Senior Associate - DevOps/MLOps Platform Engineer

Location Designation: Hybrid - 3 days per week 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

As part of Technology, 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.

New York Life’s AI and Data team delivers innovative data, insights, and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.

You will contribute to the building and maintenance of a platform used to enable the development and deployment of AI & Data solutions. You will help to build and maintain an industry leading MLOps tech stack.

What You'll Do:

• Contribute to the design, build, and support of a modern MLOps platform used across AI & Data teams.
• Design, implement, and operate secure, scalable DevOps and MLOps CI/CD workflows for data/ML applications and services.
• Develop and maintain on prem and AWS based data/ML infrastructure, including containerized training/inference and workflow orchestration (e.g., Airflow).
• Partner with Technology (IT), SRE, and Security to integrate networking, identity, secrets management, and observability; ensure compliance and governance.
• Serve as a platform subject matter expert—contribute to solution design, codify best practices, and produce clear documentation/runbooks.
• Work independently and collaboratively as a part of a team.
• Support Scrum ceremonies by contributing to story creation and sprint goals.
• Effectively articulate information and ideas to a diverse group of people.
• Stay up to date with the latest MLOps trends/emerging technologies and look for opportunities to improve the stack.

What You'll Bring:

Required Qualifications:

• 6+ years of industry experience in software engineering, data engineering, DevOps, MLOps or a related field.
• Expert-level experience with cloud compute environments (AWS) along with cloud-native tools; proficiency in Terraform a must.
• Experience with containers (Docker), container orchestration (Kubernetes) and process orchestration/DAGs (e.g., Airflow).
• Strong experience with AWS (e.g., EKS, EC2, S3, IAM, CloudWatch) and cloud native tooling; familiarity with SageMaker or equivalent a plus.
• Solid understanding of CI/CD and DevSecOps best practices; experience with Git branching strategies, PR/code review, and artifact/security scanning (e.g., Jenkins, GitHub Actions, or GitLab CI).
• Good command of SQL and with familiarity with an RDBMS
• Experience supporting both batch and real time inference (REST/gRPC, streaming).
• Proficiency in Python and Bash; working knowledge of Terraform and Helm for IaC.
• Have an agile mindset.
• Strong written and verbal communication; ability to work independently with minimal supervision while collaborating effectively in a team.
• Bachelor’s degree in computer science, Engineering, or a related field—or equivalent practical experience.

Preferred:

• Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc)
• Experience with big data/lakehouse platforms (e.g., Redshift, Snowflake, Databricks, Hadoop/Spark, EMR).
• Experience in insurance or financial services and familiarity with model validation and governance in regulated environments.

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Pay Transparency

Salary Range: $121,000-$172,500 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

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 here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

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. 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 the Careers page of www.NewYorkLife.com.

​Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.

Job Requisition ID: 92678