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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining automation architectures, integrating SCADA and MES platforms, and developing scalable control strategies for manufacturing processes. Proficient in Python, database administration, and deploying machine learning solutions in production environments.
Highest-signal resume keywords
PLC ProgrammingSCADA Platform ExpertisePython ProficiencyDatabase AdministrationOT/IT Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Automation Architecture DesignControl System DesignREST API DevelopmentMachine Learning DeploymentData ProcessingPerformance TuningSchema DesignHigh-Speed Manufacturing ProcessesEdge AI SolutionsVersioning and Lifecycle Management
Soft Skills
MentoringCollaborationTechnical Leadership
Tools & Technologies
IgnitionAWSNutanixVMwarePostgreSQLMS SQLSnowflakeLinuxContainerized ServicesHybrid Infrastructure
Industry Keywords
Industrial AutomationControls EngineeringManufacturing SystemsCybersecurityData ReliabilityOperational Efficiency
Tech Stack
Tools & technologiesAWSCloudCyber SecurityLinuxPostgresPythonSQLVMware
About the role
Key responsibilities & impact- Design and maintain end-to-end automation architectures spanning PLCs, drives, motion systems, and safety-critical control environments
- Develop scalable control strategies for high-speed and continuous manufacturing processes
- Define standards and best practices for control system design, versioning, testing, and lifecycle management
- Architect, support, and evolve SCADA and MES platforms, with deep expertise in Ignition-based systems
- Design and maintain tag models, historian strategies, alarming frameworks, and visualization standards
- Ensure high availability, performance, and maintainability of plant-floor data systems
- Establish consistent data models and interfaces between SCADA/MES and enterprise analytics platforms
- Develop and publish REST APIs and build and document OpenAPI 3.0.0 specifications using the Ignition WebDev Module
- Integrate plant-floor systems with enterprise databases and analytics platforms, including Snowflake
- Design and support secure OT/IT data pipelines leveraging AWS services and hybrid architectures
- Collaborate with infrastructure teams supporting AWS, Nutanix-based, and VMware-based environments
- Support Linux-based edge systems, containerized services, and automation-related infrastructure
- Align automation systems with enterprise security, networking, and infrastructure standards
- Provide database administration for PostgreSQL and MS SQL, including schema design, performance tuning, backup/recovery, and data integrity
- Design and deploy edge AI and machine learning inference pipelines for manufacturing use cases
- Develop and maintain Python-based services for data processing, feature extraction, and model inference
- Serve as a technical escalation point for complex automation, data, performance, and integration issues
- Lead technical design reviews and influence platform, architecture, and vendor decisions
- Mentor engineers and provide guidance on advanced automation, SCADA, data, and edge AI topics
- Translate manufacturing, quality, and operational requirements into scalable technical solutions
- Drive continuous improvement initiatives that increase system uptime, data reliability, and operational efficiency
Requirements
What you’ll need- Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
- 10+ years of experience in industrial automation, controls engineering, or manufacturing systems
- Strong expertise in PLC programming, industrial networking, drives, and motion control
- Advanced experience with SCADA platforms, particularly Ignition
- Proficiency in Python for automation, data processing, and system integration
- Experience with relational databases and database administration in manufacturing environments
- Hands-on experience with Linux and Microsoft OS on hybrid infrastructure environments
- Strong understanding of OT/IT integration, cybersecurity considerations, and system reliability
- Experience deploying machine learning or edge AI solutions in production manufacturing environments
- Familiarity with Snowflake or similar enterprise analytics platforms
- Experience with Nutanix, AWS, or VMware infrastructure in hybrid cloud/on-prem deployments
- Familiarity with containerized workloads and edge computing architectures
- Experience with high-speed, continuous, or tightly tolerance manufacturing processes
- Background in designing enterprise-scale automation, SCADA, or MES platforms
- Experience influencing technical strategy across multiple sites or cross-functional teams
Benefits
Comp & perks- Competitive pay
- Great benefits package
- Opportunity to join a successful, family-oriented team
- Continuous improvement and professional growth opportunities