Principal Software Engineer

Informatica is seeking an experienced Principal Software Engineer to design, develop, and evolve our core Connectivity ecosystem including APIs, connector frameworks, and cloud-native platform services. This leadership role offers a unique opportunity to shape the future of enterprise integration, enabling seamless, secure, and scalable connectivity across diverse technology ecosystems including Salesforce, AWS, Azure, Google Cloud, Oracle, SAP, and more.

This is a hybrid role.

You will work at the forefront of systems architecture, distributed computing, and developer experience - driving innovation in secure Java backend services, microservices, container orchestration, and open integration standards, while ensuring compliance with security frameworks and data protection regulations. As a Principal Engineer, you will collaborate across technical and product teams, mentor engineers, influence platform strategy, and ensure the delivery of world-class, production-ready integrations capable of handling terabytes of data with enterprise-grade reliability and security.

You will report to VP, Product Development

Java, Microservices, cloud, SDK

• Architect and lead the end-to-end development of extensible Connectivity APIs powering internal and external integrations.*
• Design and implement reusable connector frameworks tailored for key ecosystems (e.g., Salesforce, AWS, Azure, GCP, SAP) with a strong focus on maintainability, scalability, and performance.*
• Technical standards for Java-based backend services using modern best practices such as reactive programming, microservices architecture, and comprehensive observability.*
• Collaborate closely with product, security, platform, and QA teams to ensure connectors meet compliance, security, scalability, and reliability requirements.*
• Build intelligent schema management frameworks that adapt dynamically to schema changes, optimizing real-time data pipeline performance.*
• Lead initiatives in optimized query design and database performance tuning to support fastest-in-class data extraction and integration.*
• Mentor engineering talent through code reviews, design sessions, and technical knowledge sharing.* Influence long-term product and platform roadmaps informed by real-world connector usage data, and technical design documentation.
• Champion developer experience through SDKs, rich documentation, and efficient tooling to accelerate connector development and adoption.*
• Participate in agile processes, feature scoping, and technical decision-making to ensure predictable delivery.*
• Resolve complex architectural and production issues, implement monitoring and alerting frameworks to preemptively address system health.

• Experienced in contributing to projects focused on the integration of structured, semi-structured, and unstructured data.
• Hands-on developer experience with open-source integration frameworks such as Apache Camel, Apache Kafka Connect, Apache NiFi or Spring Integration
• Expertise in large-scale data processing, stream processing, and analytics using platforms like Apache Spark and Apache Flink for batch and real-time data workloads.
• Background in AI-powered development, agentic workflow automation frameworks like LangChain, and secure deployment in hybrid environments.
• Published technical blogs, conference presentations, familiarity with contributing to open-source projects and active community involvement.
• Hands-on experiences with API security frameworks, including standards like OAuth 2.0, JWT, and mTLS.* Relevant cloud certifications (AWS, Azure, GCP). Advanced degree in Computer Science or a related technical field

8-10+ years of professional software engineering experience, including 5+ years in a principal or lead engineering role.*

Experience in Java and the JVM ecosystem, including Spring Boot, proficient in Python, with practical experience in performance tuning.* Proven ability to design and deliver robust, distributed APIs and integrations at scale in cloud-native environments.*

Deep understanding of connector patterns: state management, error handling, retry strategies, and idempotency.

• Experience working with multiple cloud and enterprise platforms (Salesforce, AWS, Azure, GCP, SAP), integration protocols (REST, SOAP, JDBC, WebSocket) and real-time event streaming and message broker technologies platforms (Apache Kafka, RabbitMQ) for both synchronous and asynchronous data processing.*

Strong foundation in software design principles, system modeling, documentation, and agile methodologies.*

Expertise in container orchestration technologies such as Kubernetes, and CI/CD pipeline management.* Experience with cloud application development, deployment, security, monitoring, and scalability best practices. Mentor and lead engineering teams technically and culturally.