Senior Software Engineering Jobs in USA with Visa Sponsorship
Senior software engineering roles are among the most actively sponsored positions in the U.S. Employers routinely file H-1B visa, O-1 visa, and EB-2/EB-3 green card petitions for qualified engineers. Your specialty occupation status and degree field are the two factors that determine which visa pathways open to you and how quickly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities that connect computational workflows, scientific data, artificial intelligence (AI), and physical experimentation. We are seeking a Senior Director of Engineering to establish and scale the engineering organization, deliver initial customer commitments, and develop reusable services for additional scientific programs and customers.
This is a technically demanding people leadership role with accountability across engineering strategy, delivery, quality, security, operations, and economics. You will lead multiple teams and develop engineering managers and senior technical leaders. Working with Product Management, the System Architect, and scientific leadership, you will turn evolving requirements into clear service boundaries, credible delivery plans, and dependable customer outcomes.
You will build an AI native engineering organization in which agents perform substantial engineering work through autonomous execution, automated validation, and operational feedback. Teams will own the complete lifecycle of their services and make technical decisions within agreed architectural boundaries. Your role is to strengthen their capability and accountability while resolving material technical and organizational issues.
Responsibilities
- Own engineering strategy and outcomes across scientific computing, data, AI, and laboratory automation within agreed product direction and system architecture. Translate customer priorities into delivery commitments, capacity plans, and investment recommendations.
- Build autonomous teams with one accountable owner for each service. Establish complete ownership of design, implementation, testing, deployment, operations, support, reliability, and cost. Delegate technical decisions in proportion to capability and risk.
- Lead AI native engineering transformation across development, testing, deployment, and operations. Establish agent execution loops, evaluation harnesses, automated validation, and human oversight appropriate to security, reliability, and correctness requirements.
- Partner with the System Architect and senior engineers on service boundaries, interfaces, interoperability, and system constraints. Exercise technical judgment on consequential decisions while enabling teams to own service architecture and implementation.
- Recruit, develop, and evaluate engineering managers, senior engineers, and technical leaders. Maintain high technical standards, coach future leaders, and design effective management spans and organizational structures with minimal unnecessary coordination.
- Own delivery from initial customer pilots through production operation and repeatable deployment. Resolve technical risks, integration dependencies, and resource constraints, and communicate changes to commitments early with options and recommendations.
- Work with customer scientists, applied science, product managers, and engineering partners to translate research workflows into requirements and acceptance plans. Distinguish implementation correctness from scientific validity and establish appropriate evaluation with domain experts.
- Lead engineering integration across cloud services, workflow engines, scientific applications, laboratory systems, and equipment partners. Establish reusable interfaces, configuration, validation, and onboarding approaches while preserving local equipment control and safety authority.
- Establish operational readiness, service objectives, observability, incident response, recovery, and continuous improvement. Hold service owners accountable for secure operation, customer support, and sustained service performance.
- Own engineering capacity, budgets, infrastructure consumption, and service cost. Make staffing and technical investment recommendations using delivery needs, operational obligations, measured productivity, and product economics.
- Measure throughput, delivery predictability, quality, reliability, engineering cost, and human intervention in agent workflows. Use evidence to improve engineering practices, team composition, and deployment efficiency.
- Lead across geographically distributed teams, customer environments, and partner organizations. Clarify ownership, manage work transitions, resolve disagreements, and represent engineering decisions and risks to senior executives and customers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Substantial experience building and operating complex software or cloud services, including 8+ years of engineering management or technical leadership and 2+ years leading an organization that includes other managers or technical leads. These periods may overlap.
- Demonstrated success leading multiple engineering teams, recruiting senior technical talent, developing managers and technical leaders, and delivering complex initiatives across organizational boundaries.
- Strong technical judgment in distributed systems, cloud services, data platforms, or comparable systems. Ability to challenge designs, evaluate tradeoffs, diagnose technical risks, and lead consequential engineering decisions.
- Experience owning production delivery and operations, including reliability, security, incident response, and cost, with a record of meeting customer commitments.
- Experience applying AI agents and automated validation to engineering workflows, with evidence of improvements in delivery, quality, or operational effectiveness.
- Ability to create clarity in evolving environments, lead organizational change, and communicate technical decisions, resource needs, and risks effectively with customers and senior leaders.
PREFERRED QUALIFICATIONS
We welcome candidates from robotics, automation, scientific computing, and other complex technology backgrounds.
