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House Keeping Janitorial in Bengaluru

171 active opportunities · Updated October 2026

Explore current house keeping janitorial jobs in Bengaluru. Filter by work mode, employment type, experience, department, date posted and distance.

SI
📍 Bengaluru, KARNATAKA, India
✓ Quality checkedCompany trend -64.7%

housekeeping work Address: KIADB Jakkasandra Industrial Area Sy. No. 20/1. 20/2P. 20/3. 21/2P. 21/3P. 21/4P. 21/5P 21/6P. 26/1 26/2P 26/3P 26/4P 26/5P 26/6 & 27/P Jakkasandra Industrial Area Kasaba Hobli Malur Taluk Kolar District. Facility: TATA ELECTRONICS SYSTEM SOLUTION - FS Qualification: Not Specified Experience: 2 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP575922

P
📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As Database Support Engineer, you’ll support various critical database platforms across Development, QA, UAT, and Production environments. The role partners closely with application teams, application support, and database engineers and operates within a Follow‑the‑Sun model to ensure availability, performance, and reliability of database services. Key responsibilities include: • Provide operational support for enterprise database platforms in both on-prem private cloud and public cloud • Monitor database health, capacity, performance, and availability, and respond to alerts, diagnose issues, and perform timely remediation • Perform routine maintenance activities (patching, upgrades, housekeeping etc) • Troubleshoot database‑related incidents and collaborate on root cause analysis • Work closely with application owners, application support teams, and DB Engineers • Provide guidance on database best practices and operational standards • Participate in cross‑team problem resolution and continuous improvement initiatives • Contribute to design, implementation and testing of automation and self service capabilities of DB platforms • Drive continuous improvement, identifying opportunities to reduce toil and increase platform efficiency. • Participate in a Follow‑the‑Sun operating model, including shift‑based coverage and handoffs WHAT’S REQUIRED • Bachelor’s degr

PythonSQLPostgreSQLMongoDB
C
📍 Bengaluru, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Job Title: Assistant – Operations Employment Type: Contract (12 months) Location: Bengaluru, India Work Type: Office-based Experience: 1–1.5 years About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities • Biometric & Access Management: Manage biometric attendance systems and employee access control. Activate access for new joiners and deactivate access for exiting employees. Coordinate maintenance and troubleshooting of biometric devices. Maintain and update biometric and access trackers. • CCTV Monitoring & Maintenance: Monitor CCTV systems and ensure proper functioning. Maintain CCTV time synchronization and recording accuracy. Coordinate with vendors/service providers for maintenance and issue resolution. • Security & Housekeeping Coordination: Supervise security and housekeeping operations. Manage attendance and manpower allocation for security/HK staff. Ensure workplace cleanliness, safety, and operation

AILeanFinanceClinical
H
📍 Bengaluru, KARNATAKA, India· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Senior Software Engineer (Backend) About Team Cloud Platform Engineering group designs, builds and manages platforms that allow Myntra’s tech product to be secured, reliable, deployed and run at scale. These horizontal platforms leverage cloud hosting platforms and ensure all Myntra’s hostings are agnostic to Cloud vendor. We also build a number of production automation like provisioning of infrastructure at scale and manage complex access management on servers. We have developed numerous in-house tools and platform for load/stress testing, zero trust, security and compliance, CI/CD, Observability at scale. And, we aggressively adopt from open sources and try to contribute back to the community. Tools and Platform Engineering This team builds and maintains centralized and high-scale platforms for Observability (centralized log collection, metric systems, monitoring systems), Security & Compliance (access management, secret management, database access, change management systems, Authentication and Authorization of services etc). The platforms developed by these teams are centralized tools used by all engineering teams for database access, and changes, infrastructure provisioning, on-call scheduling, onboarding new monitoring etc. The vault system and APIs, developed, deployed and managed by this team, is being used by all Myntra’s production services. This team consists of full-stack developers who are skilled in Python, Golang, ReactJs. Roles and Responsibilities Design, build and maintain central platform products to improve the security posture of Myntra Write maintainable, scalable, and efficient code. Design and architect technical solutions for the developer community at Myntra Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, code reviews, etc. Follow scrum sprint cycles and commitment to deadlines. Identify security gaps in or for software platforms and incorporate them into requirements

PythonReactSQLAzure
A
📍 Bengaluru, India
✓ Quality checkedCompany trend -100%

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

PythonMachine LearningAI
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