Senior Backend Developer – Python
B
Bright Vision TechnologiesEnterprise software
100% Remote (Continental United States)Full-TimeSenior
Salary100,000 - 150,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonMicrosoft SQL ServerOraclePandasCI/CDAgile methodologies
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Five or more years of applied Python development experience in enterprise-grade environments.
- Experience building and maintaining large-scale production applications with significant uptime and reliability requirements.
- Hands-on experience with relational databases such as Oracle, MS SQL Server, PostgreSQL, or Sybase, including query tuning and schema design.
- Strong understanding of the software development lifecycle, including requirements, design, build, test, release, and ongoing support.
- Hands-on experience with system design, application development, automated testing, and operational support.
- Knowledge of data structures, algorithms, and computational efficiency.
- Experience debugging and maintaining complex enterprise applications in production.
- Understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards.
- Ability to manage concurrent projects and keep stakeholders informed.
- Strong written and verbal communication skills and experience working with technical and business teams.
- Preferred: UNIX/Linux shell scripting and command-line tooling.
- Preferred: Python data and ML tools including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch.
- Preferred: Exposure to AWS services and cloud storage technologies including S3, RDS, DynamoDB, and Glue.
Responsibilities
- Design, develop, and troubleshoot complex enterprise-grade Python applications.
- Build production-ready Python systems for distributed environments, considering concurrency, fault tolerance, and observability.
- Create architecture and design artifacts and ensure development adheres to design constraints and performance requirements.
- Develop and optimize data-processing logic for large datasets and batch or near-real-time workloads.
- Build reporting mechanisms, dashboards, and data visualizations to support operational insights.
- Identify defects, performance bottlenecks, and architectural weaknesses, and improve reliability and maintainability.
- Conduct peer code reviews, contribute to engineering practices, and mentor less-senior engineers.
- Participate in Agile and CI/CD processes, including testing, deployment, rollback, and monitoring.
- Collaborate with product managers, data scientists, operations engineers, and business analysts to translate requirements into technical solutions.
- Support production stability through incident response, debugging, log analysis, and post-incident reviews.
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