Devops Manager

Position: DevOps Manager Location: India (Remote) Employment Type: Full-Time Schedule: Monday to Friday, Day Shift Company Description Scry AI is a research-led enterprise AI company that builds intelligent platforms to drive efficiency, insight, and compliance. Our platforms Collatio®, Auriga®, and Concentio® streamline complex workflows by automating data extraction, validation, reconciliation and delivering real-time intelligence. We are seeking a DevOps Manager to lead our infrastructure, CI/CD, and reliability practices across cloud and on-prem deployments. You will own uptime, performance, security, and cost efficiency for AI/ML workloads powering Collatio®, Auriga®, and Concentio®. Role Overview As DevOps Manager, you will lead a small team of DevOps/SRE engineers to design, automate, and operate secure, compliant, and highly available platforms across AWS/Azure/GCP and customer on-prem environments. You will standardize IaC, improve CI/CD velocity, build robust observability, and enable GPU-accelerated AI inference at scale for enterprise clients. Key Responsibilities Platform Reliability & Operations - Own SLOs/SLIs, availability, latency, and capacity planning across services. - Lead incident response, root-cause analysis, postmortems, and on-call processes. - Implement backup, disaster recovery, and business continuity for multi-region and on-prem. Cloud, On-Prem & Edge Deployments - Architect Kubernetes platforms (managed and self-hosted), including RBAC, network policies, and secrets management. - Standardize infrastructure with Terraform, Helm, and GitOps (Argo CD) for repeatable customer deployments. - Support Concentio® edge/IoT rollouts with secure remote updates and telemetry pipelines. AI/ML & Data Infrastructure - Enable GPU scheduling and drivers (CUDA, NVIDIA), inference runtimes (Triton), and model packaging. - Build MLOps foundations (MLflow, feature stores) and artifact/version governance. - Operate data services (Kafka, PostgreSQL, Redis, MinIO/S3, Elasticsearch/Opensearch) for high-throughput pipelines. CI/CD & Developer Experience - Own CI/CD with GitHub Actions/GitLab CI/Jenkins; establish trunk-based development, automated testing, and canary/blue-green releases. - Maintain internal developer platforms, templates, and golden paths to improve delivery speed and quality. Security, Compliance & Observability - Implement least-privilege access, SSO (Okta/AAD), Vault-based secrets, image scanning (Trivy), and policy as code. - Ensure SOC 2, ISO 27001, HIPAA/GDPR alignment with audit trails and immutable logs. - Build end-to-end observability using Prometheus, Grafana, Loki/EFK, and OpenTelemetry. FinOps & Stakeholder Management - Track cloud spend, rightsize resources, and negotiate quotas for GPU/compute. - Partner with Product, Data Science, and Customer Success to plan capacity for new features and enterprise go-lives. Required Qualifications & Skills - Strong Kubernetes expertise (production operations, networking, security, Helm, GitOps). - Proven IaC experience with Terraform and configuration management (Ansible). - CI/CD at scale with GitHub Actions/GitLab CI/Jenkins; artifact registries andSBOMs. - Observability: Prometheus, Grafana, ELK/EFK or Loki, alerting and runbooks. - Cloud proficiency in at least one major provider (AWS/Azure/GCP) and Linux fundamentals. - Security fundamentals: network segmentation, TLS, secrets management, container hardening. - Experience running data/streaming systems (Kafka, Redis, PostgreSQL) in production. - Excellent communication, incident leadership, and stakeholder management. Nice-to-Have - GPU orchestration, Triton Inference Server, Hugging Face model serving. - Service mesh (Istio/Linkerd), API gateways, and zero-trust patterns. - MLOps tooling (MLflow, Feast), Airflow, dbt. - Compliance implementations for regulated industries (BFSI, healthcare). - Certifications: CKA/CKAD, AWS/Azure/GCP Architect, Security+. Our Ideal Candidate - Drives reliability with automation, not toil. - Balances speed and safety with measurable delivery improvements. - Thrives in customer-facing, hybrid cloud, and on-prem environments. - Coaches teams with clear standards, runbooks, and continuous improvement. Tip for Candidates If you want to build secure, high-performance platforms for real-world AI at enterprise scale, follow our page for more such relevant job openings.