AWS Cloud Engineer at WellnessLiving

Title: AWS Cloud Engineer

Location: Bangalore, India *Hybrid

About Us: 

At WellnessLiving, we empower thousands of health and wellness business owners to turn their entrepreneurial dreams into reality. Our mission-critical software fuels their vision, supporting millions of clients around the world in their wellness journeys. With a deep commitment to putting our customers first, we foster a culture that values high performance, adaptability, and accountability. If you are a skilled professional who thrives in a fast-paced, customer-focused environment and are passionate about making a meaningful impact on the health and wellness industry, we would love to connect with you.  

About You: 

We are a growing team of bright, ambitious individuals seeking like-minded candidates to help take our brand to the next level! We’re looking for someone with a strong understanding of emerging technologies, platforms, products, and applications and the ability to customize them to enhance the security and efficiency of our products and platform.

Our ideal candidate for this role should demonstrate the following qualifications and traits:

• Teamwork and Collaboration — Easy to talk to, very approachable, empathetic, patient, puts others at ease, and can work well with others.   
• Critical Thinking and Problem-Solving — The ability to analyze, evaluate, and strategize the best solutions when making decisions or faced with challenging situations.   
• Strong Work Ethic — Hardworking, dedicated, reliable, and highly motivated with the desire and determination to exceed expectations.   
• Natural Leadership Skills — Oversees processes, guides initiatives, holds themselves accountable, listens without judgment, and inspires and nurtures the growth of others to do their best work.   
• Entrepreneurial Spirit and Business Mindset — Embraces innovation and continuous improvement, actively seeks out change, and is knowledgeable of current industry trends, practices, and technology.   
• Time Management — Uses time efficiently, focuses on top priorities, respects the time of others, and can take ownership of tasks and projects to push them along.

Responsibilities:  

• Develop and implement AWS-based technical solutions for large-scale data processing, intensive statistical modeling, and advanced analytics. Design scalable, secure, and highly available architecture tailored to project needs.
• Participate in planning, requirements gathering, design, development, testing, and quality assurance of AWS solutions. Apply agile methodologies to deliver reliable cloud-native applications efficiently.
• Architect and deploy serverless solutions using AWS services like AWS Lambda, API Gateway, DynamoDB, Step Functions, EventBridge, SQS, and SNS. Ensure applications are optimized for performance and cost-efficiency.
• Use tools like AWS CloudFormation and Terraform to define, deploy, and manage cloud infrastructure. Implement best practices for version control, reusability, and infrastructure scaling.
•  Use AWS Glue for data transformations, schema discovery, and ETL operations. Manage real-time data streams with Amazon Kinesis or Amazon Managed Streaming for Apache Kafka (MSK), and deploy EKS for container orchestration.
• Utilize AWS Database Migration Service (DMS) to transfer data from on-premises databases to AWS or migrate data between AWS databases. Ensure optimal performance and data integrity.
• Automate deployment pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. Implement continuous integration and continuous deployment (CI/CD) practices to accelerate software delivery.
• Implement security best practices with AWS Identity and Access Management (IAM), virtual private cloud (VPC) design, encryption, and compliance standards. Conduct regular security assessments and audits.
• Set up monitoring, logging, and alerting using AWS CloudWatch, AWS X-Ray, and other observability tools. Quickly diagnose and resolve issues, perform root cause analysis, and document solutions.
•  Proactively troubleshoot and resolve infrastructure incidents, implementing preventive measures to improve system reliability and availability.
• Educate and mentor teams on cloud adoption, AWS services, and best practices. Provide training sessions to ensure knowledge transfer and promote a cloud-first culture.
• Ensure AWS resources adhere to governance policies. Optimize costs and enforce security and operational standards across accounts.
• Build scalable and highly available solutions using AWS services such as EC2, RDS, and S3. For seamless scaling, consider microservices architecture using ECS, AWS Fargate, and AWS Lambda.
• Develop robust disaster recovery strategies using AWS Backup, cross-region replication, and snapshot management. Test and validate recovery procedures regularly.
• Integrate DevOps practices by leveraging AWS services. Continuously improve deployment speed, application performance, and resource efficiency.

Skills & Qualifications: 

• 8+ years of hands-on experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms.
• Bachelor’s degree (or equivalent) in Computer Science, Information Technology, Mathematics, or a related field.
• AWS Certification(s), such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or relevant specialty certifications.
• Strong understanding of and experience applying the five pillars of the AWS Well-Architected Framework (operational excellence, security, reliability, performance efficiency, and cost optimization).
• In-depth knowledge and proven experience with web services, APIs, RESTful architectures, and application integration.
• Familiarity with Service-Oriented Architecture (SOA), microservices, and modern database architectures is a vital asset. Knowledge of machine learning and advanced analytics is also a vital asset.
• Demonstrated experience with AWS serverless services, such as API Gateway, EventBridge, Step Functions, SQS, SNS, AWS Lambda, and serverless data storage options like DynamoDB.
• Proven ability to work collaboratively with cross-functional teams, including business analysts, software developers, product managers, data scientists, and subject-matter experts.
• Proven track record of optimizing AWS resources for cost-efficiency and performance, including appropriate instance selection, auto-scaling, and efficient usage of storage and compute services.
• Exceptional problem-solving skills, with the ability to identify and resolve issues proactively to maintain business productivity.
• Candidates should have direct experience with data modeling and be familiar with building or managing data lakes and data warehouses. Experience with services like AWS Lake Formation, Redshift, or Athena is an added advantage.