Solvd, Inc.

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.

Senior DevOps Engineer

Data Engineer

• Define the target architecture for Customer360 on Snowflake or Databricks, including ingestion patterns, modeling standards, and governance.
• Design and lead the Golden Record / identity resolution approach (deterministic matching first), including identifiers, survivorship rules, confidence scoring.
• Create the canonical customer model (core entities/relationships) and align marts/domains (e.g., insurance, cards, loans) into a unified customer layer.
• Establish data quality frameworks: checks (null/uniqueness/RI/thresholds), monitoring/alerts, lineage/source-of-truth mapping, and data SLAs.
• Define activation-ready outputs (customer attributes, segments, eligibility indicators) and support low-latency enablement patterns where needed.

Data Architect, AWS, DataBricks, MySQL

Product Manager

• Define and communicate product vision, strategy, and roadmap.
• Translate business needs into clear, well-prioritized user stories and acceptance criteria.
• Own and continuously refine the product backlog.
• Prioritize features and tasks based on business value, customer impact, and technical constraints.
• Act as the primary liaison between stakeholders and the development team.
• Ensure delivered features meet acceptance criteria and business goals.
• Participate actively in sprint planning, reviews, and retrospectives.

Vice President

• Lead global engineering teams across .NET, Java, C++, PHP, Python, React, Node.js, Vue.js, Angular, and DevOps.
• Oversee delivery quality, execution excellence, and enterprise-grade engineering outcomes.
• Manage utilization, bench, staffing strategies, and operating margin.
• Grow and mentor engineering managers, architects, and technical leaders.
• Define engineering standards, development methodologies, and modern delivery frameworks.
• Partner with Sales and Delivery for pre-sales, solutioning, and proposal development.
• Serve as an executive-level client partner, guiding engagements and building trust.
• Ensure successful execution of large, complex engineering programs.
• Drive a culture of innovation, accountability, and continuous improvement.

Vice President of Application Development

Frontend Engineer

• Develop and maintain highly scalable frontend applications using React (TypeScript).
• Collaborate with backend developers to ensure seamless API integration (backend services are built in Java).
• Optimize application performance and enhance user experience.
• Implement responsive UI components using React.
• Write clean, maintainable, and well-documented code, adhering to industry best practices.
• Participate in code reviews, debugging, and testing processes to uphold quality standards.
• Work in containerized environments using Kubernetes for deployment.

Lead Frontend Developer

Customer Success Manager

• Partner closely with the Email Marketing team to analyse CRM and campaign performance.
• Evaluate email campaign results, including engagement, conversion, and customer behaviour metrics.
• Use data to identify opportunities for optimisation and growth within the email marketing channel.
• Design, propose, and evaluate data-driven experiments to test hypotheses and improve performance.
• Develop clear insights and recommendations to inform campaign strategy and decision-making.
• Build and maintain reporting and dashboards to track performance and experiment outcomes.
• Support continuous improvement of CRM processes, segmentation, and targeting strategies.

CRM Analyst

Platform Engineer

• Build and maintain API and file-based partner ingestion pipelines to streamline data flow.
• Replace outdated Google Sheets-based workflows with a robust, automated pricing system, eliminating human error and enhancing reliability.
• Design and implement a comprehensive dashboard that delivers real-time, vertical-level data insights for improved decision-making.
• Develop innovative solutions to automate manual investigations, empowering stakeholders with self-serve tools to resolve issues faster.
• Overhaul and unify the alerting system, implementing advanced data quality checks to drive confidence in analytics.

Senior Software Engineer – Data Platform Engineer

• Design and implement backend services for the Entity / Party Management domain, following domain-driven and service-oriented principles.
• Build and maintain REST APIs exposed via Azure API Management (APIM).
• Develop event-driven components using Azure Service Bus and asynchronous messaging patterns.
• Work primarily with C# and .NET Core, contributing to existing services and building new capabilities.
• Design and manage data models using PostgreSQL, with occasional exposure to MongoDB or Cosmos DB.
• Collaborate with frontend engineers working in a micro-frontend monorepo environment.
• Contribute to containerized workloads deployed on Azure Kubernetes Service (AKS).
• Participate in code reviews, technical discussions, and architectural design sessions.
• Collaborate with QA on testability and reliability (Playwright, Vitest).
• Document designs, flows, and decisions using tools such as Confluence, Miro, Mermaid, or Visio.

• Design and implement frontend components for the Entity / Party Management domain within a micro-frontend architecture.
• Build user interfaces using React and Next.js in a monorepo environment.
• Contribute to shared UI patterns and frontend architecture using modern tooling.
• Integrate frontend applications with backend services via REST APIs.
• Work with JavaScript and TypeScript, ensuring high code quality and maintainability.
• Collaborate with designers and stakeholders using Figma, Visio, and Miro.
• Maintain and incrementally modernize legacy frontend components (AngularJS, jQuery) when required.
• Write and maintain frontend tests using Playwright and Vitest.
• Participate in code reviews, design discussions, and technical planning sessions.
• Document decisions and flows in Confluence and related tooling.

SDET

• Design and implement automated end-to-end test suites targeting the NestJS API layer.
• Write API-driven test scripts to validate request/response structures, business rules, database side effects, and blob storage behavior.
• Implement test logic capable of validating outputs from Databricks MLflow model executions, ensuring result accuracy and full workflow consistency.
• Build and maintain a scalable automated regression testing framework.
• Contribute to CI/CD pipelines so tests run automatically on each deploy, including quality gates and failure diagnostics.
• Plan and execute manual test cycles (smoke, functional, regression, and release readiness) for complex and high-impact scenarios that are not yet automated.
• Perform exploratory testing on new APIs, data flows, and model outputs to uncover edge cases and usability risks; feed findings back into automated coverage.
• Create and maintain test plans, and test cases with clear acceptance criteria and traceability to requirements (e.g., OpenAPI specs, tickets, and data contracts).
• Execute manual API validation using tools like Postman and direct SQL checks (PostgreSQL) to verify persistence, migrations, and data integrity.
• Support UAT with actuarial and engineering stakeholders; reproduce issues, capture evidence, and verify fixes.
• Collaborate with backend engineers (Node.js / Python) and actuarial teams to understand business flows and test for expected system behavior.
• Develop mocks, data fixtures, and test harnesses for API and data-layer scenarios.
• Ensure clear reporting, traceability, and root-cause insights for failed test cases, including well-formed defect tickets and triage participation.

Senior Test Automation Engineer, Manual QA

• Work closely with developers, project leads, project managers and UX designers for requirement analysis, development of test plans and automated regression tests.
• Design, develop, and maintain test automation solutions.
• Design, maintain and execute rock solid test plans.
• Work across various teams to meet quality goals and deadlines in an Agile environment.
• Analyze test results and use proper channels to effectively communicate recommendations and escalations to the greater team.