Software Systems Engineer

SOFTWARE SYSTEMS ENGINEER IIIPOSITION OVERVIEWWe are seeking an experienced Software Systems Engineer III to join our cloud data engineering team. This senior-level position requires a seasoned professional with over 10 years of software development experience who can architect and implement scalable data solutions using modern cloud technologies. You will lead the hands-on design and development of complex data pipelines, collaborating closely with engineers across multiple time zones and offshore teams to deliver high-quality, production-ready solutions.This role combines hands-on development with technical leadership, requiring expertise in Python, Spark, Azure Data Factory, Databricks, and cloud infrastructure. You will work in a fast-paced agile environment, contributing to sprint planning, code reviews, and continuous improvement initiatives while maintaining strong communication with distributed team members.RESPONSBILITIESDesign and build cloud-based data solutions, including the implementation and management of Azure infrastructure components such as Azure API Management (APIM), infrastructure as code, automated deployment pipelines, and monitoring systems, with a strong working understanding of Azure networking and security conceptsDesign, develop, and maintain enterprise-scale data processing pipelines using Apache Spark, Azure Data Factory, and Databricks platformsLead technical implementation of cloud-based data solutions, ensuring scalability, reliability, and performance optimization across distributed systemsCollaborate daily with offshore development teams across multiple time zones, facilitating knowledge transfer, code reviews, and technical discussions through effective communication channelsParticipate actively in agile ceremonies including sprint planning, daily standups, retrospectives, tech readiness, and backlog refinement to ensure continuous delivery of featuresMentor junior and mid-level engineers, providing technical guidance, conducting code reviews, and promoting engineering excellence across the teamParticipate in production support and incident response, troubleshooting complex issues, implementing corrective actions, and driving post-incident analysis to improve platform stability and reliabilityDocument technical designs, architecture decisions, and operational procedures to enable knowledge sharing across distributed teamsREQUIREDMinimum 8 years of professional software development experience with proven track record of delivering complex systems.Expert-level proficiency in Python programming for data engineering, including experience with data processing frameworks.Demonstrated experience with Azure Data Factory for building and orchestrating data integration workflows and ETL processes.Strong working knowledge of Databricks platform for collaborative data engineering and analytics workloads.Solid understanding of cloud engineering principles.Proven track record of successful collaboration with offshore and distributed team members across different time zones and cultures.Deep experience working in agile development environments with expertise in continuous integration, continuous delivery, and DevOps practices.Strong problem-solving abilities with experience troubleshooting production issues in distributed data systems.Excellent written and verbal communication skills for technical documentation and cross-functional collaboration.PREFERREDBachelor's or master's degree in computer science, software engineering, or related technical field.Familiarity with modern data architecture patterns including data lakes, data warehouses, and Lakehouse architectures.Experience with container orchestration platforms. Understanding of data governance, security, and compliance requirements in cloud environments.Certification in cloud platforms. Experience with infrastructure as code tools.Background in leading technical projects