Senior Full-Stack Engineer (SMTS) in London

As a Senior Member of Technical Staff (SMTS) within our Monitoring Cloud team, you will be a key owner and operator of the systems that keep Salesforce reliableYou won’t just be “using” tools; you will be productizing infrastructure to ensure our monitoring capabilities evolve at the scale of our multi-cloud footprintYour mission is to bridge the gap between high-level feature design and deep-system stabilityFrom automating the “paved path” across AWS and GCP to securing air-gap environments for our most sensitive customers, you will ensure our monitoring stack is invisible, resilient, and intelligentThis is an AI-first engineering roleYou will use AI-assisted development tools (e.g., Claude Code) as the default for every inner-loop activity, code authoring, Terraform and Kubernetes scaffolding, test generation, refactoring, log/trace analysis, runbook drafting, and documentationWe expect AI to compound your throughput on routine implementation so you can focus your human judgment on architecture, security, on-call response, and customer outcomesInfrastructure as Code (IaC) & AutomationDesign and implement automation frameworks using Terraform and Kubernetes to manage monitoring infrastructureStandardize “paved path” deployments across AWS and GCP, eliminating manual configuration errors and ensuring global consistencyUse AI-assisted tooling as the default for authoring, refactoring, and reviewing IaC modules, Helm charts, and automation scripts while directing intent, validating output, and owning the final resultInfrastructure Upkeep & ProductizationOwn the lifecycle of the Monitoring Cloud stack, including version upgrades and performance tuningProductize core components (e.g., Grafana, custom Terraform providers) to make them consumable as reliable services by internal engineering teamsLeverage AI for upgrade planning, release-note analysis, migration scaffolding, and boilerplate-heavy productization work (API wiring, schema plumbing, SDK generation), while retaining accountability for design and rolloutSecure & Air-Gapped OperationsDeploy and manage the full monitoring stack within highly isolated, air-gapped environmentsEnsure that our most secure customer segments receive the same level of observability and reliability as our public cloud offeringsApply AI assistance during development of the artifacts that ship into these environments; operate them in-network with the disciplined, human-driven workflows these environments requireOperational Excellence & HealthParticipate in the team’s on-call rotation, providing the deep technical expertise required to maintain strict SLAs and availability targetsConduct root-cause analysis (RCA) for complex system failures and implement long-term preventative fixesAddress support requests with a “customer first” mindsetUse AI as a co-pilot during incident response and RCA: summarizing logs, correlating traces, proposing hypotheses, and drafting status updates and postmortem while the engineer remains the accountable responder and decision-makerNext-Gen Feature DeliveryDesign and deliver platform features that adhere to enterprise standards while pioneering AI-driven development practices to accelerate delivery and enhance system intelligenceContribute to and evolve the team’s AI-assisted development playbook: prompts, agents, skills, evaluation harnesses, and guardrails that let the team ship faster without sacrificing quality or securityYou will be at the heart of Salesforce’s “Stability First” missionThis role offers the unique challenge of operating at massive scale while solving the intricate security puzzles of air-gapped infrastructureYou’ll also be on the leading edge of AI-augmented infrastructure engineering, using AI on every inner-loop activity to deliver more per engineer than has ever been possible, while still owning the human-critical work (on-call, security, and customer outcomes) that defines great infrastructure teamsIf you enjoy building “infrastructure as a product” and thrive in a high-impact environment, this is your next stepBenefitsMedical CareLife InsuranceRetirement SavingsEmployee Assistance ProgramsWith 9 standard holidays and four floating holidays, you get a total 13 paid days off each yearSecurity First: Understanding of authN/authZ security protocols, particularly in managing isolated or restricted network environmentsHands-on experience managing infrastructure in AWS and/or GCPProficiency in programming languages(eg: java, python etc)Proficiency with Kubernetes (K8s) and TerraformExperience managing or extending monitoring tools (e.g., Grafana), messaging systems (kafka etc), elastic search, caching frameworks5+ years Proven track record in Distributed systems, API platforms, Infrastructure Engineering, Observability or DevOps at scaleAI-assisted development fluency: demonstrated use of AI coding assistants (e.g., Claude Code) as part of a daily engineering workflow, able to prompt effectively, critically evaluate generated code, and integrate AI into IaC, testing, and automation pipelines
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