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Added 3 mins ago
Cloud Systems Engineer - Site Reliability
TherapyNotes.com
Remote, United States
We are seeking a Site Reliability Engineer to improve the reliability and operability of the production services and shared platforms supporting our growing 24×7 SaaS environment. In this…
Added 15 mins ago
BV
Data Science Engineer
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity…
Added 15 mins ago
BV
Data Quality Engineer
Bright Vision Technologies
Fremont / East Bay, CA
- $115,000 to $165,000 USD / year
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity…
Added 18 mins ago
Junior DevOps Specialist
CGI Technologies and Solutions, Inc.
Saguenay, CA
The CGI GTO Transformation team is the creative force behind CGI Unify360 management platform, one of the core components of our worldwide service offering for transformational IT…
Added 18 mins ago
DevOps Consultant – Application Release & Platform Operations
CGI Technologies and Solutions, Inc.
Halifax, CA
CGI is seeking an experienced DevOps Consultant – Application Release & Platform Operations to join our growing Cloud and Platform Engineering team. In this role, you will be responsible…
Added 18 mins ago
Software Engineer, Cisco Cloud Control / Catalyst Center
Cisco
Milpitas, CA
…collaborate closely with product management, UX/design, data science, platform, and backend engineering teams to deliver AI-native experiences that empower users to discover, understand,…
Added 19 mins ago
C
Principal Field Solution Engineer
Cognizant
South San Francisco, CA
- $200,000 to $250,000 USD / year
The Principal Field Solution Engineer (FSE) is the technical anchor of an enterprise platform deal - an intensely client-facing and market-facing role at the front line of our go-to-market…
Added 20 mins ago
Startup Solutions Architect, Early Stage Startups
Amazon
San Francisco, CA
…decision at once. There's no VP of Engineering to align with, no platform team to hand things off to, and no multi-quarter roadmap, so for the startups you work with you become the closest…
Added 20 mins ago
Startup Solutions Architect
Amazon
San Francisco, CA
…decision at once. There's no VP of Engineering to align with, no platform team to hand things off to, and no multi-quarter roadmap, so for the startups you work with you become the closest…
Added 20 mins ago
Integration Engineer– Administration Division – SF Municipal Transportation Agency (1043)
City and County of San Francisco
San Francisco, CA
Support configuration management and maintenance of development, test, staging, and production integration environments.
Added 20 mins ago
Lead Infrastructure Engineer
JPMC page
Jersey City, NJ
As a Lead Infrastructure Engineer at JPMorganChase within Corporate Sector Enterprise Technology, Employee Platforms, you apply deep knowledge of software, applications, and technical…
Added 20 mins ago
AI-Native Full Stack Software Engineer III - JAVA
JPMC page
Chicago, IL
As an AI-Native Full Stack Software Engineer III at JPMorganChase within the Enterprise Technology organization, you will design, build, and operate modern cloud-native applications and…
Added 36 mins ago
R
Senior Machine Learning Engineer - AI Cloud
Rippling
Seattle, WA · San Francisco, CA · New York, NY
- $172,800 to $288,000 USD / year
As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation,…
Added 41 mins ago
Lead AI Engineer
Perficient
DALLAS, TX
Strong hands-on experience with Python, FastAPI, Google Cloud Platform (GCP), and Google ADK.
Added 55 mins ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
Hands-on experience building and running ML or LLM workloads on Databricks or a major cloud platform (AWS, Azure, or GCP). Examples: data pipelines in PySpark or notebooks, calling hosted…
Added 57 mins ago
MC
Principal Software Engineer, Foundry Agents - CoreAI
Microsoft Corporation
Redmond, WA
- $142,800 to $331,200 USD / year
As a senior engineer within Foundry Agents, you will help build and evolve large‑scale, cloud‑native systems that span the full lifecycle of advanced agentic applications - from secure…
Added 57 mins ago
Software Development Engineer III, AAIS Mosaic Data Platform
Amazon
Seattle, WA
We are seeking an experienced SDE III to serve as the technical leader for the MOSAIC Data Platform - a suite of six production services that power scalable compliant data ingestion storage…
Added 57 mins ago
Senior Software Development Engineer AWS Connect, Cascades, Amazon Connect
Amazon
Seattle, WA
We build backend services for Amazon Connect Amazon's cloud contact center platform used by thousands of organizations worldwide. Our customers range from small businesses to some of the…
Added 1 hour ago
P
Forward Deployed Engineer
PRESHai
Tampa, FL
- $125,000 to $175,000 USD / year
The right person for this role is not a back-office software engineer and not a solutions consultant. This is an operator-engineer who can frame a problem with a senior client stakeholder…
Added 1 hour ago
Backend Software Engineer (Python or PHP) - Chicago - ONSITE 2X Week- FreeWheel
Comcast
Chicago, IL
…offer the most extensible and transparent advertising buying platform in the world, operating at a massive global scale. We don’t just operate a Demand Side Platform (DSP) – we are the…
Added 1 hour ago
Software Engineering Technical Leader - SRE
Cisco
Chicago, IL
…ensuring the reliability, scalability, and security of our cloud platforms. The broader team is composed of experienced engineers who value innovation and accountability. You will represent…
Added 1 hour ago
Platform Engineer
Paperless Parts
Boston, MA
…rotation - while building the foundation to advance toward Platform Engineer II and beyond. This role is perfect for early-career engineers who are passionate about cloud technologies and…
Added 1 hour ago
Cyber Full-Stack Software Engineer
Deloitte
Portland, OR
…next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern…
Added 1 hour ago
Senior Software Engineer - Java Cloud (Health100 Platform)
CVS Health
Remote, United States
Health100 is an AI‑native health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumer‑focused ecosystem. Powered by…
Added 1 hour ago
Senior Quantum Information Engineer
IBM
Yorktown Heights, NY
We are seeking an experienced Senior Quantum Information Engineer to join our team. In this role, you will be part of our mission to implement the latest capabilities in Quantum Computing…

Pearson

Principal Software Engineer

Hoboken, NJ, United States

The full-time salary range is between $150,000 - 170,000.

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Job details

Pay: The full-time salary range is between $150,000 - 170,000.
Posting language: English
Posted: Nov 2, 2026

Original job description

We are modernizing Pearson's content platform into a set of shared platform services. You will be one of the principal engineers leading that work hands-on. You design the target systems and move content and users onto them safely. Full stack here goes beyond front end and back end: the work spans user interfaces, workflow orchestration, AI, backend services, and cloud infrastructure. You will stay deep in design and implementation while raising the technical judgment and execution of the engineers around you. What you will own

The technical plan and delivery for several technology tracks, such as consolidations, migrations, and other large-scale initiatives, from target design through launch.
Migrations of large volumes of content and data, such as assessment items or media assets, with verification that nothing is lost or broken for downstream products.
Shared capabilities that should be built once and used everywhere, like media handling, search, rendering, or AI content services, exposed through clean APIs.
An honest, costed view of the technical debt in your systems and what to fix first.
Escalated incidents on your systems: you are the technical point of contact when one has business impact, and you stay on it through root cause and the fix that prevents a repeat.
Security and stability for the applications you own. That covers runtime and framework upgrades, vulnerability and penetration test remediation, secure data handling, and disaster recovery plans that are documented, exercised, and audit ready.
Shared standards across teams for design patterns, tooling, reliability, observability, performance, and evaluation, including how AI-powered workflows are measured, tested, and kept safe.
The long-term technical roadmap for your area, and the subject-matter expertise that comes with it.

How you will work

This is a hands-on engineering role, not an architecture role. You will not be embedded in a single team; you will work across the platform on initiatives and technical problems that matter most to leadership. You own the designs, the code on the critical path, and the engineering calls that decide whether an initiative succeeds. You should enjoy defining the problem as much as solving it.

Write production code where the risk is highest and review the hardest changes from other engineers.
Unblock hard technical problems that span systems, teams, or domains.
Work with engineering managers, product managers, architects, and quality engineering. When long-term initiatives and current delivery compete for the same people or code, make the tradeoff visible and help decide it.
Work directly with the people who use the platform across Pearson's lines of business, and separate the foundational problems from the incremental ones before the team commits.
Spot opportunities that cut across team and product boundaries, bring stakeholders to a shared direction, and carry the work from exploration through launch and iteration.
Make high-consequence technical decisions under ambiguity, balancing speed and learning against scalability, simplicity, and long-term maintainability. Hold views grounded in evidence, and change them when the evidence changes.
Evaluate frameworks, tools, and vendors, and pilot practices like contract testing, automated regression, and zero-downtime migration before teams adopt them.
Run technical feasibility reviews for new AI capabilities, and work with internal teams and external partners to assess and co-develop them.
Use AI coding tools daily, particularly for large upgrades and refactors, and help teams adopt them with sound review habits.
Act as a technical multiplier: review critical designs, mentor engineers, and improve engineering practices. Success includes the senior engineers around you becoming owners of these systems too.

Minimum qualifications

12+ years building and operating production software, including 4+ years at staff or principal level, or as technical lead across several teams or a large multi-service system.
Led a re-platforming or legacy migration of a production system with active users and data, through to switching off the old system.
Led the design and delivery of technically complex, user-facing systems.
Upgraded or migrated production systems off an end-of-life runtime or framework.
Full-stack depth in our core stack: Java and Spring Boot, Node.js and TypeScript, and React, with MongoDB and event-driven services (SQS, SNS, Kafka) behind APIs with many consumers.
Production experience on AWS, especially ECS Fargate, Lambda, S3, and API Gateway, with observability (New Relic, CloudWatch), CI/CD (GitHub Actions), and infrastructure as code (Terraform).
Writes clear design documents and migration plans, explains tradeoffs to engineering, product, and executive audiences, and influences without authority, especially when the decision carries real uncertainty. We will ask you to walk us through a document you wrote.
Bachelor's degree in Computer Science or an equivalent combination of education and experience.

Preferred qualifications

Content platform experience: authoring and content management, digital asset management, content transformation pipelines, content delivery, or assessment systems.
Content and learning standards such as EPUB, XML/XSLT, QTI, or LTI.
Built or operated an LLM-backed feature in production, using Python and services such as AWS Bedrock or Azure OpenAI, and understands the problems AI brings: nondeterminism, evaluation, latency, and safety.
Moved a product off a commercial platform, such as a DAM or CMS, onto in-house services.
Search and caching with OpenSearch or Solr and Redis.
Worked with distributed teams and delivery partners across US and India time zones.

About PSG-CP

Pearson is the world's lifelong learning company. PSG-CP (Pearson Software Group - Content Platform) builds and runs the platform behind how Pearson creates, delivers, and measures learning content, for every Pearson line of business.

Apply now and help shape the future of learning.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range is between $150,000 - 170,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through 12th of December. This window may be extended depending on business needs.

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More about this job

Skills

Workflow
Implement ICT recovery system
Industrial software
Oracle Java
Spring Boot
Node.js
TypeScript
React
MongoDB
Apache Kafka
AWS
CI/CD
GitHub
Infrastructure as code
IBM Terraform
Computer science
Grading systems
Python
Microsoft Azure
CMS
Apache Solr
Redis

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