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<h3>Job Description</h3>
Job Description

 LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

 
 
Job Title: AI/ML Engineer 
 Duration:12 months 
 Location: Stanford, CA 94305 (Hybrid)

Position Overview
The AI/ML Engineer will be a key technical contributor driving CGOE’s AI transformation initiatives, with a focus on building and deploying intelligent, cloud-native applications including GenAI-powered systems, retrieval-augmented assistants, and data-driven automation workflows. Working at the intersection of machine learning, cloud engineering, and educational innovation, this role converts complex requirements into scalable, secure, and maintainable AWS-native AI systems that enhance teaching, learning, and operations across CGOE’s global online programs. 
Top Requirements
<ul>
<li>3+ years deploying AI/ML applications in production environments.</li>
<li>Strong experience with Python and AWS (serverless, microservices, CI/CD, IAM).</li>
<li>At least one AWS Associate-level certification (e.g., Solutions Architect Associate, Developer Associate, SysOps Administrator Associate, Data Engineer Associate). </li>
</ul>
Key Responsibilities
AI Application &amp; Systems Development
<ul>
<li>Own the design and end-to-end implementation of AI systems combining GenAI, narrow AI, and traditional ML models (e.g., regression, classification).</li>
<li>Implement retrieval-augmented generation (RAG), multi-agent, and protocol-based AI systems (e.g., Model Context Protocol/MCP) using modern frameworks such as LangChain and LlamaIndex or similar. </li>
<li>Integrate AI capabilities into production-grade applications using serverless and containerized architectures (AWS Lambda, Fargate, ECS). </li>
<li>Fine-tune and optimize existing models for specific educational and administrative use cases, focusing on performance, latency, and reliability. </li>
<li>Build and maintain data pipelines for model training, evaluation, and monitoring using AWS services such as Glue, S3, Step Functions, and Kinesis. </li>
</ul>
Cloud &amp; Infrastructure Engineering
<ul>
<li>Architect and manage scalable AI workloads on AWS leveraging services such as SageMaker, Bedrock, API Gateway, EventBridge, and IAM-based security. </li>
<li>Build microservices and APIs to integrate AI models into applications and backend systems.</li>
<li>Develop automated CI/CD pipelines to ensure continuous delivery, observability, and monitoring of deployed workloads (e.g., GitHub Actions, CodePipeline). </li>
<li>Apply containerization best practices using Docker and manage workloads via AWS Fargate and ECS for scalable, serverless orchestration and reproducibility. </li>
<li>Ensure compliance with **(e.g., FERPA, GDPR-style requirements) for secure data handling and governance. </li>
</ul>
Collaboration, Culture &amp; Continuous Improvement
<ul>
<li>Collaborate with cross-functional teams (engineering, product, academic stakeholders, operations) to deliver integrated and impactful AI solutions.</li>
<li>Use Git-based version control and follow code review best practices as part of a collaborative, agile workflow.</li>
<li>Operate within an agile, iterative development culture, participating in sprints, retrospectives, and planning sessions.</li>
<li>Continuously learn and adapt to emerging AI frameworks, AWS tools, and cloud technologies, contributing to documentation, internal knowledge sharing, and mentoring as the team scales. </li>
</ul>
Requirements
Education &amp; Certifications
<ul>
<li>Bachelor’s degree in Computer Science, AI/ML, Data Engineering, or a related field (Master’s preferred).</li>
<li>At least one AWS Associate-level certification required; professional-level or specialty certifications (e.g., Machine Learning Specialty, Advanced Networking, Security) are a plus. </li>
</ul>
Experience
<ul>
<li>3+ years of experience developing and deploying AI/ML-driven applications in production environments.</li>
<li>2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD, IAM). </li>
<li>Proven ability to design, automate, and maintain data pipelines for model inference, evaluation, and monitoring.</li>
<li>Experience with both GenAI and traditional ML techniques in applied, production settings. </li>
</ul>
Technical Skills
<ul>
<li>Languages: Python (required); familiarity with Go, Rust, R, or TypeScript preferred.</li>
<li>AI/ML Frameworks: PyTorch, TensorFlow, LangChain, LlamaIndex, or similar libraries for RAG and agentic workflows. </li>
<li>Cloud &amp; Infrastructure: AWS SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, EventBridge, Glue, S3, Step Functions, IAM, CloudWatch. </li>
<li>Infrastructure as Code: AWS CloudFormation.</li>
<li>DevOps &amp; Tools: Git, Docker, AWS Fargate, ECS, CI/CD (GitHub Actions, CodePipeline). </li>
<li>Data Systems: SQL/NoSQL databases, vector databases, and AWS-native data services for AI workloads. </li>
</ul>
Desired Attributes
<ul>
<li>Strong understanding of data engineering fundamentals and production-quality AI system design.</li>
<li>Passion for applying AI to improve educational outcomes and operational efficiency.</li>
<li>Excellent problem-solving, debugging, and communication skills.</li>
<li>Demonstrated ability to learn rapidly, adapt to new technologies, and continuously improve.</li>
<li>Commitment to ethical AI, data privacy, and transparency.</li>
<li>Collaborative mindset with proven success in agile, team-based environments.</li>
<li>Thrives in a fast-paced, evolving environment and proactively seeks opportunities to upskill and enhance processes.</li>
</ul>
Success Metrics
<ul>
<li>Timely delivery of scalable, maintainable AI solutions that meet stakeholder needs.</li>
<li>High system uptime, performance, and cost-efficiency of deployed workloads.</li>
<li>Consistent adoption of best practices in CI/CD, monitoring, and version control.</li>
<li>Positive stakeholder feedback and meaningful contributions to team documentation, learning, and innovation initiatives.</li>
</ul>
 
 
 know more about current opportunities at LeadStack , please visit us on <a href="https://leadstackinc.com/careers/" target="_blank">https://leadstackinc.com/careers/</a>
 Should you have any questions, feel free to call me on (513) 3184502 or send an email on <a href="mailto:waseem.ahmad@leadstackinc.com" target="_blank">waseem.ahmad@leadstackinc.com</a>

AI/ML Engineer - 25-02707

<h3>Job Description</h3>
Kindly review the Job requirement and let me know your interest.
 
Position - Hardware Engineer
Location – San Jose CA
 
Key Responsibilities:
<ul>
<li>Lead the development of at least one high-speed digital board from concept through to release.</li>
<li>Expertise in 25G+ SerDes operation.</li>
<li>Knowledge of leading-edge microprocessor-based reference design.</li>
<li>Experience working on design or debugging of high-speed 10-25G+ optics.</li>
<li>Familiarity with high-speed components such as FPGA, PHY, Retimers, PCIe Switch, and POL.</li>
<li>Strong hands-on lab skills with equipment like oscilloscopes, analyzers, and VNAs.</li>
<li>Ability to set up hardware for debugging purposes.</li>
<li>Proficiency in scripting languages such as Perl, Python, or others to write and run minimal scripts.</li>
<li>General knowledge of networking hardware and familiarity with networking equipment terminology.</li>
</ul>

Hardware Engineer

<h3>Job Description</h3>
Research Scientist
Location: SF Bay Area (On-site)
 
We’re representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy.
 
⭐ The Opportunity
You’ll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact.
 
What You’ll Work On
<ul>
<li>Building LLM reasoning and planning frameworks</li>
<li>Designing structured tool-use, memory, reflection, and multi-step workflows</li>
<li>Developing safe, robust policies for autonomous systems</li>
<li>Training and evaluating models across real engineering and scientific tasks</li>
<li>Collaborating with systems, simulation, and infrastructure experts</li>
</ul>
 
What We’re Looking For
<ul>
<li>Strong research background in LLMs, reasoning, or agents</li>
<li>Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques</li>
<li>Ability to design and evaluate long-horizon behaviors</li>
<li>Comfort working in a fast, interdisciplinary R&amp;D environment</li>
</ul>
 
Why Join
<ul>
<li>Build models that control real physical-world systems, NOT just simulations</li>
<li>Massive scope for autonomy, creativity, and impact</li>
<li>Competitive compensation + meaningful ownership</li>
</ul>

Research Scientist

<h3>Job Description</h3>
About Aivres
 
Aivres is a leading global data center and cloud computing solutions provider committed to delivering innovative technologies that propel the world’s leading industries to new frontiers. We deliver and deploy robust, performance-optimized, purpose-built platforms to major data centers around the globe.

Responsibilities
· Partner with sales team to sell Aivres’s Engineering and Manufacturing capabilities to potential customers
· Perform Competitive Analysis and feedback to sales
· Works collaboratively with R&amp;D, PM, Sales and customer to finalize Customer Requirements Document (CRD)
· Lead the RFP/RFQ response process. Review and provide inputs to customer SOW ensuring alignment with CRD
· Partner with sales to complete business case analysis and winning strategy
· Define project / program charter and output to the cross functional team by conducting formal kick off
· Owns and executes customer’s product life cycle deliverables from Kick-off to MP
· Identify key resource needs (Core Team) in support of the project / program. Forms and leads the core cross functional team
· Develop plan / schedule to achieve customers required deliverables with high quality and on time
· Focal point and owner for managing customers deliverables internally and with customers (Schedule, Cost, Quality, Delivery)
· Owns daily / weekly communications and closed loop feedback with customer and internal core team
· Owns weekly Dashboard updates to internal Sr management team / customer
 
Qualifications:
· Minimum of 7 years of experience in customer technical solution definition and/or program management
· Strong knowledge of x86 Architecture and platform
· Solid knowledge of Hardware Systems Product Development and Qualification process (Server/Storage/Networking)
· Confident individual with strong verbal, written, and presentation skills – Makes great first impressions in new customer engagements. Fluency in Mandarin preferred.
· Persistent and creative leader who will drive and manage a cross functional core team to achieve customer deliverables from kick off to Mass Production.
· Minimum of Bachelor’s degree in Electrical or Mechanical Engineering or Computer Science
 
EEO Statement
Aivres is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Aivres to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Sr. Client Product Manager

<h3>Job Description</h3>
This is a long-term onsite role in Fremont, CA 94538. Mon-Fri Regular shift.
 
Looking for Documentation and Change Order (ECR/ECO) specialist responsible for the engineering change control process as part of PLM. Beyond generating and processing Change Orders, duties will include data mining, POC for change-related escalations, managing trackers, inter-department reports, and CIP activities in a high-paced environment.
 
Top Skills:
<ul>
<li>CAD Tools: NX, SolidWorks, or Creo</li>
<li>PLM Systems: Teamcenter, Enovia, Windchill, or Agile</li>
</ul>
 
Qualifications
<ul>
<li>Drafting using Siemens NX CAD</li>
<li>Change management using Teamcenter PLM</li>
<li>Ability to operate efficiently and effectively in a fast-paced environment</li>
<li>Thorough understanding of change management and configuration management practices</li>
<li>Ability to work required overtime to support manufacturing needs and requests from our customers.</li>
<li>Strong attention to detail and uncompromising dedication to quality</li>
<li>Superior verbal and written communication skills</li>
<li>Exceptional organization skills</li>
<li>Demonstrated analytical abilities with strong attention to detail</li>
<li>Excellent follow-through</li>
<li>Must be driven and self-motivated, as well as a team player</li>
<li>Ability to multitask and work well under pressure</li>
<li>Experience in resolving scheduling conflicts and accommodating last-minute changes with competing priorities.</li>
<li>Solid Microsoft Office Suite skills, especially in Excel (Pivot Tables, Vlookup, Formatting, Graphing), also MS Teams, PowerPoint, and Word</li>
<li>iPLM/SAP experience (preferred)</li>
<li>Team center and NX Experience (preferred)</li>
</ul>
 
Responsibilities:
<ul>
<li>Generates and manages Change Orders (CO) through closure</li>
<li>Performs documentation research for all parts/assemblies to be included in the Engineering Change Order to ensure accuracy, completeness, and adherence to change control policies/procedures and design drafting standards. Makes decisions, provides recommendations, and/or escalates based on the needs of the situation</li>
<li>Supports NPI PMs (New Product Introduction Program Managers) on a daily basis for Engineering Change Order activities</li>
<li>Interfaces with Engineers and Designers on design solutions for BOMs that align with lean manufacturing requirements</li>
<li>Responsible for aligning key collaborators to drive solutions in alignment with cutin strategies, E&amp;O, and effectivities</li>
<li>POC for Change Control processes in Engineering</li>
<li>Monitor and prioritize tasks to ensure efficient and timely change cut in</li>
<li>Process part numbers, bills of material, and change orders, which include preparation for the change control board, review for clarity, errors, proper approval routing, accuracy, and completeness</li>
<li>Track documents from initiation to final approval</li>
<li>Tracking and reporting on document review progress</li>
<li>Develop, track, and report key metrics</li>
<li>Generate and manage documentation in support of ISO standards, including revisions and releases</li>
<li>Update drawing from model changes</li>
<li>Support the engineering and design team on drawing and spec updates</li>
<li>Facilitate Design review meetings and act as a coordinator</li>
<li>Capture Key decisions, action items, and send detailed meeting minutes</li>
</ul>
 
Our Client is a Fortune 350 company that engages in the design, manufacturing, marketing, and service of semiconductor processing equipment.

PLM Documentation & Change Order Specialist

<h3>Job Description</h3>
Job Title: Java Developer
Location: Bay Area, CA (Hybrid)
Duration: Long-Term Contract (W2 only)
 
Job Description:
We are seeking a skilled and motivated Java Developer to join our software engineering team. The ideal candidate will be instrumental in designing, developing, and maintaining high-performance, scalable Java applications that require complex data management across both relational (SQL) and non-relational (NoSQL) databases.
<ul>
<li>Proven experience as a Java Developer, with 3-8 years of hands-on experience in software development.</li>
<li>Strong proficiency in Core Java and object-oriented programming (OOP) principles.</li>
<li>Extensive experience with Java frameworks, particularly the Spring ecosystem (Spring Boot, Spring MVC, Spring Data JPA).</li>
<li>Proficiency in database technologies, including writing complex queries for SQL (e.g., MySQL, PostgreSQL) and working knowledge of NoSQL databases (e.g., MongoDB).</li>
<li>Experience with building RESTful APIs and understanding microservices architecture.</li>
<li>Familiarity with version control systems (Git) and build tools (Maven/Gradle).</li>
<li>Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is preferred.</li>
</ul>

Java Software Engineer

<h3>Job Description</h3>
Staff Embedded Software Engineer
Palo Alto, CA (100% on-site)
Duration: initial 6 month contract
Pay: $85-89/hr
We are seeking a Senior Embedded Software Engineer to join our team, focusing on the software stack for Design Verification of PCBAs and ECUs in current and next-generation vehicle platforms, with a primary focus on the Connectivity &amp; Vehicle Access segment. In this role, you will develop device drivers for PCBA components, create software prototypes for early hardware-software co-designs, build validation test cases in Python/C, and contribute to the evolution of our embedded software ecosystem.
Key Responsibilities
<ul>
<li>Collaborate with hardware and software architects to design and define next-generation platform architectures using various SoCs and embedded software stacks.</li>
<li>Design, develop, and deploy embedded software on Linux and/or RTOS for board bring-up, verification, and debugging of automotive electronics.</li>
<li>Work across multiple disciplines to deliver high-quality code, debug complex issues, and prioritize tasks efficiently in a fast-paced environment.</li>
<li>Debug software and hardware issues in real-time, providing effective solutions and collaborating with multiple teams when needed.</li>
<li>Develop and maintain Linux build systems, device trees, and kernel drivers.</li>
<li>Communicate effectively with peers, stakeholders, technical leaders, customers, and OEMs/ODMs.</li>
</ul>
Qualifications
<ul>
<li>Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.</li>
<li>7+ years of experience in embedded software development.</li>
<li>Experience with Automotive Infotainment/Connectivity platforms, ideally including GNSS, UWB, RF, A2B, or Bluetooth Audio.</li>
<li>Strong programming skills in C/C++.</li>
<li>Solid understanding of Linux and/or RTOS fundamentals, including Board Support Packages (BSP), kernel configuration, device driver interfaces, and debugging tools.</li>
<li>Excellent debugging skills with the ability to solve issues across hardware and software stacks and collaborate across organizations.</li>
<li>Experience with tools such as Lauterbach, Oscilloscopes, JTAG, and Flashing Tools.</li>
</ul>
...

Staff Embedded Software Engineer

<h3>Job Description</h3>
Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations 
<ul>
<li>Design &amp; Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. </li>
<li>Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.</li>
<li>Data Security &amp; Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.</li>
<li>Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. </li>
</ul>
AI/ML Innovation &amp; Business Impact 
<ul>
<li>Develop &amp; Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. </li>
<li>Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.</li>
<li>Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.</li>
<li>Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. </li>
</ul>
Qualifications Your Experience 
<ul>
<li>7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.</li>
<li>Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.</li>
<li>Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.</li>
<li>Prior experience developing dashboards in Tableau/Looker or similar data viz platform.</li>
<li>Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.</li>
<li>Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).</li>
<li>A solid command of SQL for complex querying and data manipulation.</li>
<li>Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. </li>
</ul>
Preferred Qualifications 
<ul>
<li>Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.</li>
<li>Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.</li>
<li>Experience in evaluating and optimizing the performance of AI systems or agents.</li>
<li>Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. </li>
<li>An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. </li>
</ul>
Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at <a href="mailto:accommodations@paloaltonetworks.com" target="_blank">accommodations@paloaltonetworks.com</a>. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Staff Data Scientist, Full Stack

