Senior Staff Software Engineer

Overview

Senior Staff Software Engineer at JazzX AI, a principal technical owner of the platform's most critical architectural foundations. A highly hands-on, senior individual contributor role with company-wide technical influence.

What you'll do

• Define and evolve the end-to-end architecture for core platform services that power JazzX's AI-native enterprise system.
• Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
• Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
• Drive architectural reviews, RFCs, and long-term technical planning across teams.
• Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions.
• Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics.
• Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
• Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
• Guide containerization, orchestration, and Infrastructure-as-Code standards.
• Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.
• Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
• Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
• Ensure platform components are modular, composable, and well documented.
• Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
• Define and enforce SLAs, SLOs, and reliability standards.
• Drive best practices around observability, distributed tracing, alerting, and incident response.
• Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
• Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
• Act as a trusted technical advisor to senior engineering and product leadership.

What you'll need

• 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
• Proven track record of owning and evolving complex distributed systems or platform architectures.
• Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
• Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
• Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
• Strong proficiency in Python, with deep experience in at least one of: Java (Primary), Go, or JavaScript.
• Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
• Ability to make sound architectural decisions under ambiguity and evolving requirements.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Strong understanding of observability stacks, metrics, logging, and distributed tracing.
• Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
• Familiarity with enterprise security, access control, and compliance considerations.
• Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.).
• Hands-on experience with BPMN-based or workflow-driven systems.

Nice to have

• Experience building or operating platforms that support AI/ML or data intensive workloads.
• Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
• Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms.

Details

• Location: Bengaluru, Karnataka.