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Software Engineering Manager Jobs in Monterey, CA

Deloitte

Lead Agentic Software Engineer II

Monterey, CA · On-site

Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics ...

Socket.dev

Automation Engineer Manager

Salinas, CA · On-site

$144.50 - $170/hr

Apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues ... Provide 24/7 on-call rotational support for hardware and software systems for the site * Travel up ...

Deloitte

Appian Engineer, Consultant

Monterey, CA · On-site

Work you'll do As a Software Engineer II on the GPS Engineering as a Service team, you will be ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

CSUMB

Enterprise Developer

Monterey, CA · On-site

$72.45 - $90.08/hr

Software Developer II Hours: Full-time / 40 hours per week FLSA: Exempt Anticipated Hiring Salary ... Organizational and time management skills to plan, organize, and prioritize work. * Demonstrated ...

EmergencyMD

DevOps Engineer

Presidio Of Monterey, CA · On-site

$95 - $105/hr

Involved in planning, installation, maintenance during or after-work hours, troubleshooting, and managing all DevOps servers and applications. * Work with application developers and software ...

LinTech Global

DevOps Engineer

Monterey, CA · On-site

$95K - $105K/yr

Involved in planning, installation, maintenance during or after-work hours, troubleshooting, and managing all DevOps servers and applications. * Work with application developers and software ...

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Showing results 21-40

All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Monterey, CA

Software Engineering Manager information

See Monterey, CA salary details

$110.3K

$187.7K

$222.2K

How much do software engineering manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for software engineering manager in Monterey, CA is $187,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $191,700.00 and $191,700.00 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.

More about Software Engineering Manager jobs

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For Software Engineering Manager jobs in Monterey, CA, the most frequently searched job titles are:

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The top searched job categories for Software Engineering Manager jobs in Monterey, CA are:

What cities near Monterey, CA are hiring for Software Engineering Manager jobs?

Cities near Monterey, CA with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Monterey, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $187,713 per year, or $90.2 per hour.

Lead Agentic Software Engineer II

Deloitte

Monterey, CA • On-site

Full-time

Posted 12 days ago

Key responsibilities

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs

  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows

  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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