Source description
About the role
Must Have Skills 3+ years of software engineering experience in enterprise-scale applications. Hands-on experience with Google Kubernetes Engine (GKE) and Kubernetes ecosystem. Strong programming experience in Python or Java. Strong experience working with NoSQL database (Preferably Couchbase). Hands-on experience with Google Cloud Platform (GCP) like BigQuery, Composer, GCS, DataProc, BigTable, PubSub etc Experience with Big Data technologies such as Apache Spark and streaming technologies such as Kafka. Experience using GitHub and GitHub Actions for source control and CI/CD workflows. Hands-on experience with Agentic AI tools such as GitHub Copilot. Exposure to:
AI-assisted software development AI Agents and Skills Development MCP Server Integration Prompt Engineering
Experience with logging, monitoring, and observability tools such as ELK stack. Strong understanding of distributed systems, APIs, microservices, and event-driven architectures. Strong problem-solving, debugging, and analytical skills. Excellent communication and collaboration skills.
Good to Have Skills Knowledge of Vert.x framework. Experience in Customer Data Platforms. Domain experience in Financial Services industry. Experience with real-time customer analytics and personalization platforms. Exposure to data governance, data quality, and metadata management. Exposure to GenAI application development and AI platform integration.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Experience working in Agile/Scrum development environments. Ability to work in a fast-paced, collaborative engineering culture. Passion for innovation, automation, and modern engineering practices.
More at American Express