
- Desire to explore new technology and break new ground.
- Are passionate about Open Source technology, continuous learning, and innovation.
- Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.
Qualifications
- Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
- You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
- Participate in code reviews and provide meaningful feedback to other team members.
- Create technical documentation.
- Develop thorough Unit Tests to ensure code quality.
Skills and Experience
- Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
- Experience with event-driven architecture design patterns and practices
- Experience in database design and architecture principles and strong SQL abilities
- Message brokers like Kafka and Kinesis
- Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
- Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
- Good understanding of distributed systems.
- Candidates will be self-motivated and display initiative, ownership, and flexibility.
Preferred Qualifications
- AWS Lambda function development experience with Java and/or Python.
- Lambda triggers such as SNS, SES, or cron.
- Databricks
- Cloud development experience with AWS services, including:
- IAM
- S3
- EC2
- AWS CLI
- API Gateway
- ECR
- CloudWatch
- Glue
- Kinesis
- DynamoDB
- Java 8 or higher
- ETL data pipeline building
- Data Lake Experience
- Python
- Docker
- MongoDB or similar NoSQL DB.
- Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
- Gradle and/or Maven.
- JUnit
- Git
- Scrum
- Experience with Unix and/or macOS.
- Immediate Joiners
Nice to have:
- AWS / GCP / Azure Certification.
- Cloud development experience with Google Cloud or Azure

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