{"id":823829,"url":"https://alion.io/job/ncs-eg-forward-deployed-engineer-multi-cloud-platform","title":"#EG Forward Deployed Engineer - Multi Cloud Platform","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":354,"ghost_share":0.299,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":122000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Confluence","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Fortify","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Hibernate","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Selenium","optional":false},{"name":"SonarQube","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"VMWare","optional":false},{"name":"Java","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-19T06:23:53Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-12T10:31:18Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":53},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n As a Forward Deployed Engineer at NCS, you will work hands-on, designing, rapidly building and maintaining AI applications built on various Cloud environments such as GCP, AWS, Azure.\nIn this position, your responsibilities will include designing, deploying, and supporting various Cloud AI solutions and leverage on services such as Gemini Enterprise, AWS Bedrock, Cloud Run, Google Kubernetes Engine, Google Cloud VMware Engine, and Compute Engine. Your experience should cover secure foundations/landing zone delivery, cloud migrations, LLMOps, Agentic Workflows and Rapid Prototyping. A deep understanding of DevOps principles, platform delivery, and application/developer enablement is essential. You will also work with a wide range of applications and architectures, requiring a solid comprehension of APIs, software development practices, networking concepts, and security best practices.\nYou will work closely with technical and non-technical stakeholders to ensure successful project delivery, provide ongoing support, and identify continuous improvement and optimisation opportunities. Excellent communication and problem-solving skills are a must, as is the ability to adapt to evolving requirements and technologies in the dynamic cloud landscape.\nMost of all, we'll want you to have strong consulting skills, a customer-first attitude, a keen focus on secure software delivery, and a desire to add value both internally and externally.\nAdditional Information\nPrevious experience in a similar role as an AI focused Engineer developing, implementing or managing secure Google Cloud/AWS/Azure based AI solutions at an enterprise level \nStrong exposure to AI technologies such as Gen AI, Agentic AI, LLMOps, rapid prototyping, finetuning AI Apps performance etc..\n Mandatory hands-on AI experience of at least 4 years, with at least one year hands-on experience in different cloud environments.\nPrevious experience of working on Government projects\nPrevious experience building infrastructure as code with Terraform at an advanced level\nAbility to script in at least one of the following languages: Python, Bash\nApplied knowledge of CI/CD concepts and deployment of platform solutions\nSolutions experience leveraging core services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc and their equivalent in respective cloud platforms.\nBe well-versed in networking concepts, including virtual private clouds (VPCs), subnets, load balancing, firewalls, and DNS\nSecurity-focused with a deep understanding of cloud security principles, threats, and mitigation techniques\nHold one more of the following Professional Level Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Cloud certifications\nResponsibility\nDesign and build solutions leveraging upon AI technologies\nDevelop traditional APIs, services and backend jobs in both server and GCP, AWS, Azure environments\nDesign and build solutions for transition from traditional, legacy platforms to Agentic workflows\nRefactor existing multi-channel architecture providing differentiated end-user experiences by leveraging AI Technologies, containerization and cloud technology\nFollow governance and microservices development guiding principles in ensuring that the best practices are adhered to as part of the development cycle\nDemonstrate ownership of technical designs, code development, and component test execution to align with functional specification.\nUse configuration management and integration/build automation tools to deploy application code.\nPerform code scans, code reviews and provide critical suggestions for fixes and improvements\nSupport issue analysis and resolution activities during test and production support phases\nCollaborate within a project team comprised of talented employees with diverse and complementary skills\n Mandatory - Hold one or more of Professional Level Cloud certifications: Generative AI Leader, Machine Learning Engineer, Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Cloud certifications\nMinimum 6-7 years of relevant IT experience, preferably with an SI company\nTechnically hands-on IT professional and equipped with one or more of the following languages, tools and technologies:Python, Java (minimum version 8), J2EE, Spring, Spring Boot, JPA, Hibernate\nAWS Bedrock, Google Vertex, Azure Foundry\nStrong exposure to various LLMs leveraging on RAG, Agentic workflows, appropriate design patterns and best practices\nStrong hands-on experience with containerization and cloud technologies (Kubernetes, Docker, AWS EKS/ECS, Fargate, Cloud native services such as GCP Cloud Run/AWS Lambda) as well as DevOps and testing tools (Git, SVN, TFS, Jira, Confluence, Jenkins, Nexus, Selenium, SonarQube, Fortify)\nStrong understanding of security as part of design\nStrong exposure to API Management Frameworks such as Apigee, WSO2 etc\nGood exposure to Javascript frameworks such as React.js, Angular.js etc\nDatabases such as MySQL, MS SQL, Oracle\nBigQuery, AWS native NoSQL such as DynamoDB, Aurora, MS Fabric\nStrong exposure to cloud-native application architecture etc\nGood understanding of fine tuning performance in production systems\nHands on in troubleshooting production issues\n\nExperience in software development and maintenance lifecycle\nStrong problem solving skills with the ability to engage all stakeholders up to Director Level\nStrong verbal and written communication skills with excellent interpersonal and leadership qualities\n Why Join NCS\nLead high-impact AI management consulting programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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