Software Engineer

EngRadar; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Cognite in Bengaluru is seeking a Software Engineer to own and operate the core serverless execution engine and workflows orchestration layer for industrial AI platforms. You will contribute across JVM (Kotlin preferred, Java acceptable) and Python (FastAPI), work with Kubernetes and multiple cloud providers (Azure, GCP, AWS), and focus on reliability, observability, and scalable design.

You’ll collaborate with frontend and ML teams, implement CI/CD pipelines, optimize performance, and ensure

Qualifications

• Must have proven backend experience with production services at scale.
• Strong hands-on with JVM languages (Kotlin preferred, Java acceptable) and Python (FastAPI).
• Deep knowledge of distributed systems and cloud-native design across Kubernetes and major clouds.

Responsibilities

• Own uptime, latency and incident response for core platform services.
• Design, build, and operate serverless execution engine and workflows orchestration.
• Implement API-first, REST and event-driven interfaces for internal and external use.
• Instrument services with tracing, logging, and alerting; ensure observability.
• Champion CI/CD and testing; maintain production deployment pipelines.
• Profile and optimize performance and cross-service call chains.
• Model cost-efficient compute and storage usage without sacrificing reliability.

Skills

Kotlin

Java

Python

FastAPI

Kubernetes

Azure

GCP

AWS

Conductor

Apache Airflow

Kafka

Pub/Sub

PostgreSQL

Redis

OpenTelemetry

Prometheus

Grafana

React

TypeScript

Tools

Conductor

Apache Airflow

Kafka

PostgreSQL

Redis

OpenTelemetry

Prometheus

Job description

Software Engineer

India (Bengaluru)

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that accelerate digital transformation for global industry.

How you’ll demonstrate Ownership

• Platform Ownership: Design, build, and operate the core serverless execution engine and Workflows orchestration layer that serve as foundational primitives for CDF’s AI and automation capabilities.
• Reliability Engineering: Own uptime, latency SLOs, and incident response for platform services ensuring Functions execute deterministically and Workflows progress without data loss or silent failures.
• Scalability: Architect for multi‑tenant & multi‑cloud, high‑throughput workloads. Design scheduling, queueing, and retry mechanisms that degrade gracefully under pressure.
• API Design: Define and evolve clean API‑first architecture, versioned REST and event‑driven APIs that downstream engineering teams and external customers depend on.
• Observability: Instrument services with distributed tracing, structured logging, and alerting (Open‑telemetry / Prometheus / Grafana / Honeycomb stack) so failures surface before customers notice.
• CI/CD & Testing: Champion test automation - unit, integration, and smoke tests and maintain deployment pipelines that ship to production with confidence.
• Performance: Profile and resolve bottlenecks in execution throughput, cold‑start latencies, and cross‑service call chains driving a “snappy” platform experience for industrial workloads.
• Cost Efficiency (Bonus): Model compute and storage costs for functions execution; identify and implement optimizations that reduce cloud spend without sacrificing reliability.

The Impact you bring to Cognite

• 3–6 Years of Engineering: Proven track record building and operating production backend services at scale.
• Expertise: Deep mastery of JVM languages (Kotlin preferred, Java acceptable), Python(FastAPI), distributed systems patterns, and cloud-native service design (Kubernetes, Azure, GCP, AWS, Private cloud).
• Workflow & Orchestration: Hands‑on experience with workflow engines (Conductor, Apache Airflow, or equivalent) and event‑driven architectures (Kafka, Pub/Sub).
• Data & Storage: Comfortable working with relational databases (PostgreSQL) & non‑relational databases, object storage(Data‑lakes), and caching layers (Redis) in multi‑tenant environments.
• Observability Stack: Practical experience with Open‑telemetry, Prometheus, and Grafana for instrumentation and operational insight.
• ML Platform Exposure: experience supporting ML workloads & notebooks in production, whether through job scheduling, resource management, experiment tracking integration, or model serving infrastructure.
• Contextualisation Domain (Bonus): Familiarity with industrial knowledge graph construction, entity resolution, or NLP/CV pipelines as they relate to industrial asset data is a strong differentiator.
• Full‑Stack Awareness (Bonus): Familiarity with React or TypeScript is a plus for consuming and dogfooding your own platform’s developer tooling.
• The Platform Thinking Spirit: A passion for building composable, well‑documented, and automated platform systems that empower other engineers including ML engineers to build faster.

Nice to have

ML Platform & Contextualisation

• ML Workload Support: Build and extend platform primitives compute scheduling, environment management, and secrets handling, that enable ML engineers to run model training, fine‑tuning, and batch inference jobs reliably.
• Contextualisation Pipelines: Support the engineering infrastructure behind Cognite’s Contextualisation capabilities (entity matching, asset hierarchy inference, P&ID parsing) by ensuring the platform can orchestrate long‑running, GPU‑aware, and data‑intensive ML workflows without manual intervention.
• Vector & Embedding Infrastructure (Bonus): Familiarity with serving or storing vector embeddings to support semantic search and RAG‑based contextualisation use cases.
• Model Lifecycle Awareness: Understand model versioning, A/B experiment tracking, and the boundary between platform concerns and ML framework concerns, so the platform stays lean while ML teams stay unblocked.

Learn More About Us

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.