VP, Technology

Fogsphere is a London based innovator focused on transforming workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT. Built on a principled "Edge to Fog to Cloud" architecture, our platform turns passive CCTV cameras and sensors into proactive hazard detectors, capable of identifying threats like missing PPE, fire, smoke, restricted access violations, and more-in real time and at scale. This helps organizations across industries-from manufacturing, construction, oil & gas, and healthcare to smart cities-reduce workplace accidents by up to 90%, ensure regulatory compliance (EHS), and gain powerful operational insights. Fogsphere's intuitive no code visual workflows, hyper scalable Kubernetes based infrastructure, and commitment to ethical AI and privacy (GDPR compliance) make it a user friendly yet enterprise grade solution.

The Role

As VP of Technology, you will own Fogsphere's end to end technology strategy and execution. You'll lead the teams that design, build, secure, and operate our AI platform-while rolling up your sleeves when needed. You'll drive architecture for our microservices and Kubernetes based stack, raise the bar on operational excellence, and embed quality and security into every stage of the lifecycle.

What you'll do

• Set strategy & roadmap : Define the multi year technology vision aligned to product strategy; translate it into quarterly plans and measurable outcomes.
• Build & lead teams : Scale high performing Engineering, Platform/DevOps, Quality Engineering, and Security groups; hire, coach, and develop leaders.
• Own platform architecture : Evolve a secure, scalable, multi tenant AI platform across microservices, containers, Kubernetes, and data/ML pipelines.
• Operational excellence : Establish SLAs/SLOs, observability, incident response, on call, and capacity planning with a strong SRE mindset.
• Quality by design : Institute a modern test strategy across unit, integration, end to end, contract, and security tests; champion TDD/BDD and shift left practices.
• Hands on automation leadership : Guide Python based test frameworks (e.g., Behave), UI automation (Playwright/Selenium), and stabilize flaky suites; ensure fast, reliable feedback.
• CI/CD at scale : Own Azure DevOps pipelines, gating policies, and quality metrics; integrate test management (e.g., Atlassian X Ray/TestQube), coverage, and SonarQube.
• Security & compliance : Drive security by design; integrate SAST/SCA/dependency scanning and basic runtime checks; partner on ISO 27001/SOC 2 readiness.
• Data/AI & MLOps : Partner with ML teams on model lifecycle, evaluation, and deployment; ensure reproducibility, monitoring, and governance.
• Test environments & data : Ensure representative environments for microservices and Kubernetes; lead test data management and privacy aware practices.
• Defect prevention & triage : Collaborate to reproduce, root cause, and prevent defects; promote robust patterns and guardrails.
• Reporting & comms : Track leading indicators (coverage, pass/fail trends, defect leakage, DORA metrics) and communicate status and risk to executives and stakeholders.
• Vendor & budget ownership : Manage technology budgets, licensing, and vendor strategy.

What you've done (Qualifications)

• Leadership: 10+ years in software/platform engineering, including 4+ years leading teams delivering and operating distributed, high availability systems across edge and cloud.
• Edge & distributed systems: Architected and operated edge/IoT platforms: device identity & provisioning, fleet orchestration, OTA updates, telemetry/command pipelines, and resilience for intermittent connectivity and constrained resources.
• Kubernetes & platform engineering: Deep expertise running Kubernetes in production (cloud and on prem/edge). Multi cluster/multi tenant design, cluster lifecycle & upgrades, CNI networking, service mesh, ingress/gateways, storage (CSI), and policy controls. Hands on with Helm/Kustomize and GitOps (Argo CD/Flux).
• Performance & reliability: Strong performance engineering discipline-profiling, load/soak testing, capacity planning, latency/throughput optimization, P99/P999 targets; autoscaling (HPA/VPA/KEDA). Mature observability (Prometheus/Grafana, OpenTelemetry), SLOs/error budgets, and incident management with an SRE mindset.
• Security: Security by design across supply chain and runtime: SBOMs/SLSA, image signing (Sigstore/cosign), SAST/SCA & container scanning (e.g., Trivy), secrets management (Vault/KMS), network policies, Pod Security standards, mTLS & certificate rotation, and least privilege RBAC. Familiarity with device/edge security (TPM/secure boot) and compliance (ISO 27001/SOC 2) is a plus.
• Data & streaming: Experience with real time/streaming at the edge and in the cloud (Kafka/Redpanda/NATS/MQTT), handling backpressure and ordering semantics.
• Languages & infrastructure: Proficiency in Python and one of Go or Rust; infrastructure as code (Terraform); strong understanding of distributed systems, networking, and Linux internals. Experience across Azure (preferred) and at least one of AWS/GCP.
• Collaboration & communication: Partner effectively with Product, Security, and Operations; clear, data driven decision making and executive ready communication.

Nice to have

• Experience with compliance frameworks (ISO 27001, SOC 2).
• Exposure to IoT/edge environments and AI enabled tooling and MLOps.

How we work

• Pragmatic, outcome oriented planning and delivery
• High bar for quality and reliability; measure what matters
• Inclusive, collaborative culture with regular reviews, pairing, and knowledge sharing

What we offer

• Competitive salary + equity; bespoke benefits tailored to the candidate
• Opportunity to shape technology, strategy and execution in a fast scaling, tech centric startup
• Hands on exposure to cutting edge AI, IoT, and edge computing technologies
• Professional growth: training, conferences, certifications, and clear career progression
• A collaborative, inclusive environment with a high innovation pulse