Solution Architect at This role is with Insurance Domain MNC · Gurugram · 14 - 20 years · ₹45L - ₹60L / yr · Posted 24 Sep 2026

Job Description:
Lead regional transformation programs, driving the entire solution architecture lifecycle,
from conceptualization to execution, with a focus on agile and DevOps practices.
Accountable for leading the IT Architecture for all projects and programs, focusing on
innovative business and IT solutions in the insurance domain, such as new-age digital
platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven
insights.
Preferred skills
• Demonstrated expertise in developing cloud-native, microservices-based, and API
driven insurance solutions, leveraging modern architectural patterns and emerging
technologies such as AI/ML, big data, and IoT.
• Thorough understanding of common patterns, frameworks, and reference
architectures for the Insurance domain, with a focus on digital transformation and
innovation.
• Proven experience in leading regional transformation programs, driving the adoption
of agile and DevOps practices.
• Asia regional experience is an advantage.
Qualifications
Minimum Bachelor's degree, preferably with a Master's degree in Computer Science,
Engineering, or a related discipline.
• 15+ years of IT experience, with a minimum of 7+ years in the insurance industry,
focusing on the application of emerging technologies.

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About the Role
We are looking for a Solution Architect with 10–15 years of experience to design scalable, secure, and cloud-ready solutions. The role involves working with customers, Senior Solution Architects, business analysts, project managers, and engineering teams across cloud, modernization, microservices, integration, and digital transformation initiatives.
Must Have Skills
- 10–15 years of experience in software development, architecture, and enterprise application delivery.
- Strong experience with Azure and/or AWS and cloud-native architecture.
- Hands-on experience with Microservices, REST APIs, SOA, and system integration.
- Experience in application modernization and cloud migration.
- Knowledge of Docker, Kubernetes, CI/CD, and Infrastructure as Code.
- Understanding of cloud security, IAM, networking, monitoring, and disaster recovery.
- Ability to create architecture diagrams, solution designs, and technical documentation.
- Strong analytical, communication, and customer-facing skills.
Good To Have Skills
- AWS/Azure certifications.
- Experience with Serverless, Event-Driven Architecture, Messaging, and API Management.
- Exposure to SaaS / Multi-Tenant Architecture.
- Knowledge of Generative AI and AI-enabled solutions.
- Experience with pre-sales, POCs, estimations, and technical proposals.
- Exposure to application security and compliance.
- Experience working with global customers and distributed teams.
Responsibilities
- Design end-to-end solutions and independently own defined architecture workstreams.
- Translate business and technical requirements into application, cloud, integration, and deployment designs.
- Define microservice, API, integration, and data-flow architectures.
- Guide engineering teams on architecture implementation and conduct design/code reviews.
- Contribute to cloud migration, modernization, and digital transformation initiatives.
- Participate in customer workshops, technical discussions, POCs, and solution demonstrations.
- Identify and address architectural, performance, security, and technical risks.
- Ensure solutions follow defined architecture, security, and engineering standards.
- Work closely with the Senior Solution Architect on complex and strategic engagements.
- Develop reusable architecture patterns, templates, and technical accelerators
Next
Position Summary
We are looking for an experienced Enterprise Architect to define and deliver enterprise-scale digital experience architectures leveraging AI/ML capabilities, data platforms, and modern cloud technologies. The role involves partnering with senior business and technology stakeholders to translate business objectives into scalable architectures, strategic roadmaps, and technology solutions.
The ideal candidate will have strong expertise in enterprise architecture, cloud-native technologies, AI-driven customer experiences, and digital marketing platforms, along with the ability to lead architecture initiatives across cross-functional teams.
Key Responsibilities
- Enterprise Strategy & Roadmaps: Define digital, data, and AI strategies, translating business vision into actionable architecture roadmaps aligned with business goals and KPIs.
- Architecture Design: Design end-to-end enterprise and solution architectures integrating digital experience platforms, customer data platforms, AI/ML capabilities, and cloud services.
- Cloud & Technology Architecture: Recommend scalable, secure, and resilient architectures using cloud-native, API-first, microservices, event-driven, and serverless principles across Azure, AWS, or other public cloud platforms.
