{"id":1254399,"url":"https://alion.io/job/neutron-devsecops-engineer-ai-platform","title":"DevSecOps Engineer — AI Platform","company":{"id":3802293,"name":"Neutron","domain":"neutron.sg","url":"https://alion.io/company/neutron-5","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Security","role_family":"Security","seniority":"middle","employment_type":"contractor","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":{"min":8000,"max":9000,"currency":"SGD","period":"month","gross":true,"usd_annual":84564},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-14T00:00:00Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"2 days WFH\nAbout the role\nYou will be the main hands-on engineer across the full lifecycle of an AI-powered document processing and case intelligence platform on AWS GCC. This spans development and platform engineering; it is not a backend-only role. You will work with the business owner, business analyst and solution architect to translate user stories into technical requirements, and take ownership of end-to-end infrastructure and security solutions across the products and relevant systems. 12-month contract with an optional 12-month extension. \nKey responsibilities\nWork with the business owner, business analyst and solution architect to translate user stories into technical requirements\n\nDevelop and maintain API integrations with the case management system and any other required systems\n\nDesign and build the agentic AI pipeline, including LLM API integration, prompt engineering, skill and context design, structured output schemas, confidence scoring and error handling\n\nWork with the Software Quality Engineer to develop automation and processes to deploy, manage, scale and monitor applications in data centre and cloud environments\n\nTroubleshoot and resolve system and application issues, participating in on-call escalations for critical incidents\n\nTake ownership of end-to-end infrastructure and security solutions across the products and relevant systems\n\nDeploy and manage monitoring tools to track infrastructure performance, utilisation and health\n\nConfigure and maintain CI/CD pipelines, incorporating streamlined change management and release processes\n\nDevelop scripts and automation tools to support software build, integration and deployment across development and production environments\n\nPlan, implement and monitor system security architecture, including threat and risk assessments\n\nAbout you\nMinimum 4 years' relevant working experience\n\nDegree or diploma in Computer Science, Computer or Electronics Engineering, IT or a related discipline\n\nPassion for automation, standardisation and best practices in infrastructure and security\n\nStrong understanding of the Software Development Life Cycle (SDLC), Test-Driven Development (TDD), Continuous Integration (CI) and Continuous Delivery (CD)\n\nTrack record in agentic AI system design: multi-agent pipelines, Bedrock AgentCore, orchestration and MCP Server, RAG knowledge bases, human-in-the-loop architecture\n\nExperience working with high-availability, high-performance and high-security multi-data-centre systems and hybrid cloud environments\n\nProficiency in PowerShell and Python\n\nExperience with Git and modern branching workflows\n\nStrong understanding of container technologies (Docker, Kubernetes)\n\nExperience with CI/CD pipelines (GitHub Actions, GitLab CI)\n\nSignificant advantage \nExperience in regulatory or compliance contexts where agent outputs must be accurate, auditable and structured for expert reviewers \n\nAdded advantage \nSecurity certifications such as CREST, CISSP, CISM or relevant cloud security credentials \n\nExperience working in an organisation that successfully implemented a DevSecOps transformation \n\nHands-on experience with API security, secrets management and zero-trust architectures \n\nExperience developing and deploying systems on GCC \n\nSkills\nInfrastructure Monitoring, AI Agents, hands-on skills, Pipeline Management, Case Management Systems, Business Ownership, Software Quality Engineering, Structured Analysis, Systems Management, Selling security solutions, resolve system issues, Confidence Building, Escalation Process, Prompt Engineering, Change Management Process, DevSecOps","description_format":"text","description_chars":3599,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","DevSecOps","Web Development Services","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-09-25T17:56:20Z"}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.701,"p_room":0.75,"age_days":12,"expected_fill_days":17,"reasons":["seen:12","win:late"],"computed_at":"2026-09-26T05:45:00Z"},"pay":{"stated_usd_annual":84564,"is_top_pay":false},"html_url":"https://alion.io/job/neutron-devsecops-engineer-ai-platform","json_url":"https://alion.io/job/neutron-devsecops-engineer-ai-platform.json","meta":{"generated_at":"2026-09-27T01:44:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1559,"day_limit":5000,"remaining_today":3441,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}