Senior Automation Engineer, Actimize(Python, Automation Testing)

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We’re looking for a talented and motivated Senior Automation Engineer (Data Science) to join our Analytics & Data Science team. If you thrive in a fast-paced environment, love building robust automation frameworks, and enjoy collaborating across Data Science, DevOps, and Product teams—this role is for you.

You’ll be at the forefront of validating ML/AI-driven models, containerized applications, and enterprise-scale data systems. You’ll help us fight financial crime by ensuring our solutions are scalable, reliable, and high-performing.

How will you make an impact?

You’ll work with cutting-edge technologies and contribute to the delivery of high-quality analytics platforms. Your work will directly impact the accuracy and stability of ML models used to detect fraud, money laundering, and compliance violations.

Here’s what you’ll be doing:

• Designing and maintaining automation frameworks for ML models, data pipelines, and analytics solutions.
• Validating containerized ML models in Kubernetes environments using Helm.
• Performing performance testing (load, stress, scalability) of ML models.
• Configuring Kubernetes resources (CPU, memory, pods) for optimal performance and cost efficiency.
• Setting up and managing cloud-based test environments (AWS/Azure/GCP).
• Translating functional requirements into detailed test strategies and automated suites.
• Automating manual testing processes using Python, SQL, and other tools.
• Collaborating with Data Scientists to validate model outputs for accuracy and compliance.
• Conducting data validation, ETL testing, and automation of pre/post-processing tasks.
• Generating client-facing performance reports with actionable insights.
• Partnering with DevOps teams to enable CI/CD pipelines and SaaS delivery.
• Identifying gaps and proposing best practices for testing standards and process improvements.

Have you got what it takes?

• 5–7 years of experience in automation engineering, QA, or ML/data testing.
• Strong proficiency in Python, Pandas, NumPy, and SQL; exposure to Scala is a plus.
• Experience with test automation frameworks and data validation.
• Solid understanding of ML model lifecycle and deployment methods (PMML, JAR, containers).
• Hands-on experience with Kubernetes and cloud platforms (AWS, Azure, GCP).
• Exposure to performance testing tools and resource optimization.
• Strong background in data handling (ETL, large datasets).
• Familiarity with CI/CD pipelines and DevOps tools.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities.

Bonus points if you have:

• Knowledge of Actimize solutions and experience in Fraud/AML/Finance domain.
• Experience with Agile methodologies and cloud-based SaaS delivery models.
• Exposure to distributed environments and test automation at scale.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 8569

Reporting into: Tech Manager

Role Type: Individual Contributor