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Senior Platform Lead Engineer – Agentic AI & SaaS
About the Role
We're looking for seasoned platform engineers who are genuinely senior — not just in years of experience, but in the way they think.
This role sits at the heart of our platform engineering efforts, spanning both frontend and backend, with a strong emphasis on building intelligent, agentic AI-powered systems within a modern SaaS environment.
What You'll Do
- Architect and build scalable, maintainable platform components across the full stack — from API design and backend services to frontend architecture and component systems
- Lead technical decision-making on design patterns, system architecture, and cross-cutting concerns (observability, security, performance, resilience)
- Drive the design and implementation of Agentic AI capabilities — including orchestration layers, tool use, multi-agent workflows, and LLM integration patterns
- Collaborate with product and engineering teams to decompose complex problems into clean, pragmatic solutions
- Establish and champion engineering standards, patterns, and best practices across the platform
- Mentor and influence peers through code reviews, technical design sessions, and hands-on pairing
- Proactively identify architectural risks and technical debt, and drive efforts to address them
What We're Looking For
This is non-negotiable:
- Deep expertise in software design patterns, distributed systems architecture, and system design — you think in abstractions, not just frameworks
- Strong problem-solving ability — you can cut through complexity and arrive at solutions that are both practical and principled
- Meaningful experience building and scaling SaaS products — you understand multi-tenancy, scalability, reliability, and the operational realities of cloud-native platforms
- Hands-on experience with Agentic AI systems — you've worked with LLM orchestration (e.g. LangChain, LangGraph, AutoGen, or similar), tool-use patterns, agent memory, and prompt engineering at a systems level
Technical Skills
Strong proficiency in one or more of Python, Node.js, etc — with deep understanding of API design (REST/GraphQL), event-driven architectures, and microservices patterns
Solid experience with modern frontend frameworks (React, Next.js, or equivalent) with an eye for platform-level thinking — design systems, performance, and scalability
AWS, GCP, or Azure; containers, Kubernetes, CI/CD pipelines
Comfortable working across relational, NoSQL, and vector databases in the context of AI/ML workloads
DevOps Engineer – 3–4 Years Experience
About the Role
We are looking for a proactive and skilled DevOps Engineer to support the automation, deployment, and operational stability of our application platforms. The ideal candidate should have strong experience in modern DevOps practices, hands-on exposure to cloud platforms such as Microsoft Azure, AWS, GCP, and working knowledge of on-premises infrastructure environments.
This role sits at the heart of our platform engineering efforts, spanning both frontend and backend, with a strong emphasis on building intelligent, agentic AI-powered systems within a modern SaaS environment.
What You'll Do
- Design, implement, and maintain CI/CD pipelines for reliable and automated application deployments
- Support infrastructure operations across cloud platforms (Azure & AWS) as well as on-premises environments
- Deploy and manage containerized applications using Docker and Kubernetes
- Implement Infrastructure as Code (IaC) using Terraform, Pulumi, ARM templates, or similar tools
- Monitor system performance, logs, and availability using modern observability solutions
- Manage release processes and ensure high system uptime and deployment consistency
- Collaborate with development teams to improve build, test, and deployment workflows
- Support hybrid infrastructure architecture, including connectivity between on-prem and cloud
- Troubleshoot production issues and perform root cause analysis
- Follow security best practices including identity access management, patching, and vulnerability mitigation
What We're Looking For
This is non-negotiable:
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent experience
- 3–4 years of experience in DevOps / Platform Engineering roles
- Hands-on experience with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI
- Working experience with Azure and AWS core services
- Practical knowledge of Docker containers and Kubernetes orchestration platforms
- Experience with Linux system administration and networking fundamentals
- Exposure to on-premises environments such as virtualization platforms, Windows/Linux servers, storage, or network infrastructure
- Experience with Infrastructure Automation tools such as Terraform or scripting (Bash / Python / PowerShell)
Technical Skills
Experience working in hybrid cloud environments with VPN, private networking, and site-to-site connectivity architecture
Exposure to monitoring stacks (Prometheus, Grafana, ELK, etc.)
Understanding of high availability and disaster recovery design concepts
Cloud or DevOps related certifications (preferred)