- AI & Data Architecture: Define architectures for customer data platforms, identity and profile management, data ingestion, governance, personalization, journey orchestration, and AI-powered experiences.
- Architecture Governance: Establish architecture standards, reference architectures, governance frameworks, and operating models to ensure consistency, security, and sustainable technology adoption.
- Stakeholder Management: Collaborate with business leaders, engineering teams, data architects, developers, and data scientists to drive architecture alignment and execution.
- Executive Communication: Lead architecture workshops, visioning sessions, and roadmap presentations, communicating technical recommendations and trade-offs to senior leadership.
- Practice Development: Contribute to reusable architecture assets, mentor architects and consultants, and support presales activities, solutioning, estimations, and proposals.
Required Skills & Experience
- Proven experience in enterprise architecture, solution architecture, and developing enterprise architecture models and roadmaps.
- Strong understanding of architecture frameworks and principles, including TOGAF, SOA, and API-led architecture.
- Hands-on experience with public cloud architecture and services, particularly Microsoft Azure and/or AWS.
- Experience designing and integrating AI-powered solutions, with knowledge of LLMs, prompt engineering, RAG, and model evaluation.
- Understanding of agentic workflows, tool-using agents, and enterprise AI governance, observability, and reliability.
- Experience working with software engineers, application developers, data architects, and data science/ML teams to deliver end-to-end solutions.
- Ability to translate business requirements and strategic vision into technical architectures and implementation roadmaps.
- Strong stakeholder management, leadership, presentation, and communication skills, including experience engaging with senior executives.
- Ability to lead architecture execution across multidisciplinary teams and communicate complex technical concepts to diverse audiences.
Good to Have
- Experience with Adobe Experience Cloud, Adobe Experience Platform, or one or more digital experience solutions.
- Previous experience with other digital marketing and customer experience platforms.
- Experience with customer data platforms, personalization, omnichannel engagement, and marketing optimization initiatives.
- Experience supporting consulting engagements, presales, and enterprise transformation initiatives.
Additional Requirement
- Willingness to travel up to 50%, depending on business and client requirements.
Company Name: Money Honey Financial Services Pvt Ltd Company Profile: We are a one-stop financial services shop, widely known for quality of its advice, personalized service and cutting-edge technology. We started our journey in 2008. Currently we are serving more than 50,000 investors with a team of 100 members. Our core product offering is mutual fund, FD, Govt. Bonds, Debenture, etc. Role Description: This role directs the entire IT infrastructure, software engineering, and digital transformation strategy to support secure, scalable, and compliant technology and business operations.
Skills and Experience Required: 15+ years in IT delivery, application development, and enterprise architecture, with leadership tenure in regulated financial environments. Strong background in enterprise application architecture, cloud migrations (AWS/Azure/GCP), API integrations, and scalable database management using Microsoft and open source technology stack AI / ML Strategy: identifying and implementing high-impact use cases for Generative AI, Agentic AI, predictive analytics, and process automation Domain Expertise: Deep understanding of financial services (mutual fund, corporate fixed deposits, bonds etc.) and critical financial workflows
Responsibilities:
Strategic Technology Leadership: Define and execute the long-term technology vision, digital transformation roadmaps, and engineering strategies aligned with business growth.
Application Development & Delivery: Oversee IT development functions, software product engineering, and core transaction platforms ensuring high availability and minimal downtime
Infrastructure & Operations Management: Manage robust cloud and on premise infrastructure, network architecture, and 24/7 production support systems
Governance, Risk & Compliance (GRC):Ensure adherence to ISO standards, regulatory frameworks, data privacy laws, and stringent cybersecurity standards Location: Goregaon (W), Ram Mandir road, Mumbai Work Model:
Work from office (all working days)
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.
Role Overview
The Principal Architect leads Byteridge’s Technology Strategy & Solutions Group (TSS). This is a senior, visible role responsible for defining technology point-of-view, shaping solution narratives, guiding enterprise conversations, and influencing revenue through differentiated thinking.
The Architect owns thought leadership, reference architectures, solution accelerators, and selective engagement on high-impact deals.
Key Responsibilities
- Own, enhance & execute Byteridge’s technology strategy across priority areas (Cloud, Data, Gen AI, Modernization).
- Create and maintain enterprise-grade reference architectures, solution blueprints, PoCs and accelerators.
