Engineering Lead - workflow Orchestration

Tech AI startup in Bangalore is hiring Engineering Lead - workflow Orchestration job (Remote only) | Cutshort

Engineering Lead - workflow Orchestration
Tech AI startup in Bangalore
Engineering Lead - workflow Orchestration

at Tech AI startup in Bangalore
Agency job
7
\- 10 yrs
₹15L - ₹25L / yr
Remote only
Skills
JSON
yaml
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.
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