Top Tech Jobs & Startup Jobs

Design, develop, and operate end-to-end SAP Integration Suite (CPI) integration scenarios connecting S/4HANA and non-SAP systems. Build iFlows, adapters, Groovy/Java scripts, secure channels, API Management policies, and migration plans from PI/PO. Implement error handling, performance tuning, observability, documentation, and provide post-go-live support and knowledge transfer.

Lead design and implementation of organization-wide LLM application standards, prompt templates, agent architectures, and RAG pipelines. Build evaluation frameworks, developer tooling, safety guardrails, and mentor teams while optimizing latency, cost, and robustness for production LLM systems.

Build production-grade Salesforce solutions: Apex, LWC, Flow, integrations (REST/SOAP/Platform Events), data modeling, security, CI/CD, performance optimization, troubleshooting, and collaboration with admins and product owners.

Design, build, and maintain automated test frameworks for web, mobile, and API systems. Write and run automated test suites, integrate tests into CI/CD, perform cross-browser/platform and database validation, support performance testing, investigate production issues, and collaborate with engineering teams to shift quality left and continuously improve QA processes.

Design, develop, and support PeopleSoft customizations, integrations, and reports (HCM/FSCM/Campus). Build Application Engine, Component Interfaces, Integration Broker, SQR, BI Publisher, and nVision. Perform SQL tuning, testing, upgrades, documentation, and post-go-live support. Mentor junior developers and ensure clean, maintainable PeopleSoft solutions.

Design, build, and operate large-scale AI training and inference platforms. Responsibilities include GPU/accelerator cluster management, scheduling, distributed training integration, high-performance storage and networking, observability, checkpointing and fault tolerance, cost optimization, developer tooling, security/isolation, automation, and operational documentation while partnering with ML teams.

Build and operate petabyte-scale data systems for AI training and evaluation: ingestion, cleaning, deduplication, versioning, lineage, high-throughput loading for accelerators, labeling/active learning pipelines, storage architecture, privacy controls, observability, and cross-team collaboration to optimize model training efficiency and data quality.

Design, build, deploy, and operate MuleSoft integration solutions using Anypoint Platform. Own API design, DataWeave transformations, runtime configuration, CI/CD, security (OAuth2, mTLS, JWT), event-driven integrations, monitoring, and migration of legacy middleware. Mentor junior engineers, produce documentation, and collaborate with architecture, security, and product teams to deliver reusable, secure integration assets.

Design, develop, deploy, and operate MuleSoft integration solutions on Anypoint Platform. Own API design, DataWeave transformations, runtime configuration, CI/CD, security, event-driven integrations, monitoring, migrations, documentation, and mentoring. Collaborate with architects and cross-functional teams to build reusable, secure, and performant integration assets.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming systems. Develop ETL/ELT workflows with Spark, Hive, Pig, and Sqoop; optimize jobs for performance and cost; implement data models on HDFS/Hive/HBase and modern lakehouse formats; automate orchestration with Airflow/Oozie; ensure data governance, monitoring, and operational runbooks; collaborate with data scientists and mentor junior engineers.