Senior Full Stack Developer

Genpact; United States; Remote; USD 120,000 - 130,000; Full time

Job summary

An innovative company is seeking a Senior Full Stack Developer to drive the development of advanced AI solutions. In this role, you will engage in creating groundbreaking technical solutions for anti-money laundering tools, leveraging big data and analytics to transform complex data sets. You will collaborate with clients to design effective solutions while maintaining a dynamic work environment. This position offers the opportunity to work with cutting-edge technologies and be part of a team that values curiosity, courage, and innovation. If you are ready to make a significant impact in the tech industry, this role is for you.

Qualifications

• 5+ years of experience in IT with strong programming skills.
• Expertise in big data technologies and data analytics.

Responsibilities

• Develop and maintain the riskCanvas product for AML.
• Debug and develop new code in Java and Python.
• Design and implement distributed data analytics software.

Skills

Java

Python

Big Data

Data Analytics

Hadoop

Spark

Angular

Machine Learning

SQL

Git

Education

Bachelor’s Degree in Engineering

Bachelor’s Degree in Computer Science

Bachelor’s Degree in IT

Tools

Hadoop

MapReduce

Spark

Elasticsearch

Kafka

Neo4J

Flink

Linux

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Genpact. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Job Description:

Inviting applications for the role of Senior Full Stack Developer

In this role, you will engage in and drive development for the analytics, surveillance, and data portion of the riskCanvas End-to-End Anti-Money Laundering Tool Suite. This person will work to grow the business through creating groundbreaking technical solutions to maintain and grow our client base. Use of technical solutions to transform and analyze large data sets is crucial to this role. Also necessary is expertise in big data, data storage and retrieval, methods of analysis and statistical calculation, optimization, and algorithm design and implementation. As a technical leadership role, comfort in quickly designing and explaining solutions to clients is key. Working both directly and indirectly for clients, one would need excellent consulting and technical skills and the ability to work with both high-level business leaders and technical staff.

Responsibilities:

• Seasoned developer for L3 support and maintenance of the riskCanvas product.
• Debugging and developing new code in Java and Python.
• Flexible work hours including weekends and holidays.
• Willing to work on weekends and after hours on rotation shift.
• Designing, implementing, and enhancing distributed parallel data analytics software for AML.
• Configuring and maintaining Hadoop-based platforms for Big Data parallel processes.
• Using advanced techniques (indexing, caching, estimating, etc.) to improve code efficiency.
• Gathering and sequencing business and technical requirements.
• Troubleshooting and resolving complex data and processing issues.
• Integrating designed data analytics into a larger software ecosystem.
• Learning new methods, frameworks, and languages to ensure optimal solutions.
• Understanding and communicating complex technical solutions in the AML/KYC/EDD domain and evangelizing the riskCanvas solution to clients.

Qualifications we seek in you!

Minimum Qualifications

• Bachelor’s Degree or equivalent in Engineering, Computer Science, IT.
• Minimum of five years of experience in the IT industry.

Preferred Qualifications/ Skills

• Experience with Big Data & Data Analytics.
• Experience with Angular framework.
• Experience using distributed and parallel computing technologies, including Hadoop, MapReduce, and Spark, to write batch and streaming analytic processing jobs.
• Experience in XML, JSON.
• Experience with machine learning algorithms, statistics, operations research or data analysis.
• Experience implementing and demonstrating Elasticsearch or a similar indexer.
• Ability to learn quickly and work independently.
• Exemplary technical communications skills.
• Experience with git.
• Experience working in an agile environment.
• Experience working with other big data technologies (Kafka, Neo4J, Flink, Ignite, etc.).
• Experience with Linux operating systems.
• Experience with implementing rapid response query solutions on Big Data platforms, including indexing for combinations and variations of temporal, spatial, and textual data.
• Experience with relational databases, including SQL.
• Experience with exposing query and analytic capabilities as RESTful services.
• Experience with Scala, R.
• Experience teaching and leading technical conversations.
• Familiarity with visualization and user interface technologies.

Lead AI-first transformation – Build and scale AI solutions that redefine industries.

Make an impact – Drive change for global enterprises and solve business challenges that matter.

Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills.

Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace.

Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build.

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness—built on a foundation of integrity and inclusion—allow your ideas to fuel progress.

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together

"The approximate annual base compensation range for this position is $120,000 to $130,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors including but not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity."

Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please note that Genpact does not charge fees to process job applications, and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.