Top Senior Python Jobs

Lead and deliver secure, scalable data and AI/ML systems (including LLM-based and agentic architectures) for enterprise KYC and risk platforms. Define architecture and engineering standards, mentor engineers, drive AI-assisted development adoption, ensure observability, governance, and operational stability across cloud-native data platforms.

Lead design, development, and delivery of secure, scalable AI-enabled applications. Produce production-quality Python code, drive AI-assisted engineering practices, automate reliability fixes, evaluate models and vendors, and coach teams on responsible AI, secure coding, CI/CD, and cloud-native operations.

Lead and mentor data engineering teams to design, build, and operate a secure, scalable KYC and risk-assessment data platform. Develop production code for data-intensive systems, set architecture and engineering standards, govern LLM-based applications and agentic AI, drive adoption of AI-assisted development practices, ensure observability, security, and cloud-native operations, and advise cross-functional stakeholders.

Lead design and develop scalable microservices-based applications using Java and Python. Build event-driven systems with Kafka, implement RESTful APIs, CI/CD pipelines, and integrate Azure AI/Generative AI capabilities. Provide technical leadership, code reviews, documentation, and mentor team members while applying DDD and security best practices.

Lead an agile team to design, build, and deliver cloud-native, microservices-based applications. Drive adoption of AI-assisted engineering, ensure scalable, resilient, secure solutions, mentor engineers, and resolve production issues.

Hands-on lead developer responsible for designing, building, and operating cloud-native, secure, high-quality software. Drives engineering standards, mentors peers, adopts approved AI-assisted tools responsibly, automates remediation, and leads vendor/architecture evaluations.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Lead development of API-driven network automation and frameworks using Python and automation tools. Translate manual procedures into secure, maintainable automation, collaborate with network and platform teams, and apply AI-assisted development responsibly to accelerate design, testing, and troubleshooting.

Lead a diverse team projects focusing on full stack systems and cloud solutions, while mentoring engineers and collaborating with product managers to deliver technological solutions.

Design and build scalable, low-latency Python microservices and gRPC/REST APIs using Protobuf; optimize backend performance with AsyncIO, caching, and DB tuning; containerize and deploy with Docker and Kubernetes into CI/CD pipelines; integrate cloud databases and legacy Windows systems; lead code reviews, define Python standards, and mentor junior engineers for defense-grade, secure applications.

As a Senior Lead Data Engineer, you will lead a team in designing and implementing data solutions and pipelines using various technologies, ensuring data quality and governance, while collaborating with Agile teams.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Lead technical design and deliver Databricks Lakehouse solutions on AWS: build and optimize Python/PySpark batch and streaming pipelines, implement Delta Lake patterns, ensure governance/security (Unity Catalog, IAM, KMS), drive CI/CD and IaC, mentor engineers, adopt AI-assisted development practices, and own operational stability, monitoring, and incident response.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

Lead and mentor engineering teams to build full-stack, cloud-native microservices and products. Collaborate with product managers, design scalable solutions using TypeScript/Node.js/Python and cloud/container technologies, and drive architectural consistency while occasionally coding and evaluating implementations.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

Lead backend development on the scheduling platform modernization. Contribute across Python and .NET ecosystems, write APIs, review code, and support AI-accelerated development workflows while collaborating in a remote team environment.

Leads implementation, modernization, maintenance, testing, deployment, and support of agile software systems. Develops complex Python solutions, rearchitects legacy applications into microservices, and supports CI/CD and containerization pipelines. Applies advanced software engineering principles, solves highly complex problems independently, and may supervise or develop first-level supervisors or managers. A Secret clearance and bachelor’s degree are required.

Develop and maintain Python-based applications, collaborate with cross-functional teams, write clean efficient code, debug and optimize performance, participate in code reviews, and follow development best practices.

Develop scalable Python systems on Linux, implement phone automation for Android/iOS, integrate web services, and build dashboards and data visualizations to surface insights.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.

Lead the development and implementation of data science solutions for clinical trials, oversee programming activities, and ensure data integrity.

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

Design, develop, test, and maintain backend web applications and microservices. Collaborate with product and design teams to implement features, ensure system stability, debug issues, document processes, and support automation testing. Work with databases, RBAC, version control, Kubernetes, Kafka, and cloud/storage technologies.

Lead design, build, and operate scalable backend services and carrier integrations. Provide technical leadership, mentor engineers, drive architecture and best practices, write and test code, troubleshoot production incidents, and improve monitoring and reliability while collaborating with product and cross-functional teams.