OpenSearch Engineer
IBM
OpenSearch Engineer
Job Description
OpenSearch Engineer
📋 Job Overview
Join IBM as an OpenSearch Engineer to enhance our AI PaaS with OpenSearch capabilities on both cloud and on-premises platforms. You will develop new features, integrate OpenSearch with Apache Cassandra, and contribute to open source projects. This role offers growth opportunities within IBM's innovative software environment.
📍 Location: San Jose, US (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
- Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra
- Collaborate extensively with internal teams and open source communities to innovate at speed
- Model solid engineering practices around architectural design, testability, scalability and maintainability
- Foster community growth through involvement in the Open Search community
✅ Required Qualifications
- 1-3 years of relevant industry experience in Software Engineering
- Ability to iterate fast and make a tradeoff between quality and speed of delivery
- Substantial experience programming distributed and high throughput applications
- A deep knowledge of Java and JVM ecosystem of open source libraries and projects
- Deep understanding of algorithms, data structures and software design
- Strong coding skills with Java
- Comfortable handling problems related to concurrency and distributed computing
- Experience with at least one major public cloud provider
⭐ Preferred Qualifications
- Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch
- Experience with Go, Docker, and Kubernetes
🛠️ Required Skills
- Java
- JVM ecosystem
- Algorithms
- Data structures
- Software design
- Python
- Golang
- Concurrency
- Distributed computing
- Public cloud providers
- OpenSearch
- ElasticSearch
- Go
- Docker
- Kubernetes
- Apache Cassandra
- Langflow
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- 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
- San Jose, US, 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
- JVM ecosystemintermediate
- Algorithmsintermediate
- Data structuresintermediate
- Software designintermediate
- Pythonintermediate
- Golangintermediate
- Concurrencyintermediate
- Distributed computingintermediate
- Public cloud providersintermediate
- OpenSearchintermediate
- ElasticSearchintermediate
- Gointermediate
- Dockerintermediate
- Kubernetesintermediate
- Apache Cassandraintermediate
- Langflowintermediate
Required Qualifications
- 1-3 years of relevant industry experience in Software Engineering (experience)
- Ability to iterate fast and make a tradeoff between quality and speed of delivery (experience)
- Substantial experience programming distributed and high throughput applications (experience)
- A deep knowledge of Java and JVM ecosystem of open source libraries and projects (experience)
- Deep understanding of algorithms, data structures and software design (experience)
- Strong coding skills with Java (experience)
- Comfortable handling problems related to concurrency and distributed computing (experience)
- Experience with at least one major public cloud provider (experience)
Preferred Qualifications
- Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch (experience)
- Experience with Go, Docker, and Kubernetes (experience)
Responsibilities
- Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
- Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra
- Collaborate extensively with internal teams and open source communities to innovate at speed
- Model solid engineering practices around architectural design, testability, scalability and maintainability
- Foster community growth through involvement in the Open Search community
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- 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 OpenSearch Engineer @ IBM.
10 Questions
~2 Minutes
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OpenSearch Engineer
IBM
OpenSearch Engineer
Job Description
OpenSearch Engineer
📋 Job Overview
Join IBM as an OpenSearch Engineer to enhance our AI PaaS with OpenSearch capabilities on both cloud and on-premises platforms. You will develop new features, integrate OpenSearch with Apache Cassandra, and contribute to open source projects. This role offers growth opportunities within IBM's innovative software environment.
📍 Location: San Jose, US (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
- Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra
- Collaborate extensively with internal teams and open source communities to innovate at speed
- Model solid engineering practices around architectural design, testability, scalability and maintainability
- Foster community growth through involvement in the Open Search community
✅ Required Qualifications
- 1-3 years of relevant industry experience in Software Engineering
- Ability to iterate fast and make a tradeoff between quality and speed of delivery
- Substantial experience programming distributed and high throughput applications
- A deep knowledge of Java and JVM ecosystem of open source libraries and projects
- Deep understanding of algorithms, data structures and software design
- Strong coding skills with Java
- Comfortable handling problems related to concurrency and distributed computing
- Experience with at least one major public cloud provider
⭐ Preferred Qualifications
- Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch
- Experience with Go, Docker, and Kubernetes
🛠️ Required Skills
- Java
- JVM ecosystem
- Algorithms
- Data structures
- Software design
- Python
- Golang
- Concurrency
- Distributed computing
- Public cloud providers
- OpenSearch
- ElasticSearch
- Go
- Docker
- Kubernetes
- Apache Cassandra
- Langflow
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- 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
- San Jose, US, 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
- JVM ecosystemintermediate
- Algorithmsintermediate
- Data structuresintermediate
- Software designintermediate
- Pythonintermediate
- Golangintermediate
- Concurrencyintermediate
- Distributed computingintermediate
- Public cloud providersintermediate
- OpenSearchintermediate
- ElasticSearchintermediate
- Gointermediate
- Dockerintermediate
- Kubernetesintermediate
- Apache Cassandraintermediate
- Langflowintermediate
Required Qualifications
- 1-3 years of relevant industry experience in Software Engineering (experience)
- Ability to iterate fast and make a tradeoff between quality and speed of delivery (experience)
- Substantial experience programming distributed and high throughput applications (experience)
- A deep knowledge of Java and JVM ecosystem of open source libraries and projects (experience)
- Deep understanding of algorithms, data structures and software design (experience)
- Strong coding skills with Java (experience)
- Comfortable handling problems related to concurrency and distributed computing (experience)
- Experience with at least one major public cloud provider (experience)
Preferred Qualifications
- Prior experience contributing to open source projects including but not limited to Open Search and ElasticSearch (experience)
- Experience with Go, Docker, and Kubernetes (experience)
Responsibilities
- Develop new features, enhancements, and bug-fixes on DataStax AI PaaS, powered by Open Search, Apache Cassandra and Langflow
- Find innovative ways to do a bi-directional integration between Open Search and Apache Cassandra
- Collaborate extensively with internal teams and open source communities to innovate at speed
- Model solid engineering practices around architectural design, testability, scalability and maintainability
- Foster community growth through involvement in the Open Search community
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- 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 OpenSearch Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs