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Sr Software Engineer - Cloud Automation & AI Systems
Oracle
Phoenix, AZ
- $89,200 to $209,500 USD / year
As a Software Engineer 3, you will play a key role in designing and building the platform capabilities that power this transformation. You will work across automation, orchestration, user…
Added just now
Senior Cybersecurity Architect (Cloud)
Amentum
Phoenix, AZ
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added just now
Cybersecurity Engineer (Cloud)
Amentum
Phoenix, AZ
Work with Identity, Network Security, Data Security, Detection and Incident Response, IT, connected program sites, and application teams to implement controls within their areas of…
Added 2 mins ago
Principal Navigation Engineer
Mach Industries
Huntington Beach, CA
Mach Industries is seeking a Principal Navigation Engineer to lead the development, integration, and flight validation of navigation systems for autonomous aircraft and related defense…
Added 18 mins ago
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Principal Network Engineer
Oracle
Seattle, WA
- $114,600 to $234,600 USD / year
Engineer segmentation (VRFs/security zones), ACLs/policies, encryption (IPsec/TLS), and DDoS/WAF integrations aligned to zero-trust.
Added 23 mins ago
AWS Cloud Security Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Cloud Security Engineer based in the United States.
Added 1 hour ago
Experienced QA Engineer with Hands-on Automation and AI Skills
Deloitte US
Atlanta, GA · Austin, TX · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Indianapolis, IN · Jacksonville, FL · Kansas City, MO · Las Vegas, NV · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Richmond, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
Added 2 hours ago
Sr. Security Engineer - Cloud Threat Detection
The Hartford
Columbus, OH
The Hartford's Information Protection (THIP) organization is seeking a Sr. Security Engineer, Cloud Threat Detection Engineer to design and enhance enterprise-scale cloud threat detection…
Added 2 hours ago
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IT Engineer
Artemis
New York City, NY
- $160,000 to $180,000 USD / year
…Hirshberg (CEO) led Amazon GuardDuty, the world’s largest cloud detection product, was an early employee at Demisto, the company that invented the SOAR category, was an engineering leader…
Added 3 hours ago
Senior Sales Engineer
Zenity
Remote, United States
…enterprise scale.We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and…
Added 3 hours ago
Senior Sales Engineer
Zenity
Remote, United States
…enterprise scale.We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and…
Added 3 hours ago
Senior Sales Engineer
Zenity
Remote, United States
…enterprise scale.We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and…
Added 3 hours ago
Senior Director, Forward Deployed Engineer - Operational AI
Aerospike, Inc.
Remote, United States
…Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use…
Added 3 hours ago
Engineer 2
M.C. Dean, Inc
Austin, TX
We are seeking an Engineer 2 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers,…
Added 3 hours ago
Telecommunications Engineer 4 - San Antonio, TX
M.C. Dean, Inc
San Antonio, TX
We are seeking a Telecommunications Engineer 4 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that…
Added 3 hours ago
Principal Engineer Electrical
Northrop Grumman
Chandler
Northrop Grumman’s Space Sector is seeking a Principal Engineer Electrical - Level 3 to join our NH&S team in Chandler, AZ.
Added 3 hours ago
Senior Cybersecurity Architect (Cloud)
Amentum
Carson City, NV
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 3 hours ago
Cybersecurity Engineer (Cloud)
Amentum
Carson City, NV
Work with Identity, Network Security, Data Security, Detection and Incident Response, IT, connected program sites, and application teams to implement controls within their areas of…
Added 3 hours ago
MT
Dry System Mechanical Engineer
Micron Technology
Clay
- $82,000 to $139,000 USD / year
As a Dry System Mechanical Engineer, you will play a key role in delivering critical facility systems that support semiconductor manufacturing operations. You will provide technical…
Added 3 hours ago
MT
PCS Engineer
Micron Technology
Manassas
- $74,000 to $145,000 USD / year
As a FDC (Fault Detection Control) Engineer at Micron Technology, Inc. in Manassas, VA you will support the manufacturing areas with development and implementation of FDC solutions to…
Added 3 hours ago
Senior Engineer, Process Mechanical Engineer
Micron Technology
Boise
JR116843 Senior Engineer, Process Mechanical Engineer (Evergreen)
Added 3 hours ago
Engineer, RDA DRAM
Micron Technology
Boise
As a Realtime Defect Analysis (RDA) Technology Development Engineer at Micron, you will learn how to use pioneering defect detection equipment and processes to fix and solve issues. The…
Added 3 hours ago
Intern - YE-Electrical Failure Analysis Engineer
Micron Technology
Boise
Micron is seeking a highly motivated Yield Enhancement Engineer Intern to join our semiconductor manufacturing organization. In this role, you will work alongside experienced engineers to…
Added 3 hours ago
AI Engineer
Micron Technology
Boise
We are seeking an early-career Full-Stack AI Engineer to help design, develop, and deploy AI-powered applications that support Micron’s Autonomous Operations initiatives. This role offers…
Added 4 hours ago
Senior Systems Engineer
WRA, Inc.
Remote, United States
We’re hiring a Senior Systems Engineer as WRA builds its new internal IT & Cybersecurity functions. We are actively transitioning from an MSP model to a fully in-house model, and this role…

