B Tech or M Tech in IT/Computer Science, 3+ years in people management, 7+ years with Python, .net, RDBMS/NoSQL, Experience in distributed computing and cloud platforms, Knowledge of Azure is desirable.
Key responsabilities:
Lead a strong engineering team
Contribute to design, scalability, architecture, cloud, and DevOps
Manage agile practices and tools for engineering execution
Collaborate with stakeholders to define and track projects
Focus on customer expectations and issue resolution
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DiligenceVault is the first two-sided and global fund diligence ecosystem for the investment management industry which supports both institutional and wealth investors and their investments across ETFs, Mutual Funds, Hedge Funds, and Private Markets strategies.
End investors and allocators leverage the platform to digitize and automate their diligence processes and significantly cutting their time to analyze data.
RFP, investor relations and portfolio specialist teams at asset managers adopt the platform to digitize and centralize all of their investor content and Q&A, collaborate as teams, and leverage our intelligent algorithms to deliver a responsive and modern experience to their investor clients.
As a team, we believe in and deliver a data driven diligence experience to the industry significantly cutting down cost for all involved, and getting our clients ready for the future of data.
We are looking for an Engineering Manager with strong experience in building and leading high scale, high performance cloud platform and services. If you have leadership experience with building workflow automation tools, real-time messaging, ELK, distributed architecture, and complex performance optimizations (database/API/UI) experience then this is a right opportunity for you. Please indicate your experience in the above domains in the application. You will get the opportunity to wear many hats and contribute/lead all aspects – design, scalability, architecture, cloud, and DevOps.
Requirements:
B Tech or M Tech in Information Technology, Computer Science, or equivalent.
3+ years of strong technical and people management experience - leading and building a strong engineering team.
7+ years of experience preferably in Python, .net, RDBMS/NoSQL, Microservices, REST, Angular etc.
Proven experience and well versed with distributed computing principles, high performance and high scale cloud platform and services.
Detailed oriented with strong leadership, problem-solving and communication skills.
Strong experience in modern deployment strategies - devops, CI/CD, containerization, cloud resource management etc. Knowledge of Azure is desirable.
Experience with elastic search, Redis, SSO integration (SAML), security(auth/jwt), beautifulsoup, writing parsers, machine learning and automated testing is a plus.
Good knowledge of Agile methodologies (Scrums, Sprints etc), tools (JIRA etc) and in managing and executing agile engineering practices.
Work with different stakeholders (PM, UX, Engineering, CS etc) to understand requirements and then define, design, scope and track engineering work, QA, deployment and monitoring plans with risk management.
Strong customer focus with understanding, managing and resolving customer expectations and issues.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.