Sr. Solution Architect

Job Title

Solution Architect — Building an In‑House Payment Investigation Platform

Role purpose

Design and lead the delivery of an in‑house platform that supports end‑to‑end payment investigations (exceptions, recalls/returns, claims, enquiries, tracking, evidence and audit), integrating with payment processing, case management, messaging networks and customer channels. You’ll shape the target architecture, drive engineering alignment, and ensure the platform is secure, resilient, compliant and operable at scale.

Key responsibilities

Architecture & solution design

• Own end‑to‑end solution architecture across channels, APIs, workflow/case services, data, integration and observability.
• Define target state architecture and transition roadmap (strangler patterns, incremental migration from legacy/manual processes).
• Produce architecture artefacts: HLD/LLD inputs, C4 diagrams, data flow diagrams, sequence flows, NFRs, runbooks, ADRs.
• Design investigation workflows: triage, assignment, SLA timers, evidence capture, maker/checker controls, decisioning and closure.
• Establish canonical data models for investigation cases, events, payment references, counterparties and communications.

Integration & payments domain

• Architect integrations with payment rails and services (e.g., SWIFT, CHAPS/Faster Payments, SEPA, RTP equivalents depending on market), gateways and core banking/payment hubs.
• Design inbound/outbound messaging patterns for investigations: status requests, recalls, return handling, charge/claim processes, correspondence.
• Ensure idempotency, correlation (end‑to‑end trace IDs), retries, dead‑lettering and reconciliation for all investigation flows.
• Define event-driven patterns (pub/sub) and API contracts for upstream/downstream teams.

Non‑functional requirements (NFRs)

• Drive NFRs covering resilience (active-active where required), availability, latency, throughput, disaster recovery, and capacity planning.
• Ensure strong security architecture: threat modelling, IAM, RBAC/ABAC, privileged access, secrets management, encryption in transit/at rest.
• Design for auditability and compliance: immutable logs, evidential storage, full case history, segregation of duties, retention policies.
• Embed observability: metrics, logs, traces, SLOs/SLIs, alerting, incident playbooks.

Delivery leadership

• Partner with Product Owners, Engineering Leads, Ops/SRE, InfoSec, Risk/Compliance, and business SMEs to align scope and priorities.
• Provide architectural governance: design reviews, standards, guardrails, and technical decision facilitation.
• Mentor squads on patterns (API design, eventing, data, resilience) and unblock delivery through pragmatic trade-offs.
• Support vendor/product evaluation when needed (BPM/workflow, rules engines, document/evidence stores).

Data & analytics

• Define data strategy for operational reporting, MI and regulatory reporting (case volumes, SLA breaches, root-cause categories).
• Architect data lineage and quality controls; define golden source for investigation outcomes.
• Support analytics for proactive issue detection (e.g., recurring breaks, correspondent issues, fraud signals where applicable).

Typical deliverables

• Target architecture + phased migration plan
• NFR catalogue and platform guardrails
• Integration patterns and API/event contract standards
• Event Driven Integration
• Operational readiness: monitoring, runbooks, DR plans, support model
• Architecture Decision Records (ADRs)

Required skills & experience

• Proven Solution Architect experience delivering mission-critical platforms in banking/financial services.
• Strong payments domain knowledge: investigation lifecycles, recalls/returns, exceptions handling, payment references and reconciliation.
• Integration expertise: APIs (REST/gRPC), messaging (Kafka/AMQP), event-driven architecture, workflow orchestration, distributed systems.
• Security by design: IAM, encryption, key management, secure SDLC, threat modelling.
• Resilience engineering: HA/DR designs, failure modes, back-pressure, idempotency, consistency models.
• Cloud and/or hybrid architecture experience (container platforms, service mesh optional), plus CI/CD and infrastructure-as-code awareness.
• Strong stakeholder management and ability to translate business outcomes into implementable designs.

Desirable

• Experience with case management/BPM platforms and investigation tooling patterns.
• Familiarity with SWIFT message types relevant to investigations and tracking (depending on scope/market).
• Knowledge of operational risk controls, audit requirements, and regulatory expectations around payment handling.
• Experience modernising legacy payments operations using incremental migration.

Education / certifications (optional)

• Degree in Computer Science/Engineering or equivalent experience
• Architecture certifications (e.g., TOGAF) and/or cloud certifications (as applicable)

Position

Solution Architect/Technical Architect

Experience

·       12 - 16+ years of overall IT experience

·       Significant hands-on experience working as a Solution/Technical Architect

Education

·       B.Tech / M.Tech / MCA / MBA or equivalent

Certifications

·       TOGAF® certification (Level 1/2) preferred to ensure alignment with enterprise architecture standards

·       Microsoft Certified: Azure Solutions Architect Expert (AZ-305) and other supporting certifications such as AZ-104, AZ-400, or AZ-500 preferred.

Key Responsibilities

·       Define and evolve the target architecture for .NET-based distributed platform.

·       Architect highly configurable solutions on Azure with strong focus on scalability, tenant isolation, resilience, maintainability, and speed of delivery.

·       Lead solution design across ASP.NET Core services, REST APIs, event-driven workflows, background processing, integration patterns, and shared platform capabilities.

·       Drive adoption of modern .NET and cloud-native patterns including microservices, domain-driven design, event-driven architecture, API-first design, and secure service-to-service communication.

·       Partner with engineering teams on real implementation decisions, review critical designs and code paths, and provide hands-on guidance for performance, operability, and production readiness.

·       Architect Azure-native deployment patterns using AKS, containers, API Management, Service Bus/Event Grid or equivalent messaging, Key Vault, managed observability, and CI/CD automation.

·       Work with data and platform teams on PostgreSQL-backed service design, data access patterns, caching strategies, and database performance for high-volume transactional workloads.

·       Define non-functional requirements and architecture guardrails around performance, scalability, availability, recoverability, security, compliance, and cost efficiency.

·       Embed DevSecOps and observability into platform design through telemetry, tracing, alerting, diagnostics, secrets management, and release governance.

·       Evaluate emerging technologies, AI-assisted engineering enablers, and modernization options pragmatically, with clear build-vs-buy and risk-reward trade-offs.

·       Mentor senior engineers and technical leads, contribute to architectural governance, and create reusable patterns, reference implementations, and standards across teams.

·       Bachelor’s or master’s degree in computer science, Engineering, or a related field.

·       12–16 years of experience in software engineering, solution architecture, or platform engineering, with significant experience in Microsoft technology stacks.

Essential Qualification and Skills

·       Strong hands-on expertise in C#, .NET / .NET Core / .NET 8, ASP.NET Core, Web APIs, background services, and enterprise application design.

·       Deep experience in architecting distributed systems using microservices, asynchronous messaging, event-driven design, and API-led integration patterns.

·       Strong Azure architecture experience, preferably across AKS, App Services, Functions, API Management, Key Vault, Service Bus, Event Grid, Storage, monitoring, and identity integration patterns.

·       Experience designing and supporting platforms, configurable product architectures, and integration-heavy enterprise solutions.

·       Strong understanding of relational databases and performance engineering, especially SQL Server and/or PostgreSQL, including schema design, indexing, query tuning, and transaction handling.

·       Solid grasp of non-functional architecture including performance, scalability, availability, fault isolation, observability, and disaster recovery.

·       Strong understanding of application and platform security including authentication, authorization, secrets management, encryption, secure coding, and compliance-oriented design.

·       Experience with containers, Kubernetes, CI/CD, infrastructure automation, and modern DevSecOps practices.

·       Ability to make sound architecture decisions with a balance of pragmatism, delivery speed, engineering quality, and long-term maintainability.

·       Strong communication and stakeholder management skills across product, engineering, architecture, operations, security, and client-facing teams.

