Software Engineer Staff

As a Staff Software Engineer at Uniphore, you will be integral to the development and enhancement of data platform that are at the core of our product offerings. You will collaborate with cross-functional teams of engineers, and product managers to build scalable, reliable, and high-performance software systems.

Key Responsibilities

• Create a scalable and robust platform for data engineering across multiple cloud providers.
• Design and implement applications leveraging distributed technologies like Spark, Databricks, and BigQuery.
• Design, develop and implement AI applications, staying updated on advancements in AI technology, and contributing to the company's AI strategy.
• Write clean, maintainable, and efficient code, ensuring alignment with best practices in software engineering.
• Participate in the full software development lifecycle, including requirements gathering, design, testing, and release.
• Troubleshoot, debug, and optimize existing software to improve performance, reliability, and scalability in a cloud-based environment.
• Collaborate with cross-functional teams (AI/ML, product, UX) to translate business and customer needs into technical solutions.
• Ensure adherence to security and data privacy standards in AI-driven applications, particularly when handling sensitive customer data.
• Implement and maintain CI/CD pipelines, ensuring smooth deployment and version control for software components.

Required Skills and Experience

• Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent.
• 5-7 years of software development experience.
• Strong proficiency in Java, Python and API development.
• Experience with any of the frameworks - Spring Boot, Vertx
• Expertise in databases like Postgres, MongoDB, or MySQL.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Exceptional problem-solving abilities and programming skills.
• Familiarity with software engineering best practices including version control, code review, and test driven architecture.
• Excellent verbal and written communication skills.
• Motivated to thrive in a startup environment.

Preferred Skills

• Proficiency in Spark or Managed Spark like Dataproc and Databricks.
• Familiarity with Airflow.
• Familiarity with Cloud Data Warehouses like Snowflake or BigQuery.
• Familiarity with Javascript or Typescript.
• Familiarity with containers and Kubernetes.
• Proficiency in Devops tools like Jenkins and CI/CD workflows.
• Knowledge of basic linux commands.
• Previous experience in AI research, development, or implementation projects.