Jobs at PALO IT

Designs and maintains scalable AWS cloud infrastructure, develops CI/CD pipelines, automates infrastructure with Terraform or CloudFormation, monitors and optimizes application performance, troubleshoots infrastructure issues, collaborates with development teams, and ensures cloud security compliance.

Leads cross-functional teams building scalable AI-driven applications using Python, Java, TypeScript, and GCP. Designs databases, integrates Google ADK services, oversees architecture and code quality, mentors engineers, and collaborates with product stakeholders on technical roadmaps. The role also promotes AI-native development practices and continuous innovation.

Oversee platform security and networking from design through remediation. Responsibilities include threat modeling, security policy development, secrets and KMS design, token vault management, penetration-testing oversight, vulnerability remediation, Google Cloud security, API and OAuth security, and Kubernetes/container hardening. The role also supports compliance with SOC 2, ISO 27001, and GDPR for SaaS environments.

Manage APAC IT operations, infrastructure, devices, networks, SaaS access, onboarding and offboarding, system maintenance, backups, user support, documentation, asset inventory, security compliance, vendors, and procurement. The role also drives automation, monitoring, operational improvements, and scalable technology processes across international teams.

Lead AI pilot and transformation programs for enterprise clients, including discovery, roadmap development, stakeholder alignment, capability building, metrics, and change management. Coach delivery teams on AI-augmented software development, help establish AI Centers of Excellence, and co-design multi-agent toolchains and automation. Support presales, thought leadership, and methodology development while integrating emerging AI tools into structured delivery practices.

Lead client AI transformation programs from discovery through deployment, including roadmaps, stakeholder alignment, capability building, metrics, and AI Centre of Excellence setup. Coach delivery teams on AI-augmented software development, co-design agentic toolchains and multi-agent systems, evaluate emerging AI tools, support presales, and contribute to thought leadership through articles, events, frameworks, and playbooks.

Manage and grow strategic enterprise accounts and AI partnerships (Microsoft, GitHub), build executive relationships, own account P&L and commercial performance, design joint GTM initiatives, contribute to AI offerings and executive thought leadership, and scale the partnership ecosystem across Europe.

Leads the engineering organization, translating CTO strategy into execution across AI-first client and product teams. Owns architecture and AI governance, engineering standards, delivery roadmaps, token economics, incidents, technical quality, KPIs, and complex client deployments. Manages and develops engineers, runs the hiring process, builds the technical community, supports staffing and presales, and feeds delivery learnings into the company’s Gen-e2 methodology and R&D practice.

Senior Forward Deployed Engineer who embeds with enterprise clients to deliver AI-powered products from discovery through production and adoption. Responsibilities include framing ambiguous problems, building full-stack systems, independently delivering workstreams, managing risks, presenting to stakeholders, and applying AI coding tools, prompt engineering, and critical review. The role requires strong software development, client-facing consulting, system design, and experience with LLMs or generative AI.

Leads sales strategy and business development for the Singapore consultancy, including market analysis, go-to-market planning, prospect engagement, pipeline development, client relationship management, proposal creation, and strategic partnerships. Collaborates with marketing, product, service, and domain teams to identify growth opportunities, tailor solutions, ensure client satisfaction, and support sustainable business expansion.

Build, test, and deploy compliance-focused workflow and document automation solutions using Power Apps, Power Automate, SharePoint, and Copilot Studio. Responsibilities include developing approval workflows, configuring SharePoint data structures, integrating submission channels and APIs, creating reporting interfaces, importing and reconciling data, supporting testing and defect resolution, applying governance controls, and producing documentation and handover materials.

Design, build, and maintain scalable backend services and RESTful APIs using Python and FastAPI. Lead backend architecture, optimize performance, ensure security, implement CI/CD and observability, mentor engineers, and apply AI-native practices including generative AI tools and prompt engineering throughout the development lifecycle.

Lead design, evolution, and governance of enterprise data architecture. Define data models, integration patterns (batch and real-time), and technology choices. Drive metadata management, lineage, data quality, privacy, and adoption of cataloging tools. Collaborate with engineering, analytics, and business teams to translate requirements into scalable cloud data solutions and promote standards, best practices, and AI-native development.

Design, implement, test, and maintain scalable Java backend systems and RESTful APIs using Spring Boot and microservices. Collaborate with architects and analysts, participate in agile ceremonies and code reviews, mentor junior developers, and improve development processes and automation.

Lead the architecture and technical delivery of scalable full-stack solutions using .NET Core and React. Design microservices, APIs, integrations, and event-driven systems while enforcing engineering standards for testing, CI/CD, security, and observability. Mentor engineers, guide architectural decisions, collaborate with product and cross-functional teams, assess technical risks, and incorporate AI-first practices into software delivery.

Manage and grow existing client accounts while developing new engagements and business opportunities. Lead client relationships, proposals, account strategy, project success, delivery alignment, budgets, and account P&L. Work with internal teams to deliver projects on time and within budget, influence senior technology decision-makers, and represent the company at industry events.

Own strategic account growth and AI partnership development across enterprise and public-sector clients. Build executive relationships, create long-term account strategies, manage commercial performance, develop joint go-to-market initiatives with Microsoft and GitHub, coordinate executive engagements and events, and contribute to AI consulting offerings, thought leadership, and commercial playbooks.

Designs and maintains scalable Java backend services using Spring Boot, RESTful APIs, and microservices architectures. Responsibilities include full software development lifecycle participation, technical collaboration, automated testing, code reviews, deployment, and maintenance. The role also involves mentoring junior developers, contributing to technical decisions, supporting R&D initiatives, and ensuring clean, secure, high-performance code.

Lead client-facing delivery of AI-first, full-stack products from discovery to production. Architect and build LLM-powered systems, manage scope and risks, embed with client teams, drive adoption, and mentor engineers while applying AI-native workflows, prompt engineering, and Gen-e2 methodology.

Design and build AI-augmented prototypes and production software. Architect scalable solutions, write and review code, conduct accessibility/performance/security audits, use AI coding assistants and prompt-engineering, collaborate with clients and R&D, and stay current with AI development practices.