Top Tech Jobs & Startup Jobs

Designs and maintains scalable data pipelines, ETL/ELT processes, integrations, data models, warehouses, and lakehouse structures. Ensures data quality, governance, security, and compliance while delivering trusted datasets for reporting, analytics, automation, and AI initiatives. Optimizes data platforms, supports cloud and hybrid environments, and collaborates with technical and business stakeholders on requirements, modernization, deployment, and operational excellence.

Develop and validate packet-timing test content for Ericsson 5G/6G ASICs. Stress on-chip DMA, Ethernet, memory, and engine data paths at maximum throughput, then verify nanosecond-level synchronization, timestamping, latency, and throughput. Bring up tests on existing silicon and port them to a System Virtual Platform for chips under development. Document a reusable validation methodology while gaining hands-on experience in silicon bring-up and embedded testing.

Leads the design, implementation, and optimization of CI/CD pipelines for on-premises and public cloud environments. Develops infrastructure-as-code solutions, automates provisioning and deployment, manages containerized environments, troubleshoots build and release issues, and collaborates with development, QA, and operations teams. The role also includes mentoring junior engineers, participating in code reviews, defining architectural standards, and driving improvements in reliability, scalability, and deployment efficiency.

Analyze and troubleshoot Baseband software issues at RAN level, collaborating with teams to optimize performance and stability while managing customer expectations.

Design, develop, and maintain cloud-native, multithreaded Java microservices with a focus on IAM and Java security (OAuth/OIDC). Build/consume REST APIs and messaging systems, write tests, debug production issues, contribute to CI/CD, and deploy containerized services using Docker, Kubernetes, and Helm.

Lead the architecture and roadmap for Ericsson’s global cloud-native observability platform. Define architecture standards, promote observability by design, ensure scalability, availability, performance, and security, and guide unified telemetry adoption using OpenTelemetry. Enable AI capabilities such as anomaly detection and automated root-cause analysis, establish data ownership, support SRE practices, and partner with operations on SLAs, risk assessments, compliance, and vulnerability management.

Conducts technical evaluations and competitive analysis across enterprise WWAN, SD-WAN, SASE, routing, and security solutions. Develops benchmarking methodologies and technical collateral, delivers enablement for sales teams and partners, and provides competitive intelligence to Product Management and R&D. Supports thought leadership through content, webinars, analyst engagements, and industry events. Requires deep enterprise networking, wireless, cybersecurity, and lab evaluation expertise.

Design and implement ML solutions (predictive models, recommender systems, anomaly detection, deep learning). Optimize technical requirements, build cloud and on-prem ML pipelines, collaborate with business stakeholders, and mentor junior data scientists.

Master’s thesis investigating how AI, automation, and digitalization can improve Ericsson’s hardware transfer service. The student will map workflows, systems, data flows, and stakeholders; assess performance and user experience; identify improvement opportunities; prioritize solutions; develop and evaluate a proof of concept; and deliver recommendations, a roadmap, presentation, thesis report, and handover documentation.

Lead Managed Services engagements across MOAI (primarily Malaysia and Singapore), run Operational Benchmarking Assessments, translate findings into end-to-end MS solutions, drive proposals as part of the Core 3/pre-sales team, engage C-level stakeholders, ensure governance with account teams, understand competitor offerings, and support regional pursuits with ~30-50% travel.