Jobs in the United States

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Added 49 mins ago
Senior Linux System Administrator - 306502
Delaware Nation Industries
Dahlgren, VA
The Senior Linux System Administrator will serve as a technical authority for Linux platforms, virtualization, automation, system security, performance, and lifecycle management. The…
Added 52 mins ago
J
Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior QA/SDET based in the United States.
Added 4 hours ago
Senior Developer - Full Stack
Cydcor
Remote, United States
…engineering stack spanning Salesforce, MuleSoft, Informatica Cloud, Python, PostgreSQL, and AWS. We are looking for a seasoned engineer who is excellent at engineering fundamentals first…
Added 5 hours ago
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Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
Mentor senior and junior engineers, lead design reviews, and raise the judgment of the whole team rather than just its throughput
Added 5 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 5 hours ago
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Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform - including our web applications, back-end data pipelines,…
Added 6 hours ago
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Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices,…
Added 6 hours ago
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Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 6 hours ago
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Senior AI Software Engineer
Credence
Rome, NY
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 6 hours ago
C
Senior AI Software Engineer
Credence
Warner Robins, GA
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 6 hours ago
C
Senior AI Software Engineer
Credence
Wright-Patterson Air Force Base, OH
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 6 hours ago
C
Senior AI Software Engineer
Credence
Boston, MA
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 6 hours ago
Senior Lead Securities Quantitative Analytics Specialist, Mortgage & RMBS Modeling
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC
Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist to lead quantitative modeling focused on residential mortgage and non-agency RMBS.
Added 7 hours ago
Principal Software Engineer (Prisma Access)
Palo Alto Networks, Inc.
CA
As a Principal Software Engineer for Prisma Access, you will lead the architecture, systems design, and performance optimization of cloud infrastructure underpinning Palo Alto Networks'…
Added 7 hours ago
Senior Database, Programming, and Visualization Analyst - JETARS
The Garrett Group
Offutt AFB, NE
The Garrett Group is seeking highly experienced Senior Database, Programming, and Visualization Analysts to join our advanced technology team. These roles support mission‑driven data,…
Added 7 hours ago
Data Analyst - JETARS
The Garrett Group
Offutt AFB, NE
…machine learning models, and create analytical products using Python, R, SQL, and Business Intelligence tools. The role supports mission decision-making through data visualization,…
Added 7 hours ago
Senior Data Center Network/ Mellanox Engineer
Simple Solutions
Jacksonville, FL
Simple Solutions searching for Senior Ethernet Network Engineers to support large-scale AI and
Added 10 hours ago
Cost Analyst, Senior
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
Experience with Microsoft Power BI, Tableau, Crystal Ball, Python, R, or AI tools
Added 10 hours ago
Data Architect, Lead
BOOZ, ALLEN & HAMILTON, INC.
Charlottesville, VA
…manage their data assets. We're looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for the…
Added 11 hours ago
Senior / Staff Scientist, Assay Automation
Clear Labs
San Carlos, CA
This role is leveled Senior or Staff based on demonstrated scope, autonomy, and track record of shipping NGS assays into regulated environments. We will calibrate level during the interview…
Added 13 hours ago
A
Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Bothell, WA
- $155,400 to $261,100 USD / year
As a Principal System Engineer, you will serve as a senior technical leader across FinOps, cloud optimization, system reliability, and AI-driven automation. You will shape and execute…
Added 14 hours ago
OS
Senior Software Engineer
Odyssey Systems Cons
Colorado Springs, CO
- $31,533 USD / year
We are seeking a Senior Software Engineer to be a primary technical contributor on the Multimode Threat Engagement Simulation Platform. You will own significant portions of the stack…
Added 14 hours ago
Associate Director - AML Analytics (Consulting)
Capitex
NY · New York, NY
We are seeking an experienced Associate Director to lead client-facing engagements within our Financial Crime Compliance (FCC) Analytics practice. This role sits at the intersection of AML…
Added 14 hours ago
Systems Engineer/Integrated Product Team Lead(IPT)
SAIC
Denver, CO
SAIC is seeking an Integrated Systems Engineer/Integrated Product Team Lead (IPT) to join the National Security and Space Sector (NSS). You would work on a joint Intelligence Community (IC)…
Added 15 hours ago
Staff Data Engineer
DAT
Denver, CO
Platform Evolution: Lead the design and evolution of our modern data platform architecture, ensuring it remains scalable, available, and performant.

THE CARLYLE GROUP EMPLOYEE CO., LLC

Manager, CPE Data Engineering Lead

Washington, DC, United States

The anticipated base salary range for this role is $140,000 to $180,000.

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Job details

Pay: The anticipated base salary range for this role is $140,000 to $180,000.
Education: Bachelor’s degree
Experience: 7+ years of overall relevant experience in software engineering, data engineering or technical analytics, required
Posting language: English
Posted: Nov 4, 2026

Original job description

Position Summary:

The Carlyle Group seeks a hands-on engineering manager to lead AI and data engineering for Global Private Equity (GPE). The team builds and runs the platform that brings together portfolio company, deal, fund, valuation and performance data from Carlyle’s investment, portfolio monitoring and enterprise systems, and delivers it to investment teams, valuations, fund finance, investor relations and leadership through reporting, applications and AI-enabled tools. The role designs and ships production AI capabilities, including Model Context Protocol (MCP) services, agents and integrations that let investment professionals work with governed portfolio data in natural language on a cloud platform built on Snowflake, dbt and AWS. The manager leads a team of contract engineers, writes code most weeks, sets the engineering and evaluation bar, and is accountable for the accuracy, security and reliability of the AI and data services the business depends on. A successful candidate combines strong software and data engineering depth with sound product judgment and a track record of turning ambiguous finance workflows into reliable software, preferably in financial services or private markets.

