Lead Software Engineer (AI and DevOps)

Lead Software Engineer – AI and DevOps

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

In SimCorp, we help some of the biggest financial institutions in the world be successful by simplifying their accounting, operations, and investments. We do this through IT systems, processes, and financial knowledge. High quality, performing, secure, and cost-effective software is at the core of what we do. To build, maintain and operate this software, engineers are essential to us.

SimCorp’s AI & Insights area is building the foundation for the agentic future of investment operations: Running SimCorp agents, leveraging partner agents, and integrating with clients workflows. The AI Platform team owns that foundation: a compliant, standardized, secure, and user-friendly agentic ecosystem that domain teams can leverage when building their AI features.

The team’s recent deliveries and current focus include preparing Agent Orchestrator and SimCorp One Neo for production, publishing the Agent Development Stack, implementing evaluation, trust, safety and guardrails, progressing multi-agent orchestration, and exploring MCP for SimCorp One APIs.

You will be working with a team located in Noida/Hyderabad in India and Copenhagen, Denmark. The Product Development team functions as a center of enablement for artificial intelligence (AI), providing knowledge and guidelines to other teams, as well as working hands on implementing and operating solutions with AI.

WHAT YOU WILL BE RESPONSIBLE FOR

The Lead Software Engineer (DevOps) at SimCorp, at the IC5 grade, is responsible for

DevOps best practices and the Azure cloud ecosystem for AI enabled software solutions. This role requires a strong mix of hands-on engineering, architectural thinking, and leadership to ensure both immediate delivery and long-term sustainability. You will be part of a scrum team working closely with Product Owner and business stakeholders. The Lead Software Engineer takes ownership of key engineering projects, provides technical guidance to junior engineers, and ensures that software is delivered on time and within scope. This position requires strong problem-solving skills, expertise in software engineering practices, and the ability to work in a collaborative and fast-paced environment.

We work team-based, so your primary responsibility is as a team member. You need to make sure the team delivers on its commitments, that it’s a good place to work for you and your teammates, and that it continuously improves.

Daily tasks are for example:

• Build and maintain Infrastructure, CI/CD process and monitoring for AI solutions developed using C#, .Net and Azure.
• Going from proof-of-concepts to high quality, production ready solutions.
• Lead the design and development of DevOps solutions and infrastructure ensuring they meet business needs and technical requirements
• Provide technical leadership and mentorship to engineering team, fostering a collaborative and high-performance environment
• Collaborate with product management, design, and quality assurance teams to ensure seamless integration and delivery of software solutions.
• Troubleshoot and resolve complex technical issues, ensuring high-quality solutions that are scalable, reliable, and performant
• Ensure adherence to Devops best practices, including industry standards, testing, and documentation
• Take ownership of key features and components, driving their design and implementation from concept to delivery
• Continuously assess and improve engineering processes, AI advancements, automation, recommending new tools and technologies to enhance productivity and software quality
• Participate in code reviews, ensuring that the team follows best practices and maintains high standards for azure infrastructure and …