1,576 to 1,600 of 3,673 Infrastructure as Code Jobs

well as floorcare & cleaning products. Our focus is on end-users that range from professionals in the industrial, construction and infrastructure sectors to DIYers in home improvement, repair, and maintenance. TTI’s powerful brand portfolio includes MILWAUKEE®, RYOBI®, AEG® - recognized worldwide for their deep heritage and innovative … competitive advantage that powers our growth. We're seeking Security & Network Engineer who can architect and operationalise a secure, compliant, and agile network and infrastructure backbone. You'll own the design and governance of our network, security policies and infrastructure architecture across hybrid cloud and on-premises environments. ...

colleagues. We’d also welcome experience or an interest in areas such as TypeScript, Node.js, databases, automated testing, CI/CD, containers, infrastructure as code, cloud monitoring or secure software development. These are helpful, but we don’t expect you to bring … them. Experience in engineering, infrastructure, nuclear, high-hazard or other safety-critical environments can be useful, but it isn’t essential. We’re equally interested in what you’ve learned through personal, academic or professional software projects and the contribution you made. Most importantly, we’re looking for someone ...

As an Application Owner and Lead Software Engineer at JPMorganChase within Public Cloud Engineering, you will own the application’s end-to-end operational integrity including controls, audit readiness, resiliency, recovery, and production outcomes, while remaining hands‐on in engineering leadership. You will partner closely with engineering, platform … based services and modern CI/CD practices. Experience operating workloads on AWS and Kubernetes or EKS in a production environment. Practical experience with infrastructure as code using Terraform and supporting release safety through automation. Strong understanding of SDLC best practices, including automated testing, change ...

Trading's core technology infrastructure. The role owns the operational lifecycle of compute, virtualisation, storage, backup, network services, operating systems, data centre infrastructure and core platform services. It is accountable for ensuring infrastructure services meet availability, performance, resilience and cybersecurity requirements while supporting the firm's engineering, trading … data and corporate technology platforms. The position drives automation, infrastructure-as-code adoption, operational simplification and technology lifecycle management, enabling Platform Engineering to provide stable foundations for application delivery, data platforms, AI workloads and business‐critical services. Main Responsibilities Lead the Platform Operations team responsible ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade … documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems ...

enable scalable, consumer-oriented data access Build and optimise batch and real-time pipelines Work with streaming and event-driven technologies such as Kafka, Flink, Kinesis, and Pub/Sub Orchestrate workflows using Airflow, Dataflow, and Glue Process and transform large datasets using Spark and Flink Design production … balance performance, cost, and complexity trade-offs Experience building and operating large-scale data pipelines in production Experience with multiple storage technologies and formats Infrastructure-as-code experience with Terraform or Pulumi Experience with CI/CD pipelines using tools such as GitHub ...

once embedded The Role Ocho is working with a client in Stockport who is looking for an experienced Senior Platform Engineer to join their infrastructure engineering team on a 12-month contract. The immediate focus is a major on-premise to Google Cloud Platform (GCP) migration , so this role … Linux. This is a project-focused engineering role rather than a BAU support position. The team is responsible for designing and delivering new infrastructure and platform solutions, with long-term operational support handed over to a separate TechOps function once projects are complete. You will work as ...

continuous learning, innovation, and solving complex problems. The company is looking for a Cloud Performance Engineer to build and optimise high-performance cloud infrastructure supporting latency-sensitive workloads. The role involves working across cloud, networking, Linux, and automation, collaborating with engineers across the business to improve performance and reliability. … Design and optimise AWS and hybrid cloud environments Work across cloud networking, routing and switching Build and maintain performance and latency monitoring Automate cloud infrastructure and network configurations Develop tooling to collect and analyse performance metrics Troubleshoot performance issues across cloud, network and Linux systems Skills/Must Have ...

manage ongoing changes to live channel configurations. This role sits at the intersection of live operations and platform reliability, so you will work alongside infrastructure, engineering teams, and service providers to support observability, automation, and encoding pipeline health as the FAST ecosystem scales. As … escalating incidents with clear context to engineering or peer technical teams Driving automation of repetitive operational workflows through scripting, and collaborating with cloud infrastructure, operations, or business teams on capacity planning, incident reviews, or retrospectives Driving change management efforts — communicating process or platform changes clearly to partners and internal ...

organisations across organisational boundaries. Commitment to technical quality, inclusive working, knowledge sharing, innovation and continuous improvement. Desirable Experience working with NHS data, health research infrastructure, Secure Data Environments or Trusted Research Environments. Knowledge of NHS datasets, coding systems, data standards and healthcare information flows. Experience of cloud-based data … engineering using Azure, AWS or an equivalent platform. Experience of DevOps, automation, infrastructure-as-code or platform engineering approaches. Knowledge of interoperability standards or common data models such as OMOP, FHIR or openEHR. Knowledge of SATRE, the Data Security and Protection Toolkit ...

production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various … using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools ...

production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various … using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools ...

pipelines that feed them. The platform spans seven domains, chemical identity and registration, chemical safety, inventory, sourcing, reaction data, reference data, and the shared infrastructure underneath. You won't work across all of it, but you won't be boxed into one corner either. We'll match your area … data. Work directly with chemists and operations staff to understand how the work actually happens, not how the spec says it happens. Collaborate with Infrastructure to ensure new work is soundly architected and production-ready. Define and champion engineering and data best practices: versioning, testing, documentation, governance, data contracts. ...

production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various … using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools ...

metrics/logs/tracing) to diagnose issues quickly. Improve platform reliability by hardening pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues—then codify those learnings into better tooling and guardrails. Contribute to CI/CD and developer experience: faster builds, better test signal, safer … Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code Degree in Computer Science or numerical degree Competitive salary DOE 25 days annual leave + your birthday ...

production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various … using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools ...

production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various … using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools ...