WHAT MAKES US, US
Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!
At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.
If you like what we're saying, keep reading!
WHY THIS ROLE IS IMPORTANT TO US
We are looking for an experienced Lead/Principal Cloud Engineer to join the Data Platform Teams to act as the go-to CI/CD expert supporting our existing flows and teams and to lead the design of secure multi-tenant cloud infrastructure for future initiatives.
You'll set technical direction and shared standards for CI/CD and cloud practices used across multiple teams, build the pipelines, automation, and infrastructure-as-code that let teams ship safely and consistently, and mentor engineers along the way.
You will be working in an agile environment with two teams and collaborating closely with architects and product management.
WHAT YOU WILL BE RESPONSIBLE FOR
- Act as the go-to CI/CD specialist - designing, implementing and maintaining the CI/CD pipelines (Azure DevOps and GitHub Actions) and deployment automation (Octopus Deployment)
- Implement and maintain observability solutions (logging, metrics, alerting, dashboards) and support SOC2-aligned, SLA-driven production operations
- Set technical direction and define shared CI/CD and cloud standards adopted across multiple data platform teams and mentor engineers
- Lead the design and implementation of secure, multi-tenant cloud environments on Azure including customer data segregation and the technical layer of the platform's governance model (access packages, role-based enforcement)
- Use Terraform (and Bicep/ARM templates where relevant) for secure, repeatable infrastructure provisioning, and build/maintain Kubernetes environments for fast, safe, and repeatable deployments
- Write and maintain automation scripts and tooling (e.g. Python, PowerShell, C#) to reduce manual work and streamline build, test, release, and deployment processes
- Identify and resolve CI/CD, deployment, and infrastructure issues across development, test, and production environments while collaborating with data platform and development teams to improve pipeline reliability, delivery, and operational readiness
- Participate in architecture discussions and decisions (cloud design patterns, cost optimization, security posture), and directly identify and resolve delivery bottlenecks
- Contribute to documentation, runbooks, and knowledge sharing across teams
KEY SKILLS AND REQUIREMENTS
The ideal candidate has several years of experience in (Finance)-related cloud engineering, DevOps, CI/CD, platform engineering, or data platform delivery environments, and is equally comfortable designing cloud infrastructure as running application delivery and automation - with a practical mindset focused on reducing manual steps and making delivery workflows easier for engineers to use and maintain.
- Practical experience designing, building, and maintaining CI/CD pipelines and deployment automation, along with expertise in Azure DevOps (required), GitHub Actions, or Octopus Deploy-based release workflows
- Experience designing and implementing multi-tenant customer data segregation, with clear separation between security controls and operational access, including the technical layer of a governance model (access packages, role-based enforcement)
- Terraform experience for Infrastructure as Code (Bicep/ARM a plus)
- Solid practical experience with Microsoft Azure cloud services, including networking, security, and identity/access management
- Coding ability in at least one language (e.g. C#, Python, PowerShell), with solid software engineering practices - testing, version control, code review, branching, build/release/deployment
- Understanding of containerization and orchestration (Kubernetes/AKS), and monitoring/observability tools (e.g. Azure Monitor, Application Insights, Grafana)
- Advanced troubleshooting skills across development, test, and production environments, comfortable in Linux and Windows server environments
- Solid problem-solving and communication skills - able to work well with engineering teams and explain technical trade-offs to technical and non-technical stakeholders alike
Desirable
- Python and SQL scripting experience in data platform or data engineering contexts, with familiarity with data pipelines, orchestration, and processing workflows
- Experience improving developer feedback cycles and building reusable automation and self-service workflows for engineers
- Fin