2,551 to 2,575 of 4,558 Observability Jobs

Experience of Hybrid Cloud & On-Premises Infrastructure AWS, Azure or other Major Cloud Platform Security Experience Experience Integrating Security Tooling with SIEM, SOAR, ITSM & Observability Platforms. Experience Designing or Implementing Zero Trust Architectures. Experience with Identity-Aware Segmentation & Workload Protection The Measure of Success will therefore be both Technical & Organisational ...

service acceptance and transition activity, assessing readiness against availability, recoverability, supportability, security and control requirements. The role will implement and maintain monitoring, alerting and observability across Fabric, Databricks and Azure services. It will develop service health reporting, operational dashboards and exception monitoring, and maintain runbooks, known error records, support documentation ...

integrations, supporting business-critical operations. Install, upgrade, and manage APIs and integrations between ServiceNow and other enterprise systems. Monitor ServiceNow environments for anomalies using observability tools (e.g., Splunk, Grafana, APICA), and proactively address issues. Apply ServiceNow best practices to optimize performance, configuration, and workflow automation. Collaborate with product owners, developers ...

Establish and evolve scalable UI architecture, including component libraries and shared platform services Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness Ensure secure, compliant development practices aligned to firm standards Mentor and develop engineers, cultivating an inclusive team culture Collaborate with backend, platform ...

TypeScript for frontend work, and Go for select infrastructure Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage Environment: Linux servers Observability: OpenTelemetry, Prometheus, Grafana and Zabbix Must-Haves: Strong background in software development, with strong experience with Python. A degree in Computer Science or a numerical ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

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 Benefits Dynamic hybrid working environment with a diverse and driven team Huge opportunity ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep‐drive ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost ...

risk considerations. Preferred qualifications, capabilities, and skills Experience building or operating AI‐enabled systems (agentic workflows, orchestration frameworks, LLM‐enabled automation) and/or observability for AI/automation in production. Experience working in a highly matrixed, complex organization and/or within a financial institution. Degree in Computer Science ...

across identity and security. Work collaboratively with architecture, platform, application engineering and security teams to solve complex identity challenges. Contribute to the reliability, scalability, observability and operational maturity of identity services. Produce, maintain and review technical documentation, architecture decisions, standards and security guidance. Identify and address security risks and continuously ...

thread and process analysis, source-code inspection, operating-system telemetry, and controlled reproduction.- Experience making high-risk infrastructure changes safely through testing, staged rollout, observability, fault containment, and rollback.- Clear technical judgment and the ability to communicate designs, trade-offs, incidents, and operational risks.- A degree in Computer Science, Engineering ...

example in engineering quality through clean, well-tested code and strong coding practices.* Promote an SLO-driven culture by contributing to reliability goals, observability, and incident learnings.* Partner closely with engineers and other stakeholders to clarify requirements and deliver effectively.* Break down complex problems into pragmatic technical solutions, estimates ...

deliver secure, reliable, and highly available services. Lead technical investigations, evaluate emerging technologies, and recommend solutions aligned with business and engineering objectives. Improve platform observability, maintainability, performance, and operational efficiency. Influence long-term technology strategy and help shape the engineering roadmap. Mentor engineers and technical leaders across the organization. Promote ...