Senior Engineer

Overview

As a Senior Engineer, you serve as a specialist in the engineering team that supports the product, helping develop and gain insight into the application architecture.

What you'll do

• Distill an abstract architecture into concrete design and influence the implementation.
• Apply appropriate software engineering patterns to build robust and scalable systems.
• Design and implement architecture on your own, while influencing fellow engineers by proposing software designs and providing feedback on designs and/or implementation.
• Help the team triage operational issues and eliminate repeat occurrences.
• Design, develop, and approve end-to-end functionality of a product line, platform, or infrastructure.
• Communicate and coordinate with project team, partners, and stakeholders.
• Analyze and optimize systems capacity, performance, and operational health.
• Deliver high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency).
• Influence and apply data standards, policies, and procedures.
• Integrate with third party and opensource frameworks.

What you'll need

• 4 year degree or equivalent experience.
• 5+ years of experience in software design and development.
• 3+ years of experience building scalable backend applications using Java.
• Broad and deep expertise in Java/Kotlin and frameworks.
• Programming experience with Java, Spring Boot and Kotlin, and Micronaut.
• Strong problem-solving skills with a good understanding of data structures and algorithms.
• Exposure to non-relational databases such as MongoDB.
• Exposure to distributed systems and microservice architecture.
• Demonstrates a solid understanding of the impact of own work on the team and/or guests.
• Writes and organizes code using multiple computer languages, including distributed programming, and understands different frameworks and paradigms.
• Maintains technical knowledge within areas of expertise and stays current with new and evolving technologies via formal training and self-directed education.

Nice to have

• Exposure to Data Pipeline, ML Ops, Spark, Python.

Details

• Location: Bangalore, India.