New York Life Insurance Company Logo

New York Life Insurance Company

Corporate Vice President - Open DEX Software Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
New York, NY, USA
169K-211K Annually
Entry level
Hybrid
New York, NY, USA
169K-211K Annually
Entry level
Develop and operate the Open DEX platform, enterprise API integrations, internal tools, automated workflows, and AI-assisted applications. Build secure, containerized cloud services and infrastructure using Python, Kubernetes, AWS, CI/CD, and infrastructure-as-code technologies. Diagnose production incidents, improve performance, establish reusable engineering standards, and collaborate with security, identity, infrastructure, and engineering teams.
The summary above was generated by AI
Location Designation: Hybrid - 3 days per quarter
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Business Unit
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
This role supports the development and ongoing operation of the Open DEX platform, including building and maintaining internal tooling, enterprise API integrations, and AI-assisted automation across the firm's cloud, endpoint management, and service-management environment.
The role owns delivery end-to-end, from design and implementation through testing, debugging, performance tuning, and production incident support. The engineer will also establish reusable patterns, standards, and tooling that can be adopted by other engineering teams across the organization.
What You'll Do
  • Develop and operate the Open DEX platform: Design, build, test, debug, optimize, and support production applications, services, and internal tools using Python, Bash, PowerShell, APIs, container technologies, cloud services, and modern software engineering practices. Diagnose live production incidents across application, database, network, and platform layers and implement durable solutions that address root causes.
  • Build enterprise integrations and automation: Develop, maintain, and troubleshoot REST API integrations across Microsoft 365, Azure AD / Entra ID, Microsoft Intune, Active Directory, ServiceNow, PagerDuty, Rundeck, and other business applications. Build automated operational and incident workflows while addressing authentication, authorization, token handling, pagination, retries, error handling, rate limiting, credential synchronization, network restrictions, and identity or role configuration issues.
  • Advance AI-assisted engineering: Use modern AI-assisted development tools and LLMs to accelerate development, debugging, documentation, code review, and automation. Build agentic AI applications and LLM tooling, including tool interfaces and integrations using Model Context Protocol (MCP) or comparable frameworks, while applying appropriate controls for prompt injection, destructive operations, credential access, least privilege, and per-user audit logging.
  • Build secure, scalable engineering foundations: Deliver containerized applications using Docker, Kubernetes, and Helm and develop CI/CD and infrastructure-as-code capabilities using technologies such as GitHub Actions, Terraform, Ansible, GitOps, and Argo CD. Support AWS services including EKS, IAM/IRSA, VPC, S3, Secrets Manager, RDS PostgreSQL, Route 53, and KMS, along with observability and production support through Datadog, Grafana, CloudTrail, and PagerDuty. Support artifact and package management in restricted-egress environments using JFrog Artifactory or equivalent technologies.
  • Own technical direction and reusable standards: Operate as the sole or primary engineer on workstreams as needed, setting technical direction and making implementation decisions independently. Partner across engineering, security, identity, and infrastructure teams to establish reusable components, development patterns, and standards that reduce duplicated effort. Identify and drive opportunities beyond assigned scope, including solutions addressing compliance or operational risk, and communicate technical concepts, operational impact, and business value to stakeholders.

