Staff Software Engineer

About the role

We’re looking for an outstanding Staff Software Engineer who can join an established team and lead/support multiple projects. The Staff Software Engineer will use their hands-on expertise in Software development to expand and optimize architecture, data flows, infrastructure, APIs, and automation to support the Epsilon PeopleCloud Platform.

Responsibilities

• Collaborate with the engineering and architecture leadership to plan for new features, architect solutions, develop API data services, and monitor and maintain platform reliability.
• Responsible for writing code and maintaining/enforcing coding standards. Candidate will be expected to be involved in several projects and should be comfortable multi-tasking.
• Collaborate with the team for QA automation to define test cases and help resolve code issues.
• Identify areas of opportunity for optimization by eliminating redundancies and improving automation and operational efficiency.
• Lead the engineering team during technical discussions, planning, and code review sessions.
• Collaborate with other engineers, architects, product managers and product support teams.
• Lead evaluation sessions with internal/external vendors/teams to drive enhancements to systems architecture designs.
• Lead communities of practice across various software engineering teams to expand the use of new and leading technologies.
• Oversee, motivate and mentor a small team of developers.

Qualifications

• Bachelor's or Master's degree in computer science or electrical engineering.
• 10+ years hands-on software engineering experience.
• 5+ years in a cloud deployment environment.
• Must have experience leading/mentoring small engineering teams.
• Highly skilled in at least one programming language (Python, Java, or Scala).
• Practical knowledge of at least one major cloud service (AWS, Azure, GCP).
• Expertise in data warehousing, data streaming, and relational databases.
• Strong understanding of SQL.
• Strong knowledge of Databricks, Unity Catalog, Delta Lake, Workflows, Live Tables.
• Good understanding of Apache Spark.
• Strong knowledge of IaC tools like Terraform or Ansible.
• Experience with various CI/CD tools.
• Strong knowledge of data structures, algorithms, and techniques to tune software for maximum performance.
• Outstanding communication skills and the ability to work well within agile scrum environment and within tight deadlines.
• Experience working with containers in Docker and Kubernetes.
• Experience in Test Driven Development Practices.
• Experience working in global agile scrum teams.
• Understanding of AI concepts.
• Experience working in spec driven AI assisted development.
• Experience with RAG (Retrieval Augmented Generation) architectures.
• Experience with Agentic AI systems (tool using agents, orchestration, multi step reasoning workflows).