
11 - 50 employees
Founded 2010
🤖 Artificial Intelligence
💼 Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.
🔥 20 hours ago
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11 - 50 employees
Founded 2010
🤖 Artificial Intelligence
💼 Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.
• Own the backend architecture, including service boundaries, data model, event contracts, and integration layer design • Design and implement Java 21 / Spring Boot microservices on Cloud Run for licensing, case management, payments, documents, and notifications • Implement PostgreSQL (AlloyDB) persistence, including row-level data isolation and search indexing • Build asynchronous event flows on Pub/Sub and Eventarc • Implement scheduled and timer-driven processing with Cloud Tasks and Cloud Scheduler • Author Cloud Workflows orchestrations for multi-service pipelines • Direct integrations with external state and federal systems over REST, SOAP, SFTP, and webhooks • Oversee payment flows, including hosted payment page integration and settlement reconciliation • Own platform security and compliance outcomes for encryption and data isolation • Set and enforce test coverage, code review, and CI/CD standards across the backend team • Break down backend scope, sequence work, and report delivery status to the client technical lead and customer stakeholders • Mentor engineers and support technical onboarding of new contractors • Collaborate with the client technical lead, mobile and frontend engineers, and customer stakeholders from initial definition through final delivery
• 10+ years of professional backend engineering experience with Java and Spring Boot • Demonstrated technical leadership of a backend team or workstream, including setting architecture, reviewing code, mentoring engineers, and contributing production code • Production delivery experience on Google Cloud Platform, with ownership of a system through design, launch, and operation • Bachelor's degree in Computer Science or equivalent practical experience • Java 21 and Spring Boot 3.x microservice development • Service and API design across a multi-service platform, including contract and versioning strategy • PostgreSQL, including schema design, indexing, and versioned migrations • GCP serverless services: Cloud Run, Pub/Sub, Cloud Tasks, Cloud Workflows, Cloud Scheduler • Event-driven architecture and messaging patterns, including idempotency, retries, and dead-letter handling • External system integration over REST, SOAP, SFTP, and webhooks • API security with OAuth 2.0 / OIDC and JWT • Automated testing, including JUnit and integration tests; CI/CD and applicable quality standards • Working directly with non-engineering stakeholders to turn requirements into a delivery plan • Workflow engines such as Flowable and BPMN, and business rules engines • AlloyDB and BigQuery • Payment processing integrations • Experience in government or regulated environments, including FIPS, CJIS, or HIPAA • Google Cloud Professional certifications • Prior experience leading a distributed or contractor engineering team
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