Top Tech Jobs & Startup Jobs

Architects, develops, and maintains enterprise data platforms, scalable ETL/ELT pipelines, distributed processing systems, data lakes, streaming solutions, and cloud-native analytics platforms. Designs data models and warehouses, optimizes database performance, supports data governance and security, and troubleshoots production issues. Collaborates with data scientists, engineers, architects, DevOps teams, analysts, and business stakeholders in an Agile environment.

Owns the architecture, installation, configuration, upgrades, security, search, integrations, and ongoing operations of enterprise PeopleSoft environments. The consultant administers PeopleTools, WebLogic, Tuxedo, Elasticsearch/OpenSearch, Oracle databases, Linux/Unix systems, and high-availability/disaster-recovery environments. Responsibilities include troubleshooting, automation, cloud operations, documentation, design and code reviews, stakeholder collaboration, and mentoring junior engineers.

Designs and develops enterprise web and mobile experiences end to end, including user research, information architecture, interaction design, prototypes, responsive interfaces, design systems, and usability testing. Builds React front ends integrated with APIs and cloud applications while ensuring accessibility, performance, and browser compatibility. Collaborates with product managers, engineers, QA teams, and stakeholders in Agile environments on developer handoff, releases, and ongoing application support.

Designs, executes, and supports enterprise data migrations into SAP S/4HANA. Responsibilities include data extraction, transformation, validation, reconciliation, cutover, replication, system refresh, troubleshooting, documentation, and migration support. Partners with functional teams, business owners, and infrastructure stakeholders across major SAP implementations while ensuring data accuracy, completeness, compliance, and governance.

Designs, implements, and manages enterprise observability platforms covering metrics, logs, traces, and alerting. The role supports large-scale cloud environments using modern monitoring tools, distributed tracing, structured logging, SRE practices, SLOs, and incident management. Responsibilities include platform engineering, telemetry implementation, CI/CD and containerized systems support, observability cost optimization, and potentially contributing to open-source observability projects.

Build and operate large-scale data infrastructure for AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, and high-throughput delivery across diverse modalities. The role requires operating petabyte-scale storage and pipeline systems, supporting machine learning workloads, and applying strong software engineering practices to improve model quality and training efficiency.

Build low-latency trading, pricing, risk, market-data, backtesting, and analytics systems for fintech applications. Translate quantitative models into production software, optimize performance, implement risk and compliance workflows, ensure observability and auditability, lead incident response, document systems, and mentor junior engineers. Collaborate with quants, traders, risk officers, and cross-functional stakeholders.

Design, develop, deploy, secure, monitor, and optimize enterprise integrations using MuleSoft Anypoint Platform. Build API-led and event-driven solutions, manage CloudHub and Runtime Fabric deployments, create CI/CD pipelines, migrate legacy middleware integrations, document architecture and operations, troubleshoot production systems, and mentor junior developers while collaborating with architecture, security, engineering, and business teams.

Develop and support PTC Windchill customizations, integrations, workflows, reports, migrations, and client-side extensions. Translate PLM and manufacturing requirements into durable technical solutions, optimize code and database performance, troubleshoot production issues, document systems, and provide post-go-live support. The role also includes code and design reviews, stakeholder collaboration, and mentoring junior and mid-level engineers while following PTC best practices for upgradeability.

Develop and operate high-throughput backend platforms and shared services, including request routing, traffic management, caching, asynchronous execution, and event processing. Design distributed systems for consistency, availability, latency, and resilience. Lead multi-quarter platform initiatives, mentor engineers, document technical decisions, and improve internal developer experience. Preferred experience includes Kubernetes platforms, open-source infrastructure, service meshes, workflow orchestration, and backward-compatible platform APIs.