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swagbucks.comHQ: El Segundo, California, United States

Swagbucks is the web's leading rewards program that gives its over 19 million members free gift cards for their everyday activities and purchases online. Swagbucks members search, shop, watch videos, take surveys and more, earning points that are redeemable for gift cards to major retailers including Amazon and Walmart. Swagbucks has rewarded more than $130 million in gift cards to its members and counting. Swagbucks also empowers hundreds of retail partners like Amazon, Walmart, Target and many more, as well as premium content providers like AOL and Hulu, to reach Swagbucks' active audience. Headquartered in El Segundo, CA, Swagbucks is a subsidiary of Prodege, LLC.

Sector:advertisingcomputer programmingconsumer internetconsumersdata processing

All Openings (6)

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Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Job Summary Advanced experience in designing, writing program code, testing, documenting, and implementing functionally appropriate, technically sound, and well-integrated application systems in accordance with Customer requirements, organizational methodologies, and standards. Identifies and prevents production problems and implement immediate resolution efforts across technology areas. Mentoring Software Engineers, holistic vision of organization and impact, focusing on “shift left” activities. Responsibilities Drive the technical direction and feature roadmap of large-scale cloud systems Serve as a technical lead contributing to and directing the efforts of development teams, including internal and external team members Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Drives detailed definition of feature requirements through discussions with product managers and customers Supports continuous improvement by investigating alternatives and new technologies Prepares and installs solutions by determining and designing system specifications, standards, and programming Evaluates code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems Mentor Software Engineers to allow for skill/knowledge development through advice, coaching, and training opportunities Update job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations May perform other job duties as directed by Employee's Leaders Strong Python software development and backend engineering (5+ years) Experience building APIs, microservices, event-driven solutions, and distributed applications AWS cloud-native application development and deployment on AI/ML. Observability, monitoring, logging, tracing, and production support experience Software engineering best practices including testing, CI/CD, code reviews, and DevOps Build core platform capabilities for telemetry ingestion, evaluations, recommendation engines, and observability. Develop scalable services, APIs, integrations, and reusable platform components. Drive engineering excellence through high-quality design, testing, reliability, and operational ownership. Knowledge, Skills and Abilities Advanced knowledge of software development methodologies, practices, concepts, and technologies obtained through formal training and / or work experience Proactively shares knowledge and skills of software development and testing to solve a range of problems Advanced knowledge of at least one required programming language Excellent partnering, communication, negotiation skills, and execution in working with various Technology or partner Teams Ability to articulate (verbally / visually) ideas, approach, concepts, options, risk, impact, and provides guidance to technical, non-technical, and Leadership audiences Ability to lead multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work Ability to mentor others Ability to lead ideating, presentations, mentoring and group-thinking sessions Ability to influence without authority Strong Python software development and backend engineering (5+ years) Experience building APIs, microservices, event-driven solutions, and distributed applications AWS cloud-native application development and deployment on AI/ML. Observability, monitoring, logging, tracing, and production support experience Software engineering best practices including testing, CI/CD, code reviews, and DevOps Agentic AI frameworks and orchestration platforms OpenTelemetry implementation experience React/TypeScript GenAI evaluation frameworks and prompt engineering Education Required: Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training Experience Required: Advanced-level experience, seasoned and specialized knowledge in: Software development and methodologies 5-7 years of relevant work-related experience Strong Python software development and backend engineering (5+ years) Experience building APIs, microservices, event-driven solutions, and distributed applications AWS cloud-native application development and deployment on AI/ML. Observability, monitoring, logging, tracing, and production support experience Software engineering best practices including testing, CI/CD, code reviews, and DevOps Preferred Experience Agentic AI frameworks and orchestration platforms OpenTelemetry implementation experience React/TypeScript GenAI evaluation frameworks and prompt engineering Other Qualifications Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information Ability to work extended hours as needed Ability to work onsite approximately 3 days per week and as required by the business. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Software Engineering
