Job Description: This position requires frequent collaboration with developers, architects, data product owners, and source system teams. The ideal candidate is a versatile professional with deep expertise spanning data engineering, software architecture, data analysis, visualization, BI tools, relational databases, and data warehouse architecture across traditional and cloud environments. Experience with emerging AI technologies, including Generative AI, is highly valued. Key Roles and Responsibilities Lead the end-to-end design, architecture, development, testing, and deployment of scalable Data & AI solutions across traditional data warehouses, data lakes, and cloud platforms such as Snowflake, Azure, AWS, Databricks, and Delta Lake. Architect and build secure, scalable software systems, microservices, and APIs leveraging best practices in software engineering, automation, version control, and CI/CD pipelines. Develop, optimize, and maintain complex SQL queries, Python scripts, Unix/Linux shell scripts, and AI/ML pipelines to transform, analyze, and operationalize data and AI models. Incorporate GenAI technologies by evaluating, deploying, fine-tuning, and integrating models to enhance data products and business insights. Translate business requirements into robust data products, including interactive dashboards and reports using Power BI, Tableau, or equivalent BI tools. Implement rigorous testing strategies to ensure reliability, performance, and security throughout the software development lifecycle. Lead and mentor engineering teams, fostering collaboration, knowledge sharing, and upskilling in evolving technologies including GenAI. Evaluate and select optimal technologies for platform scalability, performance monitoring, and cost optimization in both cloud and on-premise environments. Partner cross-functionally with development, operations, AI research, and business teams to ensure seamless delivery, support, and alignment to organizational goals. Key Competencies Extensive leadership and strategic experience in full software development lifecycle and enterprise-scale data engineering projects. Deep expertise in relational databases, data marts, data warehouses, and advanced SQL programming. Strong hands-on experience with ETL processes, Python, Unix/Linux shell scripting, data modeling, and AI/ML pipeline integration. Proficiency with Unix/Linux operating systems and scripting environments. Advanced knowledge of cloud data platforms (Azure, AWS, Snowflake, Databricks, Delta Lake). Solid understanding and practical experience with Traditional & Gen AI technologies including model development, deployment, and integration. Familiarity with big data frameworks and streaming technologies such as Hadoop, Spark, and Kafka. Experience with containerization and orchestration tools including Docker and Kubernetes. Strong grasp of data governance, metadata management, and data security best practices. Excellent analytical, problem-solving, and communication skills to articulate complex technical concepts and business impact. Ability to independently lead initiatives while fostering a collaborative, innovative team culture. Desired knowledge of software engineering best practices and architectural design patterns. Required/Desired Skills RDBMS and Data Warehousing — 12+ years (Required) SQL Programming and ETL — 12+ years (Required) Unix/Linux Shell Scripting — 8+ years (Required) Python or other programming languages — 6+ years (Required) Cloud Platforms (Azure, AWS, Snowflake, Databricks, Delta Lake) — 5+ years (Required) Power BI / Tableau — 5 years (Desired) Generative AI (model development, deployment, integration) — 3+ years (Desired) Big Data Technologies (Hadoop, Spark, Kafka) — 3+ years (Desired) Containerization and Orchestration (Docker, Kubernetes) — 2+ years (Desired) Data Governance and Security — 3+ years (Desired) Software Engineering and Architecture — 4+ years (Desired) Education & Experience Bachelor’s degree (BS/BA) in Computer Science, Scientific Computing, or a related field is desired. Relevant certifications in data engineering, cloud platforms, or AI technologies may be required or preferred. 13+ years of related experience is the minimum; however, the ideal candidate will have extensive experience as outlined above. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, or related technical field, or equivalent practical experience in Software Engineering. Experience with front end technologies like Angular, React, TypeScript, etc. and one or more back end programming languages such as Java, Python, Go, or similar. Experience in maintaining internet -acing production-grade applications. Experience troubleshooting problems across an array of services and functional areas, and experience with relational databases (e.g., PostgreSQL, Db2, etc.). Preferred qualifications: Experience developing scalable applications using Java, Python, or similar, including data structures, algorithms, and software design. Experience working with different types of databases (e.g., SQL, NoSQL, Graph, etc.). Experience with unit or automated testing tools such as Junit, Selenium, Jest, etc. Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment. Experience with deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). Understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will work with key strategic Google Cloud customers. Alongside the team, you will support customer application development leveraging Google Cloud products, architecture guidance, best practices, troubleshooting, monitoring, and more. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted technical advisor to customers and design and build complex applications. Be versatile and enthusiastic to take on new problems across the full stack as we continue to push technology forward. Maintain highest levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Travel up to 30% of the time depending on the region. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Bangalore,Karnataka,India Job ID 763721 Join our Team Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions . Key Responsibilities Define and implement model validation processes and business success criteria in data science terms . Contribute to the architecture and data flow for machine learning models. Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs. Conduct advanced data analysis and rigorous testing to enhance model accuracy and performance. Work with Data Architects to leverage existing data models and create new ones as required. Collaborate with product teams and business partners to industrialize machine learning models into Ericsson’s enterprise solutions . Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models. Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.). Develop and maintain APIs for AI/ML models and optimize data pipelines. Lead end-to-end ML projects from conception to deployment. Stay updated on the latest ML advancements and apply best practices to enterprise AI solutions . Required Skills & Experience 4–6 years of hands-on experience in machine learning, AI, and data science . Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.). Proficiency in ML algorithms, deep learning, reinforcement learning (RL), and large language models (LLMs) . Expertise in MLOps , including model lifecycle management and monitoring. Experience with containerization & orchestration (Docker, Kubernetes, Helm charts). Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo). Strong programming skills in Python and experience with C++, Scala, Java, R . Experience in API design & development for AI/ML models . Hands-on knowledge of Terraform for infrastructure automation. Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift). Strong understanding of self-hosted deployment of LLMs on AWS . Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent . Working knowledge of vector databases, knowledge graphs, retrieval-augmented generation (RAG), agents, and agentic mesh architectures . Expertise in monitoring tools like Datadog for K8S environments. Ability to document, present , and communicate technical findings to business stakeholders . Proven ability to contribute to ML forums, patents, and research publications . Educational Qualifications B.Tech/B.E. in Computer Science , MCA, or a Master’s in Mathematics/Statistics from a top-tier institute . Join Ericsson and be part of a cutting-edge team that is revolutionizing enterprise AI, 5G, and security solutions . to shape the future of wireless connectivity! Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Description: Mobility Core and Network Services (MCANS) team is part of the Network CTO organization that oversees the global mobile and fixed network technology direction for AT&T, which includes the design of the company’s 5G and IMS infrastructure. This team is responsible for the architecture, design, certification, testing and delivery of advanced Mobility Core network functions and Network Services applications, including for IP multimedia systems and packet data, which are the future of Mobility services and experiences. The team contributes to the growth and development of end-to-end wireless network services across Consumer, Enterprise, Internet of Things (IOT), FirstNet and public sector products. This position is part of a team that collaborates with client project teams in the development of Mobility Cloud platform delivery, CI/CD workflow automation. This is a very dynamic and exciting role that will allow for exposure to emerging mobility, virtualization, cloud technologies, and customer premise equipment! We are seeking candidates who are eager to learn and grow their skills as part of a diverse, talented, and energetic group of professionals working in the areas of voice over IP, cloud computing, data analytics, software development and technology delivery. REQUIRED SKILLS/QUALFICATIONS Voice over IP Experienced with VoIP Standards and fundamentals Experienced with VoIP protocols (SIP, Diameter, HTTPS) Experienced with VoIP Call Flow Design and Certification Experience with common access methods (RAN, BroadBand) Cloud Computing Deep understanding of virtualization, containerization, and Infrastructure as Code (IaC) concepts Skilled in various cloud platforms, e.g., Nokia Cloudband, Redhat OpenShift (OCP), Microsoft Azure Skilled in programming skills in a language like Python, JavaScript, or Java Good knowledge of networking concepts Test planning and execution Data Analytics Experienced with programming languages like Linux Shell, Python for data manipulation and analysis Good experience in Alarm treatment, analysis, and ticket generation Experienced with SQL and relational databases Understanding of data visualization and statistics Software Development & Delivery Deep understanding of Docker, OpenStack, and Kubernetes Experienced Continuous Integration/Continuous Deployment (CI/CD) Familiarity with Azure and ADO concepts Administrator level expertise in Linux Experienced in Ansible and Python scripting Experienced in YAML and JSON file types and their usage Basic familiarity of GO language and GIT EDUCATION REQUIREMENT Bachelor's Degree in a STEM discipline e.g. Computer Science, or Engineering. PREFERRED QUALIFICATIONS Telecom Industry (not mandatory but a plus): Basic understanding of telecommunications, network architecture, and wireless communication protocols. Exposure to network analysis and telecom-specific data sources. Familiarity with geospatial analysis, IoT, edge computing, and security and privacy concepts in the telecom industry. Artificial Intelligence/Machine Learning (not mandatory but a plus): Awareness of machine learning frameworks and concepts. Basic understanding of mathematics relevant to AI/ML. Familiarity with data preprocessing and model evaluation Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-58283 Date posted 06/17/2025 Benefits Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits. Paid Time Off Tuition Assistance Insurance Options Discounts Training & Development

