Architect

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.

Position Details

| **Experience** | 5–8 Years |

| **Work Location** | Mumbai Suburbs-Andheri |

| **Start Date** | Immediate |

| **CTC** | Open to Discussion |

## Job Description

The selected candidate will be responsible for leading backend development, managing cloud infrastructure and deployments, designing scalable system architectures, and mentoring the engineering team. The role requires strong technical expertise, leadership capabilities, and the ability to translate business requirements into effective technical solutions.

### 1. DevOps and Cloud Infrastructure

- Create and configure cloud instances on Azure, AWS, or GCP.

- Deploy applications and programs to cloud servers and DevOps environments.

- Ensure deployment stability, system uptime, and performance monitoring.

- Automate deployment pipelines and continuously improve CI/CD practices.

- Implement and maintain reliable, scalable, and secure deployment processes.

### 2. Architecture and Backend Development

- Design system architectures with a focus on performance, security, scalability, and reliability.

- Design, develop, and maintain clean, scalable, and optimized backend applications, preferably using Node.js.

- Troubleshoot and resolve complex technical issues across development, testing, and production environments.

- Translate business requirements into effective technical solutions and ensure timely delivery.

- Develop and maintain APIs, microservices, databases, and system integrations.

### 3. Team Leadership and Management

- Lead, mentor, and guide a team of backend developers and engineers.

- Drive Agile development processes, including sprint planning, daily stand-ups, and retrospectives.

- Conduct code reviews and ensure adherence to coding standards and engineering best practices.

- Promote collaboration, accountability, and a high-performance engineering culture.

- Support team members in resolving technical challenges and improving their skills.

## 4.Skills and Qualifications Required

- B.Tech / B.E. in Computer Science, Information Technology, or a related field.

- Strong proficiency in backend development using Node.js, JavaScript, Python, or Java.

- Hands-on experience with DevOps practices and cloud deployment environments.

- Solid understanding of APIs, microservices, databases, and system integration.

- Experience in leading development teams within an Agile/Scrum environment.

- Working knowledge of Linux, Kafka, and Docker.

- Good understanding of CI/CD pipelines, cloud technologies, and deployment automation.

- Strong problem-solving, analytical, communication, and leadership skills.

##5. Behavioural Competencies

- **Team Leadership:** Ability to manage, train, mentor, and guide team members.

- **Relationship Management:** Strong interpersonal skills and the ability to build effective working relationships.

- **Analytical Thinking and Innovation:** Strong analytical capabilities, with a focus on innovative problem-solving.

- **Business Acumen:** Ability to understand business use cases and translate them into practical technical solutions.

- **Customer Empathy:** Ability to understand customer needs and deliver solutions that enhance customer experience.

- **Communication:** Excellent verbal and written communication skills.

Salary will be decided based on your skills and experience.

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.

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.

Why this role exists 

Most systems work at a low scale. 

Very few survive real production load, complex workflows, and enterprise edge cases. 

We are building a platform that must: 

1. Scale from 500K → 20M+ interactions/month 
2. Handle complex insurance workflows reliably 
3. Become easier to deploy as it grows, not harder 
4.  
5. This role exists to build the backend foundation that makes this possible. 

What you’ll do 

You will not just write services. 

You will design and own core platform systems. 

1. Scale the platform without breaking architecture 

1. Scale from 50K → 4M+ interactions/month 
2. Ensure: 
3. High availability 
4. Low latency 
5. Fault tolerance 
6. Avoid large rewrites — build systems that evolve cleanly 

2. Build the workflow automation (WA) engine 

1. Design a flexible system with: 
2. States 
3. Stages 
4. Cohorts 
5. Dynamic workflows 
6. Ensure workflows: 
7. Handle edge cases reliably 
8. Can be configured easily 
9. Move from: 
10. Hardcoded flows → configurable execution engine 

3. Build the insurance-specific data layer 

1. Design data models for: 
2. Policy states 
3. Claim workflows 
4. Consent tracking 
5. Ensure the system works across: 
6. Multiple insurers 
7. Multiple use cases 
8. Build a platform-first data layer, not use-case-specific hacks 

4. Make deployment and setup simple 

1. Ensure workflows and data models are: 
2. Easy to configure 
3. Easy to launch 
4. Reduce friction for: 
5. Product teams 
6. Deployment teams 

5. Create a compounding data advantage 

1. Build a data layer that: 
2. Improves with every deployment 
3. Captures structured signals 
4. Ensure data becomes a long-term edge, not just storage 

6. Own production reliability 

1. Participate in on-call rotation across 3 engineers 
2. Ensure: 
3. Incidents are handled quickly 
4. Root causes are fixed permanently 
5. Build systems where reliability is shared, not individual 

What success looks like 

1. Platform scales to 2M+ interactions/month smoothly 
2. Workflow engine supports complex, dynamic use cases 
3. Data layer enables fast deployment across accounts 
4. Edge cases are handled without constant firefighting 
5. System becomes easier to use as it grows 
6. Production issues are rare and predictable 

