We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our systems, which are critical to our everyday data-intensive operations. Our systems are used by engineers, scientists and analysts from all LOBs and provide valuable insights to empower critical business decisions and train ML models. The team leverages cutting-edge technologies such as Apache Flink, Beam etc.

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As a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.

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We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into any problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.

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Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our platform
• Work with technologies such as Apache Kafka, Flink, Beam etc. to enhance our data platform's streaming offerings
• Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
• Analyze our internal systems and processes and locate areas for improvement/automation
• Collaborate with product org stakeholders to address and prioritize custom edge cases
• Contribute to projects from inception to positive execution
• Operate a real-time streaming platform with high availability and low downtime to meet the demands of latency-sensitive workloads.

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Experience:

• 3+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
• Familiarity with streaming systems like Kafka, Flink, Beam, Spark Streaming, or similar technologies
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with a cloud-based environments such as AWS/GCP/Azure
• Comfortable with working in a fast-paced, dynamic environment

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