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Job Title: Sr. Automation Engineer

Location: Hillsboro, OR

Duration: Long Term

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.

Must be local to TX

Role Overview

• He’s ideally looking for someone with 13+ years of experience, strong architecture depth, and the ability to clearly explain designs.
• Must have experience using AI is used in day‑to‑day development.
• Must have experience as a API Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Job Summary

We are seeking a Principal-level Full Stack Lead Developer with 13+ years of experience to drive high-priority engineering workstreams. This role is for a technical heavyweight who can lead new projects in parallel with existing leadership while maintaining exceptional architecture depth. You will be responsible for the full lifecycle of high-performance FastAPI and React applications, ensuring they are resilient, observable, and scalable. We expect a leader who views AI development tools as a force multiplier for velocity and can clearly articulate complex design decisions to stakeholders.

Key Responsibilities

• Project Sovereignty: Independently lead and deliver new, complex workstreams from inception to launch, acting as a technical peer to existing leadership (e.g., Sai).
• System Architecture: Design and defend distributed microservices and event-driven architectures. You must be able to clearly whiteboard and communicate design patterns to both technical and non-technical audiences.
• Hands-on Execution: Maintain high-velocity output of clean, production-grade code using FastAPI (Python) and React (TypeScript).
• Platform Reliability: Architect and implement global Error Handling frameworks, centralized Logging (e.g., OpenTelemetry, ELK), and API Management strategies including Rate Limiting and versioning.
• Event-Driven Messaging: Oversee the implementation of asynchronous service communication using ActiveMQ or AWS EventBridge.
• AI-Augmented SDLC: Deeply integrate AI coding tools (e.g., CloudCode, Cursor, GitHub Copilot) into daily workflows to accelerate prototyping, refactoring, and automated testing.
• Engineering Mentorship: Foster a culture of excellence through rigorous code reviews and by unblocking senior engineers on complex technical hurdles.
• Product Collaboration: Work closely with Product Managers to turn high-level roadmaps into technical reality, providing accurate estimates and identifying technical risks early.

Required Skills & Qualifications

• Experience:13+ years of professional software development with a proven track record of leading large-scale products.
• Tech Stack Mastery: Expert-level FastAPI (Async Python) and modern React (Hooks, TypeScript, Performance Profiling).
• Advanced Governance: Hands-on experience with API Gateway patterns, request throttling, and securing distributed systems (OAuth2/JWT).
• Observability & Messaging: Deep knowledge of structured logging, distributed tracing, and message brokers (ActiveMQ or EventBridge).
• AI Tooling: Advanced proficiency in using AI tools for Fast Development to reduce manual overhead and multiply team output.
• Database & Infrastructure: Expert-level PostgreSQL (tuning/indexing), Redis (for caching/rate-limiting), and container orchestration (Kubernetes/Docker).
• Communication: Exceptional ability to translate technical "scars" and architectural risks into clear business impact.

Title: Full Stack Developer with AI

Duration: 12 Months+

Location: Spring, TX

Type: Onsite

We are seeking a Full Stack Developer who will contribute to building scalable backend services including platform and utility modules application. You will also play an active role in implementing GenAI use cases using modern agentic frameworks.

You will collaborate with product owner, trading fusion developers, data engineers, and other full stack developers across regions.

Responsibilities?:?

• Platform Engineering & Support
• Develop, enhance, and support components of the Global Trading App platform
• Implement monitoring, alerting, and telemetry capabilities using modern observability tools
• Improve platform reliability, scalability, and performance through proactive engineering
• Author infrastructure-as-code using Terraform for cloud resources

Application & Service Development

• Build secure and scalable backend APIs (primarily in Python / FastAPI)
• Create responsive and efficient React-based UI components
• Develop reusable utility modules for fusion teams to accelerate delivery

GenAI & Agentic Solutions

• Implement GenAI-powered features using LLMs, vector databases, and multi-agent frameworks
• Develop “agentic” workflows for automation, troubleshooting, and developer productivity
• Build model integration and evaluation

Collaboration & Standards

• Contribute to engineering best practices and documentation
• Work closely with global trading fusion teams to ensure alignment and technical excellence

Qualifications?:

• Python (advanced): APIs, data processing, async programming
• React: modern component-based UI development
• FastAPI: building high performance backend services
• DBT: data engineering and transformation
• GitHub/CI/CD: strong version control and build pipeline experience

Preferred Skills:

• Terraform, Azure, AWS: infrastructure provisioning and automation
• Databricks, Snowflake
• GenAI / Multi-Agent
• Experience implementing solutions using LLMs, embeddings, prompt engineering
• Familiarity with agentic coding frameworks (e.g., LangChain, AutoGen, OpenAI agents, etc.)
• Understanding of RAG, model orchestration, and AI application patterns

Soft Skills:

• Strong problem-solving skills and ownership mindset
• Ability to work in global, cross-functional teams
• Clear communication and documentation abilities
• Comfort operating in fast-paced, high-availability environments
• Adaptability and willingness to learn new technologies and methodologies

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Senior Pega Developer ( Pega / Python / CDH )

Optomi, in partnership with, an enterprise Telecom client, is seeking a Senior Pega Developer to sit in their Stamford, CT office! There is a hybrid structure of 4 days on site in the office, with flexibility for working from home once weekly. This position requires hands-on experience developing with Pega systems, ideally Customer Decision Hub (CDH) with Python for scripting.

What the Right Candidate Will Enjoy:

• 2025 Awards include "Forbes Accessibility 100", "Fortune America's Most Innovative Companies", "Forbes America's Best Employers for Tech Workers", etc.
• Directly develop applications impacting over 25M+ customers across 41 states!
• A hybrid office structure that allows for working from home!

Experience of the Right Candidate:

• Proven track record with 5-6 years of experience working with Customer Decision Hub (CDH), demonstrating deep understanding and ability to leverage CDH for personalized customer interactions and decisioning.
• Certifications: Relevant Pega certifications are required (e.g., Certified Pega Business Architect, Certified Pega System Architect).
• Python: Strong proficiency in Python for scripting and automation tasks, with experience in integrating Python solutions within Pega applications.
• SQL: Solid experience with SQL for database management and querying, including the ability to write complex queries and optimize database performance.
• Apache Airflow (Optional): Experience with Apache Airflow for orchestrating complex workflows is a plus but not mandatory.

Responsibilities of the Right Candidate:

• Develop and implement solutions using Pega CDH to enhance customer engagement strategies.
• Collaborate with cross-functional teams to design and optimize workflows and decisioning processes.
• Utilize Python and SQL to support data-driven decision-making and application enhancements.
• Optionally, leverage Apache Airflow for efficient workflow automation and scheduling.
• Strong problem-solving abilities and attention to detail.
• Excellent communication skills for effective collaboration with team members and stakeholders.
• Ability to thrive in a fast-paced, dynamic environment and adapt to evolving project requirements.

Job Title: Senior Automation Engineer

Location: Hillsboro, Oregon

Job Type: Full-Time

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).

We are seeking a Senior Lead Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Key Responsibilities

• API & Backend Development: Design and maintain production-grade RESTful APIs using Python (FastAPI, Flask) with a focus on asynchronous processing.

• Database Engineering: Architect relational schemas and write optimized SQL in PostgreSQL, ensuring data integrity and query performance.

• React Integration: Partner with frontend teams to define API contracts, handle state-consistent data fetching, and implement secure authentication (JWT/OAuth2).

• CI/CD & Deployment: Build and manage automated deployment pipelines (e.g., Azure DevOps or Jenkins) to move code from local environments to staging and production.

• Containerization & Cloud: Package applications using Docker and manage deployments on cloud platforms or container orchestrators (Kubernetes/ECS).

• System Reliability: Implement automated testing (PyTest), logging, and monitoring to ensure high availability of integration services.

Technical Requirements

• Experience: 10+ years of professional backend development with a heavy emphasis on Python and API architecture.

• PostgreSQL Expert: Advanced SQL knowledge, including indexing strategies, migrations (Alembic/Flyway), and performance profiling.

• DevOps Tooling: Hands-on experience with Docker and building CI/CD pipelines for Python applications.

• Frontend Literacy: Solid understanding of React (Hooks, Context API) and how it consumes complex JSON structures.

• Infrastructure as Code (Bonus): Familiarity with Terraform or AWS CloudFormation is a significant plus.

The "Lead" Expectation

At the 10-year mark, we expect more than just "feature delivery." We are looking for a candidate who:

• Automates Everything: If a task is done twice, they write a script or a CI job for it.

• Designs for Failure: Implements proper error handling, retries, and health checks in the API layer.

• Collaborates Across the Stack: Can jump into a React component or a Postgres execution plan to find the root cause of a bottleneck.