Skills & Competencies

·       Experience in insurance, Insurtech, BFSI, or other regulated, transaction-heavy domains.

·       Exposure to policy administration, billing, accounting, claims, workflow orchestration, or reporting platforms within the insurance value chain.

·       Experience with architecture frameworks and modelling approaches such as TOGAF, domain-driven design, UML, C4, or equivalent practical architecture methods.

·       Familiarity with mixed technology landscapes involving .NET, Java/Spring Boot, enterprise workflow tools, and integration ecosystems.

·       Experience with observability and reliability tooling such as Datadog, Dynatrace, Application Insights, Open Telemetry, Grafana, or similar.

·       Working knowledge of Angular, React, or modern web application architecture patterns.

·       Exposure to AI-enabled engineering, intelligent automation, or embedding AI capabilities into enterprise platforms.

·       Leadership experience across globally distributed or virtual teams.

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.

Senior Salesforce Architect

We are looking for a highly experienced Senior Salesforce Consultant / Salesforce Architect with strong expertise in Salesforce architecture, solution design, enterprise discovery, platform assessment, data analysis, integrations, and business process transformation.

The consultant will support requirements gathering, assessment of existing Salesforce environments, data and process analysis, platform rationalization, and evaluation of Salesforce as a potential target platform.

⚠️ Mandatory Certification

A valid Salesforce Solution Architect / Application Architect certification is mandatory. Candidates without this certification will not be considered.

Key Responsibilities

• Participate in business and technical discovery sessions with stakeholders across organizations.
• Understand and document current-state customer success processes, workflows, data structures, and Salesforce platform usage.
• Assess existing Salesforce environments, including:
• Salesforce data model and objects
• Configuration and customization
• Workflows and automation
• Business rules
• Roles, profiles, permissions, and security
• Enterprise integrations
• Data quality, duplication, and dependencies
• Custom applications and components
• Analyze how Salesforce data and processes interact with Atlassian/Jira Service Management and ServiceNow.
• Identify Salesforce capabilities supporting the future-state operating model.
• Evaluate gaps between current Salesforce capabilities and business requirements.
• Provide recommendations covering platform fit, configuration vs. customization, data migration, integrations, and target-state architecture.
• Contribute to future-state design and Design Blueprint.
• Identify data migration considerations including mapping, data quality, historical data, transformation requirements, and dependencies.
• Identify risks, assumptions, constraints, and dependencies.
• Collaborate with Salesforce, ServiceNow, JSM, data migration, and business transformation teams.
• Present Salesforce findings, architecture considerations, and recommendations to client stakeholders and senior leadership.
• Support enterprise application consolidation, platform rationalization, and transformation initiatives.

Required Skills & Experience

• 9+ years of Salesforce experience
• Strong Salesforce consulting, solution design, architecture, or platform assessment experience.
• Strong understanding of Salesforce architecture and platform capabilities.
• Strong knowledge of:
• Salesforce Data Model
• Configuration & Customization
• Automation
• Security
• Roles, Profiles & Permissions
• Integrations
• Hands-on Salesforce architecture and solution design experience.
• Enterprise-scale Salesforce discovery and assessment experience.
• Ability to translate business requirements into Salesforce capabilities and solution options.
• Strong understanding of data migration and data integration.
• Experience assessing complex Salesforce environments with significant customization and integration footprints.
• Experience with enterprise application consolidation, platform rationalization, or technology transformation.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder-management skills.
• Ability to work with both business and technical stakeholders.
• Experience working in multi-platform environments involving Salesforce, ServiceNow, Atlassian/Jira Service Management, and data migration teams.

