IND Sr Staff Solution Architect Engineering AWS

Posted 2 Days Ago
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Puppalagunda, Manikonda, Rangareddy, Telangana, IND
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Design and implement cloud-native, microservice and event-driven enterprise architectures on AWS and GCP. Integrate agentic/GenAI solutions (RAG, orchestration), build reusable IaC/modules, and mentor teams on secure, scalable, and maintainable patterns.
Summary Generated by Built In
IND Senior Staff Software Engineer - GCC020

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Job Description: Solution Architect, Engineering

Location: Hyderabad, India

Employment Type: Full-Time

Experience Level: 10+ Years

A seasoned hands-on architect, who brings depth in enterprise application architecture, a strong data modelling mindset and a hands-on exposure to cloud-native and AI first (agentic) paradigms. This role sits at the intersection of application modernization, data platform design and next-generation AI integration. This role also blends hands-on rapid engineering with architecture thought leadership, enabling teams through reusable patterns, best practices, and technical mentorship. The Solution Architect partners closely with Enterprise Architecture, Product teams, and cloud enablement partners to engineer secure, scalable, and reliable solutions aligned to enterprise standards.

Key Responsibilities

Architect and engineer solutions

  • Design end-to-end solution architectures for enterprise applications.
  • Lead architectural reviews, define integration patterns and establish guardrails for development teams.
  • Multi-cloud solution design trade-offs
  • Architect and design end-to-end cloud-native solutions at a component level, ensuring consideration for FinOps, scalability, resiliency, security, and maintainability.
  • Design, and engineer modular, microservice & event-driven solutions using modern design patterns and best practices.
  • Develop reference architectures implementations to accelerate adoption of reusable patterns and solution engineering.

Assess new and emerging technologies. Deliver ‘golden path’ engineering accelerators—IaC modules, microservice templates, pipeline patterns—to reduce solution delivery friction.

Agentic AI Integration

  • Evaluate and incorporate agentic AI frameworks into product and operations workflows.
  • Design RAG pipelines and agent orchestration layers that connect to enterprise data and APIs
  • Define guardrails for responsible AI development – covering observability, explainability, human-in-the loop controls, and compliance.

Cloud and Architecture Enablement (AWS + GCP)

  • Design and deploy workloads on AWS (e.g., ECS/Lambda, API Gateway, RDS, DynamoDB/RDS, S3, IAM/networking).
  • Design and deploy workloads on GCP (e.g., Cloud Run, GKE, Cloud Functions, API Gateway, BigQuery, IAM/networking).
  • Drive containerization and orchestration using Docker and Kubernetes (EKS/GKE as applicable).
  • Ensure solutions adhere to enterprise architecture standards, security controls, and operational readiness expectations.

Innovation, Collaboration, and Mentorship

  • Partner with engineering teams to define and maintain reusable frameworks, patterns, and engineering playbooks.
  • Conduct POCs to evaluate emerging cloud services and frameworks and recommend adoption paths.
  • Provide technical leadership through design reviews, code reviews, and mentoring engineers across teams.

Required Skills

  • 10+ years of experience building and shipping enterprise software solutions.
  • Strong hands-on expertise in solution engineering (API/microservices design, performance, concurrency, secure coding).
  • Demonstrated hands-on delivery experience with AWS and GCP cloud-native services.
  • Hands on exposure of AI orchestration frameworks like LangChain/LangGraph.
  • Hands on exposure of GCP Vertex AI. Experience integrating AI capabilities into applications (e.g., Vertex AI, GenAI services).
  • Demonstrated experience designing data platforms including data warehouses, data lakes and streaming architectures (Kafka, Kinesis or equivalent)

What We Offer

  • Opportunity to work on modern cloud-native architecture and engineering at enterprise scale.
  • Collaborative and innovative work environment with strong architecture partnership.
  • Competitive compensation and comprehensive benefits.
  • Continuous learning and professional development opportunities.

About Us | Our Culture | What It’s Like to Work Here

Skills Required

  • 10+ years building and shipping enterprise software solutions
  • Hands-on expertise in API/microservices design, performance, concurrency, and secure coding
  • Hands-on delivery experience with AWS cloud-native services (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, IAM)
  • Hands-on delivery experience with GCP cloud-native services (Cloud Run, GKE, Cloud Functions, BigQuery, IAM)
  • Hands-on exposure to AI orchestration frameworks such as LangChain or LangGraph
  • Hands-on experience with GCP Vertex AI and integrating GenAI capabilities into applications
  • Experience designing RAG pipelines and agent orchestration layers connecting to enterprise data and APIs
  • Experience designing data platforms (data warehouses, data lakes) and streaming architectures (Kafka, Kinesis or equivalent)
  • Experience with containerization and orchestration using Docker and Kubernetes (EKS/GKE)
  • Experience producing IaC modules, microservice templates, and CI/CD pipeline patterns

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support A 401(k) with matching plus an additional company contribution, alongside an employee stock purchase plan and no‑cost financial planning, signals robust long‑term savings support. HSAs/FSAs and related financial tools further strengthen overall financial well‑being.
  • Leave & Time Off Breadth At least 25 days of PTO to start, options to buy or roll over time, and paid parental leave indicate broad time‑off support. Paid leave for organ and bone marrow donation and generous disability coverage extend protection for significant life events.
  • Healthcare Strength Multiple medical, dental, and vision options with the company covering most medical and dental premiums reflect strong core health coverage. Wellness programs, fitness reimbursements, well‑being credits, and accessible behavioral health services expand depth and accessibility.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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