601 to 625 of 4,225 Infrastructure as Code Jobs

with clients to understand business and technical requirements and translate them into cloud-based architectural solutions. • Design and architect scalable, reliable, and secure cloud solutions using platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). • Conduct cloud assessments and provide recommendations on migration strategies, including lift-and-shift, re-platforming, and refactoring. … with strong customer-facing exposure. • Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and familiarity with the others. • Strong understanding of cloud infrastructure, microservices, containerization (e.g., Docker, Kubernetes), and serverless architectures. • Proficiency in creating architecture diagrams, technical documentation, and deployment models. • Familiarity with CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and automation tools. • Solid understanding of cloud security principles, IAM, encryption, network security, and compliance standards (e.g., ISO 27001, GDPR). • Excellent communication and client interaction skills; able to bridge the gap between business needs and technical solutions. • Strong analytical and problem-solving skills, with an ability to work independently and collaboratively. More ❯

is not feasible, ensuring accuracy and rollback readiness. Design, implement, and maintain automated deployment pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins. Collaborate with development, QA, and infrastructure teams to ensure deployment readiness and environment stability. Maintain detailed release documentation, schedules, and change logs. Monitor deployments for performance, failures, and compliance with governance standards. Drive continuous improvement … master’s degree in computer science, Information Systems, or related field. Experience with Power BI REST APIs, Tabular Editor, or deployment pipelines. Knowledge of cloud platforms (Azure, AWS) and infrastructure as code (e.g., Terraform). Exposure to Agile/Scrum methodologies and release planning. More ❯

is not feasible, ensuring accuracy and rollback readiness. Design, implement, and maintain automated deployment pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins. Collaborate with development, QA, and infrastructure teams to ensure deployment readiness and environment stability. Maintain detailed release documentation, schedules, and change logs. Monitor deployments for performance, failures, and compliance with governance standards. Drive continuous improvement … master’s degree in computer science, Information Systems, or related field. Experience with Power BI REST APIs, Tabular Editor, or deployment pipelines. Knowledge of cloud platforms (Azure, AWS) and infrastructure as code (e.g., Terraform). Exposure to Agile/Scrum methodologies and release planning. More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

London (Tuesdays, Thursdays WFH) Pay: negotiable, inside IR35 We're looking for an experienced DevOps Engineer to join our team on a contract basis, with a focus on AWS infrastructure, observability tooling, and CI/CD automation. This is a hands-on role supporting high-availability systems, rapid deployments, and production incident response. Key Responsibilities Manage and monitor AWS … infrastructure for performance and security Respond to production incidents, perform root cause analysis, and implement fixes Maintain observability tools (Prometheus, Grafana, Splunk) and write PromQL queries Improve and operate CI/CD pipelines using GitHub Actions and Kubernetes Automate infrastructure tasks with Python, Bash, Go or SQL Work with Git-based workflows for infrastructure as code Troubleshoot Kubernetes workloads and containerised services Participate in an on-call rotation to ensure system reliability Your Profile Essential Solid hands-on AWS experience in a DevOps setting Background in incident, change, and problem management Strong with Prometheus, Grafana, Splunk, and PromQL Proficient in scripting (Python, Go, Bash, SQL) Skilled in GitHub, CI/CD More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is … culture of the company. Mentor your current colleagues, raising the bar for the company. Help co-hire your future colleagues. Our tech stack : We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We use Postgres … and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. Problem solving: Strong More ❯

Benefiting people, planet and profit. How You'll Make an Impact as a Senior Platform Engineer Design, deploy, and maintain highly available, secure, and cost effective cloud infrastructure on AWS. Leverage Infrastructure as Code tools like Terraform to streamline deployments and reduce manual work. Ensure maximum uptime, performance, and scalability by implementing … Actions, GitLab CI/CD, or Azure DevOps to enable fast and reliable releases. Strong experience with Python or Go, particularly for scripting and automation. Ability to troubleshoot complex infrastructure challenges and mentor engineers. Experience implementing IAM roles, security groups, encryption, and compliance standards. Strong teamwork and stakeholder management skills. Don't worry if you don't have everything … unique backgrounds, traditions, and perspectives, strengthening bonds across teams and departments. Our commitment to embracing diversity not only enhances the work experience but also fuels innovation and creativity, as varied viewpoints contribute to our mission of creating sustainable supply chains for the benefit of people, planet, and profit. Additional Benefits: Performance bonus Hybrid Working Interest Free Company loan More ❯

Role Introduction Join our team, where our customers and cloud technology are at the core of everything we do. As a Professional Services Azure Architect, you will play an important role in guiding customers on their cloud journey, from architectural design, delivery, and operational support. You will be a trusted expert, providing best practice guidance on technical architecture … pre-sales team on Azure opportunities. Guide customers through their journey with OneAdvanced, from understanding technical/non-technical requirements to delivery and operational support. Architect and migrate customer infrastructure to Microsoft Azure. Design and deploy secure, best practice-compliant technical solutions that align with the customer's overall IT strategy. Serve as a Cloud Advisor for … Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. (Big Picture) mindset, working with customers to transform their infrastructure. Technical experience in: Cloud Migrations, Infrastructure as Code (ideally Terraform), CI/CD pipelines, DevOps automation, Azure Networking, Azure Identity, Azure Virtual Desktop, Cloud-native architecture (containers, serverless, and other services More ❯

