{"id":2094954,"url":"https://alion.io/job/1kosmos-senior-database-engineer","title":"Senior Database Engineer","company":{"id":7963,"name":"1Kosmos","domain":"1kosmos.com","url":"https://alion.io/company/1kosmos","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_cell","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon DocumentDB","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flyway","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"Liquibase","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS Glue","optional":true},{"name":"FedRAMP","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-08T16:24:08Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T21:09:10Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.\n1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.\nWe are looking for a Sr Database Engineer to own the day-to-day operation of our database estate. Our production services run on MongoDB and Amazon DocumentDB, with PostgreSQL and DynamoDB alongside them, and our reporting data lands in Apache Iceberg tables on S3 that we query through Amazon Redshift. You will be the owner of everything that keeps that estate healthy and moving: pre-deployment migrations, upgrades, query performance, customer data requests, backup and recovery, and incident response.\nThis is an operations-first role. You will work alongside our senior database architect, who leads our data platform projects, and take full ownership of the run work so the whole team can move faster. We want someone who thinks before they change something: you read the release notes before a MongoDB upgrade and know which application queries it could break, and you find the slow query and fix the index before a customer notices. This is an on-call role.\nKey Responsibilities\nOwn day-to-day operations across MongoDB, Amazon DocumentDB, PostgreSQL, DynamoDB, and Amazon Redshift, including health checks, capacity, connections, and storage growth.\nPlan and execute database version upgrades, assessing driver compatibility, deprecated features, and query behavior changes against application code before anything reaches production.\nFind and fix slow queries by profiling workloads and reading explain plans, then design, add, or retire indexes based on real query patterns.\nRun pre-deployment schema and data migrations for each release, with pre-checks, verification of the result, and a tested rollback.\nManage versioned database migrations in Git (Liquibase, Flyway, or equivalent), reviewed through pull requests and applied through CI with GitHub Actions.\nHandle customer data requests, including extracts, reports, corrections, and deletion requests, with the right approvals and an audit trail.\nMaintain reporting access in Redshift over Iceberg tables in S3 (external schemas, Spectrum, Glue Data Catalog), including views, grants, and query performance.\nOwn backup, point-in-time restore, and failover. Rehearse restores on a schedule and document them so anyone on the team can run them.\nManage database access, including users, roles, grants, secrets rotation, and access reviews that hold up to SOC 2 and ISO 27001 audits.\nBuild and tune monitoring and alerting for query latency, replication lag, disk, connections, and cost.\nRespond to database incidents, lead root-cause analysis, and follow through on the fixes.\nAutomate repetitive DBA work with Python or Bash so the operational load shrinks over time.\nWork closely with Development, Customer Success, the ML team, and DevSecOps on releases, installations, and customer escalations.\nParticipate in an on-call rotation.\nRequirements\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).\n5+ years of experience administering production databases.\nHands-on production experience with MongoDB or Amazon DocumentDB, including replica sets, indexing, TTL, and upgrades.\nHands-on production experience with PostgreSQL.\nStrong SQL and experience with Amazon Redshift or a comparable analytical query engine (Athena, Trino, Snowflake, or BigQuery).\nA track record of production database upgrades, including assessing application impact before the upgrade.\nIndex design and query tuning driven by profiler and explain plan output.\nExperience running schema and data migrations as part of a release process.\nBackup, restore, and replication in production, with recovery that has actually been tested.\nStrong experience with AWS database and supporting services (RDS or Aurora, DocumentDB, DynamoDB, S3, IAM, Secrets Manager, CloudWatch).\nProficiency in Python or Bash for automation.\nExperience with Git and CI-based change workflows.\nExperience handling PII and customer data under SOC 2, GDPR, or similar requirements.\nA habit of verifying: you confirm the result of a change rather than assuming it, and you write the runbook before it is needed.\nWillingness to participate in an on-call rotation.\nRemote, based in India.\nPreferred Qualifications\nExperience with Apache Iceberg, AWS Glue, Athena, or other open table formats on S3.\nExperience with Liquibase or Flyway specifically.\nExperience with MongoDB Atlas.\nExposure to Kafka or change data capture pipelines.\nFamiliarity with Kubernetes and Terraform (enough to read a plan and run database tooling in a cluster).\nExperience in identity, fraud prevention, or another regulated SaaS product.\nMongoDB or AWS database certifications.\nBenefits\nCutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.\nAccelerated Growth: Receive annual stipends for certifications and attend key conferences.\nOwnership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.\nFlexibility First: Unlimited PTO and fully remote 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