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.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at https://www.avaya.com

Job Information

Job Code: 00194006

Job Family: Research and Development

Job Function: Software Engineering

About The Opportunity

Design, code, secure and evolve cloud-native platforms across Azure, GCP, AWS and hybrid environments. Build platform capabilities with Terraform, Kubernetes, Git Ops and software engineering—and actively advance agentic platform development, from AI-assisted design and code creation to reusable agents and tool-integrated engineering workflows. Security, compliance and operational rigor are integral to delivery. Thrive in a fast-paced, startup-like engineering environment with rapid delivery, high ownership, hands-on problem solving and disciplined production quality.

What you will build

- Design and implement reusable Terraform modules, cloud landing-zone components, provisioning and lifecycle workflows across Azure, GCP and AWS; engineer resilient multi-region and dedicated-instance patterns.

- Build and maintain production Kubernetes foundations: clusters, node pools, networking, autoscaling, storage, workload identity, capacity, upgrades and recovery.

- Develop Git Ops delivery platforms using Argo CD, Helm, Git Hub Actions and automated validation, promotion, rollback and drift detection.

- Own platform services and their integration: Istio/service mesh, Keycloak/OIDC, cert-manager/PKI, API gateways, ingress/egress, DNS, secrets management and cloud-native networking.

- Engineer private networking, routing, firewall policy, WAF, VPN/private interconnect, TLS/mTLS, segmentation, load balancing and end-to-end connectivity troubleshooting.

- Codify zero-trust and least-privilege controls across identities, workloads, environments, networks, secrets, administrative access and service-to-service communication.

- Design and automate technical safeguards, traceable changes, evidence capture, continuous monitoring, vulnerability response and environment separation supporting FedRAMP, PCI DSS and SOC 2 requirements.



Partner with GRC/Security to map implementations to applicable control obligations; do not equate platform features with certification or authorization.

- Engineer the observability stack end to end using Prometheus, Grafana, Loki, Thanos, Grafana Alloy and Open Telemetry: metrics collection, long-term retention, centralized logs, alerting, dashboards, telemetry pipelines, capacity signals and incident diagnostics.

- Deploy, scale, tune, secure and troubleshoot stateful platform components—including Kafka, Redis, relational databases (e.g., PostgreSQL, MariaDB) and document databases (e.g., MongoDB)—covering operators, persistence, replication, backup/restore, upgrades, availability, throughput and recovery.

- Own secure API gateway and ingress architecture: authentication and authorization, TLS termination, rate limiting, routing, API lifecycle integration, firewall/WAF policy, and service-mesh connectivity.

- Develop platform tooling in Python, Go or Bash; eliminate recurring operational toil with durable engineering fixes and self-service capabilities.

- Develop and integrate agentic platform-development capabilities—not just production-operations agents—including AI-assisted Terraform/module and Helm/chart authoring, platform API and controller development, architecture analysis, code review, test generation, infrastructure-plan validation, secure change proposals, developer-facing tools, and reusable agent workflows integrated with Git Ops/CI/CD.

- Use and extend agentic development workflows across the full engineering lifecycle—architecture exploration, Terraform/Helm authoring, code reviews, automated tests, environment validation, pull requests and release readiness—not only production diagnosis and remediation.

About The Requirements Required experience

- 8+ years in software, cloud, Dev Ops/SRE or platform engineering, with substantial hands-on design and implementation.

- Advanced Terraform and Kubernetes skills; production experience with Argo CD, Git Ops, Helm and CI/CD.

- Deep experience with Azure plus GCP or AWS; ability to transfer architecture patterns across cloud providers.

- Strong Linux, networking, DNS, TLS, PKI, routing, firewall, IAM/RBAC and distributed-system troubleshooting.

- Hands-on with several platform components such as Istio, Keycloak, cert-manager,



API gateways and secrets management, with ability to learn the others.

- Practical deployment, scaling, hardening and operational troubleshooting of Kafka, Redis and relational/document databases in Kubernetes or managed cloud services; experience with API gateways and secure API exposure.

- Hands-on experience with Prometheus, Grafana, Loki, Thanos, Grafana Alloy or equivalent metrics/logging pipelines, including cardinality, retention, alert quality and production troubleshooting.

- Demonstrated experience implementing security controls in regulated environments and supporting FedRAMP, PCI DSS, SOC 2 or comparably rigorous programs.

- Coding ability in Python, Go or equivalent; evidence of shipping automation and reusable engineering components.

- Ability to reason from application behavior through cluster, identity, certificate, network and cloud dependencies.

- Demonstrated ownership in a fast-paced, startup-like environment: rapid iteration, shifting priorities, independently driving work to production and balancing speed with security and reliability.

Preferred

- Multi-tenant or customer-dedicated SaaS, hybrid/air-gapped architectures, Kubernetes operators/CRDs, cloud cost management.

- Compliance-as-code, automated audit evidence, policy engines, vulnerability scanning and supply-chain security.

- Hands-on experience building or extending agentic development workflows, agent tool integrations or shared engineering capabilities for infrastructure and Kubernetes—not only using AI coding assistants.

Success in the first 6–12 months

- Deliver reusable cloud/Kubernetes capabilities that reduce custom environment work and deployment variability.

- Remove material gaps in security posture and make evidence collection and drift detection more repeatable.

- Improve deployment safety, platform upgradeability and production diagnostics with measurable outcomes.

- Build or substantially improve deployment, resilience, scaling and observability for Kafka, Redis, relational and document databases and gateway services; reduce operational bottlenecks.

- Build and share agentic platform-development workflows that help engineers design, implement, test and evolve secure infrastructure faster, with measurable quality and review controls.

Leveling | Senior: independently owns significant subsystems and implementations. Principal: sets cross-platform architecture and standards, resolves cross-domain design decisions and mentors multiple teams.

Experience 12+ Years of ExperienceEducation Bachelor degree or equivalent experience Advance Degree preferredPreferred Certifications

📌 Software Senior Engineer (India)
🏢 Avaya
📍 India