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data center engineering operations engineer, hyd-infinity - dceo Jobs in Hyderabad

data center engineering operations engineer, hyd-infinity - dceo

data engineer

engineering manager

project engineer

data center engineering operations engineer hyd infinity dceo

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
 You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;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&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 
 
 Amazon is expanding the Data Center management team in India. This position serves as the primary operational resource to support ADSIPL within its owned and operated Data Centers in India. This position will provide a central point of ownership and accountability for the overall &lsquo;hands-on&rsquo; management of the Mechanical, Electrical (M&amp;E) and across ADSIPL&rsquo;s portfolio of Data Centers in India. This position will be responsible for the overall operation and maintenance of the critical infrastructure supporting IT operations within the Indian Data Center space. It will also include event management, incident management, problem management, change management, and cost/contract management. In addition, this will include the relationship management with the landlords, critical facility vendors, Data Center Construction team, Data Center Operations team, Technical Program Managers, Security team, and Logistics team in India. The position will require 24x7 on-call, scheduled weekend work support and rotational shift. The location for this job to be discussed, as there may be opportunities in several India locations.
 
 
 Key job responsibilities
 
 
 Following are the primary responsibilities (but not limited to) of Data Center Engineering Operations (DCEO) Engineer:
 
 
 
 Operations And Maintenance
 
 
 
 <ul>
 <li>
 Ownership of all Data Center changes/events/incidents/problems from beginning to end as well as overseeing the completion of post-mortems, root cause analysis and follow-up resolution actions.
 </li>
 <li>
 Responsible for ensuring maintenance/ repairs of site-critical facility infrastructure or a Data Center are planned and executed to the best interest of the business.
 </li>
 <li>
 Responsible for Asset and Inventory management.
 </li>
 <li>
 Develop and maintain method statements, standard operating procedures, emergency response procedures, preventive maintenance programs, and all technical documentation.
 </li>
 <li>
 Ensure standardization and consistency with best-in-class operating practices. (Technical Writing Skills and Automation)
 </li>
 <li>
 Develop a complete, deep knowledge of the design intent, operational alternatives and contingency plans related to all Data Center systems.
 </li>
 <li>
 Manage the engineering aspects of the Data Centers related to financial and cost control, code and regulatory compliance, personnel management, staff training and development
 </li>
 <li>
 Health &amp; Safety, local statutory requirements, environmental and energy management.
 </li>
 <li>
 Develop and deliver the regular engineering reports and ensure adherence to contracted deliverables including SLA&rsquo;s and KPI&rsquo;s.
 </li>
 <li>
 Communicate operating philosophies, technical information, objectives and expectations to Amazon personnel and to the vendor critical facilities management teams.
 </li>
 <li>
 Providing hands on facility support where required (e.g. installation of new equipment, decommissioning of equipment, replacement of faulty equipment, internal audits&hellip;etc.)
 </li>
 <li>
 Oversee technical compliance auditing and the effective and timely close out of corrective action plans. Perform annual operational reviews with a focus on compliance with the Amazon standards and all applicable regulatory requirements. (Audits).
 </li>
 <li>
 Manage the development and delivery of the portfolio of Energy/Environmental Management Programs. Keep abreast of Data Center industry innovation.
 
 
 </li>
 </ul>
 
 Incident And Emergency Response
 
 
 
 <ul>
 <li>
 Reviewing incident reports, documenting periodic trend summaries, and providing updates and recommended actions to management.
 </li>
 <li>
 Managing information flow during incidents while providing regular updates to management.
 </li>
 <li>
 Manage and coordinate with vendors to resolve any incidents during emergency situations. This may require to physically be dispatched on to site to investigate and resolve the issue.
 </li>
 <li>
 Ensure 24*7 shift operations in safe, secure manner without availability impact.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA).
 
