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Federated Systems Group Jobs (NOW HIRING)

Saic

Information Systems Security Officer

Chantilly, VA · On-site

$120 - $160/hr

Collaborate with FVEY partners to enhance security posture and best practices across a federated ... Interpersonal and communications skills for written reports, group discussion, and oral ...

SAIC

Information Systems Security Officer

Chantilly, VA · Hybrid

$120K - $160K/yr

Collaborate with FVEY partners to enhance security posture and best practices across a federated ... Interpersonal and communications skills for written reports, group discussion, and oral ...

SAIC

Information Systems Security Officer

Chantilly, VA · On-site

$120K - $160K/yr

Collaborate with FVEY partners to enhance security posture and best practices across a federated ... Interpersonal and communications skills for written reports, group discussion, and oral ...

SAIC

Information Systems Security Officer

Chantilly, VA · On-site

$120K - $160K/yr

Collaborate with FVEY partners to enhance security posture and best practices across a federated ... Interpersonal and communications skills for written reports, group discussion, and oral ...

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How much do federated systems group jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for federated systems group in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

What is a federated systems group?

A Federated Systems Group is typically a team or organization specializing in the integration and management of federated systems—complex systems composed of multiple distinct, often autonomous, subsystems that cooperate to achieve a common goal. These groups focus on ensuring interoperability, data sharing, and seamless communication between different technologies or organizations without requiring full unification of their underlying systems. Their work is crucial in fields like defense, healthcare, finance, and large-scale IT infrastructure, where independent entities must collaborate securely and efficiently. The Federated Systems Group may also provide consulting, development, and support services for federated architectures.

What are common challenges faced by professionals in a federated systems group, and how can they be addressed?

Professionals in a Federated Systems Group often encounter challenges related to integrating diverse systems and ensuring seamless communication across different platforms or business units. Managing data consistency, security, and interoperability are key concerns, especially when collaborating with teams that have varying technical standards and protocols. To address these challenges, team members typically engage in regular cross-functional meetings, adopt standardized documentation practices, and utilize middleware or API solutions to bridge system gaps. Building strong relationships with stakeholders and staying updated on best practices in systems integration also help in navigating complex environments.

What are the key skills and qualifications needed to thrive as a federated systems engineer, and why are they important?

To thrive as a Federated Systems Engineer, you need expertise in systems integration, distributed computing, and a solid background in computer science or engineering. Familiarity with tools such as Kubernetes, Docker, cloud platforms (AWS, Azure), and federated learning frameworks is often required, along with relevant certifications. Outstanding problem-solving, collaboration, and communication skills help you coordinate across teams and manage complex projects. These skills are vital for ensuring seamless operation, security, and scalability in interconnected system environments.

What is the difference between Federated Systems Group vs Network Administrator?

AspectFederated Systems GroupNetwork Administrator
CredentialsIT certifications, security clearancesNetworking certifications (e.g., CompTIA Network+)
Work EnvironmentCollaborative, project-based, often in government or large organizationsOffice-based, managing local or enterprise networks
Industry UsageIT security, government, large corporationsIT departments across various industries
Search/Comparison IntentUnderstanding organizational roles in IT security and systemsManaging and maintaining network infrastructure

Federated Systems Group typically involves managing complex, secure IT systems within large organizations, often requiring specialized certifications. Network Administrators focus on maintaining and troubleshooting network infrastructure. While both roles are IT-focused, Federated Systems Group roles are more security and system integration-oriented, whereas Network Administrators handle day-to-day network operations.

More about Federated Systems Group jobs

What job categories do people searching Federated Systems Group jobs look for?

The top searched job categories for Federated Systems Group jobs are:

Federated Systems Group jobs near you
Infographic showing various Federated Systems Group job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $57,186 per year, or $27.5 per hour.

Forward Deployed Engineer, Client Solutions Group

Carlyle

New York, NY • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

Position Summary

This is a senior engineering role at the center of Carlyle's AI strategy, modeled on the Forward Deployed Engineer archetype: hands-on technical leaders who embed with the business, own end-to-end delivery, and operate with full ownership over the outcomes they ship. As a senior individual contributor and architectural authority at the intersection of full-stack engineering and applied AI, you will set the technical direction that others build against, partnering across a federated operating model of domain and platform teams.

You will embed directly with Client Solutions Group, Finance, and Fund Management teams across GPE, Credit, and AlpInvest to identify the highest-leverage AI and automation opportunities across Global Wealth operational processes, including NAV reporting, fee models, and financial reporting and ship them into production, translating ambiguous business problems into working software in weeks, not quarters.

You will design, evolve, and deliver full-stack solutions, and the AI-ready data foundations, semantic layers, and retrieval patterns beneath them, that turn manual, spreadsheet-based processes into automated, standardized, and auditable technology that both people and AI agents can rely on.

This position requires someone equally comfortable in a room with Finance and Fund Management stakeholders dissecting a calculation methodology, and at a whiteboard or keyboard designing the data model, semantic layer, pipeline, platform logic, and user-facing application that will replace it, end to end, full stack.

What Success Looks Like

In the first 12 months, you will have shipped multiple production AI products embedded in real Carlyle workflows, helped define the target-state architecture for AI-ready Global Wealth operational processes and established reusable patterns for retrieval and semantic access that accelerate every initiative that follows, and earned recognition as a trusted technical authority at the enterprise level. Your work will be visible at the highest levels of the firm.

In-office requirement: 4 days per week

Primary Responsibilities

Business Discovery & Requirements (30%)

  • Partner directly with Client Solutions Group product managers, Finance, and Fund Management stakeholders across GPE, Credit, and AlpInvest to understand user and business needs and document current-state Global Wealth operational processes, calculation logic, and data sources.
  • Translate business processes into clear technical requirements and target-state designs.
  • Facilitate working sessions and process walkthroughs with process owners to validate findings, resolve inconsistencies in metric interpretation, and build stakeholder alignment on standardized definitions.
  • Act as a trusted advisor to business stakeholders on what automation can realistically deliver, and in what sequence.

Full Stack Architecture, Solution Design & Delivery (50%)

  • Architect AI-ready data foundations, semantic layers, contextual metadata, data contracts, and retrieval-ready knowledge stores, so that LLMs, agents, and generative AI applications can reason reliably over investor and fund data.
  • Design and help build the pipelines, calculation logic, and governance controls that automate data processing across the firm's target-state architecture
  • Implement AWS-native services (Lambda, Step Functions, ECS, API Gateway, S3, and RDS) to create a robust technology infrastructure that supports high availability and scalability on the platform.
  • Leverage appropriate high-level languages and frameworks for backend microservices, data processing, and serverless orchestration.
  • Work hands-on to prototype and ship automated replacements for manual processes, prioritizing the highest-volume, highest-risk metrics first.
  • Architect solutions to support continuous delivery, using techniques like feature flags, canary deployments, and blue/green environments to reduce risk and accelerate release cycles.
  • Build automated unit, integration, and end-to-end tests to ensure code quality and reliability in production and contribute to a DevOps culture by integrating with CI/CD pipelines, observability tools, and security practices from development through deployment.
  • Establish reusable patterns, data definitions, and calculation templates so that each newly onboarded metric or fund is faster to deliver than the last and maintain end-to-end data lineage from source system through calculation to investor-facing report.

Team Leadership, Governance & Quality (20%)

  • Lead architectural design and code reviews, mentor engineers and analysts, uphold engineering standards across the team, and influence technical decisions across a matrixed, federated organization without direct authority.
  • Support and lead a group of senior developer to coordinate overall delivery of new features and ongoing platform maintenance.
  • Support the design of data quality checks, exception handling, and review workflows to replace manual, ad-hoc reasonability checks.
  • Track and communicate progress to technology leadership and business sponsors, and identify data quality, governance, and control gaps along with the requirements to close them.
  • Contribute to change management and adoption efforts as manual processes are retired in favor of automated solutions.

Requirements

Education & Certifications

  • Bachelor's degree, required
  • Concentration in computer science, data engineering, information systems, or a related field, preferred
  • Master's degree, preferred

Professional Experience

  • 6+ years of overall relevant technical experience, required
  • Professional software engineering experience, with deep expertise in full stack development, microservices, and system integrations, including time spent as a technical lead or architect, required
  • Proven, hands-on experience using AI coding agents (e.g., Cursor, Claude Code) and applying AI-Driven Development Life Cycle (AI-DLC) principles and tooling to accelerate delivery teams.
  • Direct, hands-on experience architecting and shipping generative AI systems in production, including designing retrieval, grounding, and semantic layers for LLM- and agent-based applications (RAG architectures, vector stores, embedding strategies, and structured tool use) preferred but not required.
  • Working fluency with modern AI platforms and tooling - e.g., AWS Bedrock, Databricks, Snowflake Cortex, OpenAI/Anthropic APIs, LangChain/LlamaIndex, MLflow, and vector databases (pgvector, Pinecone, or equivalents) - with the ability to evaluate alternatives.
  • Strong hands-on proficiency across the stack: modern frontend frameworks (React, Angular, or Vue) plus backend microservices and automation in a high-level language/framework.
  • Proven experience building and deploying applications on AWS (Lambda, Step Functions, API Gateway, S3, CloudWatch, RDS).
  • Strong grounding in modern DevOps and delivery practices: infrastructure-as-code, CI/CD pipelines, containerization (e.g., Docker), feature toggles, automated testing, and incremental delivery in production.
  • Deep understanding of RESTful APIs, event-driven architectures, and secure data integration, including integrating web portals and CRM platforms with internal and third-party systems.
  • Prior experience supporting Client Solutions Group, fund reporting, or private equity investor servicing functions.
  • Familiarity with data governance, auditability, and compliance, and exposure to BI/reporting or data visualization tools.
  • Experience scoping and shipping software directly with business users in regulated, high-stakes environments; financial services experience preferred but not required.

Competencies & Attributes

  • Builder's instinct under ambiguity. You start by shipping, measure progress in working software not slides, and can turn a vague business problem into a working prototype in a week.
  • Customer obsession. You sit with users, reimagine workflows alongside them, and ship solutions that are functional in the real world rather than theoretical on a slide.
  • Platform mindset. You see every use case as an opportunity to make the next one faster. You build patterns, not snowflakes.
  • Executive presence. You can sit across from a senior leader, ask the right questions, push back when needed, and earn trust.
  • Intellectual honesty about AI. You know what current models can and cannot do, you design around their limits, and you do not confuse demo magic with production reliability.
  • AI-forward instinct. You default to asking how AI changes a design, not whether AI can be bolted on later, and you have a clear point of view on where current architectural patterns - agents, tool use, evaluations, guardrails, and observability - actually apply.
  • Architectural judgment. You translate strategy into executable technical designs, and you can distinguish durable architectural decisions from AI hype.
  • Hunger to operate at the frontier. You want to build things that have never been built before, at a firm where the work matters.

Benefits/Compensation

The compensation range for this role is specific to New York, NY, 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 $160,000 to $190,000.

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 for an 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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