One75mb HRM Pvt Ltd.
Website:
one75mbhrm.com
Company:
https://www.linkedin.com/company/one75mbhrm
Industries: IT Services and IT Consulting
Job details:
Profile Process Details Required :
Employment Type - Permanent, Full Time
Position - Technical Architect
Experience - 10+
Location - Banglore
Notice Period - Join immediately
Interview Type - Face to Face
Key Role & Responsibility
Architectural Leadership
• Own architectural decisions for web applications, APIs, and microservices, in consultation
with engineering leadership, ensuring scalability, reliability, and maintainability.
• Drive end-to-end technical quality: code standards, design reviews, NFR (non-functional
requirements) definition, and realization from architecture through deployment.
• Lead architecture definition for SaaS products, including multi-tenancy, extensibility, and
platform scalability, ensuring alignment with long-term product roadmap.
• Identify and mitigate technical risks early; escalate proactively to ensure sprint and delivery
commitments are protected.
• Lead the design and scaling of SaaS applications, driving best practices around API design,
service decomposition, data modelling, and platform architecture.
• Build and scale large-scale, data-driven products typical of analytics and competitive
intelligence domains, with a focus on performance, reliability, and domain-specific use case
delivery.
• Ensure production readiness: capacity planning, performance tuning, observability, and
incident response readiness for all solutions delivered.
AI-Native Development (Mandatory)
• Embed, drive adoption AI-native practices across the full engineering lifecycle, from
technical design and solution architecture to code generation, review, quality assurance and
deployment.
• Champion the use of AI-assisted development tools (e.g., Claude, Cursor, GitHub Copilot)
as standard practice within the team, not optional augmentation.
• Exposure to Designing and building functional agents and developer productivity agents to
automate repetitive engineering tasks, including health checks, auto-healing workflows, and
support use cases for platform components.
Skills & Experience Required
Core Experience
• 10+ years of core software development experience, with significant tenure in product-based
companies.
• Proven track record leading engineering teams in dynamic, fast-paced, customer-focused
environments with rapid release cycles.
• 5+ years of experience architecting server-side web applications, REST APIs, and
microservices at scale.
• Demonstrated experience building and scaling SaaS products, including multi-tenancy,
subscription models, and platform extensibility.
• Experience building large-scale, data-driven products in analytics or competitive intelligence
domains, domain-specific data apps, insight platforms, or similar.
AI-Native & Productivity Engineering (Mandatory)
• Hands-on, production-grade experience with AI-assisted development tools — Claude,
Cursor, GitHub Copilot, or equivalent — across design, development, and review workflows.
• Proven experience building or operating developer productivity agents for recurring
engineering tasks: health checks, auto-healing, platform support automation.
• Familiarity with agent frameworks, prompt engineering, LLM orchestration, and integrating
AI tooling into CI/CD and developer workflows.
Technical Stack
• Languages: Strong proficiency in Python and related frameworks.
• Databases: Strong SQL, NoSQL exposure - including index management, partitioning,
system catalogs, and SQL query tuning.
• DevOps: Docker, Kubernetes
• Data: Experience with data pipelines, distributed message queues, and stream processing.
• Cloud: Experience creating and managing cloud infrastructure for application deployment
and scale.
• Documentation: Proficient in producing Architecture Views, Technology Architecture
Blueprints, and Design Specifications.
What We Value
• Inclusive, roll-up-your-sleeves work ethic willing to participate in daily workloads when it
matters.
• Eagerness to learn, experiment, and adopt new technologies especially at the intersection of
AI and software engineering.
• Clear, structured communicator, able to translate complex technical decisions for both
engineering and business stakeholders.
• A builder's mindset: you think in systems, care about outcomes, and take pride in what
ships.
Click on Apply to know more.