Senior Developer

ICE Clear Europe Limited; Pune District; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

ICE Mortgage Technology in Pune, India, is seeking an experienced software engineer to join a dynamic product development team. You will design and build scalable data processing pipelines and REST-based microservices powering data-driven products.

The ideal candidate has 6+ years building enterprise software, strong Java/J2EE with Spring Boot, Kafka, and AWS, and a collaborative, ownership-driven mindset. This role emphasizes thoughtful stack choices, DevOps practices, and delivering

Qualifications

• 6+ years building enterprise software products.
• Strong experience in object-oriented design and Java frameworks.
• Experience with REST-based microservices in a cloud environment (AWS preferred).
• Proven ability to build high-throughput data pipelines using Kafka on AWS.

Responsibilities

• Develop high-quality data processing infrastructure and scalable services.
• Transform ideas into well-authored, high-quality code.
• Develop APIs for data-driven products and data platform users.
• Collaborate with QA, product management, engineering, UX for predictable results.
• Improve engineering processes and tools.

Skills

Java / JavaEE

Spring Boot

REST microservices

AWS

Kafka

SQL / MySQL / PostgreSQL

Distributed systems

DevOps mindset

Big data basics

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)