Director of Development

InterSystems; Boston (MA); On-site; USD 222,000 - 272,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

401(k) Profit Sharing Contribution

Paid Time Off and Holidays

Parental Leave

Tuition reimbursement

Short-term and long-term disability, &

Life insurance

Job summary

InterSystems seeks a strategic and technically hands-on Director of Development to lead the Data Models engineering team and core platform architecture initiatives for the IRIS data platform. You will drive architectural modernization, operationalize initiatives, and guide cross-functional execution to improve scalability and customer value.

You will mentor engineering leaders, collaborate with product and infrastructure teams, and shape long-term platform strategy from Boston, MA.

Qualifications

• 15+ years of software engineering experience with large-scale platform or infrastructure leadership.
• Deep expertise in distributed systems, databases, and software architecture.
• Proven track record of architectural modernization and large technical transformations.
• Strong leadership, communication, and cross-functional collaboration.
• Bachelor’s degree in Engineering, CS, Mathematics, Physics, or related field.

Responsibilities

• Identify and drive high-impact technical and organizational improvements for the Data Models organization.
• Lead initiatives from concept through operationalization and long-term ownership.
• Guide end-to-end platform architecture decisions to support scalability and maintainability.
• Mentor and develop engineering leaders and contributors.
• Build partnerships across engineering, product, infrastructure to deliver cross-team initiatives.

Skills

Leadership

Distributed systems

Database systems

Architecture

Strategic planning

Education

Engineering degree

Job description

InterSystems is seeking a strategic and technically hands-on Director of Development to lead innovation and execution for the Data Models engineering team, as well as core platform architecture initiatives across the broader engineering team. This leader will be responsible for driving meaningful product and engineering improvements that directly impact customer value, platform scalability, and the long-term evolution of the IRIS data platform.

The Data Models team is responsible for the core multi-model data management architecture of IRIS. This includes the definition and design of persistent data structures, planning and execution in the SQL query engine, and scalability to petabyte-scale data volume and kilo-core distributed compute. Recent major efforts include vector embedding and query support with advanced ANN index structures, dynamic micro-partitioning, and unified row/columnar planning.

The ideal candidate combines deep technical expertise in distributed systems, databases, and software architecture with exceptional leadership, organizational influence, and operational discipline. This role requires someone who can identify high-value opportunities, align teams around execution, and implement sustainable processes that improve engineering quality, velocity, and cross-functional collaboration.

Responsibilities

Strategic Product & Engineering Leadership

• Identify and drive high-impact technical and organizational improvements that materially advance the Data Models organization and IRIS platform capabilities.
• Lead initiatives from concept through operationalization, including implementation, adoption, measurement of impact, and long-term ownership delegation.
• Maintain a strong understanding of the end-to-end platform architecture and guide long-term architectural decisions that support scalability, flexibility, and maintainability.

Technical Excellence & Architecture

• Drive architectural modernization efforts that improve system performance, scalability, concurrency, and operational flexibility.
• Champion engineering best practices, technical rigor, and sustainable software design across the organization.
• Evaluate and integrate emerging technologies, including AI-driven development workflows and agentic coding approaches, while preserving engineering quality and architectural integrity.

Team Leadership & Organizational Development

• Establish and enforce high standards for technical quality, execution, communication, and professionalism.
• Foster a culture of accountability, continuous learning, experimentation, and evidence-based decision making.
• Mentor and develop engineering leaders and individual contributors to support long-term career growth and organizational capability building.
• Create operational leverage through effective delegation, process documentation, and ownership distribution.

Cross-Functional Collaboration

• Build strong partnerships across engineering, product management, infrastructure, and platform teams to deliver initiatives that span organizational boundaries.
• Drive alignment on shared priorities and promote collaborative execution models that enable enterprise-scale product development.
• Advocate for and communicate the value of cross-team contributions and organizational partnerships.

Required Qualifications

• 15+ years of software engineering experience with significant experience leading large-scale platform or infrastructure teams
• Strong background in database systems, distributed systems, storage engines, query optimization, or platform architecture
• Experience leading architectural modernization and large technical transformation initiatives
• Demonstrated ability to balance strategic leadership with deep technical engagement
• Proven success building high-performing engineering cultures focused on accountability, quality, and continuous improvement
• Strong communication and organizational leadership skills
• College degree in Engineering, Computer Science, Mathematics, Physics, or similar

Preferred Qualifications

• Experience with cloud-native systems, scalability models, and modern software delivery practices preferred
• Familiarity with AI-assisted software development workflows and automation frameworks is highly desirable

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.

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

• Medical, vision, and dental insurance
• Short-term and long-term disability, and life insurance
• 401(k) Profit Sharing Contribution
• Paid Time Off and Holidays
• Parental Leave
• Tuition reimbursement

The estimated base compensation range for this role is: $222,000—$272,000 USD

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24x7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.