Position: Staff Software Engineer (IC4)
Category: Engineering
No. of Positions: 5
Work Location: India (Hybrid Model)
Client Industry: Cloud Software (Enterprise SaaS)
We are looking for an experienced Staff Software Engineer (IC4) to join our clients high-performing engineering team. The ideal candidate will have a strong background in software engineering with hands-on expertise in designing and delivering AI/ML-driven systems cloud-based applications and scalable enterprise solutions.
You will collaborate with cross-functional teams including Product Managers and Architects to drive innovation ensure system scalability and deliver impactful solutions across global cloud environments.
Communication
Clearly articulate technical perspectives during discussions with Product Managers Architects and cross-functional teams.
Analysis
Break down business requirements into actionable technical components.
Maintain story hygiene and ensure backlog readiness for implementation.
Solutioning
Collaborate with architects to validate feasibility and refine technical requirements.
Identify gaps and proactively engage with stakeholders to resolve them.
Execution
Translate solution designs into high-quality deliverables.
Perform code reviews ensure design alignment and maintain coding standards.
Represent the team in periodic stakeholder discussions.
Post Go-Live Support
Manage hypercare and post go-live stabilization efforts.
Triage incidents track resolutions and drive performance improvements.
Experience: 4-7 years in software engineering including 3 5 years in AI/ML system design and delivery.
Strong expertise in Java or Python OOP design patterns and time/space-efficient algorithms.
Hands-on experience evaluating and deploying ML models in cloud environments.
Solid understanding of data architecture APIs and distributed systems.
Familiarity with ServiceNow Platform including scripting integrations ACLs Flow Designer and Now Assist (preferred).
Proven ability to deliver independently with minimal supervision and manage stakeholder communications effectively.
Bachelors or Masters degree in Computer Science Engineering or a related technical discipline.
Mode: Hybrid
Interview Mode: Video / Face-to-Face
Shift: General
Background Check: Before onboarding