About Avaya
Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.
At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.
Research and Development
Software Engineering
Engineer reusable agentic systems that transform platform development and day-two operations. Extend core platform practices—Terraform, Kubernetes, GitOps and cloud APIs—with agent tools, evaluations and safe execution. Scale this capability across the engineering team through shared architecture, workflows and hands-on enablement; do not treat agents solely as production-operation assistants. Work with startup-like urgency and hands-on ownership while preserving security, compliance and reliability.

Create a coherent agentic platform engineering approach: shared tool interfaces, reusable skills/workflows, coding conventions, evaluation harnesses, telemetry and adoption patterns.
Develop agents and tools integrated with Terraform, Kubernetes, Argo CD/GitOps, cloud APIs, CI/CD, API gateways, Kafka, Redis, relational/document databases, observability and change-management systems.
Accelerate platform development with AI-supported module/chart creation, code review, infrastructure plan interpretation, test generation, dependency analysis and safe pull-request workflows.
Engineer day-two agents for health and drift detection, incident triage, correlated diagnostics, root-cause hypotheses, capacity analysis, upgrade readiness, runbook assistance and recovery verification.
Build agentic development workflows for Kafka, Redis, relational/document database deployment and scaling, schema/configuration checks, upgrade planning,



performance diagnosis, capacity assessments and secure API gateway changes.
Build controlled operational workflows progressing from read-only diagnosis to recommended actions, gated changes and policy-authorized execution where justified.
Implement evaluation of agent correctness, false positives, tool behavior, failure handling, security conformance and outcome quality before production rollout.
Embed compliance requirements into agent workflows: explainable decisions, traceable evidence, approved change paths, data minimization and continuous control validation for FedRAMP/PCI DSS/SOC 2 environments.
Coach engineers through pairing, playbooks, examples and metrics so agentic development becomes a team capability rather than one specialist’s project.
Lead adoption by embedding agentic development into real platform delivery in a fast-paced environment; pair with engineers, ship working patterns quickly and improve them through measurement and feedback.
Measure adoption and value through cycle time, manual toil removed, diagnostic lead time, quality, safe automation rate and reliability; Required experience

- 7+ years in software/platform engineering, DevOps or SRE with production Kubernetes, Terraform and GitOps depth.
- Strong Python or Go software engineering, API design, testing, integration and debugging skills.
- Hands-on building agentic workflows with LLM APIs, tool/function calling and orchestration; Working understanding of Azure/GCP/AWS, identity, Kubernetes APIs, Argo CD, CI/CD, observability and change processes.
- Practical knowledge of Kafka,



Redis, relational and document databases, API gateways and Kubernetes networking/security; ability to reason about scaling, deployment failures, observability and day-two recovery.
- Experience integrating with Prometheus/Grafana, Loki, Thanos, Alloy or comparable metrics, logging and telemetry backends to build reliable diagnostic workflows.
- Strong security judgment for privileged tools, least privilege, zero trust and data access in regulated enterprise environments.
- Proven comfort with startup-like pace, ambiguous requirements, rapid iterations and shipping measurable engineering outcomes rather than demonstrations.

MCP and agent-tool protocols, retrieval where helpful, event-driven systems, policy engines, sandboxed execution and human-in-the-loop workflows.
Experience with FedRAMP, PCI DSS, SOC 2 technical evidence requirements and auditable automation.
Cloud networking and platform services such as Istio, Keycloak, cert-manager, API gateways and DNS.
Built or operated agents for diagnosis, remediation, deployment safety or infrastructure change at scale.

Ship practical agentic workflows that improve Kafka, Redis, relational/document database/platform-service deployment, scaling, security validation and incident diagnosis using grounded observability signals.
Enable platform engineers to use shared tooling and repeatable practices; document uptake and quality metrics.
Experience
7 - 10 Years of Experience
Bachelor degree or equivalent experience
Federal Contractor. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively.

📌 Senior Software Development Engineer (Python) (Pune)
🏢 Avaya
📍 Pune