Principal Software Engineer designing, developing, and optimizing enterprise data solutions for WM. Leading complex projects and collaborating with cross - functional teams to align technical solutions with business needs.
About the role
- Senior Software Development Engineer contributing to vision AI solutions for top retailers. Collaborating with teams to develop features and drive technology decisions in a fast-paced environment.
Responsibilities
- Teaching and Sharing Culture:
- Share skills, knowledge, and expertise with members of the data engineering team.
- Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions.
- Design and Development:
- Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities.
- Ensure that the developed solutions meet project objectives and enhance user experience.
- Influence and Decision-Making:
- Have influence over the technology stack and internal technical improvements, contributing to strategic decision-making.
- Coding:
- Based on requirements and a longer-term product and feature strategy, design and implement reusable, testable, efficient, and elegant code.
- Ensure adherence to coding standards and best practices.
- Testing:
- Create, maintain, and run unit tests for new and existing applications and services.
- Aim to deliver defect-free and well-tested solutions.
- Data Analysis:
- Analyze and collect data from various sources such as log files, application stack traces, and thread dumps.
- Utilize data analysis to identify trends, patterns, and potential areas for improvement. Based on this, begin to implement changes.
- Continuous Integration and Continuous Deployment (CI/CD):
- Create and maintain CI/CD integration using various tools.
- Automate the build, test, and deployment processes to ensure efficiency and reliability.
- Integration of Third-Party Solutions:
- Research and propose third-party software solutions to optimize system performance.
- Expand product capabilities by integrating compatible third-party solutions.
- Monitor, update and tracking of third-party solutions' compatibility with Everseen stack according to internal development guidelines
- Monitoring and Troubleshooting:
- Monitor production logs to identify and troubleshoot issues promptly.
- Ensure seamless operation and timely resolution of any anomalies to maintain system reliability.
- Documentation:
- Responsible for creating, reviewing, and maintaining high-quality technical documentation to ensure clarity, consistency, and knowledge sharing within the development team.
Requirements
- 5+ years of work experience in a relevant role and global SaaS company
- Bachelors degree or equivalent focusing on the computer science field is preferred
- Excellent communication and cross-functional collaboration skills.
- Comfort working in ambiguous and fast-evolving environments.
- Expert knowledge of Python
- Experience with CI/CD tools (e.g., GitLab, Jenkins). Hands-on experience with Kubernetes, Docker, and cloud services.
- Understanding of ML training pipelines, data lifecycle, and model serving concepts
- Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML).
- A demonstrated understanding of the ML lifecycle, model versioning, and monitoring.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch)
- GPU orchestration (e.g., NVIDIA GPU Operator, MIG),
- Infrastructure as Code (e.g., Terraform).
- Data engineering tools (e.g., Snowflake, Databricks, BigQuery, Airbyte, Kafka)
- Familiarity with feature stores and model registries. Exposure to large-scale distributed systems and performance optimisation.
- Ability to work with Linux systems, including troubleshooting skills such as log investigations, performance testing, and connectivity investigation.
Benefits
- A safe, inclusive workplace
- Opportunities to grow careers
- Diverse global workforce
Job title
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Salary
Not specified
Degree requirement
Tech skills
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