self-service automation. Work on incident resolution and engage with various teams (including 3rd parties) for support escalation. You are a good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in … including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and, desirably, the deployment) of e.g. ELK, CloudWatch, Fluentd, to enable forensic log analysis and system tuning as well as data-driven performance analysis (i.e. SLI/SLO) and capacity planning. You are a competent Linux & Windows More ❯
London, England, United Kingdom Hybrid / WFH Options
BBC
and maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … Jenkins. Integrate monitoring and observability tools such as AWS CloudWatch, Prometheus, Grafana for infrastructure and model health tracking. Ensure software quality through Test-Driven Development (TDD), unit testing frameworks (e.g., pytest, unittest), and automated integration tests. Conduct regular code reviews, participate in pair programming, and advocate for clean code, modular design, and maintainable architecture. Collaborate with architects and stakeholders …/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows More ❯
Associate . Preferred Qualifications Experience in hybrid cloud environments and integration with on-premise systems. Background in DevOps, SRE, or Infrastructure Engineering. Knowledge of monitoring/logging tools (e.g., CloudWatch, Datadog, Prometheus, ELK). Experience with enterprise security and compliance frameworks (e.g., ISO 27001, SOC 2, GDPR). Familiarity with cost modeling and optimization strategies in AWS. More ❯
Systems Development Engineer, Managed Operations Job ID: Amazon Development Centre Ireland Limited - D94 AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems development engineers with a strong background in automation and operations. As part of the AWS Managed … innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in … Productivity Apps services in AWS. Within AWS UC, Managed Operations engineers engage with AWS customers who require specialized security solutions for their cloud services. A day in the life Amazon is looking for highly motivated Systems Development Engineers who can balance the day-to-day operations of AWS' software systems with long-term software engineering to reduce operational toil. More ❯
collaboration in achieving business and technical goals. Monitoring and Alerts: Implement and maintain robust monitoring, alerting, and logging systems to detect issues before they impact the business, using AWS CloudWatch, Prometheus, Grafana, etc. Cost Management: Help optimize AWS costs while maintaining operational efficiency and reliability. Required Qualifications: Experience: 8+ years of experience in Site Reliability Engineering, DevOps, or similar … roles, with at least 2 years in a leadership position. AWS Expertise: Extensive experience with AWS services, such as EC2, S3, Lambda, RDS, VPC, CloudFormation, CloudWatch, etc. Hands-on experience with cloud architecture and design. SRE Best Practices: Deep understanding of SRE principles and frameworks, including SLOs, SLIs, and Error Budgets. Incident Management: Proven experience in incident management, including More ❯
routing, VPNs) Preferred: Exposure to Infrastructure-as-Code tools (Terraform or CloudFormation) Experience working with CI/CD pipelines and Git workflows Knowledge of logging and monitoring tools (e.g., CloudWatch, ELK, Grafana) Exposure to container technologies like Docker Interest in financial markets or experience with trading system infrastructure If you are interested and looking to be part of a More ❯
Bash, TypeScript, and PowerShell. Familiarity with DevOps & Site Reliability Engineering (SRE) principles , practices , and tools . Hands-on experience with monitoring and logging solutions (e.g., New Relic, Coralogix , AWS CloudWatch, Azure Monitor). S t rong problem-solving , stakeholder management , written, and verbal communication skills. Proven experience managing multiple projects and topics simultaneously. Work in a way that works More ❯
and SRE principles Very good working knowledge of incorporating testing into CI/CD pipelines Understanding of various deployment patterns such as blue-green and canary Platforms; Windows Server, Amazon Linux, RHEL, Ubuntu Proficiency in at least one of the following scripting languages; Python, GO, PowerShell, Bash, Groovy Developer tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype Nexus … Knowledge and working experience of containerising application components including writing DockerFiles and deploying to Kubernetes Deep understanding of pipelines as code Observability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch #J-18808-Ljbffr More ❯
tools such as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices … background in networking, Linux or Windows administration, with the ability to architect secure, performant, and highly available cloud solutions. Proficiency with monitoring and log analytics tools such as AWS CloudWatch, ELK Stack, Prometheus, Datadog, or New Relic, to maintain observability and ensure operational excellence. Demonstrated leadership skills in managing complex, high-pressure situations and guiding teams through incident resolution. … tools such as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expert More ❯
At least 7 years of experience in designing and implementing cloud-based solutions. Extensive hands-on experience with AWS Cloud Technologies (EC2, S3, Lambda, VPCs, Transit Gateway, Direct Connect, CloudWatch, etc.). Proficient in Python or PowerShell for infrastructure scripting and automation tasks. Strong experience with Infrastructure as Code (Terraform, CloudFormation, Ansible). Proven experience designing and deploying CI More ❯
