Staff Java Software Engineer

SailPoint is a leader in identity security for the cloud enterprise, providing AI- and ML-powered solutions through its Identity Security Cloud Platform. The Staff Java Software Engineer will drive engineering excellence and architectural direction by designing, building, and deploying scalable, reliable microservices, while providing technical leadership and resolving complex issues. The role also involves developing Java software, leading proofs of concept, and supporting critical systems.

Responsibilities:

• Produce designs and rough estimates, and implement features based on product requirements
• Partner with cross-functional teams to design, build, and deliver high-quality software
• Provide hands-on technical leadership, ensuring the team focuses on the right problems and builds practical, right-sized solutions without adding unnecessary complexity
• Review code and offer constructive, actionable feedback to maintain high engineering standards
• Troubleshoot and resolve complex technical issues across the stack
• Lead POCs, research new tools, frameworks, and methodologies to enhance team efficiency
• Thrive in a dynamic environment, staying effective while juggling multiple concurrent priorities
• Share support of critical team systems by participating in on-call rotation

Requirements:

• 8+ years of professional software development experience
• Strong Java experience
• Deep Experience working with one or more from the following: Cloud/AWS, IAM/IGA, Compliance, Security and Privacy
• Advanced experience with large scale databases, and related technologies
• Expertise with messaging, queues, and events, such as Redis or Kafka
• Deep understanding of modern architectural patterns for SaaS systems (e.g., microservices, event-driven architecture, distributed systems)
• Strong communications skills, including the ability to understand requirements and persuasively articulate technical solutions at the appropriate level of technical depth
• Excellent interpersonal skills and a positive, "can-do" attitude
• Independent, highly motivated engineer who drives work forward with minimal oversight
• Advanced experience with an object-oriented programming language and techniques
• BS in Computer Science, or a related field
• Familiarity with big data ecosystems, including Airflow-based ETL workflows, data lake architectures, or platforms like Snowflake, Databricks, or cloud-native data-lake services
• Experience with Continuous Delivery
• Hands-on experience building and tracking service-level objectives (SLOs) with contemporary monitoring/observability platforms (e.g., Grafana, Prometheus, Datadog)
• Familiarity with AI/Machine Learning
• Experience instrumenting code for gathering production performance metrics