DevSecOps Lead

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲: We looking for a highly experienced and innovative Senior DevSecOps & Solution Architect to lead the design, implementation, and security of modern, scalable solutions across cloud platforms. The ideal candidate will bring a unique blend of DevSecOps practices, solution architecture, observability frameworks, and AI/ML expertise — with hands-on experience in data and workload migration from on-premises to cloud or cloud-to-cloud. You will play a pivotal role in transforming and securing our enterprise-grade infrastructure, automating deployments, designing intelligent systems, and implementing monitoring strategies for mission-critical applications. 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: • Own CI/CD strategy, automation pipelines, IaC (Terraform, Ansible), and container • orchestration (Docker, Kubernetes, Helm). • Champion DevSecOps best practices – embedding security into every stage of the SDLC. • Manage secrets, credentials, and secure service-to-service communication using Vault, • AWS Secrets Manager, or Azure Key Vault. • Conduct infrastructure hardening, automated compliance checks (CIS, SOC 2, ISO • 27001), and vulnerability management. • Solution Architecture: • Architect scalable, fault-tolerant, cloud-native solutions (AWS, Azure, or GCP). • Design end-to-end data flows, microservices, and serverless components. • Lead migration strategies for on-premises to cloud or cloud-to-cloud transitions, • ensuring minimal downtime and security continuity. • Create technical architecture documents, solution blueprints, BOMs, and migration • playbooks. • Observability & Monitoring: • Implement modern observability stacks: OpenTelemetry, ELK, Prometheus/Grafana, • DataDog, or New Relic. • Define golden signals (latency, errors, saturation, traffic) and enable APM, RUM, and log • aggregation. • Design SLOs/SLIs and establish proactive alerting for high-availability environments. 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 &𝗮𝗺𝗽; 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: • Integrate AI/ML into existing systems for intelligent automation, data insights, and • anomaly detection. • Collaborate with data scientists to operationalize models using MLflow, SageMaker, • Azure ML, or custom pipelines. • Work with LLMs and foundational models (OpenAI, Hugging Face, Bedrock) for POCs or • production-ready features. • Migration & Transformation: • Lead complex data migration projects across heterogeneous environments — legacy • systems to cloud, or inter-cloud (e.g., AWS to Azure). • Ensure data integrity, encryption, schema mapping, and downtime minimization • throughout migration efforts. • Use tools such as AWS DMS, Azure Data Factory, GCP Transfer Services, or custom • scripts for lift-and-shift and re-architecture. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 &𝗮𝗺𝗽; 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: • 10+ years in DevOps, cloud architecture, or platform engineering roles. • Expert in AWS and/or Azure – including IAM, VPC, EC2, Lambda/Functions, S3/Blob, API • Gateway, and container services (EKS/AKS). • Proficient in infrastructure as code: Terraform, CloudFormation, Ansible. • Hands-on with Kubernetes (k8s), Helm, GitOps workflows. • Strong programming/scripting skills in Python, Shell, or PowerShell. • Practical knowledge of AI/ML tools, libraries (TensorFlow, PyTorch, scikit-learn), and • model lifecycle management. • Demonstrated success in large-scale migrations and hybrid architecture. • Solid understanding of application security, identity federation, and compliance. Familiar with agile practices, project estimation, and stakeholder communication. 𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲: • Certifications: AWS Solutions Architect, Azure Architect, Certified Kubernetes Admin, or similar. • Experience with Kafka, RabbitMQ, event-driven architecture. • Exposure to n8n, OpenFaaS, or AI agents. Show more Show less