Lead Engineer

Engineering Lead

Your Day At Nference

• Act as an entrepreneur: Take complete ownership of end-to-end problem statements and lead initiatives with clarity and conviction.
• Deliver customer value: Go beyond just feature delivery to ensure that your work has measurable impact for end users.
• Lead a high-performing, diverse engineering team: Inspire, mentor, and set high standards across the team.
• Be an exceptional engineer: Capable of reviewing designs, diving into code when needed, and guiding the team on best engineering practices.
• Drive solution design and architecture: Collaborate with stakeholders to translate customer problems into scalable, well-architected technical solutions.
• Manage the full software delivery lifecycle: From estimation, planning, and prioritization to execution, delivery, and post-delivery monitoring.
• Own delivery outcomes: Ensure engineering quality and predictability while balancing tech debt, business goals, and delivery timelines.
• Manage ambiguity and multiple priorities: Thrive in a fast-paced, high-growth environment where adaptability and clear communication are key.
  

Skills & Experience Required

• 7+ years of hands-on experience as a Python Developer with deep expertise in Python frameworks.
• Minimum 2 years of experience in leading teams.
• Strong experience designing and developing distributed systems that process large datasets across cloud platforms such as AWS, Azure, and GCP.
• Proven ability to design and implement scalable microservices architectures, with a focus on performance, security, and maintainability.
• Deep experience with containerization using Docker and orchestration platforms like Kubernetes (K8s) including Helm, ConfigMaps, Secrets, Autoscaling, Taints/Tolerations, Namespaces, and RBAC.
• Proficient in CI/CD practices and tooling, with hands-on exposure to DevOps pipelines and automation (e.g., GitHub Actions, GitLab CI, Jenkins).
• Strong understanding of database systems, including relational (PostgreSQL, MySQL) and NoSQL (BigQuery), as well as data modeling, SQL performance tuning, and migration techniques.
• Experience working with healthcare data standards (HL7, FHIR, EHR/EMR integration) and building compliant ETL pipelines.
• Skilled in code and architecture reviews, mentoring team members, and enforcing coding standards and best practices.
• Capable of working closely with Product Managers and Business stakeholders to define and deliver on engineering roadmaps.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication, leadership, and collaboration abilities.