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience in software engineering. 3 years of experience in application or solution architecture. 3 years of experience in developing applications in one or more programming languages such as Java, Python, Go, or similar. Experience managing internal or client-facing projects to completion. Experience troubleshooting client's technical issues, and working with Engineering, Sales, and Services teams, and customers. Experience in designing, developing, and maintaining internet facing production-grade applications. Preferred qualifications: Experience in designing cloud-native enterprise applications. Experience with unit or automated testing tools such as Junit. Experience with networking technologies (e.g., Load Balancers, Firewalls) and web standards (e.g., Representational State Transfer Application Programming Interfaces (REST APIs), web security mechanisms). Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment. Experience with deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). Understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Application Modernization Engineer, you will work with customers to assess existing enterprise applications in anticipation of a cloud migration/modernization, by providing application design experience, assessing and classifying applications and application platforms, and proposing rewrite approaches to facilitate deployment to cloud native products like Google Kubernetes Engine. You will work with customers on legacy application re-design and implementation including application scaling, reliability, and ongoing operations such as application and feature rollouts, monitoring, and more. You will work closely with Product Management and Product Engineering to build and constantly generate excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted technical advisor to customers, and design and build applications. Recommend approaches and estimated effort for application migration and modernization programs. Influence and coach a distributed team of engineers. Maintain high levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability. Manage project priorities, deadlines, and deliverables. Work with customers to design technical architectures, migration approaches, and application optimizations. Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Description: This position requires frequent collaboration with developers, architects, data product owners, and source system teams. The ideal candidate is a versatile professional with deep expertise spanning data engineering, software architecture, data analysis, visualization, BI tools, relational databases, and data warehouse architecture across traditional and cloud environments. Experience with emerging AI technologies, including Generative AI, is highly valued. Key Roles and Responsibilities Lead the end-to-end design, architecture, development, testing, and deployment of scalable Data & AI solutions across traditional data warehouses, data lakes, and cloud platforms such as Snowflake, Azure, AWS, Databricks, and Delta Lake. Architect and build secure, scalable software systems, microservices, and APIs leveraging best practices in software engineering, automation, version control, and CI/CD pipelines. Develop, optimize, and maintain complex SQL queries, Python scripts, Unix/Linux shell scripts, and AI/ML pipelines to transform, analyze, and operationalize data and AI models. Incorporate GenAI technologies by evaluating, deploying, fine-tuning, and integrating models to enhance data products and business insights. Translate business requirements into robust data products, including interactive dashboards and reports using Power BI, Tableau, or equivalent BI tools. Implement rigorous testing strategies to ensure reliability, performance, and security throughout the software development lifecycle. Lead and mentor engineering teams, fostering collaboration, knowledge sharing, and upskilling in evolving technologies including GenAI. Evaluate and select optimal technologies for platform scalability, performance monitoring, and cost optimization in both cloud and on-premise environments. Partner cross-functionally with development, operations, AI research, and business teams to ensure seamless delivery, support, and alignment to organizational goals. Key Competencies Extensive leadership and strategic experience in full software development lifecycle and enterprise-scale data engineering projects. Deep expertise in relational databases, data marts, data warehouses, and advanced SQL programming. Strong hands-on experience with ETL processes, Python, Unix/Linux shell scripting, data modeling, and AI/ML pipeline integration. Proficiency with Unix/Linux operating systems and scripting environments. Advanced knowledge of cloud data platforms (Azure, AWS, Snowflake, Databricks, Delta Lake). Solid understanding and practical experience with Traditional & Gen AI technologies including model development, deployment, and integration. Familiarity with big data frameworks and streaming technologies such as Hadoop, Spark, and Kafka. Experience with containerization and orchestration tools including Docker and Kubernetes. Strong grasp of data governance, metadata management, and data security best practices. Excellent analytical, problem-solving, and communication skills to articulate complex technical concepts and business impact. Ability to independently lead initiatives while fostering a collaborative, innovative team culture. Desired knowledge of software engineering best practices and architectural design patterns. Required/Desired Skills RDBMS and Data Warehousing — 12+ years (Required) SQL Programming and ETL — 12+ years (Required) Unix/Linux Shell Scripting — 8+ years (Required) Python or other programming languages — 6+ years (Required) Cloud Platforms (Azure, AWS, Snowflake, Databricks, Delta Lake) — 5+ years (Required) Power BI / Tableau — 5 years (Desired) Generative AI (model development, deployment, integration) — 3+ years (Desired) Big Data Technologies (Hadoop, Spark, Kafka) — 3+ years (Desired) Containerization and Orchestration (Docker, Kubernetes) — 2+ years (Desired) Data Governance and Security — 3+ years (Desired) Software Engineering and Architecture — 4+ years (Desired) Education & Experience Bachelor’s degree (BS/BA) in Computer Science, Scientific Computing, or a related field is desired. Relevant certifications in data engineering, cloud platforms, or AI technologies may be required or preferred. 13+ years of related experience is the minimum; however, the ideal candidate will have extensive experience as outlined above. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-70883 Date posted 06/17/2025 Benefits Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits. Paid Time Off Tuition Assistance Insurance Options Discounts Training & Development

Title: Full Stack Senior Software Engineer with 10+ years of experience At Schneider-Electric with our EcoStruxure platform we deliver Innovation at Every Level. We are powering the Digitizing Economy, digitizing our customer experience, Digitizing the Energy and Automation segments. We are pioneering IoT/IIoT with our state-of-the-art technologies with connected devices, next generation cloud platform, analytics, and services. In this Job, you will be part of our EcoStruxure Innovation Journey. Our 3 layered EcoStruxure platform consisting of Connected Devices, Edge Control, Apps/Analytics & Services on Cloud. You will be contributing in developing core technologies related to Edge Control layer and Apps/Analytics and services layer of the EcoStruxure platform. We are looking for a Full Stack Senior Software Engineer who is adept in building Software Products for Industrial Automation domain. Your primary responsibility will be to work as a Technical Lead in an Agile team to deliver industry leading solutions for various Business needs based on the Web and Windows Platform. Qualifications Qualifications Education: Bachelor's Degree / Master's Degree in Engineering in Computer Science/Electrical Engineering/Telecommunication Engineering / M.C.A. Responsibilities: Designing, developing, and maintaining full-stack solutions. Leading and participating in the entire software development lifecycle. Collaborating with cross-functional teams to define, design, and ship new features. Writing clean, efficient, and maintainable code for both front-end and back-end development. Conducting code reviews and providing technical guidance to junior team members. Identifying and resolving performance and security issues. Staying updated with industry trends and best practices to continuously improve development processes. Experience and Skill Set: Proven experience as a Full Stack Developer or similar role. Proficiency in front-end technologies such as Angular2, HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js). Proficiency in back-end development using ASP.NET is required, and familiarity with Node.js or Java would be an additional asset. Experience with database systems (SQL and NoSQL), web servers, and microservices architecture. Familiarity with DevOps practices and tools for continuous integration and deployment. Cloud Platforms: Experience with any of the platforms such as AWS, Azure, or Google Cloud. Containerization and Orchestration: Knowledge of Docker and Kubernetes. Version Control Systems: Proficiency in using Git and platforms like GitHub or GitLab. Testing Frameworks: Familiarity with Jasmine, Mocha, or Selenium. API Development and Integration: Experience in developing and integrating RESTful APIs and familiarity with GraphQL. Agile and Scrum Methodologies: Strong understanding of Agile and Scrum methodologies. Soft Skills: Strong leadership and mentoring skills, excellent communication and collaboration skills. Good knowledge of Cyber security and its applications. Excellent problem-solving and communication skills. Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

