Director Technology

Affinity Global Inc.; Mumbai; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

A leading AdTech company in Mumbai is seeking a Director - Technology to lead the architecture and development of backend platforms and data ecosystems. The role requires extensive experience in software engineering and engineering management, with a focus on cloud technologies and AI/ML integration. The ideal candidate will guide teams in polyglot database environments and contribute significantly to the technology roadmap. This position offers a chance to innovate at the intersection of technology and advertising.

Qualifications

• 12–15+ years of software engineering experience.
• 5+ years in Engineering Manager / Senior Manager / Director roles.
• Deep experience with MySQL / PostgreSQL / MongoDB or other NoSQL technologies.
• Hands-on experience managing and scaling Hadoop clusters and distributed processing frameworks.
• Proficiency in AWS and GCP.

Responsibilities

• Lead the strategy for a diverse database landscape.
• Define and execute the strategy for integrating AI/ML.
• Lead, mentor, and scale backend and data engineering teams.
• Drive cloud-first architecture and infrastructure design.
• Contribute to long-term technology roadmap.

Skills

Software engineering experience

Engineering management

MySQL

Hadoop

AWS

Python

AI technologies

Data visualization tools

Tools

Kafka

Tableau

AWS RDS

GCP

Job description

About Affinity

Affinity is pioneering new frontiers in AdTech by building privacy-first advertising infrastructure that helps publishers maximize monetization and enables advertisers to reach the right audiences beyond walled gardens. Operating across 10+ markets in Asia, the US, and Europe, with a team of 575+ professionals, Affinity continues to innovate at scale in the global AdTech ecosystem.

Role Overview

We are looking for a Director - Technology to lead the architecture, development, and scaling of our backend platforms, comprehensive data ecosystem, and AI integration. This role will oversee a polyglot database environment (SQL, NoSQL, and Big Data) and drive the adoption of AI/ML technologies to enhance our AdTech infrastructure.

Key Responsibilities

• Data & Database Leadership
  • Polyglot Persistence: Lead the strategy for a diverse database landscape, ensuring the right tool for the job across MySQL (Relational), Hadoop (Big Data), MongoDB (NoSQL), and cloud-native solutions like Snowflake or BigQuery.
  • Data Lifecycle Management: Own the end-to-end data journey—from high‑velocity ingestion via Kafka to long‑term storage in data lakes and real‑time retrieval for backend services.
• AI & Innovation
  • AI Roadmap: Define and execute the strategy for integrating modern AI/ML (e.g., LLMs, predictive modelling) into backend services to optimize ad targeting and platform efficiency.
  • Vector Databases: Evaluate and implement vector databases (e.g., Pinecone, Milvus, or Weaviate) to support AI‑driven search and recommendation engines.
• Leadership & Team Management
  • Lead, mentor, and scale backend and data engineering teams.
  • Drive engineering best practices, coding standards, and architectural reviews.
  • Partner with Product, Data, and Business teams to translate requirements into scalable technical solutions.
  • Play a key role in hiring senior engineers and technical leaders.
• Platform & Cloud Operations
  • Drive cloud‑first architecture and cost‑efficient infrastructure design.
  • Ensure high availability, fault tolerance, and disaster recovery across backend services.
  • Oversee CI/CD pipelines, monitoring, and observability for backend systems.
• Strategic Contribution
  • Contribute to long‑term technology roadmap and platform evolution.
  • Evaluate and introduce new backend and data technologies aligned with business growth.
  • Act as a senior technical voice in leadership discussions and decision‑making.

Required Skills

• 12–15+ years of software engineering experience
• 5+ years in Engineering Manager / Senior Manager / Director roles
• Deep experience with MySQL / PostgreSQL / MongoDB or other NoSQL technologies
• Hands‑on experience managing and scaling Hadoop clusters and distributed processing frameworks (Spark/Flink)
• Proficiency in AWS (RDS, Aurora, DynamoDB, Redshift) and GCP (Cloud SQL, Spanner, Bigtable, BigQuery)
• Hands‑on experience with Kafka (producers, consumers, streams, scaling)
• Proficiency in Python and shell scripting for automation, backend logic, and data manipulation
• Experience implementing modern AI technologies, including NLP, generative AI frameworks, or predictive analytics
• Ability to use data visualization tools (Tableau, Looker, Metabase, Apache Superset, etc)