A financial firm is looking for an Engineering Manager to join their team. This role is remote. 

Compensation: $160-$180k

Responsibilities: 

Architect, design and develop large-scale distributed cloud solutions using Microsoft Azure Provide technical leadership and project management for every aspect of software development lifecycle including architectures, integration, governance, and quality assurance Manage globally distributed teams of engineers in areas such as task planning, execution, QA, and code reviews Write detailed technical and functional requirements and process flowcharts Participate in solutions design with the team, product line architects and leadership Design databases, data models, and data pipelines Develop flexible, adaptable, modular and reusable cloud solution architectures designs in collaboration with respective application teams Design, build, and maintain efficient, reusable, and reliable code, including automated tests Identify areas of improvement, and devise solutions to mitigate and address these issues

Qualifications: 
Required

3 years as an engineering manager leading a distributed team of engineers and scientists with varying skills 7 years of experience as a Solution Architect and a full stack engineer Experience building large scale data intensive platforms and databases Experience leading a globally distributed team in multiple time zones Experience with .NET Core, C#, python, Azure SQL Server, PostgreSQL Strong database, SQL, ETL and data analysis skills Understanding of Cloud native architecture principles and modern architecture techniques (e.g. event driven architectures, stream processing, event sourcing/CQRS, Event storming) Deep understanding of various Azure services and solutions - Kubernetes, Containers, PaaS, SaaS, SQL, APIM, Functions, Blob Storage, Event Grid, Key Vault, API management, Application Insights, etc. Experience with Serverless Microservices, Containers, and automatic API's Experience with GraphQL, gRPC, and API design, development and security practices Early-stage startup experience and ability to work and execute in an agile and fast-moving environment

Preferred

Experience building enterprise SaaS products; fintech/proptech knowledge additive Experience building large scale graph databases Azure Data lake and Data warehouse experience  Experience with Data pipelines, data factory, and integrating with various third party data providers, services Cosmos DB / Spark / Redis / ELK stack experience  Experience with Automation, DataOps, Client Ops, DevOps, Infrastructure as code, and CI/CD pipelines Machine learning, NLP, RPA, Automation experience24-02332

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