Senior Production Systems Engineer
BP Americas, Inc. · Denver, CO
$165,000–$194,000from the description
Jul 10, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and maintaining data-driven software tools for onshore oil and gas production operations. Day-to-day work involves designing Python and SQL applications on cloud infrastructure, creating dashboards and reporting tools, integrating AI agents, and acting as a product owner alongside technology and production teams. Best suited to someone with a petroleum or engineering background who also has strong software development and data engineering skills.
Senior level · 7+ years · Houston-The Woodlands-Sugar Land, TX · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 80 people in the Houston-The Woodlands-Sugar Land, TX area plausibly meet what this posting asks for (software developers). range 50–120
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,286 (middle half $103,415–$162,956). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role title is 'Senior Production Systems Engineer' but the day-to-day work is primarily software development and data engineering (Python, SQL, Snowflake, AWS, CI/CD, dashboards, AI agents) applied to oil & gas operations — hence classified as Software Developers rather than a petroleum/production engineering SOC. Data Scientists (15-2051) is a plausible runner-up given the emphasis on AI agents, analytics, and predictive modeling.
The 7+ years experience requirement is explicitly tied to the oil and gas industry ('7+ years experience in the oil and gas industry, particularly related to Petroleum Engineering, preferred'), making it a preferred domain qualifier rather than a hard gate on total engineering experience. However, the overall scope and compensation strongly imply a senior-level role, so 7 is used as the best available proxy for the overall years minimum.
AWS is listed in the Key Accountabilities section as the primary cloud environment; Azure appears alongside it in the Essential Experience section as 'cloud platforms like AWS and Azure' — both are treated as required cloud competency, with Azure captured as an alternative to AWS rather than a separate skill, since the JD frames them interchangeably.
Docker and Kubernetes are listed under 'Essential Experience' as 'containerization technologies such as Docker and Kubernetes' — the 'such as' qualifier means the specific tools are interchangeable, but the containerization requirement itself is a hard gate. Both are named explicitly and emitted as separate required skills.
Dagster is explicitly marked 'preferred' in the JD ('workflow orchestration tools like Dagster+ preferred'). Palantir is explicitly marked 'a plus'. Both are listed as preferred accordingly.
The role is hybrid (not fully remote), based at BPX Energy's US onshore operations. The JD does not specify a city, but BPX Energy's primary US office is in Houston, TX — used as the best available CBSA.
The degree requirement is a Bachelor's in Engineering, Computer Science, or a related field, stated without an 'or equivalent experience' escape clause — treated as a hard requirement.
Read the full posting
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