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Location
In office (Pune)
Seniority
Senior · 6+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026.

Overview
Company
Impact
Profile match
Intercontinental Exchange (ICE) is an American exchange and financial data company headquartered in Atlanta, Georgia, that owns the New York Stock Exchange, the ICE Futures exchanges for energy, commodities and financial derivatives, and several clearing houses. Founded in 2000 by Jeffrey Sprecher and listed on the NYSE, it also sells fixed income and market data, indices and analytics, and runs ICE Mortgage Technology, built on its acquisitions of Ellie Mae and Black Knight. It hires trade operations analysts, client support specialists, ServiceNow developers, accounting consultants and AI and data product managers, mainly in Atlanta, Jacksonville, Hyderabad and New York.

Job Description

Job Purpose

ICE Mortgage Technology® is driving value to every customer through our effort to automate everything that can be automated in the residential mortgage industry. Our integrated solutions touch each aspect of the loan lifecycle, from the borrower's "point of thought" through e-Close and secondary solutions. Drive real automation that reduces manual workflows, increases productivity, and decreases risk.

You will be working in a dynamic product development team while collaborating with other developers, management, and customer support teams. You will have an opportunity to participate in designing and developing services utilized across product lines.

The ideal candidate should possess a product mentality, have a strong sense of ownership, and strive to be a good steward of his or her software. More than any concrete experience with specific technology, it is critical for the candidate to have a strong sense of what constitutes good software; be thoughtful and deliberate in picking the right technology stack; and be always open-minded to learn (from others and from failures).

Responsibilities

  • Develop high-quality data processing infrastructure and scalable services that are capable of ingesting and transforming data at huge scale coming from many different sources on schedule.
  • Turn ideas and concepts into carefully designed and well-authored quality code.
  • Articulate the interdependencies and the impact of the design choices.
  • Develop APIs to power data driven products and external APIs consumed by internal and external customers of data platform.
  • Collaborate with QA, product management, engineering, UX to achieve well groomed, predictable results.
  • Improve and develop new engineering processes & tools.

Knowledge and Experience

  • 6+ years of building Enterprise Software Products.
  • Experience in object-oriented design and development with languages such as Java and its frameworks
  • Experience building REST based micro services in a distributed architecture along with any cloud technologies. (AWS preferred)
  • Knowledge in Java/J2EE frameworks like Spring Boot, JPA, JDBC and related frameworks.
  • Built high throughput real-time and batch data processing pipelines using Kafka, on AWS environment with AWS services like S3, Kinesis, Lamdba, RDS, DynamoDB or Redshift.
  • Experience with a variety of data stores for unstructured and columnar data as well as traditional database systems, for example, MySQL, Postgres
  • Proven ability to deliver working solutions on time
  • Strong analytical thinking to tackle challenging engineering problems.
  • Great energy and enthusiasm with a positive, collaborative working style, clear communication and writing skills.
  • Experience with working in DevOps environment - “you build it, you run it”
  • Demonstrated ability to set priorities and work in a fast-paced, dynamic team environment within a start-up culture.
  • Experience with big data technologies and exposure to Hadoop, Spark, AWS Glue, AWS EMR etc. (Nice to have)
  • Experience with handling large data sets using technologies like HDFS, S3, Avro and Parquet (Nice to have)
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