Senior Quality Engineer

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🔥 21 minutes ago

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a seasoned Senior Quality Engineer to join our QE org and lead quality on FinData portfolio. • In this high-impact role, you will be accountable for architecting the quality standards that underpin our next generation of market intelligence. • Your remit is to define how we build, test, and operate in an AI-centric ecosystem. • You will lead quality initiatives that ensure our engineering workflows are robust, scalable, and AI-boosted. • You will be a key leader in establishing "AI-First" as our standard operating procedure, defining the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale.

🎯 Requirements

• Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes. • Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java • Proficiency in testing methodologies and deep understanding of the QA domain and theory • Experience with Test Management Systems (e.g., Allure TestOps) • Excellent test design skills and experience in API testing • Experience with UI test automation frameworks (e.g., Playwright) • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes) • Strong understanding of continuous delivery • Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place • Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority • Strong communication skills and ability to collaborate with stakeholders across multiple portfolios • Bonus points if you have: • Experience in setting up and configuring CI/CD tools and pipelines • Good understanding of GraphQL • Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions • Financial data domain knowledge • Experience testing backend/data pipeline • BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology.

🏖️ Benefits

• You may also be offered equity, and a generous benefits program.