Top Python Jobs

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

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 a team building cloud-based, full-stack microservices solutions using Go, Python, JS/TypeScript, containers, and AWS. Mentor engineers, collaborate with product managers, drive technical direction, and deliver compliant solutions to meet regulatory and customer needs.

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 backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.

Lead a team and portfolio building scalable, cloud-based back-end microservices for omnichannel marketing. Mentor engineers, collaborate with product managers, design solutions using Java/Python/Go/Node/Scala, containers, Kafka, and AWS, and drive regulatory-compliant, high-impact consumer experiences.

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.

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 design and implement cloud-native, resilient full-stack systems that use AI/ML to automate governance, observability, and risk management. Drive architecture, build PoCs, write production code, and collaborate with product, data science, and risk teams to deliver scalable, secure solutions across distributed services and cloud platforms.

Lead a team building distributed microservices and full-stack systems to manage income data used in credit decisioning. Design and deliver cloud-based (AWS) solutions, ensure data integrity, mentor engineers, collaborate with product managers, and use Java, Python, Spark, container orchestration, RDBMS/NoSQL, and web technologies to drive scalable, secure experiences.

The Lead Software Engineer develops APIs for credit decisioning, designs technical solutions, collaborates on risk strategies, and analyzes large datasets to enhance lending decisions.

The Backend Engineer will enhance trading functions through software development, focusing on algorithm development, data management, and process improvement in portfolio management.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

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 Data Engineer designing, building, testing, and supporting cloud-based data pipelines and platforms. Collaborate across Agile teams to implement scalable data movement, modeling, governance, and streaming solutions using Python, Spark, Kafka, Snowflake/Databricks, and other big data tools. Mentor engineers and drive technical innovation.

Lead a team to design and deliver resilient cloud-based backend services and distributed microservices using Python and Go. Collaborate with product managers, mentor engineers, and implement observability, networking, and AWS tooling to meet regulatory and availability requirements.

Lead backend software engineering portfolio focused on cloud resilience and observability. Mentor developers, design distributed microservices, collaborate with product managers, and build cloud-native solutions using Python, Go, APIs, RDBMS/NoSQL, and AWS services to meet regulatory and operational requirements.

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.