X4 Engineering Jobs in Usa

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Lead Integrated Product Support Specialist

Job ID: 33551

Job Location: Waco, Texas; On-site

Job Schedule: 9/80 off every other Friday, 1st shift

Job Description:

The Aircraft Supportability/Integrated Integrated Product Support Analyst is responsible for developing and recommending support/sustainment solutions for major airborne and ground based weapons systems

by use of long term support principles.

Essential Functions:

• Integrated Product Support Analyst development and documentation skills (LMI, MIL-PRF-49506, MIL-HDBK-502, GEIA-STD-0007, DEF-STAN-00-60)
• Experienced in developing and managing LSAR (SLICwave/EAGLE/PowerLog)
• Spares analysis using system reliability/maintainability data as related to the maintenance concept
• Life Cycle Cost and Total Ownership Cost focused on operations and support cost estimating
• Training development and management
• Ability to translate system requirements into functional requirements
• Technical proposal writing skills
• Experience with creating labor estimates derived from customer requirements
• Able to work independently or in a team

Qualifications:

• Bachelor’s Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.

Preferred Additional Skills:

• Reliability and maintainability modeling skills
• FMECA experience
• Logistics/Supportability demonstration experience
• Human Factors modeling and simulation experience
• Working knowledge of Releyence software
• Working knowledge of Earned Value Management System

#LI-TD4 

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Aircraft Integrated Logistics Support Specialist

JobID: 33498

Job Location: Waco, Texas; On-site

Job Schedule: 9/80, off every other Friday

Job Description:

The Aircraft Integrated Logistics Support Specialist 3 is responsible for developing and recommending support/sustainment solutions for major airborne and ground based weapons systems

by use of long term support principles.

Essential Functions:

• Logistics Support Analysis development and documentation skills (LMI, MIL-PRF-49506, MIL-HDBK-502, GEIA-STD-0007, DEF-STAN-00-60)
• Experienced in developing and managing LSAR (SLICwave/EAGLE/PowerLog)
• Spares analysis using system reliability/maintainability data as related to the maintenance concept
• Life Cycle Cost and Total Ownership Cost focused on operations and support cost estimating
• Training development and management
• Ability to translate system requirements into functional requirements
• Technical proposal writing skills
• Experience with creating labor estimates derived from customer requirements
• Able to work independently or in a team

Qualifications:

• Bachelors degree with a minimum of five (5) years relevant experience.The equivalent combination of education and directly related work experience can be considered.
• Candidate must be able to obtain/maintain a Secret clearance. Must be able to pass additional security background checks as required.

Preferred Additional Skills:

• Reliability and maintainability modeling skills
• FMECA experience
• Logistics/Supportability demonstration experience
• Human Factors modeling and simulation experience
• Working knowledge of Releyence software
• Working knowledge of Earned Value Management System

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Olgoonik is an Equal Opportunity Employer 

Overview:

Position supporting a major U.S. Navy contract responsible for providing full life cycle sustainment of Anti-terrorism/Force Protection (AT/FP) systems and equipment to ensure the security posture of Navy shore installations worldwide.

Primary Responsibilities:

• Customer support activities involving the installation, modification, and repair of complex equipment and systems.
• Conducts on-site installation and testing of equipment to ensure proper working order.
• Isolates equipment start-up malfunctions and takes corrective action.
• Trains customer personnel in equipment operation and maintenance responsibilities.
• Represents the company in a customer support role and is responsible for customer's satisfaction with equipment and servicing.
• Perform other duties as assigned.

Supervisory Responsibilities:

No supervisory duties are anticipated at this time.

Education and/or Experience:

• Bachelor’s degree preferred or 8+ years of related experience.
• Experience on U. S. Navy ATFP or electronic security systems strongly desired.
• Experience installing or repairing security systems or components thereof.
• Proficient with Microsoft Suite of products including: Word, Excel, Access and Outlook.
• System/Equipment Experience Desired: Physical Security/Access Control (PS/AC); Command, Control, Communications, Computer, and Intelligence (C4i), and Chemical, Biological, Radiological and Nuclear (CBRN)/Emergency Management (EM), Mass Notification Systems, Regional Operations Centers, Regional Dispatch Centers, Emergency Operations Centers, Automated Gates & Turnstiles, Video Surveillance Systems.

Knowledge, Skills, and Abilities:

• Ability to demonstrate a good attitude and ability to work as a member of a team.
• Position requires self-motivation and the ability to work effectively under a minimum of supervision.
• Must be able to multi-task efficiently, work in a fast paced environment on multiple projects, and have a strong attention to detail.

Certificates, Licenses, Registrations:

• Must possess or able to obtain and maintain certifications for: First Aid/CPR, Fork Lift Operator, Aerial/Boom Lift, Scissor Lift, and Tower Climbing.

Security Clearance:

SECRET Level Required

• Must have a current US Government SECRET Personnel Security Clearance or be able to successfully complete a U.S. government administered Investigation.
• Must be a U.S. Citizen.
• Must also be able to maintain a US Government SECRET clearance.

Physical Demands:

The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this position. The employee must be able to stand, walk and sit for a prolonged period of time; use hands and/or fingers to handle or feel objects, tools or controls; operate office equipment; reach with hands and arms; climb stairs; balance; stoop; kneel; talk and hear. Specific vision abilities required by the job include close and distant vision. The employee must occasionally lift and or move up to 50 pounds.

Travel:

Some travel may be required.

Work Environment:

This position will be located within a naval base in Kings Bay.

PI6441811f28bd-38

Open date: June 10, 2025

Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.

Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.

Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.

General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Labor Contract:

Bachelors degree or equivalent international degree required by date of application.

Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.

Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.
  
  (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

• You must be at least 18 years old
• Ability to work at various heights
• This is a full-time position and requires you to be fully available any shift, any day of the week
• You will also be required to be fully available on national/state holidays.

• Disney Aspire – an education program that covers 100% of tuition at network schools
• Discounted meals during work shifts
• Discounts at Hilton Head Island eateries such as New York City Pizza, Giuseppe’s, and Scott’s Fish Market
• Complimentary theme park admission for full-time and part-time positions after two weeks of employment
• Discounts on merchandise at Disney’s Hilton Head Island Resort and at Walt Disney World Resort

AGE Solutions is preparing for a significant contract supporting the Joint Service Provider (JSP) Enterprise Transport Management (ETM) program. This role group covers real-time network monitoring, troubleshooting, and automation in a high-stakes classified environment. We're seeking agile professionals who can respond rapidly and lead technically across DoD network and telecom environments.

Who We're Looking For:

• 
  
• Senior Network Engineers, NetOps Leads, Voice Engineers, Network Admins
  
• Incumbents encouraged to apply
  

Clearance: TS/SCI
Certifications: CISSP, CASP, CCIE, RCDD
Experience: 8 to 25 years; Cisco, Avaya/Nortel, Splunk, Ansible, ServiceNow

This position is part of a pipeline for a future opportunity supporting the JSP ETM program. Employment is contingent upon contract award and government customer approval. AGE Solutions is actively engaging talent ahead of award and encourages both current incumbents and new candidates to express interest.

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Open date: March 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

This is Hemanth from Synstack, please share your updated resume for below role

SRE Manager

San Francisco CA(onsite)

Contract

Job Description:

Year Of Experience: 10-15 Years.

Support coverage: PST Business Hours

Note: Retail/Ecommerce Domain is required

Working knowledge in Retail domain is mandatory.

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and L7 leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.