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Job Description

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Role Overview:

Key Responsibilities:

  • Technical Leadership & Architectural Ownership:

  • Drive the technical vision, architecture, and design for complex, large-scale software solutions on GCP, ensuring high quality, scalability, maintainability, and adherence to best practices.
  • Lead and mentor a team of engineers, fostering a culture of technical excellence, continuous learning, and innovation, providing deep technical and architectural guidance.
  • Own the technical roadmap and strategic initiatives, influencing key stakeholders and driving architectural decisions across the tech organization.
  • Conduct rigorous code and design reviews, ensuring solutions meet stringent technical standards and business requirements.
  • GCP, Data Engineering & Cloud Operations:

  • Architect, build, and optimize robust, high-performance data pipelines and ETL/ELT processes using Apache Airflow for orchestration.
  • Lead the development and management of comprehensive data solutions utilizing Google Cloud Platform (GCP) services, including BigQuery for data warehousing, PostgreSQL for relational databases, Dataflow for stream/batch processing, and Pub/Sub for real-time messaging.
  • Ensure paramount data integrity, cloud security, and optimal performance across all data systems.
  • Oversee infrastructure management, resource monitoring, and cost optimization strategies within the cloud environment.
  • Design and implement systems for exceptional scalability and high availability, managing complex networking with cloud and infrastructure.
  • AI/LLM Integration & Strategic Automation:

  • Lead the strategy, design, and implementation of Large Language Models (LLMs) and advanced AI coding tools into core engineering workflows to significantly enhance developer productivity and automate complex processes.
  • Drive initiatives for end-to-end workflow automation across the software development lifecycle, leveraging AI, scripting, and advanced tooling.
  • Lead POCs with new technologies and AI POCs, conducting benchmarking of AI tools to identify and champion the right solutions for the team and organization.
  • Problem Solving & Innovation:

  • Proactively identify, diagnose, and resolve highly complex technical issues, providing innovative and sustainable solutions.
  • Champion the adoption of new technologies and methodologies to continuously improve system performance, reliability, and the overall developer experience.
  • Cross-Functional Collaboration & Stakeholder Engagement:

  • Collaborate extensively with product owners, data scientists, and other engineering teams to translate business needs into robust technical solutions and build sales-centric features.
  • Engage directly with customers to gather insights, provide technical guidance, and ensure solutions meet their evolving needs.
  • Clearly articulate complex technical concepts and strategic decisions to diverse technical and non-technical stakeholders.
  • Manage the complete software development lifecycle from conception to deployment and ongoing operations.

Required Skills & Qualifications:

  • 8+ years of progressive experience in software engineering, with a strong emphasis on backend development, cloud-native architectures, and technical leadership roles.
  • Expert-level proficiency in Python, including extensive experience with Django and Flask frameworks.
  • Deep expertise in Google Cloud Platform (GCP) services, including BigQuery, PostgreSQL, Airflow, Dataflow, and Pub/Sub.
  • Proven track record in architecting, designing, and maintaining scalable, high-performance data pipelines and distributed systems.
  • Extensive hands-on experience with LLM integration (e.g., OpenAI GPT-4, Vertex AI Gemini) and leveraging AI coding tools (e.g., GitHub Copilot, Cursor, etc.) for enhanced productivity.
  • Demonstrated ability to implement and optimize complex workflow automation.
  • Solid understanding of relational databases and SQL, with advanced proficiency in PostgreSQL.
  • Strong experience with version control systems (Git) and designing/implementing robust CI/CD pipelines (GitHub Actions, etc.).
  • Deep understanding of microservices architecture, serverless applications, and API design principles.
  • Expertise in containerization technologies (Docker, Kubernetes).
  • Understanding of FHIR (Fast Healthcare Interoperability Resources) standards for healthcare data exchange.
  • Proven experience with Cloud Security best practices and implementation.
  • Demonstrable experience in infrastructure management, resource monitoring, and cloud cost optimization.
  • A track record of designing and building systems for exceptional scalability and high availability.
  • Strong understanding of core software engineering principles, design patterns, and architectural best practices.
  • Exceptional problem-solving, analytical, and critical thinking skills.
  • Outstanding communication, interpersonal, and leadership skills, with a proven ability to influence and guide technical teams.
  • A "Get Things Done" attitude, high energy, and a passion for continuous learning and innovation.

Bonus Points (Nice to Have):

  • Experience with Infrastructure as Code (e.g., Terraform).
  • Experience with other major cloud platforms (e.g., AWS Lambda, S3, RDS).
  • Experience with streaming technologies like Kafka.
  • Familiarity with visualization and analytics tools (Metabase, Apache Superset).
  • Contributions to open-source projects or technical communities.


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