- Experience developing robotics, autonomous systems, or industrial automation products, including integration of software with hardware, sensors, or control systems.
- Experience building scientific computing, genomics, bioinformatics, pathogens research, research data, or reproducible workflow capabilities.
- Experience developing laboratory automation or scientific instrumentation systems, including equipment integration, state management, testing, and recovery.
- Experience scaling emerging cloud services from strategic customer pilots through production operation and repeatable customer adoption.
- Experience developing secure agent execution environments, engineering evaluation systems, automated testing and deployment, or feedback loops that reduce manual intervention while maintaining quality.
INTRODUCTION
Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities that connect computational workflows, scientific data, artificial intelligence (AI), and physical experimentation. We are seeking a Senior Director of Engineering to establish and scale the engineering organization, deliver initial customer commitments, and develop reusable services for additional scientific programs and customers.
This is a technically demanding people leadership role with accountability across engineering strategy, delivery, quality, security, operations, and economics. You will lead multiple teams and develop engineering managers and senior technical leaders. Working with Product Management, the System Architect, and scientific leadership, you will turn evolving requirements into clear service boundaries, credible delivery plans, and dependable customer outcomes.
You will build an AI native engineering organization in which agents perform substantial engineering work through autonomous execution, automated validation, and operational feedback. Teams will own the complete lifecycle of their services and make technical decisions within agreed architectural boundaries. Your role is to strengthen their capability and accountability while resolving material technical and organizational issues.
Responsibilities
- Own engineering strategy and outcomes across scientific computing, data, AI, and laboratory automation within agreed product direction and system architecture. Translate customer priorities into delivery commitments, capacity plans, and investment recommendations.
- Build autonomous teams with one accountable owner for each service. Establish complete ownership of design, implementation, testing, deployment, operations, support, reliability, and cost. Delegate technical decisions in proportion to capability and risk.
- Lead AI native engineering transformation across development, testing, deployment, and operations. Establish agent execution loops, evaluation harnesses, automated validation, and human oversight appropriate to security, reliability, and correctness requirements.
- Partner with the System Architect and senior engineers on service boundaries, interfaces, interoperability, and system constraints. Exercise technical judgment on consequential decisions while enabling teams to own service architecture and implementation.
- Recruit, develop, and evaluate engineering managers, senior engineers, and technical leaders. Maintain high technical standards, coach future leaders, and design effective management spans and organizational structures with minimal unnecessary coordination.
- Own delivery from initial customer pilots through production operation and repeatable deployment. Resolve technical risks, integration dependencies, and resource constraints, and communicate changes to commitments early with options and recommendations.
- Work with customer scientists, applied science, product managers, and engineering partners to translate research workflows into requirements and acceptance plans. Distinguish implementation correctness from scientific validity and establish appropriate evaluation with domain experts.
- Lead engineering integration across cloud services, workflow engines, scientific applications, laboratory systems, and equipment partners. Establish reusable interfaces, configuration, validation, and onboarding approaches while preserving local equipment control and safety authority.
- Establish operational readiness, service objectives, observability, incident response, recovery, and continuous improvement. Hold service owners accountable for secure operation, customer support, and sustained service performance.
- Own engineering capacity, budgets, infrastructure consumption, and service cost. Make staffing and technical investment recommendations using delivery needs, operational obligations, measured productivity, and product economics.
- Measure throughput, delivery predictability, quality, reliability, engineering cost, and human intervention in agent workflows. Use evidence to improve engineering practices, team composition, and deployment efficiency.
- Lead across geographically distributed teams, customer environments, and partner organizations. Clarify ownership, manage work transitions, resolve disagreements, and represent engineering decisions and risks to senior executives and customers.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Substantial experience building and operating complex software or cloud services, including 8+ years of engineering management or technical leadership and 2+ years leading an organization that includes other managers or technical leads. These periods may overlap.
- Demonstrated success leading multiple engineering teams, recruiting senior technical talent, developing managers and technical leaders, and delivering complex initiatives across organizational boundaries.
- Strong technical judgment in distributed systems, cloud services, data platforms, or comparable systems. Ability to challenge designs, evaluate tradeoffs, diagnose technical risks, and lead consequential engineering decisions.
- Experience owning production delivery and operations, including reliability, security, incident response, and cost, with a record of meeting customer commitments.