- Lead strategic discovery workshops and executive-level solutioning for priority opportunities.
- Partner with Content Marketing to translate technical POVs into blogs, whitepapers, decks, webinars, and sales narratives.
- Enable the Enterprise Account Executive with differentiated solution stories and technical credibility.
- Build strong partnerships with Byteridge delivery teams to identify high-impact solutions and projects that can be leveraged as compelling capability showcases for existing customers and prospective clients.
- Work with Delivery Team Architects to influence delivery standards and architectural consistency across teams.
- Research market and industry trends across technologies, popular enterprise solutions, and buyer adoption patterns. Go deep into selected domains and verticals to continuously refine Byteridge’s technology strategy, solution approaches, and positioning.
- Act as a visible external voice through talks, webinars, and published content.
Ideal Profile
- 13–20 years of experience across technology architecture, solutioning, or technology consulting roles.
- Demonstrated ability to research and synthesize market trends, emerging technologies, and popular enterprise solutions.
- Experience developing deep expertise in specific domains or industry verticals and translating that into solution strategies.
- Strong background in modern software engineering, cloud platforms, data, AI, and enterprise systems.
- Proven track record of influencing client decisions and shaping solution direction, not just designing systems.
- Comfortable working at the intersection of technology, business strategy, marketing, and sales.
- Excellent communication skills with executive presence and the ability to articulate complex ideas clearly.
Success Metrics (KPIs)
- Quarterly technology and market POVs produced and adopted internally or externally.
- Creation and reuse of reference architectures, solution frameworks, and accelerators across deals.
- Number of high-impact delivery projects converted into capability showcases and sales assets.
- Influence on strategic opportunities, measured through deal quality, size, and AE feedback.
- Thought leadership visibility through blogs, webinars, talks, or industry participation.
- Internal adoption of architectural standards and solution approaches by delivery teams.
Read This Before Anything Else
We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.
About CraftMyPlate
CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.
Where We Stand
Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.
Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.
The Technical Reality
Here's an honest read of the engineering problem, not a sanitized version of it.
Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.
Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.
The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.
You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.
Why This Role Exists
You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.
If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.
What You'll Own
- Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
- Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
- The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
- The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
- Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
- Technical accountability. When something breaks, you fix it. You don't escalate and wait.
Our Stack, and the Depth We Expect
Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.
Go deep here. This is where the real architecture decisions live, and where the business impact is highest:
- AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
- TypeScript, our primary language across backend and frontend.
- Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.
Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.
This Is You If
- You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
- You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
- You've made engineers around you measurably better, whether or not you've held the title for it yet.
- You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
- You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
- You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.
This Might Not Be the Right Fit If
- You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
- You'd rather receive direction than bring us architecture and AI strategy yourself.
- You haven't yet gotten hands-on with AI coding tools in your daily work.
- You're drawn more to the title than the work behind it.
If none of that sounds like you, we'd love to hear from you.
Requirements
- 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
- Prior experience leading or mentoring engineers, formally or informally.
- Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
- Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.
Compensation
Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.
If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.
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.
Role Overview
We are looking for an experienced SAP Architect / Principal SAP Architect to lead SAP architecture, integration, modernization, and transformation initiatives across the organization.
The ideal candidate will have a strong foundation in SAP architecture and development, combined with experience in SAP Integration, Data, Cloud and AI technologies. The role requires someone who can work closely with business and technology leadership to design scalable solutions and drive technology transformation.
Location - Hybrid Noida (2 days in a week)/Remote
Key Responsibilities
- Define and own end-to-end SAP solution architecture aligned with business objectives.
- Design and govern integration between SAP and non-SAP enterprise applications.
- Drive architecture across SAP CPI / Integration Suite, PI/PO, APIs, IDocs and enterprise interfaces.
- Architect and enable modern SAP data solutions, including SAP Data Fabric / Business Data Cloud (BDC).
- Identify opportunities to leverage SAP AI Core, GenAI and SAP Analytics Cloud for business transformation.
- Simplify fragmented IT landscapes and enable harmonization of data, systems and business processes.
- Translate functional requirements into scalable and technically feasible solutions.
- Provide technical leadership, architecture guidance and design reviews to SAP development and integration teams.
- Establish reusable architecture patterns, standards and governance.
