Staff Software Engineer
2 weeks ago
Job Description :
What you'll do :.
- As Observability engineers you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions.
- Within our organization, you'll lead efforts aimed at scaling our existing operational data offerings and establish the technical strategy for how we can better equip engineers and leaders with operational intelligence.
- You'll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
- To be successful, you'll need to be deeply technical and capable of holding your own with other strong peers.
- You possess excellent collaboration and diplomacy skills.
- You have experience practicing infrastructure-as-code, standing up logging and metrics data pipelines, site reliability engineering, DevOps, and data lake management.
- In addition, you'll have strong systems knowledge and troubleshooting abilities.
- An ideal candidate will be a creative thinker and passionate about technology as well as drive innovation and produce delightful experiences for customers.
- This person will demonstrate data-driven open minded decision making, have an insatiable curiosity, love to invent and innovate to solve difficult challenges in a fast-paced global environment.
- If you love solving problems at scale, prefer to build scalable, reliable, and testable software to automate infrastructure management, are an ace troubleshooter, and are deeply technical, then this is the role for you
Roles & Responsibilities :
- You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
- You play a leading role on the team to design and develop major functional changes to existing software systems, or new ones.
- You create functional-level impact and deliver more complex functional changes.
- You implement activities that generally impact multiple components, processes, your own work, and other units, teams, and projects.
- You design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices.
- You lead the design and development of the most complex enhancements.
- You build multiple stable, scalable feature changes that can be successfully shipped to customers in production.
- Your software contributions in production are the model for highly available, low latency, and efficient software.
- You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions.
- You can communicate complicated concepts simply.
- You drive best practices and set standards for your team.
- You are a role model for your teams.
- Your software contributions in production are the model for highly available, low latency, and efficient software.
- You are expected to mentor other engineers on your team.
What to Bring :
- At least 12 - 18 years of overall experience in software, systems, and infrastructure.
- At least 6 years of experience managing public cloud infrastructure with AWS, including design, implementation, and maintenance of large scale environments.
- Experience with a variety of cloud services like OpenSearch, AMP, Kinesis, network, storage etc.
- Must have CS fundamentals and a track record of implementing highly reliable automation using any scripting or programming language such as Python/Go.
- Strong knowledge and implementation history of Terraform and/or other similar tooling.
- Deep understanding of distributed systems, microservice architecture, kafka, logging/metric/tracing platforms (ELK, Prometheus, Grafana, OTEL etc), and security.
- Experience with container orchestration technologies such as Kubernetes or AWS EKS is strongly desired.
- Experience in working across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks.
Exp : 12 - 18 years
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