pytest jobs in San Diego

Software Engineer II responsible for designing, building, and maintaining test automation frameworks, CI pipelines, and testing infrastructure that enable developer productivity across the organization. The role involves optimizing test execution, implementing E2E and integration test solutions, writing technical specifications, and supporting engineering teams with test strategy and best practices.…See more Requires 3+ years in test automation, proficiency in TypeScript and Python, hands-on Playwright and Pytest experience, and familiarity with Docker, AWS, and CI pipeline optimization.

Automation QA Engineer for a genomics/bioinformatics project in San Diego. The role requires 3+ years of QA/test automation experience with Python, developing and maintaining automated test suites using pytest, unittest, or Robot Framework.…See more Responsibilities include functional, integration, and regression testing of genomics and sequencing software; validating NGS data and sample-to-result traceability; testing LIMS integrations and laboratory workflows; and collaborating with wet-lab and dry-lab teams to create real-world test scenarios. Knowledge of NGS, LIMS, bioinformatics, and life-sciences compliance is highly valuable.

Senior Software Engineer responsible for end-to-end full-stack development, designing and building efficient Python/Django back-end services and RESTful APIs alongside React front-end features. The role requires proficiency in both JavaScript (ES6+) and Python, database design with PostgreSQL, and container-based development using OCI tools (Podman, Buildah).…See more You will own features across the entire product lifecycle—from concept through deployment—while maintaining code quality through peer reviews and TDD practices.

Design, develop, and maintain Python-based automated test frameworks using Pytest for embedded systems and software-defined radio platforms. Execute test plans, analyze results, and collaborate with developers to resolve issues.…See more Use orchestration tools like Fabric and Ansible, along with network debugging tools (Wireshark, iperf), to validate performance and manage test environments. Requires 5+ years in embedded systems test automation, strong Python proficiency, and customer-facing communication skills.

Principal Software Engineer leading architecture and development of fleet management, robotics data management, and manufacturing execution systems (MES) in C++ and Python. You will design software for station monitoring, configuration management, telemetry, logging, and specs/results tracking while setting technical direction for how the automation stack integrates with higher-level management systems.…See more The role requires mentoring engineers, driving architectural decisions on system interfaces and data flow, and maintaining rigorous code quality and engineering practices across a cross-functional team.

Senior Principal Software Engineer leading the Robotic Automation team at Monarch Quantum, responsible for architecting and maintaining complex distributed software systems that manage robotic hardware and manufacturing execution. Requires 10+ years of software engineering experience with 8+ years of professional C++ development and strong Python expertise, including experience designing fleet management, data management, or manufacturing systems.…See more The role combines hands-on coding and code/design review leadership with strategic planning, mentorship, and technical risk mitigation across C++ and Python codebases. Requires U.S. person status due to export-controlled information access.

Design, develop, test, and maintain scalable backend applications and services using Python for an enterprise technology organization. Build RESTful APIs, optimize application performance, and work with databases and cloud platforms.…See more Collaborate with DevOps teams on CI/CD and production support, participate in code reviews, and mentor junior developers within an Agile environment.

This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.…See more You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

This is a high-ownership QA role at an early-stage AI validation startup where you'll design and build testing strategy, test infrastructure, and quality processes from the ground up. You'll perform manual and automated testing of CLI tools, web dashboards, and integrations with AI coding assistants (Claude, Cursor, GitHub Copilot, etc.), validate scan accuracy, and own bug triage across multiple operating systems and language ecosystems.…See more You'll work directly with founders and engineering to build testability into the product and define QA processes as the team scales, with responsibilities spanning test case design, automated regression/integration/end-to-end testing, and release sign-off.

Staff-level engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's Delegates ML inference framework. Develops and maintains Python/PyTest-based automated test suites integrated into CI pipelines, triages failures across the ML framework, QNN runtime, and HTP hardware stack, and owns the technical handoff criteria and traceability to downstream QA/SIT teams.…See more Leverages AI-assisted tooling (Claude Code, GitHub Copilot) to accelerate test generation and failure analysis. Mentors junior engineers and sets team standards for test coverage, debugging discipline, and documentation.

Staff-level software engineer responsible for subsystem integration testing (SSIT) of ML inference delegates on Qualcomm Snapdragon SoCs. Develops and maintains automated Python/PyTest test suites integrated into CI/CD pipelines, validates on-device behavior using hardware-in-the-loop infrastructure, and triages failures across the ML framework → QNN runtime → HTP hardware stack.…See more Acts as technical liaison between development and downstream QA/SIT teams, defining handoff criteria and owning test coverage strategy for the Delegates portfolio. Mentors junior engineers and sets team standards for test architecture, coverage discipline, and defect triage.

Develop and execute comprehensive automated test plans, test cases, and regression suites for genomics and bioinformatics software applications. Perform functional, integration, regression, and data-validation testing; validate application behavior against genomics concepts (sequencing data, variant calling, sample traceability); and collaborate with wet lab and dry lab teams to translate laboratory workflows into effective test scenarios.…See more Integrate automated tests into CI/CD pipelines, maintain test data, and partner with engineering and product teams on root-cause analysis and quality issue resolution. Requires 3+ years of QA/test automation experience, strong Python skills, hands-on knowledge of genomics fundamentals, and demonstrated experience testing LIMS platforms and life sciences software.

Bioinformatics QA role focused on designing and executing comprehensive testing, validation, and automation strategies for genomics pipelines and laboratory data platforms. Responsibilities include developing automated test suites in Python, validating NGS workflows (FASTQ, BAM, VCF), performing regression and data-validation testing, and collaborating with wet lab and dry lab teams to ensure scientific and technical correctness.…See more The role requires strong Python scripting, CI/CD pipeline experience, cloud platform familiarity (AWS/GCP/Azure), and working knowledge of genomics science fundamentals including sequencing concepts and LIMS integration.

Build and integrate agentic AI systems with physical laboratory automation platforms (Hamilton, Tecan, Opentrons) and LIMS infrastructure to autonomously design, run, and refine chemistry and biology experiments. Design multi-agent orchestration architectures with state management, error recovery, and tool integration; prototype agent planning strategies and memory systems; deploy containerized services on Kubernetes with GitOps and CI/CD.…See more Work hands-on with chemists, biologists, and automation engineers to transition prototypes into production lab operations that measurably accelerate the Design-Make-Test-Analyze cycle.

Own and evolve the software translation layer between high-level workflow logic and low-level laboratory instrument control, integrating liquid handlers, plate readers, robotic workstations, and analytical instruments. Deploy and maintain containerized services using Docker, Kubernetes, GitOps, and CI/CD practices, building scalable Python applications and data pipelines that connect experimental readouts with LIMS and downstream analysis tools.…See more Collaborate with the team to prototype AI-driven decision-making and autonomous orchestration in lab workflows, evaluating LLM tooling and agent frameworks for practical applicability. Serve as a technical authority and mentor, influencing the broader technical roadmap for autonomous discovery systems and helping grow the automation engineering team's capability.

Senior full-stack engineer responsible for end-to-end feature ownership spanning Django backend and React frontend. Design, build, and maintain Python/Django code and RESTful APIs, develop React components from UI/UX prototypes, manage PostgreSQL schemas, and ensure performance across the stack.…See more Work within containerized OCI-based workflows (Podman, Buildah, Skopeo) in Linux environments, write clean documented code, and participate in peer reviews.

Lead an embedded Linux software team building mission-critical defense systems, splitting time between management and individual contribution. Design and implement C/C++ Linux daemons, REST APIs, and system services for aerial platforms and deployable manufacturing infrastructure.…See more Manage team standups, architecture reviews, and cross-functional coordination with autonomy, avionics, and mechanical/electrical engineering. Engineer for real-time performance, security, and reliability while owning developer experience, CI/CD pipelines, and field operability.

Senior Software QA Engineer responsible for validating Firestorm's avionics platform—embedded Linux and RTOS flight computers, drivers, middleware, and safety-critical interfaces. Will design and execute risk-based test strategies (feature, exploratory, regression, acceptance) across HIL/SIL rigs, build Python-driven automation for serial/CAN/Ethernet I/O and fault injection, and instrument diagnostics to isolate timing and state issues before Flight Test.…See more Expected to own system testing end-to-end, validate robustness under degraded conditions (jitter, packet loss, brownouts, watchdog resets), and collaborate with avionics, autonomy, radio, and payload teams to harden reliability on aircraft.

Senior Software QA Engineer to own system testing for Firestorm's avionics platform—embedded Linux and RTOS flight computers, board support packages, device drivers, and safety-critical data paths. You will design and execute risk-based test strategies (feature/bring-up, exploratory, regression, acceptance) and build automation across HIL/SIL rigs exercising real buses (CAN/CAN-FD, UART, SPI, I²C, Ethernet) and links (MAVLink, Tactical Data Links) under fault conditions.…See more You will instrument diagnostics, triage defects, and harden robustness for timing, jitter, packet loss, brownouts, and recovery paths before Flight Test. This is a full-time onsite role in San Diego requiring hands-on bench work with flight computers, power systems, radios, and sensors.

Lead a small embedded Linux software team building mission-critical aerial systems and autonomous platforms for defense applications. You'll split your time between team management (standups, architecture reviews, task prioritization) and hands-on C/C++ development of Linux daemons, REST APIs, and system services.…See more Design for real-time performance, security hardening, and field operability while collaborating across autonomy, avionics, mechanical, and electrical teams. Own the full software lifecycle from architecture and CI/CD pipelines to documentation and field diagnostics.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations.…See more Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.