Jobs at Software Mind

Operate, monitor, and support GCP and Azure environments for managed-services clients. Troubleshoot incidents, manage compute, storage, networking, and security services, maintain IaC and CI/CD pipelines, and produce runbooks and documentation while collaborating with client teams.

Design and implement new features, create product architecture, conduct technical analysis and research, perform code reviews, support and mentor teammates. Work with distributed systems, message queues, CI/CD and TDD; maintain high automated test coverage and participate heavily in pair programming.

Lead front-end development using React, TypeScript, and Next.js while performing hands-on full-stack work. Mentor engineers, drive architecture and SDLC improvements, own projects, and optimize web performance and observability for a large-scale financial platform.

Design, develop, test, and operate cloud-based data integrations and ETL/ELT pipelines using IICS. Build reusable mappings, automate CI/CD deployments, monitor and troubleshoot production integrations, enforce data quality, document designs and runbooks, and collaborate with architects, data engineers, and business stakeholders for onboarding and governance.

Join our team to create and implement AI solutions, focusing on cloud applications and ETL processes while supporting entrepreneurs with the public cloud.

Design and maintain cloud infrastructure using Terraform across Azure and Cloudflare, manage PostgreSQL, configure message queues, build CI/CD with GitHub Actions, implement monitoring/observability, enforce infra security and RBAC, and troubleshoot infrastructure issues.

Join the Test Automation team to create and maintain a scalable automated test framework, ensuring automated tests' reliability and CI/CD integration.

The Lead Software Engineer will oversee software development, mentor junior developers, ensure high code quality, collaborate on API integrations, and improve processes in a cloud-based environment.

Lead hands-on development of a tenant-isolated RAG platform for real-estate title/settlement. Own Python/FastAPI backend, retrieval layers, vector store integrations, LLM provider integrations, confidence scoring, observability, and delivery cadence while mentoring and unblocking the LATAM engineering team.

Lead architecture, design, and governance for enterprise SharePoint Online and Microsoft 365 platforms. Deliver AI-driven knowledge management and search solutions using Copilot, Azure OpenAI, and RAG. Integrate SharePoint with Azure services, enable CI/CD and IaC, implement feature flags, support identity governance, and mentor teams while defining platform standards and governance.

Join a Scrum team building a greenfield, scalable screening platform. Develop responsive, accessible React UIs and NestJS microservices with PostgreSQL, ensure security (OWASP), write unit tests (Jest), estimate work, and take ownership of delivery quality and performance.

Partner with leaders to align HR strategies to business goals. Support performance management, employee relations, engagement, onboarding/offboarding, compliance, and HR analytics to drive retention and development.

The DevOps Engineer (Cloud) will design, implement, and maintain GCP Landing Zone components, manage infrastructure using Terraform, and ensure hybrid cloud connectivity while supporting security and compliance requirements for an insurance client.

The AI Engineer will design, build, and deploy AI solutions, focusing on LLM applications and automation while collaborating closely with clients to provide impactful AI-driven solutions.

The Corporate Data Architect will design and standardize organizational data architecture, working with business and technical teams for effective data usage and governance.

Design and develop scalable, production-grade Android applications using Kotlin, Coroutines, and Jetpack Compose. Build maintainable architectures (MVVM/Clean), integrate RESTful APIs and device interfaces, ensure security and data privacy, improve performance, contribute to CI/CD and automated testing, create reusable SDKs, and collaborate with Product, Design, and Backend teams while driving engineering best practices.

Lead end-to-end delivery governance for an AI-driven, tenant-isolated platform. Run two-week sprints and ceremonies, maintain RAID logs and risk registers, coordinate with client stakeholders, enforce scope and change control, prepare go/no-go decision packs, validate integration assumptions, and align team allocation to delivery risk and milestones.

Lead discovery and SME workshops to produce developer-ready requirements and accuracy rubrics for a tenant-isolated RAG AI assistant. Define data ingestion, PII and governance rules, translate expert-weighting into retrieval specifications, author INVEST user stories with acceptance criteria, maintain schema and traceability across Jira/Confluence, and guide accuracy validation and query clustering for tuning.

Design and implement a validation harness and automated test suites for a RAG-based retrieval AI assistant. Validate retrieval accuracy, citation correctness, confidence calibration, RBAC enforcement, audit logging, ingestion pipelines, and produce go/no-go accuracy reports with test evidence.

Develop and maintain Python/FastAPI backend and BFF services for a tenant-isolated RAG AI assistant. Implement SSO/Cognito, audit logging, retrieval orchestration, and integrations with AWS services. Write unit/integration tests, support QA, participate in code reviews, and uphold backend quality standards in an agile LATAM team.