Senior Infrastructure Engineer

Are you an experienced Infrastructure Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Infrastructure Engineer to work at their company 100% remotely.

Position Summary: We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.

Primary Responsibilities/Accountabilities:

• Design, build, and maintain Python-based services and automation workflows
• Implement MCP for agent communication, control, and observability
• Build, transform, and manage data pipelines supporting AI and analytics use cases
• Deploy, monitor, and optimize solutions in cloud environments
• Collaborate with product, data, and engineering teams to deliver end-to-end solutions
• Ensure code quality, performance, security, and maintainability

Qualifications:

• Python: Advanced proficiency; production experience with APIs, async processing, and testing
• AI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool-using agents, planners, orchestrators)
• MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol-driven AI architectures
• Data Management:
• Data modelling and data pipelines
• Working with SQL and NoSQL databases
• Experience with data quality, governance, and large‐scale datasets
• Cloud Experience:
• Hands-on work in at least one major cloud platform (Azure, AWS, or GCP)
• Experience with cloud storage, compute, and managed services
• Familiarity with CI/CD and cloud native deployment patterns

Preferred:

• Experience with vector databases and embeddings
• Familiarity with MLOps or LLMOps practices
• Experience with streaming data or event-driven architectures
• Knowledge of security and compliance considerations for AI systems
• Prior work in enterprise or large-scale data management
• Healthcare or other data-regulated experience preferred

Engagement Characteristics

• Contractor is expected to work independently with minimal supervision
• Comfortable operating in fast-moving, evolving technical environments
• Strong documentation and communication skills
• Experience collaborating with remote and cross-functional teams

Technical Skills

• AI/LLM Agent and MCP (Model Control Protocols) – Google ADK, Copilot Studio
• Cloud Experience – Google Cloud or Azure preferred.
• Database Knowledge – BigQuery, Firestore, Cloud SQL, etc.
• Data pipeline – Dataflow
• Power Automate
• Automation Tooling – UI Path, etc.
• CI/CD Pipeline – Azure DevOps Pipeline
• Infrastructure as Code (IaC) - Terraform

Role 2: Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms)

Position Summary: We are looking for an experienced Infrastructure Engineer to design, automate, and operate scalable cloud infrastructure supporting data platforms and AI/ML workloads across GCP and Azure. This role focuses on Infrastructure such as Code, CI/CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams.

Primary Responsibilities/Accountabilities:

• Design, provision, and manage cloud infrastructure using Terraform
• Build and maintain CI/CD pipelines using Azure DevOps
• Provision and manage GCP infrastructure, including compute, storage, IAM, and networking
• Support and manage Azure infrastructure (VNets, networking, compute, storage)
• Design and implement network provisioning (VPC/VNet architecture, routing, firewalls, load balancers, private connectivity)
• Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms)
• Provision and support AI/ML infrastructure, including GPU resources and AI platforms
• Implement security best practices, IAM, encryption, and compliance controls
• Optimize infrastructure for performance, reliability, and cost
• Collaborate with data engineering, analytics, and ML teams
• Document infrastructure, architecture, standards, and operational runbooks

Qualifications:

• Strong experience with Terraform (Infrastructure as Code)
• Experience with CI/CD pipelines, preferably Azure DevOps
• Strong hands-on experience with Google Cloud Platform (GCP)
• Solid understanding of cloud networking and network provisioning
• Experience supporting data platforms or large-scale data workloads
• Experience with AI/ML infrastructure
• Strong Linux and scripting skills (Bash, Python, etc.)

Preferred:

• Hands-on experience with Azure infrastructure
• Experience with Kubernetes (GKE / AKS)
• Experience with data services such as BigQuery, Dataflow, Dataproc, Synapse, ADLS, Snowflake
• Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
• Multi-cloud experience and relevant certifications