Senior Software Developer
IBM
Senior Software Developer
Job Description
Senior Software Developer
📋 Job Overview
Join IBM Software as a Senior Software Developer to develop and maintain high-quality software products using various technologies and programming languages. Focus on enhancing database server internals, optimizing SQL queries, and contributing to open-source ecosystems like Apache Spark. Collaborate with cross-functional teams to drive innovation and growth within IBM's renowned technology landscape.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, develop, and enhance components related to database server internals, including storage, indexing, query execution, and transaction processing
- Implement and refine query planners, optimizers, and execution engines with a focus on performance and scalability
- Analyze and optimize complex SQL and distributed queries, ensuring minimal latency and resource efficiency
- Contribute to Apache Spark or related open-source ecosystems, including performance improvements, extensions, and debugging
- Build and maintain large-scale distributed data processing pipelines
- Perform deep query analysis, profiling, troubleshooting, and root cause investigation for performance bottlenecks
- Design cloud-native microservices using Kubernetes and Docker
- Troubleshoot and debug production issues using advanced Linux debugging tools, logs, and metrics
- Collaborate with cross-functional engineering teams to define technical strategies and architectural improvements
- Mentor junior developers, conduct code reviews, and contribute to development best practices
✅ Required Qualifications
- 9+ years of professional software development experience
- Hands-on experience with query optimization and SQL performance tuning
- Proven contributions to Spark open-source, or strong experience working with Spark internals
- Strong proficiency in Scala and/or Java, with deep understanding of concurrency, memory management, and functional programming concepts
- Solid experience with Kubernetes (K8s) and Docker for container orchestration and deployment
- Strong Linux fundamentals and hands-on experience
- Deep knowledge of distributed system design (networking, partitioning, replication, fault tolerance)
- Experience with CI/CD pipelines and version control (Git)
- Experience contributing to large-scale open-source projects (Apache Spark, Presto, Trino, etc.)
- Familiarity with columnar formats (Parquet, ORC) and vectorized execution engines
- Knowledge of JVM performance tuning and GC optimization
- Exposure to big data query engines or OLAP systems
- Master's or PhD in Computer Science or equivalent experience in systems programming
🛠️ Required Skills
- Query optimization
- SQL performance tuning
- Spark
- Scala
- Java
- Concurrency
- Memory management
- Functional programming
- Kubernetes
- Docker
- Linux
- Distributed system design
- Networking
- Partitioning
- Replication
- Fault tolerance
- CI/CD pipelines
- Version control
- Git
- Columnar formats
- Parquet
- ORC
- Vectorized execution engines
- JVM performance tuning
- GC optimization
- Big data query engines
- OLAP systems
- Mentoring
- Code reviews
- Development best practices
- Collaboration
- Technical strategy
- Architectural improvements
🎁 Benefits & Perks
- Opportunity to learn and develop career
- 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
- Equal-opportunity employment
- Commitment to fair employment practices
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
- Query optimizationintermediate
- SQL performance tuningintermediate
- Sparkintermediate
- Scalaintermediate
- Javaintermediate
- Concurrencyintermediate
- Memory managementintermediate
- Functional programmingintermediate
- Kubernetesintermediate
- Dockerintermediate
- Linuxintermediate
- Distributed system designintermediate
- Networkingintermediate
- Partitioningintermediate
- Replicationintermediate
- Fault toleranceintermediate
- CI/CD pipelinesintermediate
- Version controlintermediate
- Gitintermediate
- Columnar formatsintermediate
- Parquetintermediate
- ORCintermediate
- Vectorized execution enginesintermediate
- JVM performance tuningintermediate
- GC optimizationintermediate
- Big data query enginesintermediate
- OLAP systemsintermediate
- Mentoringintermediate
- Code reviewsintermediate
- Development best practicesintermediate
- Collaborationintermediate
- Technical strategyintermediate
- Architectural improvementsintermediate
Required Qualifications
- 9+ years of professional software development experience (experience)
- Hands-on experience with query optimization and SQL performance tuning (experience)
- Proven contributions to Spark open-source, or strong experience working with Spark internals (experience)
- Strong proficiency in Scala and/or Java, with deep understanding of concurrency, memory management, and functional programming concepts (experience)
- Solid experience with Kubernetes (K8s) and Docker for container orchestration and deployment (experience)
- Strong Linux fundamentals and hands-on experience (experience)
- Deep knowledge of distributed system design (networking, partitioning, replication, fault tolerance) (experience)
- Experience with CI/CD pipelines and version control (Git) (experience)
- Experience contributing to large-scale open-source projects (Apache Spark, Presto, Trino, etc.) (experience)
- Familiarity with columnar formats (Parquet, ORC) and vectorized execution engines (experience)
- Knowledge of JVM performance tuning and GC optimization (experience)
- Exposure to big data query engines or OLAP systems (experience)
- Master's or PhD in Computer Science or equivalent experience in systems programming (experience)
Responsibilities
- Design, develop, and enhance components related to database server internals, including storage, indexing, query execution, and transaction processing
- Implement and refine query planners, optimizers, and execution engines with a focus on performance and scalability
- Analyze and optimize complex SQL and distributed queries, ensuring minimal latency and resource efficiency
- Contribute to Apache Spark or related open-source ecosystems, including performance improvements, extensions, and debugging
- Build and maintain large-scale distributed data processing pipelines
- Perform deep query analysis, profiling, troubleshooting, and root cause investigation for performance bottlenecks
- Design cloud-native microservices using Kubernetes and Docker
- Troubleshoot and debug production issues using advanced Linux debugging tools, logs, and metrics
- Collaborate with cross-functional engineering teams to define technical strategies and architectural improvements
- Mentor junior developers, conduct code reviews, and contribute to development best practices
Benefits
- general: Opportunity to learn and develop career
- 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
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
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Senior Software Developer
IBM
Senior Software Developer
Job Description
Senior Software Developer
📋 Job Overview
Join IBM Software as a Senior Software Developer to develop and maintain high-quality software products using various technologies and programming languages. Focus on enhancing database server internals, optimizing SQL queries, and contributing to open-source ecosystems like Apache Spark. Collaborate with cross-functional teams to drive innovation and growth within IBM's renowned technology landscape.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design, develop, and enhance components related to database server internals, including storage, indexing, query execution, and transaction processing
- Implement and refine query planners, optimizers, and execution engines with a focus on performance and scalability
- Analyze and optimize complex SQL and distributed queries, ensuring minimal latency and resource efficiency
- Contribute to Apache Spark or related open-source ecosystems, including performance improvements, extensions, and debugging
- Build and maintain large-scale distributed data processing pipelines
- Perform deep query analysis, profiling, troubleshooting, and root cause investigation for performance bottlenecks
- Design cloud-native microservices using Kubernetes and Docker
- Troubleshoot and debug production issues using advanced Linux debugging tools, logs, and metrics
- Collaborate with cross-functional engineering teams to define technical strategies and architectural improvements
- Mentor junior developers, conduct code reviews, and contribute to development best practices
✅ Required Qualifications
- 9+ years of professional software development experience
- Hands-on experience with query optimization and SQL performance tuning
- Proven contributions to Spark open-source, or strong experience working with Spark internals
- Strong proficiency in Scala and/or Java, with deep understanding of concurrency, memory management, and functional programming concepts
- Solid experience with Kubernetes (K8s) and Docker for container orchestration and deployment
- Strong Linux fundamentals and hands-on experience
- Deep knowledge of distributed system design (networking, partitioning, replication, fault tolerance)
- Experience with CI/CD pipelines and version control (Git)
- Experience contributing to large-scale open-source projects (Apache Spark, Presto, Trino, etc.)
- Familiarity with columnar formats (Parquet, ORC) and vectorized execution engines
- Knowledge of JVM performance tuning and GC optimization
- Exposure to big data query engines or OLAP systems
- Master's or PhD in Computer Science or equivalent experience in systems programming
🛠️ Required Skills
- Query optimization
- SQL performance tuning
- Spark
- Scala
- Java
- Concurrency
- Memory management
- Functional programming
- Kubernetes
- Docker
- Linux
- Distributed system design
- Networking
- Partitioning
- Replication
- Fault tolerance
- CI/CD pipelines
- Version control
- Git
- Columnar formats
- Parquet
- ORC
- Vectorized execution engines
- JVM performance tuning
- GC optimization
- Big data query engines
- OLAP systems
- Mentoring
- Code reviews
- Development best practices
- Collaboration
- Technical strategy
- Architectural improvements
🎁 Benefits & Perks
- Opportunity to learn and develop career
- 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
- Equal-opportunity employment
- Commitment to fair employment practices
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
- Query optimizationintermediate
- SQL performance tuningintermediate
- Sparkintermediate
- Scalaintermediate
- Javaintermediate
- Concurrencyintermediate
- Memory managementintermediate
- Functional programmingintermediate
- Kubernetesintermediate
- Dockerintermediate
- Linuxintermediate
- Distributed system designintermediate
- Networkingintermediate
- Partitioningintermediate
- Replicationintermediate
- Fault toleranceintermediate
- CI/CD pipelinesintermediate
- Version controlintermediate
- Gitintermediate
- Columnar formatsintermediate
- Parquetintermediate
- ORCintermediate
- Vectorized execution enginesintermediate
- JVM performance tuningintermediate
- GC optimizationintermediate
- Big data query enginesintermediate
- OLAP systemsintermediate
- Mentoringintermediate
- Code reviewsintermediate
- Development best practicesintermediate
- Collaborationintermediate
- Technical strategyintermediate
- Architectural improvementsintermediate
Required Qualifications
- 9+ years of professional software development experience (experience)
- Hands-on experience with query optimization and SQL performance tuning (experience)
- Proven contributions to Spark open-source, or strong experience working with Spark internals (experience)
- Strong proficiency in Scala and/or Java, with deep understanding of concurrency, memory management, and functional programming concepts (experience)
- Solid experience with Kubernetes (K8s) and Docker for container orchestration and deployment (experience)
- Strong Linux fundamentals and hands-on experience (experience)
- Deep knowledge of distributed system design (networking, partitioning, replication, fault tolerance) (experience)
- Experience with CI/CD pipelines and version control (Git) (experience)
- Experience contributing to large-scale open-source projects (Apache Spark, Presto, Trino, etc.) (experience)
- Familiarity with columnar formats (Parquet, ORC) and vectorized execution engines (experience)
- Knowledge of JVM performance tuning and GC optimization (experience)
- Exposure to big data query engines or OLAP systems (experience)
- Master's or PhD in Computer Science or equivalent experience in systems programming (experience)
Responsibilities
- Design, develop, and enhance components related to database server internals, including storage, indexing, query execution, and transaction processing
- Implement and refine query planners, optimizers, and execution engines with a focus on performance and scalability
- Analyze and optimize complex SQL and distributed queries, ensuring minimal latency and resource efficiency
- Contribute to Apache Spark or related open-source ecosystems, including performance improvements, extensions, and debugging
- Build and maintain large-scale distributed data processing pipelines
- Perform deep query analysis, profiling, troubleshooting, and root cause investigation for performance bottlenecks
- Design cloud-native microservices using Kubernetes and Docker
- Troubleshoot and debug production issues using advanced Linux debugging tools, logs, and metrics
- Collaborate with cross-functional engineering teams to define technical strategies and architectural improvements
- Mentor junior developers, conduct code reviews, and contribute to development best practices
Benefits
- general: Opportunity to learn and develop career
- 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
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Developer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs