Best Talent Reach (BTR) Applying For Technical Lead at Lotechpro in India, Pune

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TECHNICAL LEAD @ LOTECHPRO

India, Pune Posted 4/7/2026 lotechpro.in 748 Views
We are seeking a highly skilled Technical Lead to join our engineering team in a hybrid role based in Pune, India. In this capacity, you will provide technical leadership and oversight for complex software projects, ensuring the delivery of scalable microservices and robust distributed systems. Your role will involve mentoring junior developers, making architectural decisions, and working closely with stakeholders to align technical strategies with business goals. You will be instrumental in leveraging Google Cloud Platform services to build high-performance data-driven applications.

The ideal candidate will have extensive experience with Go and Python programming, alongside a deep proficiency in BigQuery and SQL for data modeling and query optimization. You will be responsible for analyzing large datasets to derive actionable insights and implementing modern DevOps practices, including CI/CD and containerization with Docker and Kubernetes. We are looking for a proactive problem-solver who can lead by example and maintain high standards of code quality and performance across our technology stack. This position offers an exciting opportunity to work at the forefront of cloud technology in a collaborative and innovative environment.

Key Requirements

6+ years of software engineering experience. 2+ years of experience in a Technical Leadership role. Strong hands-on experience with Google Cloud Platform (GCP) including Compute Engine and Pub/Sub. Proficiency in BigQuery and SQL with strong data analysis and data modeling skills. Strong programming expertise in Go (Golang) and Python. Strong understanding of relational and NoSQL databases like PostgreSQL, MySQL, and Spanner. Experience building scalable microservices and distributed systems. Solid understanding of CI/CD, Git, and modern DevOps practices. Experience with Kubernetes, Docker, or serverless technologies on GCP. Exposure to ETL/ELT frameworks, Dataflow, Dataproc, or Airflow.

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