Top Tech Jobs & Startup Jobs

Design, develop, and maintain Workday integrations using EIB, Workday Studio, Core Connectors, Cloud Connect, and Workday APIs. The role involves applying XSLT, managing Workday security and tenant configurations, troubleshooting integrations, ensuring data quality and reliability, translating stakeholder requirements into solutions, conducting design and code reviews, and mentoring junior engineers.

Designs, builds, and maintains large-scale Terraform infrastructure across cloud and hybrid environments. Develops reusable modules, manages state and workspaces, hardens CI/CD pipelines, enforces policy as code, and standardizes infrastructure delivery across teams and providers. Troubleshoots complex infrastructure issues and applies strong software engineering, cloud networking, identity, security, and Git workflow practices.

Develop and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM, and custom applications. Configure workflows, Flow Designer, scripts, integrations, UI components, Service Portal widgets, and platform extensions. Apply upgrade-safe development practices, troubleshoot issues, and optimize performance. Required expertise includes JavaScript, core ServiceNow scripting components, IntegrationHub, REST/SOAP integrations, MID Servers, data models, CMDB, and ServiceNow administration.

Defines and governs enterprise DevOps, DevSecOps, platform engineering, and observability standards. Evaluates technologies, leads proofs of value, creates reference architectures and reusable engineering assets, and drives implementation across applications and infrastructure. Establishes CI/CD, security, infrastructure-as-code, Kubernetes, telemetry, monitoring, alerting, SLO, and compliance standards while partnering with engineering, operations, security, and technology leadership to achieve enterprise adoption.

Build and operate petabyte-scale data infrastructure for AI training and evaluation. Responsibilities include multimodal data ingestion, cleaning, deduplication, lineage, versioning, quality assurance, high-throughput accelerator data loading, labeling workflows, privacy enforcement, storage optimization, observability, and collaboration with ML teams. The role requires strong data engineering and distributed systems expertise, software engineering practices, and experience supporting large-scale ML or AI workloads.

Embed security throughout the software development lifecycle by conducting code reviews, identifying vulnerabilities, implementing SAST, DAST, SCA, and CI/CD security controls, and improving application and cloud security. Partner with engineering teams to design secure systems, address authentication, authorization, and cryptographic risks, and reduce production risk. The role also involves security automation, offensive security collaboration, and communicating security guidance to technical and non-technical audiences.

Build and operate large-scale data infrastructure supporting AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, versioning, reproducibility, and high-throughput delivery across diverse modalities. The role requires operating petabyte-scale systems, applying distributed systems and software engineering practices, and collaborating cross-functionally to improve model quality and training efficiency.

Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling, lifecycle management, cloud infrastructure, security, networking, and cost optimization. Partner with engineering, analytics, ML, and business teams while leading large-scale data platform initiatives. The role requires expertise in modern data platforms, lakehouse architectures, streaming systems, governance, lineage, catalogs, and scalable data engineering.

Designs and develops production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, integrations, and declarative automation. Builds custom business logic, user interfaces, data models, and enterprise integrations while managing platform limits and maintainability. Requires strong Salesforce development experience, analytical troubleshooting skills, Salesforce DX expertise, and Platform Developer I certification. Preferred experience includes Platform Developer II, Industry Clouds, MuleSoft, Einstein AI, Agentforce, and Experience Cloud.

Designs and governs Salesforce integrations across enterprise systems, including ERP, data, marketing, and operational platforms. Responsibilities include middleware selection, API strategy, event-driven architecture, data synchronization, integration security, and high-volume integration design. The architect partners with technical and business stakeholders, leads large integration programs, conducts design and code reviews, mentors engineers, and ensures reliable production delivery.