Solvd, Inc.

Full-stack Engineer

• Partner with Pre-sales, GTM, and product discovery teams to define the right problem, success criteria, and constraints.
• Break ambiguous client needs into focused increments deliverable in days, each with a clear hypothesis to test.
• Deliver end-to-end increments by combining your own work, team delegation, and coding agents working in parallel.
• Own final quality. Agents accelerate the work, but you're accountable for what ships.
• Evolve our tooling and workflows so the team ships faster each month.
• Spot patterns across client work and turn them into reusable building blocks.
• Define handoff standards when increments mature into v1 products or move to delivery teams.
• Mentor builders toward high ownership, pragmatic shipping, and continuous reuse.
• Create a culture where speed comes from better systems, not longer hours.

Lead AI Product Engineer

Data Engineer

• Build and maintain scalable data pipelines with Databricks, Spark, and PySpark.
• Manage data governance, security, and credentials using Unity Catalog and Secret Scopes.
• Develop and deploy ML models with MLflow; work with LLMs and embedding-based vector search.
• Apply ML/DL techniques (classification, regression, clustering, transformers) and evaluate using industry metrics.
• Design data models and warehouses leveraging dbt, Delta Lake, and Medallion architecture.
• Work with healthcare data standards and medical terminology mapping.

Data Engineer, Databricks

Consultant

• Lead the end-to-end design of a secure, governed, enterprise-scale Data Lakehouse platform for a FinTech organization
• Define and implement future-proof security, governance, and interoperability strategies
• Design end-to-end PII data protection strategy including tokenization and encryption
• Implement secure ingestion patterns
• Define data catalog strategy
• Lead migration of legacy ETL pipelines into Lakehouse architecture
• Establish CI/CD practices for pipelines and governance rules

Senior Data Consultant

Artificial Intelligence

• Collaborate with cross-functional teams to design and build AI Agentic solutions.
• Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
• Take ownership of assigned tasks and deliver high-quality, maintainable code.
• Manage backend tasks while contributing to frontend development.
• Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
• Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.

Senior AI NodeJS Engineer

Data Analyst

• Conduct data collection, exploration & analysis to uncover business insights, trends and patterns.
• Optimize data flow & architecture across operational and analytical platforms for efficiency.
• Ensure data integrity and accuracy by documenting processes and maintaining quality controls.
• Develop dashboards & reports to support decision-making.
• Collaborate with cross-functional teams in marketing, operations, and finance to drive data-driven decisions.
• Demonstrated ability to apply strong analytical thinking to solve complex problems, interpret data, and make data-driven decisions.

Senior Data Analyst

Infrastructure Engineer

• Design complex, scalable, and secure AWS architectures based on client requirements
• Create migration strategies for applications, data centers, networks, and workloads
• Define infrastructure patterns and reusable frameworks for cloud adoption
• Lead the deployment of AWS services such as EC2, VPC, IAM, S3, RDS, Lambda
• Execute large-scale migrations of applications, data, and networks
• Troubleshoot issues during delivery and guide teams in implementing best practices
• Work directly with client stakeholders to gather requirements and validate designs
• Provide guidance on industry trends, cloud capabilities, and modernization approaches
• Communicate complex technical concepts to both technical and non-technical audiences
• Mentor junior consultants and share best practices internally
• Develop documentation, templates, and repeatable assets for future engagements
• Support internal learning and cloud capability development within Solvd.

Cloud Infrastructure Architect

Cloud Engineer

• Design and implement scalable, secure AWS architectures based on client requirements
• Assess current-state environments and propose effective cloud migration strategies
• Build patterns and frameworks to support repeatable, high-quality delivery
• Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless
• Troubleshoot issues during delivery and guide teams in operational best practices
• Ensure performance, reliability, and security across deployed solutions
• Collaborate with stakeholders to gather requirements and validate solution designs
• Act as a trusted advisor on cloud strategy, modernization options, and industry trends
• Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences
• Mentor team members and contribute to internal learning initiatives
• Develop documentation, reusable assets, templates, and best practices for future projects
• Promote continuous improvement within Solvd’s Cloud Engineering practice

Backend Engineer

• Identity resolution analytics (deterministic + probabilistic).
• Customer profile enrichment and feature engineering.
• Intent scoring and behavioral modelling.
• Rule-based decisioning with a clear path to ML-driven models.
• Model validation, performance measurement, and drift detection.
• Analytical inputs powering real-time APIs and microservices.
• Working with batch data today, while designing for near real-time enablement.

Senior Data Scientist, Python, AI/ML Models, AWS, DataBricks, MySQL

DevOps Engineer

• Design, build and support automated provisioning, continuous deployment and telemetry systems that help our teammates work more effectively.
• Help make decisions around infrastructure technology choices that impact developer workflow, security, scalability, reliability, and performance.
• Contribute to the curation and prioritization of the team roadmap.
• Embrace cross-team collaboration, debate, and execution, working closely with teammates in Application Engineering, Service Reliability Engineering, Data Science, Program Management, E-Commerce Engineering, and business orgs to solve problems and make sure our infrastructure evolves with our products.