RingCX is RingCentral's next-generation AI-powered Contact Center solution, designed to deliver seamless, intelligent, and personalized customer experiences across digital and voice channels. Built with a modern microservices architecture and deep AI integrations, it empowers businesses to automate, analyze, and act in real-time. Join us in shaping the future of customer engagement - where speed, empathy, and intelligence converge. Be part of a team that's redefining how the world connects.
We're currently looking for: Senior Engineering Manager This role will play a critical leadership role in driving RingCX's Analytics roadmap, modernizing our analytics stack, ensuring KPI integrity, and building long-term analytics ownership in India.
To succeed in this role you must have experience in the following:
Hands-on experience in Java designing and operating ETL pipelinesusing tools such as Airflow, Spark, Apache Beam, or AWS Glue.
Strong understanding of relational databases, data model design and good knowledge of SQL
Strong working knowledge of modern analytical datastoressuch as ClickHouse, BigQuery, Snowflake, or Redshift.
Understanding of design patterns and can design and implement extensible & reliable systems.
Experience in at least one of public cloud (AWS, GCP or Azure, AWS is preferred)
Experience deploying analytics systems on cloud platforms (AWS/GCP/Azure)and operating them at scale using Kubernetes and CI/CD pipelines.
Proven experience leading analytics or reporting platforms at scale, including ownership of data pipelines, KPI definitions, and customer-facing analytics.
Demonstrated success in migrating analytics systemsfrom legacy BI tools (e.g., GoodData, Tableau, Looker, Power BI) to modern or open-source analytics stacks, while ensuring metric parity and data correctness.
Ability to drive analytics initiatives cross-functionally, partnering closely with Product, Analytics, Data Engineering, and customer-facing teams.
Familiar with performance, security and accessibility considerations in building solutions
Nice to Have
Experience with high-volume, event-driven analytics(e.g., contact center, telemetry, or real-time metrics) using Kafka, Spark Streaming, or Flink.
Familiarity with data quality, observability, and reconciliation practices, including parallel runs, metric validation, and customer-facing data audits.
Responsibilities:
Lead a team of software engineers to take care of end-2-end product development.
Communicate with product, design, program and SRE teams as well as local and remote teams.
Hiring, retention and work with a motto of building top-performing engineering team
Close collaboration with product management on the requirements, involved in quarterly planning, Bi-weekly sprint planning for the team.
Contribute with actual development by doing hands-on coding, code reviews, leading design and architecture discussions (50% of time spent on technical, 50% on management)
Deliver complete projects based on roadmap priorities while owning the delivery and quality of software your team delivers
Team mentorship and collaboration, performance management, soft skills development, regular 1:1s with team members, unblock, help team members, coordinate daily and sprint activities
Effectively communicate with management on design, technology and project status
Qualifications:
Bachelor's degree in Computer Science, Engineering or a related field or equivalent
15+ years of Software Engineering experience
3-5 years as leading a full function team with more than 5 people
Strong troubleshooting skills with production systems
Strong communications, interpersonal and collaboration skills
Any Contact Center or Telecommunications experience is a plus.