- Identify technical risks and roadblocks and drive their resolution.
- Work closely with business stakeholders, functional teams and technology leadership.
Required Skills & Experience
- 10+ years of experience in SAP technology, architecture and solution delivery.
- Strong experience in SAP Solution / Technical Architecture.
- Strong hands-on foundation in SAP ABAP.
- Must have worked with wide variety of applications in SAP e.g. ECC, S4HANA, SAP-IS, SAP BW, SAP BODS, HANA Cloud, SAP DataSphere etc
- Past experience of developing integration connectors and adapters using interfaces e.g. RFC, BAPI, IDOC, ODATA, Table Reader, ODP, SAP-BW OHD, CDS etc
- Experience with SAP and third-party system integration.
- Exposure to SAP BTP, SAP Data Fabric / BDC and SAP Analytics Cloud.
- Strong understanding of enterprise data and process integration.
- Excellent stakeholder management and communication skills.
Certifications
- SAP Certified Development Specialist – ABAP for SAP HANA 2.0
- SAP Certified Associate – Design Thinking
- Relevant SAP Architecture, BTP, Integration or Data certifications would be an advantage.
Sr. Technology Architect
Experience Range: 12–15+ years of IT experience, including 3–5+ years in leadership / people management roles.
Location: Chennai, Hyderabad, Bangalore
Qualification: B. Tech /B.E in computer science or equivalent
Minimum 10+ years of experience in Advanced Java
At least 2+ years of experience for the following areas:
- Lead and mentor full-stack development teams across multiple projects and workstreams.
- Define technical architecture, coding standards, and development best practices.
- Drive end-to-end delivery of enterprise applications using Agile methodologies.
- Oversee application design, development, testing, deployment, and production support.
- Ensure adherence to security, performance, quality, and compliance standards.
- Collaborate with clients, product owners, architects, and cross-functional teams.
- Manage resource planning, risk mitigation, technical reviews, and stakeholder communication.
- Promote DevOps, CI/CD, and automation practices to improve delivery efficiency
Must Haves-
- Strong experience in Java Full Stack Development.
- Expertise in Spring Boot and Microservices Architecture.
- Proficiency in Python, Shell Scripting, and backend development.
- Hands-on experience with SQL, Oracle, and PostgreSQL databases.
- Front-end expertise in React, Angular, HTML5, CSS3, Bootstrap, and JSP.
- Experience with Kafka or similar event-driven messaging platforms.
- Strong understanding of API Design, REST Services, and Swagger/OpenAPI.
- Experience implementing security frameworks including OAuth 2.0.
- Hands-on expertise with Jenkins, CI/CD pipelines, and DevOps practices.
- Experience with code quality and security tools such as SonarQube and Fortify.
- Proven people management, stakeholder management, and delivery leadership experience.
- Experience working in Agile/Scrum environments.
Good to Haves-
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes/OpenShift.
- Experience with performance tuning, observability, and application monitoring tools.
- Telecom, OSS/BSS, or enterprise digital transformation domain experience.
- SAFe Agile, PMP, Scrum Master, or cloud certifications.
- Exposure to AI-assisted development tools and engineering productivity platforms.
We’re on hunt for AI Architect
Responsibilities:
- 10–15+ years overall experience, with recent hands-on AI/GenAI architecture ownership.
- Must have architected enterprise AI platforms/solutions end-to-end, not just individual ML models or PoCs.
- Strong GenAI/LLM production experience: RAG, embeddings, vector DBs, hybrid search, reranking, evaluation, guardrails.
- Strong Agentic AI understanding: agents, tool calling, workflows, orchestration, human-in-the-loop.
- Experience taking AI solutions from architecture → production → scale, ideally across multiple business teams/use cases.
- Strong cloud architecture — Azure/AWS preferred; hybrid/on-prem experience is a plus.
- Must understand enterprise security, governance, Responsible AI, observability and LLMOps/MLOps.
- Should be able to articulate build-vs-buy, MVP-vs-target architecture, cost/performance/security tradeoffs.
- Strong stakeholder-facing / consulting ability — can work with business leaders, engineering, security and data teams and influence without authority.
There is scope to move to the US for this role if you are aligned for the same, else this will be a WFO role from Hyderabad location