Position Overview: We are seeking a highly skilled and motivated Senior Engineer to join our R&D team, focused on open automation and the convergence of IT and OT. This role demands a strong IT background, exceptional systems design and software engineering capabilities, and a passion for integrating IT and OT systems. Responsibilities: Design and develop high-quality software solutions for open automation systems. Contribute to the architecture and implementation of APIs, microservices, and event-driven systems. Implement and maintain CI/CD pipelines, leveraging containerization, orchestration, and automation tools. Contribute to system administration tasks, including network management, OS configuration, virtualization, and cloud deployments. Collaborate with other engineers, researchers, and stakeholders to define requirements, design solutions, and ensure successful project delivery. Stay up-to-date with the latest technologies and trends in IT/OT convergence and open automation. Qualifications Engineering background preferred : e.g., Electrical Engineering, Computer Engineering, Automation Engineering. (more than 7 years experience) Required Skills: Systems Design: Expertise in API design, high-availability and scalable architectures, message queues, and event-driven systems. Software Engineering : Proficiency in Python and C#.NET, demonstrating best practices and clean code principles; solid understanding of web development concepts and experience with SQL databases. DevOps : Hands-on experience with CI/CD pipelines, and technologies like Docker, Kubernetes, Ansible, and Zabbix. Industrial communication protocols: Familiarity with OPC UA, MQTT, HTTP/S, WebSocket, REST, GraphQL, and OData. Systems Administration : Proven experience in network administration, Linux and Windows server management, virtualization technologies, and cloud computing platforms. Communication and Collaboration : Ability to work effectively within a team and communicate technical concepts clearly Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, or related technical field, or equivalent practical experience in Software Engineering. Experience with front end technologies like Angular, React, TypeScript, etc. and one or more back end programming languages such as Java, Python, Go, or similar. Experience in maintaining internet -acing production-grade applications. Experience troubleshooting problems across an array of services and functional areas, and experience with relational databases (e.g., PostgreSQL, Db2, etc.). Preferred qualifications: Experience developing scalable applications using Java, Python, or similar, including data structures, algorithms, and software design. Experience working with different types of databases (e.g., SQL, NoSQL, Graph, etc.). Experience with unit or automated testing tools such as Junit, Selenium, Jest, etc. Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment. Experience with deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). Understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will work with key strategic Google Cloud customers. Alongside the team, you will support customer application development leveraging Google Cloud products, architecture guidance, best practices, troubleshooting, monitoring, and more. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted technical advisor to customers and design and build complex applications. Be versatile and enthusiastic to take on new problems across the full stack as we continue to push technology forward. Maintain highest levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Travel up to 30% of the time depending on the region. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience in software engineering. 3 years of experience in application or solution architecture. 3 years of experience in developing applications in one or more programming languages such as Java, Python, Go, or similar. Experience managing internal or client-facing projects to completion. Experience troubleshooting client's technical issues, and working with Engineering, Sales, and Services teams, and customers. Experience in designing, developing, and maintaining internet facing production-grade applications. Preferred qualifications: Experience in designing cloud-native enterprise applications. Experience with unit or automated testing tools such as Junit. Experience with networking technologies (e.g., Load Balancers, Firewalls) and web standards (e.g., Representational State Transfer Application Programming Interfaces (REST APIs), web security mechanisms). Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment. Experience with deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). Understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Application Modernization Engineer, you will work with customers to assess existing enterprise applications in anticipation of a cloud migration/modernization, by providing application design experience, assessing and classifying applications and application platforms, and proposing rewrite approaches to facilitate deployment to cloud native products like Google Kubernetes Engine. You will work with customers on legacy application re-design and implementation including application scaling, reliability, and ongoing operations such as application and feature rollouts, monitoring, and more. You will work closely with Product Management and Product Engineering to build and constantly generate excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted technical advisor to customers, and design and build applications. Recommend approaches and estimated effort for application migration and modernization programs. Influence and coach a distributed team of engineers. Maintain high levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability. Manage project priorities, deadlines, and deliverables. Work with customers to design technical architectures, migration approaches, and application optimizations. Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience in software engineering. 3 years of experience in application or solution architecture. 3 years of experience in developing applications in one or more programming languages such as Java, Python, Go, or similar. Experience managing internal or client-facing projects to completion. Experience troubleshooting client's technical issues, and working with Engineering, Sales, and Services teams, and customers. Experience in designing, developing, and maintaining internet facing production-grade applications. Preferred qualifications: Experience in designing cloud-native enterprise applications. Experience with unit or automated testing tools such as Junit. Experience with networking technologies (e.g., Load Balancers, Firewalls) and web standards (e.g., Representational State Transfer Application Programming Interfaces (REST APIs), web security mechanisms). Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment. Experience with deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). Understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch). About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As an Application Modernization Engineer, you will work with customers to assess existing enterprise applications in anticipation of a cloud migration/modernization, by providing application design experience, assessing and classifying applications and application platforms, and proposing rewrite approaches to facilitate deployment to cloud native products like Google Kubernetes Engine. You will work with customers on legacy application re-design and implementation including application scaling, reliability, and ongoing operations such as application and feature rollouts, monitoring, and more. You will work closely with Product Management and Product Engineering to build and constantly generate excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted technical advisor to customers, and design and build applications. Recommend approaches and estimated effort for application migration and modernization programs. Influence and coach a distributed team of engineers. Maintain high levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability. Manage project priorities, deadlines, and deliverables. Work with customers to design technical architectures, migration approaches, and application optimizations. Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Summary: We are looking for a talented Core PHP Developer with at least 3 + years of experience in building RESTful APIs and integrating eCommerce modules . The ideal candidate will have hands-on experience with PHP, strong problem-solving skills, and a good understanding of backend development processes. You will work closely with our development team to create and implement high-quality solutions. Are you a Laravel Developer with 3+ years of experience in REST API & webhook integrations for ERP & eCommerce platforms ? Do you have a passion for building scalable and high-performance applications? If yes, we want you on our team! Location: Borivali & Thane Experience: 3+ years Employment Type: Full-time What You’ll Do: ✅ Develop and maintain Laravel-based applications for ERP & eCommerce integrations. ✅ Build, test, and optimize REST APIs & webhooks for seamless system communication. ✅ Work with third-party API integrations (ERP, CRM, Payment Gateways, eCommerce platforms). ✅ Ensure secure authentication and authorization using OAuth, JWT, or similar methods. ✅ Optimize database queries (MySQL, PostgreSQL) for high-performance applications. ✅ Collaborate with frontend developers, project managers, and stakeholders for smooth execution. ✅ Debug, troubleshoot, and optimize API workflows for seamless automation. ✅ Implement queues (Redis, RabbitMQ, etc.) for async processing and performance optimization. What We’re Looking For: - Strong experience in Laravel & PHP (latest versions). - Proficiency in REST API development, API authentication (OAuth, JWT), and webhooks. - Hands-on experience with MySQL, PostgreSQL, and Eloquent ORM. - Experience with ERP systems (SAP, NetSuite, Dynamics 365, Odoo) and eCommerce platforms (Shopify, Magento, WooCommerce, BigCommerce). - Understanding of event-driven architecture & message queues (Redis, RabbitMQ, Kafka, etc.). - Experience in cloud platforms (AWS, Azure) and DevOps tools (Docker, Kubernetes, CI/CD). - Knowledge of API testing tools (Postman, Swagger) and debugging techniques. - Strong problem-solving, collaboration, and documentation skills. Why Join Us? ✨ Work on cutting-edge ERP & eCommerce integrations with Laravel. ✨ A collaborative environment with growth and learning opportunities . ✨ Competitive salary, benefits, and career advancement. resume at vishal@saasintegrator.com: Experience Current CTC Expected CTC Notice Period. Job Type: Full-time Pay: ₹20,000.00 - ₹75,000.00 per month Location Type: In-person Schedule: Day shift Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your relevant experience? What is your Current CTC? What is your expected CTC? What is your Notice Period(days)? Education: Bachelor's (Preferred) Experience: total work: 3 years (Required) Laravel: 3 years (Required) software development: 3 years (Required) rest api: 3 years (Required) Location: Mumbai, Maharashtra (Required) Work Location: In person

