Simplify

Ongoing product — developer platform;
blockchain infrastructure company that enforces regulated transaction rules (AML/CFT checks, offchain collateral requirements) at the smart contract layer with cryptographic verification before onchain execution

Role: lead technical direction of the dashboard, SDK and API infrastructure that makes the protocol accessible to developers; build visualization tools for monitoring policy enforcement and network activity; partner with protocol engineers on developer-friendly abstractions and documentation

Backend: Go (production, primary language, hard requirement)
Frontend: React, Next.js


100% overlap with EST hours required — for Europe, roughly 3pm–11pm local time

working hours : 16.00-00.00

Senior Data Modelling Analyst

Designs and maintains the data models that underpin analytics and BI reporting, working closely with business stakeholders and data engineers to make sure data structures accurately represent business processes and support reliable, consistent reporting.

Key Responsibilities:

• Design conceptual, logical, and physical data models to support analytics and BI reporting
• Translate business requirements into scalable, well-documented data models
• Define and maintain dimensional models (star/snowflake schemas) for data warehouses
• Partner with data engineers to ensure models are implemented correctly in production
• Maintain data dictionaries, model documentation, and naming standards
• Review and validate data models for consistency, performance, and scalability
• Support ad hoc data analysis and modeling requests from business stakeholders

Requirements:

• 5+ years of experience in data modeling (conceptual, logical, physical)
• Strong expertise in dimensional modeling (star/snowflake schemas) for data warehouses
• Experience translating business requirements into data model design
• Proficiency in SQL and data modeling tools (e.g., ERwin, dbt, Lucidchart)
• Strong understanding of data warehousing concepts and BI/reporting needs
• Strong communication skills to work across business and engineering teams
• Experience maintaining data dictionaries and documentation standards

Nice to Have:

• Experience with a modern cloud data warehouse (Snowflake, Redshift, Synapse, BigQuery)
• Familiarity with BI tools (Power BI, Tableau, Looker)
• Background working in a consulting or client-facing environment

A second hands-on senior engineering role alongside Senior Data Engineer #1, building and maintaining production data pipelines on one cloud platform — typically covering a different workstream or cloud stack within the same data engineering team.

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines on AWS or Azure
• Optimize pipeline performance, reliability, and cost-efficiency
• Implement data-quality checks, monitoring, and alerting for production pipelines
• Collaborate with the Data Engineering Lead and Architect on pipeline design and standards
• Support data modeling and schema design together with the Data Modelling Analyst
• Troubleshoot and resolve data pipeline issues in production
• Participate in code reviews and contribute to engineering best practices

Requirements:

• 5+ years of hands-on data engineering experience
• Deep expertise in one cloud platform: AWS (Glue, S3, Redshift, EMR, Lambda, Kinesis) or Azure (Data Factory, Synapse, ADLS, Databricks)
• Strong SQL and Python (or Scala) skills; experience with orchestration tools (Airflow, ADF, etc.)
• Experience with ETL/ELT design, data-quality checks, and performance optimization
• Familiarity with distributed data processing frameworks (Spark)
• Experience operating production data pipelines at scale
• Solid understanding of data warehousing and dimensional modeling concepts

Nice to Have:

• Familiarity with CI/CD and infrastructure-as-code (Terraform)
• Experience with streaming data pipelines (Kafka, Kinesis, Event Hubs)
• Exposure to dbt or similar transformation tooling

Leads a team of data engineers delivering pipelines and platform components across AWS and Azure, balancing hands-on technical work with people leadership. Partners with the Data Architect and business stakeholders to keep the team's roadmap aligned with platform architecture and delivery priorities.

Key Responsibilities:

• Lead and mentor a team of data engineers delivering pipelines across AWS and Azure
• Own technical design and implementation decisions for data pipeline architecture
• Establish and enforce engineering best practices: code quality, testing, CI/CD, documentation
• Plan and prioritize the team's roadmap in collaboration with architecture and business stakeholders
• Troubleshoot and resolve complex data pipeline and platform issues
• Drive adoption of orchestration, monitoring, and data-quality tooling
• Partner with the Data Architect to keep delivered pipelines aligned with platform architecture

Requirements:

• 7+ years of data engineering experience, including 2+ years in a technical leadership role
• Hands-on expertise with both AWS (Glue, EMR, Redshift, Lambda, Kinesis) and Azure (Data Factory, Synapse, Databricks)
• Strong background in pipeline architecture, orchestration (Airflow/ADF), and CI/CD for data
• Experience mentoring engineers and setting technical best practices across a team
• Solid SQL and Python/Scala skills, with experience in distributed data processing (Spark)
• Experience with data quality, testing, and monitoring frameworks
• Strong communication and planning skills; comfortable working directly with stakeholders

Nice to Have:

• Experience with dbt or similar transformation frameworks
• Familiarity with infrastructure-as-code (Terraform, CloudFormation, Bicep)
• Prior experience in a consulting or client-facing delivery environment

AI Delivery Engineer  —  Agent Tooling & Code Generation

Builds and ships production-grade AI agent tooling and code-generation solutions, working closely with engineering and product teams to embed AI agents into the delivery lifecycle — from prototyping through reliable, monitored production rollout.

Key Responsibilities:

• Design, build, and maintain AI agent tooling that automates engineering and business workflows
• Develop and refine code-generation pipelines and developer copilots
• Integrate LLM APIs and agent-orchestration frameworks into production systems
• Build and maintain RAG pipelines, vector stores, and prompt-engineering workflows
• Identify high-value automation opportunities together with engineering and product teams
• Monitor, evaluate, and improve agent performance, reliability, and safety in production
• Document tooling and support internal teams adopting AI agents

Requirements:

• 4+ years of software engineering experience, with recent focus on applied AI/LLM systems
• Hands-on experience building LLM-based agents or agent-orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or custom pipelines)
• Experience with code-generation tooling, developer copilots, or AI-assisted development workflows
• Strong Python skills (TypeScript/JS a plus) for building agent tooling and integrations
• Experience with LLM APIs (OpenAI, Anthropic, etc.), RAG pipelines, and vector databases
• Proven ability to take AI prototypes from concept to reliable, production-grade delivery
• Understanding of prompt engineering, evaluation, and guardrails for LLM-based systems

Nice to Have:

• Experience deploying agentic frameworks in enterprise settings
• Familiarity with MLOps/LLMOps practices
• Contributions to open-source AI tooling

Owns the end-to-end data architecture across both AWS and Azure — from storage and ingestion patterns to governance and security. Works closely with engineering leads and business stakeholders to define a target-state architecture and evaluate the tools and services that support it, and provides architectural oversight as the platform is built out.

Key Responsibilities:

• Define and own the target-state data architecture across AWS and Azure environments
• Design data lake / data warehouse solutions, including storage layers, ingestion patterns, and processing frameworks
• Establish data governance, security, and access-control standards across both cloud platforms
• Translate business requirements into scalable, well-documented technical designs
• Evaluate and select tools/services across AWS and Azure, balancing cost, performance, and maintainability
• Provide architectural guidance and review to engineering teams during implementation
• Support cloud migration and multi-cloud integration initiatives

Requirements:

• 8+ years in data architecture/engineering, including senior/lead-level design responsibility
• Hands-on architecture experience with both AWS (S3, Redshift, Glue, Lake Formation, Athena) and Azure (ADLS, Synapse, Data Factory, Databricks)
• Proven track record designing large-scale data lakes/warehouses and enterprise data governance frameworks
• Strong grasp of data modeling, ETL/ELT design, and distributed data processing (Spark)
• Experience with data security, compliance, and access management across cloud platforms
• Track record leading multi-cloud or cloud-migration data initiatives
• Excellent stakeholder communication; able to present architecture decisions to technical and business audiences

Nice to Have:

• Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert)
• Experience with data mesh or domain-driven data architecture
• Background in a regulated industry (finance, healthcare, etc.)

We are looking for an 

Requirements:
• Strong experience in AI/ML Engineering
• Hands-on experience with AI solutions in production
• Experience with Microsoft Azure
• Azure AI experience is highly preferred
• Strong Python and AI/ML development skills
• Experience with LLMs, Generative AI and AI integrations
• Understanding of scalable AI solutions and cloud architectures
• English — B2+

Duration: 1.5 months

FTE: Full-time (40 h per week)
Timeline: 3-6 months (tbd)
Start: ASAP
English: B2

Recruitment process: a tech check with our client, then an interview with the main client

The company
A well-established B2D (business-to-developer) SaaS platform operating at significant scale. Their product is infrastructure-level - real-time connectivity used by developers worldwide.

The team
~6–7 people: tech lead, PM, delivery manager, 3 web engineers + contractors. Small, tight-knit, opinionated. Standups Monday and Friday.

The role
One senior hire. This is a product-minded engineering role, not ticket execution. They’re shifting away from reactive delivery toward engineers who understand customers and drive outcomes.

Tech stack
= React + TypeScript (frontend), Ruby on Rails (backend), some Node/TS services, Postgres.

What they’re looking for
- Developer empathy - you build tools for developers, you get the frustrations firsthand
- Product thinking - question requirements, propose what should be built
- Ownership - concept to shipped with minimal hand-holding
- Proactive communicator
- Comfortable with AI coding assistants (they use them actively)
- Design + UX intuition

We have 4 remaining spots and would like to review strong profiles from your side:

- 2x Senior / Strong Mid-level iOS Engineers (Swift)
- 1x Senior / Strong Mid-level Android Engineer

The requested start date is August 31st, so the timeline to fill these final roles is tight.

Key Requirements:

- Mobile: Strong native iOS/Android experience. Interviews will focus on the complexity, responsibilities, and technical experience from previous projects.
- General: Candidates should be proactive, vocal, and adaptable to a large team and fast timeline.

Simplify
Keep energy for life.

The daily quantum leap of technology development requires people to continually upgrade their skills to manage more complicated programs and devices. It consumes time and energy.

We work for simplifying the digital experience of people by making a wide range of functionally excellent IT products that are still intuitively usable. From the landing page for the one-time event up to the total automation of the business.

We work diligently and adequately because we value our and your time and energy.

If you share our principles — we will be pleased to work with You.

Looking for a Senior level Full-stack and Front-end developers experienced in the healthcare domain locally in the US.

Requirements: 

• 5+ years shipping the software in production
• Real experience with React Native or Expo - you've shipped to TestFlight/Play Store
• NestJS or another opinionated Node framework
• Comfort with Stripe (subscriptions, webhooks, idempotency) or a similar payments stack

• Worked with Postgres + an ORM (TypeORM, Prisma, Drizzle) and know when to drop to raw SQL

   

What will you do:

• Mobile and web apps (Expo, React): onboarding, timeline, reports, notifications
• Backend (NestJS 11, Node 20, TypeORM + Postgres, Redis, Webhooks, GCS)
• Internal tools (Python, Docker)
• Infra (Terraform, GCP Cloud Run, Artifact Registry, WIF, GitHub Actions)

We have 4 remaining spots and would like to review strong profiles from your side:

- 2x Senior / Strong Mid-level iOS Engineers (Swift)
- 1x Senior / Strong Mid-level Android Engineer

The requested start date is August 31st, so the timeline to fill these final roles is tight.

Key Requirements:

- Mobile: Strong native iOS/Android experience. Interviews will focus on the complexity, responsibilities, and technical experience from previous projects.
- General: Candidates should be proactive, vocal, and adaptable to a large team and fast timeline.