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Leads technical design and development of software solutions within a 24/7 Site Reliability Engineering Center. Resolves complex production issues, provides technical guidance, reviews code and testing, prepares documentation, and participates in an on-call rotation. The role requires expertise in Java, Spring Boot, Kubernetes, observability tools, messaging systems, APIs, event-driven programming, and MongoDB and Oracle databases.

The Infrastructure Engineer Sr is responsible for mainframe security administration, software maintenance, network connectivity services, and executing reliable IT solutions within the enterprise technology sector.

As a Product Manager Senior, you will manage the product lifecycle, prioritize backlog, lead migrations, and ensure cross-functional collaboration while driving financial and customer results.

The Senior Solution Architect - Salesforce develops solution architecture, addresses complex project issues, oversees project outcomes, and liaises with clients to analyze requirements.

As a Lead Software Engineer, you will design, develop, and administer Genesys Cloud for contact center solutions, focusing on IVR design and API integrations.

Leads day-to-day operations, strategy, roadmap, security, upgrades, reliability, and cost optimization for enterprise Kubernetes container platforms across on-premises and cloud environments. Oversees performance metrics, scaling, CI/CD and infrastructure-as-code practices, incident response, root cause analysis, and platform adoption. Acts as a bridge between engineering teams and business stakeholders while managing cross-functional teams, technical strategy, customer experience, and operational excellence.

Own the product vision and backlog, prioritize work for Scrum teams, accept and validate delivered increments, and communicate business value to stakeholders. Partner with Scrum Masters, support investigation/workflow processes using case management tools (e.g., Actimize), and focus on customer needs and risk management.

Lead people-analytics projects: analyze large HR datasets using statistical methods and ML (SAS/Python/R), build models and visualizations, deliver insights to stakeholders, and partner with data engineers and architects to operationalize solutions.

The Senior Retirement Product Manager will oversee investment advisory solutions, manage product delivery, and lead business development for defined contribution plans.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.