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Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Job Summary Lead and motivate a Team of developers in the planning, delivery, and operation of highly reliable software. Accountable for the technical quality of the software that the Development Team produces and closely collaborates with the Business and other Stakeholders to ensure software meets functional and non-functional expectations. Act as an interface between the Development Team and Leadership, ensuring capacity and skillsets are aligned to meet ongoing delivery expectations. Time is allocated across Project Leadership, Technical Leadership/Mentoring, and Software Development/System Engineering. Responsibilities Provide accurate development estimates in support of feasibility assessments and planned development activities Create, maintain, review and approve application designs in collaboration with Solution Architects and shared services Teams, ensuring alignment to the appropriate solution architectures and taking tradeoffs into account Develop, maintain, and review software with a focus on quality and maintainability Develop, maintain, review, and execute unit, functional, and integration tests with a focus on automation and test-driven development Provide technical oversight for performance testing, ensuring plan and outcomes align to expected non-functional requirements Plan and oversee application deployment activities and sequencing in non-production and production environments Investigate new technologies that could improve the applications and development activities Identify and resolve technical debt as appropriate, weighing the development effort against the value returned Mentor and coach Development Team on relevant architecture, design, development, and operations topics Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems May perform other job duties as directed by Employee's Leaders Architecture and development of large-scale cloud-native platforms and distributed systems (8+ years). AI/ML knowledge. Expert Python and backend engineering including APIs, microservices, event-driven architectures, and system design Strong AWS expertise across Lambda, ECS/EKS, S3, EventBridge, Step Functions, IAM, CloudWatch, and security Deep experience in observability, telemetry, logging, tracing, OpenTelemetry, monitoring, and Site Reliability Engineering Technical leadership, CI/CD, DevSecOps, architecture governance, performance optimisation, and mentoring Own the end-to-end platform architecture for telemetry, evaluations, observability, and Agentic AI Recommendations Platform. Lead engineering standards, technical direction, scalability, security, reliability, and platform evolution. Mentor engineers and drive adoption of modern cloud, AI, and observability engineering practices Knowledge, Skills and Abilities Advanced knowledge of software development methodologies, practices, concepts, and technologies Advanced knowledge of at least one programming language and at least general knowledge of one or more additional programming languages Knowledge of project management methodology and principles Ability to demonstrate strong analytical and problem-solving abilities with a proactive mindset to get ahead of issues Skilled in communication with ability to articulate a clear direction and priorities on ideas, approaches, concepts, options, risks, impacts, and recommendations to technical, non-technical, and Leadership audiences with ability to adapt the message accordingly Ability to articulate the technical implementation and how it provides business value Ability to lead ideation, presentation, and group-thinking sessions Ability to influence effectively without authority up through Senior Leadership levels to achieve desired business outcomes Ability to lead multiple efforts concurrently, whether administrative or project related, while maintaining a successful level of completion in their own work Ability to work in a fast-paced, Team-based, Customer service-oriented environment Architecture and development of large-scale cloud-native platforms and distributed systems (8+ years). AI/ML knowledge. Expert Python and backend engineering including APIs, microservices, event-driven architectures, and system design Strong AWS expertise across Lambda, ECS/EKS, S3, EventBridge, Step Functions, IAM, CloudWatch, and security Deep experience in observability, telemetry, logging, tracing, OpenTelemetry, monitoring, and Site Reliability Engineering Technical leadership, CI/CD, DevSecOps, architecture governance, performance optimisation, and mentoring Agentic AI and LLM application architectures LangGraph, LangChain, MCP Frameworks Kafka, Kinesis, Streaming architectures Grafana, Datadog, Prometheus, PagerDuty Education Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training Experience Required: Expert level experience, expansive and far reaching knowledge in software engineering 8-10 years of relevant work-related experience Architecture and development of large-scale cloud-native platforms and distributed systems (8+ years). AI/ML knowledge. Expert Python and backend engineering including APIs, microservices, event-driven architectures, and system design Strong AWS expertise across Lambda, ECS/EKS, S3, EventBridge, Step Functions, IAM, CloudWatch, and security Deep experience in observability, telemetry, logging, tracing, OpenTelemetry, monitoring, and Site Reliability Engineering Technical leadership, CI/CD, DevSecOps, architecture governance, performance optimisation, and mentoring Preferred Experience Agentic AI and LLM application architectures LangGraph, LangChain, MCP Frameworks Kafka, Kinesis, Streaming architectures Grafana, Datadog, Prometheus, PagerDuty Other Qualifications Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information Ability to work extended hours as needed Ability to work onsite approximately 3 days per week and as required by the business. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Engineering Management
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Data Engineer - AI & Analytics

On-sitefull timeMid-LevelIndia
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Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Job Summary Work with limited supervision to support data engineering and data analytics solutions. Provide design guidance and implementation for end-to-end analytic solutions. Coordinate with SWA focused groups to create unique data infrastructure, run tests on their designs to isolate errors and update systems to accommodate changes in company needs Responsibilities Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues Generate or adapt equipment and technology to serve user needs May perform other job duties as directed by Employee's Leaders Advanced SQL development, data modelling, performance tuning, and enterprise-scale analytical datasets. Advanced Python development for reusable data frameworks, automation, testing, and production-grade engineering Design and ownership of scalable ETL/ELT architectures, data lake, lakehouse, and enterprise integration patterns. Advanced AWS data engineering experience across Glue, S3, Athena, Redshift, EMR, Kinesis, Step Functions, Airflow/MWAA, security, and reliability. Data quality, governance, APIs, CI/CD pipelines, observability, automated testing, and production support leadership Lead scalable enterprise data engineering foundations supporting Agent Observability, Ops Enablement, and future autonomous operations. Own telemetry ingestion, data processing pipelines, evaluation datasets, and reusable data engineering frameworks on AWS. Serve as the technical partner across Product, AI, Operations, and Engineering teams while improving platform reliability, governance, and scalability. Knowledge, Skills and Abilities Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems Ability to understand new information for both current and future problem-solving and decision-making Skilled in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions Ability to recognize when an issue has occurred or is likely to occur, without needing to diagnose or resolve the problem. Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events) Ability to switch efficiently between multiple tasks or information sources, such as spoken instructions, system alerts, or data inputs. Ability to organize data or actions in a defined sequence or structure based on specified rules or patterns (e.g., numerical, textual, visual, or mathematical sequences). Ability to recognize defined patterns—such as shapes, words, or signals—even when they are embedded within distracting or complex information. Advanced SQL development, data modelling, performance tuning, and enterprise-scale analytical datasets. Advanced Python development for reusable data frameworks, automation, testing, and production-grade engineering Design and ownership of scalable ETL/ELT architectures, data lake, lakehouse, and enterprise integration patterns. Advanced AWS data engineering experience across Glue, S3, Athena, Redshift, EMR, Kinesis, Step Functions, Airflow/MWAA, security, and reliability. Data quality, governance, APIs, CI/CD pipelines, observability, automated testing, and production support leadership Databricks and Apache Spark Iceberg, Delta Lake, and Hudi Kafka, Kinesis, and streaming architectures AI/GenAI telemetry, vector databases, RAG analytics, QuickSight, or Grafana Education Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training Experience Required: Intermediate level experience, fully functioning broad knowledge in: Cloud infrastructure, DataLake ETL experience ensuring source to target data integrity Various filetypes (Delimited Text, Fixed Width, XML, JSON, Parque). ServiceBus, setting up ingress and egress within a subscription, or relevant AWS Cloud services administrative experience. Unit Testing, Code Quality tools, CI/CD Technologies, Security and Container Technologies Agile development experience and Agile ceremonies and practices 2-5 years of relevant work-related experience Advanced SQL development, data modelling, performance tuning, and enterprise-scale analytical datasets. Advanced Python development for reusable data frameworks, automation, testing, and production-grade engineering Design and ownership of scalable ETL/ELT architectures, data lake, lakehouse, and enterprise integration patterns. Advanced AWS data engineering experience across Glue, S3, Athena, Redshift, EMR, Kinesis, Step Functions, Airflow/MWAA, security, and reliability. Data quality, governance, APIs, CI/CD pipelines, observability, automated testing, and production support leadership Preferred Experience Databricks and Apache Spark Iceberg, Delta Lake, and Hudi Kafka, Kinesis, and streaming architectures AI/GenAI telemetry, vector databases, RAG analytics, QuickSight, or Grafana Other Qualifications Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information Ability to work extended hours as needed Ability to work onsite approximately 3 days per week and as required by the business. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Data Engineering & BI
VerifiedToday

