• Support the analysis, conversion, and modernization of complex legacy mainframe systems into a modern Java environment • Work closely with technical and functional stakeholders to translate business logic from COBOL into Java/Spring Batch • Ensure functional equivalence, improved performance, and alignment with modern development standards • Contribute to a multi-phase effort to modernize critical financial systems and reduce technical debt

• Design, implement, test, and maintain software components using C, C++, and C# in a Windows environment. • Participate in the evolution of the product architecture, incorporating mainstream design patterns and technologies. • Collaborate with cross-functional teams (QA, UX, product management, DevOps) to deliver high-quality features on schedule. • Support full-stack development across database, server, and web components as needed. • Contribute to Agile ceremonies and use tools like Jira, Azure DevOps, or equivalent. • Use Git/GitHub or similar tools for source control, branching strategies, and code reviews. • Write clean, maintainable code and support continuous integration and delivery processes.

• NoSQL Database Engineering, part of Hosting Engineering department involves engineering new versions of NoSQL Databases, evaluate security patches, provide L3 support, technology management, GRC etc. • Infrastructure as Code (IaC): Design and maintain production-grade infrastructure using Terraform . Ensure all cloud resources are version-controlled and deployed via automated pipelines. • Observability & Reliability: Set up comprehensive monitoring, logging, and alerting using the Dynatrace. Define and track SLIs, SLOs, and Error Budgets. • Developer Enablement: Build internal tooling and documentation to help application developers self-serve their infrastructure needs while maintaining compliance and governance. • Cost Optimization: Monitor cloud consumption and implement cost-saving strategies such as Committed Use Discounts (CUDs) and rightsizing of compute resources. • Data Security & Protection: Enforce security best practices using IAM roles, Workload Identity, and Organization Policy Service and ensure RTO & RPO requirements are met. • Implement secure authentication between the AI Client (e.g., an agentic loop) and the MCP Server. Use GCP IAM Workload Identity and OAuth2 to ensure agents operate within strict permission boundaries. • Implement end-to-end tracing to monitor the flow from the AI Agent → MCP Server → GCP Data Source. • Experience with architecting and engineering of High Availability and Disaster Recovery solutions for NoSQL Databases • Inter-personnel skills working with other team members in same and across organization • Writing and assisting developers with Terraform, Blueprints, and APIs • Create and maintain CI/CD Pipelines • Deliver Database features to customers through Github Repo Enhancements • Strong understanding of SRE principles, including the implementation and management of SLOs and Error Budget • Expertise in developing observability dashboards to visualize app-to-database dependencies, enabling side-by-side health monitoring and accelerated incident resolution. • Integrate GCP database logs with Dynatrace to centralize observability, configure DQL-based anomaly detection and provide deep-dive analysis for cloud-native workloads. • Designing and implementing non-relational database solutions on GCP, including choosing appropriate services like . Mongo, Firestore, Bigtable, Memorystore, or Neo4j • Managing and maintaining database infrastructure, including provisioning, configuration, and Optimizing database performance through query tuning, indexing, and capacity planning. • Migrating existing on-premises databases to Google Cloud Platform, ensuring data integrity and minimal downtime. • Developing and maintaining logical and physical data models for non-relational databases. • Implementing and maintaining security best practices for database systems on GCP, including access controls and encryption, Peach dashboard, and Cycode. • Monitoring database performance, identifying and resolving issues, and providing support for database-related problems using Dynatrace, Query Insights, and System insights. • Writing, code reviewing, deploying Terraform code and maintaining service module repositories. • Designing and maintaining Miro board diagrams/workflow for several ongoing projects.

Role Description The engineering world has fundamentally changed. The engineers thriving right now are the ones who recognized that shift early and leaned into it. That is the standard we hold ourselves to and it is the standard we are hiring for. We are not just a company that talks about AI. We are actively building toward a fully AI-integrated operation and this seat is at the center of that. You will not be watching this transformation happen from the sidelines. You will be one of the people building it. This role comes with unlimited token usage, dedicated company budget for AI tooling and continuous learning, and the expectation that you will be leading how we build, not following a playbook someone else wrote. Our stack is Ruby on Rails, PostgreSQL, and React. You will ship features that directly impact revenue and customer experience, own integrations with payment processors, data providers, and mailing APIs, and contribute to the technical foundation of a platform that is actively expanding. This is not a meeting-heavy role. You will be writing code, reviewing code, solving real problems, and seeing your work go live. If you need the structure of a large company this is not your spot. If you thrive when given real ownership, real problems, and the trust to figure things out, you will fit right in. Qualifications - 3+ years of professional experience building production applications in Ruby on Rails. - Strong product mindset, you do not need a PM to tell you what good looks like. - Solid understanding of PostgreSQL and MongoDB. - Experience with RESTful API design and third-party integrations. - Comfort with front-end technologies including JavaScript and React. - Ability to take a feature from concept to production with minimal back and forth. - Strong communication skills with both technical and non-technical stakeholders. - Experience with CI/CD pipelines, automated testing, and deployment workflows. - AI-enabled development practices are a non-negotiable part of how we work. Requirements - Building and shipping new features on our Ruby on Rails platform. - Maintaining and improving existing codebase performance, reliability, and code quality. - Collaborating with product to translate requirements into technical solutions. - Working on integrations with third-party services including payment processors, data providers, and mailing APIs. - Contributing to architecture discussions and code reviews. - Writing tests, documentation, and owning production stability. Benefits - Unlimited token usage. - Dedicated company budget for AI tooling and continuous learning. Bonus Points - Experience in SaaS, MarTech, direct mail, or print industries. - Salesforce integration experience. - Familiarity with Stripe, Shopify, Twilio, HubSpot, or similar APIs. - Experience with data vendors like Atom Data or Data Axle. - Background in design management systems, templated design tools, or creative automation platforms. How to Apply Submit your resume and a link to your GitHub, LinkedIn and your portfolio. We also require one of the following: a short video or a written explanation of an AI project or side project you have worked on in the last 90 days. It does not have to be polished. We want to hear what you built, how you approached it, and what you learned. This tells us more about you than anything else you could submit. We are genuinely excited to hear what you are working on right now. If you are not actively building or learning something outside of your day job at this moment, this is probably not the right fit. Applications without this will not be considered.