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Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit

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We are seeking a software-minded engineer with strong development skills who can build reliable tools and services that interact with our network and security platforms. The role emphasizes designing, implementing, and maintaining automation that improves day‑to‑day operations, developer experience, and system reliability. The ideal candidate is fluent in Python, comfortable with Git, testing, and CI/CD, and brings a solid grasp of networking concepts. Experience with firewalls or security tooling is welcome but not required—you will have opportunities to learn these systems while contributing meaningful engineering work.
ResponsibilitiesLead engineering projects to enhance firewall management and network security systems
Build and maintain lab environments for testing automation and operations tools
Develop Python plugins and scripts for security operations automation
Conduct thorough code reviews, testing, and quality assurance for security tools
Participate in on-call rotation to troubleshoot network and security incidents
Support application migration from traditional hosting to Kubernetes environments
Lead structured projects through all phases from requirements to deployment
Develop and enhance vulnerability management processes for network devices
Strong software development skills in Python or Go, with an emphasis on writing clean, maintainable, and well-tested code
Experience building automation tools and services such as CLIs, APIs, or event-driven jobs
Proficiency with Git-based workflows, code reviews, and test automation
Hands-on familiarity with Docker and basic Kubernetes concepts for local development and deployments
Working knowledge of CI/CD pipelines and packaging, release, and deployment best practices
Solid understanding of core networking fundamentals such as TCP/IP, routing, subnets, DNS, and HTTP
Comfortable working in Linux environments and troubleshooting systems issues
Experience integrating with network or firewall device APIs is a plus
Strong communication and collaboration skills with the ability to lead projects end to end
Software engineering experience building tools, services, or integrations
Demonstrated work with networking concepts and protocols applied in real systems
Experience automating infrastructure or operations workflows and integrating with device or vendor APIs
Hands-on experience with containers and orchestration (Docker, basic Kubernetes)
Practical CI/CD experience, including testing, release, and deployment automation
Exposure to firewalls or network security platforms is a plus, not a requirement
Experience leading technical projects end to end in a collaborative environment
This position is ideal for engineers eager to apply their development skills to real-world networking and security challenges, while growing into advanced areas of automation and network security design.
This role includes an on-call rotation component, where the engineer will be responsible for one week of on-call duty approximately once per month.
The base pay range for this position is expected in the range below:
$115,200 - $199,700These jobs might be a good fit

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Job Description:
The position is expected to act as the first line of defense to handle and mitigate network related
Job Requirement:
Experience and Knowledge of networking fundamentals like TCP/IP, IPv4/IPv6
Knowledge of routing protocols like BGP, OSPF, MPLS etc.
Knowledge of network protocols like ARP, DHCP, DNS, TFTP etc.
Understanding of Routers, Switches, VLAN, WAN, Internet Connectivity.
Knowledge of Wi-Fi protocols including all standards of 802:11a/b/g/N/A.c and supporting protocols including RADIUS, UDP, VPN, ACL’s, LDAP etc
Base level experience in Linux/Unix systems and open source tools.
Knowledge in languages like Python etc.
Ability to communicate clearly and effectively.
Ability to cross-correlate events and troubleshoot issues quickly.
Experience in working on HW platforms from vendors like Cisco, Arista, Juniper and Aruba. Juniper Mist is a plus.
Ability to work shift schedules including early/late hours and weekends.
Monitor the technical bridge during shifts and handle the Sev calls.
Knowledge on Global protect, Palo alto firewalls and Azure is a plus.
Job Qualifications:
● Bachelor’s degree in Computer Science Engineering or equivalent required
● Certification in JNCIA, CCNA or equivalent preferred
● 3 - 4 yrs experience in hands-on router switch or Wi-Fi configuration preferred
● Knowledge of network technology fundamentals like TCP/IP, IPv4/IPv6, VLAN, WLAN, CIDR,
Netmask, required
● Knowledge of network protocols like BGP, OSPF, TACACS, SSH, DNS, ARP, DHCP,
TFTP required
● Knowledge of languages like Python, Ansible, unix shell etc. required.
The base pay range for this position is expected in the range below:
$89,600 - $158,100These jobs might be a good fit

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Senior MTS Software Engineer, Data Platforms
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit

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What you will accomplish:
What you will bring:
The base pay range for this position is expected in the range below:
$95,200 - $168,700These jobs might be a good fit

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What you will accomplish:
Build and manage Authentication and security products.
Create high-performance, scalable real-time systems handling billions of transactions daily, ensuring 99.99% uptime.
Design layered applications with UI, business functionality, and database access.
Leverage expertise in BE, FE, JS, CSS, RDBMS, NoSQL, Cloud computing, Big Data, Search, Kafka, Machine Learning, and Information Retrieval.
Develop innovative solutions addressing market needs.
Estimate efforts, plan implementations, and execute rollouts.
Participate in requirement/design meetings with PD/PM teams.
Uphold engineering excellence in development.
Adhere to Definition Of Done (DoD) for quality assurance.
Conduct comprehensive code reviews.
What you will bring:
Proficiency in Java and Java EE with expertise in web services such as SOAP, REST, and HTTP/XML and strong understanding of data structures, object-oriented programming, and design patterns.
Bachelor’s degree in computer science with over 8+ of experience, or a master’s degree in computer science with 5+ years of hands-on experience in developing large-scale distributed systems.
Familiarity with Node.js, Java, Scala, Oracle, MongoDB (or other NoSQL databases), REST, event sourcing, web sockets, HTML5, CSS3, JavaScript, Ajax, Spring MVC, and JQuery is highly preferred.
Ability to define, design, and implement complex, scalable systems.
Expertise with testing frameworks and libraries such as Jest, Mocha for unit and playwright for integration, and end-to-end testing.
Strong team collaboration and communication skills.
The base pay range for this position is expected in the range below:
$115,200 - $199,700These jobs might be a good fit

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1. Design & Implementation of Network Security Solutions
Architect, implement, and maintain network security architectures, policies, and procedures using Palo Alto firewalls and Azure networking technologies.
Develop and maintain secure configurations, access controls, and routing protocols.
Evaluate emerging security technologies to strengthen our overall security posture.
2. Firewall & Traffic Management
Configure, monitor, and maintain Palo Alto firewalls, including rule sets, security policies, and threat prevention profiles.
Troubleshoot and resolve firewall-related security issues.
Perform regular firewall audits and vulnerability assessments.
3. Network Infrastructure Protection
Monitor network traffic patterns to detect and mitigate security threats.
Implement and maintain IDS/IPS solutions for continuous threat detection.
Partner with cross-functional teams to integrate security controls into all network devices, systems, and applications.
4. Remote Access Security
Design, implement, and maintain secure remote access architectures and policies.
Support secure connectivity across iOS, Android, Windows, and MacOS environments.
Collaborate with end-users to ensure optimal and secure remote experiences.
5. Application Delivery & Load Balancing
Configure, monitor, and maintain F5 load balancers (VM and hardware) to ensure high availability, performance, and secure application delivery.
6. Incident Response & Vulnerability Management
Investigate and remediate security incidents, perform root cause analysis, and apply corrective measures.
Ensure vulnerabilities are addressed by applying the latest security patches and configurations in alignment with global security standards.
Participate in on-call rotations for after-hours, weekend, and holiday emergency support.
7. Collaboration & Knowledge Sharing
Work closely with IT teams and partners to align network security with organizational goals.
Mentor junior engineers and share best practices.
Stay ahead of industry trends, emerging threats, and evolving technologies in network security, Palo Alto, and Azure.
Certifications (Highly Preferred) :
Palo Alto Networks Certified Network Security Engineer ( PCNSE )
Cisco Certified Network Professional Security ( CCNP Security )
F5 Certified Technology Specialist ( CTS )
Additional certifications such as CISSP, CEH, Azure Security Engineer Associate, or AWS Certified Security – Specialty are a plus.
Technical Expertise in Network Security :
In-depth knowledge of network security frameworks (e.g., NIST CSF, ISO 27001, CIS Controls).
Experience with network segmentation , zero trust architecture, and secure VPN solutions.
Strong understanding of encryption protocols , PKI, TLS/SSL, IPsec, and certificate management.
Advanced firewall policy design, rule optimization, and traffic analysis.
Threat intelligence integration into network defense strategies.
Core Networking Skills :
Strong understanding of TCP/IP , routing protocols (BGP, OSPF, EIGRP), VLANs, DNS, DHCP, and NAT.
Familiarity with intrusion detection/prevention systems (IDS/IPS) and SIEM platforms.
Experience with cloud-based security architectures (Azure required; AWS/GCP a plus).
Other Requirements :
Solid understanding of AI/ML concepts as they relate to network threat detection and automation.
Excellent troubleshooting and problem-solving skills in complex, hybrid cloud environments.
The base pay range for this position is expected in the range below:
$108,000 - $186,900Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
These jobs might be a good fit

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Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit