E-3 Visa Distributed Systems Engineer Jobs
Distributed Systems Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, software engineering, or a related field. Australian engineers can secure two-year E-3 status with no lottery and renew indefinitely, making this one of the most direct paths to a U.S. engineering career.
Find E-3 Visa Distributed Systems Engineer JobsOverview
Showing 5 of 24+ Distributed Systems Engineer jobs
See all Distributed Systems Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Distributed Systems Engineer roles.
Get Access To All JobsINTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category: Software Engineering
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
THE EXPERIENCE
By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence.
Pillar 1: Data Engineering & Observability
Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Pillar 2: Data Cloud. Big Data Compute platform team.
Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
WHAT YOU'LL ACTUALLY BE DOING
- Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms.
- Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems.
- Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar.
- Experience operating data platforms or infrastructure services at enterprise scale.
- Experience building or operating observability systems, telemetry pipelines, or monitoring platforms.
- Experience using metrics, logging, and telemetry to drive operational excellence.
- Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
- Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
- Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
YOU'RE OUR PERSON IF...
- A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
- Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category: Software Engineering
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
THE EXPERIENCE
By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence.
Pillar 1: Data Engineering & Observability
Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Pillar 2: Data Cloud. Big Data Compute platform team.
Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
WHAT YOU'LL ACTUALLY BE DOING
- Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms.
- Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems.
- Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar.
- Experience operating data platforms or infrastructure services at enterprise scale.
- Experience building or operating observability systems, telemetry pipelines, or monitoring platforms.
- Experience using metrics, logging, and telemetry to drive operational excellence.
- Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
- Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
- Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
YOU'RE OUR PERSON IF...
- A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
- Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See all E-3 Visa Distributed Systems Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Distributed Systems Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Distributed Systems Engineer
Frame your degree for U.S. specialty occupation
Australian three-year bachelor's degrees satisfy E-3 visa educational requirements, but your employer's LCA must specify a degree field directly tied to distributed systems work. Confirm your transcript shows coursework in systems architecture, networking, or computer science before your employer files.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have certified LCAs for software or systems engineer roles. A history of E-3 or H-1B visa filings signals the employer already has the HR infrastructure to sponsor you.
Distinguish E-3 from H-1B in every recruiter conversation
Most U.S. engineering recruiters conflate E-3 with H-1B. Clarify upfront that E-3 has no lottery, no annual cap, and that their legal team can certify your LCA with DOL in days rather than waiting for October cap season.
Get your job offer letter before the LCA is filed
Your employer files the LCA with DOL before you can apply at the consulate, so a formal written offer with your title, salary, and start date must exist first. Verbal commitments won't satisfy the DOL's documentation requirements for specialty occupation certification.
Use Migrate Mate's E-3 filing service for end-to-end execution
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission, DS-160, and consulate preparation. This removes the coordination burden from your employer and reduces the risk of paperwork errors that delay your start date.
Prepare for technical and immigration questions at your consulate interview
Consular officers routinely ask distributed systems engineers to explain how their specific role requires specialized knowledge. Bring documentation linking your daily responsibilities to your degree field, and be ready to describe your employer's systems architecture in plain terms.
E-3 Visa Distributed Systems Engineer: Frequently Asked Questions
How do I find Distributed Systems Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 visa sponsorship roles in the U.S. You can filter by job title and see which employers are open to E-3 candidates. Because the E-3 requires no lottery, more engineering employers are willing to sponsor than you might expect when targeting H-1B roles.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Distributed Systems Engineer role qualify as a specialty occupation for the E-3?
Yes. Distributed systems engineering requires theoretical and practical application of highly specialized knowledge, and USCIS consistently recognizes computer science and software engineering roles as specialty occupations. Your job offer must specify duties tied to a bachelor's degree or higher in a directly related field for the LCA to be certified by DOL.
How does the E-3 compare to the H-1B for Distributed Systems Engineers?
The E-3 has no annual lottery and no numerical cap, so you can apply any time of year after receiving a job offer. H-1B petitions are entered into a lottery held once per year, and selection is not guaranteed. For Australian engineers, the E-3 is a faster and more predictable path to the same full-time employment authorization at a U.S. company.
Can I change employers or switch to a new distributed systems role on E-3 status?
Yes, but each employer change requires a new LCA certified by DOL and a new visa stamp if your current stamp is tied to the previous employer. You can begin working for the new employer once the new LCA is certified and, if outside the U.S., after attending a consulate appointment. There is no portability rule equivalent to H-1B's AC21 provision.