Platform Engineer

The core responsibilities for the job include the following:

Cloud Infrastructure and Platform Architecture (MUST):

• Design, implement, and manage scalable cloud infrastructure primarily on AWS (with exposure to GCP/Azure).
• Build ground-up multi-region network architectures for enterprise workloads, securing networks into layered trust zones (subnets, VPC peering/privatelinks, NAT gateways at scale).
• Architect high-availability (HA) and disaster recovery (DR) setups aligned with strict RPOs and RTOs.
• Design compute, storage, and networking layers for complex, high-throughput systems (microservices, data pipelines, LLM inference endpoints, and vector databases).
• Automate infrastructure management end-to-end using Infrastructure-as-Code (IaC) tools (e. g., Terraform, CloudFormation).

Containerization and Orchestration (MUST):

• Set up, monitor, and manage large-scale Kubernetes (EKS/GKE) clusters for seamless deployment of microservices and AI workloads.
• Manage persistent volume configurations for dynamic pods at scale.
• Implement best practices for networking policies, service meshes, and ingress control within Kubernetes.

Engineering and Technical Leadership (MUST):

• Leverage your application engineering background (Python, Java, Node.js, Go, etc. ) to review developer architectures, optimize backend performance, and build internal platform tooling.
• Act as a bridge between core product engineering and infrastructure, ensuring applications are designed natively for auto-scaling and cloud reliability.
• Provide technical mentorship to engineers on deployment strategies, distributed debugging, and cloud-native development practices.

Performance Monitoring and Troubleshooting:

• Implement robust observability and telemetry frameworks (APM, distributed tracing, metrics, logging) to track system health and AI model runtime performance.
• Lead root-cause analysis (RCA) for critical incidents and drive proactive system fixes to eliminate downtime.

CI/CD and Security (Good to Have):

• Oversee and optimize existing CI/CD automation and deployment workflows to maintain high developer velocity.
• Integrate basic security scanning (SAST/DAST) and ensure general alignment with security and compliance standards.

Requirements:

• 8-12+ years of total experience in software engineering and infrastructure management, ideally within early-stage to growth-stage startups or AI/SaaS companies.
• Dual Engineering Background: Proven track record of having spent time as a Lead Backend/Software Engineer (Python, Java, Node.js, Go) before leading a DevOps/Infrastructure/Platform Engineering charter.
• Cloud and K8s Mastery: Heavy hands-on experience designing HA/DR cloud architectures on AWS/GCP and orchestrating Kubernetes clusters at scale (CKA certification is a plus).
• Startup Mindset: Comfortable wearing multiple hats, working in fast-paced environments, and driving systems from 0 to 1 and 1 to 10
• Leadership: Strong hands-on technical leader who "leads by example" and is capable of diving deep into code, network configs, and architectural whiteboarding.