Top Python Jobs

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 full-stack software engineering teams, technical strategy, cloud-native architecture, and large-scale distributed system delivery. Responsibilities include managing engineering teams, mentoring leaders, driving technology roadmaps, overseeing Agile programs, aligning engineering execution with business goals, and ensuring reliable, high-performance solutions. The role involves collaboration with product, architecture, and platform leaders, occasional coding or code evaluation, succession planning, and adoption of modern technologies including AWS, microservices, containers, databases, and AI-based development tools.

Develop and maintain backend software for programmatic advertising systems. Responsibilities include writing efficient code, designing applications, implementing unit and integration tests, documenting development and deployment processes, analyzing integration and architecture needs, troubleshooting issues, collaborating with QA, participating in code reviews, and improving application performance and reliability.

Leads software engineering for credit trading technology, designing and building secure, scalable Python systems and AI-enabled trading platforms. Partners with sales, trading, product, vendors, and support teams to deliver solutions, improve reliability, automate remediation, and modernize systems. Establishes engineering standards for AI-assisted development, testing, security, and responsible AI use. Requires strong cloud-native AWS, CI/CD, agile, application resiliency, and software development lifecycle expertise.

Lead engineering projects and developers building full-stack, cloud-based solutions with distributed microservices. Design service boundaries and reusable frameworks, establish engineering standards, mentor engineers, improve system performance, reduce technical debt, and evaluate emerging technologies. Work with Python, Go, Kubernetes, Docker, databases, AWS, and other cloud platforms in an Agile environment supporting AI/ML platforms and regulatory needs.

Lead software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provide technical leadership across Agile teams, establish engineering standards, define service architectures, reduce technical debt, improve system performance, and mentor engineers. The role uses Java, Python, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and other modern technologies.

Leads software engineering and SRE initiatives for secure, scalable production platforms. Designs Python or Java automation, LLM and agent solutions, data pipelines, monitoring, and resiliency practices. Owns application security, risk controls, compliance, lifecycle management, incident response, and service-level objectives. Coordinates execution across engineering teams, promotes AI-assisted development, and coaches teams on secure, responsible AI adoption.

Leads software design, development, testing, troubleshooting, and production support for secure, scalable enterprise applications. Builds and maintains code using Python or Java, AWS services, PySpark, databases, CI/CD tools, and Terraform. Develops architecture artifacts, data visualizations, and pipelines; improves system resiliency, observability, and coding practices. Resolves production issues, promotes AI-assisted engineering, and contributes to technical communities and agile team culture.

Leads software and data engineering work within an agile team, designing, developing, debugging, and supporting secure production applications and data pipelines. Builds AWS cloud-native solutions using Python, Java, SQL, and Databricks; reviews code; automates recurring remediation; improves SDLC practices; and promotes responsible AI-assisted engineering. Evaluates vendor and architectural solutions while guiding teams on secure, resilient, and compliant development practices.

Leads software engineering for secure, scalable banking technology products. Designs, develops, tests, reviews, debugs, and troubleshoots production code using Python, Java, Spring, and AWS. Drives automation, CI/CD, application resiliency, security, and operational stability. Promotes responsible AI-assisted development practices, evaluates vendor technologies, coaches engineers, and leads communities of practice.

Leads software engineering within an agile banking technology team. Designs, develops, secures, tests, troubleshoots, and operates scalable applications using Python, Java, Spring, and AWS. Reviews code, improves automation and operational resilience, promotes responsible AI-assisted engineering practices, and evaluates architectural solutions with vendors and internal teams. The role requires strong cloud-native development, CI/CD, web security, system design, and production support experience.

Lead software engineering for secure, reliable, scalable enterprise applications. Responsibilities include designing and delivering production code, troubleshooting complex issues, leading resiliency reviews and major incident response, improving application performance and stability, establishing service level indicators and objectives, reducing operational toil, and guiding engineers on modern technologies, cloud-native architecture, automation, observability, containers, and continuous delivery.

