Senior Software Engineer

Description: Hybrid At least 2 days per week in office in Irving, TX Our client seeks a Senior Software Engineer to design and deliver cloud-native data platforms that enable data-driven, omnichannel marketing. You will define engineering standards, set technical direction, and build secure, reliable systems across Java, Python, Spark, Angular, AWS, and event-driven architectures. You will collaborate with cross-functional stakeholders, own the software development lifecycle, and mentor engineers to ensure scalable, observable, and cost-effective solutions for Customer Data Platform initiatives. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $65.00/hr. w2 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems. Work across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases. Drive performance optimization, scalability, reliability, security, governance, and cost efficiency. Collaborate with global engineering, product management, architecture, and business stakeholders to align technical solutions with objectives. Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation. Experience Requirements: 5-8 years of software engineering with expertise in scalable UX-driven applications and distributed systems. Designing and building REST APIs, microservices, and Kubernetes-based distributed systems. Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs. Hands-on Python, Java, and Angular with knowledge of object-oriented and functional patterns. PySpark and Apache Spark for high-performance distributed data processing. Microservices development with Kubernetes for eventing and serving. AWS services including S3, Lambda, API Gateway, and EventBridge. Messaging and event-driven tech such as Kafka, SNS, SQS, plus relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis. Infrastructure as Code with Terraform and Ansible. CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, and GoCD with automated pipelines. Robust testing practices including unit, integration, and regression testing. Strong analytical skills for diagnosing and resolving complex technical problems. Exposure to Generative AI, including LLMs, RAG, and agentic systems. Nice to have: PySpark with Databricks, Azure and/or GCP, and experience in privacy-safe CDPs or MarTech environments. Education Requirements: B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field. #J-18808-Ljbffr