Preferred Skills

• Salesforce Certified Administrator
• Platform Developer
• Platform App Builder
• Sales Cloud Consultant
• Service Cloud Consultant
• Application Architect
• System Architect
• Service Cloud
• Salesforce Data Cloud
• ServiceNow
• Atlassian / Jira Service Management
• Salesforce data migration
• M&A integration
• Post-acquisition technology consolidation
• Large-scale operating model and technology transformation

Core Competencies

Salesforce Architecture | Solution Design | Enterprise Salesforce Assessment | Salesforce Discovery | Data Model & Data Analysis | Configuration & Customization | Automation & Workflows | Security & Access Management | Integration Architecture | Data Migration | Platform Rationalization | Enterprise Application Consolidation | Business Process Analysis | Target-State Architecture

About the Role

Antier Solutions is looking for a technically strong AI Solution Architect to drive the architecture, design, and technical execution of AI-powered solutions.

The role requires a combination of deep technical expertise, architectural ownership, and the ability to guide engineering teams in building scalable, production-ready AI systems. The individual will evaluate business problems, define technical approaches, make architecture decisions, and work closely with developers and stakeholders to translate ideas into working solutions.

This is a hands-on architecture and technical leadership role, not one limited to documentation, project coordination, or pre-sales presentations.

Key Responsibilities

1. AI Architecture & Solution Design

• Design end-to-end architectures for AI, Generative AI, LLM-based applications, and agentic AI systems.
• Evaluate and select appropriate models, frameworks, orchestration approaches, and technology stacks.
• Design solutions involving RAG, AI agents, workflow automation, APIs, databases, and enterprise integrations.
• Define architecture standards covering scalability, security, performance, maintainability, and deployment.
• Evaluate technical feasibility, identify risks, and recommend practical implementation approaches.

2. Technical Leadership & Implementation

• Provide architectural direction and technical guidance to AI engineers and developers.
• Review proposed designs and implementation approaches, identifying technical gaps and potential bottlenecks.
• Establish reusable architecture patterns, development standards, and engineering best practices.
• Troubleshoot complex technical challenges and contribute hands-on where necessary.
• Guide teams in adopting AI-assisted development and agentic workflows where they improve engineering productivity.

3. Production Readiness & Quality

• Design solutions with appropriate authentication, access controls, logging, monitoring, testing, and evaluation mechanisms.
• Address AI-specific challenges such as hallucinations, retrieval quality, model selection, latency, reliability, and inference costs.
• Define appropriate human oversight and validation mechanisms for sensitive or consequential workflows.
• Guide deployment decisions across suitable cloud, on-premise, and hybrid environments.

4. Business Alignment & Delivery Ownership

• Understand business requirements and translate them into implementable technical solutions.
• Work with stakeholders to establish scope, dependencies, estimates, resource requirements, and delivery milestones.
• Collaborate with engineering and delivery teams to move solutions from proof of concept to production.
• Balance rapid execution with architectural quality, maintainability, and commercial feasibility.
• Communicate technical decisions, risks, and trade-offs clearly to business and technical stakeholders.

Required Skills & Experience

• B.Tech, BE, MCA, MSc, or equivalent technical qualification in Computer Science, IT, Data Science, or a related discipline.
• 8+ years of overall experience in software engineering, AI engineering, solution architecture, or related technical roles.
• Strong hands-on experience building AI/ML or Generative AI applications, with demonstrated responsibility for architecture and implementation decisions.
• Strong understanding of LLMs, RAG pipelines, agentic AI systems, tool calling, orchestration, and AI-driven automation.
• Experience with Python and relevant AI frameworks, libraries, and integration technologies.
• Strong understanding of APIs, databases, data pipelines, distributed systems, and application architecture.
• Experience evaluating AI solutions for accuracy, reliability, performance, security, and cost.
• Ability to guide developers, review technical approaches, resolve complex problems, and establish reusable engineering practices.
• Experience deploying or supporting AI applications in production environments.
• Strong analytical, communication, and technical decision-making skills.

Preferred Qualifications

• Experience architecting multi-agent systems or complex AI automation workflows.
• Exposure to cloud platforms, containerization, CI/CD, observability, and scalable AI infrastructure.
• Experience mentoring engineering teams and introducing new AI development practices.
• Experience with enterprise AI deployments, international clients, or technically complex business environments.

