Senior Software Engineer, Integrations

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $125k - $180k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 2%

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TrueML

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

TrueML is a leading company in the fintech sector, known for its innovative solutions that prioritize customer experience in the financial services industry. The company, along with its family of companies like TrueAccord, focuses on developing intelligent, digital-first communication platforms and products that revolutionize the consumer experience in financial health management. TrueML leverages the expertise of a dynamic team of data scientists, financial services experts, and customer experience specialists to create technology that addresses roadblocks to consumers' financial well-being, ensuring inclusivity and accessibility in financial systems. Founded in 2013 by Ohad Samet, TrueML continues to disrupt traditional financial services by making them more consumer-friendly and effective.

📋 Description

• Own complex engineering tickets end-to-end from design through implementation, testing, and production • Write clean, well-tested, maintainable code and uphold quality standards in code review • Author and review Technical Design Documents and contribute to Architecture Decision Records • Lead technical discussions and document architectural trade-offs • Build and evolve the integration platform with SFTP, REST API, and S3 ingestion entry points • Develop Step Functions preprocessing for file transfer, PGP decryption, and validation • Build a compute-agnostic Transformation Engine running on Lambda and Glue • Publish events to downstream consumers and client webhooks • Develop low-code, config-driven client onboarding • Protect PANs and PII through tokenization, PGP key management and rotation, SFTP relays, and redaction in an isolated PCI environment • Map client file and API formats into the canonical OTDS schema and manage schema versioning and compatibility • Manage Terraform-based client provisioning and environments and CDK-based inherited services • Operate, improve, and migrate legacy Kubernetes-based file-processing platforms and dedicated client APIs • Create runbooks and alerts for under-documented inherited systems • Partner with Implementations, Solutions Engineering, and operations teams on client go-lives, dry runs, cutover, and hypercare • Use AI coding agents, maintain repository context and skill files, build and consume MCP servers, and codify reusable agent workflows • Design and build LLM-backed pipeline services, including prompt/context design, structured output, tool calling, validation loops, and model selection • Manage AI token budgets and costs • Own operational health, participate in on-call, and implement reliability and observability signals • Mentor junior engineers through code review, pairing, and feedback • Lead technical spikes and timeboxed discovery work • Collaborate with Data Services, Data Engineering, Data Science, Product, and cross-functional teams on data contracts and schema changes

🎯 Requirements

• Bachelor's degree in a related technical field, or equivalent practical experience • 5+ years of software or data engineering experience • Demonstrated ownership of production systems • Deep experience building data ingestion or integration systems, including file- and API-based pipelines, idempotency, retries, dead-letter handling, and reprocessing • Strong AWS fundamentals, especially Lambda, Step Functions, Glue, S3, EventBridge, Transfer Family, and IAM in a multi-account setup • Production-grade Go experience • Comfortable with Kubernetes and Terraform at production scale • Experience handling PII and ideally cardholder data in a regulated environment • Experience with encryption, tokenization, key management, and least-privilege access • PCI DSS exposure is a strong plus • Experience using LLM coding agents as a main way of working, especially Claude Code • Practical understanding of MCP; consuming MCP servers and ideally building one • Hands-on experience building on an LLM API such as Bedrock or Anthropic, including prompt and context engineering, structured output, tool calling, evaluation, and guardrails • Ability to reason about model tiers, token budgets, and costs • Ability to write clear technical design documents and explain technical trade-offs to non-engineers • Reliable internet connection and professional work environment • Ability to protect confidential company, employee, customer, and business information while working outside a company office

🏖️ Benefits

• Flexible vacation • Medical/dental/vision insurance • Traditional/Roth retirement savings options • Company-paid disability and life insurance • Flexible Spending Account & Limited FSA • Family-friendly parental leave • Volunteer and voting time off • On-demand wellness platform access for you and 5 friends and family • PerkSpot discount program for 900+ merchants nationwide • Remote-first work environment • Occasional local or international travel for company meetings, training, offsites, and collaborative projects

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