776 to 800 of 4,513 AWS Jobs

within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence programmes Familiarity with secure software development within highly ...

JIRA Requirements: Solid experience in delivering Java or other JVM languages; familiarity with JS/TypeScript is a plus. Experience with cloud platforms (Azure, AWS) and infrastructure automation (Terraform). Good understanding of SQL (PostgreSQL) and NoSQL databases (e.g., Cosmos DB). Familiarity with monitoring and alerting tools (Splunk, xMatters ...

/DAST platforms Code scanning tools CI/CD pipelines (GitHub, GitLab, Jenkins etc.) Container security platforms Cloud security tooling Technology Environment Cloud platforms (AWS, Azure or GCP) Containerised platforms (Docker/Kubernetes) Microservices architectures REST APIs and modern application frameworks Identity and access management solutions Ideal Candidate Background ...

quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based ...

Excellent time management and proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure ...

skills, with experience coaching engineers, building accountability, and helping teams plan and deliver effectively. A solid technical background in backend engineering, including Node.js, TypeScript, AWS, APIs, and production systems supported by SQL or NoSQL data stores. Good understanding of CI/CD, observability, incident support, and modern engineering practices such ...

PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands‐on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications ...

database troubleshooting. Experience with monitoring and observability tools such as Splunk, Dynatrace, AppDynamics, Grafana, Azure Monitor, or equivalent. Understanding of cloud platforms (Azure, AWS, or GCP). Familiarity with APIs, middleware, and integration technologies. Knowledge of ITIL principles and service management best practices. Excellent problem-solving and analytical abilities. Strong ...

role supporting enterprise or production environments. Hands‐on experience configuring and managing firewalls, routers and switches. Experience provisioning and supporting cloud networking across Azure, AWS or GCP. Strong knowledge of LAN, WAN, software‐defined networking, TCP/IP, DNS and network monitoring tools. Experience using Infrastructure as Code tools such ...

undocumented APIs. Hands‐on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. Proficient with containers (Docker, Kubernetes) and comfortable reading and writing IaC (Terraform) for the surfaces ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java ...

Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what ...

expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Deep skill in driving technical solutions across multiple teams Strong experience with Terraform and CI/CD Strong experience managing infrastructure in the cloud (AWS or Azure) Experience using languages such as Go, Python, C#, Java, or similar. Experience designing tooling to simplify the operational management of SaaS/PaaS ...

good understanding of the machine learning development lifecycle, including data extraction, feature engineering, modelling, evaluation, deployment and ongoing monitoring. Experience with cloud infrastructure, ideally AWS, alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such ...

expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming ...

ability in using AI-augmented development workflows (e.g., Claude, Codex, Copilot). Experience designing and developing resilient REST APIs and cloud-native applications (preferably AWS). Good understanding of microservice architecture and backend design principles. Solid knowledge of Postgres, Redis, and ideally DynamoDB. Nice-to-Have Familiarity with asynchronous ...

driven architecture and service decomposition. Experience building scalable cloud-native applications using technologies such as Kubernetes, Kafka, Redpanda, PostgreSQL and MongoDB. Experience working with AWS and/or Azure. Strong understanding of CI/CD, automated testing, observability and production operations. Experience designing secure software, authentication and authorisation mechanisms ...

designing, building, and operating scalable, highly available distributed systems in a cloud‐native environment. Modern tech stack experience: Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST). Database expertise: Hands‐on experience with both relational and NoSQL databases. A people‐first approach: Deep ...

designing, building, and operating scalable, highly available distributed systems in a cloud-native environment. Modern tech stack experience: Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST). Database expertise: Hands-on experience with both relational and NoSQL databases. A people-first approach: Deep ...

Logging and Inventory Cloud Engineer - GCP & AWS Glasgow, United Kingdom | Posted on 28/07/2026 Contract Location: Glasgow or Bournemouth. Hybrid Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Must have GCP and AWS Cloud experience Overview We are supporting … manual processes. Build and maintain Infrastructure as Code using Terraform. Develop scripts and tooling using Python and Shell scripting. Support cloud engineering activities across AWS and Google Cloud Platform (GCP). Drive improvements in cloud observability, monitoring and operational reporting. Manage and optimise containerised workloads where required. Work closely with ...

AWS Database Administrator (AWS DBA) 6 months (Initial Contract) Remote-working Remote (UK Based) Day Rate: (Inside IR35) Security Clearance: BPSS minimum; SC clearance desirable or ability to obtain Role Overview We are seeking an experienced AWS Database Administrator (AWS DBA) to support the delivery and operation of critical cloud … hosted services within a UK Central Government department. The successful contractor will be responsible for the administration, optimisation, security and resilience of AWS-hosted database platforms, ensuring services remain available, secure and performant. Working closely with Cloud Engineers, DevOps teams, Architects and Delivery Managers, you will play a key role ...