Staff Engineer - Intelligent Data Platform

Summary:

We're seeking an experienced Staff Engineer to join our Cloud Data Platform team as a founding member. Your deep understanding of cloud-based data platforms and proven track record in building and scaling high-performance systems will be pivotal. As a Staff Engineer, you'll lead the development of our core data platform, shaping its design, implementation, and evolution to meet our dynamic business needs.

Responsibilities:

• Own medium sized product features and ensure delivery end to end to customers with quality and on time delivery
• Maintain engineering excellence, ensuring 4-9s availability 24/7 in a full DevOps model by investigating root causes and implementing robust solutions.
• Collaborate with cross-functional teams to define and implement a scalable, high-performance, and secure data architecture aligned with current and future business needs.
• Assist in exploring and selecting cloud technologies across providers to construct a versatile cloud data platform.
• Stay abreast of emerging technologies to keep our platform at the forefront of industry advancements.
• Drive initiatives to enhance system reliability, availability, and performance through best practices in fault tolerance, monitoring, and automation.
• Mentor junior team members, fostering a culture of technical excellence, collaboration, and continuous learning.
• Operate within an Agile development environment, facilitating efficient delivery and adaptability.
• Debug and diagnose customer issues, taking ownership of problem resolution.
• Collaborate with product management to align technical strategies with business goals and contribute to the product roadmap.
• Actively participate in architectural discussions, providing insights and recommendations while ensuring adherence to established design principles.
• Evaluate and implement engineering processes and methodologies to enhance development efficiency, code quality, and delivery speed.

Qualifications:

• 5 years of software engineering experience, specializing in cloud-based data platforms.
• Experience in Rest API, RDBMS, Document Stores, Kubernetes, and Docker.
• Experience with cloud services (e.g., AWS, Azure, GCP) and Data warehousing solutions (e.g, BigQuery, Snowflake, Databricks) is advantageous.
• Proficiency in one or multiple programming languages such as Java, Go, Python, etc
• Experience with stream processing frameworks such as Apache Beam, Dataflow, Flink, etc is a plus.
• Strong skills in designing scalable, fault-tolerant, and secure solutions.
• Proven track record in designing and implementing cloud-based data platforms, with expertise in distributed systems and data architecture.
• Familiarity with Kubernetes and containerized workloads.
• Experience with monitoring, tracing, and observability tooling and frameworks (e.g., Grafana, Prometheus).
• Proficiency in test frameworks and writing test units.
• Experience with machine learning and large language models is a plus
• Problem-solving mindset with a focus on quality and execution.
• Solid background in software engineering and system design.
• Experience working with product management and cross-team stakeholders to translate requirements into execution plans.
• Demonstrated success in mentoring and developing engineering talent.
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees and industry certifications are advantageous.

Join us in revolutionizing our data platform and shaping the future of our company's data analytics and ML capabilities.

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