DevOps Architect

3 days ago

Mumbai, India Episeio Business Solutions Full time

Description :About the RoleWe are seeking a DevOps Architect who will design, implement, and optimize the cloud-native infrastructure powering our SaaS platform.This role is highly technical and requires deep expertise in distributed systems, microservices, CI/CD pipelines, system reliability, infra automation, and high-availability architectures.You will work closely with backend engineers, SREs, and data/ML teams to ensure a stable, scalable, and secure production environment.Key Responsibilities :- Architect end-to-end DevOps pipelines, cloud environments, and automation frameworks.- Build, maintain, and scale microservices infrastructure on AWS with Kubernetes, service mesh, and GitOps.- Create CI/CD pipelines from scratch with auto-scaling, blue/green, and canary strategy support.- Implement observability frameworks including metrics, logs, traces, and automated alerting.- Solve complex infra/code/network performance bottlenecks and drive RCA for critical incidents.- Orchestrate real-time data pipelines, ML pipelines, vector stores, and API infrastructure.- Create infrastructure-as-code modules Ensure strong DevSecOps posture identity, access control, encryption, vulnerability scanning.Core Technical Skills (Essential) :- Strong hands-on experience with Node.js, Python, or Go for backend + tooling.- Expert in Docker, Kubernetes (EKS preferred), GitOps (ArgoCD/Flux).- Deep AWS expertise (EC2, S3, RDS, DynamoDB, EKS, Lambda, CloudWatch, IAM).- CI/CD design with GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.- Strong debugging across infra (K8s), networks (VPC, NACL, SG), and services (APIs).- Observability stack: Prometheus, Grafana, Loki/ELK, OpenTelemetry.Desirable Technical Skills :- Experience with Kafka/Kinesis, event-driven systems.- AI/ML infra exposure model deployments, embeddings, vector databases like Redis/Pinecone.- Knowledge of RLHF, RL4LM, or similar ML lifecycle workflows.- Experience with performance hardening and resilience testing (chaos engineering) (ref:hirist.tech)

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