Influence the design and implementation of platform capabilities for data processing, AI enablement, and developer acceleration across batch, streaming, and real-time systems.
Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns.
Guide teams in integrating AI/ML capabilities—including prompt-based LLM use cases, model inference, and feature pipelines—into scalable platform services.
Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals.
Provide thought leadership across the fullstack (React, Java, Python), promoting clean, efficient, and maintainable code.
Identify and drive opportunities for innovation—whether in development tooling, performance optimization, or new platform features.
Act as a mentor to engineers across teams, elevating technical standards through code review, design input, and informal leadership.
Participate in incident retrospectives, technical spike planning, and future-looking strategy discussions.
Help teams balance speed and sustainability—delivering under tight deadlines without compromising quality.
Requirements
12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development.
Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar.
Deep understanding of event-driven architectures, data lakes, and streaming pipelines.
Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs.
Polyglot development capability, with hands-on experience in Java, Python, and modern frontend frameworks such as React.
Comfort working in cloud-agnostic and hybrid environments.
Familiar with CI/CD pipelines, GitOps practices, and releasing at speed.
Strong communication skills—both technical and interpersonal—with the ability to influence without authority.
Experience working within or across globally distributed teams.
Benefits
Our Winning Culture is the engine that drives our teams of innovators
Flexible working hours
Professional development opportunities
Help define the future of a data platform at scale
Work on cutting-edge AI/ML enablement initiatives
Collaborate with high-caliber teams across data, engineering, and product
Influence long-term technology strategy in a high-growth environment
Applicant Tracking System Keywords
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