Mid Level Principal Devops Engineer Jobs
Mid level principal devops engineer jobs go to engineers ready to own infrastructure projects end to end, drive architecture decisions with limited oversight, and mentor junior teammates through complex deployments. Openings run across Technology & Software, Manufacturing, and Retail, with a strong mix of remote and hybrid positions, and employers like FujiFilm, OneTrust, and Amazon hiring at this level now.
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DESCRIPTION
This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
- Design and build the end-to-end platform
- Own the system architecture that surfaces structured decisions to executives
- Build metric decomposition pipelines
- Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
- Ingest and normalize data from multiple upstream operational systems
- Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
- Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
- Integrate outputs from science teams into the platform as first-class data sources
- Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
- Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
- Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
- Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
- Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
- Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of systems development engineering, software engineering, or data engineering
- 3+ years building data pipelines, ETL systems, or analytics infrastructure (Python, SQL, Spark, or equivalent)
- 3+ years working with cloud services (AWS preferred: Lambda, DynamoDB/RDS, S3, Redshift/Athena, Step Functions, ECS)
- Experience building and operating production data platforms serving analytical outputs to Experience with at least one web/dashboard framework (Streamlit, FastAPI, Flask, or equivalent)
- Experience designing data models for multi-level aggregation and time-series data
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Experience building decision support systems or intelligence platforms that serve executive/leadership users
- Experience integrating ML model outputs into production systems (model serving, feature stores, prediction APIs)
- Familiarity with automated report or document generation (templated briefs, PDF/HTML generation)
- Experience with data visualization libraries (Plotly, D3, Altair) or BI tools (QuickSight, Tableau)
- Experience building systems with time-series computation (rolling averages, trend detection, WoW comparison)
- Background in infrastructure operations, capacity planning, or supply chain environments
- Experience with LLM integration for text generation or summarization (prompt engineering, API integration)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
DESCRIPTION
This is a systems engineering role. You will build the platform infrastructure — data pipelines, aggregation engines, decision-framing logic, APIs, visualization layers, and automated briefing systems — that turns raw operational data into structured executive decisions. Where analytical models exist, you will integrate and serve them; your primary focus is building reliable, scalable, well-architected production systems that deliver the right decisions to the right leaders at the right time.
Key job responsibilities
### Build & Own the Decision Intelligence Platform
- Design and build the end-to-end platform
- Own the system architecture that surfaces structured decisions to executives
- Build metric decomposition pipelines
- Implement trend computation, projected outcomes, scenario comparison, and threshold-based alerting at multiple aggregation levels
### Data Pipeline & Platform Infrastructure
- Ingest and normalize data from multiple upstream operational systems
- Build robust ETL pipelines with defined freshness SLAs, data quality checks, and observability
- Implement caching, pre-computation, and materialized views for sub-second executive dashboard response times
### Integration & Serving
- Integrate outputs from science teams into the platform as first-class data sources
- Build the serving layer that presents analytical outputs alongside operational metrics in a unified executive experience
- Implement automated narrative generation (template-based or LLM-assisted) that produces metric commentary for executive reviews
- Design APIs that support both the web portal and automated report generation
### Web Application & Visualization
- Build interactive executive dashboards with fleet-wide views, multi-level drill-down, and scenario comparison
- Implement data visualizations optimized for non-technical senior leaders (clarity over complexity)
- Design the portal to support multiple view modes: summary cards, trend charts, tabular comparisons, commentary threads
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of systems development engineering, software engineering, or data engineering
- 3+ years building data pipelines, ETL systems, or analytics infrastructure (Python, SQL, Spark, or equivalent)
- 3+ years working with cloud services (AWS preferred: Lambda, DynamoDB/RDS, S3, Redshift/Athena, Step Functions, ECS)
- Experience building and operating production data platforms serving analytical outputs to Experience with at least one web/dashboard framework (Streamlit, FastAPI, Flask, or equivalent)
- Experience designing data models for multi-level aggregation and time-series data
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Experience building decision support systems or intelligence platforms that serve executive/leadership users
- Experience integrating ML model outputs into production systems (model serving, feature stores, prediction APIs)
- Familiarity with automated report or document generation (templated briefs, PDF/HTML generation)
- Experience with data visualization libraries (Plotly, D3, Altair) or BI tools (QuickSight, Tableau)
- Experience building systems with time-series computation (rolling averages, trend detection, WoW comparison)
- Background in infrastructure operations, capacity planning, or supply chain environments
- Experience with LLM integration for text generation or summarization (prompt engineering, API integration)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
See All 7 Mid Level Principal Devops Engineer Jobs
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Top Industries Hiring
- Technology & Software
- Manufacturing
- Retail
- Aerospace & Defense
- Agriculture & Farming
Mid Level Principal Devops Engineer Jobs: Frequently Asked Questions
How do I get a mid level principal devops engineer job?
Position yourself around ownership, not just participation. Highlight projects where you made infrastructure or pipeline decisions, not just executed them. Emphasize hands-on experience with CI/CD, IaC tools like Terraform, and container orchestration. Interviewers at this level want to see that you can diagnose problems independently, communicate trade-offs clearly, and have already led delivery on something that mattered.
Which companies hire mid level principal devops engineers?
Companies hiring mid level principal devops engineers right now include FujiFilm, OneTrust, and Amazon, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large technology firms, cloud-native startups, and enterprises modernizing legacy infrastructure, all of which need engineers who can take real ownership without constant senior oversight.
Are there remote mid level principal devops engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 17% of mid level principal devops engineer openings are remote or hybrid as of August 2026, reflecting how broadly distributed infrastructure work has become. Strong async communication skills and experience with remote incident response can make you a more competitive applicant for these roles.
How do I move up to a mid level principal devops engineer role?
The move from entry level to mid level is built on demonstrated ownership over time. Focus on taking progressively larger projects from design through production, contributing to architectural decisions, and developing a working knowledge of cost, security, and reliability trade-offs. Consistent delivery, measurable impact on system reliability or deployment frequency, and the ability to mentor peers are what distinguish mid level engineers from early-career ones.
Which industries hire the most mid level principal devops engineers?
Mid Level principal devops engineer roles concentrate in Technology & Software, Manufacturing, and Retail, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they operate complex, high-availability systems where mid level engineers who can own deployment pipelines and cloud infrastructure independently deliver direct business value.