151 to 175 of 411 Permanent Observability Jobs

with web application services. Familiarity with Test-Driven Development and Behaviour-Driven Development Experience in API design, development, and integration. Knowledge of monitoring and observability systems. Understanding of modern digital delivery processes and agile methodologies. Working knowledge of the Atlassian toolset. Experience with JavaScript front-end frameworks and core front ...

with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native orchestration (Docker, Kubernetes, Helm) and observability tooling (Prometheus, Grafana, Jaeger). Proven ability to translate cutting-edge research into engineered solutions that can scale globally. Why this role stands out Influence ...

Microservices and distributed system design Experience with AI/LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM) GCP experience and DevOps best practices (monitoring, observability, CI/CD) PostgreSQL and relational data modelling Event-driven systems (Pub/Sub, Kafka) and NoSQL (e.g. MongoDB) Experience building and running production SaaS ...

Familiarity with MQTT and messaging protocols used in distributed systems Experience with Qt and GUI development for Windows and Linux environments Working knowledge of observability concepts, incident response and long-term reliability strategies Exposure to hardware-in-the-loop (HIL) testing and embedded diagnostics Benefits ...

Familiarity with MQTT and messaging protocols used in distributed systems Experience with Qt and GUI development for Windows and Linux environments Working knowledge of observability concepts, incident response and long-term reliability strategies Exposure to hardware-in-the-loop (HIL) testing and embedded diagnostics Benefits ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

quantitative models, enterprise data pipelines, and real-time reasoning systems. Evolve team structures and capacity models to optimize delivery. Own safety, security, compliance, and observability of AI systems operating in production investment environments. Maintain deep awareness of emerging AI technologies, agentic patterns, and best practices. How Success Is Measured Strength ...

Contributing to architectural decisions while remaining grounded in delivery Helping your squad plan effectively using a now/next/later mindset Championing reliability, observability, and supportability. You build it, you help run it Improving automation, CI/CD pipelines, and engineering standards incrementally Supporting and mentoring others through pairing ...

enable fast, reliable testing at scale. Coordinate cross-team dependencies, test data, and environment scheduling for parallel initiatives Champion shift-left/shift-right, observability and risk-based release decisions. Oversee UAT, regression and sign-off on release quality, with clear quality metrics and executive reporting; confident go/ ...

Contribute to the continuous improvement of our development processes and tools Perform ground-based testing and in-orbit verification of new software services Implement observability solutions for satellite-side services Work with our customers to translate their requirements into effective software solutions Key Skills: 5+ years experience in professional software ...

development using Azure Data Factory Exposure to DataBricks, Synapse or Spark Experience working within event-driven architectures Understanding of DevOps, IaC (Terraform/Bicep), Observability The Application Timeline A first stage video call with the internal talent acquisition team (15 minutes) A second stage teams interview with the hiring manager ...

Factory Familiarity with Databricks , Synapse , or Spark Experience working within event-driven architectures Understanding of DevOps principles , Infrastructure as Code (Terraform/Bicep) , and observability best practices The Application Timeline A first stage phone call with the internal talent acquisition team (15 minutes) A second stage competency Teams call interview ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

strong bias toward practical usability and maintainability. Applied AI Integration - Apply modern AI capabilities pragmatically to real engineering and operational problems, focusing on reliability, observability, and safe deployment rather than novelty alone. Innovation Handover - Work closely with core engineering teams to transition successful prototypes into production-ready solutions, including documentation ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

flags, ensuring seamless integration and deployment Conduct rigorous unit, integration, and non-functional (performance, security) testing to guarantee our software is production-ready Leverage observability tools and logging to troubleshoot and resolve issues across development, test, and production environments Share your enthusiasm for tech trends, explore and learn new technologies ...

effective incident management across live environments. This Site Reliability Engineer/Systems Engineer role offers the chance to work with modern cloud technologies, containerisation, observability tools and automation practices, while influencing long-term reliability improvements across business-critical systems. APPLY TODAY Ready to make your next career move? Apply … live production issues through to resolution or handover System Monitoring and Availability: Maintaining high availability, performance and scalability of production platforms and services Observability Implementation: Managing logging, monitoring, alerting and metrics to proactively identify and resolve issues Reliability Improvements: Collaborating with development teams to translate operational insights into long-term ...

team's strategy, roadmap, and architecture. Drive incident management and troubleshooting efforts, ensuring a stable and predictable AI development and deployment environment. Improve observability and monitoring, ensuring the AI Platform meets performance and compliance requirements. What you need to be successful Background and skills: Strong hands-on experience in designing … security best practices in cloud environments. Hands-on experience with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins, or similar). Familiarity with observability tools (DataDog, Prometheus, Grafana, OpenTelemetry). Nice to have: Experience in AI/ML production systems and the unique challenges of scaling AI workloads. Experience ...

drive SRE strategy, standards, and maturity across complex platforms. Design, build, and operate resilient, scalable, and secure infrastructure. Lead reliability engineering initiatives, including automation, observability, and incident management. Provide senior technical leadership during major incidents and drive long-term remediation. Use data, metrics, and SLOs to drive continuous improvement ...

large, heterogeneous datasets • Scale public-facing data infrastructure supporting ML research • Optimise distributed AI workloads for latency, throughput, reliability, and GPU utilisation • Build observability tooling for data quality, pipeline health, and experiments • Support GPU infrastructure for large-scale model training • Translate research prototypes into robust, production systems • Scope and supervise ...