Senior Backend Developer – Python

Bright Vision Technologies•Alpharetta, GA

2d•$100,000 - $150,000•Remote

About The Position

Bright Vision Technologies is seeking a Senior Backend Developer – Python for a full-time, direct W2, 100% remote position in the continental United States. This is an in-house Bright Vision Technologies Statement of Work engagement, with no third-party client, vendor, or implementation partner. The long-term, multi-year role contributes to the company’s SOW delivery roadmap. The salary range is $100,000 to $150,000 per year, with competitive base compensation commensurate with experience plus benefits. New H1B sponsorship may be available for qualified candidates, and H1B transfers are welcomed. A technical coding assessment is mandatory. The role is a hands-on engineering position focused on designing, building, troubleshooting, and continuously enhancing complex enterprise-grade Python applications, data-intensive services, and automation platforms. The developer will deliver secure, high-performance systems that operate reliably in distributed and mission-critical production environments. The position partners with product, data, and infrastructure teams to translate business needs into technical solutions, address root causes of complex issues, and improve engineering practices and system reliability.

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, Microsoft SQL Server, PostgreSQL, or Sybase, including query tuning and schema design.
Strong understanding of the full software development lifecycle, including requirements, design, build, test, release, and ongoing support.
Hands-on experience in system design, application development, automated testing, and operational support.
Strong knowledge of data structures, algorithms, and computational efficiency, with sound design trade-off judgment.
Experience debugging and maintaining complex enterprise-level applications in production.
Understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards.
Ability to manage multiple concurrent projects in changing environments while keeping stakeholders informed.
Strong written and verbal communication skills and experience collaborating with technical and business teams.
Willingness to work directly as a full-time W2 employee of Bright Vision Technologies; C2C, 1099, and third-party arrangements are not accepted.
Confidence in technical abilities and hands-on experience, as a technical coding assessment is mandatory.

Nice To Haves

Strong shell scripting skills in UNIX/Linux environments and comfort with command-line tooling.
Grounding in mathematical and statistical concepts and ability to translate them into code.
Hands-on experience with Python data and machine learning libraries, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch.
Exposure to AWS services and cloud-native storage technologies such as S3, RDS, DynamoDB, and Glue.
Eligibility for new H1B sponsorship or a need for an H1B transfer; qualified candidates may be considered.

Responsibilities

Design, develop, and provide advanced technical troubleshooting for complex enterprise-grade Python applications.
Write secure, high-quality, production-ready Python code and implement algorithms for distributed systems, considering concurrency, fault tolerance, and observability.
Produce architecture and design artifacts and ensure development adheres to design constraints, performance requirements, and enterprise standards.
Develop and optimize data processing for large-scale datasets, including extraction, transformation, validation, deduplication, enrichment, and performance tuning for batch and near-real-time workloads.
Analyze large and diverse datasets to identify insights that improve applications and business processes, including product, reliability, or cost outcomes.
Develop reporting mechanisms, dashboards, and data visualizations to support operational insights where required.
Identify defects, performance bottlenecks, and architectural weaknesses, and improve coding standards, reliability, and maintainability.
Contribute to engineering best practices, conduct peer code reviews, participate in architectural discussions, and mentor less-senior engineers.
Participate in Agile development and CI/CD processes, supporting stable deployments with suitable testing, rollback, and monitoring strategies.
Collaborate with product managers, data scientists, operations engineers, and business analysts to clarify requirements and develop scalable solutions.
Support operational stability through incident response, debugging, log analysis, post-incident reviews, and preventative measures.