3,376 to 3,400 of 8,719 Digital & IT Jobs

production engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps concepts ...

Qualifications Degree in Computer/IT related discipline AWS, Linux or K8s related certifications (desired) ITIL (desired) Windows Server (MCSA/MCSE/Azure Hybrid) About You We need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Role ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

solution Excellent written and verbal communication skills in English Understanding of distributed systems and microservices architecture Understanding of cloud technologies (AWS, GCP, Azure, etc.) Understanding of messaging frameworks (Kafka, RabbitMQ, etc.) Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines #ICBCareers #ICBEngineering J.P. Morgan ...

Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge Preferred qualifications, capabilities, and skills Kubernetes, Azure, Google Cloud Platform, or Terraform certifications Experience working in a follow-the-sun or globally distributed on-call support model Familiarity with large-scale ...

writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production ...

Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL and NoSQL). Familiarity with cloud platforms (AWS, Azure) and their data services. Understanding of data modeling and data architecture principles. Experience with data warehousing concepts and technologies. Experience with message queues ...

software engineering team Run threat modeling and security reviews for new architecture and significant features. Improve cloud security posture across AWS (primary) and Azure, partnering with platform/infra. Lead technical incident response for application‐layer incidents; coordinate with SOC and vCISO on cross‐domain incidents. Build security ...

Power BI, SSRS, or similar data and BI technologies. • Experience partnering closely with Data Architecture teams. • Familiarity with tools such as Visio, Azure DevOps, JIRA, Confluence, Miro Working For Pacific Life Re Every person in our global team is valued for the unique qualities they bring ...

skills demand within the company, certifications etc.## **YOUR PROFILE*** Must have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP).* Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes.* Experience and knowledge ...

other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure). Understanding of Accessibility testing. What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays ...

Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization You excel in fast-paced environments and can execute while priorities and objectives are a moving target ...

precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track record of deploying ML models at scale in self-driving products ...

technical consultancy or solution architecture. Working knowledge of SQL and confidence interrogating data to support your own analysis (desirable). Familiarity with Jira, Azure DevOps or an equivalent backlog tool, and with wireframing or prototyping tools. Excellent written communication. Precise, unambiguous documentation is a core output of this ...

orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud-native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry ...

bank’s own environment and tooling. Current technologies across the portfolio: Java, Python, C#/.NET, SQL and data engineering, AWS and Azure, CI/CD and testing practice, and the current generation of AI and agentic development tooling. What you will be accountable for Technical correctness. ...

Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization You excel in fast-paced environments and can execute while priorities and objectives are a moving target ...

OpenTelemetry (OTEL) to establish End-To-End Monitoring across our business flows Good understanding of most recent technologies, be it cloud (GCP, AWS, Azure), programming languages (Java, JavaScript, Python), databases (Postgres, BigQuery, MongoDB), Messaging (MQ, Kafka) or other solutions Proven ability to leverage AI tools to enhance productivity ...

pipeline development – Agile and DevOps Coalesce – Data modelling and data marts – CI/CD and test automation SQL – Metadata-driven pipelines – Performance tuning Azure cloud data platforms – Structured and semi‐structured data – Secure development Cloud and on‐premise integration – Batch and near real‐time processing – Troubleshooting ...

such as MEDDPICC, Command of the Message, or similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB ...

meet Python, Rust and C# here, but we don't expect you to arrive knowing them all. Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written. Comfort with data ...

resolving and troubleshooting complex infrastructure incidents, including work with observability (Essential) Demonstrable experience of cloud‐based infrastructure environments, with a strong understanding of Azure, AWS or GCP services and best practices. (Essential) Experience working with SQL Server environments, supporting stability, performance, and ongoing improvements (Desirable) In depth experience ...

/interest in datastore technology such as MySQL and/or Cassandra. Hands‐on experience with public cloud platforms (we use AWS, but Azure/GCP are fine). Practical background in Infrastructure as Code and Configuration Management (e.g., Terraform, Puppet, Ansible, or similar). Relevant experience with ...

/interest in datastore technology such as MySQL and/or Cassandra. Hands‐on experience with public cloud platforms (we use AWS, but Azure/GCP are fine). Practical background in Infrastructure as Code and Configuration Management (e.g., Terraform, Puppet, Ansible, or similar). Relevant experience with ...

Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. Strong ...