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Director Of Software Engineering Jobs in Edison, NJ

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Director Of Software Engineering information

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$143.9K

$263K

How much do director of software engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director of software engineering in Edison, NJ is $252,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $261,900.00 and $261,900.00 per year, depending on experience, location, and employer.

What does a director of software engineering do?

A Director of Software Engineering leads and manages software development teams within an organization. They oversee the planning, execution, and delivery of software projects, ensuring high quality and timely completion. Their responsibilities include defining technical strategy, mentoring engineering managers and developers, fostering collaboration, and aligning technology initiatives with business goals. Additionally, they often play a key role in recruitment, budgeting, and setting best practices for software development processes.

What does a director of software engineering do?

As a director of software engineering, your responsibilities are to oversee the daily operations of the software engineering department and the long-term application of strategic planning for the department. You are ultimately responsible for creating policies and objectives for the department in collaboration with other director-level positions in the company. You are also heavily involved in the department’s finances and project management, and you often oversee multiple projects. At larger companies, you may have fewer technical duties, but for small and mid-sized companies, you may code or provide technical and managerial expertise on specific projects.

What are some common challenges faced by a director of software engineering when managing cross-functional teams?

A Director of Software Engineering often manages teams composed of engineers, product managers, and designers, which can present challenges in aligning priorities and communication styles. Balancing the technical needs of the engineering team with broader business objectives requires clear communication and strong leadership. Additionally, adapting to rapidly changing technology while ensuring consistent delivery and maintaining team morale is a key challenge. Proactive stakeholder management and fostering a culture of collaboration are essential for success in this role.

What are the key skills and qualifications needed to thrive as a director of software engineering, and why are they important?

To thrive as a Director of Software Engineering, you need deep technical expertise in software development, proven leadership experience, and a relevant degree such as in computer science or engineering. Familiarity with agile methodologies, cloud platforms, project management tools (like Jira), and experience with architectural frameworks are typically required. Outstanding communication, strategic thinking, and the ability to mentor and motivate teams are vital soft skills in this role. These skills ensure effective project delivery, foster innovation, and build high-performing teams aligned with organizational goals.

What is the difference between Director Of Software Engineering vs Software Development Manager?

AspectDirector Of Software EngineeringSoftware Development Manager
ResponsibilitiesOversees multiple teams, sets strategic goals, manages budgets, and aligns software projects with business objectives.Manages day-to-day software development teams, ensures project delivery, and coordinates technical tasks.
Required CredentialsBachelor's or Master’s in Computer Science or related field, extensive experience in software development, leadership skills.Bachelor's in Computer Science or related field, strong technical background, experience managing development teams.
Work EnvironmentStrategic, cross-team collaboration, executive communication, often in larger organizations.Technical focus, project management, direct team oversight, often in mid-sized companies.

The main difference is that the Director Of Software Engineering focuses on strategic leadership and organizational oversight, while the Software Development Manager handles daily team management and project execution. Both roles require technical expertise and leadership skills, but the director role involves broader business alignment and higher-level decision-making.

What are the most commonly searched types of Of Software Engineering jobs in Edison, NJ?

The most popular types of Of Software Engineering jobs in Edison, NJ are:

What are popular job titles related to Director Of Software Engineering jobs in Edison, NJ?

For Director Of Software Engineering jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Director Of Software Engineering jobs in Edison, NJ look for?

The top searched job categories for Director Of Software Engineering jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Director Of Software Engineering jobs?

Cities near Edison, NJ with the most Director Of Software Engineering job openings:

Infographic showing various Director Of Software Engineering job openings in Edison, NJ as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $252,516 per year, or $121.4 per hour.

Director of Software Engineering Sales & Controls Technology

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$180 - $280/hr

Other

Posted 4 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within Commercial & Investment Bank , Sales & Controls Tech Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities
  • Leads technology and process implementations to achieve functional technology objectives
  • Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Sets direction and governance for agentic AI-enabled engineering and SDLC/ADLC automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers technical solutions that can be leveraged across multiple businesses and domains
  • Leadership capabilities: leads/mentors technologists, influences stakeholders, and supports hiring/screening for deep technical roles.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • Expert Python engineer: builds production-grade services/libraries with strong testing, performance, and reliability practices.
  • Proven AI/agentic workflow architecture experience (tool-use patterns, orchestration, context management, guardrails, human-in-the-loop).
  • Strong solution/enterprise architecture skills: designs end-to- end systems and documents patterns, integrations, and data flows clearly.
  • Hands-on AWS experience delivering secure, scalable cloud-native services (IAM/security, networking, compute, monitoring/observability).
  • VectorDB + retrieval (RAG) experience: embedding/indexing pipelines, similarity search, metadata filtering, and relevance/latency tradeoffs.
  • Experience building personalization driven by user profiles/entitlements/preferences and applying it to AI assistant experiences.
  • Familiarity with voice + chat conversation data processing pipelines to enable assistant insights and personalization.
  • Platform ownership mindset for large user bases (~3,000 users): availability, resiliency, incident response, and safe release practices.
  • Strong responsible AI / controls understanding: secure handling of sensitive inputs/outputs, governance, and quality gates using enterprise-authorized tools.

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