Note: The job is a remote job and is open to candidates in USA. Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years. They are seeking a Software Engineer - Python/Java to deliver large-scale cloud-native data platforms and lead technical initiatives while collaborating with various stakeholders.
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
- Lead product wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency
- Partner 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
- Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence
Skills
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field
- 8-10 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
- Expertise in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions
- Solid depth in Micro-services development with Kubernetes containerization for eventing and serving
- Extensive 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
- Strong 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 to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems
- 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
Benefits
- Hybrid from Chicago, IL
- Fulltime Opportunity.
Company Overview
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