Senior Staff Software Engineer
About JazzX AI
JazzX AI delivers value across the full AI application lifecycle:
Next-Generation Enterprise AI Platform A production-grade AI platform that orchestrates foundation models, reasoning systems, agents, retrieval, evaluation, and guardrails—designed for reliability, safety, and scale.
AI Builder Studio (Low-Code / No-Code)
A modern Builder Studio enabling developers and non-developers to design, compose, and deploy AI-powered workflows using visual and declarative abstractions .
First-Party Enterprise Applications Customer-facing enterprise applications built on the same platform, ensuring dogfooding, rapid iteration, and real-world validation at scale. We are starting with residential lending—a domain defined by deep due diligence, complex policies, and expert judgment—and are building a horizontal AI platform that will extend across knowledge-intensive industries.
Role Overview
As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platformʼs most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.
You will lead the design and evolution of core platform systems, shape long term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:
The long-term architecture of JazzXʼs AI-native SaaS + PaaS platform
How AI capabilities are safely, reliably, and audibly operationalized at scale
Platform reliability, performance, security, and developer experience
Engineering standards, architectural principles, and technical decision making across the organization
This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.
What You Will Do
Platform & System Architecture
Define and evolve the end-to-end architecture for core platform services that power JazzXʼs 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.
Cloud-Native & Infrastructure Foundations
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.
Developer Experience & Platform Enablement
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.
Act as a force multiplier for engineering velocity across the organization.
Operational Excellence & Reliability
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.
Continuously improve operational maturity as the platform scales.
Technical Leadership & Organizational Influence
Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
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 Weʼre Looking For
Required Qualifications
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.
Software Engineering Excellence
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.
Platform, Data & Infrastructure Skills
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 .
AI / ML (Strong Plus)
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 is a strong plus.
What Sets You Apart
You think in platforms and systems, not just services.
You lead through technical depth, execution, and influence, not authority.
You are comfortable owning decisions with long-term architectural consequences.
You care deeply about production quality, reliability, and maintainability.
You thrive in environments where the platform is still being defined.