Movadex

About the Role

We are looking for a Senior Forward-Deployed Engineer/Solutions Architect  to own customer onboarding and site performance optimization for a cutting-edge edge-performance platform.

In this role, you will investigate e-commerce storefronts, design and implement caching strategies, lead customer launches, validate performance improvements, and serve as a trusted technical advisor throughout the customer journey.

This is a highly customer-facing position requiring a combination of deep technical expertise, analytical thinking, and strong communication skills.

Responsibilities

• Investigate customer e-commerce storefronts and identify performance bottlenecks.
• Design caching architectures that improve performance without compromising data integrity or personalization.
• Configure, test, and validate CDN and edge caching solutions.
• Lead customer launches and migrations from planning through production deployment.
• Diagnose and resolve caching, performance, and infrastructure-related incidents.
• Analyze Core Web Vitals, RUM metrics, and other performance indicators.
• Conduct technical customer meetings, including difficult conversations and expectation management.
• Collaborate with support engineers and contribute to their development.
• Validate and demonstrate measurable site speed improvements after launch.
•  

Requirements

Must Have

• 5+ years of experience in web infrastructure, CDN, performance engineering, solutions engineering, or a similar field.
• Strong understanding of HTTP caching concepts:
  • Cache keys
  • Cache invalidation and purging
  • Cookies and personalization
  • Reverse proxies
  • CDN behavior and troubleshooting
• Experience with platforms such as Cloudflare, Fastly, Akamai, Varnish, or similar technologies.
• Ability to read and analyze frontend code (HTML, JavaScript, DOM).
• Experience diagnosing performance issues in production environments.
• Strong debugging and incident investigation skills.
• Experience owning customer-facing launches or migrations end-to-end.
• Ability to communicate complex technical topics to customers clearly and confidently.

• Advanced English (spoken and written).

   

Nice to Have

• Shopify experience.
• Salesforce Commerce Cloud experience.
• Experience working in e-commerce agencies.
• Background in Solutions Engineering, Solutions Architecture, Forward-Deployed Engineering, or Technical Consulting.
• Experience with Core Web Vitals and Real User Monitoring tools.

Interview Process

• Recruiter screening
• Technical assessment
• Live working session with the engineering team

The live session includes:

• Technical discussions
• Problem-solving exercises
• Whiteboard-style reasoning and calculations
• Investigation of unfamiliar code and performance scenarios

Working Requirements

• Minimum 4 hours overlap with US Eastern Time business hours.
• Comfortable working on camera and sharing screen during customer-facing meetings.
• Ability to become independently productive after onboarding and training.

Senior Data Engineer / Platform Engineer

Location: Remote
Engagement: Full-time, 2-month contract with strong potential for long-term extension (full-time or part-time)

About the Company

Our client is an innovative AI-driven product company building intelligent agents that automate and enhance customer interactions across multiple channels. As the company continues to scale, they are looking for an experienced Senior Data Engineer / Platform Engineer to strengthen and evolve their data infrastructure.

About the Role

We are seeking a highly skilled Senior Data Engineer / Platform Engineer to design, build, and maintain reliable, scalable data infrastructure and pipelines across the analytics and product data ecosystem.

In this role, you will play a key part in ensuring that business and product teams have access to accurate, trustworthy, and actionable data while improving the overall reliability, observability, and scalability of the company's data platform.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and workflows.
• Develop and optimize data infrastructure supporting analytics and product use cases.
• Improve data quality, reliability, monitoring, and observability practices.
• Manage and enhance integrations between internal and external systems.
• Collaborate closely with Engineering, Product, and Implementation teams.
• Ensure data consistency, accessibility, and governance across the organization.
• Support and optimize production-grade data systems and processes.
• Contribute to the ongoing evolution of the company's data platform architecture.

Requirements

• 5+ years of experience in Data Engineering, Platform Engineering, or a related field.
• Proven experience building and maintaining production-grade data systems.
• Strong hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL expertise.
• Extensive experience designing, developing, and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of Microsoft SQL Server.
• Hands-on experience with ClickHouse.
• Experience working with Fivetran.
• Strong understanding of data quality, monitoring, and observability best practices.
• Excellent verbal and written English communication skills.
• Ability to work independently in a fast-paced, dynamic environment.

Nice to Have

• Experience supporting modern analytics platforms and data ecosystems.
• Background working within SaaS or AI-driven product companies.
• Familiarity with large-scale data processing and optimization.

What We Offer

• Opportunity to work with a cutting-edge AI product company.
• High-impact role with ownership over critical data infrastructure.
• Fully remote work environment.
• Fast-moving and collaborative engineering culture.
• Strong potential for long-term engagement beyond the initial contract period.

We are looking for a highly skilled Senior Android Developer to join a short-term project with an approximate duration of 3 months. The client is a Cambridge-based medical technology company that specializes in advanced solutions for diabetes management.

 Details:

- Full-time
- Fully remote
- Duration: around 3 months
- Start: asap

The Job
A migration project. This is a hands-on engineering role requiring someone who can quickly become productive, perform code migration, implement comprehensive unit testing, and validate the successful operation of the migrated functionality.

Key Responsibilities
 

• Migrate Android codebases from AWS Android SDK to AWS Kotlin SDK. The application is fully on AWS.
• Perform Java-to-Kotlin migration where required
• Develop and maintain high-quality, maintainable Android application code
• Create and execute comprehensive unit tests to validate migrated functionality
• Ensure application stability, performance, and reliability throughout the migration process
• Follow best practices for CI/CD, automated testing, and code quality

• Contribute to technical discussions and architectural decisions where appropriate

   

Must-have:
 

• 5+ years of professional Android development experience
• Upper-intermediate or Advanced level of English
• Strong experience with Android application development using Java and Kotlin
• Critical: Experience with AWS is a must-have! AWS Android SDK and/or AWS Kotlin SDK
• Proven experience migrating or modernizing Android codebases
• Strong understanding of writing clean, maintainable, and testable code
• Experience with unit testing and automated testing practices
• Experience with mobile CI/CD tooling, including build and test automation

• Strong communication skills and ability to work independently in a remote environment

   

Nice to Have:
 

• Experience in healthcare or medical technology environments
• Experience developing Software as a Medical Device (SaMD)
• Experience working on safety-critical or regulated applications

We are looking for a Lead Golang Engineer to join an exciting long-term project focused on building an AI-powered tourism platform.

This is not a traditional coding role.

We are looking for engineers who can build and deliver features end-to-end using modern AI-assisted development tools, with a strong preference for Claude Code and similar agentic AI solutions.

This is a hands-on engineering position with strong technical leadership responsibilities. While this is not a people-management role, the successful candidate must have proven experience leading delivery within engineering teams, coordinating execution, and driving outcomes.

Requirements

• 5+ years of commercial experience with Golang (exceptionally strong candidates with 4+ years may also be considered)
• Proven experience delivering production-ready features end-to-end
• Mandatory experience leading delivery within a development team
• Demonstrable experience acting as a technical lead within a squad, including:
  • breaking down work and defining execution plans
  • coordinating engineering efforts across team members
  • representing the team during planning sessions
  • communicating with stakeholders
  • facilitating successful delivery outcomes
• Strong experience using AI coding tools in daily development workflows
• Proven AI-first engineering experience is required
• Hands-on experience with Claude Code is highly preferred
• Candidates should be prepared to provide specific examples of using AI-assisted development tools during the application process
• Strong English communication skills (Upper-Intermediate / Advanced)
• Self-driven mindset, ownership mentality, and ability to work autonomously

Responsibilities

• Build and deliver product features end-to-end using Golang and AI-assisted development workflows
• Drive technical delivery across the team
• Coordinate engineering efforts and help unblock delivery challenges
• Collaborate closely with product, engineering, and business stakeholders
• Contribute to architecture discussions and technical decision-making
• Champion AI-first development practices and help improve engineering productivity through AI tools
• Work in a highly autonomous, fast-moving engineering environment

Project Details

• AI-powered tourism platform
• Full-time position
• Fully remote
• Long-term cooperation
• Start date: ASAP (flexible for the right candidate)

If you're passionate about AI-driven engineering, enjoy taking ownership of delivery, and have a track record of leading technical execution within engineering teams, we'd love to hear from you.

About the Role

We are looking for a Senior Forward-Deployed Engineer/Solutions Architect  to own customer onboarding and site performance optimization for a cutting-edge edge-performance platform.

In this role, you will investigate e-commerce storefronts, design and implement caching strategies, lead customer launches, validate performance improvements, and serve as a trusted technical advisor throughout the customer journey.

This is a highly customer-facing position requiring a combination of deep technical expertise, analytical thinking, and strong communication skills.

Responsibilities

• Investigate customer e-commerce storefronts and identify performance bottlenecks.
• Design caching architectures that improve performance without compromising data integrity or personalization.
• Configure, test, and validate CDN and edge caching solutions.
• Lead customer launches and migrations from planning through production deployment.
• Diagnose and resolve caching, performance, and infrastructure-related incidents.
• Analyze Core Web Vitals, RUM metrics, and other performance indicators.
• Conduct technical customer meetings, including difficult conversations and expectation management.
• Collaborate with support engineers and contribute to their development.
• Validate and demonstrate measurable site speed improvements after launch.
•  

Requirements

Must Have

• 5+ years of experience in web infrastructure, CDN, performance engineering, solutions engineering, or a similar field.
• Strong understanding of HTTP caching concepts:
  • Cache keys
  • Cache invalidation and purging
  • Cookies and personalization
  • Reverse proxies
  • CDN behavior and troubleshooting
• Experience with platforms such as Cloudflare, Fastly, Akamai, Varnish, or similar technologies.
• Ability to read and analyze frontend code (HTML, JavaScript, DOM).
• Experience diagnosing performance issues in production environments.
• Strong debugging and incident investigation skills.
• Experience owning customer-facing launches or migrations end-to-end.
• Ability to communicate complex technical topics to customers clearly and confidently.

• Advanced English (spoken and written).

   

Nice to Have

• Shopify experience.
• Salesforce Commerce Cloud experience.
• Experience working in e-commerce agencies.
• Background in Solutions Engineering, Solutions Architecture, Forward-Deployed Engineering, or Technical Consulting.
• Experience with Core Web Vitals and Real User Monitoring tools.

Interview Process

• Recruiter screening
• Technical assessment
• Live working session with the engineering team

The live session includes:

• Technical discussions
• Problem-solving exercises
• Whiteboard-style reasoning and calculations
• Investigation of unfamiliar code and performance scenarios

Working Requirements

• Minimum 4 hours overlap with US Eastern Time business hours.
• Comfortable working on camera and sharing screen during customer-facing meetings.
• Ability to become independently productive after onboarding and training.

Movadex Labs is looking for a highly technical Solutions Architect to help design and deploy custom AI systems for enterprise clients. This is not a generic consulting role. You will work at the intersection of business workflows, AI infrastructure, data architecture, agentic systems, and production engineering.

You will work closely with our Business Analyst, product/enterprise design lead, and engineering team to translate messy enterprise needs into clear technical architectures, sandbox environments, implementation plans, and deployable AI solutions.

The ideal person understands how to move from “the client has a workflow problem” to “here is the architecture, data flow, model/tooling layer, security approach, integration plan, and technical execution roadmap.”

What you’ll do

Work with the BA to understand client workflows, internal systems, data sources, approval flows, users, edge cases, and business constraints.

Design technical discovery frameworks and AI sandboxes for enterprise clients, including data ingestion, knowledge layers, vector search/RAG, workflow orchestration, evaluation loops, permissions, observability, and deployment options.

Architect custom agentic systems that can operate across internal documents, structured data, APIs, tools, and human-in-the-loop processes.

Define the right AI infrastructure for each use case: LLM providers, model routing, embeddings, vector databases, orchestration frameworks, retrieval pipelines, eval systems, monitoring, guardrails, and hosting environment.

Create implementation blueprints for engineering teams, including system diagrams, integration maps, API requirements, data requirements, deployment approach, security considerations, and phased delivery plans.

Support enterprise pilots from technical discovery through sandbox build, prototype, production deployment, and post-launch optimization.

Help evaluate whether a workflow should be solved with RAG, fine-tuning, workflow automation, agent orchestration, rules-based logic, traditional software, or a combination of approaches.

Partner with product/design to make sure the AI system is not just technically functional, but actually usable, adoptable, and measurable inside the client’s organization.

Collaborate with engineers during implementation, review architecture decisions, unblock technical issues, and ensure the final system matches the intended design.

Help build reusable internal assets, including reference architectures, agent templates, sandbox environments, evaluation patterns, deployment playbooks, and technical documentation.

What we’re looking for

Strong experience designing production software systems, ideally in enterprise, AI, data, SaaS, automation, or cloud environments.

Deep understanding of modern AI infrastructure: LLM APIs, RAG, embeddings, vector databases, agent frameworks, tool calling, evals, prompt orchestration, model routing, guardrails, observability, and deployment tradeoffs.

Ability to work with messy, ambiguous enterprise requirements and turn them into clear technical plans.

Strong understanding of backend systems, APIs, databases, cloud architecture, authentication, permissions, security, and integration patterns.

Comfortable designing sandbox environments and proof-of-concept systems that can later scale into production.

Ability to communicate clearly with both technical and non-technical stakeholders.

Strong documentation skills: architecture diagrams, technical specs, implementation plans, and engineering handoff materials.

Practical, product-minded thinking. You should know when to use advanced AI infrastructure and when a simpler workflow automation or software solution is the better answer.

Experience with AWS, Azure, or GCP is strongly preferred.

Experience with Python, TypeScript/Node.js, FastAPI, LangChain/LangGraph, LlamaIndex, OpenAI/Anthropic APIs, vector DBs, or similar tools is a strong plus.

You are a strong fit if

You can sit in a client discovery session, understand the business process, ask sharp technical questions, and quickly see what kind of AI system should be built.

You are not just an engineer and not just a consultant. You can bridge strategy, architecture, and implementation.

You understand that enterprise AI is not only about prompts or models. It is about workflows, data readiness, integrations, permissions, evals, adoption, and measurable ROI.

You can design something that engineers can actually build.