Designs, develops, and leads complex software solutions within PNC’s Data and Automation organization. The role aligns business strategy with software architecture, codes solutions, documents technical processes, leads problem solving, and provides technical guidance. Required expertise includes AWS services such as SageMaker, Bedrock, EMR, Lake Formation, and DataZone, along with Infrastructure as Code. The position is based in Pittsburgh or Dallas and requires in-office work.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Leads software engineering within JPMorganChase’s Risk Technology team, providing technical direction and developing secure, scalable production code. Designs, tests, debugs, and supports applications while guiding engineers, contractors, and vendors. Drives adoption and governance of AI-assisted engineering practices, improves SDLC automation, establishes validation standards, and serves as a technical subject matter expert. Requires advanced Python, Pandas, NoSQL, Databricks, cloud-native experience, architecture expertise, and strong independent problem-solving and leadership skills.

Build and modernize large-scale data platforms supporting Client 360 and marketing and events initiatives. Acquire, transform, validate, and analyze complex data using AWS, Databricks, ETL, Python, Java, SQL, and big data technologies. Develop services and scripts, automate data preparation and database loads, enforce data quality standards, write tests, and deliver architectural and business solutions within an Agile team.

Principal Software Engineer responsible for modernizing enterprise developer tooling and improving developer productivity. Designs and codes software solutions, supports C#, Java, Python, Node.js, frameworks, plugins, and extensions, and leads adoption of development technologies. Builds reference architectures, reusable solutions, Inner Source contributions, automation, and AI-assisted development capabilities. Provides technical leadership, solves complex engineering problems, evaluates releases, reduces developer workflow friction, and guides development teams.

Build and operate secure AWS-based data platforms and control planes using Python, React, and infrastructure-as-code. Develop backend services, APIs, provisioning automation, self-service workflows, and Databricks enablement. Implement IAM, encryption, networking, observability, CI/CD, testing, and reliability practices. Collaborate with security, data engineering, and application teams while responsibly using enterprise AI-assisted development tools.

Leads diverse technology projects and developers building full-stack, distributed microservice solutions. Provides technical direction across Agile teams, establishes engineering standards, partners with architects on service design, and delivers cloud-based systems using modern programming languages, databases, containers, and AWS services. The role includes mentoring engineers, reducing technical debt, improving performance, guiding technology strategy, and supporting regulatory and customer-focused business objectives.

Leads and develops full-stack software solutions using cloud technologies, distributed microservices, APIs, databases, and modern front-end and back-end frameworks. Provides technical leadership across Agile teams, mentors engineers, establishes coding and design standards, partners with architects and product managers, improves system performance, reduces technical debt, and influences long-term technology strategy.

Develops secure, scalable full-stack software for payments technology using Python and React. Designs application architecture, writes and troubleshoots production code, builds automated tests with Playwright and Pytest, and supports operational stability. Uses AI-assisted development tools responsibly to improve coding, testing, and documentation while validating outputs for security and correctness. Analyzes data, creates visualizations, and identifies patterns that improve software quality and system architecture within an agile SDLC environment.

Develop and support scalable Python software for equity, fixed income, and multi-asset index calculation, simulation, and delivery. Design components from high-level architecture, automate development and deployment, modernize existing systems, and contribute to technology roadmaps. Collaborate with research, product, platform engineering, data operations, production, and program management teams. Provide technical client support and perform analysis while building resilient, maintainable enterprise applications using databases, APIs, cloud-native services, and distributed systems.

Provides Tier-2 production support for the Streaming Hub application, troubleshooting customer, application, infrastructure, and integration issues. Develops and maintains UI components, automation tools, and scripts; debugs distributed systems; participates in incident response, live event monitoring, release validation, and post-release verification. Collaborates with engineering and client services teams, documents solutions, and improves operational reliability. Requires flexibility for nights, weekends, and variable schedules.

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.