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devops architect

Dun & Bradstreet

<div>
 
 Why We Work at Dun &amp; Bradstreet
 
 
 
 Dun &amp; Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers .
 
 
 
 Director &ndash; Data Engineering (Hyderabad)
 
 
 
 We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering function from Hyderabad. This leadership role is pivotal in shaping our enterprise data strategy, driving platform innovation, and delivering scalable data solutions. You will be responsible for building and managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, secure, and governed data platforms.
 
 
 The ideal candidate will bring deep expertise in data engineering domains such as ingestion, mastering, data mapping, data products, observability, governance, and security, along with a strong grasp of end-to-end platform development including UI, APIs, orchestration, and data processing.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leadership &amp; Strategy: Define and drive the data engineering vision, strategy, and roadmap aligned with business goals. Lead and mentor a team of data engineers, architects, and analysts across multiple projects. Foster a culture of innovation, accountability, and continuous improvement.
 </li>
 <li>
 Platform Development: Architect and oversee the development of scalable data platforms using modern tech stacks. Ensure seamless integration across UI, APIs, orchestration layers, and data processing pipelines.
 </li>
 <li>
 Data Engineering Excellence: Own and optimize data ingestion, mastering, mapping, and transformation processes. Drive the creation and management of reusable data products and services.
 </li>
 <li>
 Governance &amp; Security: Implement robust data governance frameworks ensuring compliance and data quality. Champion data security best practices across the platform.
 </li>
 <li>
 Operational Excellence: Establish data observability practices for proactive monitoring and issue resolution. Collaborate with DevOps and SRE teams to ensure platform reliability and scalability.
 </li>
 <li>
 Stakeholder Management: Partner with business, product, and technology leaders to align data initiatives with strategic priorities. Communicate effectively with executive leadership, translating technical concepts into business value.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Experience &amp; Expertise: 12+ years of experience in data engineering, with at least 3&ndash;5 years in leadership roles. Proven track record of building and scaling data platforms in cloud-native environments.
 </li>
 <li>
 Technical Skills: Strong background in Apache Spark, Airflow, Python, FastAPI, and Google Cloud Platform (GCP). Deep understanding of data architecture, data modeling, ETL/ELT pipelines, and orchestration frameworks.
 </li>
 <li>
 Leadership &amp; Communication: Demonstrated ability to lead cross-functional teams and manage senior stakeholders. Excellent communication, presentation, and interpersonal skills.
 </li>
 <li>
 Location-Specific Attributes: Familiarity with the Hyderabad tech ecosystem and ability to attract and retain top talent. Comfortable working in a hybrid or onsite leadership capacity from our Hyderabad office.
 
 
 </li>
 </ul>
 All Dun &amp; Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb . Official communication from Dun &amp; Bradstreet will come from an email address ending in @dnb.com.
 
 
 Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy , which governs the processing of visitor data on this platform.
</div>

Director (R-18372)

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

PepsiCo

<div>
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
</div>

Data Science Assoc Analyst

Microsoft

<div>
 Do you want to build new Azure services from ground up? Does working on Open Source software excite you? If yes, please join us!
 
 
 We are staffing a team of strong engineers to design, build and operate new managed services for developers, based on the best Open Source software, in close cooperation with the 3rd party companies. We are looking for engineers who thrive in dynamic, fast-paced environments, and value healthy working environment where open, diverse, respectful, care, support are the culture. We expect engineers to write high-quality code, and own test and the DevOps lifecycle.
 
 
 
 Responsibilities
 
 
 
 Responsibilities for this role include different aspects of building an Azure service - such as prototyping, developing resource provider,  authoring Azure portal extensions, building integration data plane, handling live site issues, driving security compliance etc. You will have opportunities to work across the stack to build new Azure services.
 
 
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 BA/BS or MS Degree in Computer Science or equivalent experience.
 </li>
 <li>
 2 years of coding experience in a modern programming language such as C#, C++, or Go, Python
 </li>
 <li>
 One-year experience in building, shipping and operating reliable, distributed solutions
 </li>
 <li>
 Strong technical and problem-solving skills
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience working in Linux environment.
 </li>
 <li>
 Experience working with open source projects
 </li>
 <li>
 Self-driven, can work independently and is capable of dealing with ambiguities
 </li>
 <li>
 Experience with Docker and DevOps tools such as Kubernetes, DC/OS, Docker Swarm
 </li>
 <li>
 Experience with cloud infrastructure such as Azure or AWS
 </li>
 <li>
 Experience in site-reliability engineering practices.
 </li>
 <li>
 Experience working with Resource provider, Azure portal, Azure Security and compliance of existing Azure services is a big plus
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 <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>
 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>

Software Engineer

Verizon

<div>
 When you join Verizon
 
 
 You want more out of a career. A place to share your ideas freely &mdash; even if they&rsquo;re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love &mdash; driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together &mdash; lifting our communities and building trust in how we show up, everywhere &amp; always. Want in? Join the #VTeamLife.
 
 
 
 What You&rsquo;ll Be Doing...
 
 
 
 Value segment is about multi brands prepaid segment handles projects related Prepaid sales and service experience with the order management in Verizon Consumer Group. You&rsquo;ll be responsible for developing highly efficient and reliable applications.
 
 
 <ul>
 <li>
 Executing full software development life cycle (SDLC) &ndash; concept, design, build, deploy, test, release and support.
 </li>
 <li>
 Ensuring application development sprint cycle is on track and adjusting the plan to meet release timelines.
 </li>
 <li>
 Acting independently, at the same time displaying excellent collaboration within and between various teams.
 </li>
 <li>
 Understanding the domain knowledge and adapting to an agile environment.
 </li>
 <li>
 Building reusable code and libraries for future use
 </li>
 <li>
 Rapidly iterate on product and platform features by quickly understanding requirements and producing good quality code
 </li>
 <li>
 Be a subject matter expert by identifying technology trends and collaborate with other team members to make recommendations based on the company&rsquo;s needs
 </li>
 <li>
 Be involved in all stages of development, from product ideation through architecture and execution
 </li>
 <li>
 Help evolve the software development methodology based on agile and lean thinking, including impacting the development of coding conventions, documentation standards, testing procedures and quality assurance.
 </li>
 <li>
 Maintain up-to-date knowledge of technology standards, industry trends, emerging technologies, and software development best practices.
 </li>
 <li>
 Ensure technical issues are quickly resolved and implement strategies and solutions to help reduce the likelihood of reoccurrence.
 </li>
 <li>
 Interface with Architects to understand the design skeleton.
 
 
 </li>
 </ul>
 
 Where you&rsquo;ll be working&hellip;
 
 
 
 In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
 
 
 
 What We&rsquo;re Looking For...
 
 
 
 You are curious about new technologies and the possibilities they create. You enjoy the challenge of supporting applications while exploring ways to improve upon the technology. You are driven and motivated, with strong communication and analytical skills. You will be working with multiple stakeholders within wireless teams in understanding and delivering the requirements and design.
 
 
 
 You&rsquo;ll Need To Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with one or more years of work experience.
 </li>
 <li>
 Two or more years of relevant work experience.
 </li>
 <li>
 Two or more years of experience in Spring Boot, Spring Reactive Programming.
 </li>
 <li>
 Experience in designing and building mid to large enterprise scale software solutions.
 </li>
 <li>
 Experience in DevOps Tools - GIT, Jenkins, JIRA, Test Driven development - JUnit, SonarCube.
 </li>
 <li>
 Experience in progressive transformation, technology enablement, innovation, or consumer retail exposure.
 </li>
 <li>
 Ability to build a positive, collaborative working environment that instills respect, trust, quality, and success as its core goals
 </li>
 <li>
 Experience in using AI pair programming tools like Github Copilot.
 </li>
 <li>
 Experience in addressing Security vulnerabilities of Sonar, Fortify, Blackduck.
 
 
 </li>
 </ul>
 
 Even better if you have one or more of the following:
 
 
 
 <ul>
 <li>
 Experience with DevOps, Agile, Scrum and CI/CD pipeline.
 </li>
 <li>
 Experience with Microservices, Netflix OSS Stack, MQ, Public Cloud/AWS.
 </li>
 <li>
 Excellent analytical, written, and oral communication skills, and be able to explain complex concepts both concisely and simply.
 </li>
 <li>
 Exceptionally self-motivated, solid interpersonal skills and a good communicator.
 </li>
 <li>
 Extremely detailed oriented, committed to excellence and takes unrelenting pride in the code you write
 </li>
 <li>
 Excellent problem-solving skills, willingness to take ownership and risks, and enthusiasm in the face of technical challenges.
 </li>
 <li>
 Strong analytical, debugging skills.
 
 
 </li>
 </ul>
 If Verizon and this role sound like a fit for you, we encourage you to apply even if you don&rsquo;t meet every &ldquo;even better&rdquo; qualification listed above.
 
 
 Where you&rsquo;ll be working
 
 
 In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.
 
 
 Scheduled Weekly Hours
 
 
 40
 
 
 Equal Employment Opportunity
 
 
 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
</div>

Engineer II-Software Development

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:
 
 
 
 
 Senior Manager, Integrated Test Lead &ndash; Data Product Engineering &amp; Delivery
 
 
 
 
 (Sr Manager, Technology Testing)
 
 
 
 Lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. Drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Test Strategy &amp; Leadership:
 
 
 <ul>
 <li>
 Design and implement end-to-end testing frameworks for data pipelines, ETL / ELT processes, and analytics platforms
 </li>
 <li>
 Ensure test coverage across ETL / ELT, data transformation, lineage and consumption layers
 </li>
 <li>
 Develop integrated testing strategies spanning multiple systems, APIs, and data sources
 </li>
 <li>
 Establish testing standards, methodologies, and best practices across the organization
 </li>
 </ul>
 
 
 
 
 
 Data Engineering Testing:
 
 
 <ul>
 <li>
 Create comprehensive test suites for data ingestion, transformation, and output validation
 </li>
 <li>
 Design data quality checks, schema validation, and performance testing for large-scale datasets
 </li>
 <li>
 Implement automated testing for streaming and batch data processing workflows
 </li>
 <li>
 Validate data integrity across multiple environments and systems and against business rules
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Coordination:
 
 
 <ul>
 <li>
 Collaborate with data engineers, software developers, product managers, and DevOps teams
 </li>
 <li>
 Coordinate testing activities across multiple product streams and release cycles
 </li>
 <li>
 Manage testing dependencies and critical path items in complex delivery timelines
 </li>
 </ul>
 
 
 
 
 
 Quality Assurance &amp; Process Improvement:
 
 
 <ul>
 <li>
 Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
 </li>
 <li>
 Lead root cause analysis for production issues and testing gaps
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership:
 
 
 <ul>
 <li>
 Mentor junior QA engineers and promote testing best practices
 </li>
 <li>
 Evaluate and implement new testing tools and technologies
 </li>
 <li>
 Design scalable testing infrastructure and CI/CD integration
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 10+ years in software testing with 3+ years in leadership roles
 </li>
 <li>
 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
 </li>
 <li>
 Proven track record with complex, multi-system integration testing
 </li>
 <li>
 Experience in agile/scrum environments with rapid delivery cycles
 </li>
 <li>
 Strong SQL experience with major databases (Redshift, Bigquery, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP) and their data services
 </li>
 <li>
 Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
 </li>
 <li>
 Proficiency in data warehousing, data architecture, reporting and analytics applications
 </li>
 <li>
 Scripting languages (Python, Java, bash) for test automation
 </li>
 <li>
 API testing tools and methodologies
 </li>
 <li>
 CI/CD/CT tools and practices
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Experience managing multiple priorities and competing deadlines
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Sr. Manager, Technology Testing [T500-20067]

<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.
 
 
 
 
 
 
 Data Platform Observability Lead:
 
 
 
 The Data Platform Observability Lead is responsible for establishing and advancing the observability, monitoring, and reliability practices across the Enterprise Data &amp; Analytics (EDAA) Platforms landscape. This role ensures end-to-end visibility into platform performance, data pipeline health, system availability, and operational SLAs. With a deep understanding of monitoring tools and SRE principles, the Observability Lead enables proactive issue detection, faster incident resolution, and continuous improvement of platform performance and reliability.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Design and implement comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
 </li>
 <li>
 Define and track key SLIs, SLOs, and KPIs across critical platform components and data pipelines.
 </li>
 <li>
 Lead the integration of monitoring, logging, tracing, and alerting tools to enable real-time insights and root cause analysis.
 </li>
 <li>
 Collaborate with platform engineering, SRE, and product teams to enhance observability coverage and automate incident responses.
 </li>
 <li>
 Drive the adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
 </li>
 <li>
 Oversee incident management processes and post-mortem practices to ensure continuous reliability improvements.
 </li>
 <li>
 Provide leadership in tool evaluation and deployment across observability and performance management platforms.
 </li>
 <li>
 Partner with security, compliance, and data governance teams to ensure visibility into data usage, lineage, and policy adherence.
 </li>
 <li>
 Lead operational reviews and reporting to highlight system health, risks, and opportunities for optimization.
 </li>
 <li>
 Mentor and coach engineers and analysts on observability concepts and tools to build a culture of shared ownership and resilience.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 8+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles
 </li>
 <li>
 Proficient with of ETL Pipeline&rsquo;s
 </li>
 <li>
 Strong expertise with observability tools and platforms (e.g., Datadog, Grafana, Prometheus, ELK, OpenTelemetry, Splunk)
 </li>
 <li>
 Deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures (e.g., AWS, GCP, Azure)
 </li>
 <li>
 Experience setting and managing SLIs/SLOs/SLAs in high-availability environments
 </li>
 <li>
 Strong background in incident response, performance tuning, and root cause analysis
 </li>
 <li>
 Proven ability to lead cross-functional collaboration and align technical work with business outcomes
 </li>
 <li>
 Bachelor's degree in computer science, Engineering, or related field; advanced degree or certifications preferred
 </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>

Platform Engineering - III [T500-20076]

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