RDS Engineer supporting enterprise - grade RDS environments for Wells Fargo. Building and tuning Windows Server RDS environments and collaborating with security and networking teams.
About the role
- DevOps specialist strengthening Honeywell's build, release, and runtime platform. Collaborating on automation, CI/CD pipelines, and enhancing capabilities for Honeywell's Building products.
Responsibilities
- Lead and manage backlog actively with focus on high impact automation (reduce toil, accelerate releases, prevent failures)
- Lead and support container platform deployment, monitoring and lifecycle management using Docker, Kubernetes and related tools.
- Lead setting standards and running post-mortems for driving continuous improvement
- Champion DevOps best practices in CI/CD, monitoring and configuration management
- Has a combination of skills across infrastructure, code, automation, networking and build techniques
- Set up monitoring and alerting systems for proactive issue detection
- Reviews problems and figures out the best way to solve them with automation
- Uses the smallest possible number of manual tasks
- Feedback loops are strong and help to build rapport with team members
- Coaching and helping develop other team members and contribute to a culture of learning and autonomy
- Maintain clear, up-to date documentation for systems, procedures and configurations
- Follow a strict process for changes being introduced into the environment using pattern-based approach
- Provide knowledge transfer to customer DevOps teams
Requirements
- Proven experience with complex, enterprise environments
- Strong recent experience in on-premise infrastructure environments (preferred over cloud-only experience)
- Strong Windows and Linux fundamentals, scripting (shell, Powershell, Python) and networking basics
- Strong experience with CI/CD tooling such as Git, Github Actions, Bamboo
- Strong experience in Containers, Docker, Kubernetes
- Experience in application code (preferably .NET) is highly valued.
- AI-Driven automation and infrastructure management is highly valued
- CI/CD Pipeline Optimization for AI models is highly valued.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior DevSecOps Engineer managing Azure to AWS migration for AccuSourceHR. Leading cloud architecture, CI/CD implementation, and ensuring security and reliability in production systems.
Site Reliability Engineer ensuring infrastructure reliability and performance for Hornetsecurity. Collaborating across product, business, and infrastructure teams in a critical environment.
Senior DevOps Engineer developing core infrastructure supporting Shelf products. Focused on building reliable, secure, and scalable systems in hybrid work environment.
Cloud/Kubernetes Engineer supporting hybrid infrastructure across AWS and on - premise Kubernetes environments. Automating tasks and managing production reliability, security, and scalability.
AWS Infrastructure DevOps Engineer at Growth Acceleration Partners supporting AWS environments and infrastructure automation. Focused on reliability, security, and operational efficiency across production environments.
Site Reliability Engineer driving innovation and automation for Banking Solutions and Payments. Collaborating with teams to ensure application performance and reliability in a dynamic environment.
Mainframe SRE working on critical payment systems for fintech, ensuring stability and security. Collaborating with teams to perform root cause analysis and automate processes.
DevOps Engineer responsible for cloud product delivery, platform reliability, and using AI tools in DevOps workflows. Building CI/CD pipelines and optimizing container workloads for security and performance.
Senior DevOps Engineer for Paysafe, designing and deploying AWS applications and infrastructure. Collaborating on cloud environments and improving processes for scalable solutions.