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Salary
$28k – $63k per year (Estimated)
Location
Remote/Hybrid (Noida, India)
Seniority
Staff · 14+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
SimCorp is a global provider of integrated investment management solutions and services for buy-side financial institutions. Headquartered in Denmark, the company delivers front-to-back technology platforms that support asset managers, pension funds, sovereign wealth funds, and central banks. Its flagship software platform, SimCorp Dimension, automates portfolio management, risk analytics, compliance, and back-office operations across multi-asset investment strategies.

Engineering Manager

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

The Engineering Manager - Data Management is accountable for leading teams responsible for delivering platform changes, upgrades, and continuous improvements across enterprise data management products and customer environments. This role ensures changes are delivered safely, predictably, and in compliance, while scaling engineering excellence through strong people leadership, governance, and adoption of data-driven and AI-enabled practices.

The Engineering Manager acts as a bridge between technical execution, change governance, and customer impact, ensuring long-term platform stability and evolution.

WHAT YOU WILL BE RESPONSIBLE FOR

Change, Upgrade & Release Ownership

  • Own end-to-end delivery of data management changes, upgrades, and major releases across environments.

  • Ensure all changes follow approved change management, validation, and rollback frameworks.

  • Accountable for release readiness, production stability, and post-release outcomes.

Data Platform & Engineering Oversight

  • Provide technical leadership across data ingestion, transformation, validation, reconciliation, and storage layers.

  • Ensure data quality, integrity, and consistency are preserved during upgrades and migrations.

  • Guide architectural decisions to balance scalability, performance, and operational stability.

Risk, Compliance & Governance

  • Identify and mitigate technical, operational, and data risks associated with change and upgrades.

  • Ensure compliance with data governance, audit, and regulatory expectations, including segregation of environments.

  • Maintain strong documentation, traceability, and audit readiness for all changes.

People Leadership & Talent Development

  • Lead and develop engineering, QA, and release/change professionals.

  • Drive performance management, career growth, mentoring, and succession planning.

  • Foster a culture of accountability, quality, continuous improvement, and psychological safety.

Stakeholder & Customer Alignment

  • Partner with product, operations, compliance, and customer-facing teams to align priorities.

  • Communicate change scope, risks, timelines, and outcomes clearly to stakeholders.

  • Support escalations with data-driven analysis, corrective actions, and preventive improvements.

Process Excellence & Continuous Improvement

  • Continuously improve change, release, and validation processes to reduce defects and recovery time.

  • Promote standardization, automation, and repeatability in upgrade execution.

  • Track delivery and operational metrics to improve predictability and quality.

Required Experience & Capabilities

  • Proven experience managing engineering teams in complex, data-centric environments.

  • Strong understanding of data platforms, releases, and change governance.

  • Demonstrated ability to balance technical depth, people leadership, and stakeholder management.

  • Experience applying automation and AI-assisted practices in engineering or operations is a strong advantage.

WHAT WE VALUE

  • 14-15 years of overall software engineering experience with significant time in .NET/C# ecosystems.

  • 5+ years leading engineers (direct people leadership), owning delivery and engineering standards.

  • Proven ability to work effectively in large, distributed, international organizations and across levels.

Technical Experience

.NET / C# Core Expertise

Strong C# fundamentals and deep experience with Microsoft .NET Framework, including emphasis on:

  • WPF, WCF, WWF

  • Strong understanding of async programming, concurrency, and performance considerations

Modern Services & Cloud-native

Strong experience with Web API, .NET Core, and modern architecture patterns:

  • Microservices

  • Docker / container-based applications

Azure DevOps Pipelines

  • Hands-on experience designing and operating Azure DevOps CI/CD pipelines, including quality gates and release orchestration.

Code Reviews & Engineering Standards

  • Demonstrated ability to drive high-quality, efficient code reviews, enforce standards, and mentor engineers.

Code Optimization / Performance Engineering

  • Proven track record in profiling and code optimization strategies

Multi-threaded / Performance-intensive Systems

  • Experience building and operating multi-threaded, performance intensive applications, with strong understanding of concurrency patterns and pitfalls.

Source Control & Continuous Build

  • Strong experience with Git/TFS, branching, PR workflows, and continuous builds integrated into CI/CD.

AI Elements (Required Mindset + Practical Application)

  • To align with SimCorp’s emphasis on engineering excellence and scalable delivery, we expect the Engineering Manager to lead responsible adoption of AI-assisted practices in day-to-day engineering

AI-assisted Engineering Productivity (Developer Experience)

  • Establish team practices for AI-assisted coding (e.g., suggestions, refactoring support, unit-test generation assistance) with clear review accountability and secure usage patterns.

  • Build “definition of done” expectations for AI-assisted output (tests, security checks, performance impact review, documentation).

AI for Quality, Risk & Reliability:

Use AI-assisted approaches to improve:

  • test prioritization and regression optimization

  • anomaly detection in logs/telemetry

  • root-cause analysis acceleration during incidents

  • knowledge search across engineering artifacts (runbooks, RCA history, design notes)

Domain Experience (Strong Plus):

  • Experience in Capital Markets is a plus, preferably with Buy-Side firms (asset managers, pension funds, investment managers), and understanding of data workflows typical in investment operations and analytics.

BENEFITS

  • Global hybrid work policy - We ask you to work 2 days a week from the office. If you choose you can work remotely the other days. Of course you are welcome at the office if that is your preference.

  • Growth and innovation - Every 6th sprint is reserved for planning and innovation. So, with regular intervals you have a chance to explore and learn new skills or improve something that you believe will be beneficial to you, your team or the application.

  • Self-Direction - High degree of self-organization. Each team and developer have a high degree of freedom to plan, organize and design their work.

  • Inclusive and diverse company culture

  • Work-life balance - We believe that an equilibrium between professional responsibilities makes us all the best version of ourselves, both in private life and as colleagues in the workplace

  • Empowerment - We believe that all voices are valuable and must be heard. You will be involved in shaping our work processes

NEXT STEPS

Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.

If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.

We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.

WHO WE ARE?

For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds.

SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.

SimCorp is an equal opportunity employer and welcome applicants from all backgrounds, without regard to race, gender, age, disability, or any other protected status under applicable law. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.

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