{"id":2398149,"url":"https://alion.io/job/pm-consulting-cloud-software-engineering-advisory-lead","title":"Cloud Software Engineering Advisory Lead","company":{"id":4421389,"name":"PM Consulting","domain":"pmconsulting.ph","url":"https://alion.io/company/pmconsulting-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1790},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ActiveMQ","optional":false},{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FinOps","optional":false},{"name":"GraphQL","optional":false},{"name":"IAM","optional":false},{"name":"Redis","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-12T22:49:46Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T04:54:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Overview\nWe are seeking an experienced Advisory Lead - Cloud & Software Engineering to drive the strategy, design, and delivery of cloud-native and software engineering solutions for enterprise clients. This role requires a strong blend of technical leadership, consulting expertise, and cloud transformation experience, with a focus on helping organizations modernize their technology landscape and achieve business objectives through scalable, secure, and cost-effective solutions.\nThe successful candidate will work closely with stakeholders to understand business requirements, recommend appropriate cloud and engineering strategies, and lead complex transformation initiatives across cloud platforms, software architecture, integration ecosystems, and DevOps environments.\nKey Responsibilities\nLead the planning, design, and delivery of cloud and software engineering solutions aligned with client business and technology goals.\nEngage with stakeholders to assess cloud and software engineering requirements and provide strategic guidance and technical advisory support.\nDrive cloud transformation, application modernization, integration, and engineering initiatives across enterprise environments.\nEvaluate existing technology landscapes and recommend suitable cloud architecture and engineering practices.\nPromote a culture of innovation, collaboration, and adherence to industry best practices.\nStay current with emerging technologies, cloud platforms, software engineering methodologies, and agile delivery approaches.\nProvide leadership across cloud migration, modernization, integration, security, and optimization programs.\nSupport cloud cost management initiatives through effective resource planning, governance, and utilization strategies.\nLead and mentor engineering teams while ensuring successful project delivery.\nCollaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing solutions.\nRequired Qualifications\nEducation\nBachelor’s degree, Master’s degree, or equivalent practical experience in a relevant field.\nRelevant cloud certifications, including:\nAzure Solutions Architect Expert (AZ-305)\nDevOps Engineer Expert (AZ-400)\nExperience\nProven experience designing and implementing cloud solutions based on architectural best practices, primarily within Microsoft Azure environments.\nExtensive experience in cloud transformation, migration, modernization, systems integration, cloud security assessments, and cloud financial management (FinOps).\nAt least 10 years of software development, architecture, and engineering experience.\nDemonstrated experience leading and mentoring software engineering teams.\nRequired Technical Skills\nCloud & Architecture\nStrong expertise in designing and implementing enterprise-grade cloud solutions, with a primary focus on Microsoft Azure.\nSolid understanding of enterprise networking, security principles, and identity and access management (IAM).\nExperience working with software-as-a-service (SaaS) platforms and large-scale distributed systems.\nSoftware Engineering\nStrong knowledge of microservices architecture and implementation patterns.\nExperience designing and consuming RESTful and GraphQL APIs.\nProficiency in data modeling, relational databases, and NoSQL databases.\nExperience with distributed caching technologies such as Redis.\nExperience with messaging and event-streaming technologies such as Kafka, ActiveMQ, or similar platforms.\nFamiliarity with search and indexing technologies such as Elasticsearch.\nDevOps & Delivery\nExperience with Azure DevOps services and cloud-based development practices.\nAbility to design, implement, and manage DevOps solutions across the software delivery lifecycle.\nStrong understanding of Agile methodologies, CI/CD pipelines, DevSecOps practices, and secure software engineering principles.\nLeadership & Communication\nProven ability to lead technical discussions, influence stakeholders, and drive successful outcomes across multiple teams.\nStrong written and verbal communication skills with the ability to engage both technical and non-technical audiences.\nComfortable operating in fast-paced, dynamic environments with minimal supervision.\nPreferred Qualifications\nExperience with serverless and cloud-native technologies, including Azure Functions, Logic Apps, Container Apps, or similar services.\nUnderstanding of Generative AI concepts, including Large Language Models (LLMs) and enterprise AI use cases.\nFamiliarity with frameworks and platforms used for Generative AI application development, such as LangChain, LlamaIndex, OpenAI APIs, Azure OpenAI, AWS Bedrock, or similar 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