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Software Engineer 2 Jobs in Raleigh, NC (NOW HIRING)

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 ...

You have 2+ years software engineering experience * Excellent planning, organizational, problem-solving, analytical, decision-making and communication skills * Must have the desire to learn new ...

Your Superhero Uniform Includes (Required Experience and Skills) * 2+ years of experience as a full stack software engineer developing scalable and resilient event-driven and API-based microservices ...

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... Expertise in Python with a minimum of two years of demonstrated hands-on professional development ...

Your Superhero Uniform Includes (Required Experience and Skills) * 2+ years of experience as a full stack software engineer developing scalable and resilient event-driven and API-based microservices ...

... • 2-5 years of hands-on software development experience. • Experience with Python or another ... programming language and using AI-assisted development platforms such as GitHub Copilot, Cursor ...

Embedded Software Engineer

Cary, NC · On-site

$60 - $64/hr

Embedded Software Engineer Client: Heavy Machine Manufacturing Company Location: Cary, NC 27513 ... GNU Make - 1-2 years * CAN / UDS protocols - 1-2 years * Agile development - 1-2 years * RTOS ...

Showing results 21-40

Software Engineer 2 information

See Raleigh, NC salary details

$53.9K

$115.4K

$168.6K

How much do software engineer 2 jobs pay per year?

As of Sep 5, 2026, the average yearly pay for software engineer 2 in Raleigh, NC is $115,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a Software Engineer 2?

A Software Engineer 2 is typically a mid-level software engineering position, responsible for designing, developing, testing, and maintaining software applications. At this level, engineers are expected to have a solid foundation in programming and software development practices, and they often work independently or as part of a team on more complex projects. They may also assist in code reviews, mentor junior engineers, and contribute to architectural decisions. Software Engineer 2 roles usually require a few years of professional experience and a demonstrated ability to deliver high-quality code.

What are the key skills and qualifications needed to thrive as a Software Engineer 2?

To thrive as a Software Engineer 2, you need strong programming skills, experience with software development methodologies, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, development frameworks, and cloud platforms such as AWS or Azure is often required. Problem-solving, effective communication, and teamwork are crucial soft skills that help you excel in collaborative and dynamic environments. These skills and qualifications are vital to delivering high-quality software solutions, collaborating across teams, and adapting to evolving technical challenges.

How does a Software Engineer 2 typically collaborate with cross-functional teams during a project?

As a Software Engineer 2, you will frequently collaborate with cross-functional teams, including product managers, designers, and quality assurance professionals. Your role often involves attending regular stand-up meetings, participating in code reviews, and providing technical input during project planning sessions. Effective communication and a proactive approach to problem-solving are key, as you'll be expected to translate requirements into technical solutions and ensure smooth integration with other team members' work. This collaborative environment not only helps in delivering high-quality products but also offers opportunities to learn from professionals in different disciplines.

What is the difference between Software Engineer 2 vs Software Engineer 3?

CriteriaSoftware Engineer 2Software Engineer 3
Required CredentialsBachelor's degree in CS or related field; 2-3 years experienceBachelor's degree; 3-5 years experience; strong technical skills
Work EnvironmentCollaborative team projects, code reviews, debuggingLeadership in projects, mentoring juniors, complex problem-solving
Employer & Industry UsageCommonly used in tech companies, startups, and corporate ITUsed in similar environments, often as a step up in career progression

Software Engineer 2 typically handles core development tasks with moderate complexity, while Software Engineer 3 takes on more advanced projects, mentors team members, and demonstrates greater technical expertise. The transition from level 2 to 3 involves increased responsibility and experience.

What are popular job titles related to Software Engineer 2 jobs in Raleigh, NC?

For Software Engineer 2 jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Software Engineer 2 jobs in Raleigh, NC look for?

The top searched job categories for Software Engineer 2 jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Software Engineer 2 jobs?

Cities near Raleigh, NC with the most Software Engineer 2 job openings:

Infographic showing various Software Engineer 2 job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $115,354 per year, or $55.5 per hour.

Lead Agentic Software Engineer II

Deloitte

Raleigh, NC • On-site

Full-time

Posted 12 days ago


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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