Parser

Machine Learning Engineer

• Design, implement, and deploy Machine Learning models that power data-driven decision-making and document processing
• Focus on building reliable and scalable models while ensuring data quality and integration across distributed teams
• Develop and maintain Machine Learning models that enhance business processes, automate insights, and support predictive decision-making
• Design and implement feature engineering, model evaluation, and performance monitoring pipelines
• Translate business requirements into production-ready ML solutions, optimizing for scalability and maintainability within a Microsoft-based environment
• Integrate models with applications and APIs (primarily in .NET environments) to support automation and analytics use cases
• Develop robust data ingestion, cleaning, and preparation strategies to support independent model development
• Contribute to the definition and implementation of MLOps practices for model deployment, tracking, and retraining
• Work with AI and Engineering teams to ensure alignment between data, model design, and business goals

Senior Machine Learning Engineer

Backend Engineer

• Acts as a subject matter expert and provides guidance to full time staff on business requirements and implementation for web projects.
• Provides perspective to web projects, with respect to the design and implementation of the most optimal solution while taking into consideration infrastructure and security requirements, industry best practices, and engaged vendor roadmaps.
• Proactively identifies and implements refinements and improvements.
• Works closely with client IT staff to uncover areas for improvement; designs and recommends new product features and product enhancements.
• Reviews quality assurance plans and activities aimed at effectively testing and verifying systems and applications, guaranteeing their quality and security, and suggests improvements where identified.
• Develops and promotes standards, techniques, tools, and training materials to support assigned projects; creates documentation in a standard and organized manner for client IT and business staff alike.
• Participates in code review activities for web applications.

Senior Backend Drupal Engineer

Product Designer

• Provide design leadership within product delivery teams working closely with product managers, UX researchers, engineers, and data scientists.
• Lead the creation of user-centric experiences that meet a high-quality, industry-leading standard.
• Partner with product managers to translate requirements into user flows, wireframes, mock-ups, and prototypes that lead to an intuitive user experience.
• Assist the Product Design Principal or Product Design Manager with managing the design work within a product space, ensuring there are clear and solid communications with other teams.
• Validate designs with end users via common research best practices and techniques.
• Present designs and validated findings back to team members and stakeholders (internal and external).
• Evangelize systematization and reusability when designing your experiences, thinking of how you can lead the componentization and contribution of design decisions back to a design system.
• Articulate the value of design in your daily work with others outside of design.
• Lead design talks and process improvement workshops in partnership with the Product Design Principal and Manager.
• Support development and tracking of Key Performance Indicators (KPIs) for product.
• Provide mentorship and guidance to junior designers.

Frontend Engineer

• Design and implement user-friendly, responsive web interfaces using ReactJS, Vue.js, and other modern frontend technologies and frameworks.
• Ensure that UI/UX designs are accurately translated into functional and visually appealing web pages.
• Collaborate closely with Data Scientists to understand and translate complex model outputs into actionable insights on the user interface.
• Collaborate closely with backend developers to integrate APIs and ensure a seamless user experience across the application.
• Manage state effectively using tools like Redux, React Query, or similar ensuring the application’s data flow is clean and maintainable.
• Optimize web applications for performance (e.g., load times, responsiveness) and SEO best practices.
• Ensure Separation of Concerns (SoC) by organizing components and styles into logical, reusable units.
• Write modular, reusable, and maintainable code following the latest JavaScript and React best practices.
• Participate in code reviews, ensuring that coding standards are met and fostering a culture of knowledge sharing.
• Debug and troubleshoot frontend performance issues and cross-browser compatibility problems.

Senior Frontend Engineer

• Design, build and maintain APIs, services, and systems across Parser’s engineering teams.
• Work with engineers across the company to build new features at large scale.
• Improve engineering standards, tooling, and processes.

Senior Backend Engineer, Java, Kotlin

• Write high-quality, maintainable and testable code in Java, Kotlin, TypeScript, Python or other modern stacks.
• Build across the full stack — frontend web applications, backend services, APIs, and data flows.
• Work in a cross-functional Agile team, participating in all development phases from planning to production.
• Provide technical mentorship, conduct code reviews, and engage in architectural discussions.
• Continuously improve systems for scalability, performance, and resilience.
• Collaborate with stakeholders to shape product direction and make architecture decisions.