with Infrastructure as Code and DevOps practices. Knowledge of Hyper-V management. Understanding of networking, security, and system administration (Linux/Windows). Experience with monitoring tools (e.g., DataDog, CloudWatch, Azure Monitor). Strong communication and collaboration skills. Responsibilities: Deploying and managing Kubernetes clusters, including networking, storage, and security. Collaborating with development and platform teams to deliver scalable, secure More ❯
in production. Good to Have: Experience with Scala for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own More ❯
DB tools across MySQL/MariaDB along with SQL queries and procedures. The role will include utilisation of AWS Cloud technologies and infrastructure, including monitoring tools such as AWS CloudWatch, New Relic and Zabbix. It will encompass AWS services and technologies particularly related to hosting and scaling applications, such as EC2, S3, Lambda, and IAM, and knowledge of concepts More ❯
DB tools across MySQL/MariaDB along with SQL queries and procedures. The role will include utilisation of AWS Cloud technologies and infrastructure, including monitoring tools such as AWS CloudWatch, New Relic and Zabbix. It will encompass AWS services and technologies particularly related to hosting and scaling applications, such as EC2, S3, Lambda, and IAM, and knowledge of concepts More ❯
AWS. Automation experience (e.g., Terraform, Ansible, CI/CD tools). Strong understanding of infrastructure and cloud architecture. Experience supporting production environments. Familiarity with observability tools (e.g., Prometheus, Grafana, CloudWatch). Excellent problem-solving and communication skills. Desirable Experience working in a fast-paced or agile development environment. Familiarity with container technologies (e.g., Docker, Kubernetes). Previous experience in More ❯
AWS. Automation experience (e.g., Terraform, Ansible, CI/CD tools). Strong understanding of infrastructure and cloud architecture. Experience supporting production environments. Familiarity with observability tools (e.g., Prometheus, Grafana, CloudWatch). Excellent problem-solving and communication skills. Desirable Experience working in a fast-paced or agile development environment. Familiarity with container technologies (e.g., Docker, Kubernetes). Previous experience in More ❯
deployment pipelines using GitHub Actions and Kubernetes. Maintain robust monitoring, alerting, and CI/CD systems. Skills/Must have: Strong hands-on experience with AWS (eg EC2, EKS, CloudWatch, Lambda). Background in incident, change, and problem management; comfortable with on-call rotations. Expertise in Prometheus, Grafana, and Splunk; solid knowledge of PromQL. Proficient in Scripting/programming More ❯
above Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS Hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS Knowledge and experience on Kubernetes is advantageous Experience in building scalable, distributed REST/HTTP-based microservices on hybrid cloud environments Experience with high concurrency applications, multithreading More ❯
above Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS Hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS Knowledge and experience on Kubernetes is advantageous Experience in building scalable, distributed REST/microservices on hybrid cloud environments Experience with high concurrency applications, multithreading, low-latency More ❯
where it makes sense. -Use ORMs and validation frameworks (e.g. Django ORM, Pydantic, SQLAlchemy) to model and persist data cleanly. -Help monitor and debug production systems using tools like CloudWatch, X-Ray, and structured logging. -Collaborate on prototype-to-production projects - balancing speed and stability depending on context. What we’re looking for: -Experience: 3+ years in data engineering … a cloud-native environment. -Database Familiarity: Skilled in both SQL and NoSQL (PostgreSQL, DynamoDB, OpenSearch, or equivalents), using ORMs like Django or SQLAlchemy. -Observability & Monitoring: Comfortable using tools like CloudWatch, X-Ray, and structured logging to keep systems running smoothly. -Mindset: Curious, Collaborative, and Proactive - you enjoy solving problems hands-on and aren’t afraid to experiment, learn, and More ❯
where it makes sense. -Use ORMs and validation frameworks (e.g. Django ORM, Pydantic, SQLAlchemy) to model and persist data cleanly. -Help monitor and debug production systems using tools like CloudWatch, X-Ray, and structured logging. -Collaborate on prototype-to-production projects - balancing speed and stability depending on context. What we’re looking for: -Experience: 3+ years in data engineering … a cloud-native environment. -Database Familiarity: Skilled in both SQL and NoSQL (PostgreSQL, DynamoDB, OpenSearch, or equivalents), using ORMs like Django or SQLAlchemy. -Observability & Monitoring: Comfortable using tools like CloudWatch, X-Ray, and structured logging to keep systems running smoothly. -Mindset: Curious, Collaborative, and Proactive - you enjoy solving problems hands-on and aren’t afraid to experiment, learn, and More ❯
South West London, London, England, United Kingdom
Oscar Technology
Lead on Terraform-based IaC and support cloud-native infrastructure evolution Build and optimise CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) Implement robust monitoring and alerting solutions (CloudWatch, Azure Monitor, Grafana, ELK) Own incident response processes, ensuring high availability and rapid resolution Collaborate with stakeholders to communicate solutions and technical trade-offs clearly Ideal Experience More ❯
Skills & Experience: Experience leading SRE transformations Hands-on expertise with Kubernetes (EKS preferred) in production Strong experience with AWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Proficiency in Infrastructure as Code using Terraform and knowledge of GitOps workflows Strong background in observability: metrics, visualization, logging, tracing Understanding of automation, CI/CD pipelines, deployment More ❯
