Staff Java Engineer (Data Integration)

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider named us an “enterprise startup to bet your career on”

• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz ranked us the #1 best company for remote workers

We are looking for a talented Staff Java Engineer to join our growing Data Integration team. In this role, you will collaborate with Product Management, CCE and Infrastructure teams to deliver Data Integration features. 

Product areas we work on:

• Data orchestration recipes

• Data movement (ELT use cases)

• Database connectivity (work with major databases at scale)

• Event streams (Kafka, JMS and RabbitMQ connectivity)

• CDC triggers (database change tracking)

• Data Insights (analytics and anomaly detection).

In this role, you will also be responsible to:

• Collaborate with senior management to align engineering goals with company objectives

• Drive the execution of the Data Orchestration roadmap, including all components of Workato database connectivity

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals

• Research and introduce new technologies, tools, and best practices to improve the engineering process

• Support the growth of other engineers by sharing knowledge and mentoring

• Work with SRE and Infrastructure teams to improve backend reliability and troubleshoot production issues

• Perform code and architecture reviews to maintain code standards and mentor others

• Contribute to all phases of the development lifecycle

• Write well-designed, testable, efficient code

• Establish a long-term strategy for feature and performance testing

• Ensure designs comply with specifications.

Qualifications / Experience / Technical Skills

• BS/MS degree in Computer Science, Engineering or a related subject

• 14+ years of industry experience

• Technical leadership experience

• Experience with cross-team communication and project delivery

• Experience in designing, building, deploying and troubleshooting production-grade systems

• Proficiency with Core Java

• Experience with Relational Databases, SQL and JDBC (one of Oracle, PostgreSQL, SQL Server, etc.)

• Experience working with Docker and other isolation technologies

• Experience working with Kubernetes and public cloud infrastructure providers (AWS/Azure/Google Cloud/Heroku)

• Experience with high-load/big-data projects

• Experience with performance tuning and performance testing

• Experience with test-driven development.

Optional Requirements

• Experience with automated performance testing is a plus

• Experience in related fields (DevOps, PKI, distributed systems, data replication, etc)

• Experience with dynamic languages (Groovy, Ruby, Javascript) is a plus

• Understanding messaging systems like Kafka and JMS is a plus.