Staff Software Engineer

Bachelor’s degree in Software, Electrical, or Mechanical Engineering, or related discipline
10+ years with object-oriented languages: Java, Scala, C++, Python, etc.
8+ years of experience leading engineering teams that develop both structured query and significant object-oriented analysis, design, and programming
At least 5 years of hands on experience with Big Data Tools: Spark, Kafka, Hadoop, etc.
5+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Proficient in using messaging such as RabbitMQ, Kafka/Pulsar
10+ years experience with SQL databases like PostgreSQL, MS SQL Server, Oracle
Experience working with Visual studio, Azure, and IntelliJ
Experience using SQL Server Management Studio, Visual Studio, IntelliJ, test tools, JUnit, Query analyzer, performance tuning, DevOps CI/CD pipeline, Jira, Github and Github actions
Real Time API for accessing Large Data from Cloud

Architecting, designing, and developing application platforms and leading junior developers, help with requirement analysis, design, implementing and testing software solutions to solve some of the most advanced technical challenges facing the industry.
Contribute to the full stack technology solution and drive the technical execution.
Work to solve difficult challenges in software engineering as the scale and suite of our applications grow.
Partner with key stakeholders in product management and manufacturing system teams to define strategy and requirements.
Lead cross functional development of new technology from design to deployment
Collaborate within your own team as well as other IT teams
Lead a team of software developers, including experienced to new college graduates.
Help and coach new college hires and team members with software development methodologies, architect solutions and build an innovative team around you.
Ability to tackle problems quickly and completely
Ability to identify tasks which require automation and automate them
A demonstrable understanding of networking/distributed computing environment concepts
Ability to multi-task and stay organized in a dynamic work environment
Solve challenging problems that will revolutionize device level analytics
Be involved in the fast growing, innovative technologies

Master’s degree in Electrical or Mechanical Engineering
3+ years of engineering experience developing in Azure or AWS or GCS experience and or Databricks cloud platform
7+ years industry experience as an Electrical, Mechanical or Software Engineer with experience in an agile environment
Performance Tuning and Optimization of Spark/Scala jobs
Leadership experience developing and testing cloud-based applications using Scala, PySpark
Ability to manage and lead multiple teams with autonomy and accountability for results