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Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage

Requirements:
6+ years of hands-on experience in Windows development, using languages such as C#, Python, Go, Java, or Rust for system-level engineering.
Proven track record of leading development efforts in a fast-paced, results-oriented environment, including responsibility for delivering products to customers (CI/CD pipelines, packaging, and release processes).
Bonus: Background in Windows internals, process injection techniques, or sandboxing technologies.
Strong advantage: Experience in security domains such as behavioral detection, endpoint protection, or anti-tampering.
Genuine curiosity about GenAI, LLM integrations, and modern developer tooling.
A strong sense of ownership and motivation to help define and build a new product line from the ground up.

Requirements:
6+ years of experience in product analytics or data analysis, with a strong track record in PLG SaaS and a deep understanding of product behavior, engagement, and user journeys.
Deep understanding of KPIs, product metrics, and success criteria for evaluating product performance.
Strong understanding of business impact - able to translate product data into actionable insights that drive customer value, revenue, and retention.
Comfortable working across various data types: front-end events, backend services, and application database models.
Advanced SQL skills with a solid understanding of relational databases (preferably MySQL).
Proven experience in Power BI, including building dashboards, integrating multiple data sources, and using DAX for calculated metrics.
Hands-on experience with product analytics tools such as Mixpanel, DataDog, Heap, or Amplitude.
Excellent communication and collaboration skills, with the ability to clearly articulate insights to diverse stakeholders and work fluently in English (written and spoken).
Proven ability to partner with R&D to define, implement, and validate tracking and data collection that supports accurate analysis.
Experience working within Agile product development squads.
Nice to Have:
Experience working at startups or scale-ups, where ownership, pace, and ambiguity are common.
Prior experience as a founding or solo product analyst, setting up tooling and data infrastructure.
Familiarity with implementing event tracking frameworks and building dashboards or BI workflows from scratch.
Exposure to technical products or platforms with complex user workflows.
Familiarity with Snowflake, Rivery, or similar tools.
Experience with Python for data analysis and reporting.

Requirements:
4+ years of backend development experience with a strong focus on Node.js (JavaScript/TypeScript).
Hands-on experience building and maintaining enterprise-grade applications with frameworks such as Express.js or NestJS.
Experience or strong demonstrable knowledge of working with Large Language Models (LLMs) and their APIs.
Proven expertise in microservices architecture and distributed systems design.
Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB), including query optimization.
Solid knowledge of RESTful API design and best practices for secure, scalable services.
Familiarity with Docker and Kubernetes for containerized deployments.
Experience with messaging systems (e.g., RabbitMQ, Kafka) and caching layers (e.g., Redis).
Understanding of CI/CD pipelines, Git workflows, and Agile methodologies.
Strong analytical and problem-solving skills with keen attention to detail.
Bonus Points For:
Experience with cloud platforms (AWS preferred) and cloud-native application development.
Familiarity with serverless architectures and advanced AWS services.
Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack) and performance monitoring.
Knowledge of security best practices for cloud and microservices environments.
Direct experience building generative AI agents or applications.
Knowledge of prompt engineering, vector databases, or context engineering.

Requirements:
3+ years of experience building production-level applications.
4+ years in a management role, including recruiting and scaling teams.
Hands-on experience with AWS and CI/CD pipeline implementation.
Proven backend experience with Node.js.
Familiarity with microservices architecture and large-scale system design.
Strong knowledge of relational and non-relational databases.
Excellent organizational and people management skills, with the ability to foster a collaborative and high-performance environment.

Requirements:
Can-do approach with strong problem-solving mindset.
7+ years in backend or platform engineering.
Strong skills in Python, Java, C#, or similar languages.
Strong experience with CI/CD, build systems, automation, and developer tooling.
Experience with Kubernetes, containers, and Infrastructure-as-Code (Terraform, Helm/Kustomize).
Strong communication and architectural skills.

Requirements:
3+ years in a product marketing position for an enterprise software company.
Native English speaker - A must.
Experience in marketing to a highly tech-savvy audience.
Excellent communication and writing skills, and experience creating value-centric marketing collaterals.
Proven track record of owning and executing successful product launches.
Strong project management skills.
Experience in market and competitive analysis.
An analytical mind and strong quantitative skills. You should be able to tell a story through data.
Prefer working in a collaborative, cross-team capacity.

Requirements:
15+ years of experience as a Software Developer.
Coding experience in JavaScript and TypeScript.
BSc in Computer Science/Software Engineering or equivalent knowledge.
Strong problem-solving skills and ability to analyze complex technical challenges in a fast-paced environment.
Good communication skills.
Fluent English verbal and written.