Engineering Manager

HireBound; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A prominent technology firm is looking for a Senior Staff Engineer to lead the architecture of scalable, intelligent systems. This key role involves mentoring engineers, guiding architectural decisions, and collaborating across teams. You will leverage your extensive experience in AI/ML and cloud-based platforms to drive innovation and engineering excellence. Strong leadership and communication skills are crucial in this role, along with a passion for developing engineering talent. This position is based in Bengaluru, India.

Qualifications

• 12+ years of experience in software engineering, 5+ in architecture or technical leadership.
• 3+ years leading Staff-level initiatives in large-scale distributed systems.
• Expertise in AI/ML, especially Generative AI.
• Experience with high-availability SaaS platforms in cloud environments.

Responsibilities

• Lead the architectural design reviews and establish coherent technical direction.
• Design scalable AI and Machine Learning solutions.
• Mentor other engineers and set engineering standards.
• Collaborate with cross-functional teams to align technical solutions with business goals.

Skills

Leadership in architecture

AI/ML expertise

Python or Java

System performance optimization

Mentoring skills

Tools

AWS

GCP

Azure

Job description

As a Senior Staff Engineer you’ll lead efforts to build highly scalable, intelligent, and resilient systems that power growth. This is a hands‑on and strategic role where you will architect complex systems, mentor other Staff Engineers and Technical Leads, and champion technical innovation across the company.

What you will be working on?

Strategic Technical Leadership

• Define and evolve organization’s technical architecture and long‑term technology roadmap in alignment with business strategy.
• Lead architectural design reviews and ensure coherent technical direction across multiple product and platform teams.
• Partner with senior leadership across all functions to make strategic build vs. buy, scale vs. optimize, and AI adoption decisions.
• Drive technical vision‑setting for next‑generation AI‑driven capabilities across the product suite.

AI and Systems Architecture

• Design and scale advanced Generative AI and Machine Learning solutions integrated with company’s core workflows.
• Build frameworks to improve system scalability, resilience, and observability for high‑throughput email and data processing.
• Ensure architectural decisions are guided by performance, maintainability, and cost efficiency principles.

Engineering Excellence & Mentorship

• Set and enforce engineering‑wide standards for system design, code quality, and technical documentation.
• Mentor and coach Staff Engineers, Tech Leads, and Senior Engineers, helping them grow as system thinkers and problem solvers.
• Act as the final technical reviewer for complex or high‑risk projects, reducing uncertainty and ensuring timely delivery.
• Build a culture of engineering excellence that values clarity, simplicity, and accountability.

Cross‑Functional Influence

• Collaborate closely with Product, Data, and Design teams to translate business goals into technically feasible and scalable solutions.
• Drive consensus and alignment on key architectural trade‑offs across multiple teams and stakeholders.
• Lead post‑incident reviews and proactively drive initiatives that improve system reliability and developer productivity.

Innovation & Technical Thought Leadership

• Champion emerging technologies — AI, automation, data analytics — to create business leverage.
• Promote a culture of continuous innovation, experimentation, and learning within engineering.
• Represent company’s engineering excellence in external forums, conferences, and open‑source communities.

What we are looking for?

• 12+ years of total experience in software engineering with at least 5+ years in architecture or technical leadership roles.
• 3+ years of experience leading Staff‑level initiatives in large‑scale distributed systems.
• Extensive expertise in AI/ML (including Generative AI), with a deep understanding of model lifecycle management and deployment.
• Proven experience architecting high‑availability, large‑scale SaaS platforms in cloud environments (AWS, GCP or Azure).
• Strong foundation in Python or Java, object‑oriented design, and system performance optimization.
• Advanced understanding of distributed systems, data architecture, and event‑driven design patterns.
• Experience managing technical strategy and decision‑making across multiple teams or product areas.
• Demonstrated ability to navigate ambiguity, build consensus, and influence without direct authority.
• Passion for mentoring and developing senior engineering talent and shaping engineering culture at scale.