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Requirements:
5+ years of experience as a Data Platform/Infra Engineer.
Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures.
Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA.
Strong proficiency in Python and SQL.
Hands-on experience with Infrastructure as Code, preferably Terraform.
Experience with managing a data orchestration platform such as Airflow or Prefect.
Experience with Snowflake.

Requirements:
5+ years of Red Teaming or Adversarial Simulation Experience.
Experience conducting internal and external penetration testing.
Experience designing and/or executing phishing campaigns.
Experience in social engineering.
Experience with EDR/XDR evasion and bypass techniques.
Deep familiarity with Active Directory attacks and defenses.
Extensive experience in penetration testing methodologies and tools.
Deep technical understanding of a broad technology set and the ability to learn new information at a rapid pace.
Proven presentation skills.
Developing, extending, or modifying exploits, shellcode or exploit tools.
Willingness to travel abroad.
Advantages:
Background in application security.
Experience developing tools in one or more of the following: C/C++, Bash, C#, Python, Java, or PowerShell.
Experience with cloud penetration testing (AWS, Azure, Google Cloud Platform).
Fluent English (written and spoken).

Requirements:
Education: MSc or PhD in Data Science, Computer Science, Mathematics, Statistics, or a related engineering field.
Experience: 4+ years of proven experience as a Data Scientist solving complex business problems with state-of-the-art algorithms.
Deep Learning: Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
Engineering & Production: High-level software engineering expertise, with a strong track record of deploying, maintaining, and scaling models in rigorous production environments.
Strong analytical thinking: Take a vague business question, translate it into a testable hypothesis, build the infrastructure to run an experiment, and draw rigorous conclusions from the results.
Massive Scale: Experience working with billions of records and big-data frameworks (e.g., Spark, Ray, Dask, Airflow).
Domain Expertise: Proven experience building and optimizing applied recommendation systems.
AI development: Fluency with modern AI coding tools and practices (e.g. Cursor, Claude Code, Copilot) and an eagerness to integrate them into your daily workflow
Leadership & Soft Skills: Demonstrated experience leading machine learning projects. You are a highly analytical team player capable of handling multiple tasks simultaneously in a fast-paced environment.
You might also have
LLM & Agentic Frameworks: Experience building applications with modern AI tools and frameworks (e.g., LangChain, LangGraph).
AI Observability: Hands-on experience with LLM observability, evaluation, and tracing frameworks (e.g., Langfuse).
MLOps & Infra: Experience working with MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases, SageMaker) and feature stores (e.g., Feast, Tecton).
Additional information
Relocation support is not available for this position
Work visa/immigration sponsorship is not available for this position
Benefits
At our company, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Requirements:
5+ years of hands-on experience in offensive security, penetration testing, or red teaming
Proven ability to find, exploit, and chain vulnerabilities across applications
Deep understanding of how modern web applications and APIs break
Hands-on experience assessing cloud environments (AWS or GCP)
Strong ability to develop and validate offensive tooling
You might also have
Adversary emulation experience: designing engagements around real threat actor TTPs
Security research in real-time 3D, game engines or SDKs, or mobile runtimes
Experience attacking CI/CD and build systems.

Requirements:
Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects.
At least 4 years in a management or group leadership role, ideally overseeing high-output teams.
A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage
Leadership and Interpersonal Skills:
Strong communication and leadership skills, capable of effectively motivating and managing software development teams.
Experience in leading leaders- An advantage.
Excellent interpersonal skills and a team-oriented mindset.

Requirements:
Requirements
Proven Leadership: 2+ years of experience leading small to medium QA teams in a hands-on capacity, ideally within a fast-paced startup environment.
Comprehensive QA Expertise: Deep understanding of the software development lifecycle, QA methodologies, and best practices.
Technical Proficiency: Hands-on experience with:
Back-end and front-end testing
Cloud environments (AWS preferred)
Linux environments and scripting
Python programming
Continuous Integration/Deployment (CI/CD)
QA management tools (e.g., Jira)
Complex Systems: Experience testing multi-disciplinary systems that involve networking, communication, cameras, advanced algorithms, and AI.
Strong Communication: Excellent written and verbal English communication skills.


Bonus Points
Experience with microservices architecture and REST APIs
Developing test automation infrastructure
Knowledge of ETL data pipelines
Proficiency in SQL (relational and non-relational databases)

Requirements:
Requirements:
5+ years of software engineering experience, with a strong focus on systems and performance.
Hands-on experience working with computer vision or deep learning systems in production.
Strong programming skills in Python and/or C++.
Experience working with edge or embedded systems (e.g., NVIDIA Jetson platforms).
Strong understanding of system bottlenecks, including CPU, GPU, memory, and latency constraints.
Strong intuition for profiling-driven optimization and performance tuning.
Experience debugging complex systems and reasoning about behavior in real-world, noisy environments.

Strong advantage:
Experience working with edge or embedded systems.
Experience working with custom high-performance data or inference pipelines.
Familiarity with multi-sensor fusion (e.g., combining vision with radar or other signals).
Experience deploying and maintaining ML models in production environments.
Experience with low-level optimization and/or C++ performance tuning.
Proven experience optimizing model inference (e.g., TensorRT, ONNX Runtime, quantization, pruning, or similar techniques).

Requirements:
5+ years in application security, with a track record on complex, large-scale systems.
Strong command of secure coding and common vulnerability classes (OWASP Top 10 and beyond)
Hands-on secure development experience across several languages.
Practical penetration testing, security assessment, and vulnerability management experience with standard tooling (SAST, DAST, SCA, and manual techniques).
Experience with Cloud security (GCP, AWS, or Azure).
Working knowledge of authentication, authorization, cryptography, and secure architecture patterns.
Clear technical communication for both engineers and non-technical partners across regions.
Preferred Qualifications
Experience in the technology, gaming industry or Ad tech.

Requirements:
6 years of experience in FP&A, financial modeling, or business analysis, in a SaaS technology environment.
Bachelors degree in Finance, Economics, Accounting, or a related field; MBA or advanced degree is a must.
Expertise in Excel, NetSuite ERP system and BI/FP&A tools.
Strong understanding of budgeting, forecasting, and financial planning processes.
Proven ability to partner cross-functionally and influence decision-making through data and insight.
Exceptional analytical skills - able to translate complex data into clear business narratives.
Experience designing and supporting procurement, or cost control processes is a plus.
Self-starter mindset, comfortable working independently and scaling processes in a fast-growing Organization.