1,051 to 1,075 of 1,864 Permanent Observability Jobs

workloads Optimize inference pipelines for latency, throughput, batching efficiency, and resource utilization Design fault‐tolerant systems with graceful degradation and automatic recovery mechanisms Observability & Engineering Excellence Build high‐performance telemetry and observability stack for inference metrics, performance tracking, and debugging Implement comprehensive monitoring for model latency, throughput, error rates … RabbitMQ), databases (PostgreSQL, Redis), and event‐driven architectures Knowledge of GPU computing, model serving optimizations (batching, quantization, multi‐tenancy), and resource allocation Experience with observability tools (Prometheus, Grafana, OpenTelemetry) and distributed tracing Understanding of API design, rate limiting, authentication/authorization, and security best practices Exposure to AI model deployment ...

monitoring, release management, and platform operations. Help define practical, secure, and scalable ways of using AI in DevOps processes, whilemaintainingstrong engineering standards and governance. Observability, Reliability & Continuous Improvement Improve monitoring, alerting, logging, and observability practices to help teams detect issues earlier and resolve incidents faster. Analyze platform performance, deployment quality ...

maintain IaC and GitOps standards and introduce automated testing for every infrastructure change. Prototype and integrate agentic infrastructure components, including Agentic deployment and observability platforms within Kubernetes service meshes. Design and integrate AI Gateways and Registries that route traffic and events between microservices and autonomous agents through CNCF Gateway … DevOps and agentic AI platform architectures for high‐integrity, regulatory‐compliant operations. Continuously research and adopt emerging CNCF and AI ecosystem advancements, from eBPF observability to agent‐aware orchestration, to keep Elliptic at the forefront of DevOps innovation. You will be a great fit here if you: Have a passion ...

guardrails. Developer Platform & Experience Build an internal developer platform (IDP) that abstracts complexity and provides self-service: project scaffolding, environment creation, CI/CD, observability, and secrets management. Curate platform catalogs/registries (Terraform module registry, container base images, reusable pipeline templates). Partner with product/engineering teams … Policy, OPA, Conftest) and continuous compliance. Build secure-by-default blueprints: network segmentation, private endpoints, encryption, vulnerability mgmt, and SBOM/SLSA practices. SRE, Observability, and Operations Embed SRE practices: SLOs, error budgets, incident response, postmortems, chaos/gamedays. Standardize observability: logs, metrics, traces, dashboards, and alerts (e.g., Azure Monitor ...

Inflo Group is seeking a Lead Platform Architect to define and guide the technical direction of platform capabilities. This hybrid role combines architecture and hands-on development in a collaborative environment. The successful candidate will ...

Coralogix, inc. is seeking a Major Enterprise Account Executive to own complex sales cycles, from engaging with CTOs to closing deals. This role requires strong sales proficiency and strategic thinking, working alongside solution engineers to ...

S&P Global, Inc. is seeking an experienced AIOps Product Manager to own the enterprise AIOps roadmap, translating complex operational needs into concrete product requirements and backlog items. You will lead high-impact capabilities like ...

GitHub Actions and/or Azure DevOps, covering build, test, security scanning and deployment – consistent across stacks and reusable across teams. Define and ship observability standards: structured logging, distributed tracing and alerting integrated into service templates so every new service is production‐ready from day one. Work hands‐on with … Datadog, incident.io and/or GCP/Azure‐native logging and monitoring tooling to build the platform‐level observability layer teams plug into. Contribute to our thinking on a potential Azure‐to‐GCP migration – helping assess changes for developer tooling and service templates and building proof‐of‐concept work that ...

