Multiple Position
Abhinav Mohanty
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Position: 1
Role name: AI Architect
Work site: Atlanta (Hybrid)
Client: - Capgemini
Max Rate: $65/hr max
Visa:- No
H1B/OPT/CPT
Job Description:
Minimum 2+ years of experience in AI (Generative or
Agentic AI).
Strong hands-on experience building Gen AI and Agentic AI solutions using
LangGraph or Google ADK.
Good understanding of LLM models available in the market and their usage in
real-world use cases.
Experience with Oracle AI ecosystem:
Oracle Fusion AI Agent Studio
Oracle OCI ADK Framework
Oracle SELECT AI (NL2SQL and Agent Framework)
Oracle OCI Generative AI and Generative AI Agents
Oracle OCI Document Understanding Service
Oracle Hosted LLM Models
Knowledge of Oracle Fusion ERP or SCM or HCM or EEM(added advantage).
Position: 2
Role: Release Engineer
Location: Seattle, WA (Hybrid) - Local only
Client: Starbucks
Visa: No
H1B/CPT/OPT
Job Description:
Focus: CI/CD automation, Azure DevOps, YAML pipelines, Kubernetes deployments, PowerShell & Python scripting, HashiCorp Vault
Role Summary
The Senior Release Engineer will design, build, and maintain a custom-build deployment platform supporting new initiatives. This role is hands-on and responsible for ensuring reliable, standardized, and automated deployments to both cloud and in-store Kubernetes environments. I am also open to someone extremely strong in doing the same tasks with AWS.
Key Responsibilities
· Design and implement YAML-based CI/CD pipelines in Azure DevOps, supporting repeatable and automated deployments.
· Create and maintain templates, tasks, and policies that standardize pipeline usage across teams.
· Develop PowerShell and Python scripts for automation, packaging, validation, and deployment workflows.
· Manage and optimize Kubernetes-based deployments (container builds, Helm charts, manifests, rollout strategies).
· Implement canary deployments and automated validation to reduce release risk and downtime.
· Enforce governance, security, and policy compliance across release processes using integrated checks and triggers.
· Integrate with HashiCorp or Azure Key Vault for secure secrets management within pipelines.
· Collaborate with platform, infrastructure, and release teams to define best practices for continuous delivery.
· Troubleshoot and resolve build, deployment, and environment-related issues.
· Experience with build agents
· Document automation patterns, templates, and pipeline design standards.
Required Skills & Experience
· 7+ years of experience in release engineering, DevOps, or build/release automation.
· Strong proficiency with Azure DevOps, including YAML pipelines, artifacts, and environments.
· Expertise in PowerShell and Python for automation and scripting.
· Deep understanding of Kubernetes — must be able to manage deployments and troubleshoot issues.
· Experience implementing continuous delivery patterns such as canary or blue/green deployments.
· Solid grasp of CI/CD governance, including approvals, policy enforcement, and auditing.
· Understanding of MongoDB concepts and how to interact with it (administration experience not required).
Preferred Skills
· Familiarity with container management platforms
· Familiarity with HashiCorp Vault for secret and configuration management.
· Experience with configuration-as-code and GitOps methodologies.
· Awareness of modern observability and monitoring integrations.