Top Engineering Jobs

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

Manage and support production systems to ensure stability and compliance. Perform vulnerability and incident management, install patches and upgrades, renew certificates, configure servers, and monitor performance with Dynatrace/Logscale. Participate in on-call rotation, complete projects to deadlines, perform root cause analysis, report trends, and lead application governance and audit responses while mentoring junior staff.

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.

Leads full-stack application development for credit card customer journeys, with a backend focus on Java, Spring, microservices, and scalable APIs. Designs, builds, tests, deploys, and supports production applications while conducting code reviews and mentoring junior engineers. Collaborates with product managers and stakeholders in an Agile environment to translate requirements into technical solutions and improve engineering practices, application performance, and customer experiences.

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, develops, tests, deploys, documents, maintains, and debugs software solutions using existing and emerging technology platforms. Proposes technical solutions for complex business needs and contributes to application architecture, integration, testing, troubleshooting, release management, and process improvement. The role requires collaboration, customer focus, risk management, and strong technical documentation skills.

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.