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Principle Software Architect

gforces India (Hyderabad)

See all open roles at gforces

Ghost-risk verdict

Some ghost-posting signals

  • open for 65 days (60–89 days is elevated risk)
  • 74 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

What you'll do:

Define cross-cutting architectural patterns and standards across Keyloop's platform

Lead multidisciplinary architecture initiatives spanning product, infrastructure, and data

Research and evaluate emerging technologies, and make strategic build / buy / adopt recommendations

Own architectural standards for multi-tenancy, data sovereignty, and regulatory compliance

Champion developer experience and engineering productivity as a platform-level outcome

Influence product and engineering strategy at senior leadership level

Coach and develop Architects and Senior Architects, and contribute to ROI analysis for major technical investments

What we're looking for:

15+ years in software development, including 5+ years in a senior architecture role

Demonstrated track record of leading enterprise-scale architecture transformation

Experience with large-scale SaaS or multi-tenant platform architecture

Mastery across cloud platforms, distributed systems, and platform engineering

Deep understanding of observability, reliability engineering (SRE), and cost optimization

Strong data architecture — scalable, reliable, and analytically capable systems

Executive-level communication; able to influence without authority and balance long-term vision with near-term delivery

How we work with AI:

Keyloop is building an AI-driven engineering model, and this role is expected to operate in an AI-native way from day one. You'll define platform strategy for agent orchestration and reusable AI infrastructure, set AI safety, ethics, and compliance standards that enable (rather than block) delivery, and translate the competitive AI landscape into concrete architectural bets. You'll be the person the organisation turns to when our use of AI needs to evolve.

Nice to have:

Production experience with microservices, event-driven, or SOA architectures

Exposure to automotive retail, DMS, or enterprise SaaS domains

Relevant cloud certifications (e.g. AWS Solutions Architect, GCP Professional Architect)

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