System Engineer, Vice President
External
Blackrock · Mumbai, IndiaPrepare for this interview
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About this role We are looking for an automation engineer to join the Implementation Services team, working within the Aladdin Platform Group. A person who has a passion for designing best in class automation solutions, while leveraging new technologies to improve procedures & create new processes. This role involves identifying trends and being a problem solver with a proven aptitude for quickly learning new technologies and proprietary systems. You will be a development expert for all implementation services projects related to client builds, migrations, templating, and onboarding. We have a broad and diverse engineering skillset and are seeking a new team member to join us who will bring development leadership and AI expertise to the role. If you have a background in leading automation development and a track record in outstanding service delivery, we would love to speak to you! Role Responsibility Build, update, and maintain tooling that facilitates automated deployment and onboarding of new and existing Aladdin clients / applications hosted in Azure and AWS. Designing, implementing and working with automated solutions for cloud-based infrastructure. Partner with product, platform, and data engineering teams to embed AI capabilities (e.g., intelligent decisioning, anomaly detection, optimization, self-healing) into implementation and tooling workflows. Build relationships with stakeholders to understand their roles and requirements and clearly communicate with them on progress, challenges, and questions. Ensure resilience and stability through quality code reviews, unit and regression testing, and level two production support for owned tools. Collaborate with team members in a multi-office, multi-time zone environment. Skills/Qualifications: Bachelor's or Master's degree specializing in Computer Science, Technology, MIS, Mathematics, Physics, Engineering or similar. 8+ years of industry experience in an engineering / developer role. Experience in a programming language such as Perl, Python or Java and their respective testing modules. Exposure to and understanding of cloud ecosystems such as AWS or Azure, including knowledge of their respective APIs for provisioning and monitoring. Understanding of Agile work environments, including knowledge of Azure DevOps, GIT and CI/CD. Foundational understanding of AI/ML concepts, particularly as applied to automation, observability, or developer tooling. Familiarity and adherence to SDLC best practices Excellent communication and presentation skills. Good to have: Experience applying AI in platform engineering, DevOps, or SRE contexts (e.g., intelligent alerting, root-cause analysis, capacity optimization). Experience with configuration management or Infrastructure as Code tools like Terraform or Ansible, as well as AWX. Experience with GenAI or LLMs for developer productivity, automation, or operational intelligence use cases. Experience with Kubernetes and containerized platforms. Previous experience working in the Financial Services or Technology industry.
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