Site Reliability Engineer

As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.

What you'll be doing:

• Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
• Be involved in creating High Level Designs (HLDs) for new products and platforms
• Mentor junior SRE staff and enable them for success
• Lead incident response and post-mortem activities within your assigned service team
• Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
• Contribute to code to improve reliability
• Implement automation to reduce ongoing toil

What we're looking for:

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong interpersonal, written and verbal communication skills.
• Available to be scheduled in on-call rotation.

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
• Development experience in one or more of the following programming languages:
• Python (preferred)
• Bash, Go, Java, C++, or Rust
• In addition, experience with at least 3 of the following topics:
• Distributed data storage at scale (Hadoop, Ceph)
• NoSQL at scale (MongoDB, Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
• Kubernetes and/or AWS (deployment and management)
• Software Distribution (Package management and distribution at scale)
• Configuration Management (ansible, saltstack, puppet, chef)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

Senior Service Reliability Engineer 

As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. 

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. 

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. 

What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 

• Demonstrate a high-level of organizational skills and initiative in the role 

What we're looking for:

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. 

• Strong interpersonal, written and verbal communication skills. 

• Available to be scheduled in on-call rotation. 

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. 

• Development experience in one or more of the following programming languages: 

• Python (preferred) 

• Bash, Go, Java, C++, or Rust 

• In addition, experience with at least 3 of the following topics: 

• Distributed data storage at scale (Hadoop, Ceph) 

• NoSQL at scale (MongoDB, Redis, Cassandra) 

• Data aggregation technologies. (ElasticSearch, Kafka) 

• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability 

• Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets  

• Kubernetes and/or AWS (deployment and management)  

• Software distribution (Package management and distribution at scale) 

• Configuration management (ansible, saltstack, puppet, chef) 

• Software performance analysis and load testing (QA or SDET experience: a plus) 

 What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 
  
  
• Demonstrate a high-level of organizational skills and initiative in the role 

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

Location: Berlin, Germany  Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

We are seeking a Senior Engineering Manager to lead our globally distributed Data Services team across Europe, Israel, and India. This is a high-impact leadership role responsible for both platform evolution and organizational scaling, including establishing and growing our data engineering hub in India.

You will own systems that sit at the core of LivePerson’s near-real-time data platform, streaming, processing, storing, and serving both meta data and content for conversations at massive scale, enabling analytics, AI application, and customer integration. This role combines:

• Deep technical leadership in distributed data systems
• Strong execution across global teams
• Strategic ownership of platform modernization

You Will: Key Responsibilities & Impact

• Lead & Scale a Global Engineering Organization

• Build, lead, and grow a high-performing, distributed team across EU, Israel, and India
• Drive a culture of ownership, accountability, and operational excellence

• Own the Data Platform Implementation and Support

• Evolve the architecture for near-real-time data platforms
• Lead design decisions across streaming, storage, indexing, and access layers
• Ensure systems are scalable, resilient, and aligned with long-term product strategy

• Deliver at Scale

• Partner with Product and Architecture to translate vision into executable roadmaps
• Drive delivery of a large fleet of microservices running on Kubernetes (GKE)
• Ensure predictable, high-quality releases across a complex distributed system

• Modernize the Data Stack

• Lead migration from legacy Hadoop/Spark environments to modern platforms such as Databricks
• Balance innovation with reliability and business continuity
• Reduce system complexity while improving performance and cost efficiency

• Drive Operational Excellence

• Define and enforce SLOs/SLAs across the data platform
• Own reliability, observability, and incident response processes
• Build scalable on-call and production support models across time zones

• Partner Across the Business

• Act as a key engineering partner to Product, Analytics, and Go-To-Market teams
• Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders
• Align platform capabilities with customer and business outcomes

You Have: Required Skills & Qualifications

• Experience & Leadership

• Bachelor's degree in Computer Science, Computer Engineering, or a related field. 
• 10+ years in software/data engineering, with strong backend or data platform experience
• 5+ years managing engineering teams, including globally distributed organizations
• Strong skills in Agile methodologies.
• Strong communication skills (including English language skills) and organizational skills
• Proven ability to hire, grow, and retain high-performing teams

• Technical Depth

• Strong background in distributed systems and large-scale data platforms
• Hands-on experience with:
• Streaming systems (e.g., Kafka)
• NoSQL databases (e.g., Cassandra)
• Search/indexing systems (e.g., Elasticsearch)
• Deep understanding of real-time vs batch processing trade-offs

• Modern Data Platforms

• Experience with big data frameworks (Spark, MapReduce)
• Exposure to modern data platforms such as Databricks or lakehouse architectures
• Experience driving platform migrations or modernization initiatives

• Cloud & Platform Engineering

• Experience operating microservices in Kubernetes environments (GKE preferred)
• Strong focus on reliability, scalability, and observability

• Communication & Collaboration

• Strong cross-functional communication and highly organized collaboration skills.
• Proven decisiveness in establishing clear ownership boundaries and sticking to decisions to mitigate delays from distributed and unclear boundaries.
• Discipline to document and reference all decisions to ensure the distribution of responsibilities and ownership remains clear and backed by documentation for all stakeholders.
• Ability to influence stakeholders across engineering, product, and business teams.

• Nice to Have

• Experience in conversational AI, contact center platforms, or customer engagement systems
• Experience with Java-based microservices (e.g., Spring Boot)
• Familiarity with data integration patterns (connectors, webhooks, event-driven systems)

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

💰 Financial Security & Growth

• Additional Pension scheme:  deferred pension scheme (LivePerson contributes 20%), ESPP and annual bonus depending on achievements
• Equipment: Internet and Mobile reimbursement
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Personal time off 33 days , vacation (28 days) and care days (5)
• Paid Public Holidays.

Volunteering Days:  Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

💻 Workplace Flexibility

• Remote-First Model: Be flexible, work flexibly and from anywhere  - no defined working hours or boundaries with offices in Mannheim and Berlin
• Monthly Connection: Join our monthly connection pizza day in the office!

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

How you’ll make an impact

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries. 

As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.

Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).

Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.

At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.

Here's a taste of how you can help the team: 

• Coding advanced automated test suites to exercise our applications at all levels
• Defining manual testing plans, test strategies and define priorities
• Working with the developers to ensure that they deliver testable code
• Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...)
• Mentoring and helping new QA team members

What you need to be successful 

• You have experience in software test engineering with a significant part in automation (API and/or UI Testing)
• You think collaborating with developers is the key for a good testing strategy
• You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++)
• You discuss choices before implementing them

What will make you stand out

• Experience with big data technologies, such as Hadoop, Spark, or Kubernetes 
• Experience with cloud platforms such as AWS, Azure, and GCP
• Basic knowledge of Machine Learning

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team
• Peer interview with two members of the team
• A take-home test to show your skills
• Debrief of your technical test with the VP of Test Engineering
• Final Interview with a VP of Engineering  #LI-Remote

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in Germany, who is bilingual in English and German.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements 
• Other compulsory benefits based on country of residence

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

#LI-YD1

#LI-Hybird