Job Title

Get My SaaSTech Lead – DevOps Engineer & ArchitectPosition Type: Full-Time Location: Remote Reports To: Founder & Tech Advisors1. Role SummaryThis role is pivotal in architecting, planning, and executing the backend infrastructure of an AI-powered SaaS marketplace. The scope includes both SaaS operations and AI/ML pipelines. The candidate must possess hands-on expertise in Infrastructure as Code (IaC), cloud-native architectures, DevOps automation, and cross-functional team leadership. Ownership, innovation, and delivery excellence in a dynamic startup environment are non-negotiable.2. Engagement Scope2.1 Type of EngagementFull-time role with flexible hours.Remote-first and async collaboration culture.Performance will be evaluated through weekly deliverables and progress checkpoints.Requires structured autonomy and tight coordination with engineering and AI/ML teams.2.2 Work NatureDeliverable-based execution (not hourly tracking).Requires proactive ownership, clear communication, and occasional contributions outside core responsibilities due to startup constraints.3. Key Responsibilities3.1 Initial Phase: Planning & Architecture (2 Weeks)Gather technical requirements across AI/ML, data, and backend teams.Finalize cloud architecture (AWS-centric) with cost-efficient, open-source tooling where applicable.Design infrastructure encompassing:SaaS backend servicesML training/inference pipelinesMonitoring and observability stackCI/CD systemsSecurity/compliance (IAM, VPC, WAF)Develop a roadmap using Terraform or other IaC tools (Pulumi, CDK).Evaluate modern ISE platforms (e.g., System Initiative, Cortex, Morpheus Data) for integration potential.3.2 Development Phase (Weeks 4–8)Provision AWS resources using Terraform and integrate GitOps pipelines.Set up AI/ML infrastructure with AWS SageMaker, Bedrock, and open-source alternatives.Implement DevOps automation:CI/CD pipelines (CodePipeline, GitOps)Serverless APIs with Lambda/API GatewayContainerized deployments (Fargate, ECS, EKS)Deploy observability tools:Logging (OpenTelemetry)Monitoring (Prometheus, Grafana)Alerting and incident managementEnsure production-grade reliability with autoscaling, failover, and DR mechanisms.3.3 Cross-Functional Leadership (Ongoing)Lead infrastructure planning and execution with:AI/ML Engineers (for model training/inference)Data Engineers (ETL, pipelines)Full-stack Developers (backend APIs, DB infrastructure)Drive hiring/resource planning for backend and DevOps functions.Own infrastructure-level decisions and performance/cost optimizations.3.4 Continuous Responsibilities (Weekly)Lead weekly sprints and 1:1 check-ins.Maintain technical documentation (architecture, configs, deployment workflows).Monitor system health and proactively resolve issues.Improve DevOps maturity via internal tooling, workflow automation, and incident response practices.Stay current with trends in MLOps, AIOps, and serverless Ops; recommend new tools or upgrades.4. Required Technical CompetenciesCloud Infrastructure: Expert-level AWS (EC2, Lambda, EKS, SageMaker, IAM, VPC).IaC & GitOps: Deep experience with Terraform, Pulumi, AWS CDK, GitOps-based automation.AI/ML Infrastructure: Familiarity with ML pipelines, GPU workloads, AutoML, inference serving, model versioning.DevOps/MLOps: Strong in Docker, Kubernetes, CI/CD best practices, AIOps tooling.Observability: Experience deploying logging, metrics, alerting systems; focus on reliability.Tool Evaluation: Ability to assess and implement cost-effective, open-source, enterprise-grade solutions.5. Required Soft Skills & AttributesProven leadership in managing technical teams.Ability to convert business goals into execution-ready tech plans.Strong communication and collaboration skills.High ownership and bias toward action.Precision in planning, execution, and documentation.Startup mindset: adaptable, proactive, outcome-driven.6. Collaboration & ReportingInterfaces with:AI/ML EngineersData EngineersBackend DevelopersProject Manager (Founder)Tools:Communication, Documentation & PM: Using a project & work scope tracker and communicatorCadence:Weekly sprint planning & retrospectivesAsynchronous daily updates7. Deliverables & KPIsDeliverables and KPIs will be finalized post the initial 2-week planning phase.Development roadmap must incorporate inputs from technical advisors and will be used to track performance.Milestones will align with sprint-based execution and weekly progress reviews.8. Special NotesSupported by a core team including:AI/ML EngineerBackend and frontend developersData EngineerWhile the company is bootstrapped, support is available — but initiative and adaptability are essential.This role is foundational to establishing scalable, secure, and reliable infrastructure.