Solution Architect – Cloud Solutions, MLOps/DevOps

Job Title: Solution Architect – Cloud Solutions, MLOps/DevOps
Role Summary:
We are seeking a Solution Architect with expertise in Python and Java-based services, and advanced database/SQL and data pipeline performance optimization. This role will architect, design, and scale data-intensive, cloud-native platforms supporting analytics, operational systems, and AI/ML workloads. The ideal candidate combines deep system design skills, database knowledge, DevOps, and the ability to build end to end enterprise solutions in cloud environments.
Key Responsibilities
Cloud Architecture & Platform Design
• Own end-to-end cloud solution architecture for data-driven platforms
• Design scalable, fault-tolerant, cloud-native systems using Python and Java
• Define architectural standards for microservices, data access layers, and APIs
• Ensure solutions meet performance, security, cost, and compliance requirements
• Continuously monitor and incrementally evolve system performance, reliability
Python Solution
• Architect and deploy Python services in “tandem” with ML Engineers:
o Data ingestion, transformation, and orchestration
o Analytics, reporting, and decisioning systems
o ML/AI pipelines and feature processing
• Python frameworks and tools such as:
o FastAPI / Flask
o Pandas, PySpark, Dagster
Java-Based Data Services
• Design and govern Java backend and data services, including:
o REST / gRPC APIs
o High-throughput data access services
o Streaming and event-driven services
• Work with technologies such as:
o Spring Boot / Spring Cloud
o Connection pooling, caching, and resilience patterns

Database Architecture & SQL Optimization

• Design and optimize database architectures for both OLTP and OLAP workloads
• Deeply analyze and tune SQL queries:
o Query plans, indexes, partitions, joins, and materialized views
o Locking, concurrency, and transaction isolation
• Optimize performance across:
o Relational databases (Postgres, MySQL, SQL Server, Oracle)
o Cloud-native databases (Aurora, Cloud SQL, Azure SQL)
o Data warehouses (Snowflake, BigQuery, Synapse)
• Lead efforts in:
o Schema design and normalization/denormalization tradeoffs
o Indexing strategies and partitioning
o Query refactoring and workload tuning
o Database cost and performance optimization
Data & Streaming Platforms
• Architect solutions using:
o Data lakes and lakehouses (S3/ADLS/GCS, Delta, Iceberg, Hudi)
o Streaming platforms (Kafka, Flink, Spark Structured Streaming)
• Enable data quality, lineage, and governance
• Design batch + real-time hybrid architectures

DevOps, Reliability & Security
• Implement observability for services, databases, and queries
• Enforce security best practices:
o IAM, encryption, secrets management
o Network isolation and least privilege
• Drive cost optimization across compute, storage, and database layers

Technical Leadership
• Act as architectural authority across teams
• Mentor engineers on database design, query tuning, and system performance
• Partner with product, analytics, and ML teams to deliver data-driven capabilities
• Communicate complex technical tradeoffs clearly to leadership

Required Qualifications
Core Experience
• 8+ years of software engineering experience with architecture ownership
• Strong hands-on experience with Python and Java in production systems
• Proven expertise in database design and SQL performance optimization
• Deep experience with at least one major public cloud (Azure, or GCP)
Cloud & Engineering
• Microservices and distributed systems
• Containers and orchestration (Docker, Kubernetes)
• Event-driven architectures
• CI/CD and DevOps best practices
Preferred Qualifications
• Experience with large-scale analytics or AI/ML platforms
• Knowledge of MLOps and feature stores
• Experience supporting multi-tenant, global systems
• Prior role as Solution Architect, Principal Engineer, or Staff Engineer