We are looking for an Experienced Data Engineer to join our marketing team and take end-to-end ownership of our data platform and production data pipelines. In this role, you will be responsible for building robust, scalable, and observable data systems that power analytics, reporting, and downstream business use cases. You will work deeply hands-on with data infrastructure, modeling, and orchestration, and act as a key technical partner to Marketing, Sales Product and Business and Finance teams.
This role suits someone who enjoys working close to the metal, designing systems that scale, and solving ambiguous data problems in a dynamic startup environment. You will play a critical role in shaping how data flows through the company, setting engineering standards, and ensuring data is trustworthy, performant, and ready for growth.
What You'll Do:
Design, build, and maintain scalable, reliable data pipelines and data warehouse architectures to support analytics and business intelligence needs.
Own the end-to-end ETL/ELT processes - ingesting data from internal and external sources, transforming it, and making it analytics-ready.
Model and optimize data structures (fact tables, dimensions, semantic layers) to support performant querying and reporting.
Ensure high standards of data quality, integrity, observability, and reliability across all data assets.
Partner closely with Analytics, Product, Marketing, and Finance teams to understand data requirements and deliver robust data solutions.
Implement monitoring, alerting, and testing frameworks to proactively identify data issues.
Optimize warehouse performance and cost efficiency (query optimization, partitioning, clustering, etc.).
Identify gaps in data collection and work with engineering teams to improve instrumentation and data availability.
Support experimentation and analytics use cases by enabling clean, trustworthy datasets for A/B testing and analysis.
Document data models, pipelines, and best practices to support scale and knowledge sharing.

We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are seeking a skilled Senior Backend Engineer to join our team and help us build Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs
Implement integrations with AI platforms and services
Work with AI specialists to translate AI capabilities into production-ready features
Ensure high reliability, performance, and security of AI-powered systems
Collaborate with product and engineering teams to gather requirements and deliver solutions

we are looking for a Senior Backend & LLM Applications Developer.
As a Senior Backend & LLM Applications Developer, you will design and build scalable backend systems while integrating advanced AI capabilities into production. You will work with Large Language Models (LLMs), agentic AI, and AI agents, making key architectural and technical decisions that shape how AI powers our products for the Care Network.
As part of our fast-growing R&D team, you will drive core infrastructure development, contribute to platform scalability, and help advance cutting-edge AI technology that improves the lives of older adults.
What Youll Do:
Design and develop scalable backend services and cloud-based infrastructure (AWS) using microservices architecture
Take end-to-end ownership of complex backend systems and development projects, from design to production
Drive performance, reliability, security, and scalability of core platform services
Integrate AI and LLM capabilities into backend systems, including prompt optimization and production readiness
Collaborate with Product and Data teams to deliver AI-enabled features
Research, prototype, and lead the adoption of new backend technologies, with selective adoption of AI models and tools into production

We are looking for a talented Senior Backend Developer to join our development team. As part of the team, you will contribute to building and enhancing high-scale, multi-tenant SaaS products that support customers worldwide. You will work in a hybrid environment, collaborating closely with highly skilled engineers in an agile, sprint-based methodology. This role is critical to the continued success of our next-generation security and monitoring platforms, ensuring performance, scalability, and reliability across multiple regions and tenants.
The Mobile Solution Group builds our companys mobile security platform, combining on-device protection with scalable backend services. Our backend systems power policy management, integrations, data processing, and enforcement across mobile clients and multiple our company products, operating at scale and under strict reliability and security requirements.
Key Responsibilities
Architect, design, and develop robust, high-quality backend services and APIs for our large-scale SaaS platform.
Own the end-to-end delivery of features in an agile, CI/CD environment, from conception to deployment.
Ensure the scalability, resilience, and high performance of our applications to support a rapidly growing, multi-tenant customer base across multiple regions.
Integrate with and optimize a diverse set of distributed data systems, including PostgreSQL, Redis, RabbitMQ, and Elasticsearch.
Champion and implement observability best practices (metrics, logging, tracing) using tools like Prometheus, Grafana, and OpenTelemetry to ensure system health and proactive monitoring.
Collaborate closely with product managers, frontend developers, and DevOps engineers to translate customer needs into impactful technical solutions.
Continuously explore, evaluate, and adopt new technologies to enhance our architecture and development efficiency.
Mentor and guide other developers, fostering a culture of technical excellence and knowledge sharing.

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practics for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in Kubernetes and different cloud environments, and will excel in developing advanced k8s-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.
Key Responsibilities:
Design and implement advanced k8s-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
Develop attack techniques for K8S, cloud and AI technologies.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Data Engineer
What youll do:
Lead the design and development of scalable and efficient data lake solutions that account for high-volume data coming from a large number of sources both pre-determined and custom.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a data lake that will serve our users.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Collaborate with cross-functional teams (product, analytics, and R&D) to enhance our data solutions.
Who youll work with:
Youll be joining a collaborative and dynamic team of talented and experienced developers where creativity and innovation thrive.
You'll closely collaborate with our dedicated Product Managers and Designers, working hand in hand to bring our developer portal product to life.
Additionally, you will have the opportunity to work closely with our customers and engage with our product community. Your insights and interactions with them will play an important role to ensure we deliver the best product possible.
Together, we'll continue to empower platform engineers and developers worldwide, providing them with the tools they need to create seamless and robust developer portals. Join us in our mission to revolutionize the developer experience!

We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
What youll do:
Lead the design and development of scalable and efficient data lake solutions that account for high-volume data coming from a large number of sources both pre-determined and custom.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a data lake that will serve our company's users.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Collaborate with cross-functional teams (product, analytics, and R&D) to enhance our company's data solutions.
Who youll work with:
Youll be joining a collaborative and dynamic team of talented and experienced developers where creativity and innovation thrive.
You'll closely collaborate with our dedicated Product Managers and Designers, working hand in hand to bring our developer portal product to life.
Additionally, you will have the opportunity to work closely with our customers and engage with our product community. Your insights and interactions with them will play an important role to ensure we deliver the best product possible.
Together, we'll continue to empower platform engineers and developers worldwide, providing them with the tools they need to create seamless and robust developer portals. Join us in our mission to revolutionize the developer experience!