Deploy

Role Description DEPLOY has been retained to find an intermediate-level Frontend Software Engineer to join our team full-time and help our client build the next generation of AI-first web and SaaS products. You'll work across a portfolio of active client engagements, turning thoughtful designs into polished, performant, accessible interfaces — and you'll do it alongside senior engineers, designers, and product leads who care deeply about craft. This role is ideal for someone who has a few solid years of production front-end experience under their belt, is fluent in TypeScript and Next.js, enjoys integrating modern CMS platforms, and is already pulling AI-first development tools like Claude Code, Codex, and Cursor into their daily workflow. What you will do - Design, build, and ship user-facing features for AI-first web and SaaS products using Next.js, React, and TypeScript - Translate Figma designs into pixel-accurate, responsive, accessible interfaces that hold up across browsers and devices - Integrate headless CMS platforms — Sanity, Gatsby — wiring up schemas, structured content, and preview environments - Consume and build against REST and GraphQL APIs, including authentication, caching, and error handling patterns - Leverage AI-first development tooling (Claude Code, Codex, Cursor) to accelerate delivery while maintaining code quality and review discipline - Write component and end-to-end tests with Playwright and collaborate with QA on coverage, regression prevention, and CI quality gates - Partner with designers, product managers, and backend engineers across active client engagements to scope, estimate, and deliver work - Participate in code reviews, pairing, and technical discussions — giving and receiving clear, constructive feedback - Contribute to front-end performance, accessibility, and SEO improvements using Lighthouse, axe, and Core Web Vitals tooling - Maintain clear documentation for components, integrations, and handoffs in Jira, Confluence, and project repositories - Identify technical risks early and communicate trade-offs, estimates, and status clearly in an async, remote environment Qualifications - 3–5+ years of professional software engineering experience with a primary focus on front-end development - Strong proficiency in TypeScript and modern JavaScript (ES2020+), including async patterns and type-safe API design - Production experience building applications with Next.js and React, including App Router, server components, and data fetching patterns - Hands-on experience with at least one headless or traditional CMS — Sanity, Gatsby Preferred - Working familiarity with AI-first development tools such as Claude Code, Codex, or Cursor, and a pragmatic sense of when to use them - Experience writing automated tests with Playwright (or similar tools such as Cypress) and integrating them into CI - Comfortable translating Figma designs into production-grade UI, with a sharp eye for spacing, type, and interaction detail - Solid grasp of HTML, CSS (including Tailwind or CSS-in-JS), accessibility fundamentals (WCAG, ARIA), and responsive design - Experience integrating with REST and GraphQL APIs, including debugging with browser DevTools and network inspection - Familiarity with Git, pull-request-based workflows, and CI/CD systems such as GitHub Actions, Vercel, or Netlify - Ability to self-manage time, deliverables, and communication across async, distributed teams Communication - Write clear, concise updates and status reports to project managers and engineering leads on a regular cadence - Attend and actively contribute to project ceremonies including sprint planning, stand-ups, reviews, and retrospectives - Collaborate with designers and product during requirements and design reviews to flag feasibility and UX concerns early - Write thorough pull request descriptions, commit messages, and inline documentation - Accurately track and report time against tasks and tickets in Jira - Raise scope changes, blockers, or conflicting requirements promptly so timelines and priorities can be adjusted - Communicate technical concepts to non-technical stakeholders without jargon or hand-waving Tools & Technologies - Languages: TypeScript, JavaScript (ES2020+), HTML, CSS - Frameworks: Next.js, React, Gatsby - AI Tooling: Claude Code, Codex, Cursor, GitHub Copilot - CMS: Sanity, Gatsby - Styling: Tailwind CSS, CSS Modules, styled-components - APIs: REST, GraphQL, Postman, browser DevTools - Testing: Playwright, Cypress, Jest, React Testing Library - CI / CD: GitHub Actions, CircleCI, Vercel, Netlify - Project Mgmt: Jira, Linear, Confluence - Design: Figma (design review and handoff) - Cloud: AWS, Azure, Vercel - Other: Git, accessibility tools (axe, Lighthouse), Core Web Vitals

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Technical Project Manager will lead the planning, execution, and delivery of complex technical programs across multiple client engagements. This role requires strong technical acumen, excellent client communication skills, and deep expertise in Agile project management and Jira reporting. - Manage multiple concurrent technical projects from kickoff through delivery. - Lead complex programs involving cross-functional teams including engineering, product, design, and client stakeholders. - Establish clear project plans, timelines, and resource allocations. - Ensure alignment between business goals and technical execution. - Serve as a primary point of contact for C-suite and executive stakeholders. - Facilitate strategic planning discussions, roadmap reviews, and executive status updates. - Translate technical progress and risks into clear business language for leadership teams. - Drive Agile delivery practices including sprint planning, standups, backlog grooming, and retrospectives. - Partner with engineering leadership to remove blockers and maintain delivery momentum. - Ensure teams remain focused on priority outcomes while maintaining high quality standards. - Maintain project visibility and delivery metrics through advanced Jira reporting and dashboards. - Develop executive-level reports that track velocity, sprint progress, delivery risks, and resource utilization. - Use data insights to proactively manage project health and performance. - Identify risks early and implement mitigation strategies. - Manage scope, dependencies, and stakeholder expectations across programs. - Ensure documentation, communication, and governance standards are maintained across engagements. Qualifications - 7+ years of technical project management or program management experience. - Proven experience managing multiple projects simultaneously. - Experience leading complex, cross-functional technical programs. - Experience working directly with C-suite or executive leadership teams. - Strong expertise in Jira administration, reporting, and dashboard creation. - Experience managing Agile software development teams. - Preferred experience working in software development, digital product, or consulting environments. - Familiarity with enterprise platforms, APIs, cloud infrastructure, or SaaS platforms. - PMP, Scrum Master, or Agile certifications. Benefits - Work on innovative digital platforms and enterprise software. - Partner with high-profile clients and executive leadership teams. - Join a collaborative, engineering-driven culture focused on quality and impact. - Opportunity to lead large-scale technical programs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves providing clarity, organization, and steady leadership to fast-moving client work. - Serve as the operational anchor on accounts, helping work move forward smoothly - Keep teams aligned and ensure clients feel confident in operations - Lead day-to-day client communication and meetings - Translate strategic and behavioral insights into clear scopes, timelines, and deliverables - Ensure behavioral thinking is reflected in execution - Anticipate issues and resolve them early - Support new business efforts, including participating in pitches and operationalizing newly won accounts - Build and maintain clear timelines and status documentation - Drive accountability across strategy, behavioral psychology, creative, and media teams - Ensure deadlines are met and next steps are defined - Identify workflow gaps and recommend practical improvements - Onboard new client work smoothly with clear scope, timelines, and financial discipline - Monitor burn reports and track budget pacing - Flag scope creep and support margin discipline - Provide leadership with visibility into overall account health - Mentor and support junior team members - Operate independently while keeping leadership informed - Help establish and reinforce strong account management practices Qualifications - 5 to 8+ years of client service experience in an agency environment - Strong project management instincts and attention to detail - Ability to connect strategic thinking to execution - Highly organized with consistent follow-through - Comfortable tracking budgets and identifying financial risks - Calm under pressure and solution-oriented - Able to operate in a scrappy, evolving environment with minimal oversight - Collaborative, low-ego, and steady presence - Bonus: Experience improving internal workflows or processes Requirements - Remote work style, with preference for Central or Eastern time zones - In-office presence about once per quarter - Travel for client engagements, as needed What Success Looks Like - Strategic thinking is clearly translated into execution - Timelines are consistently met - Clients feel informed and confident - Workflows are organized and predictable - Budget pacing is visible and proactively managed - Leadership can focus on strategic growth rather than daily follow-ups

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves designing and building AI-driven data platforms to help organizations unlock the value in their data. - Design canonical data models for core business domains - Discover and interpret schemas across complex legacy datasets (like Databricks) - Reverse-engineer existing data structures and infer relationships across systems - Establish standardized naming conventions, data definitions, and source-to-canonical mappings - Collaborate with client data teams to understand data structures, calculated fields, and transformation logic - Design semantic layers and data governance frameworks - Provide architectural direction for downstream data models - Advise on ML-ready data products Qualifications - Strong data modeling and schema design experience (conceptual, logical, physical) - Experience with Databricks and/or Spark-based data platforms - Demonstrated ability to reverse-engineer undocumented schemas and infer entity relationships - Experience building canonical or enterprise data models in complex, multi-source environments - Semantic layer design experience (ideally with Power BI as the downstream consumer) - Comfortable working with business stakeholders to define data definitions and governance policies - Eager to learn AI tooling Requirements - Experience in regulated industries with complex data environments (strongly preferred) - Experience with Medallion Architecture (bronze/silver/gold patterns) (strongly preferred) - Familiarity with enterprise transaction and accounting systems (strongly preferred) - Experience with modern AI tool sets (strongly preferred) Environment Our client environments are managed with strict security controls and restricted internet access. You should be comfortable working within enterprise security constraints.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves leading the design and implementation of a data strategy and AI enablement engagement for a client. - Lead canonical data model design — entity-relationship models for core business domains - Oversee and interpret schema discovery across ~35 complex legacy Databricks datasets in a Medallion Architecture - Reverse-engineer existing data structures and infer relationships across systems - Establish standardized naming conventions, data definitions, and source-to-canonical mappings - Collaborate with the client's data team to understand data structures, calculated fields, and transformation logic - Design the semantic layer and data governance framework (Phase 2) - Provide architectural direction for digital origination data model (Phase 3) - Advisory input on ML-ready data products (Phase 4) Qualifications - Strong data modeling and schema design experience (conceptual, logical, physical) - Experience with Databricks and/or Spark-based data platforms - Demonstrated ability to reverse-engineer undocumented schemas and infer entity relationships - Experience building canonical or enterprise data models in complex, multi-source environments - Semantic layer design experience (ideally with Power BI as the downstream consumer) - Comfortable working with business stakeholders to define data definitions and governance policies - Eager to learn AI tooling Requirements - Financial services, lending, or banking data experience (strongly preferred) - Experience with Medallion Architecture (bronze/silver/gold patterns) (strongly preferred) - Familiarity with loan accounting systems or loan origination systems (strongly preferred) - Experience with modern AI tool sets (strongly preferred) Environment The client's environment is managed with strict security controls. Access is through VDI (Windows) RDP into a dedicated server Databricks. Internet access on work servers is limited. You must be comfortable working within these constraints.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves delivering a phased data strategy and AI enablement engagement for a client with 30+ datasets in Databricks. - Profile all 30+ datasets in Databricks: table structures, row counts, data types, distributions, refresh patterns - Document schemas with inferred relationships and primary/foreign key candidates - Assess data quality across dimensions: completeness, consistency, accuracy, freshness - Analyze historical data behavior — determine which datasets use snapshot vs. overwrite patterns - Support API and integration mapping (test data extraction capabilities) - Build standardized ingestion framework and data pipelines (Phase 2) - Implement data quality gates with automated validation and alerting (Phase 2) - Support workflow integration, feature engineering pipelines, and ML data products (Phases 3-4) Qualifications - Strong SQL and Python skills - Experience with Databricks (notebooks, Spark SQL, Delta Lake) - Hands-on data profiling, data quality assessment, and technical documentation - ETL/ELT pipeline development experience - Comfort working in locked-down enterprise environments with restricted internet access - Comfort with undocumented, messy data — you'll be making sense of datasets that have limited or no documentation - Eager to learn AI tooling Requirements - Financial services, lending, or banking data experience (strongly preferred) - Experience with Medallion Architecture (bronze/silver/gold patterns) (strongly preferred) - Familiarity with Power BI as a downstream consumer (strongly preferred) - Experience working within VDI-based access environments (strongly preferred) - Experience with modern AI tool sets (strongly preferred) Environment The client's environment is managed with strict security controls. Access is through VDI (Windows) RDP into a dedicated server Databricks. Internet access on work servers is limited. You must be comfortable working within these constraints.