BlueFlag LLP

AI Engineer

• Architect, build, and maintain production-grade software (services, APIs, and web applications) with strong engineering discipline: code quality, testing, observability, and operational readiness.
• Lead design reviews, establish engineering standards, and mentor engineers across multiple projects—especially software-heavy initiatives.
• Build integration layers and service patterns that connect applications to data platforms, identity systems, and enterprise tooling.
• Drive modern SDLC practices: trunk-based development or equivalent, strong code review culture, automated testing, and predictable release workflows.
• Design and operate Kubernetes-based application platforms, including deployment standards, networking/ingress, upgrades, reliability, and day-2 operations.
• Implement and mature CI/CD pipelines and release automation for both applications and infrastructure (including GitOps patterns where appropriate).
• Build and maintain infrastructure-as-code (e.g., Terraform) and automated environment provisioning in Azure or AWS.
• Lead engineers in deploying and maintaining enterprise platform tools such as Starburst, Immuta, Collibra, Databricks, Synapse, and related services.
• Develop plans for cloud migrations and deployments and execute modernization strategies for application and data workloads.
• Build and maintain data pipelines and supporting services that enable analytics, ML, and AI-enabled applications.
• Partner with stakeholders to shape practical approaches to AI agents, AI infrastructure, and AI application enablement (e.g., orchestration patterns, retrieval/knowledge integration, evaluation and monitoring) in a secure environment.

Principal Software Engineer – Cloud and AI Platforms

Cloud Engineer

• - Design, deploy, and manage cloud infrastructure across multiple providers, with a primary focus on Azure technologies.
• - Deliver data-lake-based integration and analysis services in support of business intelligence, data science, and machine learning efforts.
• - Spearhead the implementation of infrastructure-as-code solutions using Terraform, pushing the boundaries of automation and efficiency
• - Optimize cloud infrastructure for performance, scalability, and cost-efficiency
• - Monitor and troubleshoot cloud infrastructure issues
• - Implement robust security measures to safeguard cloud-based applications and data
• - Collaborate with cross-functional teams to ensure seamless deployment and operation of cloud applications
• - Lead architecture discussions with clients and team members, articulating complex solutions with clarity and confidence
• - Contribute to business development activities by crafting innovative cloud engineering solutions for proposals
• - Stay up to date with the latest cloud technologies and best practices

Principal Software Engineer – Cloud and AI Platforms

Senior Cloud Engineer