Senior Forward Deployed Engineer

Job not on LinkedIn

🔥 8 minutes ago

🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 15%

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Synapse Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 $2M Seed Round on 2022-06

Consulting • Marketing • Artificial Intelligence

Synapse Analytics is a data science, machine learning, and artificial intelligence company that offers both services and products designed to help organizations better use and monetize their data. Their products are aimed at business leaders, IT professionals, and data scientists, enabling them to manage data workflows and monitor algorithmic performance through descriptive, predictive, and prescriptive analytics. The company focuses on creating a digital transformation roadmap for organizations to fully embrace AI, with a mission to democratize artificial intelligence across the region.

📋 Description

• Own complex end-to-end technical implementations of Synapse products across banking, on-premise, private cloud, restricted, and air-gapped environments • Lead technical architecture discussions with client infrastructure, networking, security, architecture, data, and engineering teams • Design deployment architectures covering network topology, security boundaries, authentication and authorization, application infrastructure, data flows, API exposure, integration patterns, observability, high availability, disaster recovery, and operational ownership • Make technical decisions and trade-offs to adapt Synapse products to complex client environments while maintaining product supportability and security • Design and implement integrations with core banking platforms, internal APIs, data warehouses and data lakes, Kafka and messaging platforms, Oracle and SQL Server, identity and access management systems, and legacy enterprise applications • Build reusable adapters, connectors, APIs, automation, deployment tooling, and integration components • Lead deployment and orchestration using Kubernetes, Docker, Linux, and related infrastructure tooling • Define upgrade, migration, rollback, patching, configuration management, and production rollout strategies • Investigate and resolve complex production issues involving networking, firewalls, VPNs, proxies, load balancers, DNS, certificates, authentication, encryption, Kubernetes, application infrastructure, and client integrations • Act as a senior technical escalation point for production incidents and high-priority client issues • Produce and review solution architecture documents, API documentation, integration specifications, deployment runbooks, operational handover documents, network and data-flow diagrams, upgrade and rollback procedures, and troubleshooting documentation • Lead technical discovery during pre-implementation and delivery phases, identifying feasibility concerns, infrastructure dependencies, integration complexity, security requirements, and implementation risks • Collaborate with Product Engineering and DevOps teams to improve product architecture, deployment models, observability, configuration, integration capabilities, and operational supportability • Identify recurring client patterns and convert them into reusable product capabilities, deployment tooling, reference architectures, or engineering standards • Mentor FDE I and FDE II engineers and provide technical guidance • Review technical designs and deployment plans produced by other engineers • Establish standards and best practices for deployment architecture, integration development, documentation, production readiness, and client handover • Participate in and help coordinate on-call or escalation coverage for critical client production environments according to agreed SLAs

🎯 Requirements

• 4–7+ years of experience in forward deployed engineering, systems integration, solutions engineering, DevOps, backend engineering, infrastructure engineering, or enterprise technical implementation • Strong hands-on software engineering experience with Python and API development using FastAPI, Django, Flask, or similar frameworks • Strong hands-on experience deploying and operating production applications using Kubernetes, Docker, and Linux • Significant experience with on-premise, private cloud, air-gapped, or highly restricted enterprise environments • Strong understanding of enterprise networking, including firewalls, VPNs, proxies, routing, load balancers, DNS, TLS/SSL, certificates, and network troubleshooting • Strong experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, Kafka, message queues, identity providers, ERPs, CRMs, or internal banking platforms • Experience designing deployment and integration architectures rather than only implementing predefined architectures • Strong understanding of authentication and authorization patterns such as OAuth2, OIDC, SAML, LDAP/Active Directory, API keys, JWTs, and service-to-service authentication • Experience troubleshooting distributed systems and production environments across application, infrastructure, network, database, and integration layers • Ability to communicate complex technical decisions clearly to client engineering, infrastructure, architecture, security, and management stakeholders • Ability to create and review high-quality architecture documentation, API specifications, integration designs, deployment guides, and operational runbooks • Strong technical judgment and ability to make pragmatic decisions in ambiguous client environments • Experience mentoring engineers and reviewing technical designs • Comfortable leading client workshops, architecture sessions, production deployments, and technical escalations • Experience working with banks, regulated industries, high-availability systems, GPU infrastructure, AI/ML platforms, or enterprise security processes is a strong plus

🏖️ Benefits

• Willingness to visit client sites and take ownership during critical deployment or production activities • Participation in on-call or escalation coverage for critical client production environments according to agreed SLAs