Software Engineer - Database Drivers and Data Integration
IBM
Software Engineer - Database Drivers and Data Integration
Job Description
Software Engineer - Database Drivers and Data Integration
📋 Job Overview
Join IBM as a Software Engineer focused on developing tools, drivers, and data integration products within the AstraDB, Apache Cassandra, and DataStax Enterprise ecosystem. You will work on a small team to create solutions that help developers deliver business value in high-scale applications, taking ownership of projects and assisting customers. This role offers opportunities for growth and innovation at the heart of IBM's technology landscape.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics)
- Integration work involving AstraDB, DSE, Apache Cassandra™, and other big data technologies, such as Apache Spark
- Resolve challenging and diverse customer issues
- Foster the development community surrounding both proprietary, and open source products
- As a team, own both development and quality aspects for all products
- Research and implement improvements of the product as well as the development infrastructure
- Maintain product documentation, white papers, and educational materials
- Write technical blog posts relating to our technologies
- Ongoing education around relevant technologies
✅ Required Qualifications
- 4+ years of experience in software engineering
- Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python
- Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products)
- Command of asynchronous and concurrent programming concepts
- Knowledge of high-performance, low-latency network programming
- Being comfortable working with and contributing to open-source projects
- Familiarity with creating and running containerized applications
- Experience with cloud environments for build and deployment
⭐ Preferred Qualifications
- Experience with large scale data processing pipelines, such as Apache Spark
- Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob)
- Effective technical experience with Git and GitHub
- Experience with Jenkins, GitHub Actions or other CI/CD systems
- Proven ability to collaborate well in a globally distributed team environment
🛠️ Required Skills
- Java
- Go
- Python
- DataStax Enterprise
- Apache Cassandra
- Amazon DynamoDB
- Azure CosmosDB
- Asynchronous programming
- Concurrent programming
- High-performance programming
- Low-latency network programming
- Open-source contribution
- Containerized applications
- Cloud environments
- Apache Spark
- Kubernetes
- AWS S3
- GCP GCS
- Azure Blob
- Git
- GitHub
- Jenkins
- GitHub Actions
- CI/CD systems
- Collaboration in globally distributed teams
🎁 Benefits & Perks
- Opportunities for learning and development
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Javaintermediate
- Gointermediate
- Pythonintermediate
- DataStax Enterpriseintermediate
- Apache Cassandraintermediate
- Amazon DynamoDBintermediate
- Azure CosmosDBintermediate
- Asynchronous programmingintermediate
- Concurrent programmingintermediate
- High-performance programmingintermediate
- Low-latency network programmingintermediate
- Open-source contributionintermediate
- Containerized applicationsintermediate
- Cloud environmentsintermediate
- Apache Sparkintermediate
- Kubernetesintermediate
- AWS S3intermediate
- GCP GCSintermediate
- Azure Blobintermediate
- Gitintermediate
- GitHubintermediate
- Jenkinsintermediate
- GitHub Actionsintermediate
- CI/CD systemsintermediate
- Collaboration in globally distributed teamsintermediate
Required Qualifications
- 4+ years of experience in software engineering (experience)
- Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python (experience)
- Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products) (experience)
- Command of asynchronous and concurrent programming concepts (experience)
- Knowledge of high-performance, low-latency network programming (experience)
- Being comfortable working with and contributing to open-source projects (experience)
- Familiarity with creating and running containerized applications (experience)
- Experience with cloud environments for build and deployment (experience)
Preferred Qualifications
- Experience with large scale data processing pipelines, such as Apache Spark (experience)
- Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob) (experience)
- Effective technical experience with Git and GitHub (experience)
- Experience with Jenkins, GitHub Actions or other CI/CD systems (experience)
- Proven ability to collaborate well in a globally distributed team environment (experience)
Responsibilities
- Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics)
- Integration work involving AstraDB, DSE, Apache Cassandra™, and other big data technologies, such as Apache Spark
- Resolve challenging and diverse customer issues
- Foster the development community surrounding both proprietary, and open source products
- As a team, own both development and quality aspects for all products
- Research and implement improvements of the product as well as the development infrastructure
- Maintain product documentation, white papers, and educational materials
- Write technical blog posts relating to our technologies
- Ongoing education around relevant technologies
Benefits
- general: Opportunities for learning and development
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer - Database Drivers and Data Integration @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Software Engineer - Database Drivers and Data Integration
IBM
Software Engineer - Database Drivers and Data Integration
Job Description
Software Engineer - Database Drivers and Data Integration
📋 Job Overview
Join IBM as a Software Engineer focused on developing tools, drivers, and data integration products within the AstraDB, Apache Cassandra, and DataStax Enterprise ecosystem. You will work on a small team to create solutions that help developers deliver business value in high-scale applications, taking ownership of projects and assisting customers. This role offers opportunities for growth and innovation at the heart of IBM's technology landscape.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics)
- Integration work involving AstraDB, DSE, Apache Cassandra™, and other big data technologies, such as Apache Spark
- Resolve challenging and diverse customer issues
- Foster the development community surrounding both proprietary, and open source products
- As a team, own both development and quality aspects for all products
- Research and implement improvements of the product as well as the development infrastructure
- Maintain product documentation, white papers, and educational materials
- Write technical blog posts relating to our technologies
- Ongoing education around relevant technologies
✅ Required Qualifications
- 4+ years of experience in software engineering
- Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python
- Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products)
- Command of asynchronous and concurrent programming concepts
- Knowledge of high-performance, low-latency network programming
- Being comfortable working with and contributing to open-source projects
- Familiarity with creating and running containerized applications
- Experience with cloud environments for build and deployment
⭐ Preferred Qualifications
- Experience with large scale data processing pipelines, such as Apache Spark
- Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob)
- Effective technical experience with Git and GitHub
- Experience with Jenkins, GitHub Actions or other CI/CD systems
- Proven ability to collaborate well in a globally distributed team environment
🛠️ Required Skills
- Java
- Go
- Python
- DataStax Enterprise
- Apache Cassandra
- Amazon DynamoDB
- Azure CosmosDB
- Asynchronous programming
- Concurrent programming
- High-performance programming
- Low-latency network programming
- Open-source contribution
- Containerized applications
- Cloud environments
- Apache Spark
- Kubernetes
- AWS S3
- GCP GCS
- Azure Blob
- Git
- GitHub
- Jenkins
- GitHub Actions
- CI/CD systems
- Collaboration in globally distributed teams
🎁 Benefits & Perks
- Opportunities for learning and development
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to collaborate and drive exceptional outcomes for customers
Locations
- BANGALORE, IN, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Javaintermediate
- Gointermediate
- Pythonintermediate
- DataStax Enterpriseintermediate
- Apache Cassandraintermediate
- Amazon DynamoDBintermediate
- Azure CosmosDBintermediate
- Asynchronous programmingintermediate
- Concurrent programmingintermediate
- High-performance programmingintermediate
- Low-latency network programmingintermediate
- Open-source contributionintermediate
- Containerized applicationsintermediate
- Cloud environmentsintermediate
- Apache Sparkintermediate
- Kubernetesintermediate
- AWS S3intermediate
- GCP GCSintermediate
- Azure Blobintermediate
- Gitintermediate
- GitHubintermediate
- Jenkinsintermediate
- GitHub Actionsintermediate
- CI/CD systemsintermediate
- Collaboration in globally distributed teamsintermediate
Required Qualifications
- 4+ years of experience in software engineering (experience)
- Deep Expertise in at least one of the high-level, multi-paradigm languages with a preference for Java, Go, and/or Python (experience)
- Experience with any distributed database (such as DataStax Enterprise, Apache Cassandra, Amazon DynamoDB, Azure CosmosDB, or other cloud native database products) (experience)
- Command of asynchronous and concurrent programming concepts (experience)
- Knowledge of high-performance, low-latency network programming (experience)
- Being comfortable working with and contributing to open-source projects (experience)
- Familiarity with creating and running containerized applications (experience)
- Experience with cloud environments for build and deployment (experience)
Preferred Qualifications
- Experience with large scale data processing pipelines, such as Apache Spark (experience)
- Familiarity with cloud-native technologies (e.g. Kubernetes) and object storage systems (e.g., AWS S3, GCP GCS, Azure Blob) (experience)
- Effective technical experience with Git and GitHub (experience)
- Experience with Jenkins, GitHub Actions or other CI/CD systems (experience)
- Proven ability to collaborate well in a globally distributed team environment (experience)
Responsibilities
- Participate in design and development of connectivity and data integration projects, including CQL drivers and analytics libraries for data pipelines (such as Cassandra Analytics)
- Integration work involving AstraDB, DSE, Apache Cassandra™, and other big data technologies, such as Apache Spark
- Resolve challenging and diverse customer issues
- Foster the development community surrounding both proprietary, and open source products
- As a team, own both development and quality aspects for all products
- Research and implement improvements of the product as well as the development infrastructure
- Maintain product documentation, white papers, and educational materials
- Write technical blog posts relating to our technologies
- Ongoing education around relevant technologies
Benefits
- general: Opportunities for learning and development
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to collaborate and drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer - Database Drivers and Data Integration @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs