Senior Software Engineer- Python

ractices.

• Build and optimize data processing workflows using Python/SQL for large-scale industrial datasets from historians, SCADA, APM, CMMS/EAM, and telemetry systems.

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

• Implement tagging, signal mapping, and data integration logic for analytics-related asset workflows at the APM level (without mentioning any specific project/tool names).

Cloud Deployment & DevOps

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

• Collaborate with orchestrator/platform engineering teams to integrate services, automate deployments, manage environments, and ensure system resilience.

• Establish CI/CD pipelines, environment strategies (dev/test/prod), and automated testing frameworks for smooth releases.

• Ensure robust monitoring, logging, alerting, and performance tuning of deployed services.

End-to-End Ownership

• Serve as the primary technical owner of the software solution throughout its lifecycle-from architecture and development to production deployment and ongoing support.

• Collaborate with domain SMEs, data scientists, and product staff to understand requirements and translate analytical workflows into production-ready applications.

• Lead debugging, optimization, and continuous improvement efforts, handling high-priority issues with a root-cause-driven approach.

• Ensure security, scalability, and reliability standards are met across the full stack.

Collaboration, Documentation & Quality

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

• Produce clear technical documentation, deployment guides, API specs, and architectural diagrams.

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

• Participate in cross-functional meetings, technical planning sessions, and provide mentoring/support to junior engineers.

Innovation & Continuous Improvement

• Contribute to POCs that explore automation, orchestration efficiency, API optimization, and integration enhancements.

• Experiment with new tooling, cloud-native components, and architectural patterns to improve performance and reliability.

• Actively identify opportunities to reduce manual intervention through orchestration, automation, and configuration-driven workflows.

Required Skills & Experience

• 5-8+ 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 microservice architecture.

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

• Exposure to front-end development (React/Angular/Vue or lightweight UI frameworks).

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

• Ability to work with orchestrator teams, manage deployments, troubleshoot cloud-native services, and lead solution implementation end-to-end.

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

• Excellent communication, technical documentation, and cross-functional collaboration skills.

Education Qualification

• Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.

Additional Information

Relocation Assistance Provided: Yes