At EY, you’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’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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 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. Show more Show less

We are looking for a Lead QA Engineer in Testing to join our Quality Engineering team. This is an amazing opportunity to work on various Clarivate products and services which could include automation, performance, manual and security aspects of testing About You (Skills & Qualification Required) Bachelor’s degree in Engineering or master’s degree (BE, ME, B Tech, MTech, MCA, MS) Minimum 8 years of experience relevant experience in functional and non-functional testing Should be specialized in both UI and API automation with knowledge on tools like Playwright/Selenium/TypeScript Experience in version control system Git or bitbucket and CI/CD tools Jenkins/TeamCity/GitLab. Good programming skills in Java language. Familiarity with tools like Cucumber, Rest Assured and TestNG framework. Familiarity of testing pyramid, understanding of functional and non-functional aspects of testing It would be great if you also have… Understanding of open-source tools would be an advantage Working familiarity with cloud tools like AWS Working familiarity with Docker Experience of performance engineering including hands on with at least one tool (Netload, JMeter or LoadRunner) What will you be doing in this role? This is hands on role with skill sets including functional testing and automation (UI/API). Leads QA Modules by helping assign work and being point of contact for QA team. Interacts with POs/Customers/BAs for requirement understanding/refinement. Work with team members in a supportive way which encourages team building and confidence with individual members. Be prepared to evaluate, learn and use new tools. Prioritizing individual & team’s workload. Manage stakeholders’ expectations. Provides test plans or test strategy in addition to designing and executing complex automated tests. Estimates QA effort for epics/releases. About The Team The existing team is spread across India and Belgrade, includes Testers with strong technical and analytical skills. You would be part of large QA Group responsible for delivering world class products and innovative solutions in the field of Intellectual property. Hours of Work This is permanent position with Clarivate. You will be working in IST time zone. 9 hours of work per day including 1-hour lunch break. We have hybrid work model, flexible and employee friendly work environment. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

Job Title: AI Engineer Location: Chennai, Tamil Nadu (5 days WFO) Experience: Minimum 2 Years Job Type: Full-time Job Summary: We are looking for a passionate and skilled AI Engineer to join our team in Chennai. The ideal candidate should have at least 2+ years of hands-on experience in designing, developing, and deploying AI/ML models. You will work on innovative projects involving natural language processing (NLP), computer vision, recommendation systems, and more, contributing to real-world applications that drive business outcomes. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models Analyze large datasets to extract actionable insights Collaborate with data engineers and software developers to integrate models into production systems Optimize algorithms for performance, scalability, and accuracy Research and experiment with the latest advancements in AI and ML Conduct model testing, validation, and fine-tuning Document processes, models, and results for internal and client use Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field 2+ years of hands-on experience in AI/ML model development Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, or Keras Experience with data preprocessing, feature engineering, and model evaluation Knowledge of NLP, computer vision, or time series modeling Familiarity with tools like Jupyter, Git, Docker, and cloud platforms (AWS/GCP/Azure) Strong problem-solving and analytical skills Excellent communication and collaboration abilities Preferred Qualifications: Experience with deploying models using Flask, FastAPI, or similar frameworks Exposure to MLOps tools and practices Contributions to open-source AI/ML projects or participation in Kaggle competitions Show more Show less

Job Location: Bangalore ( Mahadevapura ) CTC - Up to 20 LPA Job Description: We are seeking a highly skilled and experienced Senior Software Engineer . The ideal candidate will have a strong background as full stack developer in Java & JEE enterprise applications development using Spring MVC, Spring Boot, React JS, Servlets, JSP, and SQL. Responsible for designing, developing, and maintaining high-quality software solutions. Key Responsibilities: Design, develop, and maintain web applications using Java, Spring MVC, Spring Boot, React JS, Servlets, and JSP. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Participate in code reviews and provide constructive feedback. Mentor junior developers and share best practices. Work with customer to collate requirements , document requirements and render them into technical solutions . Requirements : Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development and delivery . Strong proficiency in Java 1.8 and above , Spring MVC, Spring Boot, React JS and SQL. Good experience in working with Servlets, JSP, EJB is an added advantage . Proficiency in working with any of the application/web servers – Webloigic, Jboss, Tomcat Experience with front-end technologies such as HTML, CSS, and JavaScript, JQuery Familiarity with version control systems (e.g., Git). Experience with Docker and Kubernetes is added advantage Experience in Devops is an added advantage Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work independently and manage multiple tasks. Job Type: Full-time Pay: Up to ₹2,000,000.00 per year Experience: React JS: 2 years (Required) software development and delivery: 5 years (Required) Location: Banglore, Karnataka (Preferred) Work Location: In person

At EY, you’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’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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 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. Show more Show less

