Top Senior Python Jobs

Leads software engineering efforts involving system design, backend application development, testing, troubleshooting, and operational stability. Develops secure production code using Python, Spark, Java, AWS, Kafka, Cassandra, Hadoop, and SQL/NoSQL platforms. Guides code reviews, automation, CI/CD, application resiliency, and secure AI-assisted engineering practices. Evaluates architectural solutions with vendors and internal teams while coaching engineers on responsible AI adoption and validation.

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Leads development of secure, scalable software solutions for network automation. Designs, codes, tests, debugs, and reviews production systems using Python, React, Django, and FastAPI. Promotes AI-assisted engineering practices with strong validation, security, and responsible-use standards. Builds microservices, APIs, and event-driven solutions; improves application resiliency and automation. Partners with internal teams, vendors, and startups to evaluate architectures and deliver sustainable technical outcomes in an agile environment.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Develops scalable, resilient software and AI-powered capabilities for identity and access management. Designs, codes, tests, troubleshoots, and maintains secure production systems using Java or Python. Leads responsible adoption of AI-assisted development tools, establishes validation and security standards, contributes to architecture, analyzes large datasets, and improves software quality, resiliency, and operational outcomes. Collaborates with engineering, architecture, data science, risk, compliance, and business teams in an agile environment.

Leads technical design and hands-on development of secure, scalable AWS cloud services, APIs, microservices, and event-driven applications. Provides engineering guidance, performs code reviews, improves CI/CD, testing, infrastructure as code, observability, and operational reliability. Establishes governance for AI-assisted software development, validates AI workflows for security and quality, and coaches engineers on responsible usage. Requires strong Java, Python, or Go skills, AWS expertise, Terraform, databases, SQL, and production service delivery experience.

Leads software engineering for secure, scalable enterprise applications within an agile infrastructure platform team. Provides technical direction, develops and reviews production code, modernizes architectures, and establishes engineering governance across SDLC practices. Drives responsible AI-assisted development, automated testing, observability, secure coding, and operational stability. Serves as a technical subject matter expert, mentors engineers, promotes reusable frameworks, and influences product design, application functionality, and technical operations.

Leads architecture and hands-on development of scalable Python and Java distributed systems, ML platforms, and agentic AI services. Productionizes machine-learning models, builds resilient microservices and reusable platform components, establishes monitoring and governance, and guides responsible AI-assisted engineering adoption. Partners with technical and business stakeholders while mentoring developers and managing delivery across teams.

Develop and maintain scalable backend advertising software using Python and Django. Responsibilities include designing RESTful APIs, analyzing requirements, integrating and releasing applications, supporting production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, participating in code reviews, mentoring engineers, and promoting reliability and engineering best practices. The role is hybrid in Chicago and may require variable schedules, including nights and weekends.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Develop secure, scalable software using React and Python within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, data analysis, architecture documentation, operational stability, and CI/CD practices. The role also requires responsible use and validation of enterprise AI-assisted coding tools, participation in engineering communities, and mentoring peers on secure AI-enabled development workflows.

Leads software engineering for secure, scalable technology products within data technology. Responsibilities include designing and developing Java, Python, or Go applications; building AWS-hosted APIs, microservices, event-driven services, and data models; developing Terraform infrastructure; reviewing code; improving testing and operational stability; and guiding responsible AI-assisted engineering practices, secure coding, architecture, and SDLC adoption.

Develop and maintain secure, scalable software solutions using React and Python in an agile enterprise environment. Responsibilities include system design, production coding, troubleshooting, architecture documentation, automated testing, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, secure coding practices, peer validation of AI-generated outputs, and contributions to engineering communities and team culture.

Lead multiple technology projects and engineering teams while designing and implementing reliable, high-performance, cloud-native and distributed systems. Provide technical leadership across teams, shape architecture and technology roadmaps, mentor engineers, establish engineering standards, and deliver full-stack solutions using modern programming languages, cloud services, microservices, databases, containers, APIs, observability, and automation.

Leads and delivers large-scale, cloud-native full-stack systems using distributed microservices, modern programming languages, databases, containers, and AWS technologies. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, drives reliability and performance, and partners with product and architecture leaders to deliver secure solutions supporting regulatory and customer needs.

Leads end-to-end architecture and delivery of enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data architectures, and nonfunctional requirements. Provides technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with monitoring and responsible AI controls. Partners with data science teams and drives secure, resilient, observable solutions through the full software development lifecycle.

Leads software engineering teams and technology projects, designing and implementing large-scale, cloud-native, distributed systems. Responsibilities include full-stack development, microservices, AWS solutions, architecture, platform roadmaps, reliability and observability, technical standards, mentoring, and cross-functional leadership. The role uses Java, Python, and other modern programming languages, databases, containers, CI/CD, infrastructure as code, and AI-based development tools.

Lead backend and full-stack engineering initiatives for customer rewards redemption platforms. Design and implement scalable, cloud-native microservices; guide architectural modernization; mentor engineers; establish technical standards; and partner with product, architecture, fraud, and customer experience teams. The role requires expertise in distributed systems, multiple programming languages, cloud platforms, databases, APIs, CI/CD, observability, and modern software development practices.

Lead full-stack engineering initiatives and development teams building large-scale, distributed, cloud-native systems. Design and implement reliable, high-performance solutions using Python, Angular, microservices, databases, containers, and public cloud platforms. Provide technical leadership, mentor engineers, shape architecture and technology roadmaps, establish engineering standards, and partner with product and architecture leaders on platform strategy and enterprise-wide initiatives.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Leads development of secure, scalable software solutions within an agile financial-services environment. Responsibilities include designing, coding, testing, debugging, reviewing production code, improving application stability through automation, applying AI-assisted engineering practices responsibly, and evaluating vendor and architectural solutions. The role requires advanced Python expertise, cloud-native experience, SDLC proficiency, software security knowledge, and familiarity with banking technology systems.

Leads software engineering efforts within Credit Risk Technology, including system design, application development, testing, troubleshooting, code review, and production stability. Modernizes the technology stack, develops secure and scalable code, automates recurring remediation, evaluates vendor and architectural solutions, and promotes engineering best practices. Requires advanced Java or Python skills, strong relational database and Databricks expertise, and experience working in large corporate environments.