As a Forward Deployed Engineer, you will work directly with TRM's government customers. This includes bridging our SaaS offering with federated capabilities and cloud architectures from the initial setup and implementation to configuration and maintenance. A successful mission will enable TRM's government customers to securely leverage TRM in regulated industries and also scale with maturity. As an early member of the Forward Deployed Engineering team, you will be deeply involved in the technical details and ultimately champion your team to build a safer financial system for billions of people. The impact you'll have here: - Partner directly with mission-focused customers to design and deploy secure, scalable cloud-based data lakehouse solutions on AWS (e.g., S3, EMR/EKS, Iceberg or Delta Lake). - Own and deliver production-ready ETL/ELT pipelines using Python, Apache Airflow, Spark, and SQL-optimized for petabyte-scale workloads. - Containerize and deploy services on Kubernetes (EKS), using Terraform or CloudFormation for Infrastructure-as-Code and repeatable environments. - Design integrations that ingest data from message buses, APIs, and relational databases, embedding real-time analytics capabilities into client workflows. - Actively participate in all phases of the software development lifecycle: requirements gathering, architecture, implementation, testing, and secure deployment. - Implement observability solutions (e.g., Prometheus, Datadog, NewRelic) to uphold SLAs and drive continuous improvement. - Support mission-critical systems in production environments-resolving incidents alongside customer operations teams. What we're looking for: - Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field. - 4+ years of hands-on experience building and deploying data pipelines in Python. - Proven expertise with Apache Airflow (DAG development, scheduler tuning, custom operators). - Strong knowledge of Apache Spark (Spark SQL, DataFrames, performance tuning). - Deep SQL skills-able to optimize queries with window functions, CTEs, and large datasets. - Professional experience deploying cloud-native architectures on AWS, including services like S3, EMR, EKS, IAM, and Redshift. - Familiarity with secure cloud environments and experience implementing FedRAMP/FISMA controls. - Experience deploying applications and data workflows on Kubernetes, preferably EKS. - Infrastructure-as-Code proficiency with Terraform or CloudFormation. - Skilled in GitOps and CI/CD practices using Jenkins, GitLab CI, or similar tools. - Excellent verbal and written communication skills-able to interface confidently with both technical and non-technical stakeholders. - Willingness and ability to travel up to 25% to client sites as needed. - Active TS/SCI clearance required (Polygraph strongly preferred). About the Team: - The FDE team is made up of experienced professionals with direct customer knowledge and deep experience with technology, we leverage this to provide impactful outcomes and clear communication both internally and externally. - The FDE team aligns to the US-eastern timezone, both onsite and remotely. Wee communicate across numerous channels (highside chat, highside/lowside email, slack, phone calls, signal, google meets) and ensure we are able to rapidly switch between appropriate channels as necessary. - We have weekly team syncs as well as project check-ins, we keep project tracking tools up to date and directly communicate issues as they arise. - We always put the customer first - The FDE team is uniquely close among other teams at TRM to our customers and will develop close relationships with them. We do whatever it takes to ensure their mission success. Learn about TRM Speed in this position: - Rapid Issue Resolution: Forward Deployed Engineers identify and diagnose critical onsite issues, set up incident channels or virtual war rooms with the remote team, and implement fixes in mintues to hours. FDEs also conduct retros and shares lessons with both internal teams and customer stakeholders within 48 hours of resolution. - Navigating Bureaucratic Hurdles: Engineer anticipates and proactively addresses potential customer-side delays. They build relationships with customer stakeholders (COTR, Enterprise technical lead, etc.), identify procedural bottlenecks, and seek alternative pathways for approvals. This approach reduces wait times for critical decisions and keeps projects on track despite complex customer processes. - Efficient Knowledge Transfer: Conducts knowledge sharing sessions and maintains up-to-date documentation in Notion and issue tracking in Jira for the remote team. All milestone-impacting issues are flagged within 24 hours, reducing problem-solving time and ensuring remote team is always aware of any updates to the plans. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. The following represents the expected range of compensation for this role: - The estimated base salary range for this role is $200,000 - $260,000. - Additionally, this role may be eligible to participate in TRM's equity plan. - Please note - we factor in the different costs for geographies outside the United States.