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Manager Of Software Engineering Jobs in Allen, TX

JP Morgan Chase

Director of Software Engineering

Plano, TX · On-site

$236K/yr

As a Director of Software Engineering at JPMorganChase within the Deposits team, you lead a ... In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex ...

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All JobsOf Software Engineering JobsManager Of Software Engineering JobsManager Of Software Engineering Jobs in Allen, TX

Manager Of Software Engineering information

See Allen, TX salary details

$92.6K

$157.6K

$186.5K

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

As of Aug 20, 2026, the average yearly pay for manager of software engineering in Allen, TX is $157,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,900.00 and $160,900.00 per year, depending on experience, location, and employer.

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

AspectManager Of Software EngineeringSoftware Development Manager
ResponsibilitiesOversees multiple engineering teams, manages technical strategy, and aligns projects with business goals.Manages software development projects, leads development teams, and ensures timely delivery of software products.
Required SkillsTechnical leadership, project management, cross-team coordination, and strategic planning.Development process expertise, team management, and project execution skills.
Work EnvironmentTypically in larger organizations with multiple engineering teams, involved in high-level planning.Often in software companies or tech teams, focused on project delivery and team management.

The Manager Of Software Engineering generally has broader responsibilities, overseeing multiple teams and aligning technical strategies with business objectives. In contrast, a Software Development Manager focuses more on managing specific development projects and teams to deliver software products efficiently.

What does a manager of software engineering do?

A manager of software engineering oversees software development teams, coordinates project planning, and ensures timely delivery of high-quality software products. They manage resources, set technical priorities, and facilitate communication between team members and stakeholders, often using tools like Agile or Scrum methodologies. Strong leadership, technical knowledge, and project management skills are essential for this role.

What are the most commonly searched types of Of Software Engineering jobs in Allen, TX?

The most popular types of Of Software Engineering jobs in Allen, TX are:

What cities near Allen, TX are hiring for Manager Of Software Engineering jobs?

Cities near Allen, TX with the most Manager Of Software Engineering job openings:

Infographic showing various Manager Of Software Engineering job openings in Allen, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $157,554 per year, or $75.7 per hour.

Director of Software Engineering

JPMorgan Chase & Co.

Plano, TX • On-site

$180 - $230/hr

Other

Re-posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 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 the Deposits 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/TLM 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.
  • Sets direction for reliability engineering practices within a technical area, including SLO/SLI definition, error budgets, capacity planning, and resilient design patterns aligned to business outcomes.
  • Establishes observability standards across services (metrics, logs, traces, dashboards, alerting) to accelerate detection, triage, and remediation while reducing toil and repeat incidents.
  • Drives end‑to‑end engineering decisions by assessing downstream impacts across integrated platforms, data flows, and dependent systems, and aligning changes to enterprise resiliency and risk expectations.
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
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
  • Strong understanding of end-to-end system behavior and downstream impacts, including dependency management, data integrity considerations, back‑pressure/capacity constraints, and failure‑mode analysis across integrated services.
  • Experience developing or leading cross‑functional teams of technologists
  • Experience with hiring, developing, and recognizing talent
  • Experience leading adoption of agentic AI‑enabled engineering practices (using enterprise‑authorized tools within the work environment) across teams, including defining operating expectations (human‑in‑the‑loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
  • Practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
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