Summer 2027 Data Engineer Internship

On-siteinternshipInternshipDallas, United States
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Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Summer 2027 Data Engineering Internship Please print/save the job description because it won’t be available after you apply. To be considered, please ensure that you attach a resume to your application. We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Southwest Airlines is committed to providing Employees with equal opportunities for learning and personal growth. As a Technology Intern, you’ll contribute to real-time projects, collaborate with fellow interns and cross-functional teams, help advance Company initiatives, and support Southwest’s Purpose of connecting People to what’s important in their lives through friendly, reliable, and low-cost air travel. Throughout the internship, you’ll have the opportunity to learn, grow, and develop as a future professional while making a meaningful impact. The Data Engineering Intern should be a strong communicator and collaborator, capable of presenting ideas in both technical and user-friendly terms while helping shape the future of Southwest’s Technology Team. If hired, Intern may be selected to support projects on the following Team: Enterprise Data Enablement The Enterprise Data Enablement team builds and maintains the real-time data platforms that power critical Southwest Airlines operational systems. This team integrates flight operations data, including schedule updates, gate and baggage information, aircraft fuel data, and other operational events, into a unified, reliable data ecosystem. Their work supports the flight status experience on Southwest.com as well as data-driven decision making across more than 15 enterprise applications. The team develops solutions that provide visibility into airport ground equipment, helping improve operational efficiency, accelerate aircraft turnaround times, and enhance on-time performance. The team partners across Air Operations, Ground Operations, and other cross-functional business domains to deliver scalable data products and enable real-time insights throughout the organization. Additional Details Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel). Interns will be provided any required equipment, such as a laptop, for the internship. Stipends may be offered based on eligibility and program criteria. The Intern will work full-time as a Data Engineering Intern within the Technology Department. This role is offered as a remote workplace position, which may require travel for trainings, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location, away from our Corporate Campus. Please note, while this is a remote position, there is limited group of states or localities ineligible for Employees to regularly perform their work off-site. Those ineligible locations are: Alaska, California, Colorado, Delaware, Illinois, Iowa, Massachusetts, Maryland, Montana, New Jersey, New Hampshire New York, North Dakota, South Dakota, Oregon, Pennsylvania, Vermont, Washington, West Virginia, and Wyoming, and Puerto Rico. U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We are committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Duties and Responsibilities The duties and responsibilities of the Data Engineering Intern may include but are not limited to: Support testing of data pipelines and integrations (e.g., between People and Training applications, such as Workday and Cornerstone). Assist to isolate errors in data flow or transformation logic and document findings. Contribute to automating manual processes such as training assignment tracking, report generation, or data syncing between systems. Build or update dashboards and reports using tools like Tableau or Alteryx to reflect data from both LMS (eLearning Platform) systems. Document technical processes, data definitions, and system behaviors during the transition of Learning Management systems (LMS). Assist in monitoring data quality, flag duplicates or inconsistencies, and support cleanup efforts. Participate in user acceptance testing (UAT) for LMS features and reporting tools. Conduct and participate in quality control activities and provide meaningful feedback. Knowledge, Skills, and Abilities Coursework or hands-on experience with programming and scripting languages such as Python, SQL, JavaScript, HTML, and CSS. Coursework or experience with AWS cloud services and infrastructure, including S3, Lambda, Fargate, Aurora, Athena, and Redshift. Coursework or experience with data visualization, reporting, and business intelligence tools such as Power BI, Tableau, or similar platforms. Coursework or experience with SQL development, query optimization, and relational database management systems. Coursework or experience with data warehousing and data lake architectures. Coursework or experience with data integration, ETL/ELT processes, and data pipeline development. Coursework or experience with structured and semi-structured data formats, including XML, XSLT, XPath, JSON, and data transformation principles. Coursework or experience with Agile or Scaled Agile (SAFe) methodologies Ability to stay organized and manage multiple and concurrent assignments under tight deadlines preferred Previous internship or work experience as a Data Engineer Intern within the past 12 months preferred Ability to work effectively in a fast-paced, team-based, Customer service-oriented environment with a high regard for hospitality Demonstrate programming aptitude and ability for logical and abstract thinking Problem solving ability and strong written/verbal communications skills preferred Works well in a culture that is open, direct, respectful, courteous, and compassionate preferred. Time Commitment and Pay Join Southwest as a Summer 2027 Intern, with a 12-week internship lasting from May 18 – August 8, 2027. Required: Full-time 40hrs a week. Must maintain a consistent weekly schedule during normal business hours at a max of 8hrs per day. $26 - $30 /hour, corresponding with progress towards degree completion Education High School Diploma, GED or equivalent education required. Progress towards degree, major, or minor in MIS, Business, Computer Science, Computer Engineering, Information Systems or Information Technology, Data Analytics, Statistics, Economics, Finance, Business Administration or similar degree. Progress towards a 4-year undergraduate degree or graduate degree is required. To be eligible, you must be currently enrolled as a full-time student (as defined by your university) at the time of application and during the internship. 1-2 semesters remaining at the time the internship ends is preferred. Minimum 2.5 cumulative GPA at the time of application is required. Basic Qualifications Must be at least 18 years of age. Must have authorization to work in the United States as defined by the Immigration Reform Act of 1986. You must have a valid U.S. Social Security Number to complete the full hiring process. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Data Engineering & BI
VerifiedToday

