Enterprise Security Sales Specialist
$124k – $165k / year
1 day ago
Mid-level Engineering jobs at data and cloud infrastructure companies in the United States
Data, analytics, observability, automation and cloud infrastructure platforms. Every role is posted straight from the company’s careers page.
Research Manager – Post-Training for Agents
$244k – $305k / year
2 days ago
AI Software Engineer
CA$176k – CA$226k / year
3 days ago
GTM AI Engineer (Automation & AI)
$95k – $119k / year
6 days ago
Cloud Operations Engineer
7 days ago
Skills Systems Architect
$117k – $161k / year
1 week ago
Software Engineer I
$125k – $188k / year
1 week ago
Security Sales Executive
$136k – $215k / year
1 week ago
Deputy Facility Security Officer
$134k – $184k / year
1 week ago
Customer Success Architect
$130k – $230k / year
2 weeks ago
Workday Systems Engineer
$102k – $140k / year
2 weeks ago
Software Engineer – Mobile Team
$160k – $230k / year
2 weeks ago
Frontend Software Engineer– Cortex AI Apps
$160k – $230k / year
2 weeks ago
Software Engineer II – Query Gateway
$126k – $158k / year
2 weeks ago
Software Engineer – SnowConvert AI
$160k – $230k / year
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Software Engineer – Postgres
$160k – $230k / year
3 weeks ago
Software Engineer, Full Stack
$108k – $131k / year
3 weeks ago
Software Engineer – Container Fabric
$126k – $158k / year
3 weeks ago
Web Content Engineering & AI Visibility Lead
$119k – $159k / year
4 weeks ago
Fullstack Engineer – Marketplace
$160k – $230k / year
1 month ago
Marketing Systems Engineer
$130k – $176k / year
1 month ago
Marketing Systems Engineer
$130k – $176k / year
1 month ago
AI Automation Engineer
$115k – $135k / year
1 month ago
Software Engineer – IAM (Java)
$114k – $142k / year
1 month ago
SAP Technical Lead
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Top data and cloud infrastructure companies hiring
All 15 companies →Data & Infrastructure jobs by function
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About these roles
Mid-level Engineering jobs at data and cloud infrastructure companies in the United States
Data, analytics, observability, automation and cloud infrastructure platforms. Companies hiring here include Databricks, Cloudflare, Datadog, MongoDB, Elastic, Snowflake, Fivetran, Grafana Labs, Sigma Computing, and Workato.
SaaS engineering teams split broadly into product engineering (frontend, backend and full-stack), platform and infrastructure (SRE, DevOps, cloud), security, data and machine learning, and quality. Most titles on this page fall into one of those groups. Forward-deployed and solutions engineers work closer to customers, so they are listed under Sales or Customer Success.
Pay depends heavily on level and location. Where companies publish a range, the typical role on this page lists $136k–$190k in the US (median published minimum and maximum). About 95% of the roles here include a salary; use Salary listed first to see those at the top.
15 SaaS companies are hiring for these roles right now, led by Snowflake, Databricks, and Datadog.
Questions about Mid-level Engineering jobs at data and cloud infrastructure companies
Where do these Mid-level Engineering jobs at data and cloud infrastructure companies come from?
Every job is pulled from the company’s own hiring system (Greenhouse, Lever, Ashby, Workable or Rippling) once an hour. We do not accept paid or reposted listings, so each role links back to the company’s live careers page.
What happens when I click Apply?
You go straight to the job on the company’s careers site and apply there. We never host applications and never see or store your details.
Why don’t all jobs show a salary?
We only show pay when the company publishes it in the job post. Around 95% of the roles on this page include a range today. Sort by “Salary listed first” to see those roles at the top.
How do I know a job is still open?
We check every company’s job board hourly. When a role is removed from the careers page, we remove it here within the hour and point you to similar open roles.
Are all of these roles based in the United States?
Each role has at least one office or hiring location in the United States. Some postings list several countries or also allow remote work; the location chips on each job show the full picture.
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