Who you are 

1. You have built: 
2. Scalable systems 
3. Distributed services 
4. You think in: 
5. Systems 
6. Data models 
7. Trade-offs 
8. You are comfortable owning: 
9. Architecture 
10. Production systems 

What will make you stand out 

1. Experience building: 
2. Workflow engines 
3. State machines 
4. Data-heavy platforms 
5. Strong understanding of: 
6. System design 
7. Distributed systems 
8. Failure handling 
9. Experience working in: 
10. High-scale production environments 

Why join 

1. You will build the core backend of an AI platform 
2. Your work directly impacts: 
3. Scale 
4. Reliability 
5. Product capability 
6. You will design systems that move from: 
7. Use-case specific → platform-level infrastructure 

What this role is not 

1. Not just API development 
2. Not limited to feature-level work 
3. Not disconnected from production realities 

What this role is 

1. A system architect 
2. A builder of scalable platforms 
3. A driver of long-term technical advantage 

One question to self-evaluate 

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow? 

About the role

You'll take technical ownership of our Backend, Data & ML team and lead the backend development team. You'll design and scale our backend services, APIs and data systems, and bring data science and ML models into production. You'll also be the main technical link to the React Native and Next.js teams.

What you'll do

• Own backend architecture, API design, databases and data infrastructure.
• Design and build data pipelines and data models for analytics and ML.
• Lead the implementation, deployment and monitoring of ML models and data science algorithms in production.
• Work closely with the React Native and Next.js teams on API contracts, data flows and ML/DS integrations.
• Mentor the backend and data team, review code, and set engineering standards along with the TPM.
• Ensure system reliability, security, scalability and observability.
• Take part in the senior on-call rotation, including international paging.

What we're looking for

• 6+ years of backend development, with significant experience in data engineering.
• Strong expertise in Django, relational databases, and API design (REST/GraphQL).
• Hands-on experience building data pipelines.
• Some practical experience deploying ML models to production, including serving, versioning, monitoring and retraining (MLOps).
• Some understanding of common data science algorithms and ML techniques.
• Experience with cloud infrastructure (AWS, GCP or Azure), containers and CI/CD.
• Experience leading or mentoring engineers.
• Excellent communication skills. You should be able to explain backend and data decisions clearly to mobile and web teams.

Note: Full-stack experience is valuable but not mandatory. A strong backend and data specialist who works well with the frontend and mobile teams is a great fit.

Nice to have

• Python ML ecosystem experience (for example scikit-learn, PyTorch, TensorFlow or pandas).
• Experience with LLMs, recommendation systems or real-time data processing.
• Experience with unstructured data
• Familiarity with Next.js or React Native.
• Familiarity with US data protection requirements and compliance laws, such as FERPA or COPPA

Tech Lead – Backend

Roles & Responsibilities

The company is building the operational backbone for how B2B enterprises run their business.

As a Tech Lead on the backend team, you will own the technical direction for a core domain of the platform—systems where correctness is non-negotiable, scale is unforgiving, and edge cases never stop coming. You will also mentor Senior Engineers in your pod.

This is a hands-on role: you will write code and design systems yourself day to day, pair on complex problems, review the work of engineers around you, and be the person who figures out what's actually broken before it becomes a fire.

You will report into the Engineering Manager / Head of Engineering. This is not a feature-factory role. You are here to raise the level of abstraction the team works at, not simply to ship tickets faster.

What You'll Own

• Design and build core platform services that handle complex business logic reliably at scale.
• Architect and own integrations with external enterprise systems, including their quirks, rate limits, and failure modes.
• Build APIs that enterprise engineering teams actually want to integrate with, not just ones that technically work.
• Own production debugging end to end: diagnose issues across services using logs, traces, and metrics, and make incidents boring rather than fires.
• Embed security and compliance thinking into your systems by default, not as a retrofit.
• Mentor Senior Backend Engineers in your pod: pair on hard problems, review their work, and help them grow as engineers.
• Set the architectural direction for your domain: choose frameworks, patterns, and abstractions that shape the platform for years.
• Lead design reviews and code reviews, and set the technical standard the rest of the team calibrates against.
• Hold a clear bar for quality, follow-through, and ownership across the engineers you work with, ensuring systems are healthy in production, not just merged.
• Partner with Product, Implementation, and Customer Success as the engineer who understands the system deeply enough to challenge requirements when necessary.
• Raise the technical bar for the engineers around you without slowing the team down.
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Ideal Candidate

1. Strong Tech Lead / Staff Engineer / Lead Engineer Profile

• Proven experience operating at Tech Lead, Staff Engineer, or Lead Engineer level.

1. Mandatory – Overall Experience

• Minimum 6+ years of overall Software Engineering / Development experience building production backend systems.

1. Mandatory – Tech Lead Ownership

• Proven Tech Lead ownership with experience setting technical direction, architecture, frameworks, or engineering standards used by other engineers.

1. Mandatory – Backend Development

• Strong hands-on backend development experience with deep proficiency in at least one backend programming language such as Python, Java, or Golang.

1. Mandatory – System Design & Distributed Systems

• Strong experience in system design and distributed systems, including architectural trade-offs, scalability, failure modes, reliability, and long-term maintainability.

