Job Description

About the Role :

UX Engineers at ATPCO are the synthesis of design and development. Accelerating our build-measure-learn process, they partner with UX designers, product managers, and full-stack engineers to build customer-centered interfaces that form the platform for industry innovation in airline retailing.

Senior UX Engineers at ATPCO must combine creativity, analytical skills, and expert knowledge of front-end technologies to develop web applications that deliver great product experiences. This role will focus on the 3Victors suite of products, which allow their customers to confidently make strategic pricing decisions leveraging the power of AI.

Key Responsibilities:

• Drive the front-end development on key applications, partnering closely with full-stack and backend engineering teams
• Deliver innovative, engaging prototypes using the latest in front-end technologies
• Design and build components for ATPCO’s in-house design system
• Advocate for end users and customer outcomes through all stages of the software development process
• Advise, collaborate with, and synthesize feedback from designers and UX researchers
• Articulate feasibility impact with non-technical team members
• Write documentation for both teammates and design system users
• Write automated unit, E2E, and visual regression tests
• Mentor junior UX engineers and peers
• Provide code review feedback with peers, sharing best practices
• Stay on top of tech trends and experiment with new technologies that may improve our UX engineering practice

Qualifications

• 5+ years of experience in front-end engineering
• Expert with JavaScript, Typescript, HTML, CSS
• Experience with one or more modern JavaScript framework (e.g., Angular, React, Svelte, Solid, Vue)
• Experience with contemporary design system principles, techniques, and tools
• Experience developing applications on a public cloud
• Understanding of human-computer interaction design
• Strong debugging and troubleshooting skills to resolve complex issues

Salary Range:  $ 102,000 - $114,000

*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location*

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Job Description

As a Senior Support Analyst, you are responsible for providing 24/7 monitoring and support for all ATPCO platforms and applications. This position is within the Technology Platforms Services team who manages the foundational platforms that our product teams consume to build, deploy and host scalable and reliable products and services. The platforms consist of our Private and Public cloud offerings while also offering 24/7 operations monitoring and support to maximize uptime for ATPCO products.  

You will: 

• Monitor all ATPCO environments, applications, platforms, and infrastructures, via consoles and other tools 

• Monitor all processes and scheduled jobs for both Mainframe and Distributed Systems environments like subscriptions and batch jobs and ensure that they are successfully completed 

• Manage incoming emails, phone calls, and ServiceNow tickets 

• Manage severity 1 and 2 incidents and outages, from initial troubleshooting, vendor engagement, outage communication and escalation, and call bridge management 

• Work with internal teams, external service providers, and vendors to ensure that service interruptions and issues are solved 

• Manage incidents and provide back-up to the shift leader 

• Provide timely support for ad-hoc requests such special processing requests (SPR), file transmissions, AFT/FTP re-transmissions and other customer requests 

• Prepare accurate and up-to-date turnover logs, documentation and reports regarding all NOC activities during the shift 

• Ensure timely execution of requests to remove, stop, start, or bounce any applications, servers, services, databases or any other components of ATPCO IT enterprise 

• Create documentation for the NOC to help maintain the Platform Support Services Knowledge database 

The Ideal Candidate: 

• Prior experience working in a NOC or 24/7 support environment 

• Prior experience providing enterprise-wide support, including OpenShift, private/public cloud and on-premise, mainframe and web-based systems support 

• Expertise in Linux shell commands, batch processing, job scheduling tools, and parsing logs for root cause analysis 

• Experience using ServiceNow or other ticketing applications 

• Familiarity with AWS monitoring tools (Amazon CloudWatch as well as other monitoring tools like Dynatrace, SolarWinds, Splunk, Grafana)  

• Familiarity with BMC Mainframe tools like MainView, CICS, IBM Job Control Language (JCL), TSO/ISPF/SDSF, IBM Mainframe NetView Access Services (NVAS)

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Job Description

Position Summary 

As the Senior Manager of Data Engineering, you will be accountable for delivering impactful data solutions that align with company objectives. This includes strong collaboration with product, and analytics teams, with a focus on data-driven impact and scalability. In this role, you will lead the data engineering team, ensuring seamless execution of data roadmaps and fostering engineering excellence. As a leader of leaders, you will mentor managers, team leads, and architects, empowering them to build high-performing teams dedicated to creating valuable data products. 

What will you do: 

• Work with Product and Analytics teams to define and implement a strategic data roadmap that includes advanced analytics and AI/ML capabilities. Champion data-mesh principles to enable decentralized ownership and accessibility across teams. 

• Design and oversee scalable, robust data architectures and ETL pipelines, leveraging AWS services like Redshift, Glue, and Lambda, ensuring support for machine learning, advanced analytics, and governance. 

• Partner closely with data scientists and analytics teams to create data infrastructures that support real-time analytics and ML model deployment, delivering actionable insights that drive business decisions. 

• Drive initiatives to enhance data security, stability, and governance, establishing frameworks that uphold quality, consistency, and regulatory compliance across ATPCO’s data ecosystem. 

• Mentor and lead multiple teams of data engineers and analytics professionals, fostering technical growth and a shared commitment to data quality. Encourage innovative approaches to data automation and performance tuning. 

• Continuously refine data engineering practices for efficiency and resilience, optimizing workflows and monitoring costs within the AWS environment, with a focus on scalable, automated data solutions. 

• Foster a culture that values innovation and experimentation, empowering teams to explore new techniques in data, analytics, and AI, including generative AI models. 

• Ensure the operational health and performance of data products in cloud environments, maintaining high availability, fault tolerance, and performance optimization across all services. 

• Establish a data lake, data mesh, and advanced data modeling-first approach, creating well-structured data practices with an API-driven methodology that improves usability and governance. 

• Own and lead internal data analytics platforms, collaborating with finance and operations to identify cost optimization opportunities, manage data product P&L, and establish benchmarks for data-driven outcomes. 

What will make you a great fit: 

• 7+ years of experience in data engineering roles focused on high-volume, complex data applications, with 5+ years in people leadership. 

• Proven ability to build and manage high-quality data products and infrastructure, with experience leading cross-functional teams in complex data environments. 

• Technical expertise in a wide range of AWS services, including Redshift, Glue, S3, Lambda, EMR, Kinesis, EC2, API Gateway, serverless technologies, and container services such as ECS and EKS, integrated with data orchestration tools. Proficiency in Python, SQL, or Scala, plus experience with ML frameworks. 

• Experience with database management (RDBMS, NoSQL, graph databases) and big data frameworks, including Apache Spark and Hadoop, showcasing your ability to design and optimize complex data architectures and process large-scale data efficiently. 

• Strong communication skills to align cross-functional teams and convey technical concepts to technical and non-technical stakeholders. 

• Familiarity with airline or travel industry data needs is advantageous. 

• Track record of fostering inclusive environments that encourage innovation, teamwork, and diverse perspectives. 

Other Preferred Qualifications: 

• Proficiency in cloud-native data services (AWS, Azure, GCP) and container tools (Docker, Kubernetes) for scalable data infrastructure. 

• Familiarity with cloud security best practices, ensuring the secure deployment and maintenance of data solutions. 

• Commitment to advancing data engineering and analytics practices, ensuring cutting-edge solutions. 

Salary Range:  USD $163,900 to $193,000

*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location*

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Job Description

About the Role:

We are looking for an experienced and visionary Senior Platform Engineer to lead the development and optimization of our AWS cloud infrastructure. In this role, you will leverage your deep expertise in cloud technologies, particularly AWS, to drive architectural decisions, automate infrastructure, and implement cutting-edge solutions to improve platform reliability, scalability, and performance. As a senior member of the team, you will collaborate closely with leadership, mentor junior engineers, and play a key role in shaping the future of our cloud strategy.

Key Responsibilities:

· Lead the design and implementation of highly available, scalable, and secure cloud infrastructure in AWS, ensuring alignment with business needs and best practices.

· Architect cloud solutions that are optimized for performance, security, and cost-efficiency, including multi-region, multi-account, and hybrid cloud architectures.

· Drive automation initiatives, building robust Infrastructure as Code (IaC) frameworks using tools like AWS CloudFormation, Terraform, or Ansible to automate the provisioning, scaling, and monitoring of cloud resources.

· Provide technical leadership and mentorship to platform engineers, guiding them in cloud best practices, security, DevOps methodologies, and problem-solving approaches.

· Collaborate with cross-functional teams including product, development, and security to ensure seamless integration of services and applications with the cloud infrastructure.

· Oversee the implementation and management of CI/CD pipelines, ensuring fast, reliable, and automated deployment processes.

· Lead complex troubleshooting and performance tuning efforts for cloud infrastructure and applications, ensuring the highest levels of reliability and performance.

· Implement security best practices for cloud infrastructure, including monitoring, logging, and incident response, working closely with security and compliance teams to maintain a secure cloud environment.

· Evaluate and integrate new AWS services and emerging cloud technologies to enhance platform capabilities and drive continuous improvement.

· Develop and enforce governance models for cloud environments, ensuring compliance with regulatory requirements and organizational policies.

· Act as the subject matter expert (SME) on AWS, providing guidance to executives and stakeholders on cloud strategy and infrastructure investments.

Qualifications:

· 10+ years of experience in cloud infrastructure design and management, with a strong focus on AWS.

· Expertise in architecting, implementing, and managing complex cloud environments, including large-scale, distributed systems.

· Proven experience withInfrastructure as Code (IaC), particularly with AWS CloudFormation, Terraform, or Ansible.

· Strong experience withLinux/Unix systems and automation through scripting languages such as Python, Bash, etc.

· In-depth knowledge ofnetworking, security, and cloud architecture best practicesin AWS environments, including VPC design, IAM, and encryption.

· Experience implementing and optimizing CI/CD pipelines with tools like Jenkins, AWS CodePipeline, or GitLab CI.

· Advanced proficiency withmonitoring, logging, and observability tools (CloudWatch, Datadog, Prometheus) to ensure infrastructure health and performance.

· Leadership and mentoring experience, with a proven ability to guide junior engineers and promote a culture of continuous learning.

· Excellent problem-solving and troubleshooting skills, with experience in root cause analysis of complex cloud issues.

· Strong collaboration and communication skills, with the ability to work with both technical and non-technical stakeholders.

Preferred Skills (Nice to Have):

· AWS Certified Solutions Architect (Professional), AWS Certified DevOps Engineer (Professional), or other advanced AWS certifications.

· Deep experience with Kubernetes, Docker, and container orchestration in the cloud.

· Expertise in multi-cloud or hybrid cloud strategies, including working with both AWS and other cloud platforms like Azure or Google Cloud.

· Experience with service mesh architectures (e.g., Istio, Linkerd) and microservices deployment in AWS.

· Hands-on experience withsecurity compliance frameworks (e.g., SOC2, HIPAA, ISO27001) and implementing security controls in cloud environments.

· Familiarity with serverless architectures using AWS Lambda and other AWS serverless services.

What We Offer:

· Opportunity to lead impactful projects on a large-scale AWS cloud infrastructure.

· Leadership role in the platform team, with the ability to shape cloud strategies and influence company-wide cloud adoption.

· Competitive compensation package, including bonuses and stock options.

· Continued access to AWS certification programs and advanced training resources.

· A collaborative environment that encourages innovation, ownership, and professional growth.

· Flexible work arrangements, including remote work options.

Salary Range: $126,000 - $140,000

*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location*

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