Jobs at Ontrac Solutions

Develop and maintain scalable React and TypeScript web applications, reusable UI components, and automated Cypress tests. Collaborate with product, design, and backend teams on features, API integrations, architecture, and technical roadmaps. Optimize performance, troubleshoot complex issues, participate in code reviews, mentor junior developers, and promote engineering best practices. Backend Java and Spring Boot experience, cloud platforms, containers, security, and Agile experience are preferred.

Build and operate AWS infrastructure, including EKS, networking, security, hybrid connectivity, and monitoring. Automate infrastructure and deployments with Terraform, GitLab CI/CD, shell scripting, and Python. Manage Kubernetes and Istio, observability with CloudWatch, Grafana, and OpenTelemetry, plus patching and vulnerability remediation. Support release engineering and monitoring workflows using Kibana, Dynatrace, and Apigee in an onsite Agile/Scrum environment.

Build and maintain Go-based backend services and APIs on AWS for agentic AI workflows, including metadata suggestions, automated ownership reassignment, system deprecation, and agent/MCP inventory. Design database schemas and queries in PostgreSQL and MongoDB, integrate asset discovery tooling, map dependencies and user journeys, and refactor legacy code safely. Deliver tested features through Agile/Scrum while collaborating with program and customer teams.

Lead end-to-end QA for an agentic AI platform: plan tests, write manual and automated E2E cases, run Playwright clusters, test LLM/agent behaviors, integrate tests into CI/CD, triage defects, and drive regression and release sign-off.

Lead design and productionization of enterprise-grade Generative AI for banking. Own GenAI architecture (RAG, agents, prompt orchestration), ensure scalability, security, observability, and compliance. Partner with business, product, risk, cyber, legal, and platform teams to deliver regulated use cases, mentor engineers, establish reusable patterns, and embed governance, privacy, and guardrails into AI solutions.

Lead product discovery and delivery by gathering stakeholder requirements, writing user stories and wireframes, managing the product backlog, planning sprints, facilitating reviews, defining integration requirements, and coordinating cross-functional teams to deliver enterprise-scale software solutions.

Lead application and platform modernization by deconstructing monoliths into container-based services on GCP. Drive Python and PHP development, implement OpenSSL secure communications, expand metrics and logging (Chronosphere/Prometheus/Grafana, Splunk), manage OS/package migrations, ensure testing discipline, mentor engineers, and collaborate cross-functionally to deliver features and troubleshoot distributed systems.

Design and deliver end-to-end customer-facing digital channel architectures (mobile, web, self-care, eCommerce). Translate business journeys into HLD/LLD and SDD, produce integration and deployment diagrams, ensure scalability, security and performance, and partner with development, vendors, QA and DevOps through implementation, SIT/UAT and go-live while aligning with enterprise standards.

Lead ERP vendor selection and full lifecycle implementations: define to-be processes, governance, master data standards, reporting/integrations, manage data migration, UAT, training, change management, go-live support, and continuous improvements.

Monitor security alerts across SIEM, EDR, Microsoft Defender and other platforms; perform first-level triage, validate incidents, document IoCs, escalate to SOC L2, support operational tasks (health checks, ticketing, shift handovers), and contribute to process improvements.

Implement automation and Infrastructure-as-Code to support migration of legacy systems to Amdocs. Build CI/CD pipelines, provision environments with Terraform/Ansible/Helm, containerize applications, implement monitoring/alerting, and automate compliance, scaling, and self-healing to ensure reliable, low-downtime migrations.

Design and scale mobile transactional experiences for a telecom/fintech group. Create user flows, wireframes, prototypes, and high-fidelity Figma UI. Conduct user testing, analyze insights, contribute to design systems, and collaborate with product and engineering to deliver implementation-ready, scalable mobile interfaces while integrating AI-enhanced workflows.

Analyze mobile and web user journeys to identify friction, feature adoption, and performance issues. Build custom SQL analyses, create dashboards and visualizations, monitor telemetry to detect problems, and translate insights into executive-ready recommendations that influence product roadmaps and improve user experience.

Build, manage, and optimize production GCP infrastructure (Compute, VPC, IAM, storage, GKE). Execute cloud migrations, implement Terraform IaC, troubleshoot performance and costs, automate with CI/CD and scripts, and collaborate with engineering and client stakeholders to deliver scalable, secure cloud environments.

Lead end-to-end AI/ML projects from concept to production, define roadmaps and success metrics, manage and mentor cross-functional teams, engage C-level stakeholders to ensure adoption and ROI, ensure governance and data security compliance, and monitor market trends to improve solutions.

Design, develop, and deploy RESTful and SOAP API integrations using Talend. Integrate with core banking, KYC/AML, payment gateways and wallets. Implement API security, transform data with Talend components, ensure logging, monitoring, exception handling, and support QA/production deployments while collaborating with business and engineering teams.

Design and implement MongoDB architecture and installations; configure monitoring; create L2 operational manuals with vendors; join escalated incident resolution calls; define and roll out ModOps and operational procedures for NOC teams to ensure high-availability across a multi-country environment.

Design, scale, and maintain enterprise observability and alerting across multi-cloud and hybrid systems. Build observability stacks (Prometheus, Grafana, GCP observability), automate infrastructure with Terraform/Ansible, integrate CI/CD for containerized workloads on Kubernetes/GKE/OpenShift, optimize Linux systems, and implement SRE practices (SLIs/SLOs/Error Budgets).

Lead BigPanda platform architecture and administration, design GCP telemetry ingestion pipelines, own observability lifecycle (ingest, normalize, dedupe, correlate, enrich), integrate monitoring tools and ITSM, apply AIOps to reduce alert noise and MTTR, and train/mentor engineering teams.

Build and maintain automation tooling converting SOPs into automation routines for cloud-managed Windows and Linux platforms. Manage large-scale server fleets, databases, networking, CI/CD, containers, and provide level-3 support and runbooks while participating in on-call rotations.