<h3>Job Description</h3>
Job Description
Summary of Position: 
Oversee and coordinate the planning, organizing, training and leadership necessary to achieve stated objectives in sales, costs, employee retention, guest service and satisfaction, food quality, cleanliness and sanitation.
Duties &amp; Responsibilities:
• Understand completely all policies, procedures, standards, specifications, guidelines and training programs.
• Ensure that all guests feel welcome and are given responsive, friendly and courteous service at all times.
• Ensure that all food and products are consistently prepared and served according to the restaurant’s recipes, portioning, cooking and serving standards.
• Achieve company objectives in sales, service, quality, appearance of facility and sanitation and cleanliness through training of employees and creating a positive, productive working environment.
• Control cash and other receipts by adhering to cash handling and reconciliation procedures in accordance with restaurant policies and procedures.
• Fill in where needed to ensure guest service standards and efficient operations.
• Continually strive to develop your staff in all areas of managerial and professional development.
• Prepare all required paperwork, including forms, reports and schedules in an organized and timely manner.
• Ensure that all equipment is kept clean and kept in excellent working condition through personal inspection and by following the restaurant’s preventative maintenance programs.
• Ensure that all products are received in correct unit count and condition and deliveries are performed in accordance with the restaurant’s receiving policies and procedures.
• Oversee and ensure that restaurant policies on employee performance appraisals are followed and completed on a timely basis.
• Schedule labor as required by anticipated business activity while ensuring that all positions are staffed when and as needed and labor cost objectives are met.
• Be knowledgeable of restaurant policies regarding personnel and administer prompt, fair and consistent corrective action for any and all violations of company policies, rules and procedures.
• Fully understand and comply with all federal, state, county and municipal regulations that pertain to health, safety and labor requirements of the restaurant, employees and guests.
• Develop, plan and carry out restaurant marketing, advertising and promotional activities and campaigns.
Qualifications:
• Be 21 years of age.
• Be able to communicate and understand the predominant language(s) of the restaurant’s trading area.
• Have knowledge of service and food and beverage, generally involving at least five years of front-of-the-house operations and/or assistant management positions.
• Possess excellent basic math skills and have the ability to operate a cash register or POS system.
• Be able to work in a standing position for long periods of time (up to 5 hours).
• Be able to reach, bend, stoop and frequently lift up to 50 pounds.
• Must have the stamina to work 50 to 60 hours per week.
Skills
· Excellent verbal and written communication
· Problem Solving
· Management
· Service orientation
· Active listening
· Social perceptiveness
Company DescriptionA small, fun, One Michelin Star-rated (2016, 2017 &amp; 2018) &amp; family-oriented restaurant in the heart of downtown Burlingame is seeking outgoing, professional, and hard-working individuals to become part of our team. Here at RASA, San Francisco Chronicle's acclaimed "Best Indian Restaurant in the Bay Area," we pride ourselves in excellent customer service as well as our use of organic produce, sustainable seafood, and natural and free-range poultry and meat in our dishes. We are currently looking for friendly and efficient team-players to fill our positions 
<h3>Company Description</h3>
A small, fun, One Michelin Star-rated (2016, 2017 &amp; 2018) &amp; family-oriented restaurant in the heart of downtown Burlingame is seeking outgoing, professional, and hard-working individuals to become part of our team. \r\n\r\nHere at RASA, San Francisco Chronicle's acclaimed "Best Indian Restaurant in the Bay Area," we pride ourselves in excellent customer service as well as our use of organic produce, sustainable seafood, and natural and free-range poultry and meat in our dishes. We are currently looking for friendly and efficient team-players to fill our positions

FOH Manager

<h3>Job Description</h3>
Job Description
Service Technician
Do you have what it takes to join one of the fastest growing pest control companies in the Bay Area?
We are a professional service company that provides excellent services to residential and commercial clients throughout the Bay Area. We are looking for highly motivated, and career oriented individuals to join our team and help grow our South Bay and Peninsula areas.
What do our Technicians do? Our Technicians provide superior full service to our clients by addressing their specific pest control needs and challenges. They treat every client like family and make every effort to improve their life at home and/or at work by maintaining a pest free environment utilizing their knowledge and training. This involves interacting with clients and understanding their unique needs to ensure they are fully satisfied with our services. Technicians are required to wear backpacks weighing up to 20 lbs while treating client's properties and/or yards.
What do you need? Pest Control Experience (Preferred) Pass pre-employment background, screen &amp; drug test Good driving record Excellent attention to detail and willing to learn High school diploma or GED
What do we offer? Commission on sales Medical, Dental &amp; Vision Paid Vacations, Holidays &amp; PTO Company Vehicle &amp; Gas card Uniforms
EOE M/F
Job Type: Full-time
Pay: $25.00 - $28.00 per hour
Benefits:
<ul>
<li>Dental insurance</li>
<li>Health insurance</li>
<li>Paid time off</li>
<li>Vision insurance</li>
</ul>
Compensation Package:
<ul>
<li>Commission pay</li>
</ul>
Schedule:
<ul>
<li>8 hour shift</li>
<li>Monday to Friday</li>
<li>Overtime</li>
<li>Weekends as needed</li>
</ul>
Education:
<ul>
<li>High school or equivalent (Required)</li>
</ul>
Experience:
<ul>
<li>Minimum: 1 year (Required)</li>
</ul>
Language:
<ul>
<li>Bilingual (Preferred)</li>
</ul>
License/Certification:
<ul>
<li>Pest Control License (Preferred)</li>
</ul>
Work Location: Multiple locations

49,005 Full Time Jobs in San Jose, CA, USA