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Job Title: Sr. Automation Engineer

Location: Hillsboro, OR

Job Summary

Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems.

Mandatory Technical Skills

(Minimum 5+ years of hands-on experience in each)

• Python automation using Pytest or Robot Framework
• QNX OS (POSIX-compliant systems)
• UX/UI Automation & Testing

Key Responsibilities

• Design, architect, and enhance scalable automation frameworks using Python and Pytest.
• Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability.
• Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions.
• Optimize hybrid execution models involving both Pytest and Robot Framework assets.
• Develop wrapper layers, fixtures, utilities, and reusable automation components.
• Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools.
• Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
• Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools.
• Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability.
• Mentor junior engineers and uphold automation design, coding standards, and best practices.

Required Qualifications

• 5+ years of hands-on experience with Python automation and Pytest.
• Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring.
• Proven experience managing and maintaining large keyword repositories (1000+ keywords).
• Experience working with QNX OS, POSIX systems, Hypervisor-based virtualization, and Cloud environments (AWS).
• Solid understanding of Git version control, branching strategies, and CI/CD workflows.
• Experience with UI and device automation tools such as Appium and Selenium.
• Strong analytical, debugging, and problem-solving skills with the ability to work independently.
• Excellent communication skills and experience working in cross-functional teams.

Preferred Qualifications

• Experience in mobility, embedded systems, aviation, or high-volume regression environments.
• Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models.
• Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field.

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Job Title: Statistical Programming Analyst

Location: Columbia, SC

Contract duration: 6 Month contract with potential for extension or conversion

Job Summary

We are seeking a Statistical Programming Analyst III to join our Research & Analysis team in a partially onsite role, responsible for developing and delivering data-driven reports using large healthcare datasets. This role focuses on ensuring data integrity, executing routine monthly reporting processes, and creating ad hoc analyses to meet customer needs through statistical programming and data interpretation using tools such as SAS, SQL, and/or Python, with a transition toward Python and expanded data visualization capabilities.

Key Job Responsibilities:

• Ensure data integrity by validating and supporting monthly data warehouse table loads
• Execute standard and routine reporting processes using updated datasets
• Develop and deliver recurring and ad hoc reports based on customer requirements
• Use statistical programming (SAS, SQL, and/or Python) to extract, manipulate, and analyze large healthcare datasets
• Perform mathematical computations and data interpretation to generate meaningful insights
• Collaborate with internal teams, external vendors, and CMS stakeholders to understand reporting needs
• Translate technical findings into clear, concise reports and documentation for both technical and non-technical audiences
• Create and maintain detailed documentation for reporting processes and outputs
• Support the transition of existing processes to Python and contribute to enhancements in data visualization, dashboarding, and modeling
• Adapt to evolving tools, systems, and requirements within a dynamic contract environment

Job Qualifications:

• Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field
• Minimum of 4 years of experience in statistical programming or statistical data interpretation
• Strong experience with statistical programming and reporting (SAS, SQL, and/or Python preferred)
• Proficiency with Microsoft Office applications
• Experience working with relational databases and large datasets
• Ability to perform mathematical computations and analyze complex data
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
• Experience creating clear, detailed documentation for reports and processes
• Ability to work with multiple stakeholders, including external vendors and CMS
• Adaptability to changing tools, technologies, and processes (including transition to Python and new visualization tools)
• Self-motivated, able to work independently, and comfortable solving complex problems with limited direction
• Must meet CMS security clearance and U.S. residency requirements (3 of the last 5 years in the U.S.)

Screening questions:

Do you now or in the future require sponsorship (e.g. H-1B)? Y/N

EEO and ADA Statement:

Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at:

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

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• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

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• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

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• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

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• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

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• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

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• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

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• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

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• Bachelor's degree or equivalent international degree required.
  

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• 5 or more years of professional industry work experience since degree.
  

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• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

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• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.

