4 of 4 Permanent Observability Jobs in Cambridge

architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality ...

Kubernetes operations on AWS (EKS), including cluster scaling and deployment automation. *Proficiency in Linux administration, networking fundamentals, and cloud security principles. *Familiarity with observability stacks such as Prometheus, Grafana, and Loki, with structured alerting practices. *Knowledge of database operations, including migrations, high availability, backups, and disaster recovery strategies. *Skilled … platform resilience by improving autoscaling, high availability, and eliminating single points of failure. Work closely with SRE and Security teams to enhance monitoring and observability through Prometheus, Grafana, and CloudWatch. Embed security best practices into every layer of the platform, covering IAM, secrets management, WAF, and compliance. Drive cost efficiency ...

common attack/defense patterns. Advanced networking knowledge: TCP/IP, IPv4/IPv6, BGP, routing policy; DNS fundamentals. Demonstrated operational excellence and observability practices (metrics, tracing, alerting). Preferred qualifications Expertise with anycast routing, global traffic steering, and multi-region service readiness. Experience with SDN, programmable data planes … incident learning. Drive automation at scale: CI/CD strategy, test frameworks, progressive delivery (canary/blue-green), and infrastructure-as-code. Establish robust observability (metrics, logs, traces) and capacity/scale models for high-throughput, highly available services. Lead threat modeling, architecture reviews, and audit readiness for Tier ...

frameworks such as ADK, LangChain, and Strands. Strong development workflow discipline Proficient in modern development workflows (branching, code review, CI/CD, testing, observability). Clear understanding of why "vibe coding" (coding without specs, tests, or structure) is harmful at scale. Experience using spec-driven development or similar frameworks … Nice to have Experience with enterprise AI governance, safety, and compliance practices. Background in developer experience (DevEx), platform engineering, or internal tools. Familiarity with observability and monitoring for agents (traces, logs, evaluation frameworks, feedback loops). Experience integrating agents with existing systems via APIs, webhooks, and event-driven architectures. ...