Software Engineering Specialist

Who are we

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit

At Amdocs, our mission is to empower our employees to Live Amazing, Do Amazing every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

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In one sentence

Responsible for the design, development, modification, debugging and/or maintenance of software systems. Works on specific modules, applications or technologies, and deals with sophisticated assignments during the software development process.

What will your job look like

• Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and integration solutions for structured, semi-structured, and unstructured data.
• Build and optimize distributed systems for data ingestion, transformation, and storage from diverse sources (relational, event-based, unstructured).
• Implement frameworks to monitor, troubleshoot, and ensure data quality and integrity.
• Develop and operate large-scale data storage and processing solutions using cloud-based and distributed platforms (Data Lakes).
• Leverage multi cloud data technologies to develop data platform as a product.

All you need is...

• Total experience required 5 to 8 years.
• Strong expertise in Python, SQL, and Spark (Py Spark preferred).
• Strong problem-solving, system design, and programming skills.
• Solid understanding of distributed systems and data engineering principles.

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  Hands-on experience with Databricks, Kafka, Docker, and Kubernetes.
• Experience with at least one major cloud platform: Azure, AWS, or GCP.

Nice to Have

• Experience with Java, Spring Boot, and Microservices architecture.
• Exposure to CI/CD pipelines and DevOps practices.
• Experience developing AI-driven tools or copilots using GenAI APIs.

Why you will love this job:

• Build and enhance data engineering solutions using modern cloud and AI technologies.
• Partner with architects and product teams on design and implementation.
• Drive the use of GenAI to improve developer productivity and platform capabilities.
• Contribute to code reviews, technical discussions, and process improvements.