{"id":3085903,"url":"https://alion.io/job/honeywell-advanced-software-engr-3","title":"Advanced Software Engr","company":{"id":15856,"name":"Honeywell","domain":"honeywell.com","url":"https://alion.io/company/honeywell-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":79,"open_postings":92,"ghost_share":0,"stale_share":0.837,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-03T05:54:40Z"}},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ElasticSearch","optional":false},{"name":"JavaScript","optional":false},{"name":"LDAP","optional":false},{"name":"Linux","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"C#","optional":true},{"name":"Redis","optional":true},{"name":"Spark","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-07-28T14:01:53Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-11-03T19:54:46Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"description":"Location: Hyderabad\nFunction: Engineering / Platform & Data Infrastructure\nAbout the RoleWe are looking for a highly experienced Database Reliability Engineer (DBRE) with deep expertise in MongoDB, PostgreSQL, and Elasticsearch to own and support mission-critical database platforms serving enterprise SaaS applications. This role is not suitable for candidates with only development or basic DBA experience. The ideal candidate has extensive hands-on experience designing, operating, troubleshooting, and optimizing large-scale production environments containing millions of records, supporting 24x7 high-availability systems with strict uptime SLAs. The engineer will independently diagnose complex database failures, perform failovers, optimize performance under load, ensure business continuity, influence technical direction, and mentor junior engineers.\n Database Design & Architecture\nArchitect and implement scalable, high-availability MongoDB solutions including replica sets, sharded clusters, Atlas deployments, and disaster recovery architectures.\nDesign, implement, and manage MongoDB, PostgreSQL, and Elasticsearch environments across development, staging, and production.\nDefine schema design standards, sharding strategies, indexing approaches, data lifecycle management, and capacity planning.\nProduction Reliability & Operations\nOwn 24x7 production database operations with accountability for uptime, reliability, and SLA compliance.\nDiagnose and resolve complex database incidents, execute failovers, recovery activities, root-cause analysis, and business continuity procedures.\nLead rolling upgrades, patching, migrations, and maintenance with minimal or zero downtime.\nPerformance & Optimization\nAnalyze query patterns, design optimal indexes, tune aggregation pipelines, and eliminate bottlenecks.\nMonitor performance metrics and drive continuous improvements using profiler, explain plans, Atlas tools, and observability platforms.\nOptimize high-volume databases containing millions of records and heavy workloads.\nSecurity & Reliability\nImplement RBAC, TLS/SSL, encryption, LDAP integration, auditing, backup, recovery, and disaster recovery strategies.\nEnsure enterprise-grade database security, resilience, and operational governance.\nLeadership & Collaboration\nDefine database best practices, review data models, and provide technical leadership.\nMentor junior engineers and collaborate with development, platform, SRE, and DevOps teams.\n Required Qualifications\n8-12 years of database engineering, DBRE, DBA, or related experience.\n5+ years of hands-on MongoDBproduction support experience.\nDeep expertise in replica sets, sharding, Atlas, replication, failover, query tuning, and aggregation framework.\nStrong PostgreSQL and Elasticsearch administration and performance tuning experience.\nExperience managing databases supporting enterprise SaaS applications and millions of records.\nCloud experience on Azure, AWS, or GCPand strong Linux administration skills.\nProgramming experience in .NET, Java, Python, JavaScript/Node.js, or similar technologies.\nPreferred Qualifications\nMongoDB Certified DBA or Developer certification.\nMongoDB Atlas Vector Search, time-series collections, Ops Manager, or Cloud Manager experience.\nExperience with Kafka, Spark, Redis, Elasticsearch, Azure Cosmos DB, and database migrations.\nBackground in SaaS, telemetry, IoT, or large-scale enterprise data 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