Senior Backend Engineer: Big Data, AWS & AI Platform

Unisys

Rockville (MD)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Unisys is hiring for a senior software engineer to design, develop, test, and support distributed microservices and big-data solutions. You’ll work within an Agile team using Hadoop, Spark, Presto, and Hive to build scalable data platforms on AWS, enabling rapid access to vast financial datasets.

You will partner with cross-functional teams to gather requirements, craft robust API platforms, and apply AI tools to boost development efficiency and code quality while adhering to best practices and

Qualifications

Bachelor’s degree in computer science, Information Technology, Engineering, or related technical field.
8+ years of professional software engineering experience with demonstrated leadership capabilities.
2+ years developing REST/web services and writing complex SQL queries for relational databases.
3+ years working with big data technologies such as Hadoop, Spark, or Presto.
Proven experience with AWS services including EMR (Hive/Presto), ECS, Lambda, and S3.
Proficiency with DevOps practices and CI/CD pipelines using tools like Jenkins and CloudFormation.
Working knowledge of scripting languages including Unix Shell or Python.
Experience using LLM-based coding tools with a disciplined approach to validating output — you don't merge what you can't explain.

Responsibilities

Design, develop, test, implement, and support technical solutions within an Agile development environment, utilizing distributed microservices architecture, big-data technologies (HIVE, Presto, Spark, Hadoop), and full-stack systems.
Partner with cross-functional teams to understand application requirements and testing scenarios, delivering scalable technical solutions that meet business objectives.
Build and maintain high-performance API platforms on AWS infrastructure, enabling interactive-speed access to big data while adhering to AWS Well-Architected Framework principles.
Leverage AI tools and technologies to enhance development efficiency, code quality, and solution innovation throughout the software development lifecycle.
Drive technical innovation by staying current with emerging technology trends, including AI/ML advancements, evaluating new tools and frameworks, and actively contributing to internal and external technology communities.
Demonstrate a growth mindset, take ownership of deliverables, maintain customer-centric focus, and exercise sound technical judgment in decision-making.