Top Tech Jobs & Startup Jobs

Design, build, deploy, and operationalize production AI and generative AI solutions in customer environments. Develop RAG pipelines, AI agents, LLM applications, APIs, and cloud-based workloads; integrate enterprise systems; implement evaluation, monitoring, security, privacy, and guardrails; and move prototypes into production. Collaborate directly with customers, product teams, data engineers, and platform teams to solve complex business problems.

Manage, design, automate, and maintain enterprise technology systems and infrastructure, including Okta IAM with Terraform, Google Workspace, Microsoft 365, Active Directory, DNS, and email security gateways. Improve system reliability, security, monitoring, and operational efficiency through automation, documentation, workflows, and process improvements. Collaborate with Information Security and cross-functional teams to resolve technical risks and support global business operations.

Build, scale, and maintain multi-cloud networking infrastructure using Nginx, Istio, HAProxy, AWS Route 53, and CloudFront. Manage traffic routing, DNS, load balancing, authentication, authorization, monitoring, and observability for highly available containerized workloads. Support application teams using Kubernetes, troubleshoot production incidents, implement infrastructure as code, and document infrastructure designs and operational procedures.

Designs and develops microservices and REST services using MEAN, Spring Boot, Kafka, RabbitMQ, Apache Camel, Hibernate, Oracle, and MongoDB. Analyzes business and technical requirements, prepares documentation, optimizes databases, manages logging and builds, monitors systems with Splunk, and performs unit, integration, and load testing. Troubleshoots defects and collaborates with development and testing teams. Travel and relocation may be required.

Manage end-to-end technology and business projects across the SDLC, including planning, budgeting, scheduling, governance, risk mitigation, compliance, delivery, and transition to support. Coordinate cross-functional teams, vendors, and client stakeholders; oversee requirements, development, testing, deployment, and project reporting. Lead status meetings, executive updates, scope negotiations, audits, and continuous improvement while mentoring project team members and supporting future client engagements.

Collect, label, clean, validate, transform, and integrate data for AI model training, including scam and deepfake detection. Use Python and analytical tools to support data modeling, machine learning, and experimentation. Extract data from databases, APIs, and web sources, communicate findings visually, and collaborate with data scientists and engineers. Japanese and French language skills are top priorities; German and Spanish are beneficial.

Leads end-to-end modernization from IBM DataStage to Microsoft Fabric, coordinating architecture, engineering, migration, testing, deployment, and business stakeholders. Owns planning, governance, milestones, risks, dependencies, reporting, customer communication, release planning, cutover readiness, operational handover, and post-production stabilization. Ensures technical blockers are resolved, delivery quality meets agreed scope and timelines, and cross-functional teams remain aligned throughout the program.

Leads US HR Business Partnering and HR Operations teams, advising senior leaders and supporting the Digital Engineering practice. Oversees talent management, workforce planning, organizational development, employee relations, benefits, immigration and mobility, compliance, and employee lifecycle processes. Drives HR governance, operational efficiency, employee experience, and people initiatives while developing HR professionals and supporting organizational growth and transformation.

Design and lead scalable Snowflake data architectures, models, ETL/ELT pipelines, integrations, and governance strategies. Optimize query performance, resource utilization, and cloud data warehouse costs. Implement Snowpipe, Streams, Tasks, and Dynamic Tables for batch and real-time processing. Ensure security and compliance across cloud environments, translate business requirements into data solutions, and establish engineering standards while providing technical leadership to data engineering teams.

Architects and delivers Profisee MDM and Microsoft Fabric solutions for QSR, retail, and consumer businesses. Leads data modernization and SQL/ETL migrations, develops enterprise data models, configures match-and-merge and data quality rules, establishes governance and stewardship workflows, designs integrations, and communicates solution plans and risks to stakeholders.