Engineering Manager

About Iksha Labs

Iksha Labs builds intelligent agents and automation-driven platforms that help businesses operate more efficiently and reduce manual effort. Our work spans AI-driven workflows, healthcare technology, insurance systems, and automation platforms.

We operate in a mixed product and client-delivery environment where systems must be both reliable and adaptable. The engineering challenge here is not only building features, but bringing structure, scalability, and predictability to fast-evolving requirements.

This role is intended to help strengthen engineering stability, delivery confidence, and system reliability as we scale.

About the Role

We are looking for an Engineering Manager (Ruby on Rails) who will take ownership of backend architecture, technical decision-making, and engineering execution across projects while remaining technically hands-on for core system areas.

This is not a feature-development role.

This is a technical leadership role responsible for converting business goals into reliable engineering systems.

You will act as the technical anchor between product, business stakeholders, and the engineering team.

What You Will Do

1. Architecture & Technical Direction

• Own overall backend architecture and long-term technical roadmap
• Design scalable, secure, and maintainable systems
• Establish engineering standards, coding practices, and review processes
• Identify technical risks early and propose safer alternatives
• Ensure system reliability, performance, and data integrity

2. Requirement Structuring & Stakeholder Translation

• Work with product and business stakeholders to convert ambiguous requirements into clear technical specifications
• Identify missing assumptions before development begins
• Prevent uncontrolled scope changes and rework

3. Hands-On Engineering (Core Systems)

• Remain hands-on for system-critical modules, debugging, and architectural foundations
• Guide complex feature implementation rather than acting as a routine feature developer
• Lead root-cause analysis for production issues
• Oversee database design and performance optimization (Postgres, MongoDB, RedShift)

4. Engineering Enablement

• Mentor developers and guide technical growth
• Conduct architecture and code reviews
• Improve engineering productivity and development practices
• Support hiring and technical evaluations
• Help teams become self-sufficient and consistent

Delivery Ownership & Technical Accountability

• Define implementation approach and technical design before development begins
• Align engineering timelines with feasibility and system constraints
• Flag risks and dependencies early to avoid downstream delays
• Ensure releases meet stability and data integrity standards
• Work with business and client stakeholders to set realistic technical expectations

Required Experience

• 8–12+ years backend development experience
• Strong Ruby on Rails expertise
• Deep knowledge of PostgreSQL (data modeling & performance)
• Experience designing scalable SaaS platforms
• Experience handling production systems and debugging live failures
• Strong system design and distributed systems understanding
• Experience working directly with non-technical stakeholders
• AWS or comparable cloud infrastructure exposure

Good to Have

• Exposure to GoLang, NodeJs, AI systems, workflow automation, or data pipelines
• DevOps and deployment architecture experience
• Experience improving delivery in fast-changing environments

What We're Specifically Looking For

Someone who:

• has stabilized messy or evolving systems before
• can operate without fully defined requirements
• can structure engineering work instead of waiting for clarity
• can protect engineering quality while supporting business urgency
• is comfortable making decisions and being accountable for them

This role is not suited for candidates who prefer narrowly scoped feature development or highly predefined product environments.

Why Join Iksha Labs

• High ownership and real technical influence
• Opportunity to shape engineering practices and architecture
• Work across AI platforms, automation systems, and real-world deployments
• Direct impact on company engineering culture and delivery capability