Role Description:

We’re looking for an experienced Software Development Engineer in Test (SDET) to join our Software Quality team and help lead our test automation strategy across the Mill ecosystem — spanning embedded firmware, mobile apps (iOS/Android), web, and cloud platforms. This role will play a key part in shaping our end-to-end quality strategy and building the frameworks that ensure reliability and scalability in our rapidly evolving products.

Key Responsibilities

• Collaborate closely with the engineering team to design and develop Mill’s automated test infrastructure.
• Design, implement, and scale automation frameworks covering embedded firmware, mobile applications, web, and cloud services.
• Interface with cross-functional leaders (Product, QA, Engineering, TPMs) to translate product requirements and feature requests into well-defined, structured test plans.
• Drive automation initiatives — mentor QA engineers, explore emerging tools, and champion best practices in test engineering.
• Establish and maintain reliable processes and tooling for test script development, integration, and execution.
• Partner with Developers, QA Engineers, Firmware Engineers, Software Engineers, Product Managers, and TPMs to ensure robust end-to-end product quality across all layers of the stack.

Minimum Qualifications

• B.S. in Computer Science, Computer Engineering, or a related field.
• 8+ years of experience in software development and testing roles.
  Strong programming skills in Python, Java, and JavaScript.
• Deep understanding of software design principles, automation frameworks, and quality engineering across mobile, cloud, and firmware systems.
• Excellent written and verbal communication skills, with the ability to produce clear technical documentation and architecture diagrams, and collaborate effectively with cross-functional teams.
  

Preferred Qualifications

• Hands-on experience using Python and Java in production-grade automation.
• Proven record of shipping and scaling consumer-facing products with high reliability and performance.
• Experience working in fast-paced, agile environments (Scrum/Kanban) with startup-level velocity.
• Camera systems or computer vision testing experience is a strong plus.
• Expertise in CI/CD pipelines and automated integration/system testing (e.g., Jenkins, GitHub Actions).
• Proficiency with GitHub (version control) and project tracking tools such as JIRA.

The estimated base salary range for this position is $190k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.

You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.

What You'll Own

• Test infrastructure, test data, test processes across the entire product portfolio while working with Devops and Infrastructure engineers
• Test Framework - build and enhance automated testing frameworks and tools that facilitate automated testing across different layers of application.
• The reliability bar for all Web applications, Mobile applications and AI agent outputs — from hallucination detection to latency regressions and tool-call correctness
• Test infrastructure, test data, and test processes across the entire product portfolio, alongside DevOps and Infrastructure engineers
• Automated testing frameworks that span all layers of the application — unit, integration, contract, and end-to-end
• Evaluation frameworks designed for LLM-based systems: non-deterministic output scoring, prompt regression, and adversarial test suites
• HIPAA-aware test data management — de-identification pipelines, synthetic data generation, and audit trail validation
• Integration of automated tests into CI/CD pipelines for continuous delivery confidence
• Build stability monitoring and release gate enforcement before any deployment
• Documentation of test plans, test results, and evaluation standards to support knowledge sharing
• The "safety net" for product quality — you define what done looks like

What We're Looking For

• 8+ years of hands-on SDET experience, with recent work building or testing agentic AI systems (single- or multi-agent) in production
• Experience in healthcare or life sciences — you understand what's at stake when a system fails in this domain
• A true tester's mindset: you seek out edge cases, adversarial inputs, and failure modes others overlook
• Proficiency across the full test pyramid — unit, integration, system, performance, and exploratory — plus familiarity with LLM-specific evaluation approaches
• Strong debugging skills across multi-tier web and mobile architectures; comfortable jumping into production incidents
• Proficiency with testing frameworks such as Jest, React Testing Library, Supertest, and pytest.
• Hands-on experience with testing tools like Cypress, Playwright, Supertest, and pytest (including requests or Selenium-based testing)
• Experience testing RESTful APIs using tools like Postman or Supertest
• Solid command of JavaScript and Python

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Experience with red-teaming or adversarial testing of AI systems
• Native mobile testing experience (iOS, Android)
• Prior work with 21 CFR Part 11, GxP, or similar regulated-software validation frameworks

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter

Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

About the Role

We are seeking a Senior Mobile SDET to take full end-to-end ownership of the mobile automation domain for the NX mobile client. This is a strategic role for a high-autonomy engineer who will not just execute, but define the direction of how we validate our mobile product.

We are looking for a Domain Owner—someone who can evaluate our current internal tools, identify their limitations, and drive the transition toward a scalable, industry-standard mobile automation stack. You will lead decisions on tools, frameworks, and infrastructure, ensuring our mobile validation is fast, reliable, and deeply integrated into the development lifecycle.

What you’ll be doing

Strategy & Ownership

• Drive the Mobile Strategy: Define and execute a mobile automation roadmap, evolving the current approach into a scalable and reliable system, choosing the right approach for the NX mobile client.
• Tooling Decisions: Evaluate and select automation frameworks and tools based on clear technical tradeoffs (e.g., Appium vs. native vs. custom solutions).
• Scalability & Evolution: Design a scalable testing architecture that balances CI speed, device/emulator usage, and the trade-off between stability and test coverage.
• Continuous Improvement: Drive the long-term evolution of the automation stack, ensuring it keeps pace with the product’s growth and system architecture.

Framework Design & Engineering

• Build & Evolve: Architect and maintain robust, scalable automation frameworks that support high-speed, parallel execution.
• System Thinking: Align the automation approach with the overall system architecture, ensuring tests are performed at the most efficient level (API, Integration, or UI).
• Stability First: Proactively engineer solutions to systematically reduce flakiness and improve reliability over time, ensuring the CI pipeline provides a "green" signal that developers can trust.

Cross-Functional Leadership

• Bridge the Gaps: Partner closely with Dev, QA, and Infrastructure teams to align mobile automation with CI/CD pipelines and system requirements.
• Identify & Solve: Proactively identify gaps in quality processes across teams and drive the implementation of improvements without waiting for direction.

What you bring

• 5+ years of commercial experience in software engineering or test automation, with a proven track record of owning complex domains.
• Strong Programming Skills: Expertise in modern software design patterns. Python is preferred, but we value general engineering excellence; the ability to ramp up and lead in Python quickly is expected.
• Mobile Expertise: Deep, hands-on experience automating mobile applications on both Android and iOS.
• Infrastructure & Scaling: Experience managing mobile testing environments (real devices, emulators/simulators) and integrating them into high-scale CI/CD pipelines.
• System-Level Thinking: Ability to operate in ambiguity and make architectural decisions based on product constraints and long-term goals.

Nice to Have

• Infrastructure as Code: Experience with Docker, Kubernetes, or GitLab CI for orchestrating mobile test environments.
• Qt Framework Knowledge: Familiarity with testing applications built on Qt.
• Web Automation: Experience with modern web tools like Playwright.
• AI Integration: Real-world experience or strong opinions on using AI-assisted tools to accelerate framework development and maintenance.

Behavioral Expectations

• You operate with a "Driver" mindset: takes full responsibility for the domain and moves forward without needing constant clarity or direction.
• You think in terms of tradeoffs and ROI: knows when to build, when to buy, and what to prioritize for maximum impact.
• You work within real-world constraints (CI limits, device availability, system complexity) and prioritize for maximum impact.
• You act as a technical mentor and consultant for other teams regarding mobile quality and infrastructure.

What we offer

• Competitive compensation  
• Paid time off
• Flexible working hours
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote
The position is ideally a hybrid role and the office is located in Burbank, CA. We will also consider candidates in Walnut Creek, CA and Portland, OR. We will also consider fully remote format.

Please note: We do not accept unsolicited resumes from third-party recruiters or staffing agencies. Any unsolicited resumes sent to our employees or submitted to our careers page or job postings without a formal agreement in place will be considered property of Network Optix, and no fees will be paid in the event that candidate is hired by the company.

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. In this role, you will build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across our data infrastructure. You will partner with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics, where accuracy directly impacts how our clients measure the performance of their TV ad spend.

Responsibilities

• Build and maintain data validation frameworks for critical measurement and reporting pipelines
• Develop automated data quality checks across ingestion, transformation, and reporting layers
• Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
• Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
• Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
• Define and enforce data quality standards for new feature launches and pipeline changes
• Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
• Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence

 Qualifications

• 5+ years in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation
• Strong proficiency in Python and SQL, including experience with relational and cloud-hosted databases
• Experience building test automation and validation frameworks for data pipelines, APIs, and microservices using pytest or similar tools
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks) and cloud data infrastructure
• Experience with data quality frameworks such as Great Expectations is a strong plus
• Comfortable working across engineering, data science, and product to communicate data quality standards and tradeoffs to both technical and non-technical stakeholders
• Detail-oriented with strong analytical skills and a genuine commitment to data accuracy and engineering excellence
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office. 

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID 

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. In this role, you will build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across our data infrastructure. You will partner with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics, where accuracy directly impacts how our clients measure the performance of their TV ad spend.

Responsibilities

• Build and maintain data validation frameworks for critical measurement and reporting pipelines
• Develop automated data quality checks across ingestion, transformation, and reporting layers
• Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
• Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
• Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
• Define and enforce data quality standards for new feature launches and pipeline changes
• Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
• Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence

 Qualifications

• 5+ years in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation
• Strong proficiency in Python and SQL, including experience with relational and cloud-hosted databases
• Experience building test automation and validation frameworks for data pipelines, APIs, and microservices using pytest or similar tools
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks) and cloud data infrastructure
• Experience with data quality frameworks such as Great Expectations is a strong plus
• Comfortable working across engineering, data science, and product to communicate data quality standards and tradeoffs to both technical and non-technical stakeholders
• Detail-oriented with strong analytical skills and a genuine commitment to data accuracy and engineering excellence
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office. 

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID