201 to 225 of 3,070 Permanent AWS Jobs

Source) Backend: PHP (Laravel), Python Frontend: JavaScript, TypeScript, React APIs: REST, GraphQL Databases: PostgreSQL, MySQL, Redis Infrastructure: Linux, Docker, Kubernetes, CI/CD Cloud: AWS Testing: PHPUnit, Jest, automated integration testing You don't need experience in everything - strong fundamentals and an interest in learning are far more important. What ...

confidence to take ownership. Nice to have (not essential): Next.js or other React frameworks. Containerisation (Docker) and CI/CD pipelines. Cloud experience (AWS, GCP or Azure). Experience or strong interest in AI/ML/LLMs and how they can enhance product features. Package & working pattern Salary ...

Full-Time Relevant Experience: 7 Years Job Summary: Designs, runs and improves software that meets user needs. Competent Java developer with significant experience in AWS cloud services. Proficient in AngularJS, Jenkins, Karate, Gherkin and Cypress, Cloudformation, Jenkins, Groovy and deploying to native AWS services like ECS, S3, Lambda, SQS, Step … Functions. Certification: Expected to have AWS Certified DevOps Engineer Professional accreditation or above Responsibilities: Write clean, secure code using test-driven approach. Create reusable and open code. Collaborate with other developers. Fix service faults and maintain infrastructure. Apply modern development standards. Use prototyping methods and tools. Design and build software ...

users. With an agile, sprint-to-sprint mindset and an ambitious roadmap, you'll contribute to key initiatives such as advancing our AWS Personalization Strategy, optimising store search with OpenSearch, tackling UI challenges, modernising store technologies, and achieving release independence. This is your chance to shape how thousands of users … us. Tech stack used by this team : Java 17 , Spring (Spring Boot, Spring Web Stack, Spring Data or Spring JDBC) , RESTful webservices , Apache Camel , AWS, Terraform, API, Oracle, Postgres, NoSQL DB, PL/SQL, JMeter, Jenkins, Sonar, Maven, Git, Docker/Containerization , Open Search, Kafka, Lambda . What ...

engineers while promoting high-quality engineering standards across the team. Skills & Experience: Strong experience with Node.js, React, and Next.js. Professional experience with cloud platforms (AWS preferred). Experience with automated testing and CI/CD pipelines. Understanding of RESTful API design, microservices, and modern web application architecture. Experience with mentoring ...

developing in C++ and/or Rust Experience in CI/CD pipelines to automate testing, deployment, and release management. Knowledge of cloud platforms (AWS, Azure, etc.). Experience with Docker, Kubernetes and containerized application deployment. Experience working on real time systems such as video games or IoT installations. Exposure ...

PowerShell and Bash Python development Networking fundamentals including IPv4 Monitoring and logging using tools such as Zabbix and Splunk Knowledge of cloud concepts and AWS Desirable experience Cloud focused CI/CD pipelines Infrastructure as Code for cloud services Hands on AWS services such as EC2, EKS, Fargate … Lambda Automation using AWS SDK and Boto3 Hybrid cloud integration Debugging using CloudTrail Certifications that are useful Linux or Red Hat certifications Microsoft Windows Server certifications Ansible or Terraform certifications AWS certifications CCNA Security or testing certifications If you have a strong background in DevSecOps and infrastructure engineering, this role ...

government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative … governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning ...

Kotlin Experience and willingness to work with the React framework Experience designing and building scalable products and services Experience with the cloud (preferably AWS, but Azure or GCP will also do) Great problem solving abilities Working proficiency in English Some of the technologies you'll get to work with Java … Kotlin (latest versions) Modern frameworks (Micronaut, Spring Boot, React) Cloud native systems (AWS, Kubernetes, Docker) Event driven architectures (Kinesis) What's in it for you Hybrid working - We offer a hybrid structure with a 3 days/week on site expectation, so you can strike the balance between office ...

Angular. Solutions Architecture (design, proposal, develop, deliver, sustain), Secured Development Patterns, and Practices Kubernetes/Dock Mobile Development Network (Firewall, Proxy, Gateway), Azure/AWS/GCP Actively engage in development team activities associated with brainstorming new solutions and refining current solutions. Drive technical efforts that lead to success … designing, implementing, and optimizing production applications Experience working in an agile environment Extensive UI Design experience Comfortable dealing with ambiguity Public Cloud (Azure/AWS/GCP) Distributed System Design (on-prem, public cloud) Nice to Have Experience Experience working with production AI/ML models and pipelines Object Store ...

Stack (Open-Source) Backend: Python, Go Frontend: React, TypeScript Frameworks: Django, FastAPI Databases: PostgreSQL, Redis Infrastructure: Linux, Docker, Kubernetes, CI/CD pipelines Cloud: AWS Testing: Pytest, Jest You don't need experience with every tool - strong programming fundamentals and a passion for open-source are key. What They ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data … client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead ...

solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Responsibilities Design, build, and operate resilient cloud infrastructure (AWS & Azure preferred) Develop and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI Implement infrastructure-as-code using Terraform, Helm … system resilience Contribute to internal platform frameworks, templates, and automation accelerators Essential Experience in SRE, DevOps, or Cloud Infrastructure Engineering roles Strong knowledge of AWS, Azure, or GCP environments Hands-on experience with Kubernetes, Docker, and container orchestration Proven experience building and maintaining CI/CD pipelines Strong experience with ...

test automation, or software engineering Advanced knowledge of automation frameworks, test design, and QA principles Hands-on with Java-based technologies, microservices, cloud platforms (AWS/Azure), containerisation, and DevOps practices Strong problem-solving, communication, and project management skills Experience working in self-empowered, multi-disciplinary Agile teams Ability ...

supporting large-scale, mission-critical systems. Strong hands-on experience with Kubernetes and Terraform . Experience deploying and operating applications in public cloud environments (AWS, Azure, GCP) . Solid understanding of Java and Spring Boot applications . Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk). Strong ...

have experience with the below non-exhaustive list: - Strong grasp of IaC (Terraform or provider-specific tools) and cloud platforms such as AWS, Azure, GCP. - Experience with containerisation and orchestration (Docker + Kubernetes/ECS/equivalent). - Competence in CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub ...

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow ...

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow ...

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow ...