Staff Engineer, Engineering Productive
Staff Engineer, Engineering Productive
NetSkope SoftwareThis job is no longer accepting applications
Job Description
- Develop a high-quality CD framework for a hybrid cloud environment.
- Implement service mesh architecture involving a mix of micro-service and monolithic services.
- Bring the best of the breed DevOps/GitOps ideas into reality.
- Design applications with API driven design for clean and extensible interfaces.
- Strategize best ways for implementing the continuous deployment of dynamically growing Kubernetes/Docker-based microservices architectures
- Build integrations between CD frameworks with other platforms like Observability, Test-Automation, GitHub, etc.
Required skills and experience
- 8+ years of experience with significant exposure to Productivity Engineering and related areas like Automation, CI/CD, Developer-Experience, DevOps, Cloud, etc.
- Top-notch Python or GoLang programming and code review skills
- Advanced level understanding of Kubernetes constructs, micro-services architecture, and design patterns for Enterprise SAAS class scale success.
- In-Depth knowledge of service mesh technologies (Istio, Consul, Linkerd) is a huge plus.
- Intimate knowledge of distribution systems Apt, Artifactory, Docker Registry, Helm, etc.
- In-depth knowledge of DevOps tools like Terraform, Ansible, Salt, Spinnaker, OpenStack, etc.
- Strong written, verbal, and presentation skill
More Info
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About Company
Skills:
Golang, PostgreSQL, FastAPI, Redis, Python, Temporal
Staff Engineer, ASIC Development Engineering (Verification, Scripting) with 8-12 years of experienceSandisk
Skills:
Perl, Bash, Python, Tcl, C, shell scripting, simulation and emulation environments, verification methodologies, Linux Unix environment, SystemVerilog UVM, test plan creation and execution
Skills:
react.js , Apis, Azure Data Bricks, Data Modelling, Microservices, HTML, Data Quality, Typescript, Distributed Systems, Rest Apis, Python, LLMs, RAG systems, workflow orchestration, vector databases, agent frameworks, Analytics, AI integration, data ingestion, backend services, ETL pipelines
Skills:
C, C++, Perl, Verilog, Xml, Python, Tcl, Silicon process technologies, Regression management, UVM methodology, Cadence, systemverilog, Assertions, Coverage-driven verification, Constrained-random testing, Formal debug, VHDL, Verification simulation, SoC verification environments, Synopsys, formal verification
Skills:
Test Automation, Git, Shell Scripting, Python, Validation, TCP IP Networking, WLAN 802.11, quality engineering, CI CD