Software Engineer
Indexed description
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.
- 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.
- 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.
- 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.
- 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.
- 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.
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