Sr Advanced Software Engr

Bengaluru, IndiaFull-timePosted Jul 28, 2026

We are looking for a Senior Advanced SW Engineer to serve as Lead of our Edge / Cloud Platform. This person will own the technical direction for edge computing solutions and will also support architecture reviews across other applications in the portfolio. This is a hands-on architecture role — deep technical ownership combined with cross-team influence.

  • Serve as Lead Architect driving the design and delivery of the Forge Cognition edge computing initiative
  • Define and own edge architecture patterns for distributed, resource-constrained, and disconnected/intermittently-connected environments
  • Architect and operationalize workloads on Google Distributed Cloud (GDC) (edge and/or hosted, depending on program needs)
  • Design, build, and scale Kubernetes-based deployments for edge and cloud (Azure, GCP, Alibaba) 
  • Lead cloud & hybrid architecture for scalability & resilience.
  • Build and maintain Ansible-based automation for provisioning, configuration management, and fleet operations across distributed edge nodes
  • Develop core services, tooling, and integrations in Python
  • Architect solutions for IoT device connectivity, telemetry ingestion, data pipelines, and device lifecycle management
  • Enhance the Platform Engineering and developer enablement platform by creating reusable templates, self-service workflows, deployment guardrails, documentation, and automation that improve engineering velocity and consistency
  • Participate in and lead architecture review boards for other applications across the org, providing technical guidance and best-practice recommendations
  • Partner with product, platform, and infra teams to ensure edge solutions are secure, observable, and production-ready
  • Mentor engineers and help raise the technical bar across teams
  • Proven experience as an Edge/Cloud Architect — designing systems for distributed/edge computing environments
  • Strong hands-on expertise with Ansible (playbooks, roles, automation at scale)
  • Expert-level Python development skills
  • Deep, production-grade experience with Kubernetes (cluster design, operators, networking, security, troubleshooting)
  • Hands-on experience with Google Distributed Cloud (GDC) or comparable distributed cloud/edge platforms
  • Practical IoT experience (device management, connectivity protocols, telemetry/data pipelines)
  • Experience acting as a lead/principal architect, including running or contributing to architecture review processes
  • Experience with observability/monitoring tooling for distributed systems (Prometheus, Grafana, etc.)
  • Strong communication skills — able to work with distributed teams and represent architecture decisions to stakeholders
  • Ability to translate complex business, product, and infrastructure requirements into pragmatic technical designs, roadmaps, and implementation plans
  • Experience establishing engineering best practices for CI/CD, secure software delivery, infrastructure as code, observability, reliability, and operational excellence

Nice to Have

  • Experience with edge security and zero-trust patterns
  • Background in a regulated or industrial IoT domain (manufacturing, telecom, energy, etc.)
  • Prior experience standing up a new architecture practice or Center of Excellence (COE)
  • Experience with developer portals, golden paths, service catalogs, internal platforms, or Backstage-style enablement experiences
  • Cloud certifications or architecture credentials across Azure, Google Cloud, Kubernetes, or related platform technologies

Success Measures

  • Deliver a resilient, secure, and scalable edge platform that supports production workloads across distributed environments
  • Improve developer productivity through repeatable platform patterns, self-service automation, reusable components, and clear technical documentation
  • Reduce operational toil through automation, observability, standardization, and proactive reliability practices
  • Provide trusted architecture leadership that helps teams make sound technical decisions and align implementations with enterprise standards

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