Hybrid Senior Software Development Engineer

at Everseen

• Job title: Senior Software Development Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Azure, BigQuery, Cloud, Distributed Systems, Docker, Jenkins, Kafka, Kubernetes, Linux, Python, PyTorch, Ray, Tensorflow, Terraform
• Location requirements: Hybrid, Belgrade, Serbia

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