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Software Engineer - Java (FinTech)

Software Engineer - Java (FinTech)

TPI Global Solutionsajmer, rajasthan, in
2 days ago
Job description

TITLE : Software Engineer Lvl 3 (Java)

Location : 100 % remote

Shift : NIGHT SHIFT (8 : 30 PM to 5 : 30 AM IST)

Type : Short-Term Contract

Duration : 3 Months

Basic Qualifications :

We are seeking a Software Engineer to join our Finance Technology Delivery team as we intensify the pace of innovation and support future growth through technology solutions. The Software Engineer will be responsible for building mission-critical Integrations between source data with financial SaaS and Nordstrom applications.

Responsibilities :

  • Leads multidimensional projects that involve multiple teams.
  • Leads and works with other software engineers on design best practices and conducts code reviews.
  • Resolves complex engineering problems, collaborating with others.
  • Facilitates cross functional troubleshooting, root cause analysis and engages others when needed.
  • Responsible for creating, evaluating, and contributing to feature detailed designs.
  • Design, develop, and implement software utilizing an agile project cycle.
  • Mentor others on the team and raise the bar for technical knowledge across a wide spectrum.
  • Demonstrates thorough knowledge of information technology concepts issues, trends and best practices as they relate to Cloud technologies and system integrations.
  • Apply and share knowledge of security coding practices and secure system fundamentals.

Skills :

  • A deep proficiency of Java, additional languages such as Python is a plus.
  • Proficiency with containerization technologies such as Docker
  • Familiarity with Kubernetes.
  • Familiarity with relational databases.
  • Experience with RESTful architecture and micro-services.
  • Experience with cloud-based services such as AWS.
  • Experience with integrations in / out of Financial planning systems (Anaplan, Oracle) a plus.
  • Familiarity with Continuous Integration and Continuous Delivery methodologies and tooling.
  • Experience in developing near real-time data processing solutions utilizing Kafka is a plus.
  • Excellent communication skills (verbal and written).
  • Education :

    Bachelor’s or Master’s degree in CS, Engineering or equivalent practical experience

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