Senior Backend Architect / Principal Backend Engineer (AI-Driven SaaS Platform)
We are hiring a Senior Backend Architect / Principal Backend Engineer with 15+ years of backend engineering experience and strong AI/LLM integration expertise to help design, scale, and evolve our AI-driven continuous cybersecurity compliance platform.
This is a senior, hands-on technical leadership role. You will own backend architecture decisions, guide platform scalability, and work closely with AI, security, and product teams to build a secure, intelligent, enterprise-grade SaaS platform.

Key Responsibilities
Own and evolve the core backend architecture for a multi-tenant, cloud-native SaaS platform
Design and build high-performance APIs and microservices using Java (Spring Boot) and Node.js
Ensure scalability, resilience, security, and performance at enterprise scale
Drive architectural decisions around microservices, event-driven systems, and async processing
Review, refactor, and elevate existing codebases to senior-engineering standards

AI & Intelligent Systems
Design backend services that integrate with LLMs and AI services (OpenAI, Azure OpenAI, HuggingFace, etc.)
Build AI orchestration layers, prompt pipelines, and inference workflows
Implement vector databases and embedding workflows (Pinecone, Weaviate, FAISS, OpenSearch, etc.)
Enable AI guardrails, explainability, auditability, and enterprise controls
Partner with AI engineers on prompt optimization, evaluation, and feedback loops
Data & Platform Engineering
Design and optimize relational and NoSQL data models (PostgreSQL, MySQL, DynamoDB, MongoDB, etc.)
Build ingestion pipelines from cloud platforms, security tools, and enterprise systems
Implement caching, search, and analytics layers for real-time insights and dashboards
Cloud, Security & DevOps
Architect and operate backend services on AWS and/or Azure
Build secure CI/CD pipelines, secrets management, and automated deployments
Ensure systems align with enterprise security standards (SOC 2, ISO 27001, HIPAA, PCI where applicable)
Apply secure-by-design principles across APIs, data access, and integrations
Technical Leadership
Act as a senior technical mentor for engineers across the team
Lead architecture reviews, code reviews, and technical design discussions
Partner with Product, AI, and Security teams to translate requirements into scalable systems
Influence long-term platform roadmap and technology strategy
Required Qualifications
15+ years of backend engineering experience building enterprise platforms
Deep expertise in Java (Spring Boot) and Node.js
Strong experience with microservices, distributed systems, and API-first design
Proven experience building and scaling SaaS platforms
AI Experience (Must-Have)
Hands-on experience integrating LLMs / AI services into production systems
Experience with vector databases, embeddings, and AI pipelines
Understanding of AI system constraints (latency, cost, security, hallucinations)
Ability to design backend systems that safely operationalize AI
Cloud & DevOps
Strong experience with AWS and/or Azure
Experience with Docker, Kubernetes, CI/CD, and observability tooling
Security Mindset
Experience building systems for regulated or security-sensitive environments
Strong understanding of authentication, authorization, encryption, and data protection

Nice to Have
Experience in cybersecurity, risk, or compliance platforms
Exposure to Kafka or event-driven architectures
Experience with agentic or autonomous AI workflows
Startup or scale-up experience

Why Join Us
Build a next-generation AI-driven cybersecurity platform
Influence core architecture and AI strategy from the ground up
Work at the intersection of AI, security, and enterprise SaaS
High ownership, high impact, and meaningful technical challenges

Additional Role Details
Compensation: Competitive salary + Performance based bonus
Location: Fully remote; overlap with US time zones preferred
Ownership: High-impact role with end-to-end ownership of backend architecture and AI platform decisions
AI Maturity: AI is production-grade and integrated into core platform workflows (not a POC)
Collaboration: Work directly with Founder/Leadership and closely with Product, AI, and Security teams
Engineering Culture: Strong focus on clean architecture, scalability, security, and long-term maintainability

Work Model
Engagement with a US-based company on a contractor / consulting basis from India
Structured for high in-hand take-home compensation
Long-term engagement with senior-level ownership and impact
Fully remote with reasonable US time-zone overlap

Senior Back End and AI Developer

AI-Driven Continuous Cybersecurity Compliance

Job Description

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