Support Lead

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! **Role:  **Lead Support Engineer**** **Experience Level:  **8-15 Years**** **Work location:  **Trivandrum**** As a Application Lead for the Production Engineering (PE) and Service Delivery (SD) stream, you will take ownership of the reliability, scalability, and availability of critical healthcare AI platforms. You will move beyond day-to-day ticket resolution to define the Support Strategy, focusing on Site Reliability Engineering (SRE) principles. You will lead a team of engineers, guiding them through complex incident resolutions, orchestrating cloud automation, and bridging the gap between Data Engineering, ML Engineering, and Operations. You will serve as the primary escalation point and technical architect for support operations, ensuring high availability for multi-geography projects. **Role & Responsibilities-** **Technical Leadership & Strategy** * Lead and mentor senior and junior support engineers; conduct code reviews, technical sessions, and manage 24/7 shift rotations. * Implement **SRE best practices** by defining and tracking **SLOs, SLIs, and Error Budgets**. * Act as **Major Incident Manager and primary escalation point**, leading war rooms, RCAs, and corrective actions. **Automation & Reliability Engineering** * Architect and enforce **IaC standards** using **Terraform/CloudFormation** to ensure reproducible, self-healing environments. * Design and maintain **monitoring, logging, and alerting** systems for proactive issue detection. * Ensure **zero-downtime releases**, automated rollbacks, and mature CI/CD pipelines. **Collaboration & Innovation** * Partner with Solution Architects and engineering teams to improve system **supportability and maintainability**. * Introduce modern **cloud-native tools** to enhance automation and operational efficiency. **Technical Skills** **Cloud & Infrastructure (AWS/GCP)** * Compute & Serverless: EC2/GCE, Lambda/Cloud Functions, autoscaling with custom metrics. * Networking: VPCs, Transit Gateways, Load Balancers, DNS, VPN/Direct Connect. * Security: IAM (least privilege), KMS, WAF, secure public endpoints. * Storage: S3/GCS lifecycle policies, EBS/Persistent Disk optimization. **Software Engineering** * Strong development experience in **Python (Flask/Django/FastAPI)** or **Java (Spring Boot)**. * Proven ability in **deep code debugging**, performance tuning, and memory leak analysis. * Hands-on experience with PRs, code reviews, and automated testing. **Microservices & Kubernetes** * Microservices using **REST, gRPC, Kafka/SQS/PubSub** with resiliency patterns. * Distributed tracing and observability using **OpenTelemetry**. * Kubernetes (EKS/GKE): cluster upgrades, ingress, autoscaling (HPA/VPA), security policies. * Experience with **Helm charts** and Kubernetes Operators. **Automation, IaC & DevOps** * Terraform modules, remote state management, multi-environment setups. * Ansible for configuration management and OS hardening. * CI/CD with **Jenkins**, Gitflow/Trunk-based strategies. * Artifact and container registry management (Docker, Artifactory, Nexus). **Databases & Caching** * PostgreSQL performance tuning, replication, and DR strategies. * NoSQL databases (Cassandra/MongoDB) and caching layers (Redis/Memcached). _If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us__!_