26 to 50 of 257 Remote/Hybrid Deployment Automation Jobs

deliver solutions that are adopted in real workflows and can be supported in production. Key Responsibilities Rapid Prototyping & Application Delivery: Lead the design, build, deployment, and operationalization of cloud-native AI applications, using modern software engineering practices, CI/CD pipelines, and automated testing to accelerate reliable delivery. Business … scalable data models and technical specifications. Forward-Deployed AI Engineering: Embed with The Core business teams to map workflows, identify pain points, assess agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration ...

deliver solutions that are adopted in real workflows and can be supported in production. Key Responsibilities Rapid Prototyping & Application Delivery: Lead the design, build, deployment, and operationalization of cloud-native AI applications, using modern software engineering practices, CI/CD pipelines, and automated testing to accelerate reliable delivery. Business … scalable data models and technical specifications. Forward-Deployed AI Engineering: Embed with The Core business teams to map workflows, identify pain points, assess agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration ...

microservices, and modern observability platforms supporting securities processing and settlement functions. This position combines traditional application support responsibilities with Site Reliability Engineering (SRE) principles, automation, resiliency engineering, and operational risk management. The ideal candidate will be passionate about improving platform reliability, reducing operational toil, and driving continuous service improvements … including interaction with senior management and business partners. Ability to operate effectively in a fast-paced, global environment. Demonstrated ability to identify opportunities for automation and continuous improvement. Strong collaboration, relationship-building, and influencing skills. Service-oriented mindset with a commitment to operational excellence. Passion for learning and adopting ...

taking ownership of complex features or services end to end. Hands‐on experience with AWS - or other - cloud-native development, automated testing, and deployment practices that support reliable delivery. Comfort working with SQL databases, Git, Docker‐based workflows, and modern CI/CD pipelines. Practical understanding of AI‐assisted ...

such as Elasticsearch and Numaflow. Develop, deploy and support cloud-based solutions within Microsoft Azure. Implement and maintain CI/CD pipelines and automated deployment processes. Support the development of reliable, secure and scalable infrastructure. Troubleshoot and optimise applications, integrations and platform performance. Collaborate with software engineering, data … infrastructure teams to deliver robust technical solutions. Essential Skills & Experience Python: Strong hands-on development experience, including building applications, APIs, automation and data processing solutions. Elastic/Elasticsearch: Experience working with Elasticsearch, including data indexing, querying, integration and optimisation. Numaflow: Experience with Numaflow or similar technologies for building real ...

next generation of AI-driven innovation. We're partnering with a prestigious global professional services organisation that is investing heavily in cloud engineering, automation and emerging AI technologies. This is an opportunity to join a dedicated Global Innovation function , operating outside the traditional IT structure, with a remit … Microsoft Azure and/or Google Cloud Platform (GCP) . Develop and manage Infrastructure as Code (IaC) using Terraform . Support the development and deployment of innovative applications, including AI, LLM and agentic AI solutions. Build and improve CI/CD pipelines, deployment automation and engineering workflows. ...

delivered across a large enterprise environment. The team is continuing to develop its SRE capability, with a significant pipeline of projects focused on automation, reliability and improving the way engineering teams deliver and operate services. The role The successful candidate will work across Azure, Kubernetes, automation and production … engineering and delivery teams. Key areas of responsibility will include: Improving the reliability, performance and resilience of cloud-based services Reducing manual intervention across deployment and release processes Automating repetitive operational tasks and reducing engineering toil Helping develop SRE practices around SLOs, error budgets and reliability Supporting and improving ...

implementation challenges Engineering Best Practice Promote software engineering best practices including testing, code reviews and version control Support CI/CD adoption and deployment automation Contribute to coding standards and engineering governance Drive continuous improvement across development and support processes Mentor junior engineers and contribute to knowledge sharing ...

secure, scalable and resilient integration architectures. You will work closely with engineering, platform, DevOps and architecture teams to establish API standards, integration patterns, automated deployment approaches and secure connectivity across Azure environments. Key Responsibilities Lead the end-to-end architecture and design of enterprise integration solutions across Azure ...

secure, scalable and resilient integration architectures. You will work closely with engineering, platform, DevOps and architecture teams to establish API standards, integration patterns, automated deployment approaches and secure connectivity across Azure environments. Key Responsibilities Lead the end-to-end architecture and design of enterprise integration solutions across Azure ...

reliably, predictably, and securely across cloud-native, on-premise, and strictly air-gapped environments. Releasing software at Valarian is not a typical SaaS continuous deployment pipeline. Because Acra operates as an enclave citadel in high-consequence environments (defense, government, and highly regulated enterprise), our releases must meet strict cryptographic … verification, zero-trust integrity, and reproducible build standards. You will build and maintain the secure build systems, artifacts, release tooling, and deployment automation that allow engineering teams to ship high-velocity code without compromising security, compliance, or operational resiliency. What you’ll do: Own the Release Lifecycle: Build ...