Ideal Candidate Profile

• We are looking for an individual who can independently own technical architecture, guide engineering teams, and make sound implementation decisions. The candidate should combine hands-on AI expertise with the ability to turn business requirements into scalable, production-ready solutions.
• Candidates whose experience is limited to AI research, business analysis, project coordination, or pre-sales documentation without meaningful technical implementation and architecture ownership may not be suitable.

We are seeking an experienced Salesforce Solution Architect to lead the design, development, and evolution of enterprise Salesforce solutions supporting global B2B and B2C business operations.

The ideal candidate will combine strong solution architecture capabilities with hands-on Salesforce technical expertise. The role requires someone who can translate complex business requirements into scalable, secure, and maintainable solutions, guide development teams, make sound architectural decisions, and write or debug code when required.

The architect will work across multiple Salesforce applications, external enterprise systems, country-specific business processes, and cross-functional technology teams to ensure solutions align with enterprise architecture standards and long-term business objectives.

Key Responsibilities

1. Solution Architecture and Design

Own end-to-end Salesforce solution architecture, from requirements discovery through design, implementation, deployment, and production support.

Translate business requirements into scalable Salesforce architectures, technical designs, data models, integration patterns, and implementation roadmaps.

Evaluate standard Salesforce capabilities, configuration, declarative automation, custom development, and external services to recommend the most appropriate solution.

Define architectural standards, reusable components, coding guidelines, design patterns, and technical best practices.

Assess the impact of proposed changes on existing applications, integrations, business processes, and future enhancements.

Identify technical risks, scalability constraints, platform limitations, and opportunities for simplification.

2. Hands-on Salesforce Development

Write, review, debug, and optimize Apex, Lightning Web Components (LWC), SOQL, and other Salesforce customizations when required.

Develop proof-of-concepts and technical prototypes to validate architectural decisions and resolve complex technical challenges.

Demonstrate strong understanding of Apex triggers, asynchronous processing, Batch Apex, Queueable Apex, platform events, transaction management, and governor limits.

Ensure code follows bulkification, security, exception-handling, testability, and performance best practices.

Review complex implementations and guide developers in resolving technical issues.

Participate directly in critical development activities, production troubleshooting, and performance optimization when necessary.

3. Salesforce Data Modeling and Governance

Design scalable Salesforce data models using standard and custom objects, appropriate relationships, and well-defined ownership and sharing strategies.

Define data mastership, external identifiers, deduplication, matching, data migration, and reconciliation approaches.

Design data models that support global customer identities, B2B relationships, B2C customer journeys, and country-specific business requirements.

Ensure appropriate data access, privacy, auditability, and regulatory considerations are incorporated into the architecture.

4. Integration Architecture

Design and govern integrations between Salesforce and enterprise platforms such as SAP, customer portals, identity providers, middleware, and marketing platforms.

Define suitable integration patterns using REST/SOAP APIs, event-driven architecture, asynchronous processing, and middleware where appropriate.

Address authentication, authorization, idempotency, retries, error handling, monitoring, reconciliation, and integration resilience.

Collaborate with enterprise integration and platform teams to manage dependencies, API contracts, release sequencing, and system-wide changes.

5. Global Platform and Release Governance

Support a global Salesforce platform operating across multiple countries and business markets.

Balance global architecture standards with legitimate local business and regulatory requirements.

Evaluate the impact of changes across countries, applications, integrations, and downstream systems before approving designs.

Coordinate with business stakeholders, development teams, QA, DevOps, security, and platform teams to ensure controlled delivery.

Contribute to release planning, technical risk assessments, environment strategy, deployment readiness, and production stability.

Prevent unnecessary customization and architectural fragmentation across markets.

6. Technical Leadership and Team Enablement

Provide technical direction and architectural guidance to Salesforce developers, technical leads, QA engineers, and integration teams.

Conduct architecture reviews, code reviews, design walkthroughs, and technical knowledge-sharing sessions.

Establish development standards and reusable patterns that improve code quality, maintainability, and developer productivity.

Mentor team members and support technical decision-making across distributed teams.

Communicate architectural decisions, trade-offs, risks, and recommendations clearly to both technical and business stakeholders.

7. Platform Evolution and Continuous Improvement

Evaluate new Salesforce capabilities and recommend adoption based on business value, technical fit, and platform strategy.

Identify opportunities to improve performance, reduce technical debt, simplify integrations, and optimize delivery costs.

Contribute to Salesforce platform roadmaps and long-term architecture decisions.

Support production incident analysis and implement sustainable solutions that prevent recurring issues.

Required Technical Skills

Strong expertise in Salesforce Sales Cloud and Experience Cloud.

Hands-on experience with Apex, Triggers, LWC, SOQL, Salesforce security, and declarative automation.

Strong understanding of Salesforce data modeling, sharing and visibility, governor limits, transaction boundaries, and platform architecture.

Experience designing enterprise integrations using REST/SOAP APIs and asynchronous or event-driven patterns.

Understanding of integration resilience, error handling, monitoring, data reconciliation, and API security.

Experience with Salesforce deployments, source control, CI/CD, and release management.

Familiarity with enterprise identity and access management, SSO, OAuth, and external identity solutions.

Ability to diagnose complex technical issues and validate architectural decisions through working code or prototypes.

Preferred Experience

Experience with Salesforce Marketing Cloud and customer engagement integrations.

Exposure to Salesforce Data Cloud and/or Salesforce Life Sciences Cloud.

Experience with SAP or other ERP integrations.

Experience with middleware and integration platforms such as MuleSoft, SnapLogic, Informatica, or equivalent technologies.

Experience with multi-country Salesforce implementations and global platform governance.

Experience with Experience Cloud portals, external users, customer identity, and large-scale customer data management.

Familiarity with consent management, customer data privacy, and market-specific regulatory requirements.

Experience and Qualifications

Typically 10+ years of Salesforce or relevant enterprise CRM experience.

Demonstrated experience owning solution architecture for complex Salesforce implementations.

Proven experience leading technical teams and collaborating across business and technology functions.

Salesforce Application Architect certification preferred; System Architect or relevant advanced certifications are an advantage.

Strong analytical, communication, stakeholder-management, and problem-solving skills.

Success Criteria

The successful candidate will be expected to:

Deliver scalable and maintainable architecture aligned with enterprise standards.

Make defensible design decisions with clear consideration of alternatives, risks, and trade-offs.

Independently validate critical technical designs through code, prototypes, debugging, and code reviews.

Minimize regression risk across existing systems, integrations, and country implementations.

Improve engineering standards and enable development teams to deliver consistently.

Maintain a balance between architectural leadership and hands-on technical contribution.

Role Expectation

This is an architecture-led role with hands-on technical responsibilities. The candidate is not expected to spend every day implementing features, but must be capable of independently writing and debugging Apex and related Salesforce code when complex technical challenges, critical issues, or architectural validation require it.

Key Responsibilities

·       System Design: Design secure, scalable, and highly available multi-tenant cloud-based application architectures.

·       Integration Strategy: Build robust APIs, webhooks, and data pipelines for complex enterprise client connections.

·       Technical Guidance: Mentor software engineers and lead critical code and architecture reviews to ensure engineering excellence.

·       Performance & Security: Drive non-functional infrastructure needs including high uptime, strict data privacy compliance, and fast application response times.

·       Cross-Functional Collaboration: Partner closely with Product, Security, and Customer Success teams to align technical execution with business roadmaps.

Required Qualifications

·       Experience: 8+ years of experience in software engineering with at least 3+ years operating as a technical or solutions architect within a B2B SaaS environment.

