Tech Lead

India
Job Information

Tech Lead

Location: Gurgaon / Noida

Experience: 7+ years

Employment Type: Full-time

Reports To: Founders

Role Overview

We are looking for a hands-on Tech Lead to own the architecture and technical delivery of a multi-tenant SaaS platform. The role requires strong system-design capability, pragmatic technical decision-making, and the ability to lead a small engineering team while remaining actively involved in production code.

Key Responsibilities

  1. Own technical architecture across the multi-tenant platform, APIs, integration framework, operational database, intelligence services, and customer-facing applications.
  2. Define architecture standards for:
    • Tenant isolation
    • Authorization
    • Security
    • Auditability
    • Observability
    • Reliability
    • Data retention
    • Deployment
  3. Establish engineering practices across:
    • Code reviews
    • Testing
    • Environments
    • Releases
    • Incident response
    • Architecture documentation
  4. Make technical decisions around:
    • APIs
    • Asynchronous/event-driven processing
    • Data stores
    • Queues
    • Cloud services
    • Monitoring
  5. Work closely with AI, backend, and integration engineers to ensure seamless platform operations.
  6. Lead technical-risk and release-readiness reviews.
  7. Recruit, mentor, and guide a small, high-performing engineering team.
  8. Remain hands-on with architecture, code reviews, and production development.

Required Skills & Experience

  • 7+ years of software engineering experience, including 2+ years in architecture ownership or technical leadership.
  • Strong backend/platform engineering experience with multi-tenant SaaS, APIs, data-intensive, or integration-heavy systems.
  • Hands-on knowledge of:
    • Security and authentication/authorization
    • Asynchronous processing
    • Observability and monitoring
    • Production service operations
  • Strong system-design and architecture skills.
  • Ability to manage complex, ambiguous technical problems and prioritize delivery effectively.
  • Strong communication skills and willingness to write, review, and own production code.

Preferred Experience

  • Exposure to any of the following would be advantageous:
    • Graph databases
    • Event-driven architectures
    • AI/ML systems in production
    • ERP/WMS integrations
    • Supply chain software
    • Cloud-native platforms

Candidates with a GitHub profile, technical portfolio, architecture document, or relevant technical work sample may share it as part of their application.

Apply for this job

Submit your application here.

Apply now
Consultant
Sagar Bajpai
Sagar Bajpai
Managing Partner
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Must-have qualifications • 12–18 years in IT services or product delivery, with 5+ years managing large Data & AI programs end to end. • Proven delivery of large, complex, enterprise-grade data programs (multi-workstream, multi-million-dollar, high visibility). • Has led at least one large-scale, enterprise migration to the Databricks platform end to end (multi-TB to PB data, hundreds of pipelines, phased cutover with parallel runs). • Domain experience in telecom billing and invoicing processes (rating, invoicing, revenue assurance, billing data reconciliation). • Has led teams of 25–35 people, including onsite–offshore delivery models. • Has managed complex customer ecosystems with multiple vendors and stakeholders, preferably for US customers. • Excellent articulation and communication, written and verbal; confident presenting to senior customer leadership. • Sound grasp of modern data architecture: lakehouse, ETL/ELT, data governance, cloud platforms (AWS, Azure or GCP). • Working knowledge of AI/ML and GenAI delivery (MLOps, model deployment, use-case scoping). • Strong command of delivery frameworks (Agile/Scrum, SAFe or hybrid) and program financials. • Bachelor's degree in Engineering or Computer Science; MBA a plus. Technology skills The candidate need not code daily, but must be able to review designs, challenge estimates and guide architects on the areas below. Area Skills expected Databricks platform Lakehouse architecture, Delta Lake, Unity Catalog, Databricks SQL and SQL Warehouses, Workflows/Jobs, Delta Live Tables, Photon, cluster and cost management Migration sources Teradata, Oracle, Netezza, SQL Server, Hadoop/Cloudera (Hive, Spark), Informatica, DataStage, SSIS, SAS Migration approach Discovery and inventory, lift-and-shift vs re-engineer decisions, SQL/ETL code conversion, data validation and reconciliation, parallel runs, cutover and rollback planning Data engineering Apache Spark (PySpark, Spark SQL), batch and streaming (Structured Streaming, Kafka, Auto Loader), medallion architecture Governance and security Unity Catalog access control, data lineage, data quality frameworks, PII handling for billing and customer data AI/ML on Databricks MLflow, Feature Store, Model Serving, Mosaic AI / GenAI use cases Cloud Databricks on AWS, Azure or GCP; object storage, networking and IAM basics DevOps and FinOps CI/CD with Databricks Asset Bundles, Git, Terraform; DBU cost monitoring and optimisation Certifications (preferred) Databricks Certified Data Engineer (Associate/Professional) or Databricks Lakehouse Fundamentals Good to have • Certifications: PMP, PgMP, SAFe (RTE/SPC), or Databricks / cloud certifications. • Exposure to telecom BSS/OSS stacks and billing platforms (e.g., Amdocs, Netcracker, Ericsson, CSG). • Experience with Databricks migration accelerators and code-conversion tools (e.g., Lakebridge / BladeBridge or partner-built converters). • Prior onsite stint or extensive travel experience with US customers. • Experience in pre-sales, solutioning or account mining for data programs.