2,976 to 3,000 of 4,505 Observability Jobs

Distributed systems and real-time data over REST, WebSockets, and network protocols Architecture and solution design for the hardest technical problems the team faces Observability and monitoring — dashboards, alerting, and metrics that make frontend behaviour visible Production systems that handle real money — reliability is not optional What We Need Technical ...

Distributed systems and real-time data over REST, WebSockets, and network protocols Architecture and solution design for the hardest technical problems the team faces Observability and monitoring — dashboards, alerting, and metrics that make frontend behaviour visible Production systems that handle real money — reliability is not optional What We Need Technical ...

turns out to be the wrong answer. The systems you write control real hardware doing real biology, so correctness, recoverability, and observability matter more here than they do in most software work. Key Responsibilities Design and build the software that orchestrates autonomous laboratory systems, including scheduling, workflow execution, state management ...

Distributed systems and real-time data over REST, WebSockets, and network protocols Architecture and solution design for the hardest technical problems the team faces Observability and monitoring dashboards, alerting, and metrics that make frontend behaviour visible Production systems that handle real money reliability is not optional What We Need Technical ...

Distributed systems and real-time data over REST, WebSockets, and network protocols Architecture and solution design for the hardest technical problems the team faces Observability and monitoring dashboards, alerting, and metrics that make frontend behaviour visible Production systems that handle real money reliability is not optional What We Need Technical ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra) Comfortable owning code ...

Craft Define and build systems that compound in capability and scale, and that can be orchestrated across all of Reap's global hubs Build observability into every layer; lead incident response and drive continuous reliability improvements Define and measure success metrics for continuous improvement, using data to get 1% better ...

engineers and technical leads whilst still delivering value across distributed, cross‐functional teams. Demonstrable experience working in an ownership culture where quality, performance, observability, and security are core responsibilities for every engineer An understanding and opinion on how AI‐first engineering will change the data ecosystem and ways of working ...

Prefect, Fivetran and Snowflake. Our production services run on AWS and Vercel. We automate infrastructure and configuration using Pulumi and GitHub Actions. Our observability stack is built up of Datadog and Sentry. What We Offer Compensation: £75,000 – £100,000 (experience dependent) Equity: Meaningful ownership in a fast-growing company ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

standard System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or APIs, GCP-shaped infra) Comfortable owning code ...

leader. Excellent written and spoken English. Advantage: experience building and running systems at massive scale (2+ million requests per minute), deep knowledge of observability tooling (Kibana, Grafana, Prometheus), and a passion for introducing new practices. Advantage: AWS security depth (IAM, KMS, multi‐account and multi‐region architecture), or hands ...

stand up your own infrastructure and CI/CD and get code to users without a platform team A testing-in-production mindset: observability and feedback loops, because "works on my machine" doesn't survive a clinic Product instincts: you ask what the user is trying ...

Domain****ECS covers the following product and capability areas:*** Email threat detection and prevention* Email security efficacy* Collaboration security* DMARC analyzer* Data platform and observability* Analysis and Response* End user application integration* Internal operations enablement**What You Will Do*****Lead from Problem Space, Not Solution Space***The role engages ...

wider strategy and commitments. Operational Excellence: Setting high standards and driving engineering best practice across the AI platform stack. This includes focusing on observability (monitoring, logging, tracing) for the cloud‐native solution, participating in peer reviews, and facilitating the maintenance of engineering standards, reliability, and performance. Squad Empowerment: Contributing ...

data moves between our application, warehouse and product surfaces. Build clean, well-tested and reusable solutions using Python, SQL and dbt. Improve data quality, observability and reliability so teams can trust the data they use. Work with product, engineering, commercial teams and educational experts to understand problems, shape solutions ...

shared components from design through implementation, iteration, and maintenance. Write production-quality code: build scalable, robust, maintainable Python software with strong testing, documentation, and observability practices. Onboard a cyber range: deploy a new cyber range on AISI's evaluation infrastructure (for example, Proxmox) and verify it meets the internal Evaluation ...

agentic safety at enterprise scaleAI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads ...