ATPCO

Analyst

• Work closely with the business and development teams to understand product specifications and requirements.
• Design and implement automated and manual tests to ensure the product meets the highest quality standards.
• Create test plans, interpreting system requirements, executing test cases, and tracking quality assurance metrics.
• Demonstrate good ability to perform complex business research and supporting data by performing database queries across multiple databases as required and creating analytical reports across multiple products.
• Lead the testing team through all phases of test planning, including analysis, test case writing, test execution, test reporting, production installation, and project post mortem.
• Lead in the conceptualization, design, and implementation of test automation to increase testing accuracy and efficiency for assigned projects.
• Monitor and report the status of testing tasks, documenting issues, and working with project teams to resolve and/or escalate issues.
• Act as a subject matter expert in applicable areas of ATPCO business and systems and mentor others.
• Provide expertise in software testing methods and practices to project teams.
• Review and provide feedback for testing deliverables and providing oversight and guidance for testing activities.
• Foster positive working relationships across teams within and outside the QM department.

Senior Quality Analyst

Business Development Rep

• Learn the air travel industry utility landscape (e.g., IATA (BSP, ICH, SIS), ARC, ACH/A4A, UATP, etc.) and how they intersect with ATPCO across the airline ecosystem.
• Map relevant forums/working groups and where ATPCO intersects; maintain an at-a-glance org/interaction map.
• Stand up and maintain an Engagement Inventory & Taxonomy of ATPCO ↔ industry-utility touchpoints (purpose, cadence, owners, status, artifacts); enforce clear tagging and data hygiene.
• Normalize and organize agendas, minutes, and decisions in SharePoint; maintain a change-log and decision log.
• Draft 3–4 partnership theses (who, why now, expected value, first proof step) focused on quick wins → scalable bets.
• Propose and pilot a lightweight operating model (RACI, roles/hand-offs, cadence, intake form) with antitrust guardrails.
• Build a simple metrics dashboard tracking engagement coverage, signal → decision cycle time, and opportunity pipeline.
• Produce executive communications (2-page briefs + slides) ahead of key engagements, refresh on a regular cadence.
• Run stakeholder interviews, synthesize insights, and translate them into clear recommendations and next steps.
• Monitor adoption/quality of the “engagement office” and iterate based on feedback and measurable outcomes.

Business Development Intern

Full-stack Engineer

• Lead and contribute to the development of technical requirements and other design artifacts.
• Understand all enterprise architectural strategies and standards and ensure adherence to them in technical solutions.
• Promote successful delivery of customer value across the enterprise through efficient designs, programming techniques and strategies, utilizing innovative techniques where practical.
• Utilize an array of programming languages including Java, Python, Rust, Go, TypeScript.
• Use Open-Source RDBMS and NoSQL databases.
• Proficiently orchestrate containerization with Docker and Kubernetes, while harnessing the diverse toolkit of AWS services to architect robust solutions.
• Design and implement scalable solutions for large data volumes using Hadoop and Spark; develop and deploy machine learning models; build data pipelines; optimize algorithms; collaborate with teams to deliver data-driven insights.
• Develop and maintain software applications that interact extensively with various data stores, build data intensive software components to ensure efficient data flow and storage.
• Leads technical areas anticipating and resolving issues to meet team commitments.
• Able to manage multiple, complex tasks with a focus on delivering quality and timely results.
• Acts as a technical resource/lead to other applications developers.
• Collaborate with product managers to craft and deliver resilient cloud-based solutions that enhance user experiences.
• Translate technical concepts into accessible, non-technical language and tailor the communication to meet internal and external stakeholders' needs.
• Share your passion to remain abreast of the latest tech trends, eagerly experimenting with and mastering modern technologies, actively engaging in both internal and external technology circles.
• Shares technical, procedural, and business knowledge with others.
• Proactively present information in public forums to share knowledge and improve the productivity of others.
• Train and/or mentor other team members and peers as appropriate.
• Promote DevOps mindset and DevOps technical practices that support the integration, automation, and collaboration to develop and operate a solution.

Principal Software Engineer

Product Manager

• Lay out the vision and goals for the project feature within the overall product development team
• Act as the voice of the customer, representing their needs to the product development team
• Manage the product backlog diligently, prioritize deliverables, and provide context and business value to the team
• Assist in requirements definition, adjustments, and clarifications to create and maintain a feature roadmap
• Monitor and report on the project development status and keep track of metrics
• Support the team with product and market expertise, ensuring every team member understands the customer perspective
• Interact with technology stakeholders ensuring alignment between technology initiatives and business requests
• Backup product decisions by looking at product usage data to implement systems, logging, and dashboards

Product Owner

• Actively participate in the design, development, and testing of scalable and efficient applications using technologies like Rust, Go, Python, Java, and AWS
• Write clean, maintainable, and well-documented code, focusing on optimization and performance improvements
• Conduct code reviews to learn best practices and provide constructive feedback
• Apply algorithms and data structures to solve real-world engineering challenges
• Assist with debugging, profiling, and troubleshooting to improve system reliability and identify bottlenecks
• Write and maintain unit and integration tests to ensure application quality
• Developing observability metrics and dashboards to monitor team services
• Participate in agile processes such as standups, sprint planning, and retrospectives
• Showcase your work and present progress to team members and leadership
• Demonstrate curiosity and a willingness to learn and experiment with emerging technologies

Software Engineer Intern

Data Analyst

• Collect, clean, and analyze marketing and customer data across multiple platforms
• Design and maintain dashboards in Power BI and HubSpot to track KPIs and campaign impact
• Automate recurring reports and improve data accuracy and reporting workflows
• Analyze campaign results, customer journeys, and lead performance to identify trends and opportunities
• Translate data into actionable insights and recommendations for the marketing and leadership teams

Marketing Data Analyst Intern

Engineering Manager

• Lead and mentor multiple Engineering Managers and their teams, fostering collaboration, technical excellence, and accountability.
• Build a strong leadership bench that supports growth, performance, and alignment across all engineering functions.
• Define and maintain ATPCO’s technology roadmap, balancing modernization priorities with stability and customer reliability.
• Champion reliability and performance as foundational pillars of all software engineering efforts.
• Introduce and standardize engineering metrics to measure team performance and improvement.
• Develop and implement ATPCO’s AI strategy within the software development lifecycle.

Senior Manager, Software Engineering

Data Analyst, Reporting Intern

• Champion best engineering practices (e.g., Test-driven development, CI/CD, Microservices) within the team, ensuring all software development processes are optimized for quality, efficiency, and scalability.
• Collaborate with architects and senior engineers to design and implement scalable, resilient, and maintainable system architectures.
• Lead, mentor, and develop a team of engineers, fostering a culture of continuous improvement and professional growth.
• Build and maintain a high-performing engineering team, ensuring the right balance of skills, diversity, and experience to meet business goals.
• Work closely with product, design, and other engineering teams to deliver products that meet customer needs.
• Manage stakeholder expectations by providing regular updates on project status, risks, and opportunities.
• Oversee the operational health of all products within your team’s scope, ensuring high availability, security, and optimal performance.
• Continuously assess and improve software engineering and delivery practices and foster an environment of innovation and experimentation.

Manager, Software Engineering

Platform Engineer

• Support the Identity and Access Management (IAM) and platform engineering teams in enhancing enterprise security, automating workflows, and delivering robust user management solutions across our cloud infrastructure
• Contribute to the development and automation of IAM solutions using Python, Java, and Go
• Support integration of Azure B2C for secure external identity management across enterprise APIs and applications
• Build scripts and tools to automate identity provisioning, RBAC (Role-Based Access Control), and policy enforcement
• Participate in troubleshooting authentication/authorization issues across multi-cloud platforms (AWS, Azure)
• Assist with IAM governance tasks, including MFA policy design, conditional access, and privileged identity controls
• Collaborate with cross-functional teams to improve documentation, streamline onboarding processes, and monitor IAM systems
• Create dashboards and logs for identity audit, system performance, and security event tracking

Platform Engineer Intern

Data Engineer

• Build and optimize data pipelines, managing data storage and processing systems
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders to understand data requirements and deliver efficient high-quality data solutions
• Design modern schemas, data models, and pipelines that enable advanced analytics, machine learning, and real-time reporting
• Implement and manage real-time data streaming architectures using AWS services
• Ensure solutions facilitate secure data analysis and reporting
• Perform data profiling, cleansing, and transformation tasks
• Implement data security and privacy measures

Principal Data Engineer

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
• Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
• Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
• Implement and manage real-time data streaming architectures using AWS services like Amazon Kinesis or Apache Kafka to enable real-time data processing and analytics
• Perform data profiling, data cleansing, and data transformation tasks to prepare data for analysis and reporting
• Implement data security and privacy measures to protect sensitive and confidential data using AWS security services and features
• Design and implement data architectures following Data Mesh principles within the AWS environment, including domain-oriented data ownership, self-serve data infrastructure, and federated data governance
• Provide technical guidance and mentorship to junior data engineers, reviewing their work and ensuring adherence to best practices and standards

Senior Data Engineer

• Lead the team behind ATPCO’s Product Catalog platform
• Champion best engineering practices (Test-driven development, CI/CD, Microservices)
• Collaborate on system architecture with architects and senior engineers
• Lead, mentor, and develop a team of engineers; provide career development and performance management
• Build and maintain a high-performing engineering team
• Work closely with product, design, and other engineering teams to deliver products
• Manage stakeholder expectations with regular updates on project status, risks, and opportunities
• Oversee operational health of products ensuring high availability, security, and performance
• Continuously assess and improve software engineering and delivery practices

Software Engineering Manager

As a Software Engineer, you will design, build, and maintain scalable applications and services that power our core products, PriceEye and DemandView.
Build and maintain complex, scalable applications on the AWS cloud platform.
Collaborate with an Agile development team to design, develop, document, and test enhancements to core products.
Understand desired application capabilities and create thorough testing scenarios.
Diagnose issues and support fellow developers while driving improvements in engineering practices.
Leverage AI tools to supplement and accelerate coding productivity.

Software Engineer

• Lead and contribute to the development of technical requirements and other design artifacts while ensuring enterprise architectural strategies and standards are met.
• Promote successful delivery of customer value across the enterprise through efficient designs, programming techniques, and strategies, utilizing innovative techniques when necessary.
• Lead development, execution of implementation plans, and release management processes with all necessary groups
• Ensure all technical and development artifacts are complete and properly managed as required per the SDLC.
• Lead efforts to integrate design strategies, application specifications, development schedules, and user expectations into the appropriate artifacts.
• Provide technical leadership, guidance, and support to cross-functional teams on large-scale development efforts and to product teams on technologies used and components developed.
• Take a lead role in anticipating and managing technical issues, mitigating risks, escalating issues appropriately, and keeping all necessary parties informed.

Senior Software Engineer

• Lead and contribute to the development of technical requirements and design artifacts
• Ensure adherence to enterprise architectural strategies and standards
• Promote delivery of customer value through efficient designs and innovative techniques
• Adhere to ATPCO development standards and drive quality improvements
• Use Java, Python, Rust, Go, TypeScript; work with Open-Source RDBMS and NoSQL databases
• Orchestrate Docker and Kubernetes; leverage AWS services
• Design and implement scalable data solutions with Hadoop and Spark; build ML models and data pipelines
• Develop software interacting with various data stores and data-intensive components
• Lead technical areas, manage multiple tasks, serve as technical resource/lead
• Collaborate with product managers to deliver resilient cloud-based solutions
• Translate technical concepts to non-technical stakeholders; share knowledge; mentor others
• Promote DevOps practices to automate and operate solutions

• As a Data Engineer, you will be responsible for building and optimizing data pipelines, managing data storage and processing systems, and ensuring the availability, scalability, and reliability of our data platform. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders to understand data requirements and deliver efficient high-quality data solutions. We are seeking an accomplished individual to join our esteemed team of ATPCO data engineers, dedicated to tackling intricate data processing challenges within the Airline industry. This role offers an opportunity to work on cutting-edge solutions that involve handling hundreds of terabytes of data daily, leveraging the latest AWS services. You Will: · Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting · Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats · Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis · Implement and manage real-time data streaming architectures using AWS services like Amazon Kinesis or Apache Kafka to enable real-time data processing and analytics · Perform data profiling, data cleansing, and data transformation tasks to prepare data for analysis and reporting · Implement data security and privacy measures to protect sensitive and confidential data using AWS security services and features · Design and implement data architectures following Data Mesh principles within the AWS environment, including domain-oriented data ownership, self-serve data infrastructure, and federated data governance · Provide technical guidance and mentorship to junior data engineers, reviewing their work and ensuring adherence to best practices and standards

• As a Software Engineer Intern, you will work within a dynamic development team, contributing to the design and implementation of new applications.
• This internship offers a hands-on opportunity to participate in the agile development process and gain exposure to state-of-the-art technologies, including Java, Python, and AWS.
• Responsibilities: Actively participate in the design, development, and testing of scalable and efficient applications using Go, Python, Java, and AWS to develop modules to integrate with AI and ML applications.
• Stay updated on latest developments in AI, ML and related technologies, and contribute to the adoption of new tools or techniques in ongoing projects.
• Write clean, maintainable, and well-documented code, focusing on optimization and performance improvements.
• Conduct code reviews to learn best practices and provide constructive feedback.
• Apply algorithms and data structures to solve real-world engineering challenges.
• Assist with debugging, profiling, and troubleshooting to improve system reliability and identify bottlenecks.
• Write and maintain unit and integration tests to ensure application quality.
• Participate in agile processes such as standups, sprint planning, and retrospectives.
• Showcase your work and present progress to team members and leadership.
• Demonstrate curiosity and a willingness to learn and experiment with emerging technologies.