Principal Software Engineer (SRE/DevOps) - Remote

Posted 22 Days Ago
San Francisco, CA
Senior level
Information Technology • Machine Learning • Software • Analytics
The Role
Invisible Technologies is seeking a Principal Software Engineer specializing in SRE/DevOps. This role involves leading technical initiatives, mentoring team members, and developing cloud-based architecture while ensuring security and networking considerations are met. Candidates should have strong experience with Kubernetes, cloud providers like AWS and GCP, and infrastructure as code tools such as Terraform and Ansible.
Summary Generated by Built In

Company Description

Invisible Technologies offers unusual services (a combination of outsourcing and automation) to fast-scaling, innovative companies. Each company understands and uses our services in a variety of ways. It’s critical we can communicate to segments of users with visually appealing, and highly communicative assets. You’re helping us explain the benefits of our product in a way that words alone never could. 

Job Description

Principal engineers at Invisible are able to follow multiple paths. Some of our Principal engineers are technical leads of teams and are responsible for people management of those teams. They oversee the technical vision for their area and ensure that there is proper mentorship

Other principal engineers lead through technical initiatives. These engineers oversee broad multi-team technical initiatives and own parts of our software stack (ex. Principal engineers might research and roll out new technical frameworks or might develop a new generation of our UI component library.

Qualifications

-We know that if we have a DevOps team we aren’t practicing DevOps 🙂 both are listed to make it clear that we’re looking for a multi position player who’s comfortable with application engineering AND infrastructure.

- A good candidate will have a strong understanding of cloud architecture including the major cloud providers (AWS, GCP, etc).

- Candidates should understand underlying networking and security considerations when developing the architecture of our deployment environments.

- Candidates should have a strong understanding of authentication and authorization frameworks such as IAM, Security Groups, RBAC, etc.

- Candidates should have experience with Kubernetes and be able to point to deployments they have architected or managed.

- Candidates should have a strong understanding of the operating model of Kubernetes and be able to explain the requirements for designing deployments for new applications.

- Ideal candidates would have experience with infrastructure as code tools such as Terraform, CloudFormation, Ansible or Puppet.

We’re always eager to learn and grow and try new technologies.

Additional Information

Apply at: https://jobs.lever.co/invisible/645bc420-743f-40c3-bc0a-1c665d1f8d95


Top Skills

AWS
GCP
Kubernetes
Terraform
The Company
467 Employees
Remote Workplace
Year Founded: 2015

What We Do

Odds are you spend a large amount of your day doing one of the following:

- Managing repetitive tasks
- Recruiting / hiring for junior roles
- Coordinating freelancers
- Testing out tech products
- Managing outcomes on recurring processes
- Arm wrestling with procurement

Sounds to this copywriter like you need worksharing. What's that? It's outsourcing and automation, remixed into a service model that helps clients run business processes. You can:

- 'Clone yourself' (basically, run the recurring workflows that take time from your day)
- Empower team members (give your team capital efficient execution resources without increasing your risk or headcount)
- Scale business processes - if you're cranky with your outsourcing vendor or not sure where to start with automation, call us.

Here's why we're better:

- Run templated or custom processes
- Change processes any time
- Scale up those processes on demand
- Super easy to start - there's no tech to install; it's all in the cloud
- Low risk (thanks monthly subscription model!)
- Secure - all work is done on locked-down spaces and documented

What can you do? The long answer is: any process you can explain. People use us most to: transform data, generate leads, tag data, gather research, run existing workflows, test new workflows, and manage outreach.

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