Top Tech Jobs & Startup Jobs

Lead architecture for enterprise AI initiatives across products, platforms, and shared capabilities. Define AI architecture standards, reference patterns, governance, security, and operational guardrails. Guide solutions involving LLM applications, retrieval systems, agentic workflows, orchestration, evaluation, observability, and cloud-native platforms. Partner with business, product, and engineering leaders, influence strategic decisions, mentor technical teams, and support AI-enabled software development and platform modernization.

Lead the design, development, and delivery of scalable web applications using Node.js, TypeScript, React, AWS, Docker, and Kafka. Drive architecture, engineering standards, testing, CI/CD, cloud deployment, and quality practices. Mentor junior and mid-level engineers, collaborate with DevOps and cross-functional teams, and participate in technical hiring and interviews.

Designs and automates scalable cloud infrastructure for a SaaS platform using IaC and GitOps. The role manages observability, monitoring, alerting, incident response, post-mortems, capacity planning, performance optimization, and production reliability. It also involves Linux systems administration, large-scale data platform architecture, automation, on-call support, and collaboration with development and research teams.

Design, develop, document, test, and validate integrations between SAP and Kinaxis Maestro. Translate business requirements into technical mappings, configure SAP BTP integrations, support synchronous and asynchronous integration patterns, and ensure data quality and consistency. Collaborate with solution architects, product teams, business stakeholders, and developers across planning and supply-chain domains, including integrations with external manufacturers and non-SAP planning systems.

Build and maintain scalable automated testing frameworks and infrastructure for complex distributed systems. Develop Python-based automation, test software across Linux and Windows, use Kubernetes, Docker, MongoDB, ClickHouse, and public cloud platforms, and collaborate with developers and architects to improve quality, integration, and engineering practices.

Provide senior-level network operations and infrastructure support, troubleshooting complex customer issues through log analysis, monitoring, issue reproduction, and resolution. Manage backups, incidents, service desk cases, documentation, escalations, and customer communications. Configure Linux systems, networking, public cloud infrastructure, and monitoring tools while helping build reliable SRE and support processes. Voluntary 24/7 on-call participation may be required.

Provides senior-level network operations and technical support, resolving complex customer issues through troubleshooting, log analysis, monitoring, and issue reproduction. Manages backups, incidents, service desk cases, escalations, documentation, and customer communications. Requires Linux, networking, public cloud, monitoring, and vendor-platform expertise, with participation in infrastructure optimization and support/SRE process improvement. The role includes remote or office flexibility and optional 24/7 on-call availability.

Designs and operates core infrastructure including compute, networking, Kubernetes, CI/CD, and observability. Improves developer experience, leads production incident triage, advances scalable infrastructure architecture, and partners with engineering teams on infrastructure decisions. The role requires infrastructure-as-code expertise, Python engineering skills, strong communication, production troubleshooting ability, and effective use of AI tools.

Designs, develops, documents, tests, and validates integrations between SAP source systems, external manufacturers, and Kinaxis Maestro. Translates business requirements into technical mappings, configures SAP BTP integrations, validates data quality and business logic, and coordinates integration architecture across product, business, SAP, and development teams. The role requires expertise in ABAP, SAP ECC and S/4HANA data models, SAP BTP, synchronous and asynchronous integration patterns, and SAP planning or supply-chain systems.

Design, operate, and scale core infrastructure across compute, networking, CI/CD, Kubernetes, and observability. Improve developer experience through paved paths and automation, lead production incident triage, analyze logs and data, and drive root-cause resolution. Partner with engineering teams on scalable infrastructure architecture, apply AI tools effectively, and communicate technical trade-offs to technical and non-technical stakeholders.