Tech Stack
ApacheCloudDistributed SystemsJavaKafkaPulsarPythonReact
About the role
- Lead the design and delivery of platform capabilities powering enterprise-scale data processing, AI integration, and developer acceleration
- Partner with architects and senior engineers to set technical direction and align implementation patterns with long-term strategy
- Apply a product mindset to ensure platform solutions address real customer and business needs
- Deliver thought leadership and coding excellence across Java, React, Python, and other fit-for-purpose technologies
- Mentor and elevate engineers across teams through design reviews, pair programming, and sharing best practices
- Champion innovation in performance, tooling, and platform features, with an emphasis on enterprise reliability and scalability
- Collaborate across multiple global teams to drive API-first solutions that serve thousands of tenants and tens of thousands of customers
- Balance fast iteration on ideas with sound engineering practices to avoid technical dead-ends
- Contribute to technical planning, strategy, and retrospectives that shape the future of the platform
- Report to the Sr. Director Engineering API as part of the Platform & AI Enablement team under GPTO Engineering, shaping enterprise data architecture and enabling high-performance AI-driven workloads
Requirements
- 12+ years of software engineering experience in enterprise-scale, data-centric, or platform environments
- Deep expertise in distributed data technologies such as Apache Kafka, Flink, and/or Pulsar
- Strong background in event-driven architectures, streaming pipelines, and data lakes
- Hands-on experience with AI/ML production systems, including prompt-based LLM integrations
- Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed)
- Proven experience working in multi-team, global environments with strong collaboration and communication skills
- Track record of delivering API-first infrastructures supporting high throughput and enterprise reliability
- Knowledge of hybrid and cloud-agnostic infrastructures and their trade-offs
- Familiarity with CI/CD, GitOps, and high-velocity release workflows
- Experience balancing speed of iteration with long-term sustainability and quality
- Preferred: Have shaped architecture and platform strategy at enterprise scale
- Preferred: Passionate about mentorship and raising the bar for engineering culture without big egos
- Preferred: Have scaled high-throughput, globally distributed systems that support thousands of tenants and tens of thousands of end users
- Preferred: Thrive in API-first environments, bringing consistency and reliability across multiple products and teams
- Preferred: Can balance rapid prototyping and fast iteration with long-term sustainability and quality
- Preferred: Bring a polyglot mindset, matching the right technology to the challenge rather than defaulting to a single stack
- Preferred: Enjoy working across globally distributed teams, embracing asynchronous collaboration and clear communication