At EY, you’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’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. Career Family - TechOps -CloudOps Role Type - Cloud Operation Engineer - AWS and Azure The opportunity We are looking for a Staff CloudOps Engineer with 1-3 years of hands-on experience in AWS and Azure environments. The primary focus of this role is supporting DevOps practices, including CI/CD pipelines, automation scripting, and container orchestration. The role also involves contributing to basic cloud infrastructure management and support. You will assist in troubleshooting, support deployment pipelines, and participate in operations across cloud-native environments. Your Key Responsibilities Assist in resolving infrastructure and DevOps-related incidents and service requests. Support CI/CD pipeline operations and automation workflows. Implement infrastructure as code using Terraform. Monitor platform health using native tools like AWS CloudWatch and Azure Monitor. Collaborate with CloudOps and DevOps teams to address deployment or configuration issues. Maintain and update runbooks, SOPs, and automation scripts as needed. Skills And Attributes For Success Working knowledge of AWS and Azure core services. Experience with Terraform; exposure to CloudFormation or ARM templates is a plus. Familiarity with Docker, Kubernetes (EKS/AKS), and Helm. Basic scripting in Bash; knowledge of Python is a plus. Understanding of ITSM tools such as ServiceNow. Knowledge of IAM, security groups, VPC/VNet, and basic networking. Strong troubleshooting and documentation skills. To qualify for the role, you must have 1-3 years of experience in CloudOps, DevOps, or cloud infrastructure support. Hands-on experience in supporting cloud platforms like AWS and/or Azure. Familiarity with infrastructure automation, CI/CD pipelines, and container platforms. Relevant cloud certification (AWS/Azure) preferred. Willingness to work in a 24x7 rotational shift-based support environment. No location constraints Technologies and Tools Must haves Cloud Platforms: AWS, Azure Infrastructure as Code: Terraform (hands-on) CI/CD: Basic experience with GitHub Actions, Azure DevOps, or AWS CodePipeline Containerization: Exposure to Kubernetes (EKS/AKS), Docker Monitoring: AWS CloudWatch, Azure Monitor Scripting: Bash Incident Management: Familiarity with ServiceNow or similar ITSM tool Good to have Templates: CloudFormation, ARM templates Scripting: Python Security: IAM Policies, RBAC Observability: Datadog, Splunk, OpenTelemetry Networking: VPC/VNet basics, load balancers Certification: AWS/Azure (Associate-level preferred) What We Look For Enthusiastic learners with a passion for cloud technologies and DevOps practices. Problem solvers with a proactive approach to troubleshooting and optimization. Team players who can collaborate effectively in a remote or hybrid work environment. Detail-oriented professionals with strong documentation skills. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 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. Show more Show less

Job Title : Google-Certified Engineer Location : Open Location Type : Full-time Experience Level : Senior-Level Notice Period : Maximum 30 Days Job Summary We are looking for a Google-Certified Engineer with expertise in Google Cloud technologies, certified in one or more professional-level Google Cloud certifications. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based solutions across multiple domains, including architecture, security, DevOps, data engineering, machine learning, and networking. Key Responsibilities Design and implement scalable, secure, and high-performance cloud solutions on Google Cloud Platform (GCP). Work on cloud infrastructure, automation, and DevOps best practices for CI/CD pipelines. Develop and optimize cloud databases, data pipelines, and AI/ML models. Ensure network security, compliance, and risk mitigation across cloud deployments. Architect and deploy highly available cloud networks and security frameworks. Collaborate with cross-functional teams for cloud migrations, automation, and AI/ML implementations. Troubleshoot and optimize cloud applications for cost efficiency, security, and performance. Required Certifications (Any of the following Google Cloud Certifications) : Professional Cloud Architect Professional Cloud Database Engineer Professional Cloud Developer Professional Cloud DevOps Engineer Professional Cloud Network Engineer Professional Cloud Security Engineer Professional Data Engineer Professional Machine Learning Engineer SecOps Tech Credential Maps Technical Credential Certification IDS : CERT-P-CA CERT-P-CDBE CERT-P-CD CERT-P-CNE CERT-P-CSE CERT-P-DE CERT-P-CDE CERT-P-MLE CERT-T-STC CERT-T-MDV Required Skills & Experience 4+ years of experience in Google Cloud Platform (GCP). Strong hands-on experience with GCP services like Compute Engine, Kubernetes Engine, BigQuery, Cloud SQL, Cloud Spanner, IAM, Cloud Run, Cloud Functions, etc. Expertise in Terraform, Kubernetes, Docker, CI/CD, and Infrastructure as Code (IaC). Proficiency in Python, Java, or Go for cloud-based development. Strong understanding of networking, cloud security, and IAM policies. Experience in AI/ML, data engineering, or cloud automation is a plus. Good knowledge of Google Cloud best practices, cost optimization, and performance tuning. Preferred Qualifications Experience in financial services, fintech, or regulated industries is a plus. Hands-on expertise in logging, monitoring, and security compliance frameworks. Excellent problem-solving skills and ability to work in cross-functional teams. (ref:hirist.tech) Show more Show less

Country India Location: RGA Tech Park, 2nd floor Block-2, Survey # 31/1, Chikkannhelli Village, Varthur Hobli, Bangalore East Taluk, Bangalore - 560035, India Role: React and Redux Frontend Developer Location: Bangalore Full/ Part-time: Full Time. Build a Career With Confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do Role Overview As a Lead React Developer, you will be responsible for designing, developing, and maintaining the front-end architecture of our web applications. Your expertise in React, JavaScript, and modern front-end technologies will be crucial in ensuring our products are scalable, performant, and user-friendly. You will work closely with cross-functional teams, including designers, product managers, and backend developers, to deliver high-quality solutions. Key Responsibilities Develop new or modifying user-facing features using React.js and TypeScript. Collaborate with UI/UX designers to implement intuitive and visually appealing user interfaces. Write clean, modular, and maintainable code while adhering to best practices and industry standards. Optimize application performance and troubleshoot issues related to rendering, data fetching, and client-side performance Mentor and guide junior developers, conducting code reviews to ensure quality and maintainability. Contribute to the overall architecture of the application, ensuring scalability and maintainability. Participate in sprint planning, estimation, and backlog grooming within an Agile environment. Required Skills & Qualifications 8-10 years of experience in front-end development, with a strong focus on React Proficiency in JavaScript (ES6+), HTML5, and CSS3 Experience with state management libraries such as Redux, Context API, or similar. Solid understanding of front-end tooling (Webpack, Babel, NPM/Yarn). Hands-on experience with RESTful APIs, Web Sockets, and integration with backend services. Knowledge of React hooks, component lifecycle, and performance optimization techniques Familiarity with testing frameworks (Jest, Mocha, Enzyme, or similar). Experience with Version Control (Git) and collaboration in a distributed team environment. Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication skills, both written and verbal. Understanding of cloud platforms like AWS, Azure, or Google Cloud. Experience with CI/CD tools and practices. Good To Have Skills Experience with Node JS. Familiarity with server-side rendering (SSR) and frameworks like Next.js. Knowledge of UI component libraries like Material-UI, Ant Design, or Bootstrap. Understanding of containerization and deployment using tools like Docker Benefits We are committed to offering competitive benefits programs for all our employees and enhancing our programs when necessary. Make yourself a priority with flexible schedules, parental leave. Drive forward your career through professional development opportunities. Achieve your personal goals with our Employee Assistance Programme. Our Commitment To You Our greatest assets are the expertise, creativity, and passion of our employees. We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice Show more Show less

Job Description We're looking for a developer to deploy a Matrix homeserver on AWS, bridge it with LinkedIn or Instagram, build a React frontend for chat syncing, and layer it with AI features like conversation summaries and intent analysis. Responsibilities Deploy Matrix Synapse on AWS EC2 (free tier). Set up a Mautrix bridge (LinkedIn or Instagram). Configure NGINX and map it to a DuckDNS domain. Build a React/NextJS frontend to sync chats and rooms. Implement AI-based features : daily reports, summarization, vector search, etc. Test functionality via Matrix clients (e. g., Element). Document the build and submit code, demo, and deployed links. Requirements Experience with Docker, Linux, and AWS EC2 Familiarity with Matrix Synapse and chat bridge integrations. Strong frontend skills with React/NextJS. Basic knowledge of NGINX and domain setup. Exposure to NLP tools and frameworks (Hugging Face, FAISS, etc. ) Ability to build and explain full-stack solutions. (ref:hirist.tech) Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Responsibilities Responsible for leading software application frontend design, development, delivery, and maintenance. Translates designs and style guides the UI/UX team provides into functional user interfaces, ensuring cross-browser compatibility and performance. Work with an onshore team to clarify business requirements into product features, acting as a liaison between business and technical teams. Resolve technical issues and provide technical support. Provide technical guidance and assistance to other software engineers. Prepare staffing plan and allotment of resources. Assist the project managers in resolving any issues and conflicts within their projects. Improve customer relations by effective communication, managing expectations, and meeting commitments. Keep abreast of technical and organizational developments in your own professional field. Required Qualifications Bachelor's degree in computer science, information technology, or related area (equivalent work experience will be considered). 1+ years' experience in developing business applications in a full software development life cycle using web technologies. Expertise in HTML5, CSS3, and JavaScript, and familiarity with the latest frontend technologies. Experiences in developing single page applications with Angular2.0 (and above) or React. Responsive design and CSS frameworks, such as Material2, Ant Design and Twitter Bootstrap. Experiences in ES6, TypeScript, and Query language such as GraphQL. Comfortable with a development environment that includes Nginx, Docker, Redis, Node.js, CSS pre-processors SCSS/LESS. Experience using at least one of the following cloud platforms: Azure, AWS, GCP. Prefer deep understanding with Azure DevOps, Azure Synapse Analytics, Databricks, Delta Lake and Lakehouse. Demonstrate the ability to independently design and implement the frontend of an entire business module. Familiarity with the application and integration of Generative AI, Prompt Engineering and Large Language Models (LLMs) in enterprise solutions. Demonstrate excellent interpersonal skills, particularly in balancing requirements, managing expectations, collaborating with team members, and driving effective results. Proactive attitude, ability to work independently, and a desire to continuously learn new skills and technology. Excellent written and verbal communication skills in English. Additional Or Preferred Qualifications Master’s degree in computer science, information technology, or related majors. Technical lead experience. 3+ years’ experience in developing business applications in a full software development life cycle using web technologies. Experience using Azure and either AWS or GCP. Experience with data visualization tools such as Power BI or Tableau. Show more Show less

Key Responsibilities Software Development : Design, develop, test, and deploy high-quality, scalable, and efficient applications using Python. API Development : Build and maintain robust RESTful APIs and microservices to support various functionalities and integrations. Code Quality : Write clean, well-documented, and testable code. Participate actively in code reviews to ensure adherence to coding standards and best practices. Database Interaction : Design database schemas, write efficient queries, and manage interactions with relational (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Problem Solving : Analyze and resolve complex technical issues, bugs, and performance bottlenecks within applications. Collaboration : Work closely with cross-functional teams, including product managers, frontend developers, data scientists, and QA engineers, to understand requirements and deliver integrated solutions. Testing & Deployment : Implement unit, integration, and end-to-end tests to ensure software reliability. Assist in the deployment process, potentially using CI/CD pipelines. Continuous Learning : Stay updated with the latest Python frameworks, libraries, tools, and industry best practices to continuously improve development processes and solutions. Required Skills & Qualifications Experience : Minimum 3-5 years of hands-on experience in Python software development. Python Proficiency : Strong expertise in Python programming and its core libraries. Frameworks : Hands-on experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). API Development : Proven experience in building and consuming RESTful APIs. Databases : Solid understanding of database concepts and practical experience with relational databases (e.g., SQL) and/or NoSQL databases. Version Control : Proficiency with version control systems, especially Git. Problem-Solving : Excellent analytical, problem-solving, and debugging skills. Communication : Strong verbal and written communication skills to articulate technical concepts and collaborate effectively. Education : Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred. Desired Skills (Good To Have) Experience with Microservices architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services. Knowledge of containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps). Familiarity with message brokers/queues (e.g., Kafka, RabbitMQ). (ref:hirist.tech) Show more Show less

