Principal Software/Platform Engineer

Job highlights

• Implement cloud-native solutions using Microsoft Azure,including deployment,configuration,and monitoring. . Work with containerization platforms such as Docker and orchestration frameworks (Kubernetes preferred). . Write well-structured SQL queries and optimize database performance across relational systems.
• Required Qualifications Experience

Job Summary

The MetLife EMEA Technology organization is evolving to enable MetLife's New Frontier strategy. With a strong vision in place, we are a function focused on driving digital technology strategies for key technology functions within MetLife including. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate.

We are seeking a highly skilled Principal Software/Platform Engineer a senior technical lead position (Embedded Insurance) with hands-on in API designing, architecture and development, Microservices, and Azure Cloud Services aligned to insurance capability domains. This team will work in close integration with onshore, offshore, Digital Hub and strategic vendor partners in an Agile delivery model. The associate will work closely with data architects, analysts, and business stakeholders to deliver end-to-end solutions.

Job Type: Full-Time

Location: Pune

Work Arrangement: Hybrid

Key Relationships

• Technology Leadership (EMEA)
• India EMEA Technology Leads
• Internal Stakeholder - EMEA ART Leaders
• Agile Release Train (ART) Teams
• Business process Owners for EMEA Technology

Key Responsibilities

• Strong experience on technical solution architecture and enterprise architecture
• Deliver fit for purpose, secure, scalable, solution architectures in an agile framework that evolves with the line of business by collaborating with AD, business, and engineering teams.
• Ensuring the system uptime and availability for Embedded Insurance technology solutions
• Design, develop, and maintain Microservices and REST APIs.
• Build scalable, secure, and high-performance backend services.
• Implement cloud-native solutions using Microsoft Azure, including deployment, configuration, and monitoring.
• Work with containerization platforms such as Docker and orchestration frameworks (Kubernetes preferred).
• Write well-structured SQL queries and optimize database performance across relational systems.
• Ensure adherence to RESTful architecture principles and API best practices.
• Collaborate with cross-functional teams (Product Owners, QA, DevOps, UI/UX) in an Agile environment.
• Participate in code reviews, contribute to architecture discussions, and support continuous improvement.
• Maintain comprehensive technical documentation.

Required Qualifications Experience

• Minimum Bachelor's degree in Computer Science, Engineering, or equivalent.
• Extensive hands-on experience in designing, developing, delivering, and architecting enterprise solutions.
• Experience on Agentic AI / AI-First SDLC Development in GitHub Enterprise, GitHub CoPilot, Spec Driven Development
• Strong hands-on experience in any language/framework below:
  • Java SpringBoot, Microservices (preferred)
  • .Net
  • Node
• Proven experience in building highly secure REST APIs and integration with different platforms
• Experience with message brokers (Kafka, Azure Service Bus).
• Knowledge of microservices architecture and distributed systems.
• Understanding API security standards (OAuth2, JWT, OpenID Connect).
• Knowledge of automated testing frameworks
• Solid understanding of:
  • Application design and architecture
  • System integration and data flows
• Strong experience with Azure cloud services (App Services, Azure SQL, API Management, Key Vault, etc.).
• Hands-on experience with containerization technologies (Docker; Kubernetes is a plus).
• Knowledge on Data Pipeline development, Azure Synapse, Azure Data Factory, and Databricks
• Ability to integrate data from multiple sources (structured, semi-structured, unstructured) into Azure data services.
• Experience architecting enterprise solutions around SaaS and PaaS technologies and services.
• Solid understanding of SQL, database schema design, optimization, and performance tuning.
• Working knowledge of CI/CD pipelines, ideally using Azure DevOps or similar tooling.
• Familiarity with Agile methodologies (Scrum/Kanban).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.