senior software engineer Jobs in Hyderabad

senior software engineer

software development engineer Jobs in Hyderabad

software development engineer

devops architect

Delaplex

<div>
 
 About Company
 
 
 
 Delaplex is currently seeking a Solution Architect to join our Consulting Services team, specifically to the Infor WMS (Warehouse Management Systems). Solution Architect provides leadership and direction to the on-site implementation team on the design and execution of the solution and definition of business process workflows that accompany the solution. This role aims to take ownership of a solution within an implementation project and architect for software solutions that solve the customers business problem, while generating maximum value for the customer.
 
 
 
 Position Name: Infor WMS Business Consultant
 
 
 
 
 Experience: 4- 8 years
 
 
 
 
 Qualifications &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Information Technology, or related field.
 </li>
 <li>
 Proven experience as a Business Consultant with domain experience in Infor WMS.
 </li>
 <li>
 Expertise performance tuning and database administration.
 </li>
 <li>
 Strong understanding of technical platforms, infrastructure, and database structures.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently.
 </li>
 <li>
 Effective verbal and written communication skills; able to collaborate with stakeholders to resolve issues and estimate project timelines.
 </li>
 <li>
 Design reusable components and promote reusability using microservices-style architecture in SaaS environments.
 </li>
 <li>
 Provide guidance during implementation of product performance, support, and maintenance; deliver technical support including design review, installation, configuration, troubleshooting, and system testing.
 </li>
 <li>
 Contribute to practice growth by developing practice aids and best-practice collateral; conduct technical analysis sessions to translate functional and technical requirements into tailored solutions.
 </li>
 <li>
 Enable and deliver knowledge transfer to teams on best practices and emerging technologies.
 
 
 </li>
 </ul>
 Skills: performance tuninng,infor wms,warehouse management systems,database administration
</div>

Infor WMS Business Consultant

AiFA Labs

<div>
 Title: Technical Project manager
 
 
 Location: Hyderabad
 
 
 Experience: 10&ndash;12 years
 
 
 Employment Type: Full-time
 
 
 
 About The Role
 
 
 
 We are seeking a Technical Project Manager (TPM) with a strong foundation in IT automation, infrastructure, and security. This role is ideal for someone who started their career in a technical track (DevOps, Infra, or Security) and later moved into project/delivery management. The TPM will manage complex client-facing projects, coordinate cross-functional teams, and ensure on-time, high-quality delivery while maintaining compliance and governance.
 
 
 Key Responsibilities
 
 
 Project Delivery &amp; Execution
 
 
 Lead end-to-end delivery of IT automation and security projects.
 
 
 Create project plans, track milestones, and provide regular client and internal reporting.
 
 
 Technical Understanding &amp; Oversight
 
 
 Review architecture diagrams, logs, and error reports to anticipate issues early.
 
 
 Validate technical estimates and ensure realistic timelines with engineering teams.
 
 
 Translate client requirements into actionable technical tasks without overloading engineers.
 
 
 Client Engagement
 
 
 Serve as the single point of contact for clients.
 
 
 Explain technical impacts (e.g., infra compatibility, compliance risks) in business-friendly language.
 
 
 Manage scope, customizations, and change requests effectively.
 
 
 Cross-Functional Coordination
 
 
 Align development, QA, DevOps, and infrastructure teams for integrated delivery.
 
 
 Balance workloads across frontend, backend, infra, and security tracks.
 
 
 Compliance &amp; Governance
 
 
 Ensure solutions align with enterprise standards (ISO 27001, SOC 2, HIPAA, etc.).
 
 
 Track security and compliance requirements, including privileged access and audit trails.
 
 
 Process &amp; Risk Management
 
 
 Define delivery governance: SLA tracking, dashboards, bug trend analysis.
 
 
 Proactively identify risks and implement mitigation strategies.
 
 
 
 Required Skills &amp; Experience
 
 
 
 10&ndash;12 years of IT experience, with at least 5 years in project/program management.
 
 
 Prior hands-on background in DevOps, Infrastructure, or Security (not necessarily current coding, but strong technical grounding).
 
 
 Proven success managing projects with multi-technology stacks (Frontend, Backend, Infra, Security).
 
 
 Strong understanding of automation frameworks, privileged access/security concepts, and workflow orchestration.
 
 
 Experience in client-facing delivery roles, handling escalations and requirement translation.
 
 
 Proficiency in Agile/Scrum practices and tools (JIRA, Confluence).
 
 
 Excellent communication and stakeholder management skills.
 
 
 Nice-to-Have
 
 
 Experience in large-scale IT operations automation or compliance-driven environments.
 
 
 Certifications: PMP, PRINCE2, CSM, or SAFe.
 
 
 Exposure to AI/automation-driven platforms.
 
 
 Skills: security,devops,infrastructure,it,automation,project
</div>

Technical Project manager

Pidilite Industries Limited

<div>
 
 Hi
 
 
 Pidilite is hiring for Key Account Sales Executive
 
 
 Location : Hyderabad
 
 
 
 Skill and Designation : Key Account Sales Executive
 
 ( Project Sales )
 
 
 Exp : 4 to 13 years exp in Project Sales ( Good exposure in Architect segment from building material , construction chemical )
 
 
 
 Note : Its Individual contributor role
 
 
 
 Education : Any Graduate
 
 
 Communication : Excellent communication
 
 
 Industry Exp : Cement ,Construction Chemical ,Building Material ,Plywood, Laminate, Tiles, Ceramics ,Bath fitting ,Paint ETC
 
 
 
 Job description
 
 
 
 
 Responsibilities:-
 
 
 
 A person who has worked in cement / paint industry /Building Material with 4-5 years min work ex and has worked with builders to activate them is criteria 1
 
 
 Candidates who have worked with key accounts (small size)
 
 
 Candidates who have an exposure to retail management are preferred than pure project profile as mentioned in point 2
 
 
 
 
 
 Interested please share updated resume to ots1281@pidilite.com or please contact at given no. 9007377402
 
 
 Regards
 
 
 Sabita Roy
 
</div>

Project Sales

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work 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 Machine Learning Services and Pipelines.
 
 
 
 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>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python 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>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be 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 required
 </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>
 </ul>
</div>

Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

Tera Software Limited

<div>
 
 About The Role
 
 
 
 We are looking for a passionate Python Developer to join our engineering team and contribute to building scalable, high-performing backend systems and APIs.
 
 
 The ideal candidate will have hands-on experience in developing robust applications, writing clean and maintainable code, and working in agile, collaborative environments.
 
 
 
 Key Responsibilities (KRA)
 
 
 
 <ul>
 <li>
 Design, develop, and maintain backend services, APIs, and automation scripts using Python.
 </li>
 <li>
 Write efficient, reusable, and testable code following coding standards and best practices.
 </li>
 <li>
 Collaborate with front-end developers, product managers, and QA teams to deliver high-quality software.
 </li>
 <li>
 Integrate data storage solutions such as relational and NoSQL databases.
 </li>
 <li>
 Implement and maintain RESTful APIs for internal and external use.
 </li>
 <li>
 Debug, troubleshoot, and optimize performance for existing applications.
 </li>
 <li>
 Participate in code reviews, testing, and documentation to ensure software quality.
 </li>
 <li>
 Contribute to continuous integration, deployment, and version control practices.
 </li>
 <li>
 Support deployment of applications to cloud environments and work closely with DevOps teams.
 </li>
 <li>
 Stay updated with emerging technologies and suggest improvements for system architecture and performance.
 
 
 </li>
 </ul>
 
 Required Skillsets
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and frameworks such as Django or Flask.
 </li>
 <li>
 Good understanding of REST API design, JSON, and web service integration.
 </li>
 <li>
 Experience with SQL databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
 </li>
 <li>
 Familiarity with ORMs and database schema design.
 </li>
 <li>
 Basic knowledge of HTML, CSS, and JavaScript for integration with front-end systems.
 </li>
 <li>
 Experience with Git, CI/CD tools, and agile development practices.
 </li>
 <li>
 Understanding of object-oriented programming, data structures, and design patterns.
 </li>
 <li>
 Knowledge of Docker or containerized environments is an advantage
 
 
 </li>
 </ul>
 (ref:hirist.tech)
</div>

Tera Software - Python Developer - Django/Flask

Explore 19+ Devops architect in Hyderabad this November. Find roles across top companies and apply now to boost your career.

19 devops architect jobs IN Hyderabad

Infor WMS Business Consultant

Technical Project manager

Project Sales

Data Scientist

EY - GDS Consulting - AI and DATA -Gen AI - Senior

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Tera Software - Python Developer - Django/Flask