Health, and Engineering Productivity initiatives. The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native tooling to improve operational efficiency, incident reduction, observability, code quality, and developer productivity across enterprise platforms. The role requires close collaboration with SRE teams, platform engineering teams, application development teams, and business stakeholders … Code Monitoring tools such as Splunk, Dynatrace, Prometheus, Grafana, Datadog, New Relic SRE Knowledge Incident Management Problem Management Service Reliability Availability Management Operational Excellence Observability Principles Production Support ...

shared Kubernetes services such as CoreDNS , cert‐manager , Dynatrace , Cloudability , and Infoblox . Familiarity with OPA Gatekeeper for policy enforcement and tenant isolation. Security, Observability & Performance Strong security mindset with a proven track record of designing secure, resilient cloud‐native systems. Experience implementing observability stacks including Prometheus , Dynatrace , and OpenTelemetry ...

best ideas take time to evolve. Together we’re building a world‐class platform to amplify our teams’ most powerful ideas. Role The Observability Engineering Team manages the doors – both entry and exit – to the telemetry backends at G‐Research, ensuring our engineers can effectively produce and consume telemetry … their services. As an Observability Engineer, you’ll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact. You’ll have deep experience across observability stacks, a clear understanding ...

ecosystem. The ideal candidate will combine deep technical expertise with strong delivery and people leadership capabilities to drive platform reliability, operational excellence, governance, automation, observability, and stakeholder management. The role requires hands‐on expertise in at least two platform technologies, with mandatory expertise in either Snowflake or Confluent Kafka. … KPIs, operational metrics, and customer commitments. Proactively manage risks, dependencies, and technical blockers. Drive compliance, security, audit readiness, and cost optimization. Implement effective monitoring, observability, and service management processes. Hands‐on experience with Snowflake, Kafka, Cloud, DevOps, and Platform engineering. Mentor and guide Snowflake, Kafka, Cloud, DevOps, and Platform engineers. ...

support cloud-native platforms across AWS and Azure Implement DevSecOps and Infrastructure as Code best practices Drive platform reliability using SRE principles and observability tools Support incident management and continuous improvement initiatives Implement Terraform-based infrastructure solutions Leverage automation and AI-assisted engineering tools to improve delivery efficiency Support … delivery teams What We're Looking For in a Senior DevOps Engineer Hands-on DevSecOps and platform engineering expertise Advanced Terraform knowledge Experience with observability tools such as Dynatrace, Grafana or similar Understanding of Site Reliability Engineering principles Experience supporting production environments and incident management Strong stakeholder management and communication ...

automation, and deployment issues, and contribute to root cause analysis and service improvement actions.* Contribute to documentation, engineering standards, and best practices for automation, observability, and platform operations.## **Who you are*** Hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) or similar observability platforms.* Strong scripting or development skills ...

mission-critical services supporting national security programmes. You will work closely with software engineers, platform teams and stakeholders to automate operational processes, improve observability and enhance system reliability. In this role, you will take ownership of service health, contribute to platform evolution and help create scalable solutions that enable teams … effectiveness. Key responsibilities: ~Improve & Enhance service reliability, availability and operational resilience ~Automate & Optimise infrastructure, operational workflows and platform processes ~Design & Implement monitoring, alerting and observability solutions ~Support & Scale Kubernetes and containerised environments ~Develop & Deliver CI/CD pipelines and deployment automation capabilities ~Investigate & Resolve incidents, conducting root cause analysis ...

Owns the design and build of the team\'s platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team\'s production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic … record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication ...

strategy across Camunda SaaS and self-managed models Collaborate with engineering and DevOps teams on: CI/CD pipelines containerised deployments Kubernetes-based environments observability and platform monitoring Technical Leadership Provide technical leadership and architectural guidance across engineering teams and delivery squads Mentor engineers and support the uplift of workflow … Camunda 8 Experience with Camunda SaaS and self-managed deployments at scale Exposure to cloud platforms such as: AWS Azure GCP Experience with observability tooling such as: Prometheus Grafana OpenTelemetry Experience with: enterprise integration patterns API management workflow/task UI customisation Experience in regulated industries such as: Banking Insurance ...

external systems. Collaborate with architects, product teams, vendors, and business stakeholders to ensure successful solution delivery. Drive best practices across software engineering, DevOps, observability, resiliency, and operational excellence. Conduct architecture reviews, code reviews, and technical design assessments. Provide technical mentoring and hands-on guidance to engineering teams. Contribute directly … while leading multiple engineering teams. Desirable: Experience within Banking, Financial Services, or large-scale enterprise transformation programmes. Experience with Docker and Kubernetes. Knowledge of observability, monitoring, and site reliability practices. Experience supporting geographically distributed engineering teams. Exposure to AI-enabled engineering tools, automation frameworks, or developer productivity tooling. What ...

storage solutions. This is a hand‐on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure‐as‐Code, observability, high‐performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer … users in their use. Turn end‐user and product requirements into deployed services. Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information of any product‐related issues ...

scaling strategies Integrate GameLift with AWS services (Lambda, DynamoDB, API Gateway, etc.) Optimise cost, performance, and multi‐region deployments Implement monitoring, logging, and observability solutions Qualifications AWS Certified Solutions Architect – Professional (required) Additional AWS certifications (e.g., DevOps, Security) desirable SKILLS AND EXPERIENCE Proven experience in solutions architecture or senior technical … Code: Terraform, CloudFormation, AWS CDK Game Development: Unreal/Unity basics, backend integration patterns Multiplayer Systems: Backend architecture, session management, real‐time systems Observability: CloudWatch, Prometheus, Grafana, or similar Soft Skills Strong communication and presentation skills Ability to engage both technical and non‐technical stakeholders Strategic thinking and problem‐solving ...

delivery challenges. Conduct code reviews and design reviews to promote high-quality engineering standards and knowledge sharing. Define and improve best practices for testing, observability, performance, reliability, and operational excellence. Investigate production issues and drive continuous improvement through root-cause analysis. Ensure solutions meet security, compliance, reliability, and performance requirements. … Experience with C# and .NET development. Knowledge of SQL Server and PostgreSQL. Experience with Infrastructure as Code (IaC) and GitOps practices. Experience implementing monitoring, observability, and operational tooling. What Success Looks Like Delivering impactful customer-facing features and projects successfully. Driving sound architectural decisions and engineering excellence. Building secure, scalable ...

rehost, replatform, refactor, repurchase, retire, retain, and relocate. Broad hands‐on knowledge of core Google Cloud services across compute, containers, storage, databases, networking, security, observability, DevOps, and cost management. In‐depth experience designing Google Cloud landing zones and cloud foundations, including resource hierarchy, projects, billing, IAM, shared … methodologies as the market evolves. Ability to identify opportunities to use automation, AI‐assisted engineering, AIOps, and cloud-native tooling to improve reliability, observability, delivery speed, and operational efficiency. Excellent English verbal and written communication skills, with the ability to engage effectively with both technical and non‐technical stakeholders. Ability ...

seeking a Site Reliability Engineer III to join our team. The ideal candidate will have strong experience in cloud computing, infrastructure automation, and observability tooling and a proven ability to implement reliable, automated, and measurable service operations across complex environments. Responsibilities: Establish and maintain partnerships with Application Development and Production … focus on compute, storage, network, and security services. Develop and maintain code and automation using Python, Golang, and shell scripting. Implement monitoring and observability with Prometheus, Dynatrace, Azure Monitor, and Log Analytics. Contribute to CI/CD pipelines using Git, Jenkins, and GitOps practices. Decompose complex objectives into units ...

continuous improvement. Production systems are reliable, observable and operationally excellent Lead root cause analysis and resolution of complex production issues. Drive improvements in system observability, monitoring and operational performance. Ensure applications are designed and operated to meet reliability, availability and performance targets. Partner with Operations, DevOps and QA teams … Claude, Codex, Gitlab Duo, etc) REST APIs, OpenAPI, Microservices, Event-driven architecture (RabbitMQ) Containers, Docker, AWS, Linux CI/CD with GitLab Pipelines & Jenkins Observability: logging, metrics and monitoring MySQL, Apache Solr Front-end UI (e.g. Angular) Person Specification Strategic and systems-thinking mindset Excellent communication and stakeholder management skills ...

Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic … record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication ...