Responsible for the evaluation, design, development and creation/review/approval of qualification deliverables such as qualification plans, protocols and reports for qualified platforms in the Enterprise Cloud product area, ensuring platforms are implemented and maintained qualified in accordance with regulatory agency requirements and company standards.
Responsibilities
Ensure that the qualified state of platforms is maintained, keeping them audit and inspection ready.
Design, build, and maintain automated compliance checks, continuous testing, and reporting directly within the CI/CD pipeline.
Act as the technical bridge between DevOps/Engineering and the Digital Quality Assurance (Digital QA).
Develop custom scripts, hooks, CLI tools, or infrastructure-as-code modules that dynamically capture execution evidence, maintain immutable audit trails, and automatically flag compliance deviations or non-conformances.
Partner with the team leads to modernizing traditional qualification toward "Compliance as Code."
Requirements
Bachelor's or Master’s degree in Computer Science, Information Technology, Life Sciences, or a related field.
Nice to have: Experience supporting regulatory inspections and audits
Nice to have: Basic understanding of core public cloud services
Nice to have: Familiarity with Gitlab/Github, SDLC practices and CI/CD
As a Quality Engineer on the Funding Flows team, you will be at the heart of Taulia’s core mission - ensuring that billions of dollars in early payments reach the right suppliers at exactly the right time.
Compensation
The estimated annualized base salary range for this position is €43,000.00 - €50,000.00 (13th salary included).
Responsibilities
Curate detailed test plans using AI and build “Master Prompts” for test generation.
Build and maintain the Automation Frameworks and AI Agents that enable developers to generate test suites.
Act as the Product Owner for the internal suite of AI Agents (tuning, auditing, and context management).
Configure ‘Risk-Based’ Quality Gates that automatically adjust strictness based on code change risk.
Build Test Data Schemas (YAML) and Contract Definitions (JSON) to enable self-service testing.
Requirements
Bachelor’s Degree or equivalent practical experience.
Nice to have: AI coding assistants (e.g., Claude Code)
Develop and enhance Palladium Debug software using C++ on Linux.
Compensation
The annual salary range for California is $105,000 to $195,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits.
Responsibilities
Develop new features and maintain existing features in Palladium Debug software
Apply coding agents to multi-step software engineering tasks such as repository exploration, technical planning, implementation, build execution, test development, debugging, validation, and iterative refinement
Senior .NET Engineer responsible for back‑end development, architecture design, and code quality in a distributed Agile team.
Locations (2)
Málaga, Andalusia, Spain
Spain
Responsibilities
Back‑end development to meet customer’s business needs and implement components according to modern software development environment (microservice architecture)
Taking part in the decision‑making process in design application architecture, solution development, architecture and code review
Develop and review feature design documents and provide inputs/update to specifications for the solution
Design and implement a set of various types of tests (unit, integration, functional, etc)
Proactive position in solution development, processes improvements
We are seeking a detail-oriented Software Engineering Evaluator to assess and improve the quality of AI-generated software development work.
Compensation
The pay range for this position is $45000.00 - $60000.00/yr.
Responsibilities
Create realistic software engineering tasks based on real-world development workflows, including technical requirements, supporting documentation, test cases, and code repositories.
Evaluate AI-generated code solutions against professional engineering standards for correctness, maintainability, performance, and reliability.
Compare outputs from different AI systems using identical requirements and environments, documenting relative strengths and areas for improvement.
Develop test plans, evaluation rubrics, and success criteria that clearly define expected functionality, coding standards, and edge-case handling.
Review code changes, implementation decisions, automated tests, and design approaches to verify technical quality and adherence to requirements.
Requirements
Bachelor's degree (completed or in progress) in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Nice to have: containerization
Nice to have: CI/CD pipelines
Nice to have: AI-powered coding assistants
Nice to have: large language model tools such as ChatGPT, Claude, GitHub Copilot
Design, demo, and deploy Tonic solutions for customers, leading technical discovery, pilots, onboarding, and support while driving product improvements.
Compensation
Competitive compensation and equity
Responsibilities
Run technical discovery with prospects’ engineering, DevOps and QA teams
Design and demo the solution, handling hard technical questions
Scope pilots with clear success criteria and run them to decision
Own onboarding after the deal closes, deploying Tonic and configuring data pipelines
Diagnose and fix data issues, or explain them to engineers
Requirements
Bachelor's degree in a technical field (computer science, engineering, information systems, math or similar)
AI Trainer- CodingNewAston Carter · Remote, US
Solution Architect, Agent & Software TestingNewTonic AI · Remote