Key Skills:

• 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
• Software developing experience using Python and Java Spring framework
• Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• AWS experience required with experience deploying enterprise applications in AWS
• Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes

• Software development with Python, Java, React, and various scripting languages
• Design data models and web APIs and creation of software tasks from system requirements
• Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
• Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
• Create Git Releases, pull request and code reviews
• Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
• Usage of Atlassian Tools for day to day tasks within the Scrum process
• Implement web services, data persistence access features and external interfaces
• Partner closely with front-end and database engineers to ensure features are developed holistically
• Follow Agile software development methodology and team architecture standards.
• Will need to be able to read Architecture Diagrams
• Perform test service to improve code coverage, mocking services, test driven development and unit testing
• Will modify Helm Charts, Jenkinsfiles, and Dockerfiles

• MUST BE US CITIZEN
• Bachelor's degree required
• Must be able to obtain and maintain a Public Trust security clearance
• 10+ years expereince in Software Engineering
• Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
• Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• Experience with design, development, enhancement, troubleshooting and debugging of web applications
• Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
• Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
• Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
• Experience with creating Git releases, creating pull requests, and reviewing code
• Experience monitoring dashboards utilizing New Relic
• Experience with Splunk to query logs
• Experience with Junit testing preferred
• Experience creating release instructions utilizing JIRA
• Experience developing and integrating complex software systems through the full SDLC
• Experience with Agile Scrum
• Must have strong written and verbal communication skills

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

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• Photo & Video Capture and Imaging Data Management
  
• Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  
• Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  
• Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  
• Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  
• Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.
  

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• Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  
• Ensure the lab environment is properly configured for camera testing and data collection.
  
• Support camera engineering teams by maintaining testing equipment, scenes, and workflows.
  

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• Develop and enhance Python-based tools for image quality analysis and evaluation.
  
• Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  
• Support development of test scenarios for both lab setups and real-world capture conditions.
  
• Work with tools such as FFmpeg for video analysis and processing.
  
• Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.
  

• 
  
• Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  
• Strong interest in camera imaging, photography, or image quality evaluation.
  
• Basic knowledge of Python programming.
  
• Ability to manage large datasets and organize technical data efficiently.
  

• 
  
• Experience with image or video processing tools.
  
• Familiarity with Android Debug Bridge (ADB).
  
• Knowledge of MATLAB, Python scripting, or FFmpeg.
  
• Exposure to computer vision, image quality analysis, or camera testing.
  
• Understanding of image datasets used in machine learning workflows.
  

Job Title: SDET / QA Automation Engineer

Location: Mount Laurel- NJ

Duration: Long Term

Job Description:

Job Summary:

We are seeking a highly skilled and experienced SDET / QA Automation Engineer with 8 to 10 years of expertise in Python, JavaScript, and modern automation frameworks. This position involves developing automation solutions, microservices, and test scripts while validating end‑to‑end network components and their behavior. The candidate should have strong domain knowledge in networking and cable technologies, with the ability to collaborate effectively with clients and cross‑functional teams.

Key Responsibilities:

• Develop microservices using Python, NodeJS, and Golang as part of automation and service validations.
• Develop standalone Python/NodeJS scripts to simulate network traffic and validate performance across different endpoints.
• Create Proof of Concepts (POCs) based on client needs and actively participate in client demos and technical discussions.
• Lead the creation of test strategies and manage test environments with both physical and virtual device setups.
• Create comprehensive test scenarios and automated test scripts using MochaJS, ensuring robust coverage of functional, integration, and regression test cases.
• Design reusable test components, validate API and microservice behavior, and integrate MochaJS test suites into the existing automation framework to enhance reliability and execution efficiency.
• Collaborate with cross‑functional teams to refine requirements, improve test coverage, and ensure smooth integration with CI/CD pipelines.
• Gather requirements and perform detailed analysis for new automation scenarios and test case development.
• Support manual and automation testing across applications, devices, and servers as required.
• Ensure code quality using tools like SonarQube and adhere to strict QA standards.
• Provide technical guidance, troubleshooting support, and mentorship to team members on tasks and issues raised by the client.
• Maintain version control and branching strategies using GitHub, ensuring high code integrity and traceability.
• Monitor automation execution, analyze failures, and drive root‑cause investigations to improve overall product quality.
• Document technical workflows, automation processes, and test scenarios to ensure long-term maintainability and knowledge sharing.

Required Skills & Experience:

• 8-10 years of experience in QA/SDET automation roles.
• Strong programming knowledge with Python and JavaScript.
• Good hands-on experience with Go Lang and NodeJS.
• Hands-on experience with MochaJS for scripting and automated testing.
• Excellent knowledge with web technologies like REST, SOAP, XML and JSON
• Proficiency in API testing using Bruno/ Postman.
• Familiarity with GitHub for version control and Jira for project tracking.
• Excellent domain knowledge in Network and cable domain
• Should be familiar with IMS architecture and SIP protocols.
• Good problem-solving and debugging skills.

Should have good communication and client interaction skills.