Top Engineering Jobs

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.

Designs and develops Java and Node.js applications and microservices, optimizes databases and queries, maintains CI/CD pipelines, conducts code reviews, mentors junior developers, troubleshoots production issues, and collaborates with cross-functional teams to deliver scalable software solutions.

Leads and governs enterprise performance engineering, including load, stress, endurance, scalability, capacity, resiliency, monitoring, and bottleneck analysis. Integrates performance validation into Agile and DevOps pipelines, promotes AI-assisted testing and analysis, establishes engineering standards, and delivers actionable metrics to technical and executive stakeholders. The role also develops talent, manages cross-functional collaboration, improves developer productivity, and ensures security, reliability, observability, compliance, and operational efficiency.

Build and manage Adobe Journey Optimizer, Adobe Campaign Classic, and Adobe Experience Platform solutions for personalized omnichannel customer journeys. Responsibilities include campaign workflows, JavaScript and SQL development, data ingestion and transformation, XDM schemas, identity stitching, audience activation, APIs, microservices, integrations, analytics tracking, testing, troubleshooting, documentation, and privacy compliance.

Designs and manages Azure Kubernetes Service clusters and cloud-native platforms. Develops Helm charts, Kubernetes YAML resources, and CI/CD pipelines using Azure DevOps and GitHub Actions. Manages Docker workloads and registries, implements monitoring with Azure Monitor, Prometheus, and Grafana, and applies platform security practices. Troubleshoots cluster, networking, storage, deployment, and pipeline issues while collaborating with development, QA, cloud engineering, and platform teams.

Lead global strategy, engineering, and operations for MetLifes infrastructure platforms. Modernize cloud and hybrid hosting, build scalable AI/ML and data platforms, oversee network and end-user technologies, manage global teams, drive cost optimization, resilience, and cross-functional alignment to support enterprise analytics and AI workloads.

Develop, test, deploy, maintain, and support full-stack applications and platforms. Assist with requirements and user stories, participate in code and design reviews, resolve incidents, collaborate cross-functionally, and integrate AI capabilities such as GenAI APIs and machine learning models. The role also involves learning modern software engineering practices, cloud-native technologies, secure coding, automated testing, and database development.

Develop, test, deploy, maintain, and support software applications and platforms in an agile environment. Assist with requirements and user stories, collaborate with senior developers and cross-functional teams, and contribute to AI-enabled features. Apply secure coding, automated testing, cloud-native technologies, and modern software engineering practices to build scalable, resilient solutions.

Leads development of robust Java and Node.js applications and microservices, optimizing databases for scalability and performance. Performs code reviews, mentors junior developers, enforces engineering best practices, and implements CI/CD pipelines. Collaborates with cross-functional teams, troubleshoots complex development and production issues, and evaluates emerging technologies and productivity tools such as GitHub Copilot.

Build, test, configure, integrate, and support Salesforce Sales Cloud capabilities using Apex, Lightning Web Components, SOQL/SOSL, Flows, APIs, and declarative tools. Collaborate with product, architecture, QA, DevSecOps, vendors, and business teams in Agile/SAFe delivery. Develop tests, documentation, integrations, and deployment materials; participate in reviews and production support; investigate incidents, security issues, performance problems, and integration failures under senior guidance.