WhatYou’llDo (Hands-On)

• Architecture + Build Produce architecture designsandimplement key components (reference implementations, platform libraries, integration adapters, critical workflows).

• Distributed Systems Design and build event-driven services (messaging, async workflows, idempotency, retries, backpressure, eventual consistency), including well-defined event contracts and versioning strategies.

• Azure Solution Design Build using Azure PaaS services and patterns (identity, networking, storage, messaging, API management, monitoring), with practical tradeoffs across cost, scalability, resilience, and latency.Design and integrate AI capabilities using Azure OpenAI APIs (GPT, embeddings, assistants) to enable intelligent features and agent-driven automation within business process flows.

• Front-End Architecture Architect and ship large Next.js/Reactapplications (routing, state strategy, data-fetching patterns, performance, accessibility, modularization, micro-frontend considerations where relevant).

• Integration Architecture Define secure integration patterns (REST and event-based), build connectors/adapters, andestablishoperational runbooks for partner/client integrations.

• Security by Design Implement secure SDLC practices—threat modeling,secretsmanagement, encryption, least-privilege access, audit logging, and secure defaults aligned to regulated environments.

• Authentication & Authorization:Implement end-to-end authnauthzusing OAuth2/OIDC, SSO, and token-based access. Design RBAC/ABAC/ReBAC, tenant-aware authorization, API scopes/claims, and service-to-service identity (e.g., managed identities).

• Operational Readiness Own observability and reliability patterns (structured logging, metrics, tracing, SLOs, alerting, incident response) andparticipatein troubleshooting production issues.

• Documentation that Ships Create actionable architecture artifacts (ADRs, sequence diagrams, domain flows, deployment diagrams, runbooks) that teams can execute against.

• AI Agent Design; Process Automation: Design, build, and deploy AI agents that automate business process flows—using Azure OpenAI APIs, function calling, orchestration frameworks, and RAG pipelines—withappropriate guardrails, evaluation, and human-in-the-loop controls for regulated environments.

• Technical Leadership Drive peer architecture/code reviews, coach engineers, and raise engineering standards across onshore/offshore teams.Lead and mentor teams in agentic development practices—spec-driven workflows, AI-assisted coding (Claude Code, Codex), and automated test/review generation—to accelerate delivery velocity whilemaintainingquality and governance.

Patterns We Expect You to Use

• Event-based systems(pub/sub, workflow orchestration, event sourcing where appropriate)

• Distributed systems(partitioning, resiliency, failure-mode design, consistency tradeoffs)

• Domain-driven integration approaches(bounded contexts, contracts, anti-corruption layers)

• Agentic AI patternsincluding plan/execute/verify loops, tool/function calling, RAG, verifier/critic steps, guardrails, evaluation, and agent observability/auditability.Experience applying these patterns to automate business process flows using Azure OpenAI APIs and orchestration frameworks.

AI-Enabled Delivery Expectations

• Experience working in environments using AI for development, build, and operations(coding assistantssuch as Claude Code and Codex, automated PR reviews, test generation, incident support).

• Comfortable using a spec-driven AI developmentworkflow translating requirements into structured specs, acceptance criteria, diagrams, and prompts that accelerate delivery whilemaintaininggovernance.Ability to lead teams in adopting agentic development practices—spec-driven development, AI-assisted coding, and agent-based automation—as standard ways of working

Required Qualifications

• 10+ yearsin software engineering, including 3+ yearsin architecture/solution design (or equivalent scope).

• Proven experience designing and operating solutions in a regulated global environment(privacy, auditability, security controls, cross-border considerations).

• Strong Azureexperience designing and building cloud-native solutions using Microsoft PaaS and frameworks, including Azure OpenAI APIs for AI-enabled features and agent-based automation

• Strong experience architecting Next.js and/or Reactapplications at scale.

• Demonstrated experience with event-drivenand distributedsystem design and production operations.

• Hands-on experience with agentic development tools and practices (e.g., Claude Code, Codex, spec-driven development) anda track recordof leading engineering teams in AI-assisted delivery workflows.

• Strong communicationskills: can explain tradeoffs clearly to technical and non-technical stakeholders.

Preferred Qualifications

• Experience with enterprise integrations (HRIS, payroll providers, finance systems) and/or iPaaS patterns.

• Strong testing and automation mindset (TDD/BDD, CI/CD quality gates).

• Experience with data modeling, SQL, and reporting/analytics.

• Microsoft certifications (Azure Solutions Architect or similar)a plus

• Experience designing AI agents to automate business process flows (e.g., using Azure OpenAIAssistantsAPI,LangChain, Semantic Kernel, or similar orchestration frameworks).

• Bachelor’s degreerequired;Master’sdegree preferred.

Additional Information:

• This job is based in our Bangalore office, with the possibility of a hybrid work mode

• We are an equal opportunity employer that does not discriminate on the basis of any legally protected status

• Please note that AI is used as part of the application process