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About
Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you’re excited about building sophisticated software that makes a real-world impact in healthcare, this is the place to do it.
You will make an impact As a Senior DevOps Software Engineer, you will serve as a technical leader within the product development organization. You will be responsible for designing and architecting AWS-based infrastructure that powers a reliable, scalable, secure, high-performing Clinical Data Intelligence Platform as well as operationalizing AI/ML capabilities across the platform and engineering team.
You will drive infrastructure design and implementation from the ground up, building fully automated testing and code delivery mechanisms with minimal manual intervention. The environment requires strong SDLC traceability, governance, and controlled promotion of software artifacts across environments.
In this role, you will influence engineering standards, infrastructure strategy, and technical direction across teams. You will collaborate closely with experienced engineers and leverage tools such as Bitbucket, TeamCity, Octopus Deploy, and Jira to enable automated CI/CD pipelines, artifact traceability, and controlled releases.
This role is ideal for an experienced, self-driven engineer who enjoys hands‑on architecture, mentoring others, and introducing modern capabilities—including AI-assisted and agentic workflows—into production‑grade systems.
Accelerate your skills and career within a fast‑growing company while impacting the future of healthcare.
Your day to day
Design, develop, test, and deploy scalable, secure, and highly interactive web applications
Own and evolve core platform modules, from concept through release and support
Influence application and system architecture with a focus on performance, reliability, security, and maintainability
Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions
Collaborate closely with Product Management, QA, and other engineers throughout the SDLC
Provide technical mentorship and guidance to other engineers on the team
Diagnoses and resolves complex production issues across distributed systems
Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations
Contribute to technical documentation including design specs, acceptance criteria, and release notes
Qualifications
Bachelor’s degree or higher preferred (Computer Science, Data Science, Engineering, or related field) and/or equivalent work experience preferred
10+ years of hands‑on enterprise software engineering experience in scalable production environments preferred
8+ years of practical AWS experience preferred
Experience managing and operating SaaS platforms on Kubernetes (EKS) and ECS, including container build, deployment, lifecycle management, scaling, and troubleshooting
Proven experience fully automating software release processes, scaling from infrequent releases to continuous delivery with multiple daily deployments, including automated rollback based on test validation.
Implement and support MLOps pipelines for model training, validation, deployment, monitoring, and retraining.
Strong experience designing and implementing Infrastructure as Code using Terraform and CloudFormation
Advanced scripting experience (Python, PowerShell, Bash) for automation and platform tooling
Responsible for end‑to‑end support of automated test execution within CI/CD pipelines using TeamCity and Octopus Deploy, including test orchestration, environment provisioning, parallel execution optimization, reporting, and enforcement of quality gates
Maintain integration with Bitbucket for source control and pull request workflows, and Jira for automated traceability between code changes, builds, deployments, and work items
Strong experience with application monitoring and observability using CloudWatch, Datadog, and/or New Relic
Experience with building infrastructure prepared to meet rigorous Disaster Recovery requirements
Strong analytical and problem‑solving skills
Excellent planning, coordination, and organizational skills
AWS:
Networking - VPC, subnets, route tables, NAT, ALB/NLB, Route 53)
Compute - EC2, Auto Scaling, Lambda, ECS, EKS)
Storage - S3, EBS, EFS, FSx)
Security - Solid understanding of security and compliance principles, including IAM, WAF, encryption (KMS), and integration of SAST, SCA, and DAST into CI/CD pipelines
Programming/Scripting: Python, PowerShell, bash, SQL, .NET
DevOps Tools: TeamCity, Octopus Deploy, Git-based workflows
Containerization & Orchestration: Docker, Kubernetes and AWS EKS and ECS
Infrastructure as Code: Terraform or equivalent
Databases: SQL Server or equivalent
MLOps Tools: MLflow or equivalent
Monitoring & Observability tools: DataDog, NewRelic
Pay Range
US Pay Ranges
$132,000 - $165,000 USD
We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.
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Languages
- English
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