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Software Engineering Manager Jobs in Houston, TX

... software · Thorough understanding of engineering theory and design criteria. · Thorough ... time management skills with a proven ability to meet deadlines. · Strong analytical and problem ...

Engineering Manager

Houston, TX · On-site

$130K - $220K/yr

Power Generation Engineering Manager Houston, TX $130,000 - $220,000 + 15% STIP A Manager, Engineering - Power Generation / Engineering Manager / Power Generation Engineering Manager is required to ...

New

The Engineering Manager is the top technical authority at Locke Solutions. The final word on ... Proficient in structural engineering software and tools; familiarity with CAD/detailing workflows a ...

The Engineering Manager is the top technical authority at Locke Solutions. The final word on ... engineering software and tools; familiarity with CAD/detailing workflows a plus. • Executive ...

Showing results 21-40

Software Engineering Manager information

See Houston, TX salary details

$95K

$161.8K

$191.5K

How much do software engineering manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for software engineering manager in Houston, TX is $161,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,200.00 and $165,200.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

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

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

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

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

What job categories do people searching Software Engineering Manager jobs in Houston, TX look for?

The top searched job categories for Software Engineering Manager jobs in Houston, TX are:

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

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

Infographic showing various Software Engineering Manager job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $161,754 per year, or $77.8 per hour.

Sr Tech Lead - Software Engineering & A

Engineers and Constructors International Inc.

Houston, TX • On-site

$150 - $200/hr

Other

Posted 5 days ago


Job description

Join the ECI Group's Professional Technical Services Network as a contract Sr Tech Lead – Software Engineering & AI. This is a Houston based contract role with an anticipated 4-month duration with an estimated start date of Sept 21, 2026.

Note: You must be a US Citizen or Permanent US Resident to qualify for this position.

About the Role

The Sr Tech Lead – Software Engineering & AIwill join a vibrant team within the Trading & Supply Capability Center (CC) in the IT Digital Engineering VPship. This role is accountable for leading the design, development, deployment, and ongoing operation of production-grade digital products that combine strong software engineering foundations with applied AI and GenAI capabilities. The role carries a balanced 50:50 focus: driving modern software engineering practices across architecture, APIs, platforms, cloud-native delivery, reliability, and security, while also shaping the practical use of machine learning, GenAI, RAG, and intelligent automation to solve business problems across multiple lines of business. The successful candidate will be responsible for delivering scalable, maintainable, and governed solutions that meet Shell quality standards and can be operated confidently in production.

Key Characteristics
  • Design, build, and deploy production-grade applications and services that embed AI and GenAI capabilities in a secure, scalable, and maintainable way.
  • Build and evolve core engineering foundations including APIs, reusable services, cloud-native deployment patterns, CI/CD pipelines, monitoring, and operational support for AI-enabled products.
  • Work closely with platform, infrastructure, data engineering, and DevSecOps teams to improve deployment velocity, runtime resilience, security controls, and engineering efficiency.
  • Lead the technical direction of software engineering and AI initiatives, ensuring a balanced focus on product architecture, engineering quality, and applied AI delivery.
  • Mentor software engineers and AI engineers, raising the bar on coding standards, system design, testing, delivery practices, and responsible use of AI technologies.
  • Define engineering and evaluation practices that ensure software quality, model quality, reliability, performance, observability, and compliance for AI tooling and services.
  • Guide the strategic adoption of AI and GenAI by identifying high-value opportunities and turning them into robust engineering outcomes that can scale across the enterprise.
  • Partner with Product Management and business stakeholders to translate requirements into well-architected software solutions, AI-enabled workflows, and delivery roadmaps.
  • Stay current with emerging software engineering and AI practices, continuously improving delivery approaches, technical standards, and relationships across Shell, industry, and academia.
  • Contribute to technical communities of practice and centres of excellence, helping to strengthen engineering capability, reusable patterns, and responsible AI adoption.
Professional Qualifications & SkillsEducational Qualification
  • Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Engineering, Data Science, Machine Learning, or a related technical discipline.
  • Minimum 8+ years of industry experience, including significant hands‑on delivery across both software engineering and AI/ML-enabled product development.
Required Skills
  • Strong experience delivering production-grade digital products with a balanced focus on modern software engineering and applied AI/GenAI.
  • 8+ years of development experience across relevant languages, frameworks, and tooling such as Python, Java, JavaScript/TypeScript, JVM-based technologies, APIs, event-driven systems, and cloud-native platforms.
  • Strong software engineering fundamentals including system design, clean code practices, testing strategies, code reviews, version control, and maintainable architecture.
  • Hands‑on experience building, deploying, and monitoring applications on Kubernetes and related cloud-native infrastructure.
  • Experience designing and operating scalable services, APIs, microservices, or platform components with strong attention to reliability, performance, and security.
  • Practical experience designing, developing, deploying, and monitoring machine learning and GenAI | Software Design, Software Engineering Management, Software Engineering Process

Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.

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