QA Engineer

Senior Quality Engineer

Notice Period: Immediate

Purpose of the Job:

We are seeking a highly skilled and experienced Senior Quality Engineer to join our Enterprise Technology and Data team. This role is crucial in ensuring the delivery of high-quality data-driven solutions and applications across our enterprise systems. The ideal candidate will have deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric and Google Cloud data platforms such as BigQuery and Google Cloud Data Pipelines.

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of our technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). You will work closely with cross-functional teams including developers, data engineers, and product managers to ensure that the highest standards of quality are maintained throughout the software development lifecycle.

Main Activities:

1. · Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.
2. · Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
3. · Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.
4. · SQL Database Testing: SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.
5. · Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.
6. · Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
7. · Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
8. · Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
9. · Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.
10. · Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.
11. · Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

Knowledge/Skill Requirements:

· Education:

1. o Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
2. · Experience:
3. o 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
4. o Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
5. o Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
6. o Strong understanding of data management, data warehousing, ETL processes, and data integration.
7. o Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

Technical Skills:

1. o Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
2. o Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
3. o Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
4. o Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).
5. · Soft Skills:
6. o Strong analytical, problem-solving, and troubleshooting skills.
7. o Excellent communication skills, with the ability to collaborate effectively across departments.
8. o Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
9. o Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.
10. · Certifications/Additional Training – Nice-to-Have:
11. o Relevant certifications (e.g., Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer or Professional Cloud Developer) are a plus.
12. o Experience working with data governance tools such as Azure Purview and ensuring data compliance

The EDI QA Analyst works closely with external vendors during implementations to communicate testing expectations, coordinate validation activities, and address vendor feedback. Operating in a production-adjacent environment, the role ensures data accuracy, file integrity, and carrier readiness through structured test planning, test data preparation, scenario validation, defect identification and classification, and thorough documentation within the carrier file/EDI delivery lifecycle.

In addition, the analyst collaborates cross-functionally with requirements, development, and implementation teams to develop comprehensive test plans, manage testing activities, and work through ticketing queues to ensure timely and high-quality file delivery.

Post-production, the EDI QA Analyst is responsible for ongoing monitoring, review, and resolution of carrier error reports, while identifying trends and opportunities for continuous process improvement.

Key Responsibilities and Duties

Carrier/Vendor File Validation

•     Validate outbound carrier/vendor files (ANSI/HIPAA 834 and related formats) for structural integrity, format compliance, eligibility accuracy, and carrier-specific requirements before transmission.

•     Collaborate with external carriers/vendors and internal teams, including development and operations, to validate file behavior and resolve discrepancies.

Scenario-Based Testing

•     Develop and execute structured test scenarios covering eligibility rules, enrollment transactions, life events, and carrier-specific behaviors across internal and external testing phases.

End-to-End Data Reconciliation

•     Trace and reconcile data from upstream systems through platform outputs to final vendor files using SQL, reports, and control totals to ensure data integrity.

•     Test Planning & Requirements Traceability

o  Translate carrier/vendor and business requirements into structured test plans, reusable test cases, and traceable validation scenarios aligned to standardized templates.

•     Test Data Preparation

o  Identify, prepare, and manage representative test populations across systems and reporting environments to support validation cycles.

•     Defect Identification & Routing

o  Analyze validation results, classify defects (requirements, configuration, data, system issues), and manage QA tickets through defined workflows, ensuring proper routing, status tracking, ownership, and timely closure.

•     Documentation & Continuous Improvement

o  Provide regular status updates on QA progress, risks, and dependencies aligned to timelines and release schedules.

o  Maintain QA documentation (test plans, validation evidence, file layouts, queries, defect patterns) while building reusable test assets, vendor test plan libraries, and supporting future automation initiatives.

o  Help establish and maintain a vendor test plan library in support of all vendor relationships.

o  Drive automation and validation improvements.

•     Production Monitoring & Carrier Error Resolution

o  Review carrier acknowledgement and error reports (e.g., 999, rejection reports)

o  Investigate and resolve rejected records.

o  Coordinate corrections and reprocessing.

o  Ensure timely resolution within SLA.

•     Trend Analysis & Continuous Improvement – Post-production

o  Analyze recurring carrier errors and identify patterns.

o  Provide insights into upstream data or configuration issues.

o  Recommend improvements to reduce rework and increase first-pass success.