GlaxoSmithKline LLC

Senior, data engineer

Philadelphia, PA, United States

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Job details

Posting language: English
Posted: Oct 27, 2026

Original job description

Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and deploy them, monitor them in production and remediate failures. Our engineers direct that work and own the quality of what ships. Humans and digital workers both rely on a governed context layer. It makes data, meaning, permissions and history retrievable at the moment they are needed, and sits above our data platforms and beneath every experience and agent built on them. The Senior Data Engineer leads the design of production data systems for a team and its domains. The role defines the architectural, quality and governance standards the team and its digital workers apply, leads the team's AI-grade data infrastructure, and mentors junior and mid-level engineers. 1. Leads the design of production data systems for a team and its domains, including pipelines that serve multiple downstream consumers and the AI-grade infrastructure beneath them. 2. Defines how the team works with digital workers through the architectural standards, quality checks and review patterns their work must meet within EAI's operating model. 3. Raises the engineering bar for the team by setting the code, documentation and governance standards others use as the baseline, and by mentoring junior and mid-level engineers. Key Responsibilities: Agent-Operated Data Engineering 1. Lead the design of production pipelines that serve multiple downstream consumers, and define the architectural standard the team and its digital workers apply. 2. Define the team's patterns for agent-generated work within EAI's operating model: what digital workers build and remediate on their own in the team's domains, which checks their work must pass, and when it needs human review. 3. Design how digital workers integrate into the team's orchestration, observability and incident workflows, with clear tool design, evaluations, guardrails and human-in-the-loop controls. 4. Lead the response to significant data quality incidents, from detection to permanent resolution, and drive improvements to team-wide pipeline quality. Context & Semantics 1. Set the context standards for the team's domains: how definitions, contracts, classification and lineage are captured in the governed context layer, so humans and digital workers can rely on them. 2. Lead the team's contributions to the context layer, and feed the team's operational experience into how the layer evolves across EAI. Data Quality & Governance 1. Define data quality and governance standards for the team's domains, encode them in the context layer so humans and digital workers apply them by default, and drive adoption of quality frameworks others use. 2. Lead data quality initiatives with measurable outcomes, such as reduced error rates, improved downstream AI performance or improved audit readiness. AI Data Infrastructure & Lifecycle 1. Lead the design of AI-grade data infrastructure, including evaluation datasets, retrieval architectures and real-time data flows, and define the team's standards for it. 2. Lead data lifecycle management for AI systems: versioning, drift monitoring and governance of AI artefacts. Work with ML engineers on evaluation dataset design, and shape quality practices that improve model reliability in production. Platform & Infrastructure 1. Lead cloud data infrastructure design for the team's domains, driving adoption of infrastructure as code and measurable improvements in deployment reliability. 2. Build platform components used by multiple engineers and digital workers, reducing setup time for new data projects. 3. Raise the team's operational bar across testing, CI/CD for data, observability, cost management and on-call practice. Standards & Mentorship 1. Set the documentation an code quality standard for the team, written to be followed by humans and digital workers alike, and drive adoption of practices others use as the baseline. 2. Mentor junior and mid-level engineers through pairing, review and direct feedback, with visible improvement in their capability and confidence. 3. Partner with forward deployed engineers (FDEs), ML engineers and AI product teams on the data requirements of production systems, challenging weak requirements and communicating trade-offs clearly. Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals: 1. Bachelor's degree in Computer Science, Data Engineering or a related field, or equivalent practical experience 2. 8+ years of data engineering experience, including significant time leading the design and operation of complex production data systems. 3. Expertise with modern warehouses or lakehouses, orchestration and transformation frameworks, and batch and streaming architectures, such as Databricks, BigQuery, Airflow, dbt or Spark. 4. Experience leading the design of AI-grade data infrastructure for production AI systems, including evaluation datasets, retrieval architectures and real-time data flows. 5. Experience leading data lifecycle management for AI systems, including versioning, drift monitoring and governance of AI artefacts. 6. A track record of defining data quality and governance standards for a team or domain that others adopted, with measurable outcomes. 7. Experience leading cloud data infrastructure design with infrastructure as code. 8. Experience designing and operating AI agents or substantial LLM-powered tools inside data engineering workflows, including tool design, evaluation, observability and human-in-the-loop controls, and AI-assisted development patterns that a team adopted. Preferred QualificationIf you have the following characteristics, it would be a plus: Technical lead for one or more data platforms or significant domains, from first build through to scale. Built or improved internal developer platforms or tooling for data engineering, such as self-serve pipelines, agent runtimes, or lineage and quality services. Experience with catalogue, metadata, semantic or lineage infrastructure that AI systems consume. Experience in regulated or high-stakes data environments, such as life sciences, finance or healthcare. Leads the design of AI-grade data infrastruc

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Skills

EAI
Data engineering
Statistical quality control
Infrastructure as code
CI/CD
Computer science
Databricks
BigQuery
Apache Airflow
dbt
Apache Spark

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