India Archives - Magic FinServ

Product Manager (Capital Markets)

Role: Product Manager (Capital Markets)

Experience: 7 to 10 Years 

Location: Noida, Sector 127

Key Criteria

  • Strong Capital Markets knowledge & Technology Orientation is a must
  • Excellent interpersonal skills
  • Passionate and desire to grow in a fast-paced environment

Key Responsibilities

  1. Lead product teams working in multiple streams like platform engineering, testing, business analysis, DevOps
  2. Provide overall product management as well as business consulting, as required
  3. Help lay out the future product roadmap, plan and prioritize development queues
  4. Manage and maintain deep-rooted relationships with existing and new customers.
  5. Bring strong technology leadership to deliver high impact
  6. Lead, grow and mentor the team members. Identify and develop future leaders
  7. Understand Project Metrics (financial & non-financial) and drive continuous improvement

Key Qualifications

  1. Bachelor/master’s degree in engineering from premier institutes. MBA is an additional plus.
  2. 7-10 years of experience in the industry
  3. 2+ years of experience with leading & managing projects and handling direct client communication
  4. Technical background in Microsoft Technologies (C#.Net)
  5. Must have worked with reputed midsize to large services, product or investment banking captive organizations
  6. Be willing to work in small-sized teams
  7. Strong knowledge of broader capital markets space, preferably in the Trade life cycle or compliance
  8. Visible leadership abilities to lead an enthusiastic team of high-energy professionals
  9. Maturity to handle the stress of the job. Agile and forward-looking to take on new challenges

L2 Application Support Engineer

Role: L2 Application Support Engineer

Experience: 4 to 7 Years 

Location: Noida, Sector 127

What you will do:

  • Handle tickets from the L1 team
  • Work with global customers to resolve their L2 application issues
  • Work on high availability production system on cloud & non-cloud environment
  • Handle incident & problem management

What we are looking for:

  • 2+ years of experience in L2 Application Support 
  • Experience in handling Customer Tickets
  • Experience in L2/L3 Analysis of the issues
  • Maintain SLAs in 24*7 operations mode
  • Experience in Incident Management
  • Strong experience of RDBMS (SQL / Oracle)- writing queries 
  • Experience in Scripting Language- PowerShell / Shell / Bash
  • Good Communication Skills
  • Good Analytical skills 
  • Capital Market Domain knowledge


Good to have skills

  • Experience on AWS Cloud


L1 Application Support Engineer

Role: L1 Application Support Engineer

Experience: 2 to 4 Years 

Location: Noida, Sector 127

What you will do:

  • Monitor batch/jobs in 24*7 environment for applications on cloud infrastructure
  • Work on high availability production system
  • Handle incident & problem management

What we are looking for:

  • 2+ years of experience in L1 Application Support 
  • Experience with Batch Monitoring, Application Alert Monitoring 
  • Maintain SLAs in 24*7 operations mode
  • Experience in handling Customer Tickets
  • Experience in Incident Management, Release and Deployment
  • Exposure of Database; running pre-defined SQL queries 
  • Good Communication Skills
  • Good Analytical skills 


Good to have skills

  • Knowledge of Cloud; Cloud Infrastructure monitoring 
  • Knowledge of Scripting language – PowerShell / Unix Shell  


Cloud Ops

Role: Engineer / Sr. Engineer / Lead – Cloud Ops

Location: Noida, Sector-127

Experience Required: 1-8 Years


  • Responsible for the smooth functioning of IT Ops services in SAAS product delivery – AWS Cloud Ops
  • Fixing issues, maintaining uptime SLA and meeting SLA’s in 24×7 operations mode
  • Managing virtual cloud architectures, layered application and database services

Primary Skills:

  • Experience in AWS Cloud
  • Strong Knowledge of Windows Administration/Linux Administration
  • Prior experience of supporting Java/.Net based applications and related infrastructure
  • Skill to query databases and initial issue investigation for web applications
  • Experience with Server monitoring and logging tools such as Cloudwatch, Datadog, Gray logs, ELK etc.
  • Exposure to Elastic Search management and queries
  • Networking skills, VPN, firewalls, DNS, troubleshooting networking issues
  • Excellent Communication Skills


Role: Senior Engineer / Principal Engineer- C#.Net (Capital Market)

Experience: 5 to 10 Years

Location: Noida, Sector 127

We are scouting for C#.Net with a decent knowledge of Windows / Web based application technology stacks. An ideal incumbent would be the one who carries a strong understanding of how best to leverage and exploit the language’s unique paradigms, idioms, and syntaxes. You should ensure programs to be well documented and coordinate with the rest of the team to work on different layers of the application. Strong Capital Market experience is a must.


What we are looking for:

  • 5+ years of experience using .NET technologies with an emphasis on C#, Microsoft .Net Framework including WPF, WWF and WCF
  • Experience with multi-threading / performance intensive applications
  • Solid understanding and experience with Object-Oriented design and development
  • Strong Analysis, Design and Development Skills
  • Good experience in RDBMS, preferably MSSQL
  • Strong Experience in the Capital Markets – Preferably with BUY SIDE firms
  • Strong Communication Skills
  • Good problem-solving skills


Good to have skills

  • Knowledge of Web API, .Net core, Microservices, docker or container-based applications
  • Experience with Agile methodologies would be useful

Data Scientist / Sr. Data Scientist / Principal Machine Learning Engineer

Role: Data Scientist / Sr. Data Scientist / Principal Machine Learning Engineer

Location:Noida, Sector-127

Total Experience Required: 5+ Years

Relevant Experience Required in Machine Learning: 2+ Years


  • Solve complex business problems of global organizations by applying AI and Machine Learning techniques in combination with NLP and computer vision
  • Design new machine learning models for the organization’s product suite
  • Implement machine learning models and fine-tune them for different use cases
  • Systematic study of the latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems
  • Automate manual processes, optimize data-delivery and build the infrastructure required for optimal extraction, transformation, and loading of data required for a wide variety of use-cases using SQL/ETL
  • Design competitive AI/ML services and user experience for next-generation devices and create prototypes for demonstration
  • Build real-time and batch analytics platform for analytics & machine-learning
  • Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
  • Create algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models 

 Skills & Qualifications

  • Engineering degree or equivalent from a premier institute
  • At least 5+ years experience in the industry with at least 2+ yrs in Machine Learning
  • Hands On experience of existing AI/ML platforms
  • Experience in complete modeling process (Problem statement definition, Data exploration & pre-processing, Feature Engineering, Model Building, Testing & Validation)
  • Practical experience using ML methods for classification, clustering and estimation, such as Decision Trees, Random Forests, Extreme Gradient Boosting, Ridge Regression, PCA and SVM
  • Practical experience in deep learning and optimizing neural networks.
  • Expert in SQL .Understands Data very well and has extensive Data Modeling experience 
  • Familiarity with database (SQL, Oracle, Stored Procedures, MongoDB) and can work with relational as well as non-relational databases
  • Expert in Object-oriented programming concepts and principles
  • Strong analytical skills  and passion for building world-class user experiences
  • Should be an expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data.
  • Prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms will be a plus 
  • Strong background with advanced mathematical concepts related to Probabilistic Models, Linear Algebra, Calculus, and Optimization will be a plus
  • An autonomous team player- Curious, Proactive and Communicative