Job Title : AI/ML Engineer Location : Bengaluru, India Experience : 6 months - 2 years Company Overview IAI Solutions operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains. Position Summary We are looking for an AI/ML Engineer with a strong background in Python, Flask/FastAPI and Object-Oriented Programming (OOP). The ideal candidate should have significant experience in prompt engineering, open source model fine-tuning, and using the HuggingFace libraries. Additionally, expertise in working with cloud platforms such as AWS SageMaker or similar services for training AI models is essential. Priority will be given to candidates with a research background, particularly those who have successfully fine-tuned and deployed AI models in real-world applications. Key Responsibilities Develop, fine-tune, and deploy AI models using Python and Flask/FastAPI frameworks. Apply prompt engineering techniques to optimize model outputs and improve accuracy. Utilize HuggingFace libraries and other ML tools to build and fine-tune state-of-the-art models. Work on cloud platforms like AWS SageMaker or equivalent to train and deploy AI models efficiently. Collaborate with research teams to translate cutting-edge AI research into scalable solutions. Implement object-oriented programming (OOP) principles and problem-solving strategies in developing AI solutions. Stay updated with the latest advancements in AI/ML and integrate new techniques into ongoing projects. Document and share findings, best practices, and solutions across the engineering team. An Ideal Candidate Will Have Strong proficiency in Python and Flask/FastAPI. Experience in prompt engineering and fine-tuning AI models. Extensive experience with HuggingFace libraries and similar AI/ML tools. Strong experience in AI Agentic Architecture Hands-on experience with cloud platforms such as AWS SageMaker for training and deploying models. Proficiency in Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch Hands-on experience with Docker and Git for version control. Background in AI/ML research, with a preference for candidates from research institutes. Demonstrated experience in training and deploying machine learning models in real-world applications. Solid understanding of object-oriented programming and problem-solving skills. Strong analytical skills and the ability to work independently or in a team environment. Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Must Have Skills Python Object-Oriented Programming (OOP) Prompt engineering HuggingFace libraries and similar AI/ML tools Open Source Model fine-tuning AI Agentic Architecture such as LangGraph and CrewA Docker and Git for version control. Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch Good To Have Deep Learning and Machine Learning AWS SageMaker or similar services for training AI models Previous experience in academic or industrial research, with published work in AI/ML. Proven track record of successful AI model deployments and optimizations. Experience with databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch. Perks & Benefits Work on groundbreaking AI/ML projects in a collaborative and innovative environment. Access to state-of-the-art tools and cloud platforms. Opportunities for professional development and continuous learning. Competitive salary. Join IAI Solutions and help build the future of AI-powered software! (ref:hirist.tech) Show more Show less

Job Title : MuleSoft Administrator Experience : 5+ Years Location : Hyderabad (Hybrid/Onsite) Employment Type : Full-Time Job Summary We are seeking an experienced MuleSoft Administrator to manage, configure, and maintain the MuleSoft Anypoint Platform, ensuring seamless integration solutions for our clients. The ideal candidate will have extensive experience in monitoring, troubleshooting, and optimizing MuleSoft environments, as well as ensuring the overall health and performance of MuleSoft applications. Key Responsibilities Platform Administration : Administer, configure, and maintain the MuleSoft Anypoint Platform (CloudHub, Anypoint Studio, and Mule runtime engine) across different environments (dev, test, and production). Deployment & Monitoring : Handle deployments, updates, and monitoring of MuleSoft applications. Ensure uptime and performance for mission-critical integrations. Troubleshooting : Troubleshoot and resolve any issues related to the MuleSoft platform, including integration, connectivity, and performance issues. Security & Compliance : Implement and manage security policies for API and integration layers, including access controls, encryption, and logging. Performance Optimization : Monitor system performance and perform necessary tuning, including memory, CPU usage, and application logs to maintain optimum system performance. Version Management : Manage versioning and patching of MuleSoft components and integrations to ensure that the environment is up to date. Documentation & Reporting : Maintain technical documentation related to configuration, performance, and troubleshooting guides. Generate and analyze regular reports on platform usage and performance. Collaboration : Work closely with MuleSoft developers, architects, and QA teams to ensure seamless integration and deployment processes. Backup and Disaster Recovery : Implement and test backup and disaster recovery procedures for MuleSoft environments. Required Skills 5+ years of experience in managing MuleSoft environments and Anypoint Platform. Proficient in Anypoint Platform administration, including CloudHub, API Manager, and Anypoint Exchange. Solid experience with MuleSoft runtime engines (Mule 3 and Mule 4), including clustering, load balancing, and high-availability configurations. Strong understanding of API lifecycle management, including monitoring and securing APIs using Anypoint API Manager. Experience in configuring, deploying, and maintaining MuleSoft applications on CloudHub and on-premise environments. Proficient in CI/CD tools and processes (e.g., Jenkins, Maven). Hands-on experience with logging and monitoring tools (e.g., Splunk, ELK Stack, Anypoint Monitoring). Knowledge of cloud platforms (AWS, Azure, GCP) and associated services is a plus. Strong problem-solving and troubleshooting skills in high-pressure environments. Knowledge of security frameworks like OAuth2, SSL, SSO for MuleSoft integrations. Preferred Qualifications MuleSoft Certified Platform Architect or MuleSoft Certified Developer certification. Hands-on experience with DevOps tools and processes. Familiarity with Docker and Kubernetes for container-based deployments. Exposure to working in an Agile/Scrum environment. Experience with network protocols (HTTP, JMS, MQ, FTP) and understanding of integration best practices. (ref:hirist.tech) Show more Show less