Engineering Lead - workflow Orchestration
at Tech AI startup in Bangalore
We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.
Key Responsibilities
1. Architect & Build the Swarm Runtime
- Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
- Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
- Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.
2. Develop the Workflow Composition Layer
- Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
- Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.
3. Orchestration Logic & Runtime Intelligence
- Implement orchestration logic that coordinates:
- Validation layers
- Model calls (LLMs, embedding engines, external APIs)
- Human-in-the-loop approval gates
- Stateful transitions and checkpointing
- Ensure deterministic execution, traceability, and safe rollback mechanisms.
4. Workflow Certification & Automated Testing
- Define certification standards for every workflow type, including:
- Functional correctness
- Latency and concurrency thresholds
- Error-handling expectations
- Observability and trace coverage
- Build automated regression test suites validating workflow integrity before deployment.
5. Engineering Leadership & Delivery
- Lead, mentor, and grow a team of backend and systems engineers.
- Drive sprint planning, reviews, engineering discipline, and roadmap execution.
- Own runtime delivery deadlines, cross-team coordination, and release quality.
6. Observability, Reliability & Production Excellence
- Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
- Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
- Improve runtime stability, throughput, and scale characteristics.
Requirements
Must-Have
- 8+ years of backend engineering experience building high-scale systems.
- 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
- Deep understanding of:
- Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
- Message queues, pub/sub systems, and event-driven patterns
- Retry logic, compensating transactions, and idempotent operations
- Distributed tracing, observability pipelines, and health checks
- Strong background in concurrent programming, async task management, and execution models.
- Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).
Nice-to-Have
- Experience building workflow DSLs or schema-driven interpreters.
- Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
- Knowledge of Kubernetes-based runtime environments and workflow controllers.
- Experience with pluggable architecture design, sandboxing, or execution policies.
What This Role Offers
- Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
- A high-impact leadership position shaping architectural strategy and engineering culture.
- The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.
Shubham Vishwakarma
Full Stack Developer - Averlon
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