Top Remote Jobs in Bangalore

Designs, builds, and maintains ETL/ELT pipelines feeding Microsoft Fabric Lakehouse platforms. Responsibilities include data ingestion, bronze/silver/gold layer development, CDC, incremental loading, data quality, metadata governance, performance tuning, monitoring, automation, and low-level design documentation. The role collaborates with architects, data modelers, and business analysts to deliver reliable, reusable datasets and promote self-service analytics while applying security, resilience, compliance, and cost-optimization standards.

Partners with founders and leadership to turn data into strategic decisions affecting growth, margins, and profitability. Owns analytics from raw data through recommendations, conducts market and competitive analysis, builds business cases, and leads strategic initiatives end-to-end. The role identifies efficiency and monetization opportunities, develops financial models, measures business outcomes, and supports cross-functional decision-making.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Supports regional and global revenue enablement programs, including onboarding, certifications, workshops, webinars, and sales meetings. Manages program coordination, calendars, communications, content repositories, learning pathways, LMS and Zoom administration, and enablement assets. Pulls and analyzes participation and feedback data, identifies adoption and content gaps, and recommends process and program improvements. Partners with enablement leads, marketing, revenue operations, subject matter experts, and cross-functional stakeholders across regions.

Administer, maintain, and optimize GroundTruth's Salesforce: manage users/security, configure objects/automation (Flows, validations, approvals), build reports/dashboards, ensure data quality, support integrations, troubleshoot issues, and train/document for business stakeholders.

Lead end-to-end payroll processing for India, including statutory filings, payments, compliance, exceptions, approvals, journals, and reconciliations. Serve as the country payroll subject matter expert, maintain data integrity, monitor KPIs and SLAs, improve processes, collaborate with cross-functional stakeholders, and mentor payroll specialists. Provide backup support to regional managers and operate effectively in a fast-paced, asynchronous international environment.

Manages record-to-pay activities, supplier and employee payments, reconciliations, three-way match resolution, tax and statutory compliance, payment KPIs, audit support, documentation, and continuous improvement of procure-to-pay processes and tools.

Coordinates and facilitates RFP, RFI, RFQ, and IT/security questionnaire responses for the global Sales team. Evaluates procurement requests, collaborates with technical and sales stakeholders, develops submission plans, manages deadlines, interprets technical requirements, and reviews deliverables for quality, consistency, and accuracy. Supports compelling proposals that communicate the company’s value proposition and help drive revenue growth.

Lead end-to-end quality assurance for monthly Android-based device releases. Mentor test engineers, develop test plans and strategies, and ensure functional, performance, interoperability, and benchmarking coverage. Drive adoption of AI and generative AI tools for test-case and strategy generation. Collaborate across engineering, product, and program teams to integrate testing throughout the SDLC while improving tools, processes, and methodologies.

Lead strategic design, architecture, and hands-on implementation of Elastic Stack and Search AI solutions for enterprise customers. Conduct workshops, gather requirements, develop proofs of concept, optimize queries and clusters, and deliver scalable search platforms. Manage project objectives, dependencies, timelines, and customer relationships. Collaborate with engineering, product, support, and sales teams, provide product feedback, assess technical risks, and mentor team members. Periodic client-site travel of up to 20% is required.