Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to a multitude of exclusive technologist roles.

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About the client

Our client is a technology-driven organization focused on building intelligent cloud platforms and modern infrastructure solutions. They are committed to leveraging AI, automation, and cloud-native technologies to create scalable, secure, and resilient systems while fostering a collaborative engineering culture centered on innovation, technical excellence, and continuous improvement.

About the role

We are looking for a Senior AI Cloud Engineer to design, build, and optimize large-scale AWS and Azure cloud environments with a strong focus on automation and intelligent CloudOps. In this role, you'll develop cloud-native applications, implement AI-powered solutions, and drive infrastructure automation using modern DevSecOps practices. You'll work across cloud engineering, AI orchestration, and platform operations while mentoring teams and contributing to enterprise-scale cloud initiatives.

Responsibilities

- Design, develop,



and maintain cloud-native services and internal platforms using Python (FastAPI, Django, Flask).
- Build secure, scalable REST and event-driven APIs on AWS and Azure.
- Build and orchestrate AI agents and Generative AI/LLM solutions, including Retrieval-Augmented Generation (RAG), embeddings, vector search, MCP tool-calling, guardrails, evaluations, and cost/token controls.
- Drive intelligent CloudOps and AIOps initiatives, including anomaly detection, predictive scaling, self-healing automation, and incident, problem, and change management.
- Own the infrastructure lifecycle end-to-end using Terraform with modular Infrastructure as Code and policy-as-code practices.
- Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or GitLab.
- Embed DevSecOps best practices across cloud infrastructure and delivery pipelines.
- Govern and optimize enterprise-scale AWS and Azure cloud environments.
- Provide deep technical ownership and mentor engineering teams.

Must have skills

- 6+ years of experience in Infrastructure Engineering or cloud development roles.
- Hands-on experience delivering AI/ML or Generative AI-enabled systems in production.
- Advanced Python skills for production-grade cloud-native applications.
- Experience with FastAPI, Django, or Flask.
- Strong API design and testing practices.
- Enterprise-scale experience with Microsoft Azure.
- Enterprise-scale experience with Amazon Web Services (AWS).
- Experience with serverless, PaaS, and container-based cloud services.
- Experience building agentic AI or multi-agent workflows (LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent).
- Experience with LLM orchestration platforms such as Azure OpenAI or Amazon Bedrock.




- Experience with Retrieval-Augmented Generation (RAG).
- Experience with embeddings and vector search.
- Expert-level Terraform.
- Knowledge of CloudFormation, ARM/Bicep, or Ansible.
- Strong observability experience with tools such as OpenTelemetry, Prometheus, Grafana, CloudWatch, Datadog, or ELK/OpenSearch.
- Experience using AI coding assistants such as GitHub Copilot and reviewing AI-generated code.
- Working knowledge of Agile/Scrum methodologies.
- Experience collaborating with cross-functional teams.
- Bachelor's degree in Computer Science or a related field.
- Strong analytical and problem-solving skills.
- Ownership mentality.
- Excellent communication and cross-functional collaboration skills.
- Automation-driven engineering mindset.
- English proficiency.

Nice to have skills

- AWS certification.
- Azure certification.
- Terraform Associate certification.
- AI/ML certification.
- AI Agent Orchestration.
- Kubernetes.
- LangChain.

Conditions

- Remote role . Primary working timezone: UTC-5 , with at least 5 hours of required overlap .
- Contractor role – 6-month contract, renewable .
- Full-time dedication (40 hours/week) .
- BYOD required .

At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work workplace where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws.

📌 AI Cloud Engineer (India)
🏢 Andela
📍 India