Senior Member Technical Staff

Job Location: Bangalore/Mumbai Key Responsibilities Technical Leadership: Lead the technical design, architecture, and implementation of high-throughput data ingestion systems and ETL pipelines.

Team Mentorship: Guide, mentor, and elevate a team of Engineers, fostering a culture of technical excellence and best practices.

Hands-on Development: Write clean, scalable, and maintainable code primarily in Java and Python.

Performance Optimization: Proactively monitor and resolve complex issues related to high memory and CPU consumption, bottlenecks in data transfer, and queue processing.

Agile Delivery: Partner with product managers and scrum masters to drive Agile/Scrum ceremonies, sprint planning, and timely delivery of features.

End-to-End Ownership: Oversee the full software development lifecycle, from system design and data formatting/analytics to deployment and infrastructure management.

Technical Requirements Core Backend & Data Engineering: Languages: Expert-level proficiency in Java and Python.

Data & Big Data: Deep understanding of Apache Spark, ETL pipeline design, data formatting, and data analytics.

Databases: Strong hands-on experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB, Cassandra) databases.

Messaging/Queues: Proven experience working with message brokers and queues (e.g., Kafka, AWS SQS, RabbitMQ) to manage asynchronous data transfer.

Cloud & Infrastructure: Cloud Platform: Extensive experience with AWS cloud services (e.g., S3, EC2, EMR, Lambda, RDS).

DevOps & CI/CD: Hands-on experience setting up and managing deployment pipelines using GitLab or Jenkins.

Containerization: Solid understanding and experience deploying applications using Kubernetes (K8s) and Docker.

Infrastructure as Code (IaC): Familiarity with IaC tools (e.g., Terraform, AWS CloudFormation) to provision cloud resources.

Additional Skills: Frontend/UI: Basic understanding of UI development (HTML, CSS, JavaScript, or modern frameworks) to collaborate effectively with full-stack or frontend teams.

Methodology: Strong practical experience working within and leading Scrum/Agile environments.

7 to 8 years of professional software engineering experience, with at least 1–2 years in a leadership, lead, or architectural capacity.

Proven track record of building and scaling high-volume data ingestion or streaming platforms.

Strong problem-solving skills with a deep understanding of system design, data structures, and algorithms.

Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.