Green Card Aws Engineer Jobs
AWS Engineer roles qualify for EB-2 and EB-3 green card sponsorship when the position requires a bachelor's degree or higher in computer science, engineering, or a related field. Your employer files a PERM labor certification with DOL before petitioning USCIS, making cloud infrastructure expertise one of the more consistently sponsored specializations in U.S. tech hiring.
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Get Access To All JobsAWS AI/IoT Architect
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value. We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded Linux devices and edge AI hardware to cloud services, and building and deploying generative AI solutions on AWS using Amazon Bedrock. Our engineers own implementation from device provisioning and on-device software through cloud integration, over-the-air updates, and fleet operations. You will work with cloud, embedded, and hardware teams to deliver reliable solutions and validate them on simulated fleets and physical development boards.
Responsibilities
- Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation, using per-device X.509 certificates, mutual TLS, fleet provisioning with claim certificates, certificate revocation, and AWS Private CA.
- Develop AWS IoT Greengrass v2 components, recipes, and deployments for both the Java nucleus and nucleus lite, including on resource-constrained devices, with recovery and state-management behavior suited to the device.
- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services, including model invocation, inference settings, and integration through AWS SDKs.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector stores and vector search, retrieval quality, grounding in enterprise data, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with schema validation, controlled execution, error handling, explicit permissions, and human approval where needed.
- Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation.
- Build Python services and APIs that integrate AI capabilities with customer applications, databases, and enterprise data sources.
- Create representative evaluation datasets and automated tests to measure accuracy, grounding, extraction quality, and agent task completion; validate changes before release.
- Implement layered AI safeguards using Amazon Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injection.
- Build on-device agents in Python and C/C++ for embedded Linux, build board images with Yocto, integrate systemd services, and cross-compile and package software for Arm and other embedded targets.
- Implement secure OTA pipelines for applications, models, and supported firmware, with manifests signed using AWS KMS or AWS Signer, verification before installation, staged rollout, health checks, failure recovery, rollback, and anti-rollback controls.
- Manage static and dynamic thing groups and AWS IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status.
- Build MQTT telemetry pipelines, topic structures, versioned message schemas, and IoT rules that route data to streaming services and Amazon S3, including buffering, reconnect behavior, and duplicate-message handling.
- Test at fleet scale with containerized device simulators and real-board lab testing, covering load, connectivity, provisioning, OTA, and recovery; diagnose connectivity, interrupted updates, power-loss recovery, security, and device performance issues.
- Apply device security practices, including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys where the device supports them.
Skills You Bring With You
- Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design.
- AWS IoT Device Management and AWS IoT Device Defender, including fleet indexing, secure tunneling, and audit checks.
- Knowledge and experience in developing tenant-aware AWS backend workflows with Lambda, Step Functions, EventBridge, and DynamoDB partition design for multi-tenant data, with tenant-scoped IAM and IoT policies.
- Practical experience with RAG, embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases.
- Experience building agent workflows and tool calling, with schema validation, controlled execution, error handling, and integration with external systems.
Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; equivalent experience considered.
- 5+ years of experience in IoT, embedded software, cloud engineering, or related roles, with hands-on responsibility for production systems.
- Demonstrated delivery of AWS-connected device solutions spanning embedded Linux development, secure device lifecycle management, cloud integration, and production operations.
Additional Experience We Value
- Hailo AI processors and accelerators (Hailo-8, Hailo-10H, Hailo-15), including HailoRT, the Dataflow Compiler, and HEF artifacts.
- Microchip PolarFire SoC, including the VectorBlox SDK, VNNX artifacts, and the PolarFire security features.
- Hardware-backed device identity and key storage, including TPMs and secure elements such as Microchip ATECC608 or TA100, and approaches for devices with limited hardware key protection.
- Familiarity with EU Cyber Resilience Act requirements for security updates, vulnerability handling, and software bills of materials (SBOMs).
- Other IoT platforms, such as Avnet IoTConnect, and migration between IoT platforms.
- FPGA fundamentals, including secure bitstream packaging, deployment, compatibility validation, and recovery.
Travel Required
- Travel typically 5% or less a year
Equal Employment Opportunity
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
AWS AI/IoT Architect
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value. We are looking for a Senior AWS IoT Architect to join our Cloud Solutions team. This hands-on role will build and operate secure, multi-tenant IoT platforms on AWS, connecting embedded Linux devices and edge AI hardware to cloud services, and building and deploying generative AI solutions on AWS using Amazon Bedrock. Our engineers own implementation from device provisioning and on-device software through cloud integration, over-the-air updates, and fleet operations. You will work with cloud, embedded, and hardware teams to deliver reliable solutions and validate them on simulated fleets and physical development boards.
Responsibilities
- Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation, using per-device X.509 certificates, mutual TLS, fleet provisioning with claim certificates, certificate revocation, and AWS Private CA.
- Develop AWS IoT Greengrass v2 components, recipes, and deployments for both the Java nucleus and nucleus lite, including on resource-constrained devices, with recovery and state-management behavior suited to the device.
- Design, develop, test, and deploy AI applications using Amazon Bedrock foundation models and AWS services, including model invocation, inference settings, and integration through AWS SDKs.
- Build retrieval-augmented generation (RAG) solutions using Amazon Bedrock Knowledge Bases or custom retrieval pipelines, including ingestion, chunking, embeddings, vector stores and vector search, retrieval quality, grounding in enterprise data, and source citations.
- Implement AI agents and tool integrations that connect models to enterprise APIs and workflows, with schema validation, controlled execution, error handling, explicit permissions, and human approval where needed.
- Develop prompts and structured extraction workflows for document understanding, classification, summarization, and business process automation.
- Build Python services and APIs that integrate AI capabilities with customer applications, databases, and enterprise data sources.
- Create representative evaluation datasets and automated tests to measure accuracy, grounding, extraction quality, and agent task completion; validate changes before release.
- Implement layered AI safeguards using Amazon Bedrock Guardrails, IAM, encryption, data access controls, output validation, and protections against prompt injection.
- Build on-device agents in Python and C/C++ for embedded Linux, build board images with Yocto, integrate systemd services, and cross-compile and package software for Arm and other embedded targets.
- Implement secure OTA pipelines for applications, models, and supported firmware, with manifests signed using AWS KMS or AWS Signer, verification before installation, staged rollout, health checks, failure recovery, rollback, and anti-rollback controls.
- Manage static and dynamic thing groups and AWS IoT Jobs, including rollout rates, abort thresholds, retries, and fleet deployment status.
- Build MQTT telemetry pipelines, topic structures, versioned message schemas, and IoT rules that route data to streaming services and Amazon S3, including buffering, reconnect behavior, and duplicate-message handling.
- Test at fleet scale with containerized device simulators and real-board lab testing, covering load, connectivity, provisioning, OTA, and recovery; diagnose connectivity, interrupted updates, power-loss recovery, security, and device performance issues.
- Apply device security practices, including secure boot, debug-port lockdown, least-privilege IoT policies, and hardware-backed keys where the device supports them.
Skills You Bring With You
- Strong Python and software engineering skills, including API development, automated testing, debugging, code review, and maintainable application design.
- AWS IoT Device Management and AWS IoT Device Defender, including fleet indexing, secure tunneling, and audit checks.
- Knowledge and experience in developing tenant-aware AWS backend workflows with Lambda, Step Functions, EventBridge, and DynamoDB partition design for multi-tenant data, with tenant-scoped IAM and IoT policies.
- Practical experience with RAG, embeddings, vector stores, retrieval quality, and grounding responses in enterprise data, including Amazon Bedrock Knowledge Bases.
- Experience building agent workflows and tool calling, with schema validation, controlled execution, error handling, and integration with external systems.
Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred; equivalent experience considered.
- 5+ years of experience in IoT, embedded software, cloud engineering, or related roles, with hands-on responsibility for production systems.
- Demonstrated delivery of AWS-connected device solutions spanning embedded Linux development, secure device lifecycle management, cloud integration, and production operations.
Additional Experience We Value
- Hailo AI processors and accelerators (Hailo-8, Hailo-10H, Hailo-15), including HailoRT, the Dataflow Compiler, and HEF artifacts.
- Microchip PolarFire SoC, including the VectorBlox SDK, VNNX artifacts, and the PolarFire security features.
- Hardware-backed device identity and key storage, including TPMs and secure elements such as Microchip ATECC608 or TA100, and approaches for devices with limited hardware key protection.
- Familiarity with EU Cyber Resilience Act requirements for security updates, vulnerability handling, and software bills of materials (SBOMs).
- Other IoT platforms, such as Avnet IoTConnect, and migration between IoT platforms.
- FPGA fundamentals, including secure bitstream packaging, deployment, compatibility validation, and recovery.
Travel Required
- Travel typically 5% or less a year
Equal Employment Opportunity
Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.
See all 349+ Green Card Aws Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Aws Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Aws Engineer
Document your AWS certifications strategically
AWS certifications like Solutions Architect or DevOps Engineer strengthen your PERM case by demonstrating specialized credentials beyond a general degree. Compile certification dates, exam scores, and employer letters confirming how each credential applies to your specific job duties.
Target employers with active PERM filing history
Cloud infrastructure teams at mid-to-large enterprises file PERM more consistently than startups because they have dedicated immigration counsel. Search DOL disclosure data filtered by SOC code 15-1252 to identify companies with recent AWS Engineer sponsorship activity before applying.
Search green card roles using Migrate Mate
Filter by EB-2 and EB-3 sponsorship status on Migrate Mate to surface AWS Engineer openings at employers who have already committed to the PERM process, saving you from negotiating sponsorship willingness from scratch.
Clarify the PERM wage level during offer negotiation
PERM requires your offered wage to meet the DOL prevailing wage for your location and job duties. Before signing an offer, verify that your title and responsibilities align with the wage level the employer intends to use via OFLC Wage Search, since a mismatch can trigger an audit.
Align your job duties with O*NET definitions
USCIS and DOL assess whether your role genuinely requires a specialized degree. Review the O*NET occupation profile for cloud and systems engineers to ensure your job description uses terminology consistent with how the role is officially defined, reducing RFE risk on the I-140.
Track priority dates if you're from India or China
EB-3 priority dates for Indian nationals can be backlogged by years. Filing I-140 approval under EB-2 simultaneously, where your credentials support it, preserves an earlier priority date and gives you options if backlogs shift before your case reaches the front of the queue.
Green Card Aws Engineer: Frequently Asked Questions
Does an AWS Engineer role typically qualify for EB-2 or EB-3 sponsorship?
Most AWS Engineer positions qualify for EB-3 as skilled worker roles requiring at least a bachelor's degree in computer science or a related field. EB-2 sponsorship is available when the role requires an advanced degree or the employer can demonstrate the position warrants a master's-level candidate. Some employers file under both categories simultaneously to preserve flexibility on priority dates.
How does green card sponsorship differ from H-1B for an AWS Engineer?
H-1B visa is a temporary nonimmigrant status with a three-year initial period and an annual lottery for cap-subject petitions. EB-2 and EB-3 green card sponsorship is permanent, has no lottery, and no annual cap at the EB-3 skilled worker level for most countries outside India and China. The PERM process takes longer upfront but the outcome is lawful permanent residency rather than a renewal cycle.
How long does the PERM process take for an AWS Engineer position?
DOL supervised recruitment and PERM certification currently averages around 12 to 18 months before the employer can file the I-140 petition with USCIS. After I-140 approval, adjustment of status wait times depend entirely on your country of birth and the EB-2 or EB-3 priority date backlog. Nationals from most countries outside India and China typically see faster overall timelines.
What should I look for when evaluating an employer's green card sponsorship offer?
Confirm the employer has immigration counsel and an established PERM process rather than treating your case as a first attempt. Ask whether they will file under EB-2, EB-3, or both, and whether they cover attorney fees. Use Migrate Mate to identify employers with a documented history of AWS Engineer sponsorship so you're starting from a stronger negotiating position.
Can I change employers after my I-140 is approved?
Yes. Under AC21 portability rules, once your I-140 has been approved and your adjustment of status application has been pending for 180 days or more, you can change to a same or similar occupational role without losing your priority date. For AWS Engineers, roles involving cloud architecture, infrastructure management, or DevOps workflows generally satisfy the same or similar standard.