Jobs at StatusNeo

Lead the architecture and delivery of enterprise Generative AI solutions using LLMs, RAG, AI agents, cloud-native platforms, and enterprise integrations. Define AI strategies, reference architectures, governance, security, observability, and implementation roadmaps. Guide architecture reviews, mentor engineering teams, evaluate emerging technologies, and drive production delivery across regulated and enterprise environments.

Build and maintain data models, warehouses, and ETL pipelines using SQL, relational databases, big data technologies, cloud data services, and programming languages such as Python, Java, or Scala. Apply .NET development, DevOps, data security, and privacy practices while collaborating on innovative digital solutions. The role may involve national and international travel, professional development, conferences, and potential relocation or international assignments.

Design and lead enterprise-scale Adobe Experience Manager solutions, including architecture, integrations, deployment strategies, CI/CD, Dispatcher, CDN, caching, governance, security, and performance optimization. Lead and mentor development teams, make architectural decisions, and collaborate with stakeholders to deliver scalable digital experiences. Required expertise includes AEM, Java, OSGi, Sling, JCR, REST APIs, DevOps, and technical leadership.

Design and implement SAP Cloud Platform Integration solutions, particularly for SAP SuccessFactors Employee Central. Develop and manage end-to-end cloud integrations using web services, XML, JSON, REST, and OData. Support global projects, ensure data quality, apply .NET and DevOps practices, collaborate with international teams, and adapt solutions to changing business needs. Travel may be required for national and international assignments.

Lead AI engineering maturity assessments and advise enterprise CTOs, CIOs, and engineering leaders on AI-enabled SDLC and agentic systems. Build and prototype AI-assisted engineering workflows, multi-agent systems, and secure enterprise architectures. Translate diagnostics into actionable transformation roadmaps, capability heatmaps, governance models, and tooling recommendations. Facilitate executive workshops, publish thought leadership, contribute to AI frameworks and accelerators, and travel globally to work with customers.

Leads global infrastructure engineering teams and oversees the development, deployment, reliability, security, compliance, automation, observability, and cost optimization of enterprise infrastructure and cloud services. Establishes infrastructure product roadmaps, modernizes legacy systems, manages IT budgets, ensures service-level objectives, and collaborates with cybersecurity and other stakeholders to deliver scalable, reliable platforms.

Define and execute the technology vision, strategy, and roadmap; oversee architecture, data engineering, cloud platforms, security, scalability, and technology delivery. Partner with executive and commercial stakeholders to align technology with business outcomes, manage technical risks, and lead senior engineering and technical leadership teams in enterprise-scale environments.

Conduct data science work involving machine learning, NLP, graph databases, statistical analysis, predictive modeling, data management, and visualization. The role requires Python expertise, problem-solving, collaboration, adaptability, and innovative thinking. Travel may be required for national and international business activities.

Build and advise on AI-native engineering transformations for enterprise customers. Lead AI maturity assessments, evaluate AI use across engineering workflows and the SDLC, design agentic systems, and create actionable transformation roadmaps. Prototype secure AI architectures and workflows while advising CTOs, CIOs, and engineering leaders. Facilitate executive workshops, develop thought leadership, and contribute to AI frameworks, maturity indexes, and engineering accelerators.

Designs, develops, and deploys production Generative AI and LLM applications, including RAG pipelines, AI agents, semantic search, backend APIs, and enterprise data integrations. Builds scalable data and MLOps solutions using Databricks, Snowflake, and AWS. Collaborates across engineering and data teams while optimizing model performance, cost, latency, security, compliance, and privacy, including HIPAA requirements where applicable.

Develop and customize SAP Hybris solutions for large-scale e-commerce projects. Responsibilities include working with Hybris Commerce, Marketing, Billing, and Customer Data Cloud modules; data modeling and integrations; Java and J2EE development; relational databases and SQL; RESTful and SOAP services; unit and integration testing; debugging; and collaboration with project teams. Travel may be required as needed.

Develop and maintain full-stack software solutions using .NET Core, Web API, C#, React, databases, Git, and Azure. Apply coding best practices and design patterns, support cloud deployment, troubleshoot issues, and collaborate with colleagues to deliver innovative digital products. Ant Charts experience is beneficial, and travel may be required.

Leads technical sales strategy and solutions engineering for enterprise accounts. Designs high-level architectures spanning cloud, data, AI, digital platforms, modernization, and engineering transformation. Partners with sales, delivery, engineering, and executives on discovery, proposals, RFPs, commercial pursuits, workshops, proof-of-concepts, pricing, and delivery transition. Advises senior client stakeholders, develops solution narratives and reusable offerings, drives account growth, and provides thought leadership on AI-native transformation and modern software delivery.

Lead quality engineering initiatives across enterprise applications, APIs, cloud-native services, and AI-powered solutions. Define test strategies, quality standards, governance, and metrics; mentor QA and automation teams; build scalable UI, API, backend, integration, and end-to-end automation frameworks; integrate testing into CI/CD pipelines; and validate AI applications for accuracy, hallucinations, bias, ranking, inference behavior, and adversarial scenarios.

Manage Adobe Experience Manager components, templates, workflows, and personalization. Design and monitor A/B and multivariate testing campaigns using Adobe Target or similar tools. Build reliable end-to-end UI automation with Playwright and TypeScript or JavaScript, validate user journeys and dynamic elements, and integrate automated regression testing into CI/CD pipelines such as Adobe Cloud Manager and GitHub Actions.

Design and implement cloud-native DevOps and platform engineering solutions for enterprise clients. The role requires deep AWS expertise, AWS CDK with Python, OCI, Terraform, reusable infrastructure modules, remote state management, high availability, parameterization, AWS Lambda, Boto3, and TypeScript. The consultant will apply enterprise best practices, solve complex technical problems, collaborate with teams, adapt to changing conditions, and travel as needed.

Develop and maintain React Native applications using clean JavaScript, native iOS and Android build tools, REST APIs, offline storage, third-party dependencies, and automated testing. The role requires debugging dependency conflicts, applying functional or object-oriented programming, collaborating effectively, adapting to changing conditions, and traveling as needed.

Designs, manages, and automates cloud infrastructure, deployments, and system operations. Responsibilities include infrastructure as code, container orchestration, CI/CD, configuration management, scripting, database administration, monitoring, logging, alerting, and infrastructure and application testing. The role supports reliable, secure, and high-performing cloud-native platforms using AWS, GCP, Kubernetes, Docker, and related DevOps technologies.

Supports partner API integration initiatives by gathering requirements, coordinating engineering and external partners, defining user stories and acceptance criteria, tracking risks and progress, and assisting with testing, validation, documentation, and launches.

Lead a large-scale Oracle Cloud Infrastructure data platform migration through architecture assessment, target-state design, migration planning, and hands-on technical execution. Optimize Oracle databases, SQL, ETL/ELT pipelines, synchronization, and cloud infrastructure. Establish monitoring, observability, automation, coding standards, and deployment practices while leading technical triage and collaborating with engineering, infrastructure, architecture, and business stakeholders.