151 to 175 of 508 Remote/Hybrid Observability Jobs

frontend and backend systems work together in high‐performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) — especially in a financial context. Experience hiring, mentoring ...

APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM‐powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both ...

frontend and backend systems work together in high‐performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) — especially in a financial context. Experience hiring, mentoring ...

optimisation RESTful API design and implementation Git - version control and collaborative workflows Testing strategies (unit, integration, end-to-end) Experience with monitoring, logging, and observability tools Knowledge of scalable system architecture and design patterns Familiarity with modern AI tools and a habit of staying up to date with how they ...

workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) — or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field — peer‐reviewed publications, open‐source contributions, or public projects that demonstrate your judgement on real ...

focus on solving real business problems Software engineering best practices, such as testing, clean coding standards, code reviews, pair programming, technical documentation authoring, observability and iterative development using A/B testing You’ll upskill in the Search domain – working closely with product, data scientists and machine learning scientists ...

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 ...

Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event‐driven architecture and domain‐driven design Our interviewing process Intro call with the hiring manager Live coding challenge solving ...

innovations from experimentation through to productised, maintainable solutions that deliver measurable value.* Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines.* Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams.* Lead complex, multi-team technical initiatives ...

such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using ...

implement platform engineering tools to deliver self-service capabilities via an IDP (e.g. Backstage) Define and enforce monitoring, alerting, and observability standards to ensure infrastructure reliability and performance Foster collaboration between development and operations teams, bridging gaps to drive a unified engineering culture Mentor junior engineers, share knowledge across … Developer Tooling : Experience implementing developer portals (Backstage), artifact repositories (JFrog Artifactory, Nexus), API gateways, and self-service platform engineering tools to support internal teams Observability & Reliability : Hands-on experience with monitoring and observability platforms (Honeycomb, Prometheus, Grafana), including defining alerting standards and ensuring infrastructure reliability at scale Architecture & Design: Strong ...

implement platform engineering tools to deliver self-service capabilities via an IDP (e.g. Backstage)* Define and enforce monitoring, alerting, and observability standards to ensure infrastructure reliability and performance* Foster collaboration between development and operations teams, bridging gaps to drive a unified engineering culture* Mentor junior engineers, share knowledge across … Developer Tooling**: Experience implementing developer portals (Backstage), artifact repositories (JFrog Artifactory, Nexus), API gateways, and self-service platform engineering tools to support internal teams* **Observability & Reliability**: Hands-on experience with monitoring and observability platforms (Honeycomb, Prometheus, Grafana), including defining alerting standards and ensuring infrastructure reliability at scale* **Architecture & Design:** Strong ...

efficiently, this role spans cloud infrastructure, data platform engineering, and AI tooling. You'll manage our Snowflake environment and contribute to our Claude Enterprise observability alongside your core AWS and DevOps responsibilities. Beyond keeping systems running, we expect you to identify improvements, take ownership of them, and actively upskill colleagues … prod Lead the implementation of monitoring, logging, and alerting systems to ensure reliability in our solutions Collaborate in the management and optimisation of our observability dashboards, ensuring platform health is visible and actionable across the team Take ownership of our Snowflake environment: access controls, cost governance, performance, and data organisation ...

components that process, transform and expose data for analytical, operational or AI driven use cases. You will follow strong engineering practices, with testing and observability built in from the start. Streaming and Real Time Architecture Designing and implementing data ingestion and event driven patterns that support real time or near … using CI/CD principles adapted for Defence delivery. You will own your applications in production and contribute to secure patterns for deployment. Resilience, Observability and Compliance Implementing health monitoring, structured logging, metrics and lineage to meet Defence requirements for auditability, security and operational assurance. You will design systems that ...

velocity and platform reliability.Innovation & Continuous ImprovementChampion platform modernisation and cloud-native ways of working.Explore and implement AI-enhanced capabilities across CI/CD, testing, observability, and operational workflows.Promote monitoring, observability, and operational excellence through modern tooling and best practices.Contribute to engineering standards, reusable accelerators, and DevOps reference architectures.Your Skills … scalability, resilience, and automation.Experience embedding DevSecOps practices, Azure security controls, identity management (Entra ID), and governance frameworks within cloud delivery programmes.Strong knowledge of monitoring, observability, and GitOps practices, leveraging tools such as Azure Monitor, Application Insights, Prometheus, and Grafana.Excellent leadership, stakeholder management, and communication skills, with experience leading engineering teams ...

deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi‐step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root‐cause analysis, anomaly detection, and semantic … plus. Preferred Qualifications: AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.). Experience building self‐service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About the company At the company, we commit our people ...

Grafana Observability Engineer Location: Fully remote Our client They are delivering a company-wide Digital Transformation (DX) Programme that will modernise their technology landscape and transform how they deliver services. As part of this journey, their IT and Portfolio Delivery teams are implementing a new enterprise technology platform, making this … exciting opportunity to join the business and help shape their future. Role Overview Reporting to the Lead Platform Engineer, the Senior Observability Engineer will own and develop their observability capability, leading the design, implementation and continuous improvement of their monitoring and alerting platform. Working closely with infrastructure, platform and application ...

scripts and tooling using Python and Shell scripting. Support cloud engineering activities across AWS and Google Cloud Platform (GCP). Drive improvements in cloud observability, monitoring and operational reporting. Manage and optimise containerised workloads where required. Work closely with engineering and platform teams to improve cloud governance and operational controls. ...

engineering standards and the adoption of new tools, technologies and ways of working. Support the delivery and operation of production services, driving reliability, performance, observability and incident resolution. Communicate technical decisions, risks and progress effectively with both technical and non-technical stakeholders. Skills, Knowledge & Expertise Strong experience developing software using ...

integration, tool/function calling and agent orchestration Nice to have • Model Context Protocol (MCP) • Kafka or event-driven architectures • MLOps, LLM evaluation, observability and monitoring To apply or find out more, get in touch. #ContractJobs #AIJobs #GenAI #AIEngineer #LangGraph #Python #RAG #LLM #MachineLearning #Hiring #TechRecruitment #ContractRole ...

warehouse technologies. Exposure to Infrastructure as Code tools. Experience with CI/CD practices and automated deployment pipelines. Knowledge of data governance, monitoring and observability tools. Experience working within fast-paced, data-driven environments. What's on Offer Salary up to £80,000. Opportunity to work with modern cloud ...

platform quickly to new features and market conditions. Ensure high availability, reliability, and scalability of trading services, with a sharp focus on latency, observability, and testing. Contribute to architecture discussions and technical decisions, writing clean, maintainable code and sharing knowledge across the team. What you will need Professional experience building ...

with Product, Data, and Commercial teams to deliver innovative AdTech capabilities. Mentor senior engineers and contribute to engineering leadership. Champion performance, reliability, security, and observability across the platform. Influence technology decisions and long-term platform evolution. What We're Looking ForEssential Experience Significant experience in a Principal, Staff, Lead ...

scenarios. Develop scalable solutions for backup, restore, and point-in-time recovery across complex MongoDB deployments. Enhance CLI tools, HTTP APIs, logging, metrics, and observability features to improve operational visibility and user experience. Optimize application performance, concurrency, resource utilization, and throughput for large-scale production environments. Write automated tests, participate ...

business stakeholders to align integration solutions with strategic goals. Continuous Improvement Continuously assess and optimise integration solutions and tooling for performance, scalability, maintainability, observability, and self‐service capability. Lead technical discussions, mentor team members, and foster a culture of innovation, engineering excellence, and continuous improvement. Work in an agile, collaborative ...