Responsibilities:

AI Applications & Agents: Design, build and deploy LLM-powered tools, agents and integrations that let investment, valuation and fund finance teams work with governed portfolio data in natural language. This includes MCP servers and integrations with the firm’s enterprise AI platforms and assistants. Own each solution from discovery through production and adoption.
AI Evaluation & Quality: Define evaluation cases, regression suites and acceptance criteria for AI features. Measure accuracy, cost and latency, and gate releases on the results. Keep a clear boundary between deterministic calculation and validation on one side and model judgment on the other, so that answers trace back to source data.
AI Security & Governance: Build controls into the architecture rather than adding them afterward, including OAuth/OIDC authentication, entitlement-based row-level security, SQL and tool guardrails, handling of untrusted content and prompt injection, and audit logging. Partner with Information Security, Compliance and Data Governance.
Team Leadership: Lead and mentor a team of contract developers, data engineers and QA. Set technical direction, review designs and code, make build-versus-buy recommendations, and stay hands-on in the codebase while fostering collaboration, growth and accountability.
Data Products & Semantics: Maintain governed, well-documented data models and metadata (metric definitions, glossaries and lineage) so that reporting, applications and AI consumers share a single, trusted source of truth.
Engineering Practices: Champion code review and automated testing (unit tests, dbt tests, data reconciliation and AI evaluations), along with CI/CD through GitHub Actions, infrastructure as code with Terraform on AWS, and disciplined promotion across development, QA, UAT and production.
Production Support & Reliability: Own the stability of production AI services and the data pipelines behind them. Lead incident response, root cause analysis and remediation, and put monitoring, alerting and runbooks in place.
Data Quality & Controls: Ensure accurate, auditable data for valuations, fund performance metrics (such as IRR, MOIC, DPI and NAV) and investor reporting, and support audit and control reviews.
Platform Modernization: Support the transition of remaining legacy data and reporting workloads to the cloud platform, coordinating with vendor delivery teams.
AI-Enabled Delivery: Adopt AI coding assistants and agent-based workflows across the team, with human review, safety guardrails and shared team knowledge (rules, skills and documentation), to improve delivery speed and quality.
Business Partnership & Communication: Work with product owners and business users to turn ambiguous workflows into a prioritized backlog. Run Agile delivery in Jira, and communicate progress, risks, dependencies and technical decisions clearly to senior management and business stakeholders.

Requirements:

Education & Certificates

Bachelor’s degree, required
Concentration in computer science, engineering, finance, economics or another quantitative discipline, preferred
Cloud, data platform or AI certification (for example AWS, Microsoft Azure, SnowPro or dbt), preferred

Professional Experience

7+ years of overall relevant experience in software engineering, data engineering or technical analytics, required
3+ years building and operating production software or data solutions used by business stakeholders, required
2+ years leading engineering delivery, including owning a backlog, setting technical direction and coding standards, and reviewing the work of developers or contractors, required
Strong proficiency in Python and SQL, plus experience with C#/.NET or TypeScript, required
Demonstrated experience shipping LLM-powered applications to production users, including tool use and agents, retrieval, structured outputs, and prompt and context design, required
Experience evaluating AI systems by designing test cases and regression suites, diagnosing failures, tuning against measured results, and validating model output against source data, required
Hands-on experience with a cloud data platform and modern transformation tooling (for example Snowflake, Databricks or Azure Synapse, with dbt or Spark), required. Snowflake and dbt strongly preferred
Experience with AWS or Azure, CI/CD (for example GitHub Actions) and infrastructure as code (Terraform), required. AWS experience (ECS, Lambda, S3) is a plus
Experience with the Model Context Protocol (MCP), agent frameworks, or building tools and integrations for AI assistants, preferred
Knowledge of data architecture, including dimensional and semantic modeling, layered architectures, metadata and lineage, and data quality and reconciliation techniques, required
Understanding of security for data and AI systems, including OAuth/OIDC authentication, role- or entitlement-based access to sensitive financial data, and auditability, required
Experience managing production support, including incident management, root cause analysis and remediation, preferred
Familiarity with private equity, asset management, transaction advisory or other financial services data, such as fund structures, deals, valuations, portfolio monitoring and performance metrics, strongly preferred
Experience with Power BI or similar reporting tools, preferred
Hands-on use of AI coding assistants (for example Claude Code, Cursor or GitHub Copilot) in a team setting, including code review and guardrails for AI-generated work, required
Strong leadership, mentoring and communication skills, with the ability to turn ambiguous business needs into working software and to work effectively with business teams and contractors

Benefits/Compensation The compensation range for this role is specific to Washington, D.C, and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $140,000 to $180,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

Who We Are

When people, ideas, and capital come together, opportunity expands across private markets. At Carlyle, this belief has shaped how we invest for decades, fueling growth for companies and delivering performance for investors.

Visit our website to learn more about our firm and the ways our platform is shaping private markets.

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More about this job

Skills

Data engineering
Snowflake
dbt
AWS
SQL
Cybersecurity
Regulatory compliance
Team leadership
Collaboration
Test automation
CI/CD
GitHub
Infrastructure as code
IBM Terraform
Incident response
Root cause analysis
Reporting
Documentation
Communication skills
Agile
Jira
Computer science
Microsoft Azure
Industrial software
Python
C#
.NET
TypeScript
Databricks
Apache Spark
Microsoft Power BI
Leadership
Coaching

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