Summer 2027 Cybersecurity Engineer Internship

On-siteinternshipInternshipDallas, United States
Apply Now

Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Summer 2027 Cybersecurity Engineering Internship s Please print/save the job description because it won’t be available after you apply. To be considered, please ensure that you attach a resume to your application. We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Southwest Airlines is committed to providing Employees with equal opportunities for learning and personal growth. As a Technology Intern, you’ll contribute to real-time projects, collaborate with fellow interns and cross-functional teams, help advance Company initiatives, and support Southwest’s Purpose of connecting People to what’s important in their lives through friendly, reliable, and low-cost air travel. Throughout the internship, you’ll have the opportunity to learn, grow, and develop as a future professional while making a meaningful impact. The Cybersecurity Engineering Intern should be a strong communicator and collaborator, capable of presenting ideas in both technical and user-friendly terms while helping shape the future of Southwest’s Technology Team. If hired, Interns may be selected to support one of the following Teams: Identity and Access Management The Identity and Access Management (IAM) Team develops and supports the solutions that manage digital identities and secure access to applications, systems, and data across Southwest. As a Cybersecurity Engineer Intern, you will gain hands-on experience supporting modern identity governance and administration initiatives while working with enterprise identity platforms, automation, and access management technologies. You'll collaborate with Cybersecurity Engineers and Technology Teams to help improve identity lifecycle management, streamline legacy processes, and enhance security through automation and AI-driven capabilities. This internship provides valuable exposure to identity and access management practices and demonstrates how secure, efficient access enables and protects enterprise technology operations. Cloud Cyber Security The Cloud Cyber Security Team engineers and secures the cloud platforms and services that support Southwest's technology ecosystem. As a Cybersecurity Engineer Intern, you will gain hands-on experience helping design, implement, and support cloud security solutions that enable secure and scalable technology delivery. You'll collaborate with Cybersecurity Engineers and Technology Teams while gaining exposure to cloud security controls, infrastructure security, automation, secure development practices, threat detection, and security monitoring. This internship provides valuable exposure to modern cloud security engineering and demonstrates how technology enables the secure delivery of critical business and operational capabilities across Southwest. Additional Details Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel). Interns will be provided any required equipment, such as a laptop, for the internship. Stipends may be offered based on eligibility and program criteria. The Intern will work full-time as a Cybersecurity Engineering Intern within the Technology Department. This role is offered as a remote workplace position, which may require travel for trainings, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location, away from our Corporate Campus. Please note, while this is a remote position, there is limited group of states or localities ineligible for Employees to regularly perform their work off-site. Those ineligible locations are: Alaska, California, Colorado, Delaware, Illinois, Iowa, Massachusetts, Maryland, Montana, New Jersey, New Hampshire New York, North Dakota, South Dakota, Oregon, Pennsylvania, Vermont, Washington, West Virginia, and Wyoming, and Puerto Rico. U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We are committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Duties and Responsibilities The duties and responsibilities of the Cybersecurity Engineering Intern may include but are not limited to: Under supervision, may be responsible for vendor management, partner governance, and system oversight to deploy, monitor, and maintain secure solutions throughout their lifecycle. Work with a Team to research issues, plan and recommend solutions, and support the coordination of system and software developments. This includes monitoring performance, identifying bottlenecks, and collaborating with partners to implement fixes. Help ensure high system and infrastructure availability levels by addressing and resolving low-to-medium complexity escalations. Support the implementation and ongoing updates of platform strategies and roadmaps to strengthen security posture. Stay informed of emerging technology trends and best practices relevant to cybersecurity and system operations. Contribute to team projects by meeting deadlines, fulfilling commitments, and delivering quality results. Knowledge, Skills, and Abilities Coursework or experience with AWS Cloud services and infrastructure, including S3, Lambdas, Dynamo, Event Bridge, ECS, and Kinesis Coursework or experience with IAM framework Coursework or experience with SailPoint Identity Security Cloud (ISC) Coursework or experience with Agile or Scaled Agile (SAFe) methodologies Ability to stay organized and manage multiple and concurrent assignments under tight deadlines preferred Previous internship or work experience as a Cybersecurity Engineer Intern within the past 12 months preferred Ability to work effectively in a fast-paced, team-based, Customer service-oriented environment with a high regard for hospitality Demonstrate programming aptitude and ability for logical and abstract thinking Problem solving ability and strong written/verbal communications skills preferred Works well in a culture that is open, direct, respectful, courteous, and compassionate preferred Time Commitment and Pay Join Southwest as a Summer 2027 Intern, with a 12-week internship lasting from May 18 – August 8, 2027. Required: Full-time 40hrs a week. Must maintain a consistent weekly schedule during normal business hours at a max of 8hrs per day. $26 - $30 /hour, corresponding with progress towards degree completion. Education High School Diploma, GED or equivalent education required. Progress towards degree, major, or minor in MIS, Business, Computer Science, Computer Engineering, Information Systems or Information Technology, Data Analytics, Statistics, Economics, Finance, Business Administration or similar degree. Progress towards a 4-year undergraduate degree or graduate degree is required. To be eligible, you must be currently enrolled as a full-time student (as defined by your university) at the time of application and during the internship. 1-2 semesters remaining at the time the internship ends is preferred. Minimum 2.5 cumulative GPA at the time of application is required. Basic Qualifications Must be at least 18 years of age. Must have authorization to work in the United States as defined by the Immigration Reform Act of 1986. You must have a valid U.S. Social Security Number to complete the full hiring process Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Cybersecurity
VerifiedToday

Summer 2027 Software Engineer Internship

On-siteinternshipInternshipDallas, United States
Apply Now

Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: Summer 2027 Software Engineering Internships Please print/save the job description because it won’t be available after you apply. To be considered, please ensure that you attach a resume to your application. We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Southwest Airlines is committed to providing Employees with equal opportunities for learning and personal growth. As a Technology Intern, you’ll contribute to real-time projects, collaborate with fellow interns and cross-functional teams, help advance Company initiatives, and support Southwest’s Purpose of connecting People to what’s important in their lives through friendly, reliable, and low-cost air travel. Throughout the internship, you’ll have the opportunity to learn, grow, and develop as a future professional while making a meaningful impact. The Software Engineering Intern should be a strong communicator and collaborator, capable of presenting ideas in both technical and user-friendly terms while helping shape the future of Southwest’s Technology Team. If hired, Interns may be selected to support one of the following Teams: Air Operations - Crew Technology The Crew Technology organization develops and supports applications critical to Southwest Airlines Crew Members. Working with both the Crew Certification and Crew Recovery teams, you'll contribute to quality engineering, test automation, cloud technologies, CI/CD pipelines, and software modernization efforts across Crew Scheduling, Training, Mobility, Planning, and Recovery systems. This role offers the opportunity to work on highly visible technology initiatives while learning from experienced engineers in a large-scale enterprise environment. Air Operations - Revenue Management Technology The Revenue Management Technology team develops and supports the systems that help Southwest Airlines optimize revenue, inventory, and customer demand forecasting. Team members work with large-scale data, cloud and on-premises technologies, and enterprise applications that power Revenue Management, Southwest.com, and Marketing capabilities. This is an opportunity to gain hands-on experience with data-driven decision-making, forecasting, and technology solutions that directly impact airline performance and profitability. Air Operations - Crew Scheduling The CrewMesh Pod supports Southwest Airlines' Crew Scheduling modernization efforts by developing cloud-native services, APIs, and event-driven solutions that connect critical operational systems. Team members work with modern software engineering practices, cloud technologies, automation, and agile delivery methods to build scalable, reliable solutions that support Crew operations while advancing enterprise modernization initiatives. People & Finance - People and Communications The People and Communications team builds and supports technology platforms enabling Southwest Airlines to engage with Customers and Employees through social, internal, and external communication channels. As a Software Engineer Intern, you'll collaborate with engineers, product teams, and business partners to develop innovative solutions that drive meaningful connections and enhance the Southwest brand. You'll gain hands-on experience with modern technologies, Agile development practices, and enterprise platforms that support customer engagement, employee communications, and collaboration across the Company. Tech & Ground Ops - Tech Ops Parts, Finance and Reliability The Tech Operations Technology team develops and modernizes solutions that support aircraft maintenance, parts management, regulatory compliance, and operational readiness across Southwest Airlines. Team members work with cloud technologies, enterprise applications, data products, automation, and AI-enabled solutions that help improve aircraft availability, operational reliability, and maintenance efficiency. This is an opportunity to contribute to business-critical systems that directly support the safe and efficient return of aircraft to service. Additional Details Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel). Interns will be provided any required