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Publicis Sapient

<div>
 
 
 Job Purpose
 
 
 
 Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team's manual and automation efforts in an agile working environment.
 
 
 
 
 
 
 Experience Required: 4+- 7 years
 
 
 
 
 Role: Senior Quality Engineer
 
 
 
 
 Education: Full time Bachelor&rsquo;s/Master&rsquo;s engineering degree
 
 
 
 
 Non-Negotiable Skills
 
 -
 
 Java Coding, Selenium Testing, BDD, Cucumber, Rest Assured
 
 
 
 
 Only Looking for Immediate Joiner or Short Notice period(15 days- 30 days)
 
 
 
 
 
 
 
 Role Requirements Technical skills:
 
 
 
 
 Must Haves
 
 
 
 &bull; Experience with QE for distributed, highly scalable systems
 
 
 &bull; Good understanding of OOPS concepts and strong programming skills in Java, Groovy or JavaScript
 
 
 &bull; Hands on experience of working with at least one of GUI based test automation tools for desktop and/or mobile automation. Experience on multiple tools will be added advantage
 
 
 &bull; Proficient in writing SQL queries
 
 
 &bull; Familiarity with process of test automation tool selection &amp; test approach
 
 
 &bull; Experience in designing and development of automation framework and creation of scripts using best industry practices such as Page object model
 
 
 &bull; Integrate test suites into the test management system and custom test harness
 
 
 &bull; Familiar with implementation of design patterns, modularization, and user libraries for framework creation
 
 
 &bull; Can mentor team as well as has short learning curve for new technology
 
 
 &bull; Understands all aspects of Quality Engineering
 
 
 &bull; Understanding of SOAP and REST principles
 
 
 &bull; Thorough understanding of microservices architecture
 
 
 &bull; In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS
 
 
 &bull; Hands-on experience working with Postman or similar tool
 
 
 &bull; Hands-on experience in parsing complex JSON &amp; XML and data validation using serialization techniques like POJO classes or similar
 
 
 &bull; Hands-on experience in performing Request and Response Schema validation, Response codes and exceptions
 
 
 &bull; Good Understanding of BDD, TDD methodologies and tools like Cucumber, TestNG, Junit or similar.
 
 
 &bull; Experience in defining API E2E testing strategy, designing and development of API automation framework
 
 
 &bull; Working experience on build tools Maven / Gradle, Git etc.
 
 
 &bull; Experience in creating test pipeline &ndash; CI/CD Preferred: (Mostly for people being hired at the Senior Associate Career Stage)
 
 
 &bull; Possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar / expert in domains like retail banking, automobile, insurance, betting, food-markets, hotel industry, healthcare)
 
 
 &bull; Used /Exposure to automation tool for automating mobile applications
 
 
 &bull; Used /Exposure to automation tool for non-functional testing
 
 
 &bull; To setup test environment for execution on cloud environments such as Sauce labs, browser stack &bull; Knowledge of new tools (open source &amp; licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market
 
 
 &bull; Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber , Devops
 
 
 &bull; Knowledge and experience in service virtualization and tools like CA Lisa
 
 
 &bull; Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable
 
 
 &bull; Experience in test management tools like Xray &amp; Zephyr and integration of test framework with these tools
 
 
 &bull; Understanding of commonly used software design patterns like Builder, Factory, Singleton and Fa&ccedil;ade.
 
 
 
 
 
 
 Test Management: Must Haves
 
 
 
 &bull; Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques.
 
 
 &bull; Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities
 
 
 &bull; Well-versed with the most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently
 
 
 &bull; Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage)
 
 
 &bull; Mentored or coached at least one person
 
 
 &bull; Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc.
 
 
 &bull; Able to maintain and report test coverage matrix
 
 
 &bull; Able to identify device coverage for the application in question.
 
 
 &bull; Can devise regression testing approach
 
 
 
 
 
 
 Soft Skills:
 
 
 
 &bull; Possess excellent Communication skills (written, verbal both formal &amp; informal)
 
 
 &bull; Helps to create a positive, collaborative working environment for the team.
 
 
 &bull; Quick grasping and flexibility to adapt to new technologies/processes
 
 
 &bull; Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure
 
 
 &bull; Efficiently makes tough decisions and communicates them effectively.
 
 
 &bull; Independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.)
 
</div>

Senior Automation Engineer

Experian

<div>
 
 
 Company Description
 
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.co
 
 m
 
 
 
 
 
 Job Description
 
 
 
 
 
 Job description
 
 
 
 We are looking for a Senior QA Engineer to join our Ascend Cloud Foundation Platform team.
 
 
 
 Background:
 
 
 
 We unlock the power of data to create opportunities for consumers, businesses and society. At life&rsquo;s big moments &ndash; from buying a home or car, to sending a child to university, to growing a business exponentially by connecting it with new customers &ndash; we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity.
 
 
 We're looking for a Senior QA Engineer to join our team and help ensure the quality of our cloud-based applications. You&rsquo;ll bring a strong background in test automation, AWS batch processing, and large-scale backend systems, and thrive in agile environments. As a key member of the QA team, you&rsquo;ll contribute to test planning, develop automation frameworks, and collaborate closely with cross-functional teams to uphold high quality standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Participate in defining and executing test plans and strategies
 </li>
 <li>
 Design, develop, and maintain automated test scripts and frameworks
 </li>
 <li>
 Ensure comprehensive test coverage across functional, integration, regression, and performance testing
 </li>
 <li>
 Collaborate with developers, product managers, and DevOps to integrate quality throughout the SDLC
 </li>
 <li>
 Contribute to CI/CD pipeline integration for automated testing
 </li>
 <li>
 Support defect triaging and root cause analysis
 </li>
 <li>
 Advocate for best practices in testing, including shift-left approaches
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 Required Skills/ Experience:
 
 
 
 <ul>
 <li>
 5+ years of experience in Quality Assurance, with at least 1&ndash;2 years in a senior or advanced role
 </li>
 <li>
 Solid understanding of QA methodologies, agile testing, and SDLC practices
 </li>
 <li>
 Hands-on experience with automation tools such as Selenium, Cypress, or similar
 </li>
 <li>
 Familiarity with CI/CD tools like Jenkins or Bamboo
 </li>
 <li>
 Experience with API testing and SQL
 </li>
 <li>
 Working knowledge of AWS services such as Glue, S3, Step Functions, Lambdas, EventBridge, and SQS
 </li>
 <li>
 Proficiency in at least one programming/scripting language (e.g., Java, Python, Scala, JavaScript)
 </li>
 <li>
 Experience with BDD/TDD frameworks
 
 
 </li>
 </ul>
 
 Advantageous Experience:
 
 
 
 <ul>
 <li>
 Experience with Big Data testing
 </li>
 <li>
 Mentor Junior QA engineers
 </li>
 <li>
 Proficiency in SQL and Data validation
 </li>
 <li>
 Knowledge of Performance Testing tools
 </li>
 <li>
 Familiarity to AI/ML Model Testing
 </li>
 <li>
 Basic understanding of security testing
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 
 Additional Information
 
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Global Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 
 
 Benefits
 
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior QA Engineer

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Data Quality Engineering Support: (Manager, Data Operations &amp; Management)
 
 
 
 As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Data Quality Engineering &amp; Monitoring:
 
 
 <ul>
 <li>
 Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
 </li>
 <li>
 Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
 </li>
 <li>
 Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).
 </li>
 </ul>
 
 
 
 
 
 Data Quality Operations:
 
 
 <ul>
 <li>
 Respond to and resolve data quality incidents and discrepancies across data domains and systems.
 </li>
 <li>
 Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
 </li>
 <li>
 Establish SLAs and alerting thresholds for data quality KPIs.
 </li>
 <li>
 Cloud Platform Integration
 </li>
 <li>
 Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
 </li>
 <li>
 Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.
 </li>
 </ul>
 
 
 
 
 
 Governance Alignment:
 
 
 <ul>
 <li>
 Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
 </li>
 <li>
 Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
 </li>
 <li>
 Documentation, Enablement &amp; Collaboration
 </li>
 <li>
 Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
 </li>
 <li>
 Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
 </li>
 <li>
 Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.
 </li>
 </ul>
 
 
 
 
 
 Hands-on expertise in:
 
 
 <ul>
 <li>
 Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
 </li>
 <li>
 SQL and Python for quality validation and automation
 </li>
 <li>
 Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
 </li>
 <li>
 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
 </li>
 <li>
 Strong troubleshooting skills across distributed data systems and pipelines.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
 </li>
 <li>
 Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
 </li>
 <li>
 Exposure to AI/ML data pipelines and the impact of data quality on model performance.
 </li>
 <li>
 Current GCP Associates (or Professional) Certification.
 </li>
 </ul>
 
 
 
 
 
 Work location: Hyderabad, India
 
 
 
 
 Work pattern: Full time role.
 
