Software Engineer at Ericsson

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Golang, Shell Scripting, Virtualization, Containers, Kubernetes, CI/CD, Cloud Platforms, REST APIs, Kafka, SQL, Prometheus, Redis, PostgresDB, MongoDB, Networking Protocols, Linux

Industry

Telecommunications

Description

Assist in building and maintaining modules of the AIOps platform under the guidance of senior engineers. Contribute to collecting, cleaning, and transforming monitoring data (logs, events, metrics) for analysis. Support incident analysis by providing data insights and participating in root cause investigations. Work closely with mid-level and senior engineers, actively participating in code reviews, design sessions, and knowledge-sharing. Develop technical skills in observability tools, cloud environments, and ML/AI concepts relevant to AIOps. Ensure accuracy, reliability, and maintainability of code and configurations with mentorship from senior staff. Bachelor's or master's degree in computer science, IT, Data Science, or related field 4+ years of programming experience with Python, Golang or related programming languages Proficiency in shell (e.g. bash) scripting Good understanding of virtualization (VMs, hypervisor, Software Defined Network) Experience with Containers, Kubernetes, and CI/CD pipelines using Gitlab and Jenkins. Hands-on experience with Cloud platforms (e.g., AWS, GCP, or Azure). Good understanding of REST APIs and common platform tools including Kafka, SQL, Prometheus, Redis, PostgresDB/MongoDB. Good understanding of networking protocols, standards, and technologies including TCP/IP, DHCP, DNS, IPSec, network Namespaces, routing and switching. Experience working with Linux-based systems, including system administration, troubleshooting, shell scripting, and understanding of key OS concepts such as process management, networking, and file systems. Adaptability to dynamic and fast paced environments, proactive learner. Background in log analysis, time-series forecasting, or unsupervised anomaly detection Good understanding of observability stacks (e.g., Prometheus, Grafana, ELK, OpenTelemetry) Good understanding of Kubernetes, container orchestration, and service mesh architectures AI/ML data engineering experience The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe this approach drives innovation, which is essential for our future growth. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) || Santa Clara Job details: Developer

Responsibilities

Assist in building and maintaining modules of the AIOps platform and support incident analysis by providing data insights. Work closely with mid-level and senior engineers, participating in code reviews and design sessions.