Job Responsibilities
- Serve as offshore lead for load testing and test tool operational support activities.
- Provide technical support for certification, regression, performance, and service validation activities utilizing AT&T-approved testing platforms.
- Ensure load generation, traffic simulation, performance testing, and automation platforms are available, configured, and operational to support testing demands.
- Perform troubleshooting, triage, and resolution of tool, environment, infrastructure, and platform issues impacting testing activities.
- Coordinate with testing teams, NF owners, project teams, vendors, lab operations, automation teams, and onshore counterparts to resolve support requests and operational issues.
- Support onboarding, enablement, and adoption of testing tools, automation platforms, and operational processes.
- Monitor tool health, platform performance, capacity utilization, and operational readiness across lab and production environments.
- Manage and prioritize support requests, incidents, defects, and enhancement activities to ensure timely resolution and service continuity.
- Support software upgrades, patching, deployment, maintenance, and lifecycle management of testing platforms and associated infrastructure.
- Ensure operational procedures, documentation, knowledge articles, and support processes remain current, accurate, and effective.
- Drive automation-first operational practices and identify opportunities to improve efficiency through automation and self-service capabilities.
- Provide status reporting, operational metrics, risk assessments, and escalation management to leadership and stakeholders.
- Support 24x7 operations through follow-the-sun coordination and structured handoffs across three global regions: US, Europe, and India.
- Partner with vendors and internal engineering teams to resolve complex technical issues and improve platform reliability, scalability, and performance.
- Support capacity planning, benchmarking, performance analysis, and continuous improvement initiatives for testing and simulation platforms.
Job Qualifications / Required Qualifications
- Experience leading or coordinating complex testing, operational support, or platform support activities.
- Strong understanding of automation-first testing and operational practices.
- Experience supporting load testing, performance testing, traffic generation, or testing tools.
- Ability to coordinate across multiple teams, vendors, and stakeholders.
- Proactive mindset with the ability to anticipate operational, project, and management needs.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to identify process improvement opportunities and implement effective solutions.
- Expertise in Jira for defect, project, and operational workflow management.
- Strong written and verbal communication skills.
- Expert knowledge of LTE, 5G NSA, and 5G SA architectures and end-to-end call flows.
- Expert knowledge of Voice, Messaging, VoLTE, VoWiFi, IR92, IR94, WPS, RTT, HTTP, N11, and related mobility services.
- Experience supporting certification, regression, service validation, or performance testing activities.
- Experience supporting lab and production environments.
Preferred Qualifications
- Experience with load generation and testing platforms such as LoadCore, Landslide, Spirent, CyPerf, RealUE, or similar solutions.
- Experience supporting a 24x7 operational support model.
- Experience working within onshore and offshore delivery organizations.
- Experience supporting software upgrades, patching, infrastructure lifecycle management, and operational readiness activities.
- Familiarity with Linux, virtualization, Kubernetes, cloud-native platforms, and telecom lab infrastructure.
- Experience with automation frameworks, AI-assisted operations, and performance analytics platforms
Additional Job Information
This is an offshore role that requires daily collaboration with U.S. stakeholders, including overlapping work hours to ensure effective partnership and meet business needs.
Weekly Hours:
40Time Type:
RegularLocation:
IND:KA:Bangalore / Epip Area, Hoodi Village, Whitefield Rd - Eqp: Plot 111/112, Epip Area, Hoodi Village, Whitefield RoadAT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
Skills Required
- Strong hands-on Python engineering experience building production APIs, backend services, and automation
- Applied machine learning experience delivering anomaly detection, prediction or forecasting, classification, clustering, or root-cause analysis solutions
- Experience working with large-scale operational and telemetry data, including logs, events, time-series KPIs, and traces
- Hands-on experience implementing generative AI workflows, including retrieval-augmented generation, retrieval strategies, embeddings, grounding, and response quality techniques
- Experience building agentic workflows involving multi-step reasoning, tool calling, orchestration, state management, and failure handling
- Telecommunications knowledge covering 4G EPC, 5G Core, IMS services, and end-to-end call flows
- Understanding of machine learning and large language model evaluation methods, including accuracy, false positives and negatives, robustness, latency, and cost
- Strong software engineering practices, including clean code, testing, version control, and complex-system troubleshooting
- Ability to communicate clearly and collaborate effectively with distributed onshore and offshore teams
- Hands-on experience with Claude Code and GitHub Copilot
- Practical familiarity with 4G/5G Core network functions, interfaces, and IMS signaling
- Experience with deep learning or neural networks for sequence, time-series, or representation learning
- Familiarity with multi-agent orchestration frameworks, agent routers, and tool registries
- Experience with vector databases, semantic search, reranking, hybrid retrieval, and caching
- Experience deploying machine learning or GenAI services on cloud or hybrid platforms using containers and orchestration
- Experience with MLOps, model and version management, monitoring, drift detection, ML CI/CD, and reproducible pipelines
AT&T Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AT&T and has not been reviewed or approved by AT&T.
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Healthcare Strength — Health coverage spans medical, dental, vision, and mental health services, plus a personal healthcare team, wellness apps, and supplemental options such as fertility care, cancer support, doula services, and wigs for chemotherapy. These comprehensive offerings are portrayed as supporting a wide range of employee needs.
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Leave & Time Off Breadth — Paid time off includes vacation, holidays, sick days, caregiver time, parental leave, and adoption assistance, with some roles reaching about 23 days of PTO after several years. Community volunteer days and flexible time off options add further support for work-life balance.
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Wellbeing & Lifestyle Benefits — Employees receive sizable service discounts like 50% off most wireless plans and broadband, along with savings on travel, event tickets, and insurance. Additional workplace perks such as hybrid work models and relocation assistance contribute to overall value.
AT&T Insights
What We Do
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