Senior Fullstack Engineer – Java/Kotlin, React

Technical Product Manager

• Lead the discovery and prioritization of cross-department AI use cases, translating them into clear user stories and acceptance criteria
• Define and enforce governance strategies, including Dev/Test/Prod environments, DLP policies, and compliance guardrails
• Manage data modeling, security, and integrations using Dataverse and various connectors
• Leverage Azure OpenAI and AI Builder to frame feasible solutions, identifying limitations and dependencies
• Ensure responsible AI practices and GDPR compliance, working closely with InfoSec and Legal teams
• Execute pilot-to-rollout strategies, including controlled testing, UAT, and change management
• Own the product backlog and roadmap, leading agile delivery with engineering and QA teams
• Define and track value and adoption metrics, adjusting scope based on evidence

Technical Product Manager – Power Platform, AI

Business Intelligence Developer

• Monitor and analyze key business metrics across delivery, utilisation, revenue, and margins to support operational and strategic decision-making.
• Build, maintain, and improve complex business models, reports, and dashboards using Google Sheets and Looker Studio.
• Support budget planning and forecasting processes, ensuring alignment across Finance, Delivery, and Operations teams.
• Identify risks, trends, and opportunities to improve profitability and efficiency.
• Help develop and refine scalable internal processes to strengthen cross-functional collaboration, across different geographies.
• Take ownership of ad-hoc analysis requests and deliver clear, actionable insights independently.

Business Intelligence Analyst

Data Engineer

• Data Pipeline Design, Implementation, Optimization and productionization in snowflake.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain datasets that support the needs and products.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Implementing processes oriented to improve quality, consistency, and reliability through the various pipelines (monitoring, retry, failure detection).

Senior Snowflake Data Engineer

DevOps Engineer

• Build and maintain Azure platform foundations, including networking, identity, secrets, runtime, and data services
• Own Infrastructure as Code (Terraform/Bicep), GitHub Actions pipelines, and golden paths/templates
• Implement observability (DataDog) across services; establish SLOs and alerting
• Provide developer experience tooling and environments; implement cost controls and security guardrails
• Use GitHub Copilot and Copilot Chat to draft and iterate on Terraform/Bicep/Pulumi, Helm charts, Kubernetes manifests (AKS), GitHub Actions workflows, and policy-as-code
• Configure and operationalize Copilot for day-to-day platform tasks (e.g., generating runbooks, PR descriptions, test scaffolding, scripts), and create reusable “recipes”/playbooks for the team
• Design for resilience and disaster recovery across critical infrastructure components; implement backup, failover, and recovery automation
• Implement secure secrets management with automated rotation, audit trails, and compliance alignment (e.g., Azure Key Vault, HashiCorp Vault)
• Enforce platform governance using policy-as-code (e.g., Azure Policy, OPA, Rego); ensure compliance with internal and external standards
• Design observability pipelines using OpenTelemetry, Azure Monitor, and DataDog; enable distributed tracing and root cause analysis
• Integrate platform security practices including threat modeling, vulnerability scanning, runtime hardening, and secure CI/CD
• Expose platform capabilities via APIs and self-service tooling; empower teams with reusable modules and automation recipes.

Senior Site Reliability Engineer

iOS Engineer

• Design, develop, and maintain scalable and well-structured native iOS applications.
• Lead the implementation of new features and improvements according to clean architecture and best practices.
• Continuously monitor application performance and user behaviour analytics to identify and solve issues.
• Collaborate with product, design, backend teams and other stakeholders to deliver high-quality features on time.
• Provide guidance and mentorship in iOS development practices and code quality.

Senior Mobile Engineer – iOS

• Design and develop complex Canvas and Model-Driven apps using Power Apps and Dataverse
• Create and optimize Power Automate cloud flows for enterprise-scale processes
• Implement Azure and Microsoft 365 integrations, including Azure Functions and Logic Apps
• Utilize AI capabilities, including Copilot Studio and Azure OpenAI integration
• Manage Power Platform ALM processes and implement CI/CD pipelines
• Ensure security, compliance, and observability best practices are followed
• Collaborate with stakeholders and provide clear documentation and knowledge transfer

Senior Backend Engineer – Power Platform, Power Apps

Director

• Oversee architecture, design, and implementation to ensure best-in-class solutions
• Identify opportunities, propose technical solutions, and enhance Parser’s presence within client organizations
• Build trust with key stakeholders, ensuring satisfaction and long-term engagement
• Lead, mentor, and manage technical teams, ensuring smooth onboarding, performance optimization, and career development
• Stay ahead of industry trends, contribute to Parser’s intellectual property, and represent the company at conferences
• Define technical standards, conduct client workshops, generate proposals, and develop Proof of Concepts (POCs) on cloud platforms
• Act as the first technical presence in new client engagements, leading farming and hunting initiatives

Technical Director

Full-stack Engineer

• Lead the design and development of Power Apps solutions (canvas and model-driven) and Power Automate flows
• Architect and implement Copilots and Agent Flows using Copilot Studio
• Design and manage Dataverse architecture, including data models, security roles, and business rules
• Oversee ALM processes and DLP policy implementation across Dev/Test/Prod environments
• Develop integrations with enterprise systems using standard and custom connectors
• Implement AI solutions using Azure OpenAI and AI Builder, ensuring safe and effective use
• Collaborate with data teams to integrate Power Platform solutions with Azure data services
• Ensure security and compliance standards are met, including GDPR and PII handling
• Optimize solution performance, reliability, and cost-effectiveness
• Establish quality assurance practices and mentor engineering team members
• Create comprehensive documentation and operational support models

Technical Leader – Architect

Data Scientist

• Design and develop reusable Python packages (pip/conda) to productionize data science solutions.
• Process big data at scale using Hadoop/Spark and optimize workflows with Airflow/orchestration tools.
• Build scalable applications and REST/RPC APIs (Flask/FastAPI/gRPC) for global products.
• Advocate for engineering best practices, including CI/CD, DevOps, and containerization (Docker/Kubernetes).
• Mentor junior engineers and lead initiatives to enhance research tooling and dashboards.

