276 to 300 of 9,767 Python Jobs

using tools such as GitLab CI, Jenkins, GitHub Actions or Cloud Build. Automate deployment, configuration management and operational processes using scripting languages such as Python, Bash or PowerShell. Manage GCP services, including Google Kubernetes Engine (GKE), Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration … networking, DNS, TCP/IP, firewalls and load balancing. Experience with Docker, Kubernetes and container-based application deployments. Proficiency in scripting and automation using Python, Bash or equivalent. Experience with Git-based version control and collaborative software development workflows. Understanding of cloud security, identity and access management, encryption and secure ...

reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance … development, data modelling, orchestration, and integration management. Experience with Azure services, including Azure Data Factory, Azure DevOps, Azure Functions, and Logic Apps. Proficiency in Python for data processing, automation, and solution development. Understanding of cloud-based data platforms and modern data architecture principles. Exposure to AI, machine learning, or generative ...

working knowledge of Red Hat Enterprise Linux (RHEL), Kubernetes and Jenkins CI/CD pipeline management. Strong deployment automation and scripting capability using Bash, Python, YAML and Ansible. Sound understanding of Site Reliability Engineering (SRE), including monitoring, alerting, observability, reliability and resilience engineering, and the automation of operational tasks. Proven …/CD and deployment automation: Jenkins, pipeline management, Ansible, Git, Nexus, infrastructure automation and Infrastructure as Code (IaC). Scripting and configuration: Bash, Python and YAML. On-Prem plus Cloud platforms: Microsoft Azure. SRE and observability: Monitoring, alerting, incident response, reliability and resilience engineering, Prometheus, Grafana and Zabbix. Security ...

Deliver technical excellence and build game‐changing solutions – Design robust, scalable full‐stack applications using Java/Springboot, C#/.NET, Python and REACT , drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration opportunities that transform workflows Offer influence and mentorship – Partner with product managers … full‐stack engineering expertise – 10+ years of hands‐on experience building enterprise applications, with expert‐level proficiency in Java/Springboot, C#/.NET, Python and REACT , and modern web technologies in production environments Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding ...

vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills … Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn ...

culture within the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture: You have ...

Work with clients to understand their use cases and explain technical decisions clearly Document solutions and share knowledge with the wider team Requirements Strong Python skills and a solid grounding in software engineering practice Experience building applications with large language models and orchestration frameworks such as LangChain, LangGraph or LlamaIndex ...

Forward Deployed Engineering, Solutions Engineering, Technical Customer Success, or Professional Services is highly preferred. Strong programming experience in at least one language such as Python, Go, or Java. Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud Platform). Strong knowledge of Kubernetes, Infrastructure as Code (Terraform … infrastructure or AI-enabled platforms. Experience migrating customers from legacy alerting, AIOps, or incident management platforms. Experience building internal automation and tooling using Python, Node.js, Bash, or similar scripting languages. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. ...

Deliver technical excellence and build game-changing solutions – Design robust, scalable full-stack applications using Java/Springboot, C#/.NET, Python and REACT , drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration opportunities that transform workflows Offer influence and mentorship – Partner with product managers … hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot and/or C#/.NET, good familiarity with Python, REACT and modern web technologies in production environments. Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding of software architecture ...

Deliver technical excellence and build game-changing solutions – Design robust, scalable full-stack applications using Java/Springboot, C#/.NET, Python and REACT , drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration opportunities that transform workflows Offer influence and mentorship – Partner with product managers … hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot and/or C#/.NET, good familiarity with Python, REACT and modern web technologies in production environments. Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding of software architecture ...

successful in this role, you will need a blend of the following engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce ...

developing full stack applications using modern front-end and back-end technologies. Strong programming skills in languages such as JavaScript/TypeScript, Java, C#, Python, or Node.js. Experience with front-end frameworks such as React, Angular, or Vue.js. Experience building and consuming RESTful APIs and microservices. Knowledge of software engineering ...

Azure, or GCP. Solid understanding of agile practices, including CI/CD, application resiliency, and security. Proficient in at least one programming language (e.g., Python, Java/Spring Boot, .NET). Experience with infrastructure as code tools (Terraform, CloudFormation, etc.). Strong knowledge of Linux/Unix systems. Experience with ...

ideally proven with a released title or robust load tests Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable Solid database experience, with the ability to work effectively with both SQL and NoSQL databases Proven experience with cloud platforms ...

implementing AI-driven solutions Excellent problem-solving skills and the ability to design and optimize data architectures Strong programming skills in languages such as Python, Scala, or Java Experience with data quality, data governance, and data security best practices Excellent communication and collaboration skills, with the ability to work effectively ...

Development of our monitoring and diagnostics Delivery of end-user automation solutions What makes a great candidate PowerShell/scripting language C#, Java or Python – prior history as developer or the ability to code Infrastructure As Code – Ansible, Terraform or equivalent Containerisation using Docker, and orchestration via Kubernetes or Docker ...

practices, and participate actively in pair programming and planning sessions to enhance collective skills and ensure high-quality deliverables. Data Engineering: Strong proficiency in Python and at least one key programming language commonly used in data engineering (PySpark/SQL strongly preferred, Java/Scala beneficial). Data Modelling: Solid ...

Active SC held, not eligibility Essential Requirements Core data engineering Strong commercial data engineering background, building and running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with ...

effectively communicate solutions to both the data team, and to stakeholders Good understanding of database administration activities and principles Data transformation approaches Strong Python and SQL programming capabilities Data security approaches – e.g. permission models (AD, role-based etc.) and techniques to protect data in certain circumstances (e.g. encryption, masking) Desirable ...

client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache ...

platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/CD tools, specifically Azure DevOps Service Analytics and MI products including MS Power BI Data catalogue ...

master them as you go: Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP) Ansible for Infrastructure-as-Code for our deployments Python to understand the AI Solution team's code Why join SeeChange Working on AI/ML solutions for major brands, you will be part ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

modeling practices. Your qualifications and experience ESSENTIAL Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related ...