Required Senior DevOps Engineer
About The Position
We are scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.
Responsabilities:
Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are looking for an experienced Senior DevOps to join our team. In this role, you will work closely with Development, Architecture and Operations teams to build, optimize and maintain our cloud-native SaaS platform, while improving platform reliability, automation, security and developer productivity.
Job Description:
Manage and optimize Kubernetes-based environments, primarily AKS.
Support production and non-production SaaS environments.
Improve platform reliability, scalability, performance and availability.
Troubleshoot infrastructure and application issues across distributed systems.
Implement monitoring, alerting and operational best practices.
Develop and maintain Infrastructure as Code solutions.
Automate cloud resource provisioning and environment creation.
Improve operational workflows through scripting and automation.
Develop reusable tools to reduce manual operational effort.
Improve CI/CD pipelines using GitHub Actions.
Enhance GitOps workflows using Argo CD.
Optimize release management and deployment automation.
Implement cloud security best practices, including IAM, secrets management and network security.
Leverage AI-powered tools to improve engineering efficiency and automation.
Direct Manager :DevOps Manager.

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our subscription management products.

As a Director of Engineering , you will...
Build, lead, and mentor multiple cross-functional teams of managers and developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows that will enable rapid innovation while ensuring enterprise-grade quality of the delivered product
Own the AI enablement vision for your organization: identify where AI can meaningfully accelerate the software development lifecycle, build the roadmap, and drive hands-on execution
Act as a key partner to business stakeholders-product, sales, finance, and executive leadership-in translating business goals into engineering strategy and representing engineering priorities in company-wide decisions
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by customers

We are seeking a seasoned Senior DevOps Engineer to join our innovative and fast-growing startup poised to transform the risk assessment industry.
Responsibilities:
Design and implement scalable, resilient infrastructure across major cloud platforms to support our high-demand applications.
Manage and optimize container orchestration using Kubernetes and Docker, ensuring efficient deployment and operation of services.
Drive the adoption of FinOps practices to optimize cloud spending and resource utilization.
Develop automation strategies to enhance continuous integration and deployment (CI/CD) processes.
Collaborate with cross-functional teams to ensure seamless, scalable, and robust application performance.
Provide leadership and mentorship to junior team members, promoting a culture of technical excellence and innovation.

We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated Test Equipment (ATE) environments. In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system-level testing, and radar calibration of advanced radar systems. Key Responsibilities:
* Design and maintain the ATE database and software infrastructure.
* Develop data pipelines, APIs, and integrations for ATE systems.
* Build BI dashboards and reports for production and test data.
* Ensure data integrity, traceability, backup, and availability.
* Support deployment across production sites and secured networks.
* Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform
Participate in SW architecture design and perform signal processing algorithm porting & optimization
Address real-time constraints in a challenging memory/compute bound framework
Be part of a goal-oriented workgroup and dynamic research & development environment
Work in close collaboration with CTO and SW architecture team