Top Engineering Jobs

Design, develop, and maintain Workday integrations for global HCM and Finance platforms. Collaborate with internal and external teams, apply Workday integration technologies and implementation methodology, and deliver/support successful integration deployments and ongoing support.

Hands-on technical lead responsible for advanced troubleshooting, design, engineering and strategic evolution of enterprise networks across on‑prem, cloud, and contact center environments. Owns P1/P2 incident escalation, deep-dive packet and call-trace analysis, RCAs, network hardware lifecycle, hybrid cloud connectivity, F5 load balancing, automation, observability, vendor coordination, and mentoring local network team members.

RPA QA Test Engineer validating UiPath/Blue Prism bots across IUT, UAT and RAMP. Define test strategy, prepare scenarios, set up test data, execute tests, triage defects in JIRA, maintain regression suite, report KPIs, and collaborate with developers, BAs and business SMEs for signoffs.

Lead end-to-end RPA development using UiPath and related tools. Design, implement, test, troubleshoot, and optimize automation solutions; lead development team through SDLC; collaborate with business and IT; apply REFramework, API/SQL integration and performance tuning; mentor juniors and manage projects using Agile/Waterfall.

Senior platform engineer responsible for designing, building, and operating cloud-native developer platforms. Owns end-to-end platform initiatives, implements IaC and GitOps (Terraform/Pulumi, ArgoCD), manages Kubernetes at scale, and supports AI/ML infrastructure including model serving and GPU management. Ensures platform standards, compliance familiarity (SOC 2/ISO 27001/GDPR), and communicates architecture decisions across teams.

Design, build, and support scalable cloud-native web applications and microservices using React, Node/NestJS, TypeScript, MongoDB/PostgreSQL, Docker, Kubernetes, and AWS. Create REST APIs, implement CI/CD pipelines, optimize performance and security, perform code reviews, troubleshoot production issues, collaborate with cross-functional teams, and mentor junior developers.

Develop and maintain backend services and ETL pipelines using Python. Build and integrate RESTful APIs, work with MongoDB for data storage and queries, write tests, participate in code reviews, support CI/CD and deployments (Jenkins, AWS SAM), troubleshoot issues, and document solutions while collaborating with cross-functional teams.

Lead and operate a cloud-native platform: design and deliver Kubernetes-at-scale solutions, standardize IaC/GitOps (Terraform/Pulumi, ArgoCD), manage cloud services and identity/multi-tenancy, own multi-month platform initiatives, support AI/ML infrastructure (model serving, inference pipelines, GPU/LLM patterns), ensure compliance, and produce clear design docs and ADRs while influencing engineering teams.