Top Senior Python Jobs

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.

Lead software engineer responsible for designing, building, and operating secure, high-quality Python-based production systems. Drive distributed systems design, automation, AI-assisted engineering adoption, troubleshooting, mentoring, and cross-functional collaboration to improve reliability and delivery.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

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.

Leads and mentors multiple software engineering teams while overseeing budgets, technical strategy, delivery, and talent development. Designs and develops Java/Python backend services with Spring, React full-stack applications, Databricks data pipelines, and AWS cloud-native solutions. Establishes AI-assisted engineering practices, governance, quality controls, and automation across teams. Serves as a technical owner for architecture, security, resilience, performance, and production support while integrating AI/ML and LLM-powered capabilities.

Lead software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Develop with Java, Python, AWS, databases, containers, and modern APIs; establish engineering standards, design patterns, and operational practices. Partner with product managers and architects, reduce technical debt, improve system performance, mentor engineers, and influence technology strategy across Agile teams.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

Leads full-stack engineering projects and developer teams building large-scale, distributed, cloud-native systems. Responsibilities include architecture, platform roadmaps, regulatory solutions, technical leadership, mentoring, system design, cloud development, observability, reliability, and collaboration with product and architecture leaders. The role uses modern programming languages, databases, container orchestration, AWS services, APIs, CI/CD, infrastructure as code, and automated testing.

Leads multiple technology projects and engineering teams developing distributed microservices, full-stack systems, and cloud-native platforms. Provides technical leadership on architecture, system design, reliability, performance, platform roadmaps, and shared services. Partners with product managers and architects, mentors engineers, drives technology strategy, establishes coding standards, and delivers secure solutions supporting regulatory and compliance needs.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Build AI-driven governance and resilience solutions for enterprise cloud infrastructure. Design intelligent guardrails, distributed systems, microservices, and full-stack platforms using Go, Python, Java, TypeScript, AWS, Docker, and Kubernetes. Lead architectural vision, technical roadmaps, testing, deployment, and optimization while writing code, conducting reviews, mentoring engineers, and collaborating with product, data science, and risk teams.

Leads full-stack engineering initiatives involving distributed microservices, cloud-native systems, and technical architecture. Designs and implements highly reliable solutions using Python, AWS, modern programming languages, databases, containers, APIs, CI/CD, and observability tools. Provides technical leadership across teams, mentors engineers, shapes platform roadmaps, drives architectural standards, and partners with product and architecture leaders on large-scale technology initiatives.

Develop and enhance enterprise-grade Python applications, distributed systems, data processing services, and automation platforms. Responsibilities include architecture, coding, testing, performance optimization, database design, troubleshooting, CI/CD, incident response, monitoring, peer reviews, and mentoring. The role collaborates with product, data, infrastructure, and business teams to deliver secure, scalable, reliable production solutions.

Build and evolve low-latency, high-throughput news delivery services using Java and Python. Own architecture, feature delivery, performance, observability, production support, and technical direction. Collaborate within a scrum team, automate deployment and maintenance using DevOps practices, and participate in a sustainable on-call rotation. Apply real-time systems, cloud infrastructure, container orchestration, search technology, testing, and news data standards to deliver reliable services globally.

Lead design and deliver AI-native, cloud-native software components; develop secure high-quality production code; drive adoption of AI-assisted engineering practices, CI/CD automation, SDKs and reusable frameworks; mentor engineers and lead cross-team communities of practice.

Design, build, and enhance enterprise-grade Python applications, data-intensive services, and automation platforms. The role involves software architecture, database development, testing, debugging, production support, reliability engineering, secure coding, CI/CD, and collaboration with product, data, infrastructure, and business teams. Preferred work includes Python data and machine learning libraries, UNIX/Linux shell scripting, and AWS cloud services.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.

Design, build, and enhance enterprise-grade Python applications, data-intensive services, and automation platforms. Responsibilities include system architecture, application development, database design and optimization, automated testing, production debugging, operational support, secure coding, CI/CD, and reliability engineering. The role collaborates with product, data, infrastructure, technical, and business teams to solve complex problems and maintain high-availability distributed systems.

Build and operate scalable document intelligence services for Elsevier’s scientific publishing platform. Develop cloud-hosted distributed systems using Java, Python, AWS, Kafka, microservices, data-processing workflows, and AI capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile delivery, mentoring, and transforming unstructured manuscripts into structured data through metadata extraction, enrichment, and entity recognition.

Develop and deploy scalable document intelligence services that transform scientific manuscripts into structured data using distributed systems, microservices, event-driven architecture, AWS, data science, and AI/LLM capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile and DevOps practices, mentoring, and improving automated content processing and editorial experiences.