Senior Forward Deployed Engineer

As a Senior Forward Deployed Engineer at Synapse Analytics you will own the technical success of complex and strategic product deployments across banking and enterprise clients. You will act as a senior technical counterpart to client infrastructure security architecture data and engineering teams designing deployment and integration architectures that allow Synapse products to operate successfully within highly controlled enterprise environments.

You will be responsible not only for implementing solutions but for making technical decisions identifying risks early driving complex integrations resolving critical production issues and turning lessons from client deployments into reusable improvements across Synapse products and delivery practices.

This role sits at the intersection of product engineering infrastructure systems architecture delivery and customer solutions.

• 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

  • operational ownership

• Make technical decisions and trade-offs required to adapt Synapse products to complex client environments while maintaining product supportability and security.

• Design and implement complex integrations between Synapse products and enterprise systems including:

  • core banking platforms

  • internal APIs

  • data warehouses and data lakes

  • Kafka and messaging platforms

  • Oracle and SQL Server

  • identity and access management systems

  • legacy enterprise applications

• Build reusable adapters connectors APIs automation deployment tooling and integration components where product capabilities do not directly satisfy client requirements.

• Lead deployment and orchestration of Synapse applications using Kubernetes Docker Linux and related infrastructure tooling.

• Define upgrade migration rollback patching configuration management and production rollout strategies for client environments.

• Lead investigation and resolution of 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 high-quality technical artifacts including:

  • solution architecture documents

  • API documentation

  • integration specifications

  • deployment runbooks

  • operational handover documents

  • network and data-flow diagrams

  • upgrade and rollback procedures

  • troubleshooting documentation

• Lead technical discovery during the pre-implementation and delivery phases identifying feasibility concerns infrastructure dependencies integration complexity security requirements and implementation risks before commitments are made.

• Work closely with Product Engineering and DevOps teams to improve product architecture deployment models observability configuration integration capabilities and operational supportability.

• Identify recurring patterns across clients and drive their conversion into reusable product capabilities deployment tooling reference architectures or engineering standards.

• Mentor FDE I and FDE II engineers and provide technical guidance during architecture design integrations deployments and incident resolution.

• Review technical designs and deployment plans produced by other engineers.

• Help 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.

• 47 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.

• Willingness to visit client sites and take ownership during critical deployment or production activities.

Experience working with banks regulated industries high-availability systems GPU infrastructure AI/ML platforms or enterprise security processes is a strong plus.