Top Engineering Jobs

Leads the data infrastructure platform team responsible for production services supporting batch, streaming, analytics, and machine learning workloads. Oversees people leadership, platform strategy, reliability, security, scalability, cost efficiency, incident response, roadmap execution, and cross-functional collaboration. Builds self-service developer experiences, standardized CI/CD, observability, infrastructure automation, and service ownership practices across Airflow, Flink, Spark, Kafka, Snowflake, Iceberg, AWS, and ML platforms.

Owns quality assurance for SailPoint’s Data Access Security SaaS product. Develops and executes UI, API, integration, regression, and end-to-end tests across distributed microservices, connectors, data classification, permissions, activity monitoring, and compliance workflows. Partners with developers and customers to reproduce defects, verify fixes, improve test coverage, and establish release testing strategies. The role also contributes to Scrum planning, test automation, quality metrics, and cross-team testing initiatives.

Lead the architecture, development, scaling, and modernization of Java-based AWS microservices and full-stack web interfaces. Build RESTful APIs, responsive UIs, automated testing pipelines, telemetry, and continuous delivery workflows. Optimize distributed systems for resilience, scale, and low latency while driving architecture discussions, code reviews, technical sizing, and mentorship across the engineering organization.

Develop, maintain, and execute automated, functional, regression, performance, and system-level tests for SailPoint IdentityIQ. Create test plans and cases, configure application and database server environments, debug product configuration issues, review technical documentation, and coordinate testing activities within Agile teams. Collaborate with product managers, software engineers, architects, and distributed stakeholders while supporting escalations and contributing to test strategy and roadmap planning.

Lead design and delivery of scalable Salesforce solutions, provide technical leadership on implementations and integrations, enforce development best practices, manage data modeling and migrations, optimize platform performance, collaborate with stakeholders, and mentor developers to ensure secure, maintainable Salesforce architecture.

Operate AI-assisted identity migration and demonstration pipelines, review and validate LLM-generated analyses and configurations, and remediate SailPoint Identity Security Cloud environments. Troubleshoot pipeline and product issues, create sales-ready deliverables, support proof-of-value engagements, and improve agentic tools, prompts, playbooks, and evaluation processes. Collaborate with sales, solution engineering, product, professional services, customer success, and forward-deployed engineering teams.

Lead technical strategy and engagement for SailPoint's agentic products in Japan. Drive success through customer workshops, partner enablement, and influence product development.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

Lead enterprise-scale service mesh implementation across AWS EKS clusters and hundreds of microservices. Establish Kubernetes standards, operate production infrastructure, improve GitOps and CI/CD automation, support PCI DSS compliance, mentor engineers, and drive reliability, observability, capacity planning, incident response, and global platform architecture for a 24/7 SaaS environment.

Senior Software Engineer to design and deliver Golang-based microservices, mentor a small pod, estimate and implement features, produce unit and end-to-end tests, collaborate on design and code reviews, improve SDLC, and apply SRE observability practices while working with cloud-scale data stores such as Snowflake, DynamoDB, and Cassandra.