Distinguished Engineer at Intellibus
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

70.58

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Machine Learning, Wealth Management, Computer Science, Snowflake, Programming Languages, Databases, Data Streaming, Ansible, Kafka, Python, Data Analytics, Fintech, Azure, Automation Tools, Java, Cissp, Financial Services

Industry

Information Technology/IT

Description

JOB DESCRIPTION

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We are looking forward to you joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.

QUALIFICATIONS AND EXPERIENCE:

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • Leadership Experience: 10+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry.
  • Technical Expertise:
  • Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
  • Strong knowledge of programming languages such as Java and Python.
  • Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
  • Certifications: Relevant certifications (e.g., AWS Certified DevOps Engineer, CISSP) are highly valued.
  • Deep expertise in REST-based microservices, Kafka for real-time data streaming, event-driven systems, and relational/Snowflake databases.
  • Innovation Skills: Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
  • Startup Experience: Previous experience in high-growth or startup environments with adaptability to scaling demands.

How To Apply:

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Responsibilities

Please refer the Job description for details

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