Senior Software Engineer I (Java)

Inductive Automation is a company dedicated to industrial automation innovation, seeking a Senior Software Engineer I (Java) to create and maintain software products. The role involves managing the entire lifecycle of projects, enhancing code quality, and collaborating with teams to solve engineering challenges.

Responsibilities:

• Independently responsible for the entire lifecycle of projects or features including engineering design, development, and deployment
• Improving code structure and architecture in service of testability and maintainability
• Writing, co-writing, and reviewing design documentation
• Maintaining high proficiency in one or more technical areas
• Prioritizing and valuing unowned or undesirable work that enables the team to move faster
• Ensuring work meets quality standard
• Working with their team and adjacent teams to solve problems
• Escalating problems that have wider scope
• Assisting and teaching other engineers on an individual basis
• Completing thoughtful and constructive code reviews in a timely manner
• Responsible for one or more product areas or other IC leadership role (Product Lead, Scrum Master)

Requirements:

• 3-5 years of software engineering or software development experience, preferably in a related field
• A comprehensive understanding of computer science concepts and ability to apply expertise in object-oriented design, multi-threaded architecture, data structures, algorithms, and cybersecurity
• Hands-on programming experience using relevant languages (Java and/or Typescript)
• Experience using relevant tool suites. (IntelliJ or equivalent, Git, Webpack)
• Proficiency in SQL or a relational database (querying, schema design, stored procedures)
• Experience ingesting data at scale (high-volume, high-frequency, or streaming data pipelines)
• Creative problem-solving skills
• Passionate about building applications that delight users
• Strong written and verbal communication and interpersonal skills
• Experience working on a team using agile methodologies
• Proper utilization of programming concepts to support highly responsive and performant applications, including concurrency and multi-threading
• Familiarity with time-series data concepts (compression, interpolation, aggregation, deadband)
• Knowledge of industrial data standards (OPC-DA, OPC-UA, MQTT, Modbus)
• Experience writing historian connectors, adapters, or APIs
• Background in data pipeline or ETL development for operational data