Sr. Full Stack Engineer

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.