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PLEASE READ BEFORE APPLY:
- WE WILL ONLY CONSIDER CANDIDATES COMING FROM B2B SAAS OR CONSUMER INTERNET COMPANIES (THINK SIMILAR TO SALESFORCE, WORKDAY, INTUIT, ATLASSIAN, WALMART, AMAZON)
- WE WILL NOT CONSIDER ANY EXPERIENCE FROM IT OR DIGITAL TRANSFORMATION CONSULTANCIES (EXAMPLES OF THE WRONG COMPANIES WOULD BE TATA, INFOSYS, COGNIZANT, IBM GLOBAL SERVICES)
- THIS IS A HYBRID ROLE 3-DAYS A WEEK, NO REMOTE AT THIS TIME
- WE WILL NOT CONSIDER ANY EXPERIENCE FROM IT OR DIGITAL TRANSFORMATION CONSULTANCIES (EXAMPLES OF THE WRONG COMPANIES WOULD BE TATA, INFOSYS, COGNIZANT, IBM GLOBAL SERVICES)
We are disrupting the supply chain planning industry with our AI-driven demand planning and inventory replenishment software. The total addressable market (TAM) for supply chain management (SCM) software is substantial and growing rapidly. In 2023, the global SCM software market was valued at approximately $28.9 billion and is projected to reach $45.2 billion by 2027, reflecting a compound annual growth rate (CAGR) of around 9.4% during the forecast period.
We specifically target the rapidly growing segment of the supply chain management (SCM) industry: small and medium-sized businesses (SMBs). This focus has become even more pertinent in light of the supply chain disruptions caused by COVID-19. SMBs now have access to technological advantages previously exclusive to large enterprise companies like Walmart, Amazon, Lowe's, and Home Depot, who have invested hundreds of millions into these technologies.
In this role, you will be responsible for designing, implementing, and deploying the next-generation platform tightly integrated with Amazon AWS services such as EMR, Athena, Glue, and Spark. You will develop an ultra-real-time, AI-driven demand planning engine to help our client serve industries that manage perishable items, including food manufacturing, restaurants, grocery stores, pharmaceuticals, and more.
If you are passionate about leveraging machine learning and AI technologies to solve complex supply chain challenges, this is the perfect opportunity for you.
Fast Facts About Our Company:
- Employee Count: 500+, 58 in Engineering (6 in the US and 52 in Pune India)
- Customer Count: 200+
- Revenue: $25.0M in ARR (and growing fast)
- Profitable: Yes
- Revenue: $25.0M in ARR (and growing fast)
- Customer Count: 200+
Job Description:
As a Cloud Architect, you will play a critical role in designing, implementing, and maintaining our next-generation, cloud-native data platform on AWS. You'll collaborate closely with the Cloud Engineering Architect, DevOps, Data Engineering, and Security teams to ensure scalable, secure, and high-performing cloud infrastructure that supports our rapidly evolving data needs and application ecosystem.
Job Responsibilities
- Implement and maintain cloud infrastructure using infrastructure-as-code principles.
- Develop and maintain CI/CD pipelines for automated testing and deployment.
- Monitor and optimize cloud resource utilization, performance, and costs.
- Implement security best practices and ensure compliance with industry standards.
- Troubleshoot and resolve cloud infrastructure issues.
- Collaborate with cross-functional teams to support application deployment and operations in the cloud.
- Participate in on-call rotations to support production systems.
- Stay up to date with emerging cloud technologies and contribute to the team's knowledge base.
- Participate in on-call rotations to support production systems.
- Collaborate with cross-functional teams to support application deployment and operations in the cloud.
- Troubleshoot and resolve cloud infrastructure issues.
- Implement security best practices and ensure compliance with industry standards.
- Monitor and optimize cloud resource utilization, performance, and costs.
- Develop and maintain CI/CD pipelines for automated testing and deployment.
Job Experience
- 8+ years of experience in cloud engineering or SRE roles.
- Strong proficiency in at least one major cloud platform (AWS, Azure, or GCP).
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Ansible).
- Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
- Knowledge of scripting languages (e.g., Python, Bash) and version control systems (e.g., Git).
- Understanding of networking concepts and security best practices in cloud environments.
- Experience with monitoring and logging tools for cloud infrastructure.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Experience with monitoring and logging tools for cloud infrastructure.
- Understanding of networking concepts and security best practices in cloud environments.
- Knowledge of scripting languages (e.g., Python, Bash) and version control systems (e.g., Git).
- Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Ansible).
- Strong proficiency in at least one major cloud platform (AWS, Azure, or GCP).
Required Experience
MUST HAVE:
- CI/CD (Good experience with GitHub actions and other industry standard tools)
- Strong background in Linux/Windows environments.
- Hands-on experience in designing and deploying cloud solutions, AWS is preferable.
- Proficient with Docker Containerisation.
- Deep understanding of microservices architecture and deployment strategies.
- Experience with APU, RUM, and full-stack monitoring solutions -Open Telemetry, Datadog, etc.
- Strong knowledge of Cloud security principles.
- Proficient with Docker Containerisation.
- Hands-on experience in designing and deploying cloud solutions, AWS is preferable.
- Strong background in Linux/Windows environments.
• Preferred- Experience with Databricks, ETL Tools, Python, and NoSQL.
PREFERRED SKILLS:
- Cloud platform certifications (e.g., AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Engineer).
- Experience with distributed computing systems and big data technologies.
- Knowledge of database management systems, both relational and NoSQL.
- Familiarity with agile development methodologies.
- Experience with performance tuning and optimization of cloud resources.
- Familiarity with agile development methodologies.
- Knowledge of database management systems, both relational and NoSQL.
- Experience with distributed computing systems and big data technologies.
Required Education
- Bachelor's or Master's degree in Data Science, Computer Science, Operations Research, Statistics, or a related field.