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Senior · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 15, 2026.

Overview
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Impact
Profile match
Earnix is an Israeli software company that helps insurers and banks set prices and design products using predictive analytics. Its platform combines machine learning with rating engines so pricing changes can go live quickly. The company works with large global insurers and lenders.

Description

We are looking for a Senior Automation Engineer to join the Core Price-It team. This is an automation-first role focused on building and maintaining reliable Python-based automation for a complex product. The role is critical to validating web applications, backend services, APIs, integrations, and end-to-end business workflows. You will work closely with developers, Product, and QA peers to design and improve automated testing strategies, with particular attention to backend functionality, API validation, integration behaviour, and quality risk. You will investigate issues and keep automated coverage useful as the product evolves. Manual testing is used when it is the rightway to investigate an issue or validate a gap, but it is not the primary focus of the role.

What You Will Do

Build, extend, maintain, and improve Python-based automated test coverage for ticketed work.

Design practical coverage across APIs, services, integrations, and user workflows.

Maintain automation suites by improving reliability, diagnostics, test data, readability, and failure analysis.

Investigate incoming bugs by gathering context, reproducing issues, assessing impact, communicating findings, and helping prevent recurrence.

Work with developers and Product to identify quality risks, clarify expected behavior, and improve testability early in delivery.

Use manual testing deliberately for exploration, investigation, and validation when automation is not yet the right choice.

Use AI responsibly for learning unfamiliar areas, research, debugging, automation development and maintenance, and documentation, while retaining ownership and

verifying results.

Identify repetitive engineering and QA work that automation or AI can improve.

Requirements

You Will Do It Using

5+ years of proven QA experience, including 2+ years of recent hands-on Python automation experience.

Experience building, maintaining, or materially improving automated test suites or frameworks.

Working knowledge of the SDLC and CI/CD, including delivery pipelines, defects, regression risk, and release validation.

Experience testing APIs, services, integrations, and complex workflows.

Sound test-design, debugging, and problem-solving skills.

Ability to investigate failures and incoming bugs using evidence, reproduction, impact assessment, and clear communication.

Ability to learn unfamiliar technical or business domains and move work forward independently.

Clear written and verbal communication with developers, Product, QA peers, and other delivery partners.

Ability to use AI-assisted engineering tools responsibly, with appropriate human verification.

Advantages

Knowledge of performance testing and monitoring tools.

Experience in insurance, banking, financial services, or another complex regulated domain.

Experience improving flaky, slow, unclear, or difficult-to-maintain automated test suites.

Experience with CI/CD, including release validation.

You Will Excel By

Using strong analytical skills and attention to detail to investigate problems and assess quality risk.

Taking ownership of automation work from understanding the change through dependable coverage.

Applying quality judgment rather than treating every issue as an immediate automation task.

Making automation easier to understand, diagnose, and maintain.

Communicating quality risk early and constructively across the team.

Improving how repetitive engineering and QA work is performed.

Position Intro

Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

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