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Software Engineer Supervisor Jobs (NOW HIRING)

Lodging Dynamics

Engineer Supervisor

Laie, HI · On-site

$28 - $31/hr

ENGINEER SUPERVISOR Department: Maintenance Reports To: Director of Engineering Supervises ... maintenance software. * Assist with monitoring maintenance supply inventory and communicate ...

Peraton

Site Reliability Engineer, Supervisor

$104K - $166K/yr

This role blends software engineering and systems administration expertise to design, automate, and ... Site Reliability Engineer, Supervisor works closely with development, infrastructure, and product ...

AAIT Health

Software Engineer

Little Rock, AR · On-site

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA Classification: Exempt Location: Little Rock, Arkansas Requirements: About Us AAIT Health harnesses AI ...

AAIT Health LLC

Software Engineer

Little Rock, AR

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA Classification: Exempt Location: Little Rock, Arkansas Requirements About Us AAIT Health harnesses AI and ...

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How much do software engineer supervisor jobs pay per year?

As of May 30, 2026, the average yearly pay for software engineer supervisor in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Engineer Supervisor, and why are they important?

To thrive as a Software Engineer Supervisor, you need a strong background in software development, leadership experience, and typically a bachelor’s degree in computer science or a related field. Familiarity with version control systems (like Git), project management tools (such as Jira), and experience with relevant programming languages are commonly expected. Exceptional communication, mentorship, and problem-solving abilities are critical soft skills for managing teams and fostering growth. These competencies ensure effective project delivery, high team morale, and the successful alignment of technical solutions with business objectives.

What are some common challenges faced by Software Engineer Supervisors when managing a technical team?

Software Engineer Supervisors often encounter challenges such as balancing project deadlines with team capacity, ensuring clear communication among team members, and navigating conflicting priorities from stakeholders. Another common challenge is supporting the professional growth of team members while maintaining high productivity. Effective supervisors address these by fostering an open team culture, employing agile project management practices, and providing regular feedback and mentorship.

What are Software Engineer Supervisors?

Software Engineer Supervisors are professionals who oversee teams of software engineers to ensure that projects are completed efficiently and meet organizational standards. They are responsible for planning, assigning tasks, mentoring team members, and coordinating with other departments. In addition to technical expertise, they require strong leadership and communication skills to manage team dynamics and project timelines. Their role bridges the gap between upper management and technical staff, ensuring smooth workflow and high-quality software delivery.

What is the difference between Software Engineer Supervisor vs Software Engineer?

AspectSoftware Engineer SupervisorSoftware Engineer
ResponsibilitiesOversees development teams, manages projects, mentors staffDevelops software, writes code, implements features
Required SkillsTechnical expertise, leadership, communicationProgramming, problem-solving, technical knowledge
CertificationsOften requires a bachelor's degree in CS or related field; leadership experienceBachelor's in CS or related field; coding certifications optional
Work EnvironmentTeam management, project planning, collaborationIndividual coding, software development, testing

The main difference between a Software Engineer Supervisor and a Software Engineer lies in their roles. The supervisor manages teams and oversees projects, requiring leadership skills, while the software engineer focuses on coding and technical development. Both roles often require similar educational backgrounds, but the supervisor's role emphasizes management and coordination.

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Software Engineer Supervisor jobs near you

Software Engineer Supervisor (System Admin)

HR1Systems

Jersey City, NJ • On-site, Remote

$180.60K - $214K/yr

Full-time

PTO

Posted 6 days ago

Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.

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