Remote Engineering Jobs
Remote engineering jobs are open across software, hardware, and infrastructure sectors at remote-first companies and distributed teams nationwide, from entry-level roles to staff and principal positions. Employers hiring remotely right now include Clutter, Cisco, and boi. Find a role that fits below and apply directly.
Find Remote Engineering JobsOverview
Showing 4 of 209+ Remote Engineering jobs
Senior Manager – QA Engineering | Mainframe Modernization
Information Technology · United States · Remote · Fulltime · Posted 2026-10-19
About the role
# Senior Manager – QA Engineering | Mainframe Modernization **Location:** Remote, United States **Employment Type:** Full-time **Compensation:** $140,000–$150,000 Simplify Recruiting is seeking a Senior Manager, QA Engineering to lead quality engineering for a mainframe-to-AWS modernization program. This role combines QA team leadership with hands-on technical work to analyze legacy application behavior, build automation, and validate that modernized cloud workloads produce accurate, consistent results. ## What You’ll Do - Lead the QA team and own test strategy and delivery across functional, regression, integration, performance, migration, and cutover testing. - Analyze COBOL, JCL, PL/I, and copybooks to identify business rules, test scenarios, and expected outcomes. - Validate mainframe batch and online processing across z/OS, CICS, IMS, DB2, and VSAM. - Design and execute parallel testing between legacy and modernized systems; investigate differences and document findings. - Validate AWS data migrations through record counts, checksums, field-level reconciliation, and precision checks. - Verify batch sequencing, scheduling dependencies, restart and recovery behavior, and processing windows. - Build automated test frameworks using Python and supporting utilities in Go. - Test APIs and web interfaces that replace legacy screens. - Integrate automated tests into CI/CD pipelines and provide evidence for release and cutover decisions. - Mentor QA engineers and promote secure, effective use of AI-assisted testing. ## Required Qualifications - 12–15 years of relevant experience, including at least four years testing mainframe applications or data. - Experience leading QA teams and owning QA test strategy and delivery. - Ability to read COBOL and JCL, with working knowledge of PL/I, copybooks, and EBCDIC-to-ASCII conversion. - Hands-on experience with DB2 for z/OS, IMS DB/DC, VSAM, fixed-width files, and packed-decimal formats such as COMP-3; familiarity with CICS, TSO/ISPF, 3270 emulators, and CA-7 or Control-M. - Strong Python automation skills, particularly pytest and pandas, plus working proficiency in Go for test utilities, data validation, or reconciliation. - Working knowledge of AWS services including S3, Lambda, RDS/Aurora, DMS, IAM, and CloudWatch. - Experience with parallel testing, migration validation, batch equivalence testing, SQL across DB2 and PostgreSQL, and Git, Jira, and CI/CD pipelines. - Practical experience using AI tools to understand legacy code, develop test scenarios, and accelerate automation; ability to independently validate AI-generated output and protect confidential and sensitive data. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. ## Preferred Qualifications - U.S. healthcare payer or health insurance experience, particularly with claims, eligibility, or core administration systems. - Familiarity with X12 EDI, HL7, or FHIR. - Experience testing mainframe-to-cloud modernization or replatforming programs. - Exposure to AWS Mainframe Modernization, AWS Transform, or comparable tools. - Familiarity with File-AID, Abend-AID, or comparable mainframe testing tools. - Relevant ISTQB, AWS, or IBM mainframe certifications.
Must-have qualifications
12–15 years of relevant experience, including at least four years testing mainframe applications or data. Hands-on healthcare payer QA experience across claims, eligibility, enrollment, or core administration systems. Demonstrated experience leading QA teams and owning test strategy and delivery. Ability to read COBOL and JCL, with working knowledge of PL/I, copybooks, and EBCDIC-to-ASCII conversion. Hands-on experience with DB2 for z/OS, IMS DB/DC, VSAM, fixed-width files, and packed-decimal formats such as COMP-3. Familiarity with CICS, TSO/ISPF, 3270 emulators, and CA-7 or Control-M. Strong Python automation skills, particularly pytest and pandas, plus working proficiency in Go for test utilities, data validation, or reconciliation. Working knowledge of AWS S3, Lambda, RDS/Aurora, DMS, IAM, and CloudWatch. Experience with parallel testing, migration validation, and batch equivalence testing. Strong SQL skills across DB2 and PostgreSQL, with experience using Git, Jira, and CI/CD pipelines. Practical AI-assisted testing experience for legacy-code analysis, test-scenario development, or automation, including independent validation of AI outputs and protection of confidential and sensitive data.
Preferred qualifications
Familiarity with healthcare data standards such as X12 EDI, HL7, or FHIR. Experience testing mainframe-to-cloud modernization or replatforming programs. Exposure to AWS Mainframe Modernization, AWS Transform, or similar tools. Familiarity with File-AID, Abend-AID, or comparable mainframe testing tools. Relevant ISTQB, AWS, or IBM mainframe certifications.
Job ID: SRJP000018
Senior Manager – QA Engineering | Mainframe Modernization
Information Technology · United States · Remote · Fulltime · Posted 2026-10-19
About the role
# Senior Manager – QA Engineering | Mainframe Modernization **Location:** Remote, United States **Employment Type:** Full-time **Compensation:** $140,000–$150,000 Simplify Recruiting is seeking a Senior Manager, QA Engineering to lead quality engineering for a mainframe-to-AWS modernization program. This role combines QA team leadership with hands-on technical work to analyze legacy application behavior, build automation, and validate that modernized cloud workloads produce accurate, consistent results. ## What You’ll Do - Lead the QA team and own test strategy and delivery across functional, regression, integration, performance, migration, and cutover testing. - Analyze COBOL, JCL, PL/I, and copybooks to identify business rules, test scenarios, and expected outcomes. - Validate mainframe batch and online processing across z/OS, CICS, IMS, DB2, and VSAM. - Design and execute parallel testing between legacy and modernized systems; investigate differences and document findings. - Validate AWS data migrations through record counts, checksums, field-level reconciliation, and precision checks. - Verify batch sequencing, scheduling dependencies, restart and recovery behavior, and processing windows. - Build automated test frameworks using Python and supporting utilities in Go. - Test APIs and web interfaces that replace legacy screens. - Integrate automated tests into CI/CD pipelines and provide evidence for release and cutover decisions. - Mentor QA engineers and promote secure, effective use of AI-assisted testing. ## Required Qualifications - 12–15 years of relevant experience, including at least four years testing mainframe applications or data. - Experience leading QA teams and owning QA test strategy and delivery. - Ability to read COBOL and JCL, with working knowledge of PL/I, copybooks, and EBCDIC-to-ASCII conversion. - Hands-on experience with DB2 for z/OS, IMS DB/DC, VSAM, fixed-width files, and packed-decimal formats such as COMP-3; familiarity with CICS, TSO/ISPF, 3270 emulators, and CA-7 or Control-M. - Strong Python automation skills, particularly pytest and pandas, plus working proficiency in Go for test utilities, data validation, or reconciliation. - Working knowledge of AWS services including S3, Lambda, RDS/Aurora, DMS, IAM, and CloudWatch. - Experience with parallel testing, migration validation, batch equivalence testing, SQL across DB2 and PostgreSQL, and Git, Jira, and CI/CD pipelines. - Practical experience using AI tools to understand legacy code, develop test scenarios, and accelerate automation; ability to independently validate AI-generated output and protect confidential and sensitive data. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. ## Preferred Qualifications - U.S. healthcare payer or health insurance experience, particularly with claims, eligibility, or core administration systems. - Familiarity with X12 EDI, HL7, or FHIR. - Experience testing mainframe-to-cloud modernization or replatforming programs. - Exposure to AWS Mainframe Modernization, AWS Transform, or comparable tools. - Familiarity with File-AID, Abend-AID, or comparable mainframe testing tools. - Relevant ISTQB, AWS, or IBM mainframe certifications.
Must-have qualifications
12–15 years of relevant experience, including at least four years testing mainframe applications or data. Hands-on healthcare payer QA experience across claims, eligibility, enrollment, or core administration systems. Demonstrated experience leading QA teams and owning test strategy and delivery. Ability to read COBOL and JCL, with working knowledge of PL/I, copybooks, and EBCDIC-to-ASCII conversion. Hands-on experience with DB2 for z/OS, IMS DB/DC, VSAM, fixed-width files, and packed-decimal formats such as COMP-3. Familiarity with CICS, TSO/ISPF, 3270 emulators, and CA-7 or Control-M. Strong Python automation skills, particularly pytest and pandas, plus working proficiency in Go for test utilities, data validation, or reconciliation. Working knowledge of AWS S3, Lambda, RDS/Aurora, DMS, IAM, and CloudWatch. Experience with parallel testing, migration validation, and batch equivalence testing. Strong SQL skills across DB2 and PostgreSQL, with experience using Git, Jira, and CI/CD pipelines. Practical AI-assisted testing experience for legacy-code analysis, test-scenario development, or automation, including independent validation of AI outputs and protection of confidential and sensitive data.
Preferred qualifications
Familiarity with healthcare data standards such as X12 EDI, HL7, or FHIR. Experience testing mainframe-to-cloud modernization or replatforming programs. Exposure to AWS Mainframe Modernization, AWS Transform, or similar tools. Familiarity with File-AID, Abend-AID, or comparable mainframe testing tools. Relevant ISTQB, AWS, or IBM mainframe certifications.
Job ID: SRJP000018
See All 209+ Remote Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Engineering JobsRemote Engineering Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Insurance
- Media & Entertainment
- Distribution & Wholesale
What Employers Look For
The qualifications that appear most often in remote engineering jobs.
- Bachelor's degree in engineering or a closely related technical discipline
- Proficiency in CAD, simulation, or domain-specific engineering software
- 2-5 years of hands-on experience in a relevant engineering specialty
- Familiarity with industry standards such as ISO, ASME, IEEE, or NFPA
- Experience reading and producing technical drawings, specifications, or P&IDs
- Professional Engineer (PE) license or active progress toward licensure
Tips for Your Remote Engineering Job Search
Apply early to remote roles that fit
Migrate Mate lists remote engineering openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings fill fast, so applying the day a role goes live puts you ahead of most candidates.
Build an async-first work sample
Remote engineering teams evaluate how well you communicate technical decisions in writing. Include a README, a pull request with clear comments, or a written design doc in your portfolio to show you can collaborate without a meeting.
Target remote-first companies specifically
Companies built as remote-first have distributed team structures, async workflows, and established onboarding for remote engineers. Focusing your search on these employers means you won't be the only remote hire on a team designed for an office.
Prepare for the remote technical interview format
Remote engineering interviews often include a take-home project, a live coding session in a shared editor, and a system design discussion over video. Practice explaining your reasoning out loud as you code, since interviewers are watching both your solution and how you think.
Remote Engineering Jobs: Frequently Asked Questions
How do I get a remote engineering job?
Target companies that already run distributed engineering teams, since they have established workflows for remote engineers and hire for it consistently. Remote engineering employers screen heavily for async written communication, self-directed execution, and the ability to unblock yourself without in-person collaboration. Strong code review habits, thorough documentation, and experience with tools like Git, Jira, and async communication platforms give candidates a clear edge.
Which companies hire remote engineerings?
Remote engineering roles are posted by Clutter, Cisco, and boi and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, fintech firms, and distributed infrastructure teams tend to hire engineers remotely most consistently across all seniority levels.
Can you get a remote engineering job with no experience?
Yes, but remote entry-level engineering roles are harder to land because employers expect you to work independently from day one without in-person onboarding or mentorship nearby. Early-stage startups and remote-first product companies are the most likely to hire junior engineers remotely. A strong portfolio of shipped projects, open-source contributions, or contract work demonstrates you can deliver without hand-holding, which is what remote employers need to see.
Do you need a degree for remote engineering jobs?
Not always. Many remote engineering employers weigh demonstrable skills, a portfolio of real projects, and prior work history more heavily than a formal degree, particularly at product-focused startups and remote-first software companies. Certifications, coding bootcamp completions, and consistent open-source contributions carry real weight when your code and commit history are visible and speak for themselves.
Which industries hire the most remote engineerings?
Most remote engineering openings sit in Technology & Software, Investment & Asset Management, and Insurance, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that can collaborate across time zones and ship product without requiring engineers to be on-site.
See All 209+ Remote Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Engineering Jobs