Top Tech Jobs & Startup Jobs

Designs, builds, and operates large-scale distributed backend systems and high-throughput services. Responsibilities include architecture, data partitioning, APIs, event-driven systems, observability, performance optimization, resilience, incident response, technical roadmaps, documentation, and mentoring. Partners with SRE and platform teams to improve reliability and reduce operational toil.

Leads end-to-end quality engineering and software testing strategy, including test planning, automation framework development, CI/CD integration, execution management, defect resolution, and quality metrics. Coordinates SIT and UAT across distributed teams, assesses release risks, performs hands-on smoke and regression testing, and communicates go/no-go decisions. The role also drives shift-left testing, AI-assisted testing practices, stakeholder alignment, and proactive mitigation of production risks.

Own the design, deployment, operation, security, automation, and observability of large-scale Apache Kafka and Confluent environments. Responsibilities include cluster sizing, HA/DR strategy, platform troubleshooting, developer enablement, infrastructure-as-code, and collaboration with application teams. The role also involves code and design reviews, documentation, mentorship, and delivering reliable event-driven streaming solutions in production.

Design and build high-performance Go backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and operators. Develop gRPC and REST APIs, integrate messaging systems and data stores, optimize application performance, implement observability, and create automated tests. Lead code and design reviews, mentor engineers, contribute to shared Go libraries and platform tooling, and maintain technical documentation. Work with distributed systems, networking, containers, and production operations.

Design, develop, and operate integrations between PTC Windchill and ERP, MES, CAD, quality, and enterprise systems. Build REST, SOAP, event-driven, and middleware-based solutions; optimize performance; implement monitoring and error handling; migrate legacy integrations; and provide production support. Collaborate with cross-functional teams, document integration architectures, mentor engineers, and evaluate emerging integration technologies.

Operate and improve enterprise PLM platforms such as Windchill or Teamcenter across development, test, and production. Responsibilities include installation, configuration, upgrades, migrations, integrations, database connectivity, performance tuning, high availability and disaster recovery, security, monitoring, automation, documentation, incident support, and mentoring engineers. The role partners with engineering, manufacturing, functional, and operations teams to deliver a reliable and secure PLM ecosystem.

Develop and optimize large-scale Apache Spark applications and batch or real-time ETL/ELT pipelines. Process enterprise data across cloud platforms, data lakes, warehouses, Kafka, and streaming systems. Build reusable frameworks, implement data quality controls, tune distributed workloads, troubleshoot production issues, and support cloud migrations. Collaborate with architects, engineers, and analytics teams on lakehouse, reporting, machine learning, and enterprise data platform initiatives.

Designs and governs enterprise Salesforce implementations across multiple clouds and organizations. Leads technical strategy, architecture standards, security, integrations, customization, and scalability. Partners with business stakeholders and engineering teams to deliver maintainable solutions. Requires deep expertise in Apex, Lightning Web Components, Flow, Salesforce data and sharing models, Salesforce DX, enterprise security, and complex integrations. The architect will lead large Salesforce programs and provide technical leadership across enterprise environments.

Develop and optimize enterprise ETL/ELT pipelines for data integration, warehousing, analytics, regulatory reporting, and cloud modernization. Responsibilities include ingestion, transformation, validation, CDC, SCD, incremental loading, performance tuning, workflow monitoring, troubleshooting, cloud migration, governance, and production support. Collaborate with architects, engineers, analysts, and BI developers across large-scale enterprise initiatives.

Designs and supports enterprise data platforms, scalable ETL/ELT pipelines, distributed processing systems, data lakes, and cloud-native data solutions. The role covers data architecture, modeling, warehousing, batch and streaming processing, database optimization, deployment, troubleshooting, governance, and operational support. The engineer collaborates with data scientists, analysts, software engineers, architects, DevOps teams, and business stakeholders in an Agile environment.