Lead SDE - Data Engineering, Ultra

Affle; Gurugram District; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Affle is seeking a Technical Lead in Gurgaon to guide data engineering and scalable APIs, shaping end-to-end product delivery. You will mentor a cross-functional team across architects, DevOps, and developers, driving architecture and best practices.

You will oversee data pipelines, integrations, and API features, ensuring performance, security, and scalability while championing modern development practices and observability.

Qualifications

• 8+ years leading cross-functional engineering teams.
• Experience building scalable backend systems and data pipelines.
• Strong programming skills in Python/Go/NodeJS.
• Proficient in SQL/NoSQL databases and data modelling.

Responsibilities

• Lead, mentor, and grow a high-performing engineering team.
• Define long-term technical architecture for scalable platforms.
• Oversee data pipelines, integrations, and API delivery.
• Conduct architecture reviews and code quality assessments.
• Collaborate with architects, DevOps, and business teams.

Skills

API Development

Kafka

PostgreSQL

Redis

MongoDB

Spark

BigQuery

ETL/ELT

Docker

Jenkins

Cloud (AWS/GCP)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Google BigQuery

Databricks

Snowflake

Docker

Jenkins

UV

Job description

Position Description :

As a Technical Lead, you are expected to be skilled in the fundamentals of Data Engineering and Scalable APIs. You will be responsible for building a strong foundation of scalable backend systems using modern frameworks and tools, while also designing and maintaining robust data pipelines and integrations. This includes overseeing the entire product lifecycle, from solution development through execution and launch.

Technical Responsibilities :

Lead, mentor, and grow a high-performing engineering team by providing technical guidance, architectural direction, and continuous support throughout the product development lifecycle.

Work collaboratively with a core team of architects, DevOps, business teams, and developers spread across different locations to assist with solutions to the requirements from a technical perspective.

Define and drive the long-term technical architecture, ensuring the platform is scalable, resilient, secure, and aligned with future business requirements.

Establish and enforce engineering standards, development processes, coding best practices, and quality assurance frameworks to deliver consistent, maintainable, and high-quality software.

Evaluate emerging technologies, conduct technical research, and develop Proofs of Concept (POCs) to validate new ideas, frameworks, and architectural approaches.

Conduct regular code reviews, architecture reviews, and performance evaluations, providing constructive feedback and coaching to foster technical excellence and professional growth within the engineering team.

Contribute hands‑on to the design, development, optimization, and delivery of key product features, technical improvements, and strategic roadmap initiatives.

Drive continuous improvement in system performance, observability, automation, and engineering productivity through proactive optimization and adoption of modern development practices.

Skills :

API Development : Building scalable and performant APIs with Python / Golang / NodeJS.

Familiarity with messaging systems (e.g., Kafka, Pub/Sub, or Redis Streams).

Databases : Solid understanding of SQL and NoSQL data stores and schema design. Experience with PostgreSQL (Must), Redis & MongoDB (Optional).

Experience with distributed data processing tools (e.g., Spark, Trino/Presto, or similar).

Experience with in memory data processing frameworks - Pandas, Numpy, DuckDB, Polars, etc.

Data Warehouses : Experience with either Google BigQuery, Clickhouse, Databricks, or Snowflake etc.

Understanding of data modelling, partitioning, indexing, and query optimisation.

Data Pipelines : Develop and manage ETL/ELT pipelines, data models, schemas, and data transformation logic for analytics and operational use.

Implement integrations with third-party APIs and internal microservices.

Collaborate with frontend, DevOps, and data engineering teams to ship end-to-end features.

Experience implementing Data Monitoring tools like Sentry.io, Grafana, Datadog, or similar.

Contribute to CI/CD workflows and infrastructure automation using tools like UV, Poetry, PM2, Docker, and Jenkins.

Experience with containerised environments (Docker) and Serverless architectures.

Familiarity with cloud platforms (AWS or GCP) and services like S3, Lambda, or Cloud Functions.

Requirements :

Bachelor's degree in Computer Science, Engineering, or related field.

8+ years of experience with a proven track record of successfully leading cross-functional engineering teams in the development and delivery of complex products.

Excellent communication and interpersonal skills, with the ability to build rapport and trust with team members and stakeholders.

Proven ability to identify and resolve impediments or conflicts that may arise during the development process.

Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities.

Continuous growth and learner mindset with a passion for Agile principles and practices, and a commitment to ongoing professional development.

Ability to take ownership of complex tasks and deliver while mentoring team members.

About Affle:

Affle 3i Limited (NSE: AFFLE and BSE: 542752) is a global technology company enabling verticalized AI-led consumer conversions for advertisers globally, powered by the differentiated CPCU business model across Mobile, CTV and other agentic/autonomous intelligent connected devices (AICDs). Affle enables advertisers to optimize targeting, personalize user engagement and maximize ROI by combining proprietary data, deep audience intelligence and advanced generative AI capabilities.

Affle 3i Consumer Platform delivers verticalized solutions across industries and geographies at scale, helping marketers engage with audiences in more relevant and meaningful ways. With innovative technology integrations, Affle maximizes user engagement at every stage of the consumer journey across connected devices. Its AI-powered agents and algorithms go beyond automation and efficiency to deliver next-gen experiences through deep human-vs-non-human data distillation.

For more details, please visit: www.affle.com

About BU (Ultra):

Unlock & Scale Conversions, Everywhere!

Ultra Platform offers a unified access to seamlessly integrate multiple inventory sources, including walled gardens, so that you can extract maximum value from your leads, enhance conversion rates, and accelerate your business goals across mobile and mobile web

To learn more visit: www.ultraplatforms.io