 
 
 
 Work mode: Hybrid.
 
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Manager, Data Operations & Management [T500-20082]

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20127]

Amazon

<div>
 
 Description
 
 
 
 Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring a positive customer experience? This is the job for you.
 
 
 Amazon Financial Technology Team is looking for a results-oriented, driven software development engineer, who can help us create the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. We need someone to design and develop services that facilitate global financial transactions worth billions (USD) annually.
 
 
 A Software Development Engineer (SDE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many rapidly growing organizations.
 
 
 You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.
 
 
 
 In This Role You Will
 
 
 
 Deliver a Best-in-Class customer experience by continuously improving platform, code and services that enable receivables globally
 
 
 Build services/integration for Financial Applications
 
 
 Design and Develop Best integration patterns for our system. Leverage and integrate with different tools, technologies and products within Amazon to reduce operational cost and enhance customer experience
 
 
 Partner directly with other Software Development Engineers (SDEs), Technical Program Managers, Functional Analysts and Customers to understand features and continuously identify opportunities to build and deploy software solutions.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Define high level and low level design for software solutions using the latest AWS technology in a large distributed environment.
 </li>
 <li>
 Take the lead on defining and implementing engineering best practices and using data to define and improve operational best practices.
 </li>
 <li>
 Help drive the architecture and technology choices for FinTech accounting products.
 </li>
 <li>
 Design, develop and deploy medium to large software solutions for Amazon accounting needs.
 </li>
 <li>
 Raise the bar on code quality, including security, readability, consistency, maintainability.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 Experience programming with at least one software programming language
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 </li>
 <li>
 Bachelor's degree in computer science or equivalent
 
 
 </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 13 SEZ
 
 
 Job ID: A2816879
</div>

Software Development Engineer II, Amazon

Microsoft

<div>
 The Microsoft 365 India team is focused on redefining productivity on mobile, bringing the best of the rich content models of Word, Excel, and PowerPoint along with a host of mobile optimized experiences targeting creation, consumption, and collaboration. We have strong momentum with more than 100M using the application. We are working to make this app to be truly centered around the user, scaling across their multiple digital identities to let them be in control and be productive all the time. Achieving this requires faster experimentation and strong quality of experience. As we embark on our next rung of growth, we are looking to hire passionate, purposeful, and gritty
 
 Senior Software Engineers
 
 who espouse a deep learning and a can-do attitude towards achieving success.
 
 
 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>
 Design, implement, and lead a feature area with a team of 2-5 engineers.
 </li>
 <li>
 Engineer features with strong attention to performance, robustness, and resource usage.
 </li>
 <li>
 Work independently and collaboratively within and across product teams (across global development centers).
 </li>
 <li>
 Data driven to keep the quality and reach of the product high.
 </li>
 <li>
 Agile in scaling across both Android and iOS platforms driving coherence in design.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience.
 </li>
 <li>
 Excellent coding skills in Java / C++ / C# / Swift.
 </li>
 <li>
 Proven skill in software feature design, debugging, performance analysis, and experimentation.
 </li>
 <li>
 Excellent problem solving skills and computer science basics.
 </li>
 <li>
 Excellent interpersonal, verbal, and written communication skills.
 </li>
 <li>
 Knowledge and depth in Android / iOS platform, Kotlin or Swift experience are significant plus.
 </li>
 <li>
 BS or MS in Computer Science or equivalent.
 
 
 </li>
 </ul>
 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>

Senior Software Engineer

LTIMindtree

<div>
 
 Role : Python Developer
 
 
 Experience - 5 years to 8 years
 
 
 Location - Hyderabad only
 
 
 
 
 
 Strong Python and SQL knowledge
 
 
 5 years hands on experience as a data engineer data software architect or advanced BI analyst
 
 
 Strong work ethic collaboration and communication skills
 
 
 4 Years of experience with written and verbal communication with stakeholders in past roles
 
 
 Some familiarity with cloud architecture
 
 
 2 years of experience within AWS Azure or Google cloud environments
 
 
 Nice to Have Skills Preferred Requirements
 
</div>

Python Developer

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