דרושים Technical Writer - Builder Experience Success ב-אמזון ב-India, Telangana, Hyderabad

Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.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.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.In this role, you will bridge hardware and systems engineering with hands-on lab and test development capabilities. You will lead the design, build, and deployment of test hardware across Kuiper’s vehicle integration venues, contribute to infrastructure planning, and directly support ground systems involving RF, networking, mechanical interfaces, and electrical systems. The ideal candidate brings a strong foundation in electrical engineering, is comfortable in hands-on lab environments, and can work across teams to scale test operations in a fast-paced development and production settings.
Key job responsibilities
- Architect, design, and implement test rack and bench-top hardware platforms to support satellite integration and test
- Lead interdisciplinary technical efforts spanning RF, networking, mechanical integration, and test equipment automation
- Develop, maintain, coordinate electrical ground support & test equipment (i.e. EGSE, etc) for integrated vehicle testing
- Integrate RF instrumentation, power distribution systems, sensors, and embedded components into test infrastructure
- Write and execute test procedures, verification plans, and commissioning documentation- Support routine validation of satellite systems during development and production campaigns
- Provide mentorship to junior engineers and technicians on lab processes and best practices
- Support and maintain lab infrastructure, including: Ubuntu/Windows systems, Cisco networking equipment and networking automation infrastructure, ethernet/fiber/coax wiring.About the team
The Integrated Vehicle Test team is responsible for delivering functional spacecraft to orbit to ensure Kuiper’s mission success. We do so through development of advanced test systems and execution of test campaigns that help guarantee reliable operation of satellite vehicles in space. The tasks and daily focus change rapidly, and you will often take on exciting new responsibilities to ensure project success. Expect to be deployed to address complex problems by identifying the scope of the issue and quickly establishing innovative and functional solutions.

- Bachelor’s degree in Electrical Engineering, Aerospace Engineering, or related technical field
- 5+ years of professional experience in hardware or systems development roles in aerospace, automotive, or high-reliability electronics environments
- Strong understanding of electrical and systems test fundamentals, signal integrity, and test instrumentation
- Hands-on experience with lab setup, test rack integration, and support of large systems
- Proficiency with Ubuntu/Linux system configuration, netplan, and basic scripting (Python or equivalent)
- Familiarity with Cisco switch configuration (CLI, VLANs, basic routing)
- Working knowledge of RF signal chains and components (e.g., attenuators, filters, VNAs)
- Strong mechanical aptitude for lab assembly and hardware integration
- Capable of lifting 50 lbs, performing manual lab work, and working on ladders.

- 5+ years developing automated test infrastructure for aerospace or satellite systems
- Familiarity with basic electrical/RF and lab instrumentation: VNA, VSA, Sig Gens, PSU, data acquisition, SCPI, API ctrl via Python, etc.
- Familiarity with GEVS, SMC-S-016, or similar space hardware test standards
- Experience with integration of high-speed digital interfaces and RF systems in test environments
- Certification in Network+ or CCNA or similar preferred (not required)
- Experience with Jira, Confluence, or lab documentation tools
- Experience with LabVIEW, MATLAB, or custom DAQ solutions
- Experience supporting transition to production and scale-up in manufacturing environment

Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.A day in the life
As a member of the Delivery Foundation Model team, you’ll spend your day on the following:
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference- Conduct experiments and prototype new ideas

- PhD or Master's degree and 8+ years of applied machine learning experience.
- Experience designing novel deep learning model architectures, building models from scratch
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
- Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry
- Extensive track record of leading technical projects
- Experience mentoring junior scientists / engineers.

- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience owning/driving roadmap strategy and definition

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

This role requires the flexibility to work 5 days a week (occasionally on weekends) on a rotational basis. AWS Support is 24x7x365 operations and work timings for this role is in India night time i.e. 7 PM to 4 AM IST or 11 PM to 8 AM IST. You are expected to work in night shifts hours based on business requirements.Key job responsibilities
Key expectations of the AWS India Support Manager include:
• Manage the day-to-day operations of the shift, ensuring the team in India is staffed and SLA commitments are met.
• Drive personnel management ensuring the engineers have what they need to provide best-in-class support.
• Participate in Hiring Process to hire and build/grow team of Support Engineers in India.
• Influence Sr. Support Engineers and development teams to improve the customer support experience.
• Propose, drive, and implement initiatives within the support organization to maximize the customer support experience.
• Managing the engineers in the team effectively to keep their focus on the customers as well as develop their own career.
• Handle escalations and guide engineers to the proper teams by diving deep into the problem.
• Drives effective business and technical discussions.A day in the lifeAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.
Mentorship & Career Growth - 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.

- Experience hiring candidates, mentoring and developing employees in their careers
- Bachelors/Master’s degree in Information Technology/Computer Science/Any engineering domain. 9+ years of experience in Information Technology. Out of which, 2+ years of experience in managing team as manager.
- Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure.
- Experience in data analysis and leveraging analytics to make decisions.
- Ability to understand service architecture and operational parameters, to effectively manage and handle complex escalations.

Key job responsibilities
- Designing and delivering solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations.
A day in the life
About AWSDiverse Experiences
AWS 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.Mentorship & Career Growth
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.Work/Life Balance

- Experience coding in Python, R, Matlab, Java or other modern programming language
- Experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)
- Basic understanding of deep learning (e.g., CNN, RNN, LSTM, Transformer), Large Language Models, Large Multimodal Models and other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies

- Strong working knowledge of deep learning, machine learning and statistics
- Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 or other large scale cloud providers‘ services
- Experiences related to Large Language Models, Large Multimodal Models or other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts

Key job responsibilities- You will have end to end ownership of cross-functional projects, including product definition, roadmap planning, and resource planning and project execution.
- Along with business initiatives, you will also lead the definition and execution of strategic projects aimed at reducing the total cost and time to market for launch.- At the heart of this role is delivery. You will be hands-on in driving the delivery of critical business initiatives, managing all aspects of the project such as project planning, requirements definition, risk management, communication, and implementation planning.
- You will be a technical problem solver on the team, identifying innovative solutions to project deadlocks and resolving issues and constraints through consensus and sound judgment.
- You will be responsible for making project decisions, achieving tactical goals while retaining a strategic focus.
- You will work closely with the development teams and play a leadership role in product architecture and design.

- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Bachelor's degree in engineering, computer science or equivalent

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership