Senior Software Engineer

Need Local profile who stay in Chicago, IL or nearby area

Responsibilities:

• Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, micro services 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:

• 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, Angular and 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 Micro-services 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, along with 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 about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems. 

Nice to have:

• Working knowledge of PySpark with Databricks. 
• Experience working with Azure and/or Google Cloud Platform (Google Cloud Platform). 
• Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments.