1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
Oversee the pipeline of ongoing application developments to ensure timely delivery.
Coordinate with the development team to prioritize development pipeline
Collaborate with business teams to gather and document new application requirements.
Analyse requirements to ensure they align with business objectives and technical feasibility.
Act as a bridge between the business and development teams ...
2 Opening(s)
7.0 Year(s) To 10.0 Year(s)
22.00 LPA TO 27.00 LPA
Team Lead
WFO - Mon to Fri - 9am to 6pm
7 to 10 years of experience
Reporting to our Tech Architect
Also for the process of Interview -
Round 1 - Online Gmeet video call - 15 mins
Round 2 - In office - Technical round -
Round 3 - In office - CTO round -
Key ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 22.00 LPA
Module Lead
WFO - Mon to Fri - 9am to 6pm
5 to 7 years of experience
Reporting to our Tech Architect
Also for the process of Interview -
Round 1 - Online Gmeet video call - 15 mins
Round 2 - In office - Technical round -
Round 3 - In office - CTO round -
Key ...
3 Opening(s)
3.0 Year(s) To 5.0 Year(s)
8.00 LPA TO 15.00 LPA
Senior Software Engineer
WFO - Mon to Fri - 9am to 6pm
3 to 5 years of experience
Reporting to one of our existing TL
Also for the process of Interview -
Round 1 - Online Gmeet video call - 15 mins
Round 2 - In office - Technical round -
Round 3 - In office - ...
1 Opening(s)
10.0 Year(s) To 12.0 Year(s)
15.00 LPA TO 15.00 LPA
Job Title: Senior Technology Business AnalystLocation: MumbaiDepartment: Information Technology / Business Analysis
Role Summary:
The Senior Technology Business Analyst will act as a liaison between the Asset Management business and technology teams to drive successful delivery of digital solutions and process enhancements. The individual will be responsible for gathering and analysing requirements, leading solution design, ...
2 Opening(s)
4.0 Year(s) To 9.0 Year(s)
5.00 LPA TO 7.00 LPA
1. Expert-level proficiency in C# and a strong understanding of the .NET framework.
Deep knowledge of object-oriented programming (OOP) concepts and design patterns.
Extensive experience with ASP.NET MVC and ASP.NET Core, including building RESTful APIs and web services.
Proficiency in front-end web technologies such as HTML5, CSS3, JavaScript, and modern JavaScript frameworks (e.g. ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
12.00 LPA TO 25.00 LPA
JOB DESCRIPTION:-
Bachelors in Computer Science or Data Science or Information Systems or Mathematics or Statistics or equivalent years of relevant work experience.
5+ years of experience with agile software development testing, reviewing user stories, acceptance criteria, and other available information to develop test plans and test scenarios, both manual and automated
2+ ...
3 Opening(s)
2.0 Year(s) To 8.0 Year(s)
4.00 LPA TO 15.00 LPA
Coimbatore
Requirement: Dot Net Developer
Experience:
Software Engineer: 2 - 4.5 years
Senior Software Engineer: 5 - 8 years
Mandatory Skills: Proficiency in Microsoft Technologies including ASP.NET 4.X and above, .NET Core, C#.NET, ADO.NET, MVC, SQL, and Web API
Notice Period: Preferably Immediate (up to 30 days maximum)
Core Responsibilities:1. Frame specifications based on high-level understanding of the problem statement and develop the ...
2 Opening(s)
2.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 8.00 LPA
Coimbatore
Requirement: Dot Net Developer
Experience: 2 To 4 Years
Mandatory Skills: Proficiency in Microsoft Technologies including ASP.NET 4.X and above, .NET Core, C#.NET, ADO.NET, MVC, SQL, and Web API
Notice Period: Preferably Immediate (up to 30 days maximum)
Core Responsibilities:1. Frame specifications based on high-level understanding of the problem statement and develop the code.2. Develop, write, and implement software-programming applications following ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...