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Automation Anywhere is seeking a Staff Software Engineer in Bangalore, India. You will lead end-to-end technical ownership of major features, architect scalable cloud-native services, and mentor engineers.
You will collaborate across product, design, data science, and engineering to translate business requirements into robust technical solutions. You will drive AI-assisted development, help shape architectural decisions, and proactively address technical debt while maintaining high reliability
Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
Department: Engineering | Location: Bangalore, India | Level: E4 / Staff
We are looking for a Staff Software Engineer — an engineering leader who combines deep technical expertise with the ability to drive meaningful outcomes across team boundaries. You operate as a force multiplier: you elevate the engineers around you, close the gap between product vision and technical reality, and deliver systems that are built to last. You'll be equally comfortable writing production code and leading architectural discussions. You'll move fast, adapt quickly, and thrive in an environment where problems are complex, timelines are real, and impact is immediate.
10+ years of software engineering experience, with at least 2 years in a staff-level role or functioning at that scope. Deep expertise in at least one technical area: backend systems, platform engineering, cloud infrastructure, data engineering, or AI/ML integration. A proven history of designing and shipping complex software systems end-to-end — not just features, but systems that other teams depend on. Strong debugging and troubleshooting skills; you can root-cause a hard production problem under pressure.
Solid across the full modern software stack: microservices, APIs, relational and non-relational databases, event streaming, cloud platforms, and container orchestration. Proficient in at least one backend language (Java, Go, Python, Node.js, or similar); experience with polyglot environments is a plus. Hands‑on with Kubernetes, Helm, Terraform, and modern CI/CD (GitHub Actions, ArgoCD, or equivalent). Working knowledge of observability practices — distributed tracing, structured logging, SLO/SLA-based alerting (Datadog, OpenTelemetry, Prometheus). Exposure to AI/ML ecosystems: REST APIs for LLMs, prompt engineering, vector search, or embedding pipelines.
Actively uses AI‑powered developer tools (Copilot, Claude Code, or similar) as part of daily development — not occasionally, but habitually. Can articulate when AI‑generated code should be trusted, reviewed carefully, or discarded entirely. Interest in building AI‑native product features: integrating LLM APIs, building agent‑backed workflows, or wiring AI into user‑facing products.
Bias for action: you get to working solutions quickly, iterate, and improve rather than waiting for perfect requirements.
You've worked across engineering, product, design, data, and ops to ship things that matter.
You can scope undefined problems, propose solutions, and drive alignment without a fully defined spec.
You can explain a complex system to both engineers and non‑engineers.
Experience in the automation, workflow, or enterprise software space. Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen) or multi‑agent system design. Experience building developer‑facing platforms, SDKs, or internal tooling. Open‑source contributions or public technical writing.
Automation Anywhere is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.