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.
Responsibilities
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.
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.
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.