Senior Software Engineer

Dallas, TX, US • Posted 7 hours ago • Updated 35 minutes ago
Contract W2
On-site
DOE
Fitment

Dice Job Match Score™

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Job Details

Skills

  • TypeScript
  • JavaScript
  • SQL
  • Data Processing
  • Performance Tuning
  • Scalability
  • Information Security Governance
  • Product Management
  • Software Development
  • Software Design
  • Documentation
  • Terraform
  • Ansible
  • Regression Testing
  • Analytical Skill
  • Critical Thinking
  • Collaboration
  • Accountability
  • Innovation
  • Java
  • Python
  • Apache Spark
  • AngularJS
  • Kubernetes
  • RESTful
  • Apache Kafka
  • Amazon Web Services
  • Messaging
  • Amazon SQS
  • NoSQL
  • Database
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Data Warehouse
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • PySpark
  • Databricks
  • Systems Architecture
  • Microservices
  • Data Lake
  • OOD
  • Mentorship
  • Coaching
  • Requirements Elicitation
  • Technical Writing
  • Stakeholder Management
  • IT Management
  • Root Cause Analysis
  • Test Strategy
  • Generative Artificial Intelligence (AI)
  • Privacy
  • SAFE

Summary

Key Responsibilities
Design and deliver large-scale cloud-native data platforms primarily on AWS using REST APIs, microservices, and event-driven architectures
Work hands-on across Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, SQL/NoSQL databases, and distributed systems
Build scalable and resilient REST APIs, microservices, and distributed applications
Design and implement high-performance distributed data processing solutions using Apache Spark and PySpark
Lead technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency
Partner with engineering, product management, architecture, and business stakeholders to align technical solutions with strategic objectives
Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation
Develop and maintain data platforms leveraging Data Warehousing, Data Lakes, and Delta Lake architectures
Implement event-driven applications and messaging solutions using Kafka, SNS, and SQS
Design and maintain containerized microservices using Kubernetes
Implement Infrastructure as Code using Terraform and Ansible
Develop and maintain CI/CD pipelines and automated deployment processes
Implement robust unit, integration, and regression testing strategies
Troubleshoot and resolve complex technical issues using strong analytical and critical-thinking skills
Mentor and guide junior engineers while promoting technical excellence, collaboration, accountability, and innovation

Required Qualifications
8+ years of experience
B.E.
B.Tech
M.Tech
MCA
Bachelor's Degree in Computer Science, Information Technology, or a related field

Skills
Java
Python
Apache Spark
PySpark
Angular
Kubernetes
REST API Development
AWS Cloud Services
Kafka
AWS Messaging Services (SNS, SQS)
Relational and NoSQL Databases
Infrastructure as Code
CI/CD and DevOps Practices
Data Warehousing
Cloud Platforms (Azure/Google Cloud Platform)
PySpark with Databricks
Distributed Systems Architecture
Microservices Architecture
Event-Driven Architecture
Data Lake Architecture
Object-Oriented Design Patterns
Mentoring and Coaching
Requirements Gathering
Technical Documentation
Stakeholder Management
Technical Leadership
Troubleshooting and Root Cause Analysis
Test Strategy Implementation
Generative AI Exposure
Privacy-Safe Data Platform Experience

Schedule
Start date: 2026-09-23
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: compun
  • Position Id: MALDC5907079
  • Posted 7 hours ago
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