Required Qualifications

•     Bachelor’s degree in Computer Science or a related technical field (or equivalent experience).

•     Minimum of 2 years of experience in health insurance or Health & Welfare (H&W) benefits administration.

•     Experience working with carrier files, EDI transactions, or HIPAA 834 files in a production or operational environment.

•     Strong understanding of eligibility and enrollment processes, including effective date logic and life event transactions.

•     Hands-on experience with SQL for data validation, reconciliation, and defect analysis.

•     Strong analytical skills with a high level of attention to detail, especially in regulated environments with low tolerance for error.

Preferred Qualifications

•     Familiarity with QA best practices and Quality Management Systems (QMS), including frameworks that ensure consistent compliance with customer and regulatory requirements while driving continuous improvement and efficiency.

•     Experience with EDI testing and carrier integration environments.

•     Exposure to COBRA processes within benefits administration.

•     Experience with test automation and test case management tools.

•     Familiarity with AI-assisted testing or quality engineering practices.

•     Experience in preparing, validating, and analyzing test data across multiple systems.

•     Solid understanding of data models and relational database concepts.

•     Experience using defect tracking and ticketing systems such as JIRA (or similar tools).

Job Overview: 

We are seeking a skilled QA Engineer with expertise in testing frontend, backend systems, PostgreSQL, and ensuring dataflow and report consistency. The ideal candidate will have experience in performing API testing, including load and stress tests. You will be responsible for designing and implementing test plans to ensure our systems are reliable, scalable, and functionally sound. 

Key Responsibilities:

• Conduct thorough testing of frontend and backend components to ensure alignment with design specifications and functionality requirements.
• Perform comprehensive PostgreSQL testing, including database integrity checks, query performance analysis, and ensuring data consistency.
• Validate dataflow across systems to ensure data accuracy, consistency, and integrity in real-time or batch processing pipelines.
• Test the consistency of reports generated from databases, ensuring they reflect the correct, up-to-date data from the underlying systems.
• Design and execute API testing for both functionality and performance (load, stress, and scalability tests).
• Create, maintain, and enhance automated test scripts for frontend, backend, and API testing.
• Collaborate with developers, product managers, and other stakeholders to ensure clarity in requirements and testing coverage.
• Identify, document, and track defects using bug tracking tools such as Jira, and work closely with the development team for prompt resolution.
• Ensure that all testing results meet the highest quality standards and are aligned with project deadlines.
• Provide insights and suggestions for improvements in the testing process and tools

Required Skills & Experience:

• 2+ years of experience as a QA Engineer, with hands-on experience testing frontend and backend applications.
• Strong experience with PostgreSQL or similar relational databases, including writing SQL queries to validate data and performance.
• Experience with API testing tools such as Postman, SoapUI, or JMeter for functional, load, and stress testing.
• Familiarity with load and stress testing methodologies to validate system performance under varying conditions.
• Experience testing data pipelines and ensuring dataflow consistency across ETL processes and distributed systems.
• Strong understanding of data validation, report consistency, and how data should move accurately through multiple systems.
• Experience with backend testing, including working with RESTful APIs and validating request/response cycles.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills with the ability to troubleshoot and isolate issues in a complex system.
• Excellent communication skills to interact effectively with cross-functional teams.

Nice to Have:

● Experience with CI/CD pipelines to automate testing and deployment processes.

● Knowledge of NoSQL databases like MongoDB in addition to relational databases.

● Familiarity with cloud platforms such as AWS, GCP, or Azure for testing cloud-based applications.

● Experience with performance monitoring tools like New Relic, Dynatrace, or Grafana.

● Experience with test automation frameworks like Selenium, Cypress, or TestCafe for frontend testing.

Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

● Proven track record in testing web applications, data pipelines, and APIs.

What We Offer:

● Competitive salary and benefits package.

● A chance to work on challenging and cutting-edge technologies.

● Flexible working hours and remote work options.

● Opportunities for career growth and learning.

● An inclusive and collaborative work environment

Title                                 : Senior Data & AI Quality Engineer (Ingestion · Evaluation · Testing)

Experience                    : 5+ years

Work type                      : Chennai - Work from Office/ Other Locations - Remote

Employment Type      : Full Time

Notice Period               : Immediate

Work Day                       :Mon to Fri

Key Responsibilities:

• Ingestion pipelines: Confluence, SharePoint/Microsoft 365 (Graph), and repository connectors — parsing, chunking, metadata, incremental sync, data-quality controls
• Synthetic and non-production data design: corpora shaped to banking IT content (runbooks, incidents, KB articles, change records) with realistic permission structures — the foundation of the cloud-first build
• The evaluation harness as a product: golden question sets, retrieval precision/faithfulness/citation-accuracy scoring, the zero-leakage permission suite, the zero-unauthorized-actions agent suite; CI-integrated regression gates
• Performance and load testing with the platform engineer: concurrency profiles, soak tests, degraded-mode behavior
• UAT orchestration and defect triage across both use cases; acceptance evidence packs per milestone
• Measurement reporting foundations: the before/after value metrics (time saved per incident, per search) the client's executives receive monthly

Technical Skills:

• 5+ years across data engineering and quality engineering with production Python; you have built pipelines AND the tests that police them
• LLM evaluation experience: has designed or operated retrieval/generation quality measurement with numeric thresholds (RAGAS-class metrics, custom harnesses, or equivalent) — not just eyeballed outputs
• Document-processing depth: parsing real enterprise content (tables, permissions, versions, mess), chunking trade-offs, metadata design

• Test-suite craftsmanship: negative and adversarial test design — the leakage suite is a security artifact, and you think like an attacker when writing it
• Load/performance testing experience (Locust, k6, or equivalent) and defect-triage discipline

Strongly Preferred :

Synthetic-data generation for regulated domains; Microsoft Graph and Confluence APIs; Milvus/pgvector; Splunk data onboarding; UAT facilitation with business users; banking data-handling standards

About Ampera: 

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards. 

Role Summary

The QA Engineer (Automation + Manual) is responsible for ensuring the quality, reliability, and compliance

readiness of the ERP platform. This role involves end-to-end testing of complex workflows, including compliance

processes, legal case management, and multi-entity operations. The QA will play a critical role in preventing

defects in high-risk areas such as accounting, regulatory filings, and audit trails, while also building automation

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

• Understand business requirements, technical architecture, and ERP workflows.

• Create test strategies and test plans covering functional, integration, and regression testing.

• Identify high-risk areas such as compliance deadlines, approvals, and workflow dependencies.

• Perform functional testing of ERP modules and end-to-end workflow testing.

• Validate complex business scenarios and multi-role workflows such as admin, compliance officer, and accountant.

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

• Design and develop automated test scripts for UI and APIs.

• Build scalable automation frameworks.

• Automate regression suites and critical workflows such as compliance filings, approvals, and calculations.

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

• Test integration points with third-party APIs and government portals.

• Test multi-step approval workflows, RBAC, and document lifecycle flows.

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

• Log clear, reproducible bugs and track defects through the lifecycle.

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

• Work closely with the Product Manager and developers for requirements clarity and early testing.

• Participate in sprint planning, daily standups, and sprint demos.

• Use Gen AI as a force multiplier.

Qualifications

• Bachelor's degree in Computer Science / IT / Engineering.

• 5-7 years of experience in QA, including manual and automation testing.

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

• Strong expertise in test case design, exploratory testing, and workflow validation

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Location – Hyderabad (Hybrid)

Work Experience – 5 to 7 years

CTC – upto 20 LPA

Roles & Responsibilities:

· We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines.

· Integration of data from multiple sources or vendors to provide the holistic insights from data.

· You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc.

· Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues.

· Should have experience in client interaction.

· Experience in mentoring juniors and providing required guidance.

Required Technical Skills

· Extensive hands on experience in Python, Pyspark, SQL, Dataiku.

· Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.

· Working knowledge in Databricks, Redshift, ADF etc.

· Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.

· Sound knowledge in end-to-end Data management, Data ops, quality and data governance.

· Familiar with SFDC, Waterfall/ Agile methodology.

· Strong domain knowledge in Pharma domain/ life sciences commercial data operations.

Qualifications

· Bachelor’s or master’s Engineering/ MCA or equivalent degree.

· 5-7 years of relevant industry experience as Data Engineer.

· Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

· High motivation, good work ethic, maturity, self-organized and personal initiative.

· Ability to work collaboratively and providing the support to the team.

· Excellent written and verbal communication skills.

· Strong analytical and problem-solving skills. 

We are looking for a detail-oriented QA Manual Engineer to join our growing team. In this role, you will play a key part in ensuring the quality and reliability of our products by designing and executing test strategies across the full development lifecycle.

You will collaborate closely with developers, product teams, and stakeholders to deliver high-quality software solutions within the insurance domain.

Responsibilities:

• Develop and own a clear QA strategy aligned with product and business goals
• Plan, prioritize, and coordinate testing activities across projects
• Design and execute detailed test plans, test cases, and test scenarios
• Perform thorough regression testing to ensure stability after bug fixes
• Identify, document, and track bugs, ensuring timely resolution before release
• Collaborate with developers to improve product quality and ensure QA alignment
• Conduct integration and end-to-end testing across systems
• Triage incoming bugs and incidents, troubleshooting issues as needed
• Support Agile processes and actively participate in sprint activities
• Provide feedback and suggestions to continuously improve QA processes

Requirements:

• Proven experience in manual testing and a solid understanding of QA methodologies
• Working knowledge of the software development lifecycle (SDLC)
• Experience with tools such as Jira (or similar bug tracking and test management tools)
• Good English communication skills (written and spoken)
• Strong analytical mindset and attention to detail
• Ability to collaborate effectively within cross-functional teams
• Proactive attitude with a willingness to learn and grow

Nice to Have:

• Experience writing integration or end-to-end test scenarios
• Exposure to Agile/Scrum environments
• Interest in or basic understanding of the insurance domain

Why Join Us

• Opportunity to grow within a fast-evolving InsureTech environment
• Work on impactful products used by global clients
• Collaborative and supportive team culture focused on learning and development
• Exposure to modern tools, processes, and international projects
• Flexible hybrid work model

Role Impact:

Ensure product quality and stability before release

Improve user experience through proactive testing and feedback

Contribute to building reliable, scalable insurance software solutions

QA Test Engineer – Manual & Automation

Location: Bangalore, India

Experience: 2–5 years

Employment Type: Full-time

Work Mode: On-site

About Juntrax

Juntrax is a B2B Cloud SaaS product company building business operations software for SMEs. Our platform helps businesses manage their day-to-day operations through streamlined digital workflows and tools.

We are looking for a QA Test Engineer who can ensure the quality, reliability, and usability of our product through a combination of manual and automated testing.

Key Responsibilities

• Design, develop, and execute manual and automated test cases for web-based SaaS applications.
• Perform functional, regression, integration, system, and API testing.
• Create and maintain automated test scripts for critical product workflows.
• Identify, document, track, and retest bugs using appropriate bug-tracking tools.
• Collaborate closely with developers, UI/UX designers, product teams, and other stakeholders to understand requirements and ensure product quality.
• Participate in requirement analysis and contribute to test planning and test strategy.
• Perform cross-browser and responsive testing to ensure a consistent user experience.
• Validate new features, enhancements, bug fixes, and product releases.
• Maintain clear documentation of test scenarios, test cases, defects, and test results.
• Help improve QA processes, automation coverage, and overall testing efficiency.

Required Skills & Qualifications

• 2–5 years of experience in Software Quality Assurance / Testing.
• Strong understanding of manual testing concepts and QA methodologies.
• Hands-on experience with automation testing using tools/frameworks such as Selenium, Playwright, Cypress, or similar.
• Experience with API testing using tools such as Postman or similar.
• Good understanding of SQL and database validation.
• Experience with regression, integration, functional, and end-to-end testing.
• Familiarity with Git/version control and basic CI/CD concepts.
• Ability to write clear and effective test cases and defect reports.
• Good analytical and problem-solving skills.
• Strong attention to detail and a quality-focused mindset.

Good to Have

• Experience testing B2B SaaS or cloud-based applications.
• Experience with JavaScript/TypeScript, Python, Java, or another programming language.
• Experience integrating automated tests into CI/CD pipelines.
• Familiarity with Agile/Scrum development environments.
• Experience with performance or security testing.

What We’re Looking For

• Someone who can think beyond the happy path and identify edge cases and potential failure points.
• A QA professional who is comfortable working independently as well as with cross-functional teams.
• Someone who takes ownership of product quality from requirement analysis through release.
• A continuous learner who is interested in increasing automation coverage and improving QA processes.

Why Join Juntrax?

• Work directly on a growing B2B SaaS product.
• Gain exposure to the complete software development and release lifecycle.
• Opportunity to contribute to both manual and automation QA practices.
• Work closely with engineering, product, and leadership teams.
• Be part of a fast-paced startup environment where your work has a direct impact on the product.