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Database Kernel Jobs (NOW HIRING)

Oracle DBA

Dallas, TX · On-site

$50.25 - $68.25/hr

Should have good knowledge on Oracle Kernel Parameters tuning * Excellent hands on experience on performance analysis and tuning. * Managing the Database Performance using (AWR, ADDM). * Hands on ...

RHEL/CentOS/Ubuntu, filesystem tuning, kernel parameters • Highly Available Systems: Proven track record with high-performance, 24×7 database clusters • Scripting: Proficiency in Bash and one ...

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Database Kernel information

See salary details

$34.5K

$137.8K

$194K

How much do database kernel jobs pay per year?

As of Aug 26, 2026, the average yearly pay for database kernel in the United States is $137,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a database kernel?

A Database Kernel is the core component of a database management system (DBMS) responsible for managing data storage, retrieval, and manipulation at the lowest level. It handles fundamental operations such as transaction management, concurrency control, query processing, and data integrity. The kernel acts as the intermediary between the hardware and higher-level database functionalities, ensuring efficient and reliable access to data. Its performance and robustness are critical for the overall operation of the DBMS.

What are the key skills and qualifications needed to thrive as a database kernel engineer?

To thrive as a Database Kernel Engineer, you need strong expertise in computer science fundamentals, database systems, and low-level programming languages like C or C++, typically backed by a degree in computer science or a related field. Familiarity with database architectures, concurrency control, storage engines, and performance profiling tools is essential, along with experience using version control systems such as Git. Excellent problem-solving skills, attention to detail, and effective collaboration are important soft skills in this role. These abilities are crucial for ensuring the reliability, efficiency, and scalability of core database components that support critical business applications.

What are some common challenges faced by professionals working in a database kernel role, and how can they be addressed?

Professionals in Database Kernel roles often encounter challenges such as ensuring high performance under heavy workloads, maintaining data consistency during concurrent operations, and quickly diagnosing low-level system bugs. Addressing these challenges involves a strong understanding of database internals, expertise in systems programming (typically in C or C++), and close collaboration with other engineering teams, such as storage or query optimization. Regular code reviews, comprehensive testing, and performance benchmarking are critical practices that help kernel engineers maintain reliability and efficiency in large-scale production environments.

What is the difference between Database Kernel vs Database Administrator?

AspectDatabase KernelDatabase Administrator
CredentialsKnowledge of database architecture, programming, and system-level skillsCertifications like Oracle DBA, Microsoft SQL Server, or MySQL certifications
Work EnvironmentSystem-level, often involving software development and maintenanceOperational, managing databases, backups, and user access
Industry UsageUsed by database developers and system engineersUsed by IT teams and database management professionals
Search & ComparisonFocuses on internal database components and developmentFocuses on database management, optimization, and user support

The Database Kernel is primarily involved in the core software components and development of database systems, whereas the Database Administrator manages and maintains existing databases, ensuring their performance and security. Both roles are essential but serve different functions within the database ecosystem.

More about Database Kernel jobs
Infographic showing various Database Kernel job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $137,761 per year, or $66.2 per hour.

Principal Systems Developer - Kernel

Boston, MA

Full-time

Re-posted 24 days ago


Job description

The InterSystems IRIS data platform is the engine behind some of the world's most important applications. At its core is a super scalable, high performance database engine built to naturally and flexibly store data accessed from multiple data models, including multi-dimensional arrays, key/value, relational tables, and objects. The database engine runs on a variety of operating systems including Linux, AIX and Windows. It's designed to scale on large NUMA machines, distributed cache clusters, and the cloud.

The database kernel team needs a creative and motivated developer to join them in designing, implementing and enhancing components of the database engine and its embedded programming language. As part of a small team at the center of the data platform, you can expect to make a large impact with a high degree of independence.

Responsibilities

  • Compose elegant, efficient, reliable and maintainable source code in C, with some C++
  • Analyze, develop and optimize algorithms and data structures for efficiency in memory and/or modern storage devices
  • Analyze and understand concurrency control and memory ordering issues around access to shared memory structures
  • Learn, maintain and extend the embedded database programming language (ObjectScript) that comprises the application interface to the database
  • Enhance interactions with modern operating systems and hardware devices
  • Develop and maintain database management APIs
  • Debug complex problems; develop and run test code
  • Compose internal design documentation and guide external documentation
  • Stay up to date with operating system, storage and database technology

Experience Required

  • 10+ years developing low-level system code for mission-critical software
  • Experience in C or C++; assembly is a plus.
  • Strong technical knowledge of computer architecture, operating systems, concurrency control, compiler and interpreter methods, and software engineering techniques
  • Excellent communication and collaboration skills
  • Commitment to creating robust code to run for decades in high-stakes deployments
  • Experience using AI-assisted tools (e.g. copilots, summarisation tools, or chatbots) with an ability to critically evaluate and verify AI-generated outputs
  • Demonstrated ability to learn, evaluate, adapt to, propose and implement AI-augmented workflows in order to continually enhance your own, and the team's productivity
  • Bachelor's degree in Computer Science, Software Engineering, or a related field



We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.