Full-Time

IAM Software Engineer

Reply

Reply

10,001+ employees

Consulting and system integration across sectors

No salary listed

Atlanta, GA, USA

Hybrid

Category
Software Engineering
Required Skills
PowerShell
Bash
Python
Postman
LDAP
SAML
REST APIs
OAuth

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Requirements
  • 3+ years’ experience in software engineering, IAM engineering, or API platform architecture
  • Experience working in “No Code / Low Code” workflow development platform
  • Hands-on experience with the Ping Identity platform, including PingFederate, PingAccess, PingDirectory, and/or PingOne
  • Knowledge of identity protocols including SAML, OAuth 2.0, OIDC
  • Proficiency in RESTful APIs, JSON, and Postman Tool
  • Scripting ability in Bash, PowerShell, Python, or similar
Responsibilities
  • Collaborate with infrastructure, cloud, and security teams to ensure reliable orchestration at scale
  • Implement and maintain Ping Identity solutions for seamless SSO, MFA, and adaptive authentication
  • Develop and maintain authentication policies, selectors, and adapters to support complex user journeys
  • Leverage PingOne DaVinci to orchestrate low-code identity workflows and integrate third-party security services
  • Utilize Ping REST APIs and scripting (e.g., Python, Bash) to automate operational tasks, monitoring, and administrative functions
  • Support Joiner-Mover-Leaver (JML) processes by integrating Ping stack components with upstream identity sources and downstream SPs
  • Collaborate with App Owners and Security teams to migrate legacy applications to modern protocols (OIDC/OAuth 2.0/SAML2.0/SCIM)
  • Troubleshoot complex authentication issues, latent LDAP queries, and synchronization errors across the Ping ecosystem
  • Create and maintain technical documentation, architecture diagrams, and automated operational run books
Desired Qualifications
  • Deep understanding of LDAP best practices, specifically with Ping Directory
  • Experience in a DevOps environment, treating "Identity as Code" through configuration automation and CI/CD pipelines
  • Strong working knowledge of JavaScript for custom business logic implementation
  • Advanced use of JSON for IAM related workflow payloads, REST API integrations, and event handling
  • Basic proficiency with HTML and CSS for custom UI, branding, and hosted page integration
  • Proven experience with Identity Orchestration and modernizing authentication flows (PingOne DaVinci experience is a plus)
  • Certifications in Ping Identity, or major IAM platforms

Reply designs and implements solutions using new communication channels and digital media, operating as a network of specialized firms that together create business models enabled by big data, cloud computing, digital media, and IoT. It provides consulting, system integration, and digital services to clients in telecom and media, industry and services, banking and insurance, and the public sector. The company helps organizations adopt digital business models by combining advisory, technology services, and implementation to design architectures, deploy IoT and digital media solutions, and integrate them with existing systems. By being a network of specialists rather than a single vendor, it offers tailored, cross-domain solutions across multiple industries to help clients create value and transform operations.

Company Size

10,001+

Company Stage

IPO

Headquarters

Turin, Italy

Founded

1996

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Simplify Jobs

Simplify's Take

What believers are saying

  • H1 2026 turnover reached €1.312 billion, with EBITDA €233.2 million and positive cash.
  • Microsoft named Reply an Agent 365 launch partner in April 2026.
  • Reply's AI launches now span banking, manufacturing, procurement, HR, and content production.

What critics are saying

  • Consulting commoditization hit Accenture and Cognizant; Reply faces the same AI pricing pressure.
  • FedTec deepens exposure to U.S. federal procurement, security reviews, and budget-cycle delays.
  • Microsoft, Mistral, and AWS can disintermediate Reply if clients buy platforms directly.

What makes Reply unique

  • Reply's specialized network model drove €667.0 million Q2 2026 revenue, up 8.7%.
  • FedTec adds U.S. federal clearances, defense customers, and a new growth wedge.
  • Mistral Forge, Agent 365, and Model Factory position Reply as enterprise AI integrator.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
GovCon Wire
Aug 11th, 2026
Italy's Reply Acquires Federal Contractor FedTec

CEO Ramanjit Singh and the existing leadership team will continue to run FedTec.

Associated Press
Jul 30th, 2026
Reply reports $1.5B revenue in H1 2026, up 7.4% on AI-driven growth

Reply S.p.A. reported consolidated turnover of €1,311.9 million for the first half of 2026, marking a 7.4% increase compared to the same period in 2025. The Italian technology consulting firm's EBITDA reached €233.2 million, whilst EBIT stood at €189.7 million for the six-month period. The company's second quarter performance showed consolidated turnover of €667.0 million, up 8.7% year-on-year. Reply's net financial position was positive at €402.0 million as of 30 June 2026. Chairman Mario Rizzante attributed the results to growing corporate investments in AI initiatives. He noted that artificial intelligence has become integral to growth strategies, driving convergence of software, data, and domain expertise. Reply specialises in solutions based on digital media and emerging technologies, serving clients across telecommunications, industry, banking, insurance, and public sectors.

Yahoo Finance
Jul 24th, 2026
Audi accelerates B2B used car platform development with AI multi-agent system from Comsysto Reply

Comsysto Reply has partnered with Audi to develop an AI-based multi-agent system for the carmaker's Used Car Platform, a digital marketplace for B2B used car trading. Since 2025, the platform has accounted for nearly 100% of Audi's B2B business in this sector. The solution uses three specialised AI agents built on GitHub Copilot to handle requirements analysis, code generation, and quality assurance. The agents work with a dedicated knowledge base containing the platform's architectural decisions and specifications, enabling them to produce outputs consistent with existing systems. The system follows a human-in-the-loop model, with AI handling repetitive tasks whilst developers focus on review and validation. Comsysto Reply has supported the platform since 2021, beginning with migration from legacy systems to AWS-based architecture.

Associated Press
May 28th, 2026
Reply launches production-ready AI applications to accelerate enterprise adoption

Reply has released a new set of Prebuilt AI Apps, production-ready agentic applications designed to accelerate enterprise AI adoption. The ready-to-use solutions combine process knowledge, curated datasets, domain ontologies and agentic workflows to deliver immediate operational value. The applications address key enterprise areas including credit evaluation, compliance assessment, manufacturing intelligence, HR processes, procurement and content production. They can be customised and integrated with existing enterprise systems whilst maintaining governance controls. Reply's Prebuilt AI Apps aim to help organisations transition from AI experimentation to scalable deployment by providing structured starting points that reduce initial complexity. The solutions automate recurring activities, improve decision-making through structured context and enhance user experience via conversational interfaces. The applications support industries including banking, critical infrastructure and manufacturing.

Business Wire
May 14th, 2026
Reply launches Model Factory to build custom generative AI models from enterprise data

Reply has launched Model Factory, an industrial production line for building generative AI models grounded in corporate knowledge. The platform enables organisations to train AI models using their internal documentation, software repositories, business data and domain expertise within secure vaults. The factory industrialises data preparation, training, evaluation and deployment through a controlled lifecycle. Its training layer includes pre-training for domain awareness, supervised fine-tuning for specific tasks, reinforcement learning for policy alignment, and distillation for efficient deployment. Each model is released as a versioned enterprise asset with quality controls and EU AI Act compliance. Reply CEO Tatiana Rizzante said proprietary models will become key strategic differentiators, allowing companies to transform distinctive assets into governed AI models that remain under their control whilst enabling continuous improvement and specialisation.