601 to 625 of 5,672 Python Jobs

coding, testing, and operating scalable, resilient, production‐grade backend systems and cloud‐native services Expert‐level coding capability in modern programming languages such as Python, TypeScript, Go, or similar, with the ability to personally contribute high‐quality production code while guiding technical direction Deep hands‐on expertise building enterprise ...

Automation**: 2+ years with IaC tools (Terraform or Ansible) and hands-on experience with orchestration and automation platforms (AWX, Ansible Tower, Terragrunt), scripting in Python, Bash, or Go* **DevOps & DevSecOps**: 2+ years designing and implementing CI/CD pipelines using Jenkins, GitLab, GitHub Actions, or equivalent, with strong knowledge ...

5+ years of professional software development experience with a proven track record of building high-performance, client-facing web applications. Backend Stack: Proficient with Python, FastAPI, PostgreSQL, Redis , and designing secure REST APIs . Frontend Stack: Proficient with TypeScript, React, Jest , and Storybook . Experience with Micro Frontends (MFEs ...

deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience ...

Infrastructure as Code using tools such as CloudFormation or Terraform Experience designing and implementing CI/CD pipelines using tools such as GitLab and Python, combined with the ability to support and guide team members, encourage collaboration, and promote engineering and delivery best practices Experience working with AWS, Azure ...

observability tooling (e.g. logging, metrics, tracing) and building reliable systems. Knowledge of secure‐by‐design and zero‐trust principles. Strong software engineering fundamentals (e.g. Python, Go, or similar) to build platform tooling and automation. Experience working in cross‐functional teams and contributing to shared technical outcomes. Behaviours that matter: Mission ...

10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning ...

customer‐facing or embedded roles System architecture: Proven ability to design and implement AI‐native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability ...

maximise productivity.Proficiency in Agile development methodologies & understanding of DevOps Integration.Relational database skills (SQL).Experience in the following technologies is helpful, but not essential: Scala, Python, C++, Perl, Shell, C#.Ideally, experience developing on Linux.Excellent problem solving, communication and team-working skills.#LI-FT1WHAT YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley ...

quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills ...

results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP. What will set you apart Orchestration Mastery: Deep experience with data orchestration tooling ...

security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high‐performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well‐tested automation scripts, services ...

with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

having experience with cloud platforms (AWS, Azure or GCP), coupled with hands on persistence and data streaming technology experience (Snowflake, Kafka). Experience with Python and Databricks is highly desirable. We would like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality ...

having experience with cloud platforms (AWS, Azure or GCP), coupled with hands on persistence and data streaming technology experience (Snowflake, Kafka). Experience with Python and Databricks is highly desirable. We would like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality ...

including quasi‐experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert‐level proficiency in Python and SQL for large‐scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability ...

orchestration tools like Docker, Kubernetes and Helm. Excellent programming, debugging, and optimization skills in general purpose programming languages including but not limited to: Go, Python, C/C++, Java, or Rust. Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Interest and ability to learn ...

knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical ...

developing Kubernetes Operators Production experience with OSS API Gateways and Ingress controllers Production Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing ...

charters, ideally enhanced with data-driven or AI-supported techniques OOP & Programming: Solid understanding of OOP (Classes, Methods, Inheritance) with proficiency in Java or Python Automation Tools: Hands-on experience with frameworks like Playwright, Selenium, or Cypress AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based ...

emerging AI and cloud tech. What we are looking for 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/ ...

visualisation skills, with the ability to communicate complex evidence clearly to technical and non-technical audiences Desirable Experience using programming or analytical languages (e.g. Python or R) to support exploratory, strategic or statistical analysis Awareness of the practical application and limitations of artificial intelligence and advanced analytics, including in healthcare ...

resilient cloud-based architectures. Hands-on experience with Azure services such as Functions, Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs ...

systems and event‐driven architecture: messaging, async workflows, resilience patterns, idempotency and at‐scale system behaviour Backend and platform engineering: advanced server‐side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform ...

servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex ...