Senior Software Engineer

Goldcast; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading tech company in India is seeking a Senior Software Engineer to join their Recording Studio team. In this role, you will lead the development of high-performance backend systems and collaborate with multiple teams to ensure robust and reliable production systems. The ideal candidate should have over 6 years of software engineering experience, demonstrate strong fundamentals in data structures and algorithms, and have a solid understanding of distributed systems. Familiarity with AWS and video processing is a plus. This position involves technical leadership and responsibilities across the entire feature lifecycle, suitable for candidates passionate about building scalable systems.

Qualifications

• 6+ years of professional software engineering experience.
• Experience building and operating scalable backend systems.
• Ability to lead medium-to-large features with ambiguity.

Responsibilities

• Lead and deliver complex backend features end-to-end as the feature lead.
• Participate in system design and write clear, pragmatic design docs.
• Improve system observability, reliability, and failure recovery mechanisms.

Skills

Data structures

Algorithms

System design

Distributed systems

Asynchronous processing

Debugging skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS

Object storage systems

Message queues

Job description

Founded in mid-2020 at Harvard Business School, we have 400+ customers across tech, professional services, manufacturing, and finance to deliver engaging video content & digital events.

Role Overview

We're seeking a Senior Software Engineer to join our Recording Studio team. You will be responsible for leading the development of high-performance, scalable backend systems that power Goldcast’s recording and video processing platform.

The ideal candidate will drive technical excellence, make strong architectural decisions within their project scope, and help improve the reliability, scalability, and performance of our recording and media processing infrastructure.

In this role, you'll lead and deliver complex backend features involving multiple engineers, taking work from definition through design, implementation, testing, and production rollout. You will collaborate closely with product, design, QA, and SRE, and contribute to the reliability and performance of our production systems.

You’ll work on initiatives across the Recording Studio surface area, such as improving recording session management, enhancing media ingestion and processing pipelines, optimizing HLS generation and trimming workflows, and strengthening integrations with Content Lab and Video Library.

In This Role, You Will:

• Lead and deliver complex backend features end-to-end as the feature lead
• Break down ambiguous backend and distributed systems problems into clear milestones and execution plans
• Participate in system design and write clear, pragmatic design docs
• Build and maintain backend services for recording session lifecycle, media ingestion, and asset processing
• Design and optimize video processing workflows, including chunk management, transcoding, and publishing
• Improve system observability, reliability, and failure recovery mechanisms
• Debug issues across services, storage systems, and processing pipelines, and drive fixes through to resolution
• Contribute to code reviews and team engineering practices
• Participate in the on‑call rotation and help improve production reliability over time

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related field from a top-tier institution (IITs, NITs, BITs, or equivalent).
• 6+ years of professional software engineering experience
• Strong fundamentals in data structures, algorithms, and system design
• Experience building and operating scalable backend systems in production
• Ability to lead medium-to-large features with ambiguity and drive them to completion
• Experience working with distributed systems and asynchronous processing
• Familiarity with cloud environments (AWS preferred)
• Experience with object storage systems (e.g., S3) and large file processing
• Experience with message queues or event‑driven architectures
• Experience with video processing, HLS streams, or media pipelines is a strong plus
• Strong debugging skills and experience handling production incidents