Job Description Summary

The Software Engineer supports the design, development, deployment, and maintenance of industrial analytics solutions. In this role, you will work with data scientists, SMEs, and domain experts to help translate analytical logic into scalable, secure, and reliable production systems. The position focuses on building backend services and pipelines on AWS (including EKS), integrating with orchestrators, developing REST APIs, and supporting UI components. Familiarity with industrial operations (Oil & Gas, Fossil Power, Renewable Power) and asset performance systems is a plus.

Job Description

Roles and Responsibilities

Platform & Application Development

• Develop and maintain scalable backend services and REST APIs in Python, following clean code practices and software engineering standards.
• Build and optimize data 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