Responsibilities:

• Technical Leadership and Expertise: Serve as a technical leader within the organization. Provide expert guidance on complex engineering problems and projects. Mentor junior engineers and lead by example in terms of technical skill and professionalism.

• Innovation and Problem Solving: Drive innovation by identifying and solving complex, technical challenges. Stay abreast of the latest technologies and trends in the field and apply them to improve products or processes.

• Ensure Quality: Maintain high-quality engineering standards. Review and approve pull requests, api specifications, and technical documents.

• Collaboration: Work closely with other departments, such as product management, to ensure engineering solutions meet customer needs and business objectives.

• Communication: Clearly communicate technical concepts to non-technical stakeholders.

Skills and Qualifications:

• 10+ years of software development or data engineering experience

• Demonstrated technical leadership in building highly available and scalable distributed systems 

• Experience with data processing frameworks such as Spark, Databricks and Kafka Streams

• Experience with one of the cloud environments - AWS, GCP

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience with Kubernetes and modern observability practices 

• Expertise in one or more programming languages (Go preferred)

• Proficient in Linux with a solid understanding of operating systems

• Detail-oriented, self-motivated and interested in mentorship and well being of other team members

• Ability to convey complex technical information to a variety of levels within the organization

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