Top Engineering Jobs

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.

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.

Build scalable full-stack applications using Java, Spring Boot, microservices, ReactJS, React Native, Angular, and TypeScript. Develop REST APIs, backend services, mobile-first interfaces, AI/GenAI-enabled workflows, and cloud applications on Azure. Work with Oracle and MySQL databases, support production deployments, optimize system performance, and collaborate across teams to deliver reliable enterprise platforms.

Lead a cloud platform engineering team that designs, develops, operates, and secures scalable public cloud services. Responsibilities include infrastructure automation, CI/CD, monitoring, security controls, technical debt reduction, standards development, cross-team collaboration, and mentoring engineers in an agile environment.

Architect, operate, and maintain resilient cloud infrastructure across Azure and AWS commercial and government environments. Support Kubernetes platforms, IaC, observability, monitoring, deployments, platform services, performance testing, and incident response. Define reliability metrics, participate in 24/7 on-call rotations, perform root cause analysis, and automate operational processes and remediation. The role requires U.S. citizenship and eligibility to obtain a Confidential, Secret, or Top Secret clearance.

Architects, develops, operates, and maintains secure, resilient cloud infrastructure across Azure and AWS commercial and government environments. Builds Kubernetes platforms, infrastructure-as-code, observability tooling, monitoring, alerting, automation, and self-healing capabilities. Partners with engineering teams on SLOs, SLAs, deployments, incident response, performance testing, cost controls, security, and compliance. Participates in a 24/7 on-call rotation and improves operational processes and tooling.

Architects, builds, operates, and improves Azure commercial and government cloud infrastructure. Develops platform services, Kubernetes environments, infrastructure automation, observability, monitoring, alerting, and resiliency frameworks. Partners with engineering teams to define reliability objectives, supports production systems through an on-call rotation, and resolves root causes using automation and self-healing. The role requires strong cloud, Kubernetes, infrastructure-as-code, security, networking, and production operations expertise.

Administer, optimize, and provide operational ownership for enterprise Microsoft SQL Server, Azure SQL, and MongoDB Atlas environments. Ensure high availability, disaster recovery, security, scalability, and performance across production workloads. Design cloud database architectures, troubleshoot infrastructure and application issues, support architecture reviews, automate administration using T-SQL and PowerShell, and adopt AI-assisted engineering tools. Provide rotational on-call support and lead continuous improvement initiatives.