Top Engineering Jobs

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.

Manages mobile software development teams, application support functions, and multiple application programming projects. Oversees application development, installation, maintenance, testing, quality compliance, release processes, and alignment with business requirements. Develops staff capabilities, promotes teamwork, manages risk, drives process improvements, and ensures software solutions meet customer and organizational needs.

Lead end-to-end automation and document AI initiatives, architecting solutions, mentoring teams, ensuring compliance, and integrating emerging tools.

Design, build, and maintain high-transaction distributed RESTful APIs and Java-based microservices. Lead technical efforts, apply OOP/OA&D, use Spring Boot/JPA/batch, work with Oracle/SQL/Redis/Hibernate, and employ Kafka/MQ, Kubernetes/OpenShift, CI/CD, testing, and monitoring tools. Support occasional after-hours releases/incidents and work within Agile teams.

Lead software architecture and solution design for lending technology initiatives. Define requirements, scope, integrations, workflows, data flows, and architecture standards. Prepare designs and documentation for governance reviews, evaluate API, file-based, event-driven, and streaming integrations, and collaborate with product, engineering, security, and enterprise architecture teams. Support cloud modernization, data architecture, vendor evaluations, risk assessments, and architecture decision-making.

Leads data warehouse quality engineering by developing test strategies, plans, cases, and summary reports. Reviews data quality, ETL loads, transformations, extractions, and migrations across enterprise data warehouse systems. Manages testing risks, defects, environments, and resources while collaborating with technology, governance, risk, and business stakeholders. Provides guidance to junior engineers and supports continuous improvement. The role requires expertise in Hadoop, SQL/HQL, PySpark, AWS, data warehouse testing, automation, and quality assurance processes.

Leads design, development, and operational ownership of a hybrid vendor product and enterprise AI/ML platform. Responsibilities include CI/CD, Infrastructure as Code, environment automation, release management, monitoring, observability, backup and recovery, capacity planning, production support, security, and reliability. The role provides technical leadership, establishes engineering standards, mentors colleagues, improves processes, and supports reusable, governed enterprise feature capabilities.

Leads multiple Agile development crews delivering enterprise Pega solutions. Oversees delivery execution, platform governance, engineering quality, staffing, risk and regulatory compliance, application development, support, and continuous improvement. Coaches engineers and technical leads, manages performance, coordinates dependencies, and partners with product, architecture, risk, and operations stakeholders. Drives standardized SDLC, Agile, DevOps, testing, release management, and software engineering practices across teams.

Designs and implements cloud networking solutions across AWS and/or Azure, including routing, switching, BGP, DNS, MACSec, firewalls, VPNs, and hub-and-spoke topologies. Uses Python, PowerShell, Terraform, and GitHub to support infrastructure automation and operations. Partners with vendors and engineering teams to improve network performance, reduce costs, manage risks, and deliver strategic initiatives. The role requires troubleshooting, data analysis, strong communication, and flexibility to perform changes during non-business hours.

Leads production application reliability and support, including monitoring, incident ownership, troubleshooting, maintenance, automation, disaster recovery, governance, and operational readiness. Supports applications using OpenShift, Oracle, Java, MongoDB, SQL, Dynatrace, ServiceNow, and Ansible. Participates in rotating 24/7 on-call coverage, coordinates with technology and business teams, and mentors junior staff while improving system stability, resiliency, and compliance.