Top Tech Jobs & Startup Jobs

Leads the design, development, and delivery of scalable full-stack applications using Python, Django, React, and GCP. Owns architecture across application, data, and integration layers; designs secure APIs; optimizes databases; deploys cloud-native systems; and drives security, performance, reliability, CI/CD, and production troubleshooting. Mentors developers, leads code reviews, establishes engineering standards, makes architectural decisions, and collaborates with product, QA, DevOps, and business stakeholders.

Lead quality assurance for complex GCP data engineering pipelines. Design and implement integration, regression, end-to-end, database, and data-quality testing across BigQuery, dbt, Dataflow, Dataproc, Cloud Run, and related services. Automate testing in CI/CD pipelines, provision test environments with infrastructure as code, validate pipeline outputs, monitor system health, and improve data quality practices. Collaborate with engineers and stakeholders, mentor junior QA staff, and champion testing standards.

Lead QA for complex Google Cloud data engineering pipelines. Design and execute integration, regression, end-to-end, database, API, and data-quality testing across ETL/ELT systems. Automate testing through CI/CD, provision reproducible environments with infrastructure-as-code, validate pipeline outputs and database functions, and monitor system health. Collaborate with data engineers and stakeholders, mentor junior QA staff, and improve data quality and testing effectiveness.

Lead quality assurance for complex GCP data engineering pipelines. Design and execute integration, regression, end-to-end, database, API, and data-quality tests across tools including Dataflow, Dataproc, BigQuery, dbt, Cloud Run, and managed databases. Automate testing within CI/CD pipelines, provision reproducible environments with infrastructure as code, monitor pipeline health, validate data accuracy and performance, collaborate with data engineers, and mentor junior QA professionals.

Administers the MicroStrategy platform, including installation, configuration, security, user access, monitoring, troubleshooting, performance tuning, and documentation. Develops Python and REST API automation workflows, supports users and clients, manages high-utilization environments, trains users, and mentors junior team members.

Design, deploy, secure, and automate Apigee X API management workflows on GCP. Responsibilities include configuring API proxies, networking, security policies, secrets, TLS and mTLS, backend integrations, and multi-environment CI/CD pipelines. The engineer will also conduct API testing, trace and debug proxy executions, troubleshoot latency, and support monitoring and alerting. The five-week contract requires hands-on Apigee X and GCP expertise, with financial integrations, Google Apps Script, and observability experience preferred.

Design, deploy, and maintain scalable cloud and edge infrastructure on GCP and GDC, focusing on manufacturing environments. Build Infrastructure as Code automation, support Manufacturing Edge Connect and Data Hub architectures, establish CI/CD pipelines, and enforce security and compliance. Implement monitoring, logging, alerting, and disaster recovery while collaborating with data scientists, industrial engineers, and software developers. The role requires expertise in GCP, GDC, Kubernetes, cloud data services, networking, Terraform, scripting, and Linux and Windows administration.

Provide administrative and operational support to the operations team: schedule meetings, maintain data in internal systems, assist onboarding, compile basic reports, facilitate cross-team communication, identify minor operational issues, and support process documentation and ad-hoc projects to improve efficiency.

Leads data science and machine learning architecture engagements, analyzing diverse datasets and deploying models using cloud and big data technologies. Designs scalable, cost-effective solutions, including generative AI applications, and provides technical leadership across client delivery and presales activities. Creates standards, accelerators, reports, and presentations; mentors junior staff; and communicates technical concepts to business stakeholders.

Designs, implements, and manages scalable Google Cloud data architectures using GCP services. Develops data models and large-scale processing solutions with Spark and Hadoop, builds optimized data pipelines, and establishes governance for quality, security, compliance, and metadata. Monitors system performance and collaborates with engineers, data scientists, and stakeholders to provide architectural guidance and identify innovative cloud and data technologies.