Senior Python Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python Developer based in the United States.

This role offers the opportunity to work on complex, enterprise-grade systems that power automation, data processing, and large-scale digital operations. You will be deeply involved in designing and building high-performance Python applications that run in distributed, production-critical environments. The work is highly hands-on and technical, requiring strong problem-solving skills and the ability to go beyond surface-level fixes to identify and resolve root causes of system challenges. You will collaborate closely with cross-functional teams including product, data, and infrastructure specialists to translate business needs into scalable technical solutions. The environment is fast-moving, engineering-driven, and focused on reliability, scalability, and continuous improvement. This position is ideal for someone who enjoys tackling complex architectural problems and raising engineering standards across teams.

Accountabilities:

• Lead the end-to-end design, development, and troubleshooting of enterprise-grade Python applications, solving complex and non-trivial engineering challenges.
• Build secure, scalable, and high-performance Python-based systems with strong attention to concurrency, fault tolerance, and observability in distributed environments.
• Design application architectures and ensure adherence to engineering standards, performance requirements, and long-term maintainability principles.
• Develop and optimize large-scale data processing workflows, including extraction, transformation, validation, enrichment, and performance tuning.
• Analyze complex datasets to generate actionable insights that improve system performance, reliability, and business outcomes.
• Contribute to CI/CD pipelines, Agile workflows, peer code reviews, and incident response processes to ensure production stability and continuous delivery.
• Collaborate with cross-functional teams to translate business requirements into robust, scalable technical implementations.

Requirements:

• 5+ years of professional Python development experience in enterprise or production-grade environments.
• Strong background in system design, distributed applications, and building highly reliable, large-scale software systems.
• Hands-on experience with relational databases such as PostgreSQL, Oracle, SQL Server, or similar, including schema design and query optimization.
• Strong understanding of algorithms, data structures, and software engineering fundamentals, with the ability to make sound architectural trade-offs.
• Experience across the full SDLC, including development, testing, deployment, monitoring, and operational support.
• Familiarity with Agile methodologies, CI/CD practices, secure coding standards, and production debugging.
• Strong communication skills with the ability to work effectively across technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Preferred: experience with AWS, Linux/UNIX scripting, and Python data/ML libraries such as Pandas, NumPy, or Scikit-learn.

Benefits:

• Competitive annual salary range of $100,000 to $150,000 (based on experience)
• 100% remote work within the United States
• Full-time W2 direct employment (no C2C, 1099, or third-party arrangements)
• Long-term, stable engagement aligned with multi-year delivery roadmap
• Health benefits package (medical, dental, vision coverage)
• Opportunity for H1B sponsorship and transfers for qualified candidates
• Career growth within enterprise-scale engineering initiatives
• Equal opportunity workplace with a strong focus on diversity and inclusion

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.