Top Tech Jobs & Startup Jobs in Delhi

Leads the transformation of an L2 support organization into an engineering-led SRE function. Defines reliability standards for observability, SLOs, SLAs, incident management, alerting, and production readiness. Drives AI-assisted automation, self-service, toil reduction, and operational excellence while partnering with engineering and product teams to improve system reliability. Builds and develops a high-performing SRE organization, establishes operational KPIs, and advances platform resilience, scalability, and customer experience.

Leads multiple teams delivering scalable, reliable software, data, and AI/ML systems. Oversees architecture, development, DevOps, deployment, monitoring, cloud cost optimization, and operational efficiency. Translates strategy into technology roadmaps, manages cross-functional dependencies, and ensures execution against business priorities. Builds high-performing engineering teams through mentorship, succession planning, and continuous improvement while advancing AI platforms and intelligent automation.

Designs and optimizes scalable data pipelines and architectures supporting analytics and operational needs. The role develops ETL, streaming, data quality, governance, and cloud-based workflows using modern big data technologies. Responsibilities include translating business requirements into technical solutions, monitoring data systems, improving reliability and performance, and providing technical guidance on data modeling, storage, and metadata management.

Leads platform engineering across multiple teams by designing scalable cloud-native infrastructure, reusable tooling, distributed systems, and AI/ML-enabled applications. Drives the full software development lifecycle, including architecture, coding, testing, deployment, maintenance, observability, and incident response. Provides technical leadership and mentorship, translates business needs into technical requirements, and ensures system reliability, performance, security, and continuous improvement.

Leads the design, development, deployment, and optimization of scalable data platforms and AI-driven applications. Builds data pipelines with Python, Scala, Spark, and Airflow on GCP; ensures data quality, governance, lineage, and reliability; and supports SAP e-commerce analytics. Develops RAG-based and agentic AI solutions using LangChain and LangGraph, mentors engineers, influences technical decisions, and drives full lifecycle delivery and continuous improvement.

Design, prototype, implement, test, deploy, and improve scalable intelligent software systems using agentic coding tools. Build multi-agent workflows with coordination and dynamic task execution, establish observability and traceability, and improve systems through real-world feedback. Collaborate across business, product, and engineering teams, contribute to AI-native development practices, and train others on agentic application development.