About US :

We turn customer challenges into growth opportunities. Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Role : Platform Architect

Experience : 10+ Years

We are seeking an experienced Platform DevOps Architect to design and implement scalable, resilient, and automated platform solutions that power our microservices and cloud-native applications. The ideal candidate will have deep expertise in Kubernetes, Terraform, AWS, and CI/CD automation, with a strong foundation in infrastructure design, system reliability, and DevOps best practices.

This role requires a strategic thinker with strong technical leadership skills who can define architecture standards, drive DevOps best practices, and ensure robust infrastructure across development, testing, and production environments.

Key Responsibilities :

- Architect and evolve the core DevOps platform to support scalable microservices-based applications across multiple environments.

- Design and implement cloud-native infrastructure using AWS and Infrastructure as Code (IaC) with Terraform.

- Build and maintain enterprise-grade CI/CD pipelines enabling automated builds, testing, and deployments across environments.

- Define Kubernetes standards and manage container orchestration platforms for high availability, resilience, and performance.

- Collaborate with engineering teams to optimize deployment processes, improve developer productivity, and enforce operational excellence.

- Drive observability practices through the integration of monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, ELK, Datadog, Dynatrace, Splunk).

- Establish platform security, compliance, and governance standards aligned with organizational policies.

- Lead initiatives for cost optimization, infrastructure scalability, and performance tuning across cloud environments.

- Provide technical leadership, mentorship, and guidance to DevOps and platform engineering teams.

- Stay ahead of emerging technologies to continuously evolve the platform architecture and DevOps ecosystem.

- Serve as backups for the SRE engineers in case of ad-hoc unavailability and respond to incidents and support activities.

Must-Have Skills :

- Strong working knowledge of AWS services including Lambda, Glue, API Gateway, S3, EKS (Kubernetes), and Terraform.

- Proven experience with Terraform for implementing and managing Infrastructure as Code (IaC) in cloud environments.

- Expertise in CI/CD tools such as GitHub Actions, Jenkins, or equivalent automation frameworks.

- Hands-on experience with Kubernetes for container orchestration, deployment, and scaling of microservices.

- Deep understanding of microservices architecture and best practices for cloud-native deployments.

- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch, Dynatrace).

- Proficiency in scripting and automation using Python, Bash, or Go.

- Strong background in system design, performance optimization, and troubleshooting complex distributed systems.

- Experience managing Dev, UAT, and Production environments, including release management and deployment pipelines.

- Solid grasp of cloud security, access management, and best practices for vulnerability management.
- Agile and DevOps-friendly mindset, with a focus on collaboration, automation, and continuous improvement.

Good to Have :

- Experience with multi-cloud or hybrid-cloud environments (e.g., AWS, Azure, or GCP)

- Understanding of event-driven or serverless architectures leveraging AWS services like SNS, SQS, or EventBridge

- Experience with infrastructure monitoring, cost optimization, and capacity planning in large-scale environments.

- Familiarity with data integration and ETL pipeline orchestration (e.g., AWS Glue, Airflow).

- GenAI implementations with RAG

- Have US B1/B2 Visa