Top Tech Jobs & Startup Jobs

Design, develop, and operate scalable cloud-native applications and platform services on Kubernetes. Build APIs and microservices using Java, Kotlin, or Go; implement GitOps workflows and CI/CD pipelines; troubleshoot production systems; and improve reliability, observability, performance, and scalability. The role also contributes to infrastructure automation using Terraform, Helm, Kustomize, and public cloud technologies while collaborating across platform, infrastructure, and product engineering teams.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Designs, builds, operates, and improves managed Kubernetes platform services across public cloud, hybrid, and on-premises environments. Develops Go-based automation, controllers, and tooling; manages cluster provisioning, upgrades, networking, storage, observability, security, GitOps, and incident response. Leads technical design discussions, mentors engineers, documents operational practices, and drives reliability, resilience, and performance improvements.

Lead UX Operations for AI Enablement by defining frameworks, workflows, and governance to design, test, and scale AI-enabled and agentic experiences. Run pilot programs, measure adoption, partner with L&D to deliver training, and translate learnings into playbooks and operating models that ensure human-agent collaboration, accessibility, ethics, and quality across product development.

Design and prototype agentic AI experiences, including multi-agent interactions, cross-domain surfaces, trust signals, guardrails, human-in-the-loop moments, and provenance. Partner with product and engineering teams to turn early concepts into scalable product directions. Create rapid demonstrations, journey maps, flows, and prototypes while developing new design methods for ambiguous, systems-level problems.

Leads a CSIRT shift responsible for security alert intake, triage, incident response, containment, recovery, and post-incident analysis. Develops response frameworks, coordinates major incidents, reports trends to leadership, mentors analysts, tests readiness through simulations, integrates threat intelligence, and automates response processes. The role requires technical leadership, team management, and hands-on expertise across monitoring, detection, digital forensics, cloud security, threat hunting, and security operations.

Build and operate scalable Google Cloud platform capabilities, infrastructure automation, APIs, and self-service tooling. Develop cloud services in Golang, implement Infrastructure as Code, and advance GitOps, Kubernetes, observability, security, governance, and cost optimization. Troubleshoot cloud infrastructure and networking issues, guide technical decisions, establish engineering standards, and support migration and implementation initiatives. Partner with engineering and application teams to improve developer productivity, reliability, scalability, and operational excellence.

Processes and audits US payroll, resolves pay-run issues, monitors payroll requests, ensures federal and state compliance, manages reconciliations and overpayment reduction, supports year-end activities, maintains audit controls, trains team members, and drives process improvements. The role partners with US and India payroll teams and internal stakeholders to ensure accurate, timely employee pay and service-level adherence.

Lead backend engineering across architecture, hands-on development, delivery planning, mentoring, observability, security, and technical strategy. Build scalable, resilient JVM-based systems using Java and Kotlin, microservices, messaging, cloud platforms, databases, CI/CD, containers, and monitoring tools. Guide complex technical decisions, improve reliability and performance, modernize systems, and help teams deliver production-ready products at scale.

Leads the technical strategy, architecture, and lifecycle of enterprise threat detection capabilities. Designs and improves detection rules, analytics, pipelines, integrations, automations, and analyst tooling using Python, APIs, detection-as-code, CI/CD, and cloud technologies. Partners with incident response, threat hunting, intelligence, and engineering teams to translate threats into durable detections. Establishes engineering standards, metrics, telemetry requirements, and operational practices while mentoring detection engineers and influencing cybersecurity strategy.