Job Duties and Responsibilities:

• Build and maintain support automation services and integrations (e.g., Slack → Jira intake, enrichment, routing, lifecycle sync).
• Implement agentic workflows to automate triage, context collection, summarization, and next-step recommendations using tool-calling/orchestration frameworks.
• Deliver production-grade systems: APIs, event-driven processing, retries/idempotency, rate limiting, and strong error handling.
• Add and maintain observability for automation health (logs/metrics/dashboards/alerts) and improve reliability over time.
• Communicate clearly with users and partner teams via docs, demos, and concise status updates; iterate quickly based on feedback.
• Design, Develop and support GitOps-based Kubernetes-native provisioning platform, CI/CD, and workflows solution that provides developers with flexible deployment capabilities.
• Architect and implement large-scale observability and tooling platforms like Splunk, Prometheus, GitHub, Jenkins, Artifactory, assisting clients and improving environment performance and stability
• Administer, manage and maintain all Jenkins instances in multi-substrate cloud and on-premise environments.
• Develop AI tools, build LLM models and MCP servers to improve developer experience and developer velocity across all organizations.
• Design and apply Machine learning techniques to automate troubleshooting and issue resolution for all developer tools.
• Define service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality.
• Collaborate with SRE and Engineering/Product teams in driving critical initiatives.
• Ensure the highest level of up-time and Quality of Service (QoS) to Adobe’s customers through operational excellence.

Experience/Knowledge Required:

• Strong hands-on coding in Java, Python, or Go; experience shipping production services/integrations.
• Strong API development experience (designing and building REST/gRPC services, versioning, authn/authz, documentation, and backwards compatibility).
• Good understanding of system architecture (service boundaries, data flows, scalability, resilience, and operational tradeoffs).
• Experience (or strong practical interest) in agentic tools/frameworks (LangGraph, Langchain, orchestration, RAG patterns, evaluation/guardrails) and ability to apply them pragmatically.
• Solid engineering fundamentals: distributed systems basics, debugging, operational readiness, and building maintainable code.
• Strong communication skills—able to explain technical concepts, write clear docs, and collaborate across teams.
• Proactive, go-getter mindset—takes ownership, drives tasks to completion, and continuously improves processes.

Technologies involved:

Java/J2EE (Java 17), GoLang, Python, REST API, gRPC, authn/authz, Agentic AI, LangGraph, Langchain, orchestration, RAG patterns, evaluation/guardrails, Anthropic Claude, Cursor, Generative AI (GPT-4, Azure OpenAI, Ollama, Anthropic Claude), VectorDatabases (OpenSearch, Pinecone), Microservices, AWS (EKS, Lambda, SageMaker), Docker/Kubernetes, Swagger/OpenAPI 3.x, BDD, Redis, New Relic, Splunk.