Job Information
New York Life Insurance Company Senior Associate, Sr DevOps Engineer in New York, New York
Location Designation: [[cust_rolelocationdesignation]]
As part of AI&D, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.
Role Overview :
We are looking for a skilled Sr . 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
What You’ll Do :
Infrastructure Provisioning and Management
Provision and manage AWS resources such as EC2, EKS, Redshift, RDS, DMS, SFTP, Lambda, Glue, and Step Functions and much more
Ensure consistent and scalable infrastructure setup using tools like Terraform for infrastructure as code (IaC) management
CI/CD Pipeline Development and Implementation
Develop, implement, and maintain comprehensive CI/CD pipelines for Data Lake and Data Warehouse deployments, leveraging tools such as Jenkins, Harness, Ansible, and GitHub to ensure seamless integration and automation.
Design and deploy CI/CD pipelines for database scripts (DDL, DML) using Liquibase. Establish Liquibase instances and enforce quality checks through rigorous policy implementation.
Utilize bash and Python scripting to automate a variety of tasks, enhancing efficiency and reducing manual intervention.
Manage build artifacts and versioning of builds using repositories like JFrog or Nexus, ensuring organized and traceable build histories.
Integrate automated testing, security scanning (CheckMarx), and compliance checks into the CI/CD pipeline to ensure robust security, quality, and regulatory adherence throughout the development lifecycle.
Data Streaming and Integration:
Configure and manage data streaming and integration using change data capture (CDC) and AWS Manage Streaming(Msk) for real-time data processing.
Ensure seamless integration between on-premises systems, cloud environments, and third-party services.
Monitoring and Observability
Set up and manage monitoring and alerting solutions NewRelic and AWS CloudWatch.
Route all system logs to Sumo Logic for centralized logging.
Ensure observability into deployment processes.
Monitor and manage EKS clusters, ensuring high availability, fault tolerance, and performance optimization.
Deployment and Configuration Management:
Ensure smooth and automated deployments across development, testing, and production environments, minimizing downtime and manual intervention.
Deploy and manage Data & Analytics environments, ensuring they are optimized for performance, scalability, and security.
Automate the deployment and configuration of services in AWS using tools like Jenkins, Harness, Terraform, Ansible, and AWS CloudFormation.
Manage the configuration and deployment of various AWS various services to support integration and microservices architectures.
Cost Optimization
- Cloud Cost Management: Set up CloudWatch alarms and alerts to optimize cloud costs.
Security and Compliance:
Implement and manage security best practices for AWS infrastructure, including IAM roles, security groups, encryption, system manager 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, service outages, and configuration errors.
Document processes, configurations, and workflows to ensure knowledge sharing and operational efficiency.
Identify opportunities for integrating AI/ML models in automation of IaC and Application build/deploy pipelines
What You’ll Bring :
Experience:
7+ years of experience in DevOps engineering, with a focus on cloud infrastructure, automation, and configuration management.
Extensive experience with various AWS services and related tools.
Strong background in deploying and managing microservices architectures in AWS using Kubernetes (EKS) and Docker.
Experience with CI/CD tools and practices, including pipeline development, automated testing, and infrastructure as code (IaC).
Eight or more years of experience in enterprise-level delivery of Data Engineering solutions.
Technical Skills:
Proficiency in scripting and automation languages such as Python, Bash, or PowerShell.
Strong knowledge of infrastructure as code (IaC) tools like Terraform, CloudFormation, or Ansible.
Experience with logging and monitoring tools likeNewrelic, Sumologic and AWS CloudWatch.
Familiarity with data streaming tools like Kafka and change data capture for real-time data integration.
Understanding of security best practices in cloud environments, including IAM, VPC, and encryption techniques.
Soft Skills:
Strong problem-solving skills and the ability to troubleshoot complex issues in distributed environments.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Ability to work independently, prioritize tasks, and manage time effectively in a fast-paced environment
Bachelor’s degree in Computer Science, Information Technology, or a related field. A master’s degree is a plus.
Certifications (Preferred but not required):
AWS Certified DevOps Engineer or equivalent
Certified Kubernetes Application Developer (CKAD)
Pay Transparency
Salary Range: [[cust_salaryRangePosting]]
Overtime eligible: [[customString6]]
Discretionary bonus eligible: [[cust_merit]]
Sales bonus eligible: [[stockPackage]]
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit ourNYL Benefits Site (https://nylbenefits.com/) .
Our Diversity Promise
We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture.Click here (https://www.newyorklife.com/newsroom/diversity-and-inclusion-awards) to learn more about how we have been recognized for our leadership.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation (http://www.newyorklife.com/foundation) . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .
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