 
 <ul>
 <li>
 Perform rack installs, rack decommissioning, and facility management.
 </li>
 <li>
 Provide operational readings and key performance indicators to make sure uptime is maintained.
 </li>
 <li>
 Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures &amp; local legislation.
 </li>
 <li>
 Perform and oversee maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
 </li>
 <li>
 Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture
 
 
 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
 
 
 Work/Life Balance
 
 
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 Mentorship &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 </li>
 <li>
 High school or equivalent diploma
 </li>
 <li>
 1+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.), or 1+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience
 </li>
 <li>
 Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
 </li>
 <li>
 - At least one years of experience in a technical field. An undergraduate degree(Degree or diploma) in a technical field (EE, Mech E, Industrial E);
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADSIPL - Telangana
 
 
 Job ID: A3109929
</div>

Data Center Engineering Operations Engineer, HYD-Infinity - DCEO

<div>
 
 Company Description
 
 
 
 
 WNS (Holdings) Limited (NYSE: WNS)
 
 , is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.
 
 
 We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.
 
 
 
 Job Description
 
 
 
 Good Communication Skills (Written) Typing Speed of 25 WPM + 90% Accuracy. Should be able to work in Shifts. Should be ok to work from Office in HYD. No prior work experience required .Also, Preferably with experience in Shipping and Logistics / Back Office Understanding its nuances.
 
 
 
 Qualifications
 
 
 
 Graduate - any stream
 
 
 
 Additional Information
 
 
 
 Freshers can apply
</div>

Associate - Operations

Brace Infotech Private Ltd

<div>
 
 Looking for Immediate Joiners
 
 
 
 
 
 Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.
 
 
 &middot; Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
 
 
 &middot; Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
 
 
 &middot; Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
 
 
 &middot; Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
 
 
 &middot; Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
 
 
 &middot; Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.
 
 
 Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
 
 
 &middot; Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
 
 
 &middot; Proven experience in data analysis, statistical modeling, and machine learning.
 
 
 &middot; Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
 
 
 &middot; In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
 
 
 &middot; Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
 
 
 &middot; Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.
 
 
 &middot; Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.
 
 
 &middot; Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.
 
</div>

Data Scientist

Amazon

<div>
 
 Description
 
 
 
 AI is the most transformational technology of our time, capable of tackling some of humanity&rsquo;s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
 
 
 We are looking for those candidates who just don&rsquo;t think out of the box, but make the box they are in &lsquo;Bigger&rsquo;. The future is now, do you want to be a part of it? Then read on!
 
 
 This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Maintain and follow strict confidentiality as customer privacy is our most important tenet
 </li>
 <li>
 Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
 </li>
 <li>
 Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
 </li>
 <li>
 Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
 </li>
 <li>
 Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
 </li>
 <li>
 Eye for detail and ability to pivot from one category of requirement to another instantaneously.
 </li>
 <li>
 Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
 </li>
 <li>
 Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
 </li>
 <li>
 Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
 </li>
 <li>
 Demonstrate ownership in floor support to clarify internal queries during execution on need basis
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 An Associate&rsquo;s Degree or related work experience
 </li>
 <li>
 Strong business writing skills with ability to create reports, proposals, and professional correspondence
 </li>
 <li>
 Advanced reading comprehension with ability to analyze complex business documents
 </li>
 <li>
 Developed analytical thinking and structured problem-solving capabilities
 </li>
 <li>
 Strong ability to interpret and implement detailed instructions across various projects
 </li>
 <li>
 Proficient research skills with experience gathering and synthesizing information from multiple sources
 </li>
 <li>
 Proven attention to detail in managing complex tasks and documents
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field May vary in other locations like India
 </li>
 <li>
 C1+ or equivalent fluency in English language
 </li>
 <li>
 6 months to 1 year of professional work experience with demonstrated task execution ability
 </li>
 <li>
 Proven capacity to leverage open-source resources effectively for comprehensive research purposes
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 </li>
 <li>
 Project coordination or management experience
 </li>
 <li>
 Experience managing stakeholder relationships across departments
 </li>
 <li>
 Advanced proficiency in Microsoft Office Suite and common business applications
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3113525
</div>

ML Data Associate-II

<div>
 
 Description
 
 
 
 Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
 
 
 <ul>
 <li>
 Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
 </li>
 <li>
 Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
 </li>
 <li>
 Performing audits and quality checks of tasks completed by other specialists, if required
 </li>
 <li>
 Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
 </li>
 <li>
 Diving deep into issues and implementing solutions independently
 </li>
 <li>
 Identifying and reporting tooling bugs and suggesting improvements
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field or equivalent professional experience
 </li>
 <li>
 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
 </li>
 <li>
 Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
 </li>
 <li>
 Excellent attention to details and ability to focus for a long period of time
 </li>
 <li>
 Ability to effectively write and evaluate diverse subject matter across various domains*
 </li>
 <li>
 Ability to adapt writing style to suit various style guidelines and customers.
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
 </li>
 <li>
 Experience with creating complex data for LLM training and evaluation
 </li>
 <li>
 Strong understanding of U.S.-based culture, society, and norms.
 </li>
 <li>
 Comfortable with high-school level STEM*
 </li>
 <li>
 Familiarity with common markup languages such as HTML, XML, Markdown
 </li>
 <li>
 Familiarity with common standard text formats such as JSON, CSV, RTF
 </li>
 <li>
 Working knowledge of Python or another scripting language
 </li>
 <li>
 Familiarity with regular expressions syntax
 </li>
 <li>
 Familiarity with Large Language Models
 </li>
 <li>
 Comfort in annotation work that may include sensitive content
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3105155
</div>

AI Content Expert

Microsoft

<div>
 Azure is one of the fastest growing businesses in Microsoft&rsquo;s history and is the foundation of Microsoft&rsquo;s commercial Cloud Services. Azure differentiates itself as the only hyper-scale, enterprise-grade cloud with a true hybrid story. Customers and analysts recognize Azure&rsquo;s tremendous momentum which continues month over month.  Microsoft Azure&rsquo;s core priority is to be world's most trusted, secure, and global cloud and a great place for people to work. We are part of the Azure Networking team responsible for designing, building, and operating the most reliable cloud network in the world - Azure.
 
 
 We are looking for a passionate, high-energy individual to help build the network that powers the world&rsquo;s largest online services. For this position, the candidate should be familiar with network protocols, network devices including network interface cards, switches, and routers. You should feel comfortable working with large-scale distributed systems, in managing the network infrastructure that supports the Azure Cloud infrastructure as well as in designing and building the large-scale distributed systems that manage the network.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Contribute to testing and validation of network devices and assist in managing network deployments within a team of engineers.
 </li>
 <li>
 Provide instructions to data center or network site technicians on repairing, replacing, and maintaining physical network hardware in production environments.
 </li>
 <li>
 Seek mentorship, feedback, and coaching to continuously improve technical skills and professional growth.
 </li>
 <li>
 Develop foundational knowledge of network technologies to support design, implementation, and operational decisions.
 </li>
 <li>
 Assist in designing reliable, scalable, and high-performance network features or components under guidance from senior engineers.
 </li>
 <li>
 Support the creation of Bills of Materials (BoMs) and help translate high-level infrastructure designs into actionable low-level plans.
 </li>
 <li>
 Monitor network telemetry and perform basic failure analysis, while identifying process or tooling deficiencies and proposing improvements with guidance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 2+ years technical experience in network design, development, and automation
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology,
 </li>
 <li>
 OR related field AND 2+ years technical experience in network design, development, and automation
 </li>
 <li>
 OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology,
 </li>
 <li>
 OR related field.
 </li>
 </ul>
 <li>
 2+ years of experience in the networking Industry or large-scale data center network.
 </li>
 <li>
 1+ years experience working with L2/L3 switching platforms, and knowledge of network protocols like BGP, ISIS, MPLS, OSPF, VRRP, LACP, Traffic Engineering and their use.
 </li>
 <ul>
 <li>
 Troubleshooting basic problems of BGP, ISIS , MPLS etc in large ISP/Carrier/Data Center network.
 </li>
 <li>
 Knowledge of Datacenter Design (Control plane &amp; Data Plane) &amp; Operations
 </li>
 </ul>
 <li>
 1+ years experience working in large scale data center/cloud environment with an understanding of passive components (UTP Cabling, Optical cabling).
 </li>
 <li>
 1+ years experience in one or more programming languages: C++, Java, Python, Perl.
 </li>
 <li>
 1+ years xperience in understanding and authoring machine readable formats like XML, JSON.
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 1+ years experience in debugging and troubleshooting deep network issues and drafting root cause analysis reports.
 </li>
 <li>
 Excellent communication skills and team player with ability to build solid relationships at all levels, across teams, geographies, and business functions.
 </li>
 <li>
 Networking certification will be a plus.
 