·       Cloud & DevOps: Deep production knowledge of major cloud infrastructure (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and modern CI/CD automation pipelines.

·       Architecture Patterns: Proven expertise designing microservices, event-driven architectures, and high-performance relational and NoSQL database structures.

·       Communication: Strong written and verbal communication skills, with a proven ability to translate complex technical concepts clearly to both engineers and business stakeholders.

·       Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical work experience).

Preferred Skills

·        Prior experience managing architectural frameworks for enterprise compliance frameworks like SOC2, ISO 27001, or GDPR.

·        Background in building real-time data processing engines, stream frameworks, or integrating enterprise AI/ML components.

Technical Architect

Experience:

10+ Years

Work Mode:

Onsite / Hybrid

Role Type:

Architecture + Hands-on Engineering + Technical Leadership

Role Overview

We are looking for an experienced and hands-on

Technical Architect

who can define enterprise-widearchitecture, technology strategy, and engineering standards across multiple products and platforms.

The Technical Architect will translate business requirements into scalable technical solutions, guideengineering teams, reduce technical risks, and remain actively involved in implementation when required.

This is

not a purely advisory or documentation-focused role

. The successful candidate should becomfortable contributing directly to production-quality code, prototypes, critical modules, technical fixes,and architectural Proofs of Concept (PoCs).

Key Responsibilities

Define enterprise architecture strategy, target architecture, and technology roadmaps acrossproducts and platforms.

Design scalable, secure, resilient, and maintainable software systems.

Architect cloud-native, distributed, microservices-based, and multi-tenant SaaS solutions.

Translate product and business requirements into architecture, technical designs, serviceboundaries, data models, and API contracts.

Establish architecture governance, coding standards, engineering best practices, and designprinciples.

Conduct architecture reviews, design reviews, code reviews, and technical risk assessments.

Identify scalability bottlenecks, security risks, performance issues, and technical debt.

Drive modernization initiatives and technology evaluations.

Guide technology selection and technical investment decisions.

Mentor Technical Leads, Senior Engineers, and other engineering team members.

Collaborate with Product, Engineering, QA, DevOps, Security, and business stakeholders.

Support technical estimation, solution feasibility, delivery planning, and architecture planning.

Hands-on Engineering Responsibilities

The Technical Architect must remain actively involved in engineering and should be capable of switchingbetween architecture and implementation depending on project requirements.

Responsibilities include:

Develop production-quality backend, frontend, or integration components when required.

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Build technical prototypes, PoCs, reference implementations, and reusable frameworks.

Assist engineering teams with complex technical and production issues.

Perform root-cause analysis and technical troubleshooting.

Contribute to performance and scalability improvements.

Implement or guide security fixes and critical technical modules.

Review existing codebases and recommend improvements.

Drive refactoring and modernization initiatives.

Conduct code reviews and establish implementation patterns.

Pair with engineers when required to translate architectural decisions into working software.

Remain comfortable moving between architecture, design, coding, reviews, and troubleshooting.

Core Technical Skills

Programming

JavaScript

TypeScript

Python

Go / Golang

Java

Spring Boot

Architecture & System Design

Microservices Architecture

Distributed Systems

Multi-Tenant SaaS

Domain-Driven Design (DDD)

Service-Oriented Architecture (SOA)

API-First Architecture

Cloud-Native Architecture

Enterprise Application Architecture

Backend Engineering

Node.js

Express.js

REST APIs / Enterprise APIs

Identity Management

Authentication & Authorization

Messaging

Integration Architecture

Database & Data

MongoDB

Redis

Data Modeling

2

Query Optimization

Performance Optimization

Frontend & Mobile

React.js

React Native

Cloud & DevOps

AWS

Docker

Kubernetes

CI/CD

Containerized Applications

Cloud-Native Deployments

Security

Secure Software Development Lifecycle (SSDLC)

API Security

Encryption

Security Governance

Authentication & Authorization

AI & Emerging Technologies

LangChain

Gemini

Retrieval-Augmented Generation (RAG)

AI Agents

OCR

Enterprise Integrations

Enterprise APIs

Payment Gateways

WhatsApp Business Integration

Third-Party System Integrations

These technologies and architecture areas are specified as the core technical expertise for the position.

Product & Engineering Expectations

The ideal candidate should have:

Strong experience building production-grade software products, not only isolated applications or

PoCs.

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Ability to balance ideal architecture with business timelines, budget, maintainability, and

engineering-team capabilities.

Experience working in evolving product environments with changing requirements and multiple

parallel initiatives.

Strong ability to evaluate technology options and explain technical trade-offs.

Ownership mindset with the ability to proactively identify and resolve technical problems.

Strong understanding of reliability, security, observability, performance, scalability, and

maintainability.

Ability to take architectural decisions from initial design through successful production

implementation.

Technical Leadership & Collaboration

Mentor Technical Leads and Senior Engineers.

Establish and promote a strong engineering culture.

Define clear technical direction and engineering standards.

Lead architecture, design, and code reviews.

Participate in technical hiring and evaluation of senior engineering candidates.

Help establish technical interview and engineering assessment standards.

Evaluate architecture, coding, system design, and problem-solving capabilities.

Communicate architecture decisions, technical risks, dependencies, and delivery implications to

leadership.

Promote effective documentation of architecture decisions, APIs, dependencies, and operational

considerations.

Preferred Experience

Experience in one or more of the following areas will be preferred:

FinTech

SaaS Products

AI Platforms

Cloud-Native Applications

Enterprise-Scale Distributed Systems

Nice to Have

Kafka

GraphQL

Serverless Architecture

Machine Learning Platforms

Multi-Cloud Architecture

Ideal Candidate Profile

The ideal candidate is a senior engineer and architect capable of operating at both strategic and

implementation levels.

AI Solution Architect

Experience: 12+ Years

Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days

Primary Skills: Enterprise Architecture, Python, REST APIs, Microservices, Distributed Systems, Cloud (AWS/Azure/GCP), CI/CD, Docker, Kubernetes, Enterprise Data Architecture, Integration Patterns.

Preferred Skills: LLM Integrations, RAG Pipelines, AI Agents, Agentic Workflows, MCP (Model Context Protocol), Vector Databases, Prompt Engineering, LangChain/LlamaIndex, LLMOps, Multi-Agent Orchestration.

About the Role

At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core. We focus on building secure, scalable, production-grade AI systems that solve real business problems and deliver measurable outcomes.

We're looking for an AI Solution Architect who can own enterprise-level solution architecture end-to-end. The ideal candidate combines deep technical expertise with the ability to understand complex business challenges, engage with prospective clients, and design compelling, scalable, AI-native solutions.

This is a senior technical role at the intersection of enterprise architecture, pre-sales, solutioning, and delivery governance. You'll collaborate with leadership, engineering teams, and clients to architect solutions spanning AI integrations, RAG pipelines, agentic workflows, cloud infrastructure, and enterprise platforms.

This role requires a strong technical background and current hands-on expertise. Candidates with purely pre-sales experience or non-technical solutioning backgrounds will not be a fit.

Key Responsibilities

• Own end-to-end enterprise architecture for AI-native platforms, defining high-level and low-level designs across backend systems, data platforms, and AI components.
• Lead solutioning for complex enterprise engagements, translating client requirements into technically sound, secure, scalable, and commercially viable architectures.
• Define reference architectures and design standards for LLM integrations, RAG pipelines, agentic workflows, MCP-based integrations, and enterprise data platforms.
• Partner with pre-sales and business development teams to prepare RFP responses, technical proposals, solution presentations, and architecture documents.
• Lead client discovery sessions and technical presentations, communicating architectural decisions and trade-offs to technical and executive stakeholders.
• Conduct architecture reviews and technical assessments to ensure scalability

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.