Top Tech Jobs & Startup Jobs in Bangalore

Build and maintain high-performance distributed payment platforms handling millions of transactions. Own functionality end to end, from architecture and design through production launch. Improve system scalability, resilience, reliability, and security while collaborating across teams and time zones. The role involves Java development, code reviews, testable code, and financial infrastructure supporting global merchants and consumers.

Build and maintain platform-level microservices, internal tools, and foundational services using Golang, ReactJS, Docker, Kubernetes, and PostgreSQL. Design scalable distributed architectures, CI/CD pipelines, and secure cloud-ready systems. Support developer experience through libraries, patterns, and documentation while improving observability, reliability, and performance. Collaborate with engineering, DevOps, and product teams on architecture, code reviews, and technical design.

Supports marketing operations by troubleshooting purchase orders, tracking contracts, resolving cost center issues, managing vendor records, and maintaining operational spend reports. Partners with Marketing, Finance, Procurement, Legal, and Accounts Payable to resolve workflow issues, document processes, and improve recurring operations. The role requires strong attention to detail, spreadsheet proficiency, follow-through, and the ability to manage competing requests with moderate autonomy.

Provides technical leadership for support operations involving EDI, API, SFTP, and transaction ecosystems. Leads P1/P2 incident response, advanced troubleshooting, root-cause analysis, backlog governance, SLA adherence, queue health, coaching, and process automation. The role focuses on reducing repeat failures, improving resolution times, maintaining ticket quality, and strengthening team capability through structured escalation management and operational improvements.

Build data models, analytics products, dashboards, and automated reporting using SQL and Python. Translate business questions into actionable analyses, define KPIs, apply statistical and predictive methods, maintain data quality and governance, and communicate findings to nontechnical stakeholders. The role also emphasizes tested, version-controlled code, AI-enabled analytics workflows, and collaboration across Sales, Product, Engineering, Finance, and Commercialization.

Lead customer onboarding and optimization for LogicMonitor’s internet performance monitoring platform. Analyze digital services, investigate bottlenecks across DNS, CDNs, networks, applications, and browsers, and configure synthetic tests. Present actionable performance recommendations, advise customers, collaborate with Engineering, Product, Support, and Customer Success, and mentor internal team members while improving delivery quality and workflows.

Own analytics for Words With Friends Instant, providing insights on player behavior, product performance, experimentation, revenue, retention, and engagement. Design statistical experiments, dashboards, telemetry, and ETL pipelines; analyze trends and feature health; maintain data tools and models; and communicate recommendations to product, engineering, design, and executive stakeholders. The role also supports AI initiatives and optimization of the player experience.

Lead the design, development, automation, and reporting of integration and system tests across firmware, BMC, Linux device drivers, and hardware. Own test strategy, infrastructure, feature validation, debugging, bug triage, root-cause analysis, CI/CD automation, code reviews, and quality improvements. Collaborate with hardware, software, and QA teams, mentor junior engineers, drive corrective actions, and provide technical leadership for complex system software testing.

Build and maintain scalable batch and streaming data pipelines supporting marketing analytics and targeting. Responsibilities include integrating and cleansing data, implementing quality checks, monitoring and alerting, maintaining data dictionaries, troubleshooting anomalies, onboarding data sources, and participating in code reviews. The role requires SQL, Python, distributed processing knowledge, production pipeline experience, testing, version control, CI/CD familiarity, and collaboration with cross-functional teams.

Design and implement production-grade AI and machine learning solutions, including scalable GenAI applications, RAG pipelines, ML platforms, data pipelines, and distributed cloud systems. Collaborate with architects and client-facing teams, write tested and maintainable code, conduct technical research and proofs of concept, participate in Agile delivery, troubleshoot production issues, review code, estimate work, and mentor engineers.