Technical Architect - Platform

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Lead platform architecture for cloud-based solutions, design scalable secure AWS platforms and integrations, define IaC and CI/CD pipelines, implement IAM governance, observability, and automation, and provide technical leadership and stakeholder management.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Location : Bangalore / Mumbai / Trivandrum (Hybrid)

Experience : 7-10 Years 

Job Role - ATA / TA - Platform Engineering

At Quantiphi, you will be a key leader within our Platform Engineering team, responsible for defining and driving the architectural vision for cloud-based solutions. You will lead the design and implementation of robust pipeline infrastructure, orchestrating integration flows among upstream RPA processes, the AR tool backend, and downstream systems. You will work closely with stakeholders, cross-functional teams, and clients to ensure that solutions are scalable, secure, and aligned with business objectives.

Must have skills:

  • Strong expertise in designing and architecting scalable, secure, and highly available AWS platforms using services such as API Gateway, Lambda, EC2, ECS/EKS, VPC, IAM, S3, CloudWatch, CloudTrail, ECR, SNS, SQS, EventBridge, Systems Manager (SSM), KMS, and Secrets Manager.

  • Proven technical experience in designing and overseeing end-to-end platform integration architectures, orchestrating data and process flows between upstream systems, third-party applications (e.g., ERP systems such as BaaN, SAP, Oracle), internal services, and downstream consumer applications.

  • Strong expertise in API architecture, including RESTful APIs, API Gateway, authentication/authorization (OAuth, JWT, API Keys), API lifecycle management, integration patterns, and secure third-party connectivity.

  • Extensive experience designing AWS IAM security governance, including IAM Roles, Policies, Cross-Account Access, Permission Boundaries, Service Control Policies (SCPs), and enterprise identity and access management strategies.

  • Strong experience designing AWS infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation, or AWS CDK), with reusable platform modules, reference architectures, and standardized deployment frameworks.

  • Expertise in designing and implementing enterprise CI/CD and DevSecOps pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline, integrating automated testing, security scanning, and deployment governance.

  • Strong knowledge of enterprise networking, including VPC architecture, Transit Gateway, Direct Connect, VPN, Load Balancers, Route 53, DNS, PrivateLink, and hybrid connectivity.

  • Experience implementing enterprise monitoring and observability using Amazon CloudWatch, CloudTrail, dashboards, centralized logging, and alerting frameworks to ensure platform reliability and operational excellence.

  • Proficiency in automation using Python, Bash, PowerShell, and AWS SDK (Boto3) to streamline platform operations and deployments.

  • Excellent technical solution design, stakeholder management, technical leadership, documentation, and mentoring skills, with the ability to drive architecture reviews and establish engineering best practices.

Good to have skills:

  • Experience designing enterprise integration platforms using event-driven and microservices architectures.

  • Knowledge of AWS Organizations, Control Tower, Landing Zone, governance frameworks, and FinOps best practices.

  • Experience with container platforms such as Docker, Kubernetes, Amazon ECS/EKS, and service mesh technologies.

  • Familiarity with enterprise observability platforms such as Grafana, Prometheus, Datadog, Splunk, or OpenSearch.

  • Experience with enterprise messaging and integration technologies such as Kafka, Amazon MSK, MQ, or EventBridge.

  • Knowledge of disaster recovery, business continuity, and high-availability architecture.

  • AWS Certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Security Specialty, or Advanced Networking – Specialty.

  • Experience working in Agile, DevOps, and Platform Engineering environments.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Design and architect scalable, secure, highly available AWS platforms using API Gateway, Lambda, EC2, ECS/EKS, VPC, IAM, S3, CloudWatch, CloudTrail, ECR, SNS, SQS, EventBridge, SSM, KMS, Secrets Manager
  • Design and oversee end-to-end platform integration architectures with upstream systems, third-party ERPs (BaaN, SAP, Oracle), internal services, and downstream applications
  • API architecture expertise including RESTful APIs, API Gateway, OAuth, JWT, API Keys, API lifecycle management and secure third-party connectivity
  • AWS IAM security governance including Roles, Policies, Cross-Account Access, Permission Boundaries, Service Control Policies and enterprise identity strategies
  • Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK with reusable modules and standardized deployment frameworks
  • Design and implement enterprise CI/CD and DevSecOps pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline including automated testing and security scanning
  • Enterprise networking knowledge: VPC architecture, Transit Gateway, Direct Connect, VPN, Load Balancers, Route 53, DNS, PrivateLink and hybrid connectivity
  • Implement enterprise monitoring and observability using Amazon CloudWatch, CloudTrail, centralized logging, dashboards and alerting frameworks
  • Automation using Python, Bash, PowerShell and AWS SDK (Boto3) to streamline platform operations and deployments
  • Strong technical solution design, stakeholder management, technical leadership, documentation, and mentoring skills
  • Experience designing event-driven and microservices integration platforms, container platforms (Docker, Kubernetes, ECS/EKS), observability tools (Grafana, Prometheus, Datadog, Splunk, OpenSearch), messaging (Kafka, MSK, MQ) and DR/HA strategies
  • Familiarity with AWS Organizations, Control Tower, Landing Zone, governance frameworks, FinOps and relevant AWS certifications (Solutions Architect Professional, DevOps Pro, Security Specialty)
  • Experience working in Agile, DevOps, and Platform Engineering environments

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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