101 to 125 of 7,787 AWS Jobs

building, deploying, and integrating AI/ML models, generative AI, or AI-driven analytics into enterprise software platforms Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Extensive experience with SQL and NoSQL database technologies, including but not limited to PostgreSQL, document databases like MongoDB, and distributed databases … expertise in fixed income system design and analytics. Solid understanding of Agile methodologies and product development lifecycle. Cloud Expertise: Deep, hands-on proficiency with AWS for building scalable, distributed systems and microservices architectures. Autonomy & Agility: Demonstrated ability to work independently, learn complex new systems rapidly, and successfully lead greenfield platform ...

service availability. Key Responsibilities: Design, deploy, and support scalable, resilient, and self-healing cloud infrastructure across Azure and hybrid cloud environments, with exposure to AWS considered beneficial. Define and manage infrastructure using Infrastructure as Code (IaC) tools including Terraform, Helm, CloudFormation, and Ansible. Build, maintain, and optimise CI/… programming experience. Experience working within Product Engineering, Software Engineering, or R&D environments. Experience supporting highly available, business-critical systems. Cloud certifications across Azure, AWS, DevOps, or Kubernetes technologies. How We Work: Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless ...

engineering leadership role, with a strong foundation in successfully building and deploying services in the cloud A deep knowledge of cloud platforms such as AWS, Azure and GCP Hands on experience delivering software using multiple programming languages, and a thorough understanding of modern software engineering best practices Deep experience with … Platform Engineering, and their places within a modern digital organisation Desirable Experience working in a technology consultancy environment Relevant cloud certifications such as AWS Cloud Practitioner, Developer, DevOps Engineer, Security, Advanced Networking or Azure Developer, Security, DevOps, Network Engineer Knowledge of cloud vendor partner programs, such as AWS ...

Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities Experience with cloud-based AI services platforms such as GCP/AWS Gemini, and Vertex AI or comparable model platforms Solid understanding of application architecture, integration patterns, APIs, and software design principles Experience developing Java REST APIs … responsible AI practices Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams AI Platforms: GCP/AWS Cloud, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based ...

Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices Git DevOps/DevSecOps CI/CD Pipelines API Development Secure Software Development Lifecycle Preferred Qualifications Experience developing … critical infrastructure sectors. Experience with computer vision, predictive analytics, or autonomous systems. Knowledge of cybersecurity and secure AI development practices. Azure AI, Microsoft, AWS, or Google certifications. Experience scaling AI solutions to enterprise environments. Personal Attributes Innovative and solution-oriented. Strong attention to detail. Professional and reliable. Passion for emerging ...

bonuses, equity, benefits, or other incentives. Job Summary: The Senior Software Engineer is a senior technical contributor responsible for designing, developing, and maintaining complex, AWS-native software systems within their area of ownership. This role combines deep hands‐on software engineering expertise with strong cloud, data engineering, and AI capabilities. … Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development by incorporating AI‐assisted tools and automation into ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

criteria. Engineering and Data Engineering Hands-on and knowledge of programming languages particularly Python Practical experience with major cloud providers including GCP, Azure, or AWS Knowledge of core software engineering concepts like DRY and SOLID Proficiency in version control systems, specifically Git or similar tools Demonstrated application … required, we are seeking Engineers who have experience with one or more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps ...

slick tooling, and empowering software delivery by coaching teams in true DevOps fashion. While we are looking for those with significant experience working with AWS this role remains a full stack and polyglot role as with all of our Software Engineering roles Our Lead Software Engineers are Tech Leads, Architects … Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

supporting production ML systems. End-to-end ML lifecycle management, including deployment, orchestration, experiment tracking, versioning, monitoring, and automated retraining. Cloud ML experience on AWS, Azure, or GCP with batch and real-time solutions and large-scale data. Python and SQL proficiency. Java, Scala, or R preferred. Data platforms: Snowflake … Pipelines, or similar. Knowledge of software architecture patterns, distributed systems, and AI/ML regulatory frameworks and model risk management. Relevant cloud certifications on AWS, Azure, or GCP. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation ...

Kubernetes environments, automate delivery pipelines and implement Infrastructure as Code solutions across complex production systems. Essential Skills Linux administration (RHEL and/or Ubuntu) AWS including EC2, S3, RDS, IAM and VPC Kubernetes (EKS and/or RKE) Docker Helm Terraform Ansible Prometheus Grafana Kafka MongoDB MySQL PostgreSQL GitLab … Puppet Keycloak HashiCorp Vault Python Bash DevSecOps tooling and practices ITIL-based service management experience Responsibilities Design, deploy and support resilient cloud infrastructure across AWS, Azure and Kubernetes environments Build and maintain Infrastructure as Code solutions using Terraform and Puppet Develop and optimise CI/CD pipelines to automate testing ...

Lead major incident management, root cause analysis, problem management, and post‐incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability … managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud‐native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. ...

based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns • Kubernetes • Knowledge/Certification in Spring framework. • Experience in cloud technologies AWS/Azure/GCP You will be required to pass through Security Clearance if you are successful in this recruitment process, which is a condition … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build ...

data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery … facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure ...

verbal communication skills Preferred Qualifications Experience supporting federal government or Department of Defense (DoD) environments Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform Experience with infrastructure-as-code tools such as Terraform, Ansible, or similar technologies Experience with containerization and orchestration technologies, including Docker … Security Technical Implementation Guides (STIGs), NIST frameworks, and cybersecurity best practices Experience supporting highly available and mission-critical hosting environments Microsoft, Red Hat, VMware, AWS, Azure, or related industry certifications Desired Technical Skills Windows Server 2016/2019/2022 Active Directory, Group Policy, DNS, DHCP PowerShell, Bash, Python VMware ...

GitLab , and the Atlassian Suite . Strong problem-solving skills with the ability to design and implement scalable technical solutions. Desirable Experience working within AWS, Azure, or other cloud-native environments. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience supporting highly regulated industries such as Defence ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

microservices or high-throughput backend platforms. Strong programming skills in Python, Java, Kotlin, Go, Scala or similar languages. Experience building and operating services in AWS, Azure or GCP environments. Hands-on experience with Kubernetes, containerisation and cloud-native technologies. Experience implementing CI/CD pipelines and automated deployment processes. Knowledge ...

Strong Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g. ...

Strong Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g. ...

Strong Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g. ...

benefit analysis. Testing and Deployment: Implement testing frameworks to ensure the robustness of AI models. Deploy models in production environments using cloud services like AWS, Google Cloud, or Azure. Performance Monitoring: Continuously monitor the performance of AI models in production. Troubleshoot issues and implement improvements based on feedback and performance …/ML frameworks like TensorFlow, PyTorch, or scikit-learn. Strong understanding of algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.Why we’re differentAt Capgemini, we help organisations across the world become more agile, more competitive ...

architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...