11+ Oracle ASM Jobs in Bangalore (Bengaluru) | Oracle ASM Job openings in Bangalore (Bengaluru)

Job Title : Python Backend Lead / Senior Python Developer

Experience : 6 to 10 Years

Location : Bangalore (CV Raman Nagar)

Openings : 8

Interview Rounds : 1 Virtual + 1 In-Person (Face-to-Face with Client)

Note : Only local Bangalore candidates will be considered

About the Role :

We are seeking an experienced Python Backend Lead / Senior Python Developer to design, develop, and optimize scalable backend solutions.

The role involves working with large-scale data, building efficient APIs, integrating middleware solutions, and ensuring high performance and reliability.

You will lead a team of developers while also contributing hands-on to coding, design, and architecture.

Mandatory Skills : Python (Pandas, NumPy, Matplotlib, Plotly), FastAPI/FlaskAPI, SQL & NoSQL (MongoDB, CRDB, Postgres), Middleware tools (Mulesoft/BizTalk), CI/CD, RESTful APIs, OOP, OOD, DS & Algo, Design Patterns.

Key Responsibilities :

• Lead backend development projects using Python (FastAPI/FlaskAPI).
• Design, build, and maintain scalable APIs and microservices.
• Work with SQL and NoSQL databases (MongoDB, CRDB, Postgres).
• Implement and optimize middleware integrations (Mulesoft, BizTalk).
• Ensure smooth deployment using CI/CD pipelines.
• Apply Object-Oriented Programming (OOP), Design Patterns, and Data Structures & Algorithms to deliver high-quality solutions.
• Collaborate with cross-functional teams (frontend, DevOps, product) to deliver business objectives.
• Mentor and guide junior developers, ensuring adherence to best practices and coding standards.

Required Skills :

• Strong proficiency in Python with hands-on experience in Pandas, NumPy, Matplotlib, Plotly.
• Expertise in FastAPI / FlaskAPI frameworks.
• Solid knowledge of SQL & NoSQL databases (MongoDB, CRDB, Postgres).
• Experience with middleware tools such as Mulesoft or BizTalk.
• Proficiency in RESTful APIs, Web Services, and CI/CD pipelines.
• Strong understanding of OOP, OOD, Design Patterns, and DS & Algo.
• Excellent problem-solving, debugging, and optimization skills.
• Prior experience in leading teams is highly desirable.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

About the Company

We are a young, fast-moving startup building products where design directly influences how users think, feel, and interact. You will be working closely with the founders and will have real ownership over shaping the brand and product experience.

What You Will Do

• Design digital assets for product interfaces, marketing campaigns, and brand materials.

• Work with engineers to ensure smooth, accurate design-to-development handoff.

• Create visuals, presentations, and basic motion content using Figma, Canva, and video tools.

• Contribute ideas during brainstorming sessions and help evolve the startup’s overall design language.

• Assist in building UI layouts, design systems, and prototypes for web and product experiences.

• Maintain design consistency and clarity across all user and brand touchpoints.

Important

All shortlisted candidates will be required to complete an assignment as part of the selection process.

We’re hiring a Maximo Technical Lead with hands-on experience in Maximo 7.6 or higher, Java, and Oracle DB. The role involves leading Maximo implementations, upgrades, and support projects, especially for manufacturing clients.

Key Skills:

IBM Maximo (MAS 8.x preferred)

Java, Oracle 12c+, WebSphere

Maximo Mobile / Asset Management / Cognos / BIRT

SQL, scripting, troubleshooting

Experience leading tech teams and working with clients

Good to Have:

IBM Maximo Certification

MES/Infrastructure planning knowledge

Experience with Rail or Manufacturing domain

https://lnkd.in/getubzJd

Experience : 4 - 8 Years

Primary Skills

• BE/BTech/MTech with 1 year of experience in .NET Framework like C#.Net and ASP.Net
• Atleast 1 year of experience on Web Application development with ADO.Net, HTML, CSS, JavaScript/Jquery
• Good experience in Writing Complex SQL Queries using any of the RDBMS Database like Oracle, SQL Server etc
• Experience in Creating and Testing Stored Procedures and Functions

Secondary Skills

• Ability to analyse the existing code in the application and identify the Program Logic
• Experience in implementing AJAX through Javascript/Jquery
• Experience in Creating Reports and Documents using Crystall Reports
• Experience in creating Front End Validations using JavaScript/Jquery
• Experience in doing Manual or Automated Test will be a plus

Desired Skills

• Good communication Skills
• Good conceptualization skills
• Good visualization ability
• Good analytical capability
• Quality focused
• Good problem solving ability

Location : Bangalore

Desired Candidate Profile

Wooqer is on a mission to create a SuperApp for Operations where business users can create, find, and discover virtually any app that makes them deliver better results everyday. By enabling users to act fast, make data driven everyday decisions and a wide selection of industry/cross-industry best practices, Wooqer is emerging as the go to business platform. To fuel our continued innovation led growth, we invite the best technology and business minds to join the team and live up a startup experience, by creating one for our customers.

We are now looking for an experienced sales person, team leader and growth hacker who is ready for a huge challenge alongside a massive opportunity. This is a brand-new team and you- will build this grounds up and at a superfast pace.

Our sales leader builds sales outreach capability and capacity delivering on revenue goals for Wooqer! You establish the outreach engine through ongoing market research for opportunities, A/B testing the pilot pitch, defining the sales structure and process, hiring and training SDR- s, establishing an incentive plan for sales teams, and leading closures by example.

- You will refine Wooqer offering for a target market, generate and calibrate winning buying propositions, define a metrics framework to continuously refine the outreach to build a repeatable and predictable revenue engine.

- You will work closely with product marketing, revenue leadership, customer success leadership and business heads to create new products through market feedback loop.

- The successful candidate for this very high impact role will be a self-starter with a passion for sales, salespeople and data! You can persuade trees and motivate mountains! You- ll have exemplary communication skills, boundless energy, strong writing skills, and show strong ownership and commitment.

Basic Qualifications

- You should love selling!
- You will have experience in a leadership role in a high growth SaaS sales team.
- You are a great sales recruiter and coach. You- d have built a winning sales team (irrespective of size).
- You are a great communicator with ability to listen to the needs of all stakeholders, and than able to communicate your vision to all levels of stakeholders.
- You will have very strong numerical, analytical and problem solving aptitude as well as passion for data.
- A Btech from a top tier tech school with minimum of 5 years sales/revenue experience. If you have an MBA and still hungry to build, apply anyway.
- Passion for acting on a vision with excellent sense of humor!