דרושים Manager Iii Business Intel Amazon Last Mile Analytics ב-אמזון ב-הודו

Key job responsibilities

- 3+ years of non-internship professional software development experience
- 2+ years of Apple platform development experience
- 3+ years of programming with at least one software programming language experience
- Application development experience on iOS with swift and Kotlin

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

· Walk job sites in uneven terrain
· Work at heights and from ladders
· Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
· Bend or twist the body into unusual positions while working
· Push or pull heavy objects into position
· Work in noisy environments
Ability to work non-standard hours including nights and weekends.This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility.Related Military Ratings/MOSs
- Navy: AD, AE, AT, CE, CM, EM, EMN, ET, ETN, FC, FT, MM, MMN, EN, STG, STS, UT
- Army:15D, 15F, 15X, 15Y, 21P, 21Q, 21R, 31L, 35N, 52C, 52D, 52F
- Marines:612, 613, 1141, 1142, 1161, 6073, 6322, 6323, 6324, 6326, 6332, 6333, 6336, 6337
- Air Force: 3E531, 3E631, 3E032, 3E131, 3E331, 3E431, 2M033, 3D136, 3D137, 3E031Key job responsibilities
- Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
- Troubleshoot of facility and rack-level events within internal SLAs
- Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
- Provide support to Data Center Operations technicians
- Perform root cause analysis of equipment failures
- Ensure all safety procedures are adhered to while performing work
- Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
- Utilize internal CMMS to manage building workflows and spare part inventory
- Supervise contractors who perform servicing or preventive maintenance
- Respond to off hour emergency calls per on call rotation for any one of the region’s sites
- Fully comply with all physical security procedures and policies
- Drive innovation while reducing operational costs in the facilities
- Manipulate small wires and objects
A day in the life
After an initial training period, you will support data center infrastructure operations on a shift schedule supporting our 24/7 staffing model. You will get information from your peer technicians who are ending shift, review the maintenance schedule for any tasks due that day, and then perform routine physical checks of our critical systems. After these rounds are complete, you and your shift partner will perform preventative maintenance, troubleshoot technical issues, take repair actions, and perform facility maintenance. You will also author technical procedures, work orders, and work on advanced qualifications and projects as your career progresses at AWS!
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of maintenance experience on mechanical or electrical equipment
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Associate’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
- Data Center Operations Experience or experience operating electrical or mechanical systems in a mission critical environment (i.e. military, telecom, etc.)
- Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Experience with building management systems (BMS and EPMS control systems) and data collection/trending
- Operating engineering license(s) such as DC II, DC III, or equivalent, Electrical or mechanical Journeyman License, CFC license (Universal or minimum Type II), and/or NFPA 70E Cert

As a Business Intelligence Engineer, you'll be at the intersection of data and business strategy, translating complex requirements into actionable analytics solutions. You'll partner with stakeholders to unlock insights that elevate our global work authorization experiences and drive program scalability.Key job responsibilities
A successful candidate will demonstrate:Advanced SQL skills for writing complex queries and stored procedures to extract, transform, and analyze large datasets
Proficiency in Python, particularly with libraries like pandas and PySpark, for data manipulation and ETL processes
Strong analytical and problem-solving capabilities, with the ability to translate business requirements into efficient data solutions
Experience in designing and implementing scalable ETL pipelines that can handle large volumes of data
Expertise in data modeling and database optimization techniques to improve query performance
Ability to work with various data sources and formats, integrating them into cohesive data structures
Skill in developing and maintaining data warehouses and data lakes
Proficiency in using BI tools to create insightful visualizations and dashboardsExcellence in communicating technical concepts and data insights to both technical and non-technical audiences
A day in the life
You'll work closely with Product Managers, Software Developers, and business stakeholders to:
Perform deep-dive analyses to uncover actionable insights
Develop and automate data processes to improve efficiency
Present findings and recommendations to leadership

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

- Bachelor's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in designing and implementing custom reporting systems using automation tools

As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports.Key job responsibilities
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications.
• Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
• Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements
• Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap
• Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.
• Mentor Junior Research Analyst (RAs) and contribute to RA hiring

- • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- • Strong analytical thinking
- • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

- • Master's degree with specialization in ML, NLP or Computer Vision preferred
- • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

We're seeking an experienced Senior Software Development Manager to lead the onboarding team that is critical for developing capabilities that support 1.5 B documents per month across 100+ partner team on the document generation platform. In this role, you will lead the definition, and shepherd the development, of new features as well as important optimizations to the service. This role is a good fit for someone who thrives in a dynamic environment, is technical, who can work with multiple tech stakeholders to drive consensus towards long term tech product strategy.Key job responsibilities
• Lead and scale multiple engineering teams across complex, interdependent systems
• Drive innovation through AI, identifying and solving operational problems that unlock value to the customer
• Partner with senior leadership across Product, UX, and Engineering to align on strategic priorities and resource allocation
• Establish engineering excellence standards, operational metrics, and continuous improvement practices across teams
• Present technical strategy and progress to VP-level stakeholders with clarity and executive presenceA day in the life
Review and provide strategic guidance on major architectural decisions and system design proposals
· Mentor engineering managers and senior engineers on technical leadership and career development
· Communicate engineering progress and strategic recommendations to senior leadership
· Connect with tech partners to identify process/operational/tooling gap to identify opportunities to self-serve
· Partner with peers to negotiate resource allocation and coordinate large-scale initiatives

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Key job responsibilities
* Building, leading and developing a high performing team which owns a set of services end-to-end, from design to maintenance
* Working closely with internal customers
* Defining the strategy and product/technical roadmap* Providing on-call engineering support on a rotation every ~1-2 months
* Drive roadmap planning and goals prioritization through effective leadership mechanisms.A day in the life
Utilize strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. You will need to Think Big for continuous planning and use mechanisms that scale to meet the broad and diverse needs of teams across Amazon. You'll employ customer obsession serving customers' needs , continually improving experiences and productivity.

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers