Jobs / Other locations / AT&T Services INC
Software Engineer - AI Integration & Data Platforms
AT&T Services INC · 🌍 Bratislava, Slovakia
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — AT&T Services INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for AT&T Services INC →
About the role
Overall Purpose: Design, develop, and maintain software solutions that enable AI-powered workflows, enterprise application integration, and secure automation. Build scalable APIs, Model Context Protocol (MCP) servers, Python-based services, and cloud-native components that connect business systems, data platforms, and AI agents. Partner with engineering, product, and business stakeholders to deliver reliable, secure, and maintainable solutions using modern DevOps practices, Azure DevOps, CI/CD pipelines, automated testing, and strong software engineering standards. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: • AI-Enabled Software Development: Design, build, and maintain software capabilities that support AI-enabled workflows, including MCP servers, agent-facing tools, and application integrations that allow enterprise systems and data sources to be accessed securely and consistently. • API and Service Development: Develop robust APIs, backend services, and integration layers using Python and modern service patterns, with emphasis on reliability, maintainability, authentication, observability, and clear interface design. • MCP Server and Tooling Implementation: Implement MCP tools and server-side capabilities that expose business functions, data access patterns, and automation workflows to AI agents while enforcing security, access controls, and responsible usage guardrails. • DevOps and CI/CD Automation: Build, enhance, and maintain CI/CD pipelines in Azure DevOps or similar platforms, supporting automated builds, testing, code quality checks, artifact management, deployments, and repeatable release processes. • Cloud-Native Engineering: Develop and deploy cloud-ready services using Azure-based patterns, containerized workloads, secure configuration management, logging, monitoring, and scalable runtime architectures. • Collaboration and Documentation: Partner with product owners, software engineers, data engineers, security teams, and business stakeholders to translate requirements into durable technical solutions. Document APIs, MCP tools, deployment patterns, runbooks, and engineering standards for long-term support and reuse. Job Contribution: Independently design, develop, and support AI-enabled software solutions, APIs, MCP servers, and cloud-native services using strong DevOps practices. Lead moderate-sized technical efforts, contribute to architecture decisions, improve engineering standards, and deliver secure, scalable solutions that accelerate automation, AI adoption, and business productivity. What You’ll Need (Required Skills): Hands-on experience with: • Python development for applications, services, automation, or integration work • Proficiency with general software engineering languages and practices, with the ability to work across modern programming stacks as needed • API development using modern backend frameworks and secure service design patterns • MCP server or AI tool development, including exposing structured tools, data access, or workflow automation to AI agents • Azure DevOps, Git-based development workflows, CI/CD pipelines, automated testing, and release automation • Strong understanding of software engineering fundamentals, including code quality, modular design, version control, security, logging, monitoring, and documentation best practices. • Experience collaborating across engineering, data, AI, security, and business teams to gather requirements and deliver reliable enterprise software solutions. Preferred Qualifications: • Experience with FastAPI, FastMCP, SQLAlchemy, containerized deployments, or cloud-hosted Python services • Familiarity with Azure services, managed identity, Key Vault, container platforms (Docker), privat