This is Srikanth from Reliable Software. We currently have an opportunity with one of our direct clients and would like to share the details with you. Please review the information below and let me know if you are interested. If you would like to be considered, kindly share your updated resume at
Job Title: Sr Deployment Engineer – Cloud, Data & AI Platforms
Location: Montvale, NJ (Onsite three days a week)
Contract - W2 only
Key Responsibilities
Enterprise Platform Deployment Leadership
- Lead endtoend deployment of complex cloud, data, and AI platforms across mostly Azure but also AWS
- Own deployment architecture, standards, and operational readiness for nonprod and production environments
- Serve as the senior escalation point for deploymentrelated failures, instability, or performance issues
DevOps & CI/CD Excellence
- Design, build, and optimize enterprisegrade CI/CD pipelines for application, data, and AI workloads
- Establish and enforce deployment best practices including versioning, rollback strategies, and environment parity
- Drive automation to minimize manual deployment effort and reduce operational risk
Kubernetes & Container Platforms
- Lead deployment and operations of containerized platforms on AKS (Azure Kubernetes Service)
- Manage cluster configuration, scaling, ingress/egress, secrets, and workload isolation
- Support container security, resilience, and high availability standards
Data & Analytics Platform Enablement
- Own deployment and operationalization of Databricks and Microsoft Fabric environments
- Support enterprise data workloads including lakehouse architectures, analytics pipelines, and platform integrations
- Partner with data engineering teams to ensure deployments are optimized for scale, cost, and performance
AI Platform Deployment
- Lead deployment of AI solutions using Azure OpenAI Service
- Support environment configuration, endpoint management, security controls, and production hardening
- Operationalize AI workloads responsibly and securely
Infrastructure as Code & Cloud Engineering
- Build and maintain Infrastructure as Code (IaC) using Terraform, ARM/Bicep, or CloudFormation
- Ensure cloud resources follow enterprise security, networking, and governance standards
- Optimize cloud environments for cost efficiency, performance, and reliability
Security, Monitoring & Compliance
- Implement and enforce cloud security best practices (IAM, secrets, encryption, network isolation)
- Own monitoring, logging, and alerting strategy across deployed platforms
- Support audits, compliance reviews, and production readiness validations in regulated environments
Required Technical Skills
Core Expertise (SeniorLevel)
- DevOps & Deployment Engineering in largescale enterprise environments
- Azure Cloud (strong experience across compute, networking, security, and governance)
- AKS (Azure Kubernetes Service) – production deployment and operations
- Databricks – enterprise deployment and platform enablement
- Microsoft Fabric – environment setup and operational support
- AI Platforms – experience deploying solutions using Azure OpenAI Service
- AWS Cloud – handson deployment and operational understanding
Tooling & Technologies
- CI/CD platforms (Azure DevOps, GitHub Actions, Jenkins, or equivalent)
- Infrastructure as Code: Terraform, ARM templates, Bicep, CloudFormation
- Containers & orchestration: Docker, Kubernetes
- Monitoring & observability: Azure Monitor, Log Analytics, CloudWatch, Prometheus
Qualifications & Experience
- 8+ years of experience in Cloud, DevOps, or Deployment Engineering roles
- Proven experience leading deployments for data, analytics, and AI platforms
- Strong background supporting production enterprise systems
- Experience in regulated or auditdriven environments is highly preferred
- Ability to operate independently and lead complex deployment initiatives endtoend
Educational Qualifications:
- Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
- Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
Travel:
· Open to travel based up on the nature of the engagement.
Thanks & Regards
Srikanth Donkani Resource Manager | Reliable Software Direct: |
AI & Analytics Generative AI Machine Learning Cloud DevOps SAP Data Engineering Data Science Databricks Snowflake |
Industries: Government | Healthcare | Banking | Manufacturing | Retail ISO Cert: 9001 | 27001 Equal Employment Opportunity Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law. Employment decisions are based solely on qualifications, merit and business needs. |
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