skatkar

As a Forward Deployed Engineer, you’ll act as a technical ambassador for Adobe—splitting your time between: •Hands-on engineering (building AI-powered systems, APIs, and integrations) •Direct collaboration with customer engineering teams

The Stack: •Languages: Python, Java, Scala •ML/AI Frameworks: PyTorch, TensorFlow, JAX •LLM Systems: RAG pipelines, agents, prompt orchestration, evaluation frameworks •Cloud & DevOps: AWS, GCP, Azure, Docker, CI/CD, Git •MLOps / LLMOps: Evaluation pipelines, prompt/version management, feature flags, canary releases

What we’re looking for: We’re looking for a senior engineer (9+ years) with hands-on AI/ML and LLM experience who takes a build-first approach. You bring strong Python and cloud skills, experience with APIs, data analysis, and observability, and can take systems from prototype to production. You understand modern AI architectures (RAG, agents, evaluation), have a track record of shipping and iterating in real-world environments, and can turn data into action. You’re also a strong communicator who can work directly with customers, guide implementations, and drive measurable impact.

Comp: $208,300 - $301,600 base + Equity + Adobe’s notoriously good benefits.

How to Apply: Email me directly at [email protected] with "HN: [Your Name]" in the subject line.

Adobe is building a Real-Time Customer Data Platform (CDP) that operates at a scale most companies never see. We aren't just building another "enterprise app"; we are managing trillions of events and solving complex state problems in real-time.

If you find "distributed systems" a lifestyle rather than a buzzword, we want to talk. We are currently tackling challenges in high-throughput streaming, identity resolution at scale, and sub-millisecond data retrieval.

The Stack:

Core: Java, Scala, Spring Boot

Compute/Stream: Spark, Flink, K8s

Storage/Messaging: Kafka, FoundationDB, Aerospike, Cosmos DB, Delta Lake

Infrastructure: Multi-cloud (Azure/AWS), Docker, Vector DBs

What we’re looking for:

The "8+ Years" Profile: You’ve spent a decade breaking and fixing large-scale distributed systems.

Concurrency & Performance: You don’t just write code; you tune it. You understand the JVM, memory models, and how to squeeze performance out of every thread.

Architecture: Experience with Flink/Kafka/Spark isn't just about using the API—it's about knowing how they fail and how to keep them running under massive load.

The Logistics:

Locations: San Jose, New York, or San Francisco (Hybrid/Onsite).

Comp: $177,900 – $257,550 base + Equity + Adobe’s notoriously good benefits.

How to Apply: Email me directly at [email protected] with "HN: [Your Name]" in the subject line.

My team at Adobe is hiring senior engineers to scale the Real-Time Customer Data Platform, which processes trillions of events to power real-time personalization for global brands. This is deep, low-latency distributed systems work — not typical enterprise app dev.

We use: Java, Scala, Spring Boot, Kafka, Spark, Flink, Cosmos DB, Aerospike, FoundationDB, Delta Lake, K8s, Azure/AWS, Docker, OpenAI, Vector DBs.

Looking for:

• 5+ years building large-scale distributed or streaming systems

• Strong backend skills (Java/Scala, concurrency, perf tuning)

• Experience with Kafka/Spark/Flink and cloud-native systems

Bonus: Martech/Adtech, identity resolution, or personalization experience.