Top Senior DevOps Jobs in Miami, FL

As a Senior Software Engineer at NexHealth, you'll build scalable back-end systems, maintain integrations with EHRs, and manage cross-functional engineering projects to support the company's growth.

Lead and oversee QA/test activities across the SDLC for large federal healthcare systems. Manage QA processes, automation frameworks, performance and accessibility testing (Section 508), data validation, tooling, SOPs, metrics, and QA teams. Ensure compliance with CMS standards, drive continuous improvement, and embed QA into Agile delivery to meet program milestones.

Design and deliver scalable solutions using Microsoft 365 and integration technologies; mentor teams, manage projects, support implementations, and drive continuous improvement.

The Senior Software Engineering Manager will lead the Platform division, managing teams focused on AI, DevOps, compliance, and engineering standards, ensuring effective platform strategy and reliability.

The Staff DevOps Engineer will design and operate infrastructure for development environments, implement quality gates, and build internal tools for observable pipelines, collaborating with teams to enhance automation and development processes.

This role focuses on designing automation solutions across multiple platforms, reducing human intervention through innovative engineering, and enhancing system performance using agile methodologies.

Lead technical solution development for military and Federal civilian health capture and proposal efforts, ensuring technical compliance and producing quality architecture designs.

The Principal Software Architect will lead complex initiatives involving backend services and cloud infrastructure, drive AI integration, define engineering standards, and mentor engineers while collaborating with various stakeholders.

Administer and support Oracle E-Business Suite on OCI, including installation, configuration, patching, and performance tuning while ensuring compliance with security requirements.

Build and own data-driven dashboards and backend services for DeFi risk analysis. Develop React frontends, GraphQL APIs, and cloud-native data pipelines. Collaborate with research and protocol teams, mentor junior engineers, drive architectural improvements to the Alert Portal, ensure code quality through testing and reviews, and identify product and technical enhancements.

Senior backend engineer responsible for designing and implementing scalable, high-availability backend services for investment and financial products. Work primarily on backend APIs, integrations with financial institutions, databases, testing, troubleshooting production issues, and contributing across the stack while focusing on performance, security, and maintainability.

The Director of Cloud Native Applications will lead a team, oversee project delivery, and shape the technical vision for AI-enabled software solutions on AWS, ensuring high-quality delivery and business growth.

Lead design and development of customer profile operational data stores and integration pathways. Drive architecture, security, compliance, DevOps and CI/CD practices, mentor engineers, govern vendor delivery, troubleshoot production, and align technical solutions to business outcomes across cross-functional teams.

Design, build, test, and maintain Salesforce Sales and Service Cloud solutions. Implement configuration and custom development (Apex, LWC, integrations), support deployments, troubleshoot integrations, mentor junior engineers, and collaborate with stakeholders to ensure scalable, resilient solutions.

As a DCE Engineer, you will troubleshoot and debug issues, perform root cause analysis, optimize software solutions, and collaborate with various teams to enhance product reliability and performance.

Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.

Design, develop, test, and deploy full-stack Java applications (backend Java/Spring Boot, frontend React/Angular, PostgreSQL). Lead architecture decisions, mentor developers, perform code reviews, troubleshoot issues, implement testing strategies (JUnit, Cypress, Playwright), collaborate with product/QA/DevOps in Agile, and support VA mission-critical initiatives while meeting security and clearance requirements.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Design, implement, and operate large-scale distributed NoSQL and multi-model database solutions across cloud and hybrid environments. Provide architecture, performance tuning, sharding/partitioning, disaster recovery, monitoring, automation, and migration support. Partner with engineering and business teams to define data strategies, perform security assessments, and lead implementation, troubleshooting, and on-call operations.

Hands-on platform engineering lead supporting platform modernization, API integrations, Azure migrations, DevOps readiness, data migration (PHI/PII aware), risk identification, and technical documentation while coordinating cross-functional teams.

Build and enhance full‑stack cloud-native applications using Java/Spring and JavaScript/React. Own the full SDLC, apply TDD and CI/CD, troubleshoot production issues, mentor junior engineers, and drive technical direction as experience increases from contributor to Lead.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

Remote backend engineer role building web services and data pipelines using Scala and Java. Requires Akka/Pekko (streams, actors, clustering, persistence, HTTP), functional programming with Cats/Cats Effect, streaming/distributed system design, AWS services (Kinesis, DynamoDB, SQS/SNS, API Gateway, IAM, KMS), SQL optimization, CI/CD, and hands-on high-availability architecture experience.

Lead and mentor engineering teams across squads, provide architectural and cloud (AWS/Azure) oversight, standardize CI/CD, IaC, automated testing, and secure DevOps practices, embed compliance (ATO/FedRAMP) into delivery, partner with product/design, and manage people and performance in a federal contracting environment.