Mid Level Staff Devops Engineer Jobs
Mid level staff devops engineer jobs go to engineers ready to own infrastructure projects end to end, drive architectural decisions with limited oversight, and guide junior teammates through complex deployments. Openings run across on-site, remote, and hybrid settings in Technology & Software, Manufacturing, and Retail, with employers like FujiFilm, OneTrust, and Amazon hiring at this level now.
Find JobsOverview
Showing 5 of 7+ Mid Level Staff Devops Engineer jobs
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 Staff Devops Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Staff Devops Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Retail
- Science & Research
- E-Commerce & Online Marketplaces
Mid Level Staff Devops Engineer Jobs: Frequently Asked Questions
How do I get a mid level staff devops engineer job?
Position yourself around ownership, not just participation. Highlight systems you designed, incidents you led the response to, and automation you shipped that others now rely on. Tailor your resume to show scope and impact rather than a list of tools. Employers at this level want engineers who drive outcomes, so lead with results and the decisions you made independently to get there.
Which companies hire mid level staff devops engineers?
Companies hiring mid level staff devops engineers right now include FujiFilm, OneTrust, and Amazon, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a broad mix of enterprises scaling cloud infrastructure, high-growth startups building out their platform teams, and established technology companies modernizing their delivery pipelines.
Are there remote mid level staff devops engineer jobs?
Yes, remote and hybrid options are well represented at this level. About 20% of mid level staff devops engineer openings are remote or hybrid as of August 2026, reflecting how broadly distributed infrastructure work has become. Roles involving CI/CD pipelines, cloud operations, and platform reliability tend to be especially flexible on location.
How do I move up to a mid level staff devops engineer role?
The path from entry level to mid level is built on accumulated ownership. Focus on moving from executing tasks to owning outcomes: take a service through its full lifecycle, lead an on-call rotation, and ship automation that solves a recurring problem for your team. Demonstrating that you can make sound technical decisions independently, and that others start coming to you for guidance, is what signals readiness for a mid level title.
Which industries hire the most mid level staff devops engineers?
Mid Level staff devops engineer roles concentrate in Technology & Software, Manufacturing, and Retail, based on current listings on Migrate Mate as of August 2026. These sectors drive demand at this level because they operate complex, high-availability systems that require engineers who can independently own reliability, deployment velocity, and infrastructure scalability without constant senior oversight.