Software Architect

The Eplane Company; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

The Eplane Company in Chennai is seeking a Senior Software Architect to lead the design of core software architecture for internal engineering tools and GenAI-enabled systems, with a focus on real-time decision making and scalable deployment.

You will define API contracts, oversee multi-module integrations, and guide end-to-end SDLC efforts from prototype to production, including performance tuning, tracing, and cloud or on-prem deployment.

Qualifications

• Experience architecting production-grade, enterprise systems.
• Cloud or on-prem deployment of software systems.
• 2+ years ML engineering or engineering applications.
• Understanding API contracts and frameworks.
• Strong data structures knowledge and problem solving.
• Experience with containerisation and orchestration (Docker, Kafka, Kubernetes).
• Proven ability to design complex real-time software from scratch.
• Timing analysis, CPU/memory profiling in distributed systems.

Responsibilities

• Design the overall system architecture, module boundaries and interfaces.
• Architect and oversee integration of multi-module systems with traceability.
• Design multi-timeline execution architectures for platforms as required.
• Define and freeze API contracts before downstream teams build against them.
• Scale the platform from prototype to production-grade with validation gates.
• Write clear, precise low-level software requirements from system specs.
• Collaborate with teams to translate requirements into interfaces and proofs.
• Architect reference implementations for ML and GenAI systems.
• Establish software development and testing standards.

Skills

System architecture

Real-time systems

ML engineering

API design

Distributed computing

Performance optimization

SDLC leadership

Tools

Docker

Kafka

Kubernetes

Job description

Job Summary

Chart the Course for the Future of Flight. This role focuses on developing core software architecture for internal engineering tools and other tools that enable operations for the next generation of mobility while working on accelerating the development and deployment of novel engineering tools leveraging cutting edge hybrid of ML based tools in real-time situations.

Responsibilities

• Design the overall system architecture: module boundaries, shared data objects, execution tiers, and the interface adapters that keep modules decoupled.
• Architect and oversee integration of all multi-module systems with traceability.
• Design the multi-timeline execution architectures for platforms as required.
• Define and freeze API contracts for the platforms external interfaces before downstream teams begin building against them.
• Scale the platform progressively from prototype to production-grade, with explicit validation gates at each stage.
• Write clear, verifiable, and precise low-level software requirements based on system-level specifications.
• Collaborating closely with collaborators to understand their technical requirements, proposing interfaces, and enabling them through proof-of-concept, deployment, and optimization phases.
• Architect reference implementations for reliable, scalable, traceable involving ML and GenAI based systems.
• Establishing software development and testing standards.

Requirements

• A track record of architecting systems that handle production and at enterprise-grade systems.
• Development of software systems that can deployed on the cloud or on premise.
• 2+ years ML engineering or engineering applications.
• Understanding of API contracts and frameworks.
• Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
• Experience with containerisation and orchestration systems like docker, kafka, kubernetes.
• Experience identifying and resolving systemic technical problems across multiple systems.
• Demonstrable experience architecting complex, real-time software systems from scratch.
• Hands-on experience with timing analysis, CPU load measurement, memory load analysis, and code profiling across distributed systems.

Preferred Qualifications

• Understanding and deployment of Reinforcement Learning based tools.
• Prior experience leading end to end through SDLC activities.
• Experience with distributed computing and performance optimization.