What Front End Frameworks Jobs are in Bangalore?

**Advance Python Programming, Automation Frameworks JD:**
- Automate common ServiceNow request workflows related to data platform access, onboarding, approvals, fulfilment, and operational requests.
- Build or enhance self-service applications that integrate with ServiceNow and raise requests on behalf of users.
- Develop automated backup scripts and scheduled jobs for platform components such as Databricks Unity Catalog/metastore, Dremio metadata, configuration, ADLS objects, and other platform assets.
- Build tested restore scripts and runbooks for Dremio metadata, Databricks views, catalog objects, platform configurations, and other recoverable assets.
- Support ADLS disaster recovery planning, backup validation, failover readiness, and recovery testing.
- Responsible for both development and strong expertise to debug and fix any post production issues
- Create reusable scripts, notebooks, templates, and automation patterns for Databricks workloads, views, jobs, and pipelines.
- Work with platform users to review and optimize Databricks pipelines, improve performance, reduce cost, and promote reusable engineering patterns.
- Develop and maintain Terraform modules for Azure/GCP infrastructure used by the data platform.
- Build and maintain CI/CD pipelines using GitHub Actions/GitHub runners for deploying infrastructure, scripts, configurations, and platform automation.
- Help reduce repetitive operational work by identifying automation opportunities and implementing robust, reusable solutions.
- Own automation tasks end-to-end, from requirements gathering through development, testing, deployment, and support handover.
- **Leads: Role is 70% of time in Design, Architect, Coding and 30% of time in team mentoring, guidance, coordination**
- **Required Technical Skills:**
o Strong scripting experience using Python, Bash, PowerShell, or similar languages.
o Ability to build production-ready automation scripts.
o Experience integrating with ServiceNow APIs, automating ticket creation, request fulfilment, approvals, and workflow-driven processes.
o Good working knowledge of Databricks workspaces, jobs, notebooks, clusters, SQL warehouses, Unity Catalog/metastore concepts, views, and pipeline optimization.
o Responsible for both development and strong expertise to debug and fix any post production issues for their developed code
o Experience or willingness to learn Dremio administration, metadata backup/restore, source configuration, reflections, spaces, folders, and operational support.
o Experience with Azure Data Lake Storage, storage accounts, RBAC, managed identities, private networking, and disaster recovery concepts.
o Ability to design, automate, test, and document backup and restore processes for data platform metadata, configurations, and platform assets.
o Strong Terraform knowledge, including module development, state management, variables, providers, workspaces, and reusable infrastructure patterns.
o Strong Azure experience required.
o Ability to work with REST APIs, authentication mechanisms, secrets, tokens, and service principals.
- **Nice to have skills**
o Azure DevOps, Azure Functions, Logic Apps, Key Vault, Event Grid, Automation Accounts.
o Delta Lake, Unity Catalog permissions, job orchestration, DLT, cluster policies, cost/performance optimization.
o Dremio REST APIs, reflection management, source automation, backup/restore testing, Kubernetes/AKS deployment knowledge.
o AKS/GKE experience, Helm, kubectl, YAML-based deployments.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Senior Software Engineer, ML Compiler, Frameworks and Performance
_corporate_fare_ Google _place_ Bengaluru, Karnataka, India
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience with software development in C++ or Python programming languages.
+ Experience in machine learning (ML) infrastructure development or ML performance engineering.
**Preferred qualifications:**
+ Experience with ML compilers and their internals, experience writing compiler optimization passes.
+ Experience with accelerator HW architectures (TPUs/GPUs).
+ Experience with ML Inference frameworks such as vLLM, SG Lang, Pathways.
+ Experience with ML frameworks such as TensorFlow, JAX, PyTorch, Keras.
**About the job**
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Build and improve the next generation of ML Infrastructure at Google. Our team is part of the Core ML organization which is the central machine learning organization that provides ML software tools and hardware infrastructure to all the Google product areas and is driving ML excellence for Google and the world. From ML frameworks to performance debugging and tooling, from ML efficiency to applied ML, our team is involved in various aspects of AI and infrastructure that is pushing the ML frontier across all of Google.
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**
+ Focus around driving continuous improvements to the machine learning software/hardware stack for Google first-party teams, and for Google Cloud Platform customers.
+ Develop an intuitive understanding of various parts of Google's ML training and serving stack with deep introspection across Frameworks (JAX, PyTorch), Accelerated Linear Algebra (XLA) and runtime stack.
+ Identify opportunities to improve the efficiency of the ML workloads through insightful performance debugging for workloads and custom kernels and build solutions to deliver those improvements.
+ Partner with other teams that own various parts of the ML stack to understand performance optimization use cases. Work with OSS ML inference frameworks such as TorchTPU, vLLM, SGLang to provide insights into performance bottlenecks.
+ Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the stack and performance analysis tools.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
Job Description
When you join us at Thermo Fisher Scientific, you'll become a member of a hard-working, motivated team that aligns with your enthusiasm for exploration and discovery. With revenues exceeding $40 billion and the largest investment in R&D in the industry, we provide our people with resources and opportunities to make significant contributions to the world.
How will you make an impact
Work on backend platform software that powers advanced scientific instruments used in semiconductors, life sciences, and materials research. We are seeking an experienced (6-10 years) to drive the development, enhancement, and adoption of an advanced automation platform with AI/ML-enabled capabilities. This role will technically Python automation engineers, architect robust automation solutions using Behavior-Driven Development (BDD) frameworks and integrate LLM services (Azure OpenAI preferred) to accelerate test authoring, classification, and execution.
What will you do
· Design, Develop, and maintain a scalable QA tool/framework for desktop and web applications using Python, PyTest, PowerShell, Node.js, and related technologies.
· Architect and maintain BDD-based automation frameworks, including reusable step libraries and mapping of BDD steps to UI objects/actions.
· Development of Python modules for BDD step classification, data extraction, and AI-driven prompt pipelines.
· Architect and manage data pipelines for processing, classifying, and mapping BDD steps to automation objects, including structured data handling (CSV/JSON).
· Oversee integration with Azure OpenAI and other LLM services, leveraging orchestration libraries such as LangChain (or similar).
· Drive configuration management, file handling, and execution consistency across developer machines and CI agents.
· Collaborate with QA, DevOps, and Product/Engineering teams to integrate automation into CI/CD pipelines (e.g., Jenkins) and release workflows.
· Mentor and manage a team of automation engineers-setting best practices, enforcing code quality, and ensuring consistent delivery.
· Own and improve the platform's deployment and onboarding ("start-to-use") experience, including validation checks, troubleshooting guidance, and user enablement documentation.
· Drive continuous improvement in automation strategy, framework reliability, reporting, and scalability.
Desirable Skills
· Hands-on experience with LangChain, OpenAI SDKs, and/or Azure AI services in production use cases.
· Exposure to Agentic AI concepts and practical usage of GitHub Copilot (GHCP) or similar AI-assisted development tools to enhance automation productivity and code quality.
· Familiarity with modular software architecture, design patterns, and scalable framework design.
· Experience building enterprise-grade automation platforms with strong focus on observability, reporting, and long-run stability.
· Background in scientific, engineering, or regulated environments.
Preferred Qualifications
· BTech degree in Computer Science, Electronics, or a related technical field (or equivalent practical experience).
· Experience operating in regulated or security-focused environments require auditability and traceability.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**Meet the Team**
As an AI Researcher within this dynamic and impactful team, you will be at the forefront of driving Cisco's success by architecting the next generation of AI-led sales intelligence. Your mission is to transform complex enterprise data into unparalleled insights that optimize sales performance and operational efficiency across the global Cisco ecosystem.
**Your Impact**
In this role, you will lead the research and development of innovative AI methodologies that power our critical sales applications, including My Business Reports (MBR), Intelligence Center, One Sales BO (OSBO), and Visibility. You will bridge the gap between theoretical breakthroughs and the practical delivery of tools that sellers use to identify growth opportunities.
+ Conduct original research to advance the state-of-the-art in AI specifically for Go-To-Market (GTM) use cases, exploring novel ways to enhance the Intelligence Center and MBR through deep learning, natural language processing, and predictive modeling.
+ Design and fine-tune complex neural network architectures that drive "Next Best Action" logic and propensity models, writing high-performance code to ensure accurate, real-time insights.
+ Create rigorous experimental setups and proof-of-concepts for new AI features, collaborating with data engineers to ensure the data foundation for sales applications is clean, governed, and optimized for large-scale AI reasoning.
+ Partner with Sales Strategy, Engineering, and Product teams to translate research findings into tangible customer outcomes, ensuring AI-driven insights are integrated seamlessly into the daily workflows of Cisco's sales force.
+ Document and share research breakthroughs to position Cisco as a leader in AI-driven sales operations, while mentoring colleagues and fostering a culture of innovation.
**Minimum Qualifications**
+ Ph.D. or research-heavy Master's degree in AI, Computer Science, or a related field.
+ Alternatively, a Bachelor's degree with 10+ years of experience with a focus on applying theory to complex business datasets.
+ Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
+ Experience in building scalable AI pipelines.
+ Demonstrated ability to architect AI-driven intelligence solutions that impact business outcomes.
**Preferred Qualifications**
+ Familiarity with sales lifecycles, CRM data, and financial metrics.
+ Proven ability to think beyond existing boundaries to create innovative AI solutions.
+ Experience in mentoring data scientists and analysts.
+ Strong communication skills for internal knowledge sharing and external publications.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.