immigration journey.
Which roles or departments at Technology Ventures are most likely to receive visa sponsorship?
In Technology & Software companies, sponsorship is most concentrated in technical functions, software engineering, data science, machine learning, and systems infrastructure roles are typical candidates. These positions tend to meet H-1B specialty occupation standards most cleanly. Business, operations, and generalist roles are less commonly sponsored, though EB-2 pathways can sometimes apply to roles requiring advanced degrees.
How do I find open jobs at Technology Ventures that offer visa sponsorship?
The most reliable approach is to search for Technology Ventures on Migrate Mate, which surfaces companies with verified sponsorship histories and lets you filter by visa type. This helps you confirm that the roles you're applying to have a real track record of sponsorship, rather than relying on job postings that may not reflect actual immigration support.
How do I approach the application process at Technology Ventures as an international candidate?
Confirm visa sponsorship availability early in the recruiter screening call, don't wait until you have an offer. For H-1B roles, be ready to explain your current status and any cap-related timing. If you're eligible for TN sponsorship, raise it as an alternative since it avoids the lottery. Technology Ventures has sponsored both temporary and permanent pathways, so it's worth asking which options the company has experience with.
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