Company

Technology

StaffSoftwareEngineer

₹35–55L ~AI est. India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Software Engineer. Skills: Distributed systems, System design, Cloud infrastructure, Technical leadership. Define technical architecture. Drive technical architecture”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Proficiency in Python, Production experience in one additional language, Designing and owning large-scale production systems, Experience leading cross-team initiatives, Deep understanding of system design principles, DevOps and cloud infrastructure experience, Experience mentoring engineers

Nice to Have

Kubernetes experience a plus, AWS/Azure/GCP experience a plus, CI/CD pipelines experience a plus, Observability tools experience a plus, AI-assisted development workflows familiarity, Openness to integrating AI tools

What You'll Do.

Define technical architecture

Drive technical architecture

Translate business requirements

Translate product requirements

Develop technical strategies

Break down initiatives

Design production systems

Build production systems

Operate production systems

Lead cross-team initiatives

Influence engineering decisions

Drive alignment through RFCs

Drive alignment through architecture reviews

Own systems end-to-end

Enhance system capabilities

Raise engineering standards

Contribute to technical culture

How You'll Work.

Team & Collaboration

Cross-team initiatives; Engineering decisions; Architecture reviews

Communication Scope

RFCs

Process & Methodology

Delivery plans

Full Job Description

## Accountabilities Define and drive the technical architecture for large-scale distributed systems, including ingestion pipelines, API integrations, and entitlement enforcement services. Translate ambiguous business and product requirements into clear technical strategies, breaking down complex initiatives into executable delivery plans. Design, build, and operate production-grade systems with a strong focus on scalability, reliability, security, and performance. Lead cross-team technical initiatives, influence engineering decisions beyond your direct team, and drive alignment through RFCs and architecture reviews. Own systems end-to-end in production, including monitoring, incident response, and continuous reliability improvements. Integrate and evaluate AI-assisted development tools and, where relevant, AI/ML models to enhance system capabilities. Mentor engineers, raise engineering standards through code reviews and documentation, and contribute to a strong technical culture. Requirements: Strong proficiency in Python, with production experience in at least one additional programming language. Proven track record of designing and owning large-scale production systems with significant architectural responsibility. Experience leading cross-team initiatives such as migrations, platform evolution, or distributed system redesigns without formal authority. Deep understanding of system design principles, including scalability, failure modes, observability, and operational excellence. Strong DevOps and cloud infrastructure experience (e.g., Kubernetes, AWS/Azure/GCP, CI/CD pipelines, observability tools). Experience mentoring engineers and elevating team performance through technical leadership and collaboration. Familiarity with AI-assisted development workflows and openness to integrating modern AI tools into engineering practice. Benefits: High-impact role with direct influence on systems used by global enterprise customers. Significant technical ownership with auton

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