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

About Us:

We are a technology-driven financial services firm specializing in providing high-performance trading platforms and broking

solutions. Our products serve top brokers and trading institutions across the capital markets. With innovation at our core,

we build scalable and secure systems that keep the financial markets running smoothly. For more details, pls visit:

https://tradelab.in/

Role Summary:

We are seeking experienced Application Support Engineers to join our client-facing support team. The ideal candidate will

be the first point of contact for client issues, ensuring timely resolution, clear communication, and high customer satisfaction

in a fast-paced trading environment.

Key Responsibilities:

• Act as the primary contact for clients reporting issues related to trading applications and platforms.

• Log, track, and monitor issues using internal tools and ensure resolution within defined TAT (Turnaround Time).

• Liaise with development, QA, infrastructure, and other internal teams to drive issue resolution.

• Provide clear and timely updates to clients and stakeholders regarding issue status and resolution.

• Maintain comprehensive logs of incidents, escalations, and fixes for future reference and audits.

• Offer appropriate and effective resolutions for client queries on functionality, performance, and usage.

• Communicate proactively with clients about upcoming product features, enhancements, or changes.

• Build and maintain strong relationships with clients through regular, value-added interactions.

• Collaborate in conducting UAT, release validations, and production deployment verifications.

• Assist in root cause analysis and post-incident reviews to prevent recurrences.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, IT, or related field.

• 2+ years in Application/Technical Support, preferably in the broking/trading domain.

• Sound understanding of capital markets – Equity, F&O, Currency, Commodities.

• Strong technical troubleshooting skills – Linux/Unix, SQL, log analysis.

• Familiarity with trading systems, RMS, OMS, APIs (REST/FIX), and order lifecycle.

• Excellent communication and interpersonal skills for effective client interaction.

• Ability to work under pressure during trading hours and manage multiple priorities.

• Customer-centric mindset with a focus on relationship building and problem-solving.

Nice to Have:

• Exposure to broking platforms like NOW, NEST, ODIN, or custom-built trading tools.

• Experience interacting with exchanges (NSE, BSE, MCX) or clearing corporations.• Knowledge of scripting (Shell/Python) and basic networking is a plus.

• Familiarity with cloud environments (AWS/Azure) and monitoring tools.

Why Join Us?

• Be part of a team supporting mission-critical systems in real-time.

• Work in a high-energy, tech-driven environment.

• Opportunities to grow into domain/tech leadership roles.

• Competitive salary and benefits, health coverage, and employee wellness programs.

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

Looking for an experienced Cloud Engineering & DevOps Leader with proven

expertise in building and managing large-scale SaaS platforms in the financial services or

high-transaction domain. The ideal candidate will have a strong background in AWS cloud

infrastructure, DevOps automation, compliance frameworks (ISO, VAPT), and cost

optimization strategies.

Cloud Platforms: AWS (Lambda, EC2, VPC, CloudFront, Auto Scaling, etc.)

● DevOps & Automation: Python, CI/CD, Infrastructure as Code, Monitoring/Alerting

systems

● Monitoring & Logging: ELK stack, Kafka, Redis, Grafana

● Networking & Virtualization: Virtual Machines, Firewalls, Load Balancers, DR

setup

● Compliance & Security: ISO Audits, VAPT, ISMS, DR drills, high-availability

planning

● Leadership & Management: Team leadership, project management, stakeholder

collaboration

Preferred Profile

● Experience: 15–20 years in infrastructure, cloud engineering, or DevOps roles, with

at least 5 years in a leadership position.

● Domain Knowledge: Experience in broking, financial services, or high-volume

trading platforms is strongly preferred.

● Education: Bachelor’s Degree in Engineering / Computer Science / Electronics or

related field.

● Soft Skills: Strong problem-solving, cost-conscious approach, ability to work under

pressure, cross-functional collaboration.

🚀 RECRUITING BOND HIRING

Role: CLOUD OPERATIONS & MONITORING ENGINEER - (THE GUARDIAN OF UPTIME)

⚡ THIS IS NOT A MONITORING ROLE

THIS IS A COMMAND ROLE

You don’t watch dashboards.

You control outcomes.

You don’t react to incidents.

You eliminate them before they escalate.

This role powers an AI-driven SaaS + IoT platform where:

---> Uptime is non-negotiable

---> Latency is hunted

---> Failures are never allowed to repeat

Incidents don’t grow.

Problems don’t hide.

Uptime is enforced.

🧠 WHAT YOU’LL OWN

(Real Work. Real Impact.)

🔍 Total Observability

---> Real-time visibility across cloud, application, database & infrastructure

---> High-signal dashboards (Grafana + cloud-native tools)

---> Performance trends tracked before growth breaks systems

🚨 Smart Alerting (No Noise)

---> Alerts that fire only when action is required

---> Zero false positives. Zero alert fatigue

Right signal → right person → right time

⚙ Automation as a Weapon

---> End-to-end automation of operational tasks

---> Standardized logging, metrics & alerting

---> Systems that scale without human friction

🧯 Incident Command & Reliability

---> First responder for critical incidents (on-call rotation)

---> Root cause analysis across network, app, DB & storage

Fix fast — then harden so it never breaks the same way again

📘 Operational Excellence

---> Battle-tested runbooks

---> Documentation that actually works under pressure

Every incident → a stronger platform

🛠️ TECHNOLOGIES YOU’LL MASTER

☁ Cloud: AWS | Azure | Google Cloud

📊 Monitoring: Grafana | Metrics | Traces | Logs

📡 Alerting: Production-grade alerting systems

🌐 Networking: DNS | Routing | Load Balancers | Security

🗄 Databases: Production systems under real pressure

⚙ DevOps: Automation | Reliability Engineering

🎯 WHO WE’RE LOOKING FOR

Engineers who take uptime personally.

You bring:

---> 3+ years in Cloud Ops / DevOps / SRE

---> Live production SaaS experience

---> Deep AWS / Azure / GCP expertise

---> Strong monitoring & alerting experience

---> Solid networking fundamentals

---> Calm, methodical incident response

---> Bonus (Highly Preferred):

---> B2B SaaS + IoT / hybrid platforms

---> Strong automation mindset

---> Engineers who think in systems, not tickets

💼 JOB DETAILS

📍 Bengaluru

🏢 Hybrid (WFH)

💰 (Final CTC depends on experience & interviews)

🌟 WHY THIS ROLE?

Most cloud teams manage uptime. We weaponize it.

Your work won’t just keep systems running — it will keep customers confident, operations flawless, and competitors wondering how it all works so smoothly.

📩 APPLY / REFER : 🔗 Know someone who lives for reliability, observability & cloud excellence?

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

SDE 2 / SDE 3 – AI Infrastructure & LLM Systems Engineer

Location: Pune / Bangalore (India)

Experience: 4–8 years

Compensation: no bar for the right candidate

Bonus: Up to 10% of base

About the Company

AbleCredit builds production-grade AI systems for BFSI enterprises, reducing OPEX by up to 70% across onboarding, credit, collections, and claims.

We run our own LLMs on GPUs, operate high-concurrency inference systems, and build AI workflows that must scale reliably under real enterprise traffic.

Role Summary (What We’re Really Hiring For)

We are looking for a strong backend / systems engineer who can:

• Deploy AI models on GPUs
• Expose them via APIs
• Scale inference under high parallel load using async systems and queues

This is not a prompt-engineering or UI-AI role.

Core Responsibilities

• Deploy and operate LLMs on GPU infrastructure (cloud or on-prem).
• Run inference servers such as vLLM / TGI / SGLang / Triton or equivalents.
• Build FastAPI / gRPC APIs on top of AI models.
• Design async, queue-based execution for AI workflows (fan-out, retries, backpressure).
• Plan and reason about capacity & scaling:
• GPU count vs RPS
• batching vs latency
• cost vs throughput
• Add observability around latency, GPU usage, queue depth, failures.
• Work closely with AI researchers to productionize models safely.

Must-Have Skills

• Strong backend engineering fundamentals (distributed systems, async workflows).
• Hands-on experience running GPU workloads in production.
• Proficiency in Python (Golang acceptable).
• Experience with Docker + Kubernetes (or equivalent).
• Practical knowledge of queues / workers (Redis, Kafka, SQS, Celery, Temporal, etc.).
• Ability to reason quantitatively about performance, reliability, and cost.

Strong Signals (Recruiter Screening Clues)

Look for candidates who have:

• Personally deployed models on GPUs
• Debugged GPU memory / latency / throughput issues
• Scaled compute-heavy backends under load
• Designed async systems instead of blocking APIs

Nice to Have

• Familiarity with LangChain / LlamaIndex (as infra layers, not just usage).
• Experience with vector DBs (Qdrant, Pinecone, Weaviate).
• Prior work on multi-tenant enterprise systems.

Not a Fit If

• Only experience is calling OpenAI / Anthropic APIs.
• Primarily a prompt engineer or frontend-focused AI dev.
• No hands-on ownership of infra, scaling, or production reliability.

Job Title: Retail Store Manager (Apparel Retail Brand)

Location: Bangalore, Hyderabad

Experience: 10+ year in Apparel retail store operation in Large Apparel retail Brand

Salary: Negotiable

Industry: Fashion/Retail

Qualification: Any Graduate/Post Graduate

Retail operation experience with good Apparel brand, managing store independently.

Should have understanding of 1) Sales - ABV, UPT, Conversion, Footfall; 2) Cost - Shrinkage (how to control this); 3) People - how are they managing people reporting to them; 4) Service - Mystery shopper

Key Deliverables (Essential functions & Responsibilities of the Job):

As a Store Manager, you will lead the operations of your business unit while ensuring a seamless shopping experience for customers. Your key responsibilities will include:

1. Operational Leadership:

•        Day-to-Day Management: Oversee the smooth running of the store, maintaining high standards across all operations, and ensuring legal compliance, particularly regarding pricing and product display.

•        Procedure Adherence: Execute operational procedures efficiently, ensuring consistency and excellence in areas such as housekeeping, fitting rooms, and checkout processes.

•        Quality Control: Monitor product quality, address any issues swiftly, and communicate feedback to the merchandising team to uphold superior product standards.

2. Sales & Performance Management:

•        Target Achievement: Drive and monitor the achievement of sales goals for your department. You will also play a key role in setting realistic yet ambitious targets, with the flexibility to adapt based on performance trends.

•        Sales Analysis: Track sales performance continuously, taking timely corrective actions when necessary to meet or exceed sales objectives.

•        Team Communication: Regularly share updates on department, store, and regional performance with your team, ensuring transparency and motivating everyone towards common goals.

3. Customer Experience:

•        Customer Service Excellence: Lead by example in delivering exceptional customer service, creating a welcoming atmosphere for every visitor.

•        Building Relationships: Understand customer needs, cultivate rapport, and establish loyal relationships with key clientele.

•        Handling Feedback: Take ownership of customer complaints and queries, ensuring timely and satisfactory resolutions that turn challenges into positive outcomes.

4. Visual Merchandising & Store Presentation:

•        Merchandising Standards: Ensure that all visual merchandising guidelines are followed to create an attractive and engaging shopping environment.

•        Continuous Improvement: Provide constructive feedback to visual merchandisers to enhance the stores visual appeal and product presentation.

5. Shrinkage & Inventory Control:

•        Loss Prevention: Implement best practices to minimize shrinkage by training staff on merchandise handling and stock protection, safeguarding store assets.

6. Team Development & Leadership:

•        Training & Development: Facilitate on-the-job training, product knowledge sessions, and visual merchandising workshops to equip your team with the skills needed for success.

•        Role Clarity & Task Delegation: Clearly define roles and responsibilities for each team member, ensuring accountability and efficient task management.

•        Constructive Feedback: Regularly provide feedback that helps your team identify strengths and areas for improvement, fostering continuous personal and professional growth.

•        Motivation & Engagement: Inspire your team to not only meet sales targets but also to follow operational procedures with enthusiasm and dedication.

7. Cashier Support & Training:

•        Support & Supervision: Assist in the training of cashiers and provide ongoing support to ensure smooth operations at checkout, contributing to a positive customer experience.

Mail upated resume with salary details:

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

Website: www.glansolutions.com

Google search: Glan Management Consultancy

As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.

Responsibilities

✅ Design, implement, and manage cloud infrastructure (primarily Azure)

✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

✅ Monitor and optimize server performance & uptime (100% uptime goal)

✅ Work with cPanel-based hosting environments and ensure seamless operation

✅ Implement security best practices & compliance measures

✅ Troubleshoot system issues, scale infrastructure, and enhance reliability

Requirements

🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)

🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)

🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes

🔹 Strong knowledge of Linux system administration & networking

🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)

🔹 Security-first mindset & automation-driven approach

Why Join Us?

🚀 Work at a fast-growing startup backed by Microsoft

💡 Lead high-impact DevOps projects in a cloud-native environment

🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai

💰 Competitive salary ₹12-30 LPA based on experience

How to Apply?

📩 Apply now & follow us for future updates:

🔗 X (Twitter): https://x.com/CygenHost

🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/

🔗 Instagram: https://www.instagram.com/cygenhost

Would you like any modifications before posting this? Or should I move on to the next role? 🚀

∙ Tele consult incoming Buyers, assisting them throughout their property search. ∙

Attend inbound requests and queries on selected units, scheduling/confirming site visits with trained team members for site visits. ∙

Understand the buyer's requirements, update all details in the portal, suggest best options, collect feedback, educate the buyer on facts and real estate appreciations, and guide the buyer to a decision.

∙ Moderate negotiations or forward interested buyer profiles to a team of experts for negotiations and settlement.

• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the design and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Contribute intellectual property through patents.

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• A Bachelor's degree in Computer Science or related technical discipline.
• 3+ years of Software Development experience.
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Strong coding and problem solving skills.

• Experience working with service oriented architectures and web-based solutions.
• Experience in eCommerce and deep hands-on technical expertise
• Experience working on the AWS technologies.
• Experience with NoSQL and relational databases.
• Excellent verbal and written communication skills
• Experience working on Agile processes (Scrum, Kanban).