 
 </li>
 </ul>
 
 Other Qualifications
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
 </li>
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 </li>
 </ul>
 </ul>
 #azurecorejobs
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Cloud Network Engineer

Procter & Gamble

<div>
 
 Job Location
 
 
 
 HYDERABAD OFFICE INDIA
 
 
 
 Job Description
 
 
 
 
 Are you looking to take your career to the next level?
 
 
 
 We&rsquo;re looking for a Junior Software Engineer to join our Data &amp; Analytics Core Data Lake Platform engineering team. We are searching for self-motivated candidates, who will demonstrate modern Agile and DevOps practices to craft, develop, test and deploy IT systems and applications, delivering global projects in multinational teams.
 
 
 P&amp;G Core Data Lake Platform is a central component of P&amp;G data and analytics ecosystem. CDL Platform is used to deliver a broad scope of digital products and frameworks used by data engineers and business analysts. In this role you will have an opportunity to use data engineering skills to deliver solutions enriching data cataloging and data discoverability for our users. With our approach to building solutions that would fit the scale P&amp;G business is operating, we combine software engineering standard methodologies (Databricks) with modern software engineering standards (Azure, DevOps, SRE) to deliver value for P&amp;G.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Writing and testing code for Data &amp; Analytics applications and building E2E cloud native (Azure) solutions.
 </li>
 <li>
 Engineering applications throughout its entire lifecycle from development, deployment, upgrade, and replacement/termination
 </li>
 <li>
 Ensuring that development and architecture carry out to established standards, including modern software engineering practices (CICD, Agile, DevOps)
 </li>
 <li>
 Collaborate with internal technical specialists and vendors to develop final products to improve overall performance, efficiency and/or to enable adaptation of new business processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or related technical field.
 </li>
 <li>
 4+ years of experience working as Software Engineer (with focus on developing in Python, PySpark, Databricks, ADF)
 </li>
 <li>
 Fullstack engineering experience (Python/React/Javascript/APIs)
 </li>
 <li>
 Experience demonstrating modern software engineering practices (code standards, Gitflow, automated testing, CICD, DevOps)
 </li>
 <li>
 Experience working with Cloud infrastructure (Azure preferred)
 </li>
 <li>
 Strong verbal, written, and interpersonal communication skills.
 </li>
 <li>
 A strong desire to produce high quality software through multi-functional teamwork, testing, code reviews, and other best practices.
 
 
 </li>
 </ul>
 
 You Also Should Have
 
 
 
 <ul>
 <li>
 Strong written and verbal English communication skills to influence others
 </li>
 <li>
 Proven use of data and tools
 </li>
 <li>
 Ability to prioritize multiple priorities
 </li>
 <li>
 Ability to work collaboratively across different functions and geographies
 
 
 </li>
 </ul>
 We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
 
 
 "At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000134973
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Python Software Engineer

Explore 139+ Data center engineering operations engineer hyd infinity dceo in Hyderabad this November. Find roles across top companies and apply now to boost your career.