Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.
Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
Experience with full-stack development building web apps, using modern programming languages such as:
Proficient in React and TypeScript for Front end
Proficient in TypeScript for the Backend
Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).
Benefits
Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
JavaScriptReactTypeScriptdata modelingdata warehousingETL processesdata pipelinesbig data technologiesHadoopSpark
Soft skills
communicationcollaborationleadershipmentoringinfluencingadaptabilityproblem-solvingtechnical excellencecontinuous learningteam development
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering