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Voya Financial Tech Stack

Retirement and employee benefits platform serving 18M+ customer relationships

Financial Services New York, NY 10,001+ employees Founded 2014 Public Company

Voya Financial is a public retirement and benefits company running a hybrid-cloud digital transformation anchored in Azure, Snowflake, and Databricks. The tech stack reveals a shift toward modern data and ML infrastructure (Databricks, PyTorch, Hugging Face, LangChain, OpenAI) while adopting containerization (OpenShift, Kubernetes, Istio) — a pattern that aligns with pain points around developer productivity and accelerating data science use cases. Hiring velocity is accelerating across finance, HR, and operations, with significant leadership roles open in portfolio management and IT, suggesting a large-scale platform modernization underway.

Tech Stack 86 technologies

Core StackSalesforce OpenAI Snowflake Databricks Python LangChain Hugging Face PyTorch Tableau Power BI Oracle Java AWS Terraform Ansible Dynatrace Workday Jenkins Zoom Kubernetes UiPath Azure Azure Cognitive Services Azure Machine Learning Oracle Analytics Cloud Packer SolarWinds Salesforce Marketing Cloud SOQL Azure AI Services+55 more
AdoptingOpenShift Kubernetes Istio Azure Red Hat OpenShift

What Voya Financial Is Building

Challenges

  • Improving developer productivity
  • High complexity risk
  • Reducing manual dependencies in disaster recovery
  • Billing accuracy compliance
  • Accelerating high‑impact data science use cases
  • Enhancing participant experience
  • Accurate claim payment processing
  • Meeting service level agreements
  • Complex client situations
  • Service recovery

Active Projects

  • Public and hybrid-cloud-driven digital transformations
  • Rolling forecast
  • Competitive intelligence and market benchmarking
  • Ci/cd devops pipelines solutions
  • Automation of dr workflows
  • Red hat openshift and azure red hat clusters/platforms
  • Enterprise dr testing
  • External client communications
  • Internal education efforts
  • Just‑in‑time internal communications

Hiring Activity

Accelerating150 roles · 120 in 30d

Department

Finance
39
HR
22
Ops
22
Engineering
21
Sales
21
Support
9
Data
6
Legal
3

Seniority

Senior
50
Mid
31
Manager
26
Lead
24
VP
13
Director
9
Junior
1

Notable leadership hires: Chief Counsel, Executive Support Lead, IT Director, Director EPMO Portfolio, Portfolio Lead

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About Voya Financial

Voya Financial (NYSE: VOYA) is a publicly traded retirement, employee benefits, and investment management company headquartered in New York. The company serves over 18 million customer relationships across individual, workplace, and institutional segments. Operating at a scale of 10,000+ employees, Voya's service footprint spans retirement planning, group and individual insurance products, and institutional asset management. The company is actively modernizing its infrastructure and development practices, with current projects focused on public and hybrid-cloud adoption, disaster recovery automation, and internal process optimization.

HeadquartersNew York, NY
Company Size10,001+ employees
Founded2014
Hiring MarketsUnited States, United Kingdom, Canada, Peru

Frequently Asked Questions

What is Voya Financial's tech stack?

Voya uses Salesforce, Azure (including Cognitive Services and Machine Learning), Snowflake, Databricks, Python, PyTorch, Tableau, Power BI, Oracle, AWS, Kubernetes, Jenkins, and Workday. The company is actively adopting OpenShift and Azure Red Hat OpenShift.

How many employees does Voya Financial have?

Voya Financial has more than 10,000 employees and serves over 18 million customer relationships across retirement, benefits, and investment segments.

How this profile is built

Voya Financial's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.