About the role
14+ years in product engineering, with strong experience designing and building scalable enterprise SaaS platforms.
Strong expertise in Java and Spring Boot based enterprise application development.
Deep understanding of distributed systems, scalable architectures, and cloud-native design principles.
Proven experience designing and building microservices-based platforms.
Strong experience with REST APIs, asynchronous messaging, and event-driven systems; Kafka or other streaming/event platforms.
Strong understanding of performance tuning, scalability, caching, and resiliency patterns.
Cloud Platforms (AWS Primary)
AWS (primary, expert level): EC2, ECS/EKS, S3, RDS/Aurora, Lambda, CloudWatch, IAM, VPC, Transit Gateway,
Route 53, ALB/NLB, CloudFront, API Gateway, KMS, Secrets Manager, and Organizations/Control Tower.
Infrastructure as code (Terraform, CloudFormation, or CDK) and GitOps-style delivery for containers and Kubernetes.
Good to have: hands-on or working knowledge of Azure (VNet, AKS, Entra ID, Azure Monitor, Defender for Cloud) and exposure to GCP or other cloud platforms, for portability, customer-driven deployments, and multi-cloud design.
Platform Architecture
Network topology: multi-account and multi-VPC design, hub-and-spoke or Transit Gateway, hybrid connectivity (VPN, Direct Connect), DNS, load balancing, CDN and WAF, PrivateLink, service mesh, and zero-trust networking.
Cloud and application security: IAM and least-privilege design, encryption and key management, tenant isolation, secrets management, threat modeling, OWASP/ASVS, secure SDLC tooling, and compliance in regulated settings (HIPAA, HITRUST, SOC 2, ISO 27001).
Cost and capacity management: FinOps practices, unit-cost modeling, tagging and allocation, commitment-based discounts, capacity forecasting, load testing, and autoscaling design.
Observability and reliability: logs, metrics, and traces with OpenTelemetry or equivalent; SLI/SLO and error-budget practices; DR and multi-AZ/multi-region design with defined RTO and RPO; incident management and chaos testing.
AI powered Development
Familiarity with AI-assisted development tooling and related concepts.
Leadership & Execution
Proven experience leading large-scale product engineering initiatives.
Strong architectural decision-making and problem-solving skills, with the ability to document and defend trade- offs (e.g., through architecture decision records).
Ability to influence teams across organizational boundaries.
Excellent communication and stakeholder management skills, including with security, finance, and executive audiences.
Ability to operate effectively in fast-paced and evolving product environments.
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