1. Mandatory – APIs & Integrations

• Experience designing and building APIs, backend services, and external/enterprise integrations.
• Strong experience owning complex business logic and production systems.

1. Mandatory – Technical Leadership

• Formal technical leadership experience, including mentoring Senior Engineers, conducting design and code reviews, driving engineering quality, and leading technical decisions across a team.

1. Mandatory – Hands-on IC + Tech Lead

• Must be a hands-on Individual Contributor + Tech Lead, with approximately 70–80% hands-on coding/engineering involvement.
• Pure people-management profiles are not suitable.

1. Mandatory – Company Background

• Experience working in Product Companies, Startups, or B2B SaaS organizations.

1. Mandatory – Education

• CS degree or equivalent, such as B.Tech / B.E. / B.S.

1. Preferred – Technical Skills

• Experience with Kafka, NATS, RabbitMQ
• AWS
• Docker / Kubernetes
• CI/CD
• Observability and monitoring
• Security and compliance
• Multi-tenant systems
• Financial, billing, or enterprise platforms

Role Overview

We are looking for a visionary yet hands-on Technical Architect who can define enterprise-wide architecture,

technology strategy and engineering standards across multiple products and platforms. The role is expected to

translate business requirements into scalable technical solutions, guide engineering teams, reduce technical risk,

and remain actively involved in implementation when required. This is not a purely advisory or documentation role:

the Architect may be required to contribute directly to production-quality code, prototypes, critical modules, technical

fixes and architectural proof-of-concepts.

Key Responsibilities

• Define enterprise architecture strategy, target architecture and technology roadmap across products and platforms.

• Design scalable, secure, resilient and maintainable systems aligned with business and product objectives.

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

• Convert product/business requirements into clear architecture, technical designs, service boundaries, data models

and API contracts.

• Establish architecture governance, coding standards, engineering best practices, design principles and technical

decision records.

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

• Identify bottlenecks, scalability concerns, security risks and technical debt, and drive practical remediation plans.

• Drive modernization initiatives, technology evaluation and technical investment decisions.

• Mentor and guide Technical Leads, Senior Engineers and other engineering members.

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

• Support estimation, technical planning, solution feasibility and delivery planning for new products and major

features.

Hands-on Coding & Engineering Responsibility

• The role is explicitly hands-on. When required by project priorities, the Technical Architect will contribute directly to

coding and implementation—not only architecture and reviews.

• Develop production-quality backend, frontend or integration components where architectural complexity, criticality or

delivery timelines require Architect-level involvement.

• Build technical prototypes, Proofs of Concept (PoCs), reference implementations and reusable frameworks to

validate architectural decisions.

• Assist engineers in debugging complex production or development issues and provide root-cause analysis.

• Contribute to performance optimization, scalability improvements, security fixes and critical technical modules.

• Review and improve existing codebases and guide refactoring/modernization without losing delivery focus.

• Pair with engineers when necessary to transfer architecture decisions into working code and establish

implementation patterns.

• Remain capable of switching between architecture, design, coding, review and technical troubleshooting based on

business/project requirements.

Core Technical Expertise

• Programming: JavaScript, TypeScript, Python, Go (Golang), Java / Spring Boot

• Architecture: DDD, SOA, API-First, Distributed Systems, Multi-Tenant SaaS

• Backend: Node.js, Express.js, Identity, Authentication/Authorization, Messaging

• Data: MongoDB, Redis, Data Modeling, Query/Performance Optimization

• Frontend/Mobile: React.js, React Native

• AI: LangChain, Gemini, RAG, AI Agents, OCR

• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD

• Security: SSDLC, API Security, Encryption, Governance

• Integrations: WhatsApp Business, Payment Gateways, Enterprise APIs

Product & Engineering Expectations

• Strong understanding of building production-grade software products rather than isolated applications or

proof-of-concepts only.

• Ability to balance ideal architecture with business timelines, budget, maintainability and team capability.

• Comfort working in an evolving product-company environment where requirements may change and multiple

initiatives may run in parallel.

• Ability to make pragmatic technology choices and clearly explain trade-offs to both technical and non-technical

stakeholders.

• Ownership mindset: identify problems proactively, propose solutions and follow through until the technical outcome

is delivered.

• Strong emphasis on reliability, security, observability, performance, scalability and maintainability from design

through production.

Leadership & Collaboration

• Mentor Technical Leads and senior engineers and help establish a strong engineering culture.

• Set clear technical direction without creating unnecessary process or bureaucracy.

• Participate in hiring and technical evaluation of senior engineering candidates when required.

• Help define technical interview standards and assess architecture, coding and problem-solving capability.

• Work directly with leadership to communicate architecture decisions, technical risks, dependencies and delivery

implications.

• Promote documentation of important architecture decisions, APIs, dependencies and operational considerations.

Preferred Qualifications

Experience in FinTech, SaaS, AI platforms, cloud-native architectures and enterprise-scale distributed systems.

Nice to Have

Kafka, GraphQL, Serverless, Machine Learning Platforms, Multi-Cloud Architecture.

What We Expect From the Right Candidate

The ideal candidate

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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1

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.

3

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.