{"id":161318,"url":"https://alion.io/job/synapse-analytics-forward-deployed-engineer-ii","title":"Forward Deployed Engineer II","company":{"id":57545,"name":"Synapse Analytics","domain":"synapse-analytics.io","url":"https://alion.io/company/synapse-analytics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":226,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":153000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":753},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Django","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-02-16T16:58:44Z","employer_posted_date":"2026-02-16","last_verified_at":"2026-10-17T00:48:39Z","board_verified":true,"closed_at":null,"days_open":242,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":241},"description":"As a Forward Deployed Engineer at Synapse Analytics, you will own the technical success of our product deployments inside banking and enterprise client environments. You will work directly with client IT, infrastructure, security, data, and business teams to design deployment architectures, build integrations, document APIs, create client-specific technical artifacts, and manage the lifecycle of deployed environments.\nThis role sits at the intersection of product engineering, delivery, infrastructure, and customer solutions. You will not only deploy Synapse products; you will engineer the bridge between Synapse’s AI products and the real-world systems used by banks and enterprise clients.\nResponsibilities\nOwn the technical implementation and lifecycle of Synapse products in client environments, especially banks, on-premise environments, and restricted or air-gapped infrastructure.\n\nDesign client-specific deployment architectures, including network topology, security requirements, integration points, data flow, API exposure, and operational ownership.\n\nCreate and maintain technical artifacts for client deployments, including:\nAPI documentation\n\narchitecture diagrams\n\nintegration guides\n\ndeployment runbooks\n\nenvironment handover documents\n\nupdate and rollback procedures\n\nBuild and maintain client-specific integration components where needed, including adapters, connectors, scripts, APIs, and workflow bridges between Synapse products and client systems.\n\nSupport integrations with enterprise banking infrastructure such as:\ncore banking systems\n\ninternal APIs\n\ndata warehouses\n\nKafka or other messaging systems\n\nOracle / SQL Server databases\n\nlegacy systems\n\nidentity and access systems\n\nLead deployment and orchestration of Synapse Analytics’ applications on client infrastructure using Docker, Kubernetes, Linux, and related tooling.\n\nManage updates, upgrades, patches, configuration changes, and rollout plans for client-specific environments after go-live.\n\nTroubleshoot complex client-side technical issues involving networking, firewalls, VPNs, proxies, load balancers, certificates, authentication, encryption, and restricted enterprise environments.\n\nWork closely with Product Engineering, DevOps, and Delivery teams to ensure Synapse Analytics’ products are deployable, supportable, secure, and well-integrated in client environments.\n\nIdentify repeated client-specific integration or deployment patterns and convert them into reusable product, platform, or delivery improvements.\n\nParticipate in technical discovery with Delivery teams to assess feasibility, implementation complexity, risks, and required client infrastructure before commitments are made.\n\nProvide technical guidance to junior engineers and help standardize deployment, integration, documentation, and support practices.\n\nParticipate in an on-call or escalation rotation for critical client-facing production environments, according to agreed support boundaries and SLAs.\n\nRequirements\n2-4 years of experience in forward deployed engineering, systems integration, solutions engineering, DevOps, backend engineering, or technical implementation for enterprise clients.\n\nStrong hands-on experience with Python and building or integrating APIs using frameworks such as FastAPI, Django, or similar.\n\nStrong experience deploying and operating applications using Kubernetes, and Linux in enterprise or restricted environments.\n\nExperience with on-premise, private cloud, air-gapped, or client-managed infrastructure.\n\nStrong understanding of networking concepts, including firewalls, VPNs, proxies, load balancers, DNS, TLS/SSL, and certificate management.\n\nExperience integrating with external enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, message queues, ERPs, CRMs, or internal banking systems.\n\nAbility to create clear technical documentation, including API docs, deployment guides, architecture diagrams, integration flows, and operational runbooks.\n\nStrong troubleshooting skills and ability to solve ambiguous technical problems under pressure in client environments.\n\nStrong communication skills and ability to work directly with client IT, security, infrastructure, data, and business teams.\n\nWillingness to visit client sites and lead technical workshops, deployment sessions, integration discussions, and production support 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