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Salesforce

Software Engineer, DNS & Cloud Infrastructure

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $150K - 190K a year · our estimate

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Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Enterprise Technology & Infrastructure

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.

What You'll Actually Be Doing

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms

Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

Using and contributing to open source technology

Developing Infrastructure-as-Code

Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos

Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

Balancing live-site management, feature delivery, and retirement of technical debt

Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available

You're Our Person If You Have:

Minimum of 3 years of backend software development experience (Python) working with Cloud Architecture

In-depth, hands-on experience with Linux Systems Administration and Troubleshooting, servers, and Cloud architecture. Good knowledge of Linux internals.

Proven professional work experience with Python. In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency.

Public cloud engineering on GCP, AWS, and or Azure platforms. Cloud provisioning, infrastructure, and migration at cloud scale.

Use of AI assisted development tools to automate DNS and infrastructure management.

Solid understanding of configuring, deploying, managing, and maintaining large cloud-hosted systems.

Experience with container and orchestration systems like Kubernetes, Docker, etc.

Experience with infrastructure automation tools like Splunk, Puppet, Spinnaker, Terraform, git, etc.

Strong understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP, Switches, Routers.

CI/CD experience with tools like Jenkins, and Travis CI.

Implementation experience of large infrastructure projects.

A continuous learner, a critical thinker, and a team player with excellent communication skills.

Embrace a culture and work environment that promotes diversity and inclusion.

Configuration management with open-source tools, ideally Puppet, Chef, Salt, or Ansible.

Experience maintaining monitoring platforms like Grafana.

Experience with Agile development methodology and Test Driven Development

Even Better If You Have:

Experience using AWS Route 53.

Working in high-availability, 24x7x365 large-scale multi-datacenter environment

Highly skilled in packet analysis, network analysis tools, troubleshooting, and analytical fault diagnosis.

Security hardening of network infrastructure, such as DNSSEC

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in Bellevue, United States, San Francisco, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 33 more places

55 of their 340 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

Still hiring?

13 checks

No red flags

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1 red flag

Fits Me

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Jenkins
  • Ansible
  • Grafana
  • Splunk
Type
Full-time
Industry
SaaS
Specialty
DevOps
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Experience
3+ years
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Jenkins
  • Ansible
  • Grafana
  • Splunk

Location

Work model
Office
Region
United States
Offices
  • Bellevue, United States
  • San Francisco, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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