Senior Backend Engineer

Unisys; Rockville (MD); On-site; USD 150,000 - 210,000; Full time

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.

Skills

Leadership

REST/web services

SQL queries

Big data technologies

AWS services

DevOps / CI-CD

Scripting (Unix Shell / Python)

LLM-based coding tools

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Hadoop

Spark

Presto

Hive

Jenkins

CloudFormation

Python

Unix Shell

Job description

Where we work: Our AWS partnered analytics organization owns the world’s biggest financial data store and runs continuous analytics on global stock data movement. Our mission is to ensure investor protection and market integrity. We are constantly working on how to “hack/break” market systems with the goal of being ahead of potential bad actors in the market.

• Leading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithms
• We work on the world’s largest financial store (21 petabytes when complete). There is no other comparable opportunity in the market. We look at 130 billion financial transactions every day. That's more than Twitter, Visa®, PayPal and Facebook combined
• Google, Amazon, Facebook & other tech icons follow the client as a model and recruiting base
• Amazon Web Services- select Partner: We use cloud computing to automate and store massive amounts of data

Multiple Locations: Rockville, MD| Tysons Corner/McLean, VA| Washington, DC | Jericho, NY| New York, NY| Jersey City, NJ and Woodbridge, NJ| Philadelphia PA| Boston, MA| Boca Raton, FL| Chicago, IL| Dallas, TX| Denver, CO| Los Angeles, CA| San Francisco, CA|

Long term

Backend 3 years Big Data+ can think through/solve prod issues and how to optimize performance

Musts:

• Ballpark 3 years big data/Spark
• AWS
• Ability to do production support, think through how to optimize performance

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

Required 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