Technology Lead

Job description

Job Title: Technology Lead – AI & Cloud

Location: Pune, Maharashtra, India

Experience: 5+ Years

Role Overview:

We are seeking a hands-on Tech Lead to drive the architecture, development, and AI-driven automation of our data and application infrastructure on Google Cloud Platform (GCP) for one of client. This role is for a leader passionate about solving complex problems, integrating LLMs (Large Language Models) into workflows, and building scalable, secure, and high-performance systems. You'll lead from the front, architecting solutions while boosting team productivity through AI and automation.

About Taliun Solutions:

Taliun Solutions is a data-driven technology company headquartered in Silicon Valley, specializing in software innovation for the healthcare industry. Our mission is to enable healthcare organizations to harness the power of data to improve operational efficiency, enhance patient care, and drive meaningful business outcomes.

With a strong presence in the U.S. and India, we work at the intersection of technology and healthcare, providing cutting-edge solutions tailored to the industry's unique challenges. Our expertise in AI, big data, and cloud computing allows us to develop scalable, secure, and intelligent systems that transform the way healthcare organizations operate.

For more details, visit the website: and

Key Responsibilities:

Technical Leadership & Architecture:

• Define technical direction, architecture, and best practices for scalable cloud-native solutions on GCP.
• Mentor a small team, ensuring technical excellence and a "build fast, build right" mindset.
• Conduct code/design reviews and own the technical roadmap.

AI/LLM Integration & Automation:

• Drive end-to-end integration of LLMs (e.g., GPT-4, Gemini) into developer workflows to automate coding, testing, and deployment.
• Lead AI-driven automation initiatives across SDLC, enhancing efficiency and reducing manual interventions.
• Evaluate and implement AI tools like GitHub Copilot, Cursor, and other automation platforms.

Data Engineering & Cloud Operations:

• Architect robust data pipelines (Airflow), real-time processing (Dataflow, Pub/Sub), and analytics using BigQuery.
• Ensure data security, cloud cost optimization, and infrastructure scalability.
• Manage containerized applications with Docker/Kubernetes.

Innovation & Problem Solving:

• Solve complex architectural and engineering challenges with innovative solutions.
• Continuously evaluate emerging AI/cloud technologies to enhance system performance and developer experience.

Stakeholder Collaboration:

• Collaborate with Product, Data Science, and Customer teams to deliver business-centric technical solutions.
• Clearly communicate technical strategies to both technical and non-technical stakeholders.

Required Skills:

• 5+ years of experience in backend development & cloud-native architectures.
• Strong proficiency in Python (Django/Flask).
• Solid experience with GCP services – BigQuery, PostgreSQL, Airflow, Dataflow, Pub/Sub.
• Proven experience in LLM integration (OpenAI, Vertex AI) and using AI coding tools.
• Hands-on with CI/CD pipelines, microservices, API design, Docker, Kubernetes.
• Strong understanding of relational databases (PostgreSQL) and SQL.
• Experience in cloud security and cost optimization strategies.
• Excellent problem-solving and leadership skills.
• Strong communication skills and a "Get Things Done" attitude.

Nice to Have:

• Experience with Terraform (IaC).
• Exposure to AWS (Lambda, S3, RDS).
• Familiarity with Kafka, Metabase, or Superset.
• Knowledge of FHIR standards (Healthcare Data Interoperability).
• Contributions to open-source or tech communities.