Top Engineering Jobs

Develop and maintain manual and automated testing strategies, frameworks, suites, test cases, and plans for web-based applications. Validate requirements, execute functional and non-functional tests, support user acceptance testing, track and triage defects, collaborate with business and development teams, establish QA best practices, and verify production implementations. The role requires expertise in Selenium, Java, TestNG, Cucumber, REST Assured, SQL, performance testing, and AI-assisted test automation.

Owns end-to-end software application design, development, testing, deployment, DevOps, and production support across Angular, .NET Core, Azure, SQL Server, and Kubernetes. Leads modernization, cloud-native architecture, automation, CI/CD, testing, production troubleshooting, and operational improvements. Uses AI-assisted engineering tools to improve code quality and delivery speed, collaborates with cross-functional teams on product roadmaps, and mentors engineers while ensuring security, compliance, reliability, and SLA performance.

Maintain, configure, and optimize CICS environments on IBM z/OS across multi-LPAR and Parallel Sysplex systems. Manage CICS regions, resource definitions, upgrades, monitoring, incident resolution, performance tuning, automation, and z/OS Connect integration. Support disaster recovery, capacity planning, region decommissioning, vendor troubleshooting, and 24x7 on-call operations. Use approved AI and analytics tools to improve workflows, diagnostics, documentation, and operational resilience while collaborating with application, automation, and cross-functional teams.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.

Design, develop, test, document, and maintain scalable big data and cloud solutions. Build analytics rules engines, APIs, AI/ML prototypes, and enterprise integrations using Scala, Python, Azure, Spark, and related technologies. Evaluate tools and frameworks, define technical architecture, analyze requirements, estimate development work, conduct code reviews, collaborate across teams, provide production support, and improve existing applications.

Defines and leads end-to-end architecture for enterprise healthcare analytics platforms. Designs scalable Azure-based data lakes, lakehouses, pipelines, integrations, and cloud-native solutions using Databricks, Spark, Kafka, and related technologies. Drives modernization, automation, governance, security, observability, and reliability initiatives. Partners with business and technical stakeholders, leads architecture reviews, evaluates emerging technologies, mentors engineers, and applies AI/GenAI tools to improve development productivity and solution quality.

Develop and test software across the full engineering lifecycle, including APIs, microservices, reusable frameworks, and Angular or React interfaces. Collaborate with architecture, business, IT, and cross-functional teams; participate in Agile/Scrum delivery; review code; improve development processes; troubleshoot production issues; and support cloud-based CI/CD deployments. The role also involves mentoring and leading peers and teams.

Designs, implements, and manages Azure cloud data platform infrastructure, including Azure Data Factory, ADLS Gen2, Logic Apps, Blob Storage, Snowflake, and Databricks. Develops GitHub Actions CI/CD pipelines and Terraform infrastructure-as-code solutions. Collaborates with cross-functional teams, monitors platform performance, troubleshoots issues, applies security best practices, and delivers scalable, reliable data solutions.

Designs and owns scalable backend systems using Java and Spring Boot, develops REST APIs and microservices, and builds event-driven pipelines with Apache Kafka. Deploys and optimizes cloud applications on Microsoft Azure, implements CI/CD, monitoring, security, and testing, and troubleshoots production issues. Leads architecture and code reviews, mentors engineers, manages technical delivery and dependencies, and partners with product, QA, and stakeholders in an agile environment.

Leads reliability for enterprise digital applications, microservices, pharmacy platforms, and cloud infrastructure. Responsibilities include improving availability and performance, implementing observability and monitoring, automating infrastructure and CI/CD pipelines, tracking SLI/SLO and error-budget metrics, managing incidents and root-cause analyses, and mentoring engineering teams. The role also influences digital supply chain workflows, transactional performance, system integrations, and resilient technical architectures.