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Required Senior DevOps Engineer
Joining us means entering a career journey, building your tailored development roadmap.
While seniority doesn't signify the end of learning, it can often be difficult to find the time and hands-on experience to focus on your professional development. You can choose what you want and need to learn and the hands-on practice to "walk the talk"
What Youll Gain:
Micro and Macro Perspective- With exposure to 70-100 relevant clients in the field, youll gain a broad view and deep understanding of different technologies and methodologies across various industries.
Technical Mastery: Utilize state-of-the-art DevOps tools and practices in real-world production settings, ensuring you are always at the forefront of technology. Embrace a cloud-native stack and the 15-factor app principles to build scalable, maintainable, and efficient applications.
Expert DevOps Community- Join a team of ~50 dedicated DevOps professionals who live and breathe DevOps. Youll collaborate, share knowledge, and refine practices together, growing as part of a supportive and highly skilled group.
Toolbox- As a company with over 25 years of experience, we provide a robust technical foundation and a comprehensive toolbox, developed through years of knowledge and integration of best-in-class tools.
Responsibilities:
Microservices Transformation- Lead the migration from monolithic systems to microservices using Kubernetes, Istio, and Linkerd. Your work will focus on ensuring reliability, scalability, and fault tolerance in production.
Container Orchestration- Manage Kubernetes clusters at scale, automate deployments with Helm, and integrate continuous delivery using Gitops technologies (ArgoCD).
Developer Experience- Improve CI/CD pipelines with GitLab CI, github-actions, and other tools to enhance productivity and streamline workflows.
GitOps and Automation- Implement GitOps using FluxCD and automate infrastructure management with Terraform. Youll be responsible for maintaining security and configuration management with HashiCorp Vault.
Monitoring and Observability- Build and manage observability stacks using Prometheus, Grafana, Loki, and Jaeger, ensuring full visibility and fast incident response.
Production Readiness- Define production-readiness standards and implement monitoring tools like Datadog and New Relic to ensure systems are stable and performant.

Required Senior Data Engineer
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management, using tools like DBT.
Develop Data pipelines to ingest and transform data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses. This will also include catalogs of data.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

As the Head of Performance Marketing , you will lead the companys user acquisition and growth efforts end-to-end- from strategy and execution to optimization and team leadership.

Responsibilities:
Lead and scale the company's user acquisition activity across all media channels, managing and optimizing large-scale performance marketing campaigns across Search, Social, Native, and additional paid channels, while overseeing significant marketing budgets including forecasting, allocation, scaling, and efficiency tracking.
Drive continuous optimization through data analysis, experimentation, and performance improvements, developing and implementing advanced user acquisition and growth strategies to meet business KPIs, while owning campaign performance analysis and providing actionable insights to improve ROI, CPA, LTV, and revenue growth.
Conduct ongoing A/B testing across creatives, funnels, bidding strategies, audience targeting, and campaign setups.
Utilize analytics platforms, BI systems, and reporting tools to extract insights and support data-driven decision making.
Collaborate closely with Product, Creative, Analytics, Clients team and additional cross-functional teams to align growth initiatives and marketing efforts.
Build and improve internal processes for campaign management, optimization, reporting, and operational scalability.
Lead, and mentor a high-performing performance marketing team.

Required Senior Backend Engineer
Seniority isnt the end of learning - its the start of your next leap.
Here, you define your tech journey: choose the technologies you want to master, set your own growth path, and gain the hands-on experience to become a Backend Tech Lead.
Work with top-tier companies, tackle complex engineering challenges, and leave your mark on large-scale systems - all while staying at the forefront of technology.
This is a hybrid position.
What Youll Do:
Architect, design, and build high-performance, scalable backend systems.
Work with advanced algorithms, data structures & distributed computing.
Design and implement robust, secure APIs.
Use best practices to ensure flexibility, extensibility, and maintainability.
Develop SQL & NoSQL persistence solutions with optimal data modeling & performance.
Build and scale cloud-based infrastructures.

We're looking for a Data Engineer to own and evolve the data infrastructure that sits underneath all of it. The pipeline is already built and running at real scale. Your job is to go deeper - embedding data further into the business and pushing the AI/ML layer forward. This isn't a maintenance role. It's an ownership role.

In this role, you will:

Our data pipelines run faster, scale cleaner, and break less - because you own the architecture and optimization of our BigQuery warehouse end-to-end.
High-throughput processing and real-time analytics become possible at a scale we haven't reached yet - because you're shaping the distributed systems that get us there.
Data capabilities land in the hands of the people who need them - data scientists, engineers, and product stakeholders from problem to solution, not as a downstream dependency.
The infrastructure gets more reliable, more automated, and easier to monitor - because you treat DevOps and MLOps as part of the job, not someone else's problem.
AI/ML models move from development into production and stay there - not handed off, but owned through the full deployment lifecycle.

We are seeking an experienced SOC Validation team leader to lead the system validation team activities for our next-generation BMC (Baseboard Management Controller) SoCs, widely used in enterprise and data center servers. As an employee, you will join a multidisciplinary team developing and qualifying advanced Embedded solutions for application processors, security processors (Caliptra, TrustZone/OPTEE), and Embedded I/O processors. Our customers include Tier-1 enterprise server vendors and leading cloud service providers.
Responsibilities:
* Lead a team of experienced system and validation engineers, including hands-on involvement.
* Define and execute validation strategies for complex SOC products across pre- and post-silicon stages.
* Collaborate closely with HW, Embedded SW, Architecture, and Security teams to ensure full system coverage.
* Analyze product requirements and define comprehensive validation plans and methodologies.
* Develop and maintain validation environments, including TEST frameworks, automation, and infrastructure.
* Drive debug and root-cause analysis of system -level issues across HW/SW boundaries.
* Ensure high-quality validation coverage and sign-off aligned with product and customer requirements.
* Support pre-silicon activities (emulation, FPGA) and post-silicon bring-up and system validation.
* Drive continuous improvements in validation processes, tools, and productivity.
* Mentor and support team members in technical growth and execution excellence.
* Participate in recruitment and onboarding of new team members.