Cloud Platform Engineer
Company websitefractal.ai (Fractal Analytics, opens in new tab)
Base salary $132K to $175K
Employer-published annual base salary, USD. Advertised base range in California
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCalifornia
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 min ago) · observed since
About this job
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal
Cloud Platform Engineer
Experience:
- Strong experience on AWS architecture/administration in production environments.
- Solid experience of network and security on cloud-based environments, specifically on AWS services such as VPCs, Security Groups, NACLs and IAM roles.
- Deep understanding of CI/CD using tools like Jenkins/ /AWS Code Pipeline/AWS Code Commit
- Expertise on Terraform for automated provision of infrastructure.
- Experience writing production quality code in Python and SQL.
- Experience of building and maintaining distributed platforms to handle high volume of data.
- Strong platform-level design, architecture, implementation and troubleshooting skills.
- Good understanding of Enterprise patterns and best practices applied to data engineering and data science use cases at scale.
- Experience with containers, preferably with AWS ECS and\or Kubernetes.
- Lambda build, deployment and managing within private VPC.
- Observability and Monitoring using AWS native CloudWatch, Insights and CloudTrail.
- Experience with Argo CD for deployment of container applications
- Deep understanding of DevOps and tool sets required for a mature DevSecops implementation.
Requirements
- Bachelor's degree in computer science, Engineering, or related field.
- At least 7 years of experience as a platform engineer, cloud engineer, or similar role.
- Strong knowledge of AWS services and cloud architecture.
- Proficient in Terraform, Argo, Lambda, ECS, ECR, and CloudWatch.
- Expert in Python and Git.
- Excellent communication and problem-solving skills.
- Passionate about learning new technologies and improving existing ones.
Good to have:
- Worked and managed tools, services, products like Snowflake, Airflow, DBT and SageMaker.
- Experience working with AWS Data Service\Platform.
- Worked with Jira\Confluence or other SCRUM and document management tools.
Lead Skills:
- Able to lead some team of engineers and plan out user stories.
- Client interaction and communication to advice client and communicate with non-technical and technical client base.
Task and Responsibilities:
- Design, implement, and test cloud infrastructure using DevOps best practices.
- Use Terraform and Argo to automate and orchestrate cloud resources.
- Develop and deploy serverless applications using Lambda and ECS.
- Manage and monitor cloud services using ECR and CloudWatch.
- Write clean and efficient code in Python and use Git for version control.
- Collaborate with other engineers and stakeholders to deliver high-quality products.
- Build and maintain a scalable and reliable cloud platform.
Required P0
General Support / Office Hours
- Bi-weekly open office hours for all customers to bring questions and issues
- Primary focus on bug resolution in codebase and AWS infrastructure
Enhance Airflow orchestration utility in AWS
- Upgrade Airflow to latest version
- Increase verbosity of generated logs and errors
- Integrate configurable Slack alerting via Apprise
Thoroughly document existing codebase and processes via DP Confluence pages
- dbt utility
- SageMaker utility
- Verify-deps utility
- load-Snowflake utility
- Run-SQL utility
- Extract-bigquery utility
- Tableau-refresh utility
- API-ingestion utility
Required P0
General Support / Office Hours Bi-weekly open office hours for all customers to bring questions and issues Primary focus on bug resolution in codebase and AWS infrastructure Enhance Airflow orchestration utility in AWS Upgrade Airflow to latest version Increase verbosity of generated logs and errors Integrate configurable Slack alerting via Apprise Thoroughly document existing codebase and processes via DP Confluence pages dbt utility SageMaker utility Verify-deps utility load-Snowflake utility Run-SQL utility Extract-bigquery utility Tableau-refresh utility API-ingestion utility
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $132000 - $175,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Source: Fractal Analytics on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($132,000) is above 12% of the 4,198 Software Engineering roles in California listed on this site; 16 others list the same floor. Their median floor is $176,550; the middle half runs from $149,200 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingCloud Platform Engineer$132K to $175K
Senior Data Scientist$130K to $160K
Sr Business Analyst / Senior Decision Scientist - Insurance$125K to $135K
GCP Platform Engineer$120K to $150K
Python Backend Engineer$120K to $130K
.Net$120K to $130K
Senior Data Modeler$120K to $145K
Chart as a table
| Role | Published base |
|---|---|
| Cloud Platform Engineer (this listing) | $132K - $175K |
| Senior Data Scientist | $130K - $160K |
| Sr Business Analyst / Senior Decision Scientist - Insurance | $125K - $135K |
| GCP Platform Engineer | $120K - $150K |
| Python Backend Engineer | $120K - $130K |
| .Net | $120K - $130K |
| Senior Data Modeler | $120K - $145K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2024-03-12
Where this pay comes from
Location as the employer wrote it: California
f the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $132000 - $175,000. In addition, for the current performance period, you may b
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
