Software Engineer

ta processing workflows using Python/SQL for industrial datasets from historians, SCADA, APM, CMMS/EAM, and telemetry systems.

• Develop and support lightweight frontend/UI components for visualization, configuration, and user interaction.

• Implement tagging, signal mapping, and data integration logic for analytics-related asset workflows at the APM level.

Cloud Deployment & DevOps

• Support deployment of analytics services and microservices on AWS using EKS, EC2, S3, Lambda, RDS, and related cloud services.

• Work with orchestrator/platform engineering teams to integrate services, automate deployments, and support system stability.

• Contribute to CI/CD pipelines, environment setup (dev/test/prod), and automated testing processes.

• Assist with monitoring, logging, alerting, and performance tuning of deployed services.

Solution Delivery & Support

• Contribute to software solution delivery across the lifecycle, including development, testing, deployment, and support.

• Collaborate with domain SMEs, data scientists, and product teams to understand requirements and implement production-ready applications.

• Support debugging, issue resolution, optimization, and continuous improvement activities.

• Help ensure security, scalability, and reliability standards are met across developed components.

Collaboration, Documentation & Quality

• Work with data/platform engineering teams to support data quality, lineage, interoperability, and system compatibility.

• Prepare technical documentation, deployment guides, API specifications, and support architectural documentation.

• Follow code quality standards using version control, code reviews, automated testing, and software design best practices.

• Participate in technical discussions, planning sessions, and cross-functional team meetings.

Innovation & Continuous Improvement

• Contribute to POCs exploring automation, orchestration improvements, API optimization, and integration enhancements.

• Explore new tools, cloud-native services, and architectural approaches to improve performance and reliability.

• Identify opportunities to reduce manual effort through automation and configuration-driven workflows.

Required Skills & Experience

• 3-5+ years of hands-on software engineering experience, ideally in industrial analytics, cloud engineering, or platform development.

• Strong proficiency in Python, SQL, REST API development, and backend service development.

• Experience deploying applications on AWS, including EKS/Kubernetes, containers, IAM, networking, logging, monitoring, and security fundamentals.

• Exposure to frontend development using React, Angular, Vue, or similar lightweight UI frameworks.

• Understanding of ETL/data ingestion from industrial systems (historians, SCADA, APM, CMMS/EAM) is a plus.

• Ability to work with orchestrator teams, support deployments, troubleshoot cloud-native services, and contribute to end-to-end implementation.

• Knowledge of asset-heavy domains (Oil & Gas, Power Generation, Renewable, LNG) and maintenance/operations workflows is advantageous.

• Good communication, technical documentation, and collaboration skills.

Additional Information

Relocation Assistance Provided: Yes