• Build, enhance and maintain the NedGraphics and Optitex Cloud products • Design, build, and maintain serverless backends on AWS (Lambda, API Gateway, DynamoDB/RDS, S3, SQS/SNS). • Implement secure, well-versioned REST APIs and event-driven workflows (EventBridge/Step Functions). • Develop automated testing frameworks (unit/integration). • Optimize performance (cold-start reduction, concurrency optimization, caching, CDN via CloudFront). • Enforce security best practices (IAM policies, Secrets Manager/Parameter Store, KMS). • Build reliable integrations with third-party APIs and internal services. • Produce technical documentation and developer-friendly API specifications.

• Own the technical pre-sales process for Enterprise customers. • Partner closely with Account Executives to address customer security challenges. • Lead technical discovery and deliver tailored product demonstrations. • Validate technical requirements and guide customers through security and procurement processes. • Collaborate cross-functionally with Sales, Customer Success, and Product Marketing to secure complex enterprise opportunities.

Role Description This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are seeking an experienced Senior Python Developer to design, build, and continuously enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture, data engineering, and operational support, and will partner closely with product, data, and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes, identify root causes of complex issues, and proactively raise the engineering bar across the team. Key Responsibilities - Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications. - Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems. - Produce architecture and design artifacts for complex applications, ensuring adherence to defined design constraints and performance requirements. - Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, and performance tuning. - Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes. - Develop reporting mechanisms, dashboards, and data visualizations to support operational insights. - Identify hidden defects, performance bottlenecks, and architectural weaknesses, implementing improvements to coding standards and system reliability. - Contribute to engineering best practices, conduct thorough peer code reviews, and mentor less-senior engineers. - Participate fully in Agile development cycles and CI/CD processes, ensuring consistent and stable deployments. - Collaborate closely with cross-functional stakeholders to clarify requirements and translate them into scalable technical solutions. - Support operational stability through structured incident response, debugging, log analysis, and post-incident reviews. Qualifications - 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. - Strong experience building and maintaining large-scale production applications with significant uptime and reliability requirements. - Hands-on experience with relational database systems such as Oracle, MS SQL Server, PostgreSQL, or Sybase. - Strong understanding of the full software development lifecycle (SDLC). - Proven hands-on experience across system design, application development, automated testing, and operational support. - Strong working knowledge of data structures, algorithms, and computational efficiency. - Demonstrated experience debugging and maintaining complex, enterprise-level applications in production. - Solid understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards. - Ability to manage multiple concurrent projects in dynamic environments while keeping stakeholders informed. - Strong written and verbal communication skills, with experience collaborating with both technical and business teams. Preferred Qualifications - Strong shell scripting skills in UNIX/Linux environments. - Solid grounding in mathematical and statistical concepts. - Hands-on experience with the Python data and ML ecosystem, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch. - Working exposure to AWS cloud services and cloud-native storage technologies such as S3, RDS, DynamoDB, and Glue. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination.

• Own the health of Heidi's strategic enterprise accounts (BILH, Franciscan, and others), including building and maintaining account health dashboards. • Respond to session-loss and integration incidents against a sub-2-hour initial response target, and help define realistic SLAs across incident severities. • Identify recurring failure patterns and drive the architectural improvements that fix root causes — not repeated surface-level patches. • Build systems that live inside clinical workflows: shape how Heidi integrates with the EHRs that run American healthcare, so integrations feel native rather than bolted on. • Turn clinical and billing complexity — payer constraints, compliance requirements, health-system-specific rules — into systems that absorb that complexity so clinicians never see it. • Write clean, testable, observable code for workflows that clinicians, operators, and downstream systems depend on. • Own outcomes, not just code: care whether what you build actually reduces churn risk and improves account health, not just whether it technically works. • Ship agentic workflow functionality — AI-assisted extraction, reconciliation, and drafting — with human review, auditability, and clear controls. • Partner closely with the GTM and Enterprise account teams during US business hours, since our largest customers depend on real-time coverage rather than a 24-hour turnaround. • Operate independently while looping in the NA Regional Integration TL on roadmap, prioritization, and cross-initiative dependencies.