Senior Associate - Cloud Engineer

New York Life•New York, NY

3d•$111,500 - $159,000•Hybrid

About The Position

As part of New York Life’s Technology, Data, AI and Ventures organization, the Senior Associate - Cloud Engineer helps shape the company’s cloud platform strategy by designing, building, and operating secure, scalable, highly automated AWS cloud platforms. The platforms enable enterprise application development and digital innovation. This individual contributor role applies cloud and platform engineering, Site Reliability Engineering (SRE), infrastructure automation, and DevOps practices to deliver resilient cloud services that improve developer productivity and operational excellence. The role works with Cloud Engineering, Architecture, Security, Application Development, Product, and Operations teams to develop reusable infrastructure, automate cloud operations, strengthen platform reliability, and integrate security and compliance into cloud-native services. The focus is on building cloud platforms that are secure, observable, resilient, and engineered for scale. The position is hybrid, with a stated schedule of 3 days per quarter. The salary range is $111,500–$159,000. The role is exempt from overtime, eligible for an annual discretionary bonus, and may also be eligible to participate in an incentive program.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent practical experience.
At least 5 years of experience designing, building, and supporting AWS cloud infrastructure and platform services.
Strong experience with AWS, Terraform, Terraform Cloud, Infrastructure as Code, cloud infrastructure automation, and Git-based DevOps and CI/CD practices.
Proficiency in one or more programming languages such as Python, Go, Java, or similar technologies, with experience developing automation, APIs, platform tooling, and reusable infrastructure solutions.
Experience designing, implementing, and supporting cloud-native platforms, with knowledge of Kubernetes, container orchestration, networking, cloud security, infrastructure reliability, software engineering principles, and production operations.
Strong understanding of SRE, monitoring, observability, incident management, root cause analysis, disaster recovery, and operational excellence, with the ability to troubleshoot complex cloud infrastructure issues.
Strong analytical, communication, and collaboration skills, including the ability to partner across cloud engineering, application development, architecture, infrastructure, operations, and cybersecurity teams.
Ability and interest to continuously learn new technologies and cloud services.

Nice To Haves

Experience with AWS services including Lambda, S3, EventBridge, IAM, CloudWatch, EC2, VPC, Amazon EKS, and other cloud-native platform capabilities.
Experience developing reusable Terraform modules, cloud platform frameworks, policy-as-code, compliance automation, and infrastructure governance solutions.
Experience with Docker, Kubernetes, and observability platforms such as Datadog, Grafana, Prometheus, Splunk, or CloudWatch.
Experience with modern CI/CD platforms including GitHub, Jenkins, Harness, or Azure DevOps.
AWS certifications such as AWS Certified Solutions Architect, AWS SysOps Administrator, or AWS Certified Developer.
Experience supporting highly available, resilient, cloud-native architectures.

Responsibilities

Design, build, automate, and continuously improve secure, scalable, highly available AWS cloud platforms using Terraform, cloud-native services, and automation for consistent, repeatable infrastructure provisioning.
Develop reusable platform capabilities, automation, and engineering tools using Python, Go, APIs, and CI/CD pipelines to streamline cloud operations, reduce manual effort, and enable standardized self-service infrastructure consumption.
Apply SRE practices to improve platform availability, scalability, observability, and operational resilience through monitoring, alerting, logging, SLIs, SLOs, automated remediation, and incident response processes.
Design, implement, and operate Kubernetes and Amazon EKS environments.
Partner with Security and Architecture teams to embed cloud security controls, policy-as-code, compliance validation, IAM, and governance into cloud platform services and infrastructure delivery pipelines.
Collaborate across Cloud Engineering, Architecture, Security, Product, and Application Development teams to troubleshoot complex infrastructure issues, support production environments, evaluate emerging technologies, and improve platform capabilities through automation, technical standards, and engineering best practices.