cloud environment. AWS is preferred, but equivalent depth in Azure or Google Cloud will be considered. Knowledge of CI/CD, source control, deployment automation, and infrastructure as code. Experience with Docker and exposure to Kubernetes, Cloud Foundry, or similar platforms. Working knowledge of Linux, networking, APIs, identity … Experience with monitoring and observability tools. Working knowledge of Python, with the ability to read existing code, troubleshoot applications, make straightforward changes, and write automation scripts. Strong communication and incident management skills, comfortable being the calm point of contact during an incident and explaining technical issues to business audiences. ...

with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito A genuine grasp of SOLID, Design Patterns, Clean Code and TDD; confident ...

with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito A genuine grasp of SOLID, Design Patterns, Clean Code and TDD; confident ...

with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito A genuine grasp of SOLID, Design Patterns, Clean Code and TDD; confident ...

Boot AWS cloud infrastructure, including serverless technologies Microservices and distributed systems Docker and Kubernetes Terraform and Infrastructure as Code CI/CD and automated deployment pipelines Test-Driven Development (TDD) Pair programming and Agile/XP practices You don't need to have worked with every technology listed. Strong ...

Lambda, S3, CloudFront and API Gateway. PostgreSQL, relational database design and query optimisation. Terraform and Infrastructure as Code. Git, CI/CD and automated deployment pipelines. AI-Augmented Engineering Practical experience using AI-assisted development tools such as Claude Code, GitHub Copilot or Devin AI. Ability to direct, review ...

observability and operational support. Work with engineering teams on DevOps and CI/CD approaches, helping ensure that architecture supports effective automated build, test, deployment and operation. Understand and contribute to Infrastructure as Code approaches, particularly Terraform, and how infrastructure design and application architecture work together. Define and assure ...

observability and operational support. Work with engineering teams on DevOps and CI/CD approaches, helping ensure that architecture supports effective automated build, test, deployment and operation. Understand and contribute to Infrastructure as Code approaches, particularly Terraform, and how infrastructure design and application architecture work together. Define and assure ...

implement data models working with PostgreSQL and cloud-native data services, and build and maintain CI/CD pipelines with automated testing, linting and deployment as standard. On the frontend, you will build modern, responsive user interfaces using React with TypeScript, collaborating closely with Product and Design to translate ...

solutions – and expert advice. Many of our clients look to us to lead across the full software lifecycle, from initial conception through to production deployment and beyond. Our Platform Engineers are a vital part of this – designing, building and managing cloud infrastructure and delivery platforms to support modern DevOps … practices. Their work includes CI/CD processes and deployment pipelines, building the platform infrastructure to deliver robust, cost-effective services to end users at scale, and supporting all stages of migrating complex systems from on-premises infrastructure to a multitude of cloud providers. These are hands-on, client ...

capabilities. Working with cloud databases and helping ensure they remain reliable, scalable and performant. Developing IAM templates and improving identity and access processes. Building automation and improving the way environments are provisioned and managed. Identifying areas where the existing platform can be made more scalable, resilient and efficient. Contributing ...

secure, scalable and reliable solutions that connect ecommerce, ERP, warehouse and operational platforms. A key focus will be modernising existing systems, improving performance, introducing automation and supporting continuous improvement, with responsibility for delivering high-quality engineering solutions from initial requirements through to deployment and ongoing support. Duties … Identify and implement opportunities to automate manual processes and improve application reliability and business efficiency. Contribute to Git-based workflows, CI/CD, monitoring, deployment automation and improved engineering standards. Improve integration resilience through validation, logging, error handling, reconciliation and recovery controls. Support the development of AI-enabled ...

secure, scalable and reliable solutions that connect ecommerce, ERP, warehouse and operational platforms. A key focus will be modernising existing systems, improving performance, introducing automation and supporting continuous improvement, with responsibility for delivering high-quality engineering solutions from initial requirements through to deployment and ongoing support. Duties … Identify and implement opportunities to automate manual processes and improve application reliability and business efficiency. Contribute to Git-based workflows, CI/CD, monitoring, deployment automation and improved engineering standards. Improve integration resilience through validation, logging, error handling, reconciliation and recovery controls. Support the development of AI-enabled ...

evaluation and quality infrastructure that makes AI shippable: offline and online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production. Establish observability for the AI platform, including monitoring, alerting, logging, and distributed tracing … data, code, prompts, and model artifacts, and an audit trail that can withstand customer and regulatory scrutiny. Contribute to the infrastructure-as-code and deployment automation for the AI platform (CloudFormation, AWS CDK), partnering with the team that owns production deployments to support multi-tenant infrastructure, online upgrades ...