Senior Data Scientist

• Design, deploy, and maintain AWS-based infrastructure and services to ensure scalability, reliability, and security.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Manage container orchestration platforms such as Kubernetes (EKS) and ECS, and maintain CI/CD pipelines (ArgoCD, GitHub Actions).
• Configure and optimize networking services including VPCs, security groups, subnets, and routing.
• Implement and maintain compute, storage, and serverless services following security and performance best practices.
• Monitor and troubleshoot system issues using logs, monitoring tools, and incident management processes.
• Automate workflows and develop tools to improve deployment efficiency, infrastructure monitoring, and performance optimization.
• Write and optimize SQL queries and develop Python scripts to improve system performance.
• Ensure systems comply with cybersecurity standards and regulatory requirements for data security and privacy.
• Collaborate with stakeholders to translate product requirements into technical solutions and document infrastructure processes and best practices.

Senior DevOps Engineer

• Build, optimize, and maintain data pipelines and workflows in the cloud
• Design and implement datasets and models for analytics and BI consumption
• Ensure data governance, security, and quality across diverse datasets
• Automate data platform provisioning, deployment, and operations
• Implement and maintain CI/CD workflows to support reliable and scalable data operations
• Partner with teams to develop dashboards, reports, and insights for end users
• Collaborate on AI/agentic projects by enabling advanced data solutions

Senior Data Engineer

• You'll be responsible for creating and managing APIs, integrating various systems and ensuring seamless data flow across the organization.
• They will work closely with other developers, architects and business stakeholders to understand requirements and deliver high-quality integration solutions.
• The MuleSoft Developer should be proficient in Mulesoft Anypoint Studio, MuleSoft Anypoint Platform, including API Manager, Runtime Manager and Design Center.

Senior Backend Mulesoft Engineer

SDET

• Lead the automation testing efforts for the Match API platform and its constituent domain services
• Champion quality throughout the entire lifecycle and advocate continuous testing
• Advocate for best practices across disciplines, fostering a quality mindset within the whole engineering area
• Lead refinement sessions, covering acceptance tests, risks, and monitoring
• Review requirements to identify gaps, risks, and dependencies
• Ensure automation test frameworks are relevant, efficient, and resilient
• Collaborate with the team to find the root cause of issues and pair with engineers across teams to ensure adequate test coverage during development
• Help the team estimate test efforts and dependencies during planning and create a collaborative environment where quality is a team effort

QA Automation Lead

Accounts Payable

• Verify and amend invoices, send invoices for approval, create payments in the banking platform, and archive invoices.
• Obtain proper information required for invoice payments and create invoices in the accounting system with invoice number, date, supplier details, item description, amounts and coding per accounting policies.
• Respond to supplier inquiries and provide details regarding invoice items, prices or approvals when required.
• Obtain and maintain invoices, correspondence or supporting documentation necessary for record keeping and payment processing.
• Reconcile bank statements and accounts payable ledger; verify and investigate discrepancies and reconcile monthly vendor statements.
• Generate weekly and monthly reports detailing accounts payables status and reconcile supplier statements to the Accounts Payable ledger.
• Continuous improvement of the payment process and reconcile related tax liabilities and balances as part of the month-end close process.
• Perform weekly bank reconciliations and credit card transactions; assist with month-end close processes and post/process journal entries.
• Prepare and submit weekly/monthly reports like A/P & A/R.

Accounts Payable Analyst

• Lead the design and development of robust, scalable software applications
• Spearhead the integration of AI and machine learning capabilities into existing and new projects
• Develop and optimize code primarily using Python
• Architect and implement solutions leveraging AWS services
• Explore and implement Generative AI and Retrieval-Augmented Generation (RAG) systems
• Mentor junior developers and contribute to team growth
• Collaborate with cross-functional teams to define and implement technical strategies
• Stay current with emerging trends in AI, machine learning, and software development

Senior Fullstack Engineer, Python/TypeScript

• Lead the development of an innovative early warning system for financial institutions leveraging Gen AI to monitor and analyze financial risks
• Manage and lead a team of mid to senior-level developers
• Drive the product development process from conception to launch
• Conduct market research and gather user requirements
• Define product strategy and roadmap
• Collaborate directly with clients to understand their needs and gather feedback
• Implement data-driven decision-making processes
• Ensure the product meets high standards of quality and performance