Top Engineering Jobs

Develop and test full-stack applications using C#, SQL, .NET Core, and Angular. Collaborate in an Agile scrum team, refine requirements, conduct code reviews, solve backend, frontend, database, and infrastructure problems, and design reusable components and frameworks. Support automation, CI/CD, DevOps, application architecture, planning, and AI-enabled productivity improvements.

Designs and develops cloud-based applications and platforms using Azure, Snowflake, Airflow, DevOps tools, and reusable software components. The role contributes to architecture, database optimization, ETL pipelines, APIs, front-end development, containerization, orchestration, Agile delivery, testing, UAT, troubleshooting, and system resiliency. It also establishes engineering standards, supports deployments, manages project risks, and mentors developers.

Designs and develops enterprise-scale Java and Spring Boot microservices, REST APIs, event-driven processors, and Camunda-integrated workflows. Manages CI/CD, testing, deployments, monitoring, incident resolution, performance tuning, and cloud integrations. Collaborates with architects, QA, DevOps, and business stakeholders while providing technical guidance and mentorship. Requires strong distributed systems, messaging, Agile, and enterprise automation experience, with opportunities to build AI-powered solutions.

Build, test, and support WalkMe digital adoption experiences, including Smart WalkThrus, Launchers, SmartTips, and ShoutOuts. Develop AI-powered workflow solutions, customize web experiences using HTML, CSS, JavaScript, and Web APIs, and analyze user engagement metrics. Collaborate with engineers, product owners, and business partners while participating in code reviews, debugging, testing, accessibility, security compliance, and continuous improvement.

Designs and maintains full-stack applications using Angular and Java REST APIs; builds CI/CD pipelines with GitHub Actions; deploys Dockerized microservices; develops AI-powered solutions using LLMs and RAG; implements automated testing; monitors applications; and collaborates in Agile teams.

Designs and develops software applications and components while supporting scalable, reliable production systems. Builds AWS cloud infrastructure with Terraform, develops GitHub Actions CI/CD pipelines, and deploys Dockerized applications. Uses Python and Shell scripting for automation, operational tooling, and testing. Responsibilities include code reviews, unit and integration testing, performance validation, agile collaboration, continuous improvement, and mentoring across distributed engineering teams.

Lead the design, development, architecture, integration, deployment, and support of scalable Pega applications. Responsibilities include case management, workflow automation, decisioning, REST and SOAP integrations, code reviews, production troubleshooting, agile delivery, stakeholder collaboration, mentoring, and continuous improvement.

Designs and manages Azure infrastructure, Kubernetes platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and secure, highly available systems supporting data engineering and data science teams. Builds self-service capabilities and AI-powered solutions, optimizes platform performance and costs, troubleshoots reliability issues, and mentors junior engineers while collaborating across teams.

Maintain, configure, and optimize CICS environments on IBM z/OS across multi-LPAR and Parallel Sysplex systems. Create and manage CICS regions, troubleshoot incidents, support z/OS Connect integration and automated deployments, monitor system health, perform performance tuning, capacity analysis, disaster recovery planning, and region decommissioning. The role also involves vendor coordination, AI-enabled workflow improvements, technical documentation, and scheduled 24x7 on-call support.

Owns technical architecture and AI-accelerated proposal engineering for State Medicaid RFP and RFI responses. Designs cloud, data, application, and integration architectures; translates requirements into feasible solutions; identifies risks; develops diagrams, integration patterns, cost inputs, and compliance-ready narratives. The role supports solution leads and business development teams, incorporates generative AI and RAG, participates in client technical discussions, and builds reusable architecture assets and accelerators.