variety of disciplines. About the team At Roku, our Trust Engineering team is a close-knit group of passionate professionals. Our mission? To protect our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of the curve. Join us, and you’ll be part of a dynamic team that thrives on … and assist in incident response and other security investigations. Developing (or extending OSS) security automation tooling. This can range from detection tooling to security process automation, or a fuzzing infrastructure to find bugs. End-to-End Security Solutions: Architect, design, and implement security controls. Your work will directly impact our global user base. Automation Focus: Develop automated, scalable security … with expertise in securing, hardening, authentication, authorization, and auditing of databases. Proficiency in understanding authentication, authorization, and cryptography, with familiarity around modern security standards and best practices. Experience with Infrastructure-as-Code using Terraform Experience deploying and operating infrastructure in at least one public cloud provider (AWS, GCP, or Azure) Passion for cybersecurity with More ❯

the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview As a Senior Engineer - Threat Modelling you will be a part of a smart cross-functional team delivering digital business transformation solutions to our clients. This position entails an individual … a rigorous standard of excellence in identifying potential threats and specifying effective mitigation controls. Manage the lifecycle of identified threats and associated controls, ensuring timely updates and adjustments as necessary. Deliver comprehensive threat models and related tasks within specified timeframes. Offer constructive feedback, support, and suggestions for enhancing the existing threat modeling process. Present findings and progress updates … with threat modeling methodologies such as MITRE ATT&CK, STRIDE, PASTA etc. Overall experience in Cybersecurity: 5+ years Security practices encompassing authentication, authorization, logging/monitoring, encryption, infrastructure security, and network/segmentation Knowledge of cloud security frameworks Knowledge of Rest API Knowledge in scripting languages and Infrastructure as Code (Terraform, CloudFormation More ❯

you are free to grow and contribute actively. About Role: We are a high-performing systems engineering team operating in a fast-paced enterprise environment, focused on modernising our infrastructure while upholding strict security and compliance standards. Our engineers work with Microsoft Hyper-V and a range of hybrid technologies to ensure our on-premises systems are cloud-ready … scalable, and resilient. We are looking for candidates who are passionate about infrastructure modernisation, experienced in virtualisation and hybrid cloud strategies, and capable of delivering secure, efficient solutions in a highly regulated environment. Requirements: Hands-on experience with Azure and/or AWS cloud platforms. Have extensive experience in managing Kubernetes in production environments. Proficiency in scripting (e.g., Python … Bash, PowerShell, TypeScript). Familiarity 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 More ❯

a developing interest in cyber security and secrets management to join our team. The ideal candidate will contribute to ensuring the reliability, performance, and scalability of our platform and infrastructure while learning and implementing security best practices. This role involves working collaboratively with cross-functional teams and implementing new functional features, operational improvements and cyber security practices under the … in monitoring system performance, reliability, and security, helping to identify and resolve issues. Troubleshoot and resolve issues across environments, contributing to root cause analysis and incident management post-mortems. Infrastructure Automation, Management, and Security: Contribute to automating infrastructure provisioning, configuration, and deployment processes with a focus on security. Assist in implementing and managing CI/CD pipelines to … streamline software delivery while adhering to security best practices. Support infrastructure security and compliance efforts. Secrets Management: Assist in the implementation and management of secrets management solutions to securely store sensitive information. Learn and apply system security principles and best practices around secret and key management. Promote best practices for secrets management within the organization. Collaboration and Communication: Collaborate More ❯

tools that support mission-critical operations across defense and intelligence domains. Key Responsibilities UI Development Design and implement responsive, accessible, and performant web interfaces using modern frameworks such as Angular, React, or Vue. Collaborate with UX researchers and designers to translate user needs into elegant front-end solutions AI Tool Development Develop and integrate AI/ML models … APIs and services that expose AI capabilities to internal and external consumers Data Tool Development Design and implement data pipelines, dashboards, and analytics tools using AWS services such as Glue, Athena, Redshift, and QuickSight. Automate data ingestion, transformation, and visualization workflows Cloud Engineering (AWS) Deploy and manage applications using AWS services, including Lambda, ECS, S3, CloudFormation, and CDK. … on UI, AI, or data tools. Proficiency in JavaScript/TypeScript, Python, and at least one cloud-native language (e.g., Go, Java). Experience with AWS cloud services and infrastructure-as-code tools like Terraform or CloudFormation. Familiarity with containerization (Docker, Kubernetes) and microservices architecture More ❯

Security & Compliance Enforce security policies: access control, encryption, and auditing. Ensure regulatory compliance (e.g., GDPR, HIPAA). Manage RBAC and integrate with Azure Active Directory (AAD). 3. Automation & Infrastructure as Code Automate DBA tasks using PowerShell, Bash, or Python. Use Terraform or ARM templates for provisioning and managing infrastructure. Monitoring & Troubleshooting Monitor database health … Azure Monitor, Log Analytics, and third-party tools (e.g., pgAdmin, Datadog). Troubleshoot issues like deadlocks, slow queries, and connection problems. 5) Collaboration & Support Work with DevOps, development, and infrastructure teams. Provide guidance on database design and performance optimization. Participate in on-call rotations for 24/7 production support Required Skills & Experience 5+ years as a More ❯