Sr. Full Stack Engineer

Intone Inc; Dallas (TX); Hybrid; USD 96,000 - 152,000; Full time

Job summary

Intone Inc. is seeking a Senior Full Stack Engineer for a 6+ month contract in the Dallas–Fort Worth area. You will design and deliver cloud-native data platforms on AWS, working across the full tech stack to build scalable, resilient systems.

You will use Java, Python, Spark, TypeScript, Angular, and AWS services to solve complex engineering challenges, drive performance, and ensure platform excellence while collaborating with global teams.

Qualifications

• 5–8 years of software engineering experience with scalable, UX-driven apps.
• Proven experience designing scalable REST APIs, microservices, Kubernetes.
• Data Warehousing, Data Lakes, Delta Lake architecture experience.
• Strong Python, Java, and Angular skills.
• Experience with AWS services (S3, Lambda, API Gateway, EventBridge).
• Familiarity with CI/CD and IaC tools (Terraform, Ansible, etc.).
• Understanding of distributed systems and event-driven architectures.

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS leveraging REST APIs, microservices, and event-driven apps.
• Work hands-on across stack: Java, Python, Spark, TypeScript, Angular, AWS, SQL/NoSQL databases.
• Drive performance, scalability, reliability, security, governance, and cost efficiency.
• Collaborate with global engineering, product, architecture, and stakeholders to align solutions with business goals.
• Own end-to-end SDLC from requirements, design, development, deployment to observability and documentation.

Skills

Java

Python

Angular

TypeScript

Spark

AWS

Kubernetes

REST APIs

Microservices

SQL/NoSQL

Data Warehousing

Terraform

CI/CD

GCP

Azure

Education

B.E./B.Tech/M.Tech/MCA in CS/IT

Tools

Terraform

CI/CD Tools

Job description

We are seeking a Senior Full Stack Engineer for a contract position (6+ months) based in the Dallas-Fort Worth, Texas area. In this role, you will design and deliver large-scale, cloud-native data platforms on AWS, working across the full technology stack to build highly scalable and resilient systems.

Responsibilities

• Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, microservices, and event-driven applications to build highly scalable and resilient systems.
• Work hands-on across the technology stack—including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases—to solve complex engineering challenges and maintain platform excellence.
• Drive performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Collaborate and develop closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives.
• Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.

Qualifications

• Required
  • B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
  • 5–8 years of strong software engineering experience, with deep expertise in building scalable UX-driven applications and distributed systems architecture.
  • Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
  • Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
  • Strong hands-on expertise in Python, Java, and Angular; well-versed with object-oriented design patterns and functional programming.
  • Experience in PySpark and Apache Spark, with proven experience building high-performance distributed data processing solutions.
  • Depth in microservices development with Kubernetes containerization for eventing and serving.
  • Experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
  • Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS.
  • Solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
  • Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
  • Understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
  • Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
  • Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
  • Exposure and awareness of Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.
• Preferred
  • Working knowledge of PySpark with Databricks.
  • Experience working with Azure and/or Google Cloud Platform (GCP).
  • Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments.