Particle41

• Develop and maintain web applications using a combination of front-end and back-end technologies. • Design responsive and user-friendly interfaces using modern JavaScript/TypeScript frameworks such as Next.js, React.js or Angular and front-end CSS frameworks like Tailwind and Bootstrap. • Implementing server-side logic and database integration using languages like Node.js, Python, or PHP and database technologies like ORMs, MySQL, MongoDB, or PostgreSQL will be an added advantage. • Write clear and concise documentation for APIs, including usage guides and code examples, to facilitate integration by internal and external developers. Basic understanding of Open API specifications. • Write clean, efficient, and well-documented code following industry best practices and coding standards. • Strong understanding of the Javascript ecosystem and architecture and integrations with popular third-party libraries. • Implement API authentication and authorization mechanisms, such as OAuth, JWT, or API keys, to ensure data security and privacy. • Collaborate with designers, product managers, and other stakeholders to gather requirements and translate them into technical solutions. • Participate in requirement analysis sessions to understand business needs and user requirements. • Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. • Work closely with Agile teams to deliver software solutions on time and within scope.

• Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. • Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. • Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. • Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). • Optimize models/solutions for performance, scalability, robustness and cost-efficiency. • Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. • Document model design, experiments, data provenance and solution rationale. • Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

• Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from diverse sources. • Build and optimize data storage solutions — data lakes and data warehouses — for efficient retrieval and processing. • Integrate structured and unstructured data from internal and external systems into a unified view for analysis. • Ensure data accuracy, consistency, and completeness through validation, cleansing, and transformation. • Maintain clear documentation for data processes, tools, and systems. • Build and maintain Tableau dashboards and reports that translate complex datasets into clear, decision-ready visuals. • Design data models and extracts optimized for Tableau performance, including live connections and published data sources. • Apply data visualization best practices — chart selection, layout, color, and interactivity — to produce client-ready output. • Partner with stakeholders to understand reporting needs and translate them into visual solutions. • Support ad hoc analysis using Tableau, Python-based charting (matplotlib, seaborn, plotly), or similar tools. • Support AI/ML workflows by building and maintaining the data pipelines that feed model training, inference, and evaluation. • Assist with data preparation for LLM and machine learning projects, including feature engineering, tokenization pipelines, and vector store integration. • Help teams adopt AI-assisted data tooling — copilots, intelligent search, automated reporting — by ensuring clean, well-structured data is available upstream. • Contribute to prompt engineering and evaluation frameworks where data context is a key input. • Work with product managers and stakeholders to gather requirements and translate them into technical solutions. • Provide technical input during requirements sessions to align data capabilities with business needs. • Participate in sprint planning, stand-ups, and sprint reviews. • Deliver solutions on time and within scope. Adapt when priorities shift. • Write unit and integration tests to validate pipeline reliability and data accuracy. • Identify and resolve defects, performance bottlenecks, and data quality issues. • Stay current with cloud platforms (AWS, Azure, GCP) and emerging data engineering tools. • Propose solutions to improve performance, security, and scalability.

• Engage with requirements and acceptance criteria before development begins, identifying gaps, ambiguities, and edge cases early. • Contribute to design and refinement discussions to flag testability and quality risks while they are still cheap to fix. • Collaborate with stakeholders to define test objectives, scope, and approach aligned to project milestones. • Write and maintain automated test suites spanning UI, API, contract, and integration layers using TypeScript and Puppeteer (or equivalent tools). • Contribute to framework improvements and scaling of automation coverage across the feature area. • Use AI tooling consistently for test design, test data generation, edge-case identification, and debugging and critically evaluate AI outputs before incorporating them. • Stay current with evolving AI testing tools and advocate for their adoption where they improve coverage or efficiency. • Run security testing tools and a11y checks; interpret and report findings, applying OWASP Top 10 and basic manual accessibility validation (keyboard, contrast, screen reader). • Maintain quality gates in the CI/CD pipeline and ensure automated suites run reliably on every build. • Monitor production alerts and dashboards post-deployment; own post-deploy validation to confirm releases meet quality expectations. • Document defects with detailed descriptions, reproduction steps, expected vs actual results, and severity classification. • Collaborate with development teams to investigate, troubleshoot, and verify defect resolutions against acceptance criteria. • Track, analyse, and report on feature-level quality metrics (defect escape rate, test coverage, automation pass rates); maintain well-organised test documentation for team and stakeholder access. • Translate quality findings into customer-impact language, what's broken for users, who feels it first, and what changes when we fix it -not just defect counts, test pass rates, or coverage numbers. • Actively participate in sprint planning, refinement, and stand-ups, raising quality and testability risks early in each cycle. • Partner with product managers, developers, and DevOps to ensure quality is built in across the delivery lifecycle, not bolted on at the end. • Support the onboarding of junior QA team members and share knowledge and best practices across the team.

• Build, test, and deploy features for our SaaS web applications • Read, analyze, and improve existing codebases • Ensure code quality, scalability, and maintainability • Identify and fix vulnerabilities, inefficiencies, and poor architecture • Establish and enforce development best practices and standards • Design systems and features with long-term scalability in mind • Make decisions on frameworks, tools, and structure • Evaluate AI-generated code for accuracy and quality before implementation • Optimize performance and system reliability • Own development timelines and deliverables • Break down projects into clear tasks and milestones • Collaborate with internal team members (marketing, ops, leadership) • Ensure projects move forward proactively without constant oversight • Use tools like Claude and Abacus to accelerate development where appropriate • Prompt effectively and refine outputs • Validate and improve AI-generated code (not blindly trust it) • Manage code through GitHub workflows • Deploy and maintain applications via Vercel (or similar platforms) • Handle integrations, APIs, and third-party tools • Troubleshoot bugs, outages, and performance issues

• Build, test, and deploy features for our SaaS web applications • Read, analyze, and improve existing codebases • Ensure code quality, scalability, and maintainability • Identify and fix vulnerabilities, inefficiencies, and poor architecture • Establish and enforce development best practices and standards • Design systems and features with long-term scalability in mind • Own development timelines and deliverables • Use tools like Claude and Abacus to accelerate development where appropriate • Manage code through GitHub workflows • Troubleshoot bugs, outages, and performance issues

• Own the full application lifecycle—backend APIs, frontend UI, database schema, CI/CD pipelines, and production infrastructure on AWS • Design, develop, and ship new features across the Java/Spring Boot backend and Angular frontend • Manage and optimize our PostgreSQL database, including schema migrations (Liquibase), query performance tuning, and data integrity • Maintain and improve AWS infrastructure: EC2, RDS, S3, CloudFront, and related services • Collaborate directly with the founder to translate business requirements into technical solutions • Improve code quality through testing, code reviews, refactoring, and documentation • Troubleshoot and resolve production issues quickly and thoroughly • Evaluate and adopt modern tools, frameworks, and practices to keep the platform competitive • Leverage AI-powered development tools (e.g., Claude, GitHub Copilot) to accelerate delivery and improve code quality

• Take ownership of technical projects and drive them to completion. • Build and launch funnels, checkout pages, opt-in pages, and websites. • Implement automations, tagging, workflows, and integrations across platforms. • Manage CRM setup, maintenance, and optimization. • Coordinate with team members to ensure projects move forward on schedule. • Set up and manage product launches, event tech, and campaign builds. • QA all builds to ensure accuracy, functionality, and user experience. • Troubleshoot technical issues quickly and find solutions independently. • Build and maintain systems in Ontraport, GoHighLevel, ClickFunnels, WordPress, Zapier, and related tools. • Organize and track work inside Asana and ensure tasks are completed. • Improve existing systems and recommend better solutions. • Maintain strong attention to detail across all technical work. • Ensure all projects are finished fully — not partially complete.

• Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. • Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. • Create and maintain comprehensive documentation for systems, processes, and configurations. • Design, implement, and manage automation processes for software build, deployment, and configuration. • Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. • Manage and maintain Azure cloud infrastructure to ensure scalability, reliability, and security. • Implement infrastructure as code (IaC) using tools such as Terraform, ARM Templates, and others. • Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. • Develop and implement monitoring solutions using Azure Monitor, Application Insights, and Log Analytics to ensure the health and performance of systems and applications. • Proactively identify and address issues related to system performance, reliability, and scalability. • Implement and maintain security best practices in infrastructure and application deployment including Azure AD, Key Vault, and Network Security Groups. • Ensure compliance with regulatory requirements and company security policies. • Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages. • Participate in on-call rotation to respond to and resolve critical incidents.

• Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. • Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. • Create and maintain comprehensive documentation for systems, processes, and configurations. • Design, implement, and manage automation processes for software build, deployment, and configuration. • Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. • Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. • Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. • Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. • Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. • Proactively identify and address issues related to system performance, reliability, and scalability. • Implement and maintain security best practices in infrastructure and application deployment including IAM, Security Command Center, and VPC Service Controls. • Ensure compliance with regulatory requirements and company security policies. • Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages. • Participate in on-call rotation to respond to and resolve critical incidents.