equipment, such as a laptop, for the internship. Stipends may be offered based on eligibility and program criteria. The Intern will work full-time as a Software Engineering Intern within the Technology Department. This role is offered as a remote workplace position, which may require travel for trainings, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location, away from our Corporate Campus. Please note, while this is a remote position, there is limited group of states or localities ineligible for Employees to regularly perform their work off-site. Those ineligible locations are: Alaska, California, Colorado, Delaware, Illinois, Iowa, Massachusetts, Maryland, Montana, New Jersey, New Hampshire New York, North Dakota, South Dakota, Oregon, Pennsylvania, Vermont, Washington, West Virginia, and Wyoming, and Puerto Rico. U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We are committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Duties and Responsibilities The duties and responsibilities of the Software Engineering Intern may include but are not limited to: Analyze, design, write program code, test, document, and implement functionally appropriately, technically sound, and well-integrated application systems in accordance with Customer requirements, and organizational methodologies and standards. Respond to production problems and implement immediate resolution efforts across technology areas. Maintain awareness of technology trends in area of responsibility. Meet commitments and deliverables related to participating in projects. Knowledge, Skills, and Abilities Coursework or hands-on experience with programming languages such as Java, JavaScript, C#, Python, or Node.js. Coursework or experience with AWS cloud services, including S3, Lambda, DynamoDB, EventBridge, Redshift, Glue, ECS, and Kinesis. Coursework or experience with event streaming and messaging technologies such as Apache Kafka. Coursework or experience developing and consuming RESTful APIs and microservices. Coursework or experience with Git and version control best practices. Coursework or experience with CI/CD pipelines, automated testing, and software deployment processes. Coursework or experience with Agile or Scaled Agile (SAFe) methodologies Ability to stay organized and manage multiple and concurrent assignments under tight deadlines preferred Previous internship or work experience as a Software Engineer Intern within the past 12 months preferred Ability to work effectively in a fast-paced, team-based, Customer service-oriented environment with a high regard for hospitality Demonstrate programming aptitude and ability for logical and abstract thinking Problem solving ability and strong written/verbal communications skills preferred Works well in a culture that is open, direct, respectful, courteous, and compassionate preferred Time Commitment and Pay Join Southwest as a Summer 2027 Intern, with a 12-week internship lasting from May 18 – August 8, 2027. Required: Full-time 40hrs a week. Must maintain a consistent weekly schedule during normal business hours at a max of 8hrs per day. $26 - $30 /hour, corresponding with progress towards degree completion. Education High School Diploma, GED or equivalent education required. Progress towards degree, major, or minor in MIS, Business, Computer Science, Computer Engineering, Information Systems or Information Technology, Data Analytics, Statistics, Economics, Finance, Business Administration or similar degree. Progress towards a 4-year undergraduate degree or graduate degree is required. To be eligible, you must be currently enrolled as a full-time student (as defined by your university) at the time of application and during the internship. 1-2 semesters remaining at the time the internship ends is preferred. Minimum 2.5 cumulative GPA at the time of application is required. Basic Qualifications Must be at least 18 years of age. Must have authorization to work in the United States as defined by the Immigration Reform Act of 1986. You must have a valid U.S. Social Security Number to complete the full hiring process. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

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Software Engineering
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