- Experience applying AI agents and automated validation to engineering workflows, with evidence of improvements in delivery, quality, or operational effectiveness.
- Ability to create clarity in evolving environments, lead organizational change, and communicate technical decisions, resource needs, and risks effectively with customers and senior leaders.
PREFERRED QUALIFICATIONS
We welcome candidates from robotics, automation, scientific computing, and other complex technology backgrounds.
- Experience developing robotics, autonomous systems, or industrial automation products, including integration of software with hardware, sensors, or control systems.
- Experience building scientific computing, genomics, bioinformatics, pathogens research, research data, or reproducible workflow capabilities.
- Experience developing laboratory automation or scientific instrumentation systems, including equipment integration, state management, testing, and recovery.
- Experience scaling emerging cloud services from strategic customer pilots through production operation and repeatable customer adoption.
- Experience developing secure agent execution environments, engineering evaluation systems, automated testing and deployment, or feedback loops that reduce manual intervention while maintaining quality.
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs
Align your degree field to the role
USCIS evaluates whether your bachelor's degree is in a field directly related to software engineering. A degree in computer science, electrical engineering, or information systems clears the bar cleanly. A business or unrelated degree requires additional documentation to establish specialty occupation.
Use OFLC Wage Search before negotiating
Your employer's LCA must certify wages at or above the prevailing wage for your location and role level. Run the OFLC Wage Search for your metro area before any offer conversation so you're negotiating from the same baseline your employer is legally bound to meet.
Target companies with active H-1B filing history
Use Migrate Mate to find employers with verified LCA filing history for software engineering roles. Companies already running active H-1B programs have established processes, legal counsel on file, and hiring managers familiar with sponsorship timelines, which shortens your path from offer to petition.
Distinguish your O*NET job zone when evaluating offers
O*NET classifies senior software engineering roles at Job Zone 4, requiring substantial preparation. If a job description lists duties below that level, your petition carries higher RFE risk. Confirm the offer letter and job duties match a senior-level profile before the LCA is filed.
Account for cap-gap risk in your offer timeline
If you're on F-1 OPT when you receive an offer, your authorization may expire before October 1 when H-1B status takes effect. Confirm your OPT end date with your DSO immediately after selection so you and your employer can plan around any gap in your work authorization.
Start the PERM process early for green card sponsorship
EB-2 and EB-3 green card sponsorship for software engineers requires PERM labor certification from DOL before USCIS reviews the petition. Raise green card sponsorship during the offer stage, not after onboarding, so your employer's counsel can open the PERM recruitment process without delay.
Frequently Asked Questions
Does senior software engineering qualify as a specialty occupation for H-1B purposes?
Yes. Senior software engineering consistently qualifies as a specialty occupation under H-1B criteria because the role normally requires at least a bachelor's degree in computer science, software engineering, or a closely related field. USCIS scrutinizes job duties, so your offer letter should describe responsibilities that reflect advanced technical work rather than general or entry-level programming tasks.
Which visa types do employers most commonly use to sponsor senior software engineers?
H-1B is the most common pathway, granting status for up to three years and extendable to six. Australians can use the E-3 visa, which carries a separate cap and no lottery. Chilean and Singaporean nationals may qualify for H-1B1 visa. Employers sponsoring long-term hires also pursue EB-2 or EB-3 green cards, which require PERM labor certification filed with DOL.
How do I find employers actively sponsoring senior software engineering roles?
Migrate Mate lists U.S. employers with verified LCA sponsorship history for software engineering roles, searchable by city and seniority level. Focusing your search on companies with active filing histories reduces the time you spend educating hiring teams about sponsorship and increases the likelihood your offer converts to a filed petition.
Will a three-year Australian bachelor's degree satisfy H-1B degree requirements?
Generally yes. USCIS evaluates whether the degree is equivalent to a U.S. bachelor's degree in a relevant field, and Australian three-year degrees are widely accepted as equivalent when the field of study directly relates to the role. A credential evaluation from a NACES-member organization can document the equivalency formally if your employer's attorney requests it.
What happens to my H-1B status if I want to change employers?
A worker already in H-1B status can start with a new employer once the new petition is filed with USCIS. There's no waiting period for approval before you begin work. Your new employer must file Form I-129 and an LCA certified for your new role and work location before your start date, so initiate the process well ahead of your intended transition.
What is the prevailing wage requirement for sponsored Senior Software Engineering jobs?
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.