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Sdlc Jobs (NOW HIRING)

Agilent

$168K - $315K/yr

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team ...

Zions Bank

Enterprise Architect - SDLC

Midvale, UT · On-site

$65 - $84/hr

We are seeking an Enterprise Architect (SDLC) to join Zions Bancorporation. As an Enterprise Architect focused on SDLC, you will be instrumental in designing how we work in systems and together to ...

GlobalLogic

NY · On-site

$130 - $180/hr

Principal AI SDLC Acceleration Architect IRC296096 Function: Engineering Experience: 10-15 years Location: Poland Skills: Autogen, Claude code, Cursor, Google Antigravity, langchain, llamaindex, MCP ...

Apple

Software Engineer, SDLC Analytics

Cupertino, CA · On-site

As part of our Software Development Life Cycle (SDLC) team, you'll architect and engineer a comprehensive telemetry and analytics platform that provides deep telemetry across the entire software ...

Hitachi Vantara Corporation

NY · On-site

$130 - $170/hr

Description Principal AI SDLC Acceleration Architects to help customers prove the value of VelocityAI SDLC through hands‑on architecture, AI-enabled engineering, and measurable delivery ...

Zions Bancorporation

Enterprise Architect - SDLC

Midvale, UT · On-site

$65 - $84/hr

We are seeking an Enterprise Architect (SDLC) to join Zions Bancorporation. As an Enterprise Architect focused on SDLC, you will be instrumental in designing how we work in systems and together to ...

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Sdlc information

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How much do sdlc jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for sdlc in the United States is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $67.31 per hour, depending on experience, location, and employer.

What is SDLC?

SDLC stands for Software Development Life Cycle. It is a systematic process used by software developers and engineers to design, develop, test, deploy, and maintain software applications. The SDLC consists of several distinct phases, including requirement gathering, planning, designing, coding, testing, deployment, and maintenance. Following the SDLC helps ensure that software is delivered efficiently, meets customer requirements, and is of high quality.

What are the key skills and qualifications needed to thrive as an SDLC (Software Development Life Cycle) Manager, and why are they important?

To thrive as an SDLC Manager, you need a strong background in software development methodologies, project management, and process optimization, often supported by a degree in computer science or a related field. Familiarity with project management tools (like Jira or Trello), version control systems (such as Git), and certifications like PMP or Agile/Scrum Master are highly valued. Leadership, communication, and problem-solving abilities are essential soft skills to effectively coordinate teams and manage project timelines. These skills ensure efficient software delivery, high-quality products, and alignment between technical teams and business objectives.

What is the difference between Sdlc vs Software Tester?

AspectSdlcSoftware Tester
Primary RoleDefines and manages the software development process from planning to deploymentTests software to identify bugs and ensure quality
Required SkillsProject management, requirements analysis, development lifecycle knowledgeTesting methodologies, defect tracking, attention to detail
Work EnvironmentCollaborates with developers, project managers, and stakeholdersWorks closely with developers and QA teams during testing phases
CertificationsPM certifications, SDLC frameworks knowledgeISTQB, CSTE certifications often preferred

While SDLC (Software Development Life Cycle) focuses on managing the entire software development process, a Software Tester specializes in evaluating the software to ensure quality. Both roles are essential in software projects, with SDLC providing the framework and Software Testers executing testing activities within that framework.

What are some common challenges faced by professionals working within the Software Development Life Cycle (SDLC) process?

Professionals involved in the SDLC often encounter challenges such as coordinating communication among cross-functional teams, managing shifting project requirements, and ensuring adherence to timelines without compromising quality. Balancing thorough documentation with agile practices can also be difficult, as can maintaining consistent testing and deployment practices across projects. Being proactive in addressing these challenges through regular meetings, clear documentation, and collaborative tools can help teams stay aligned and deliver successful software solutions.
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Sdlc jobs near you
Infographic showing various Sdlc job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,666 per year, or $60.4 per hour.
Lead, AI Engineering & SDLC Automation

Lead, AI Engineering & SDLC Automation

Agilent

Santa Clara, CA • On-site, Remote

$168K - $315K/yr

Full-time

Posted 21 days ago

Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

84th of 528 rated manufacturers

Job description

Job Description

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team responsible for delivering AI-assisted engineering capabilities, agentic workflow automation, and SDLC automation that meaningfully improve developer productivity and software delivery across the Productivity Solutions Division.

You will own the selection, integration, governance, and adoption of AI-enabled engineering tools and automation within developer workflows, partnering across DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to scale safe, reliable, and measurable AI-enabled software delivery practices.

Impact

Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual toil, increase consistency across the SDLC, and help teams adopt AI-enabled practices safely, reliably, and at scale.

What You'll Do

  • Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling.

  • Define team priorities, resource needs, operating cadence, performance expectations, and execution plans.

  • Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement.

  • Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift.

  • Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services.

  • Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows.

  • Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices.

  • Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy.

  • Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans.

  • Resolve conflicting priorities across engineering productivity, security, reliability, cost, and responsible AI adoption.

  • Define and track success measures for AI-enabled engineering automation, including productivity, adoption, toil reduction, quality, reliability, and developer experience.

Qualifications

What You Bring

  • Typically 5+ years of experience formally or informally leading people, projects, and/or programs.

  • Bachelor's or Master's degree or equivalent experience.

  • Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation.

  • Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments.

  • Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes.

  • Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation.

  • Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns.

  • Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns.

  • Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations.

  • Experience driving adoption, enablement, and behavior change across distributed engineering teams.

  • Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use.

  • Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least July 1, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&D

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