Senior AI & Platform Integration Engineer

Description

We are looking for a Senior AI & Platform Integration Engineer to join a cross-product-architecture initiative aimed at reducing deployment tool sprawl across the client's applications and migrating them to standard technologies. This project focuses on building and implementing an AI-assisted Migration Framework using autonomous AI agents to automate application lifecycle management, streamline migrations for Lines of Business, and accelerate product upgrade cycles within a secure Sovereign Cloud environment. Responsibilities Develop the core AI agent modules, including the Migration Agent for automatic artifact conversion and deployment metadata tagging Build the pre-deployment validation module to perform automated config checks and dependency resolution Design the deployment orchestration module to manage deployment sequencing logic Create the post-deployment verification module to serve as a copilot for human operators during validation and rollback Integrate developed AI agents with the confirmed SCS toolchain, such as Jenkins, Tekton, or ArgoCD Write robust audit logging code that captures agent decisions and reasoning, connecting it to the existing monitoring stack Maintain high code quality through unit, integration, and E2E testing, ensuring a minimum of 80% unit-test coverage Produce technical runbooks, onboarding manuals, and operational guides Support the knowledge transfer process to the operations team Requirements 5+ years of experience in backend engineering, with expertise in writing clean, modular, and asynchronous code Proficiency in AI-agent workflow development, including LLM APIs, prompt engineering, and AI-based parsing of raw configurations or code Hands-on experience configuring and extending Kubernetes-native CI/CD tools Proven track record delivering rigorously tested code, with strong unit and integration test coverage Proven ability to build secure, robust integrations between disparate tools, microservices, and databases Skills in Python, Go, or Java Familiarity with AI and agentic frameworks such as LangChain, AutoGen, LlamaIndex, or OpenAI/Enterprise LLM APIs Knowledge of CI/CD and GitOps tools, including ArgoCD, Tekton, Jenkins, Kubernetes, Helm, and YAML Understanding of observability tools such as OpenTelemetry, Prometheus, Grafana, or ELK Stack Competency in testing tools such as PyTest, Go Test, or JUnit English proficiency at B2 level or higher Nice to have Background in developing within highly secure, air-gapped, or Sovereign Cloud environments Experience troubleshooting live pipeline deployments and interacting directly with platform engineering teams

Requirements

• 5+ years of experience in backend engineering, with expertise in writing clean, modular, and asynchronous code

• Proficiency in AI-agent workflow development, including LLM APIs, prompt engineering, and AI-based parsing of raw configurations or code

• Hands-on experience configuring and extending Kubernetes-native CI/CD tools

• Proven track record delivering rigorously tested code, with strong unit and integration test coverage

• Proven ability to build secure, robust integrations between disparate tools, microservices, and databases

• Skills in Python, Go, or Java

• Familiarity with AI and agentic frameworks such as LangChain, AutoGen, LlamaIndex, or OpenAI/Enterprise LLM APIs

• Knowledge of CI/CD and GitOps tools, including ArgoCD, Tekton, Jenkins, Kubernetes, Helm, and YAML

• Understanding of observability tools such as OpenTelemetry, Prometheus, Grafana, or ELK Stack

• Competency in testing tools such as PyTest, Go Test, or JUnit

• English proficiency at B2 level or higher

Responsibilities

• Develop the core AI agent modules, including the Migration Agent for automatic artifact conversion and deployment metadata tagging

• Build the pre-deployment validation module to perform automated config checks and dependency resolution

• Design the deployment orchestration module to manage deployment sequencing logic

• Create the post-deployment verification module to serve as a copilot for human operators during validation and rollback

• Integrate developed AI agents with the confirmed SCS toolchain, such as Jenkins, Tekton, or ArgoCD

• Write robust audit logging code that captures agent decisions and reasoning, connecting it to the existing monitoring stack

• Maintain high code quality through unit, integration, and E2E testing, ensuring a minimum of 80% unit-test coverage

• Produce technical runbooks, onboarding manuals, and operational guides

• Support the knowledge transfer process to the operations team

Seniority

• Senior

Nice to have

• Background in developing within highly secure, air-gapped, or Sovereign Cloud environments

• Experience troubleshooting live pipeline deployments and interacting directly with platform engineering teams