Top Tech Jobs & Startup Jobs in Bangalore

Define enterprise ServiceNow platform vision, architecture standards, governance frameworks, integration and data-model strategies. Advise executives, architects, delivery teams, partners, and product groups on scalable platform decisions. Facilitate governance forums, mitigate performance and technical-debt risks, promote leading practices, and guide multiple teams toward a unified enterprise architecture. Travel of up to 50% annually may be required.

Develop and maintain scalable full-stack applications using .NET, C#, ASP.NET Core, Angular, Azure, and SQL Server. Implement features, REST APIs, microservices, automated tests, CI/CD pipelines, and enterprise integrations. Participate in code reviews, troubleshooting, performance optimization, and deployment. Collaborate with product owners, architects, QA teams, and cross-functional stakeholders while applying Agile practices and AI-assisted development tools.

Lead and scale global compliance and certification programs (SOC 2, ISO, FedRAMP), drive privacy and AI compliance readiness, embed Compliance-as-Code and Zero Trust into SDLC, coordinate audits and GRC documentation, and translate regulations into actionable guidance across engineering, product, legal, and security teams.

Leads production deployment and release operations for a global SaaS platform, ensuring reliable, predictable releases and operational continuity. Designs automated deployment frameworks, CI/CD workflows, infrastructure automation, rollback procedures, and self-service delivery capabilities. Mentors engineers, drives platform modernization and operational excellence, coordinates cross-functional releases, and serves as a technical escalation point during critical deployments. The role also improves deployment quality, engineering productivity, security, and DORA metrics.

Lead architecture and hands-on implementation of agentic and generative AI systems for a secure FinTech platform. Architect scalable agent registries, policy engines, observability, CI/CD and progressive delivery. Fine-tune and prompt-engineer foundation models, mentor Staff Engineers/Tech Leads, run design clinics, align across Security/Compliance/Data, and drive production readiness and incident response.

Supports penetration testing, red teaming, manual web and API security reviews, cloud configuration checks, detection engineering, SIEM tuning, incident response, and forensic evidence collection. The role works under senior guidance while developing expertise in exploit research, threat detection, AI security testing, and security frameworks. It also requires clear communication of vulnerabilities, incidents, and risk findings to technical and non-technical stakeholders.

Leads and grows an engineering team building a distributed systems platform for AI applications using MongoDB. Provides technical direction, owns architecture, scalability, reliability, monitoring, operations, and feature delivery across cloud and on-premises environments. Partners with product and engineering teams, manages dependencies and risks, supports hiring and career development, and contributes hands-on technical leadership to high-scale platform capabilities.

Design, build, and operate internal developer platform capabilities supporting game development teams. Responsibilities include CI/CD, infrastructure, environments, observability, shared services, distributed systems, automation, reliability, monitoring, SLIs/SLOs, on-call support, and platform strategy. The role partners with cross-functional teams to improve developer experience, resolve workflow friction, and deliver scalable solutions.

Manage and coach a team of 8+ hybrid SMB and mid-market Account Executives and Account Managers. Drive new-business bookings, account expansion, renewals, retention, pipeline accuracy, forecasting, consultative selling, and performance against revenue targets. Develop sales strategies, coaching programs, objection-handling practices, and renewal playbooks while collaborating cross-functionally with Product, Engineering, Customer Success, Marketing, Onboarding, and Legal.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI. Responsibilities include Lakehouse and Spark systems, distributed processing, data quality, governance, lineage, security, observability, reliability, deployment automation, and platform tooling. Evaluate query and OLAP technologies, improve cost and performance, contribute to open-source projects, partner with data teams, and mentor engineers.