Staff Engineer - Responsible AI

The Challenge

As a Staff Software Engineer, you will provide the strategic and technical vision. You will contribute to plans for developing new and significant product opportunities and/or for expanding existing efforts, expected to identify and evaluate implications of engineering advances for business opportunities, contributes to defining the vision and leads engineering efficiency efforts across the OneTrust products, participate in strategic discussions on programs impactful for the company, help with career growth of your team members, assess other technical leaders for promotion readiness, and influence other Director / VP organizations.

Your Mission

• Has deep knowledge of entire system and design solutions to large complex features affecting multiple systems and/or third-party integrations.
• Sets product direction and has ownership over large components. Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
• Given long term strategic goals, and trusted advisor from a customer perspective. Champions customer insights and provides innovative solutions to customer requests.
• Recognizes trends and industry directions and takes proactive measures to influence product and engineering roadmap.
• Build strong relationships in their own team and across the company. Understands multiple points of view and drives a process to conclusions quickly and respectfully.
• Mentor others with high-level technical guidance. Improve the company’s technical prowess.
• Put customers first and set strategic short-term targets.
• Design and build high-performance systems.
• Create and support architectural models and technical design documentation, which includes current and future state process flows,applications/database objects, specifications that detail proposed database and/or data integration implementations.
• Conceives product and service architecture.
• Ensures scalability, availability, reliability, and ease of operations.
• Recommending recent technologies that can help increase productivity.
• Supervising and overseeing the technical aspects of projects.
• Mentoring/training an engineering community on development best practices.
• Research and collect product information and support the development of specifications and requirements for consideration.

You Are

• High technical and/or technological competence
• Strong documentation, analytical and problem-solving skills
• Bachelor's degree or above in computer science, Engineering, or related technical field
• Minimum of 16+ years of hands-on experience with Java based development projects using RESTful APIs, SpringBoot, Micro services.
• Strong analytical skills.
• Good communication skills.
• Extensive experience in building distributed and parallel data processing platforms.
• Extensive Data Engineering experience in building low-latency, high throughput Data Pipelines that power Data Lake and Data Warehouse Solutions.
• Strong knowledge of data structures, algorithms, asynchronous architectures, and distributed algorithms.
• Experience with fault tolerant message queuing/brokering systems (e.g., AMQ, RabbitMQ, zeromq, Kafka)
• Experience in designing data streaming and event-based data solutions using Kafka, Kinesis, Flink, Spark or similar frameworks.
• Experience using different storage technologies such as MongoDB, Cassandra, CockroachDB, CouchDB
• Experience in integrating application with indexed search services such as Elasticsearch, Solr
• In-depth knowledge of system programming.
• Experience mentoring/training an engineering community on development best practices.
• Ability to create and support architectural models and technical design documentation, which includes current and future state process flows,applications/database objects, specifications that detail proposed database and/or data integration implementations.
• Excellent leadership, verbal, and written communication skills

Extra Awesome

• Master's degree in Computer Science, Engineering, or related technical or business field
• Expertise with running web services at scale.
• Deep understanding of system performance tradeoffs, load balancing, and engineering for high availability.
• Experience with serverless computing, Lambda functions, and cloud-based event-driven architectures.
• Understanding of graph data modeling, graph schema development, graph data design