Senior Associate - Senior DevOps Engineer

Location Designation: Hybrid - 3 days per week 

Our New York Life culture has laid the foundation for over 180 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities.  You will be part of an inclusive team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly. 

We are looking for a skilled DevOps Engineer to join our Artificial Intelligence and Data (AI&D) group, focusing on deploying and managing configurations for our integration platform using cloud-native infrastructure. The role involves managing and optimizing microservices hosted in the AWS ecosystem, leveraging AWS various services. The ideal candidate will have a strong background in DevOps practices, cloud infrastructure, and integration technologies, with a passion for automation using AI/ML frameworks, scalability, and reliability.

This role requires ability to consistently communicate across multiple channels (Teams, emails, meetings, conversations), proactively identifying blockers and escalating as needed, organizational skills to support the team in maximizing its performance and ensuring successful delivery of projects

• Deployment and Configuration Management:
  • Deploy and manage MuleSoft Runtime Fabric environments, ensuring they are optimized for performance, scalability, and security.
  • Automate the deployment and configuration of microservices in AWS using tools like Terraform, Ansible, and AWS CloudFormation.
  • Manage the configuration and deployment of various AWS various services to support integration and microservices architectures.
• Monitoring and Logging:
  • Set up and manage monitoring, logging, and alerting solutions using ELK Stack (Elasticsearch, Logstash, Kibana) or Sumo Logic or NewRelic and AWS CloudWatch.
  • Implement log aggregation and analysis using Logstash and integrate with other systems for real-time monitoring and incident response.
  • Monitor and manage Kafka clusters, ensuring high availability, fault tolerance, and performance optimization.
• CI/CD Pipeline Development:
  • Design, implement, and maintain CI/CD pipelines for MuleSoft and microservices deployments using tools like Jenkins, uDeploy and GitHub
  • Ensure smooth and automated deployments across development, testing, and production environments, minimizing downtime and manual intervention.
  • Integrate automated testing, security scanning, and compliance checks into the CI/CD pipeline.
  • Design, implement, and maintain infrastructure as code (IaC) pipelines that use Terraform.
• Data Streaming and Integration:
  • Configure and manage data streaming and integration using change data capture (CDC) and Kafka for real-time data processing.
  • Ensure seamless integration between on-premises systems, cloud environments, and third-party services.
• Security and Compliance:
  • Implement and manage security best practices for MuleSoft Runtime Fabric and AWS infrastructure, including IAM roles, security groups, encryption, and secrets management.
  • Ensure compliance with organizational policies and industry standards for data protection, auditing, and logging.
• Collaboration and Support:
  • Work closely with development, operations, and architecture teams to design and implement robust, scalable solutions.
  • Provide support for troubleshooting and resolving issues in runtime environments, including performance bottlenecks, ser