{"id":4002735,"url":"https://alion.io/job/manila-recruitment-senior-software-engineer-java-2-headcount","title":"Senior Software Engineer (Java) - 2 Headcount","company":{"id":1582,"name":"Manila Recruitment","domain":"manilarecruitment.com","url":"https://alion.io/company/manila-recruitment","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Muntinlupa, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ActiveMQ","optional":false},{"name":"Angular","optional":false},{"name":"Apache Tomcat","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Git","optional":false},{"name":"Hibernate","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"JUnit","optional":false},{"name":"Mockito","optional":false},{"name":"New Relic","optional":false},{"name":"Oracle","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-10T04:32:22Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T04:32:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Design and Engineering Judgement\nOwn how a change is designed, not only that it works. Apply SOLID and the common design patterns where they earn their place, and know when not to. On legacy code, choose the smallest safe change and improve the structure around it once the risk is understood. You are expected to explain why a design holds and what it trades away.\nDesign decisions defended at review, with the trade-off stated\nChanges to legacy code made safely, without widening it\nComponents other engineers extend without having to rewrite them\nDelivery on the Java Estate\nDeliver changes across the stack, from JSP, JSF and Angular screens through the Java services to the Oracle and SQL Server data. Current Java and Spring, the older frameworks still in production, application servers such as Intershop, Tomcat and JBoss, and ActiveMQ and Elasticsearch where the product uses them.\nJava and framework upgrades planned rather than forced by an incident\nPerformance and Production Diagnosis\nFind the real cause of a production problem, not the workaround. Read traces and logs in New Relic, profile slow screens, and follow a problem down to the query, the lock or the unclosed connection behind it. Fix it in the code and prove the fix against production data.\nRoot cause identified in the code or data, with the evidence\nFixes confirmed against production monitoring after release\nRecurring problems trending down\nRebuilding Knowledge of the Code\nMuch of this code was written by people who are no longer here. Work out how the product actually behaves, write down what you learn where the next engineer will find it, and use AI tools to read and explain unfamiliar code faster, checking what they tell you against the code itself.\nDocumentation kept current for the areas you have worked on\nFewer questions that only one person can answer\nHandover from the third party closed out on schedule\nUnit Testing as Part of the Code\nUnit tests are part of the code you write, not a task that follows it. They are committed in the same change, cover the logic and edge cases you introduced, and run fast enough for the pipeline to rely on them. Where legacy code has no tests, add them around the area you are about to change before you change it. Above that level you agree with the Quality Engineer what belongs where.\nUnit tests merged in the same change as the code\nTests added around legacy code before it is changed\nTest level agreed with the Quality Engineer rather than duplicated\nSource Control, Deployment and Run\nWork reaches production through source control and the pipeline. Small changes, short-lived branches, a history someone can follow, and a pull request reviewed before merge. Nothing is edited in place on a server. Take your change into production, watch it, and own it afterwards, including a share of the on-call rota for what your team holds.\nChanges delivered through pull request and pipeline\nOn-call covered, with the incidents you owned closed to root cause\nRecurrence rate on the problems you have closed\nWorking with AI and as One Team\nSpecify the work and its acceptance criteria first, use coding agents to produce it, then review the result against what you wrote. Review other people's work honestly, explain the reasoning behind your own, and contribute back to the shared standards.\nGenerated code reviewed against the specification rather than accepted because it runs\nReviews that improve the work rather than approve it\nContributions to the shared standards, versioned and maintained\nRequirements\nSubstantial commercial Java engineering experience, hands-on, with personal accountability for software you delivered and then supported in production.\nJava depth. Core Java, Spring and Spring Boot, JSP or JSF, Hibernate or JDBC, and application servers such as Tomcat or JBoss. Experience of a large legacy monolith is the requirement we do not flex on, and Intershop or another commerce platform is a strong advantage.\nData and integration. Oracle SQL and PL/SQL, SQL Server, query tuning, connection pooling and transaction handling. REST and XML based integration such as cXML. Angular, ActiveMQ and Elasticsearch are beneficial.\nTesting, source control and production operations. JUnit and Mockito or equivalent, Git with pull request review, CI/CD with Jenkins or Azure DevOps, monitoring with New Relic or similar, and production support. You have carried a pager and are willing to again.\nHands-on use of AI coding tools in daily work, and a clear sense of where their output cannot be trusted. 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Docs: https://alion.io/developers"}}