What You'll Bring
Required Skills
  • Strong proficiency in Python with production experience designing, building, testing, debugging, performance-tuning, and supporting applications and services in a live enterprise environment; proficiency with Bash and PowerShell for cross-platform automation.
  • Strong understanding of HTTP/HTTPS, REST APIs, JSON, modern service architecture, Git version control, and authentication and authorization technologies including API keys, OAuth 2.0, OIDC, JWT, SAML, service principals, and workload identity federation. Experience securely managing credentials through enterprise secret stores such as AWS Secrets Manager, External Secrets Operator, KMS, or equivalent using least-privilege and auditable access.
  • Experience building and troubleshooting enterprise API integrations and automated workflows across platforms such as Microsoft 365, Azure AD / Entra ID, Microsoft Intune, Active Directory, ServiceNow, PagerDuty, and Rundeck, including diagnosing issues across network, identity, and application layers.
  • Experience delivering containerized applications using Docker, Kubernetes, and Helm; developing CI/CD pipelines and infrastructure as code using GitHub Actions, Terraform, Ansible, GitOps, or Argo CD; and working with AWS services including EKS, IAM/IRSA, VPC, S3, Secrets Manager, RDS PostgreSQL, Route 53, and KMS.
  • Proficiency with modern AI-assisted development tools and LLMs, including prompt engineering and AI-powered engineering workflows. Experience building agentic AI applications and production LLM tooling using MCP or comparable frameworks, with an understanding of security considerations for AI systems with write access.
  • Strong analytical, problem-solving, communication, and collaboration skills, with the ability to independently own technical workstreams, diagnose production incidents to root cause, establish reusable engineering standards and tooling, collaborate across engineering, security, identity, and infrastructure teams, and translate technical work into business and operational value.

Preferred Skills
  • Experience with enterprise IT management and automation platforms, including endpoint management at scale using Microsoft Intune Automated Device Enrollment, Autopilot, or JamF, as well as identity lifecycle automation and Microsoft 365 integrations.
  • Experience building scalable, secure, and maintainable enterprise applications, custom integrations, internal tools, or automation solutions leveraging enterprise APIs.
  • Experience supporting regulatory and compliance requirements in a financial services environment, including SEC and GDPR requirements, through automation and controls.
  • Experience with workflow orchestration platforms such as Kestra, Dagster, or Argo Workflows and with multi-cluster Kubernetes platform operations.

Job Level: LEVELPF5
Pay Transparency
Salary Range: $168,801 - $210,800
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.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
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 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.
Job Requisition ID: 94808
#BI-Hybrid
HQ

New York Life Insurance Company New York, New York, USA Office

51 Madison Avenue, New York, NY, United States, 10010

New York Life Insurance Company Jersey City, New Jersey, USA Office

New York Life Insurance Company Jersey City, NJ Office

30 Hudson Street , Jersey City, New Jersey, United States, 07302

Similar Jobs at New York Life Insurance Company

Yesterday
Hybrid
New York, NY, USA
75K-107K Annually
Mid level
75K-107K Annually
Mid level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Support commercial real estate loan closings by coordinating loan commitments, due diligence, title and survey requirements, fee reconciliation, fund disbursements, entity formation, and closing document execution. Maintain transaction data, secure internal approvals, coordinate with underwriting, legal, accounting, and asset management, and assist with special projects to ensure smooth post-closing handoffs.
Top Skills: ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordReal Estate Transaction Management Platform
148K-211K Annually
Expert/Leader
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads enterprise authentication engineering strategy, architecture, delivery, reliability, and user experience across workforce, applications, APIs, cloud, hybrid environments, non-human identities, and AI agents. Oversees federation, SSO, MFA, passkeys, authorization, PKI, workload identity, and continuous authentication. Directly manages authentication engineers, including hiring, staffing, performance management, technical guidance, and career development. Represents Cybersecurity in governance forums and drives secure, scalable authentication modernization.
Top Skills: AbacApi GatewaysAWSAzureCaepCedarFido2GCPHyprId-JagMcpMtlsOauth 2.0OpaOpenid ConnectPasskeysPingaccessPingfederatePingonePkiSaml 2.0Shared Signals FrameworkSpiffeSpireTransaction TokensWindows Hello For Business
58K-70K Annually
Entry level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Administers an assigned portfolio of stable and mature long-term disability claims. Reviews medical documentation, conducts annual certifications, determines continued eligibility, maintains claim records, processes benefit continuation and closures, and responds to claimants and business partners. Provides phone support, assists with HIP and Rabies claims, supports quality and compliance activities, and provides backup administrative coverage for new claims and document scanning.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account