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Principal Software Engineer (Cloud and AI Platforms)

1 month ago
United States
Full-time
Lead
Software Engineer
Software Development
AWS Azure C# CI/CD Databricks GitOps Go Java Kubernetes Machine Learning MLOps .NET Python Terraform
Apply Now
BlueFlag

BlueFlag

BlueFlag LLP offers premier talent and technology services with a focus on professionalism, experience, and collaboration. Transforming visionary concepts into successful developments, we prioritize creating a supportive culture for our team and clients.

Professional Services
1-10
View All Jobs 3

Description

  • Architect, build, and maintain production-grade software including services, APIs, and web applications.
  • Lead design reviews, establish engineering standards, and mentor engineers across multiple projects.
  • Build integration layers and service patterns that connect applications to data platforms, identity systems, and enterprise tooling.
  • Drive modern SDLC practices, including trunk-based development or equivalent, code review discipline, automated testing, and predictable releases.
  • Design and operate Kubernetes-based application platforms, including deployment standards, networking, upgrades, reliability, and day-2 operations.
  • Implement and mature CI/CD pipelines and release automation for applications and infrastructure, including GitOps patterns where appropriate.
  • Build and maintain infrastructure-as-code and automated environment provisioning in Azure or AWS.
  • Lead deployment and maintenance of enterprise platform tools such as Starburst, Immuta, Collibra, Databricks, and Synapse.
  • Develop cloud migration and modernization plans 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 define secure AI-enabled application approaches, including orchestration, retrieval/knowledge integration, evaluation, and monitoring.

Requirements

  • Principal-level experience building and leading delivery of production software, including backend services and/or full stack applications.
  • Demonstrated ability to lead engineering across multiple efforts through mentorship, design leadership, code reviews, and technical standards.
  • Strong proficiency in at least one enterprise backend language such as C#/.NET, Java, Python, Go, or similar.
  • Strong understanding of API design, distributed systems fundamentals, performance, and operational reliability.
  • Strong Kubernetes experience operating production workloads.
  • Hands-on experience with Azure or AWS, including networking, identity, security, and operations.
  • Experience with CI/CD, automation, and infrastructure-as-code such as Terraform.
  • Experience with observability, incident response, and root-cause remediation.
  • Demonstrated interest in AI agents, AI infrastructure, or AI-enabled applications through professional work, personal projects, research, or equivalent.
  • Must be a U.S. citizen and eligible to obtain a public trust clearance.
  • Must be eligible to work in the United States.
  • Experience with enterprise data/platform tools such as Databricks, Synapse, Starburst, Immuta, or Collibra, preferred.
  • Experience building secure integration patterns across identity, entitlements, and data governance, preferred.
  • Experience with lakehouse patterns and data formats such as Delta Lake and Parquet, preferred.
  • Experience enabling AI systems in production, including retrieval patterns, vector search, orchestration frameworks, evaluation/monitoring, or model serving, preferred.
  • Experience supporting MLOps pipelines, preferred.

Benefits

  • Competitive salary.
  • Generous annual leave and paid holidays.
  • Comprehensive group health and dental plans.
  • 401(k) with company match.
  • Life insurance and AD&D coverage.
  • Ongoing training and professional development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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