Agile Methodologies Jobs in San Francisco, CA

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Looking for Agile Methodologies jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Agile Methodologies position in the San Francisco, CA area.

Customer Engineer III, AI/ML, Google Cloud

Company: Google

Location: San Francisco, CA

Posted Jan 22, 2025

Scrum Master

Company: Leidos

Location: San Diego, CA

Posted Jan 22, 2025

AI/ML - Sr Performance Testing Frameworks Software Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 22, 2025

Apple is seeking a Performance Framework Software Engineer for its ML Systems Evaluation Engineering (MLSEE) team. The role involves developing solutions for AIML products, including designing automation and performance frameworks, and implementing tools, APIs, and infrastructure for ML product qualification. The engineer will also participate in AIML iOS products roadmap decisions. Minimum qualifications include 5+ years of software development experience, strong expertise in Swift, Python, and XC test, and experience with designing tools and frameworks for testing and measuring performance. Preferred qualifications include experience with Objective-C, understanding of ML-based product lifecycle, and strong problem-solving skills. The role offers a base pay range between $143,100 and $264,200, along with comprehensive benefits and opportunities for professional growth.

Camera & Photos Performance Automation Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 22, 2025

Apple is seeking an automation engineer for the Camera & Photos team. The role involves ensuring automation tests and infrastructure run smoothly, learning performance metrics, triaging and analyzing results, and filing performance bugs. The engineer will work closely with engineering teams to debug and validate performance optimizations. They will also develop new performance automation for upcoming features. Minimum qualifications include excellent knowledge of software development lifecycle, test methodologies, tools, and proficiency in Python and/or Swift. Preferred qualifications include deep technical knowledge, strong organizational and communication skills, and experience with XCTest, Xcode, iOS and macOS automation, and performance testing.

Service Manufacturing Engineering TPM

Company: Apple

Location: Elk Grove, CA

Posted Jan 22, 2025

Apple is hiring an experienced engineer to support AppleCare's repair processes. The Technical Program Manager (TPM) will monitor, maintain, and drive improvements in high-volume screening and repair solutions at contract manufacturer sites in the Americas. Responsibilities include advocating for the customer, managing site technical process performance, investigating site technical issues, leading DOE cycles, and maintaining globally consistent processes. Minimum qualifications include a BS/MS in engineering, 5+ years of industrial or manufacturing engineering experience, and working knowledge of data analytics and statistical process control.

Wireless Stability Engineer, Cellular

Company: Apple

Location: San Diego, CA

Posted Jan 22, 2025

Automation Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 22, 2025

The Beats Engineering team at Apple is seeking a highly motivated engineer with 8+ years of quality testing experience. The role involves developing/maintaining frameworks and automation environments, driving investigation of use cases, and developing software to validate functionality and performance of systems. The ideal candidate should have proficiency in Python, experience in firmware validation methodologies, and a strong understanding of software QA methodologies. The base pay range is between $195,500 and $293,800, with additional benefits including comprehensive medical and dental coverage, retirement benefits, and educational reimbursement.

Modem Design Engineer

Company: Apple

Location: San Diego, CA

Posted Jan 22, 2025

Apple is seeking an experienced RTL designer for a role involving synthesis, power, analysis, and optimization of delivered IP. The ideal candidate will work closely with various teams to meet challenging targets and deliver best-in-class multi-modem cellular modems. The role requires expertise in physical design, timing analysis, and advanced synthesis techniques. Apple offers a competitive base pay range between $197,400 and $360,200, along with comprehensive benefits and opportunities for professional growth.

Sr Software Engineer - Corp Data

Company: Uber

Location: San Francisco, CA

Posted Jan 22, 2025

Staff Configuration Analyst

Company: Northrop Grumman

Location: San Diego, CA

Posted Jan 22, 2025

Frequently Asked Questions

What are the typical salary ranges for Agile Methodology roles by seniority?
Junior Scrum Master: $70k–$90k; Mid‑level Scrum Master/Agile Coach: $90k–$120k; Senior Agile Coach/Release Train Engineer: $120k–$160k; Lead Product Owner or Director of Delivery: $140k–$180k.
What skills and certifications are essential for an Agile Methodologies professional?
Core skills: Scrum ceremonies, backlog grooming, velocity tracking, and stakeholder facilitation. Certifications: CSM/PSM for Scrum Masters, CSPO/PSPO for Product Owners, ICAgile Agile Coaching, SAFe Agilist, and proficiency with Jira, Azure DevOps, Confluence, and Kanban boards.
Is remote work common in Agile Methodologies positions?
Yes. 70%+ of Agile roles offer fully remote or hybrid arrangements, provided candidates can collaborate asynchronously, use digital Scrum boards, and maintain clear communication with cross‑functional teams.
What are typical career progression paths in Agile Methodologies?
Start as a Scrum Master or Product Owner, advance to Agile Coach or Release Train Engineer, then move into Program Management, Director of Delivery, and ultimately VP of Agile Delivery or Chief Agile Officer.
What industry trends are shaping Agile Methodologies today?
Emerging trends include SAFe adoption for large enterprises, AI‑driven backlog prioritization, remote‑first Agile squads, continuous delivery pipelines integrated with DevOps, and the use of Data‑Driven Decision Making to refine sprint metrics.

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