WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Prague, Czech Republic office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Berlin, Germany office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our London, UK office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

CSQ327R46

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.

You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.

As a Data & AI Platform Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time
• [Preferred] Databricks Certification but not essential

CSQ227R121

Locations - Sweden, Denmark, Finland (Hybrid/Remote)

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on:

• Designing secure, scalable architecture 
• Aligning people, processes, and technology 
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts 

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans. 

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
• Create  and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments
• internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership

What we look for:

• Programming experience in PySpark, SQL or Scala 
• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
• 5+ years of experience where you have been accountable for delivery of projects in  Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program coordination including account and stakeholder management
• Experience resolving complex and important escalation with senior customer technical stakeholders
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30%

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

P-1360

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 2+ years of professional software development experience, or alternatively a PhD degree.
• Bachelor’s degree or higher in Computer Science, related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

P-1343

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 5+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

P-1344

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 8+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
• Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.