לוח משרות דרושים jobs for seniors, לחיפוש זה נמצאו 500 משרות

Requirements:
5+ years of proven experience in hands-on server-side development
Passion for writing clean, tested, and high-quality code
Strong collaboration and communication skills, with the ability to work effectively across teams
Independent self-learner with a strong sense of ownership and accountability
Ability to own features end-to-end: from design and architecture through development, testing, deployment and maintenance.
Hands-on experience with React - advantage
Experience working in microservices-based architectures - advantage
GenAI development tools - Advantage

Requirements:
7 years of experience in Python (+Java / Scala)
Proven experience working in an AI-assisted development environment, defining high-level technical goals and leveraging autonomous AI agents (e.g., Cursor, Copilot, Devin-style tools) to execute multi-file implementations, while maintaining ownership of architecture, design decisions, code quality, and final validation.
Experience in Building data lakes, including ingestion and transformation (DBT)
Data Warehousing & ETL Pipelines
SQL & Advanced Query Optimization
Experience in data formats (Parquet, Avro, ORC)
Experience in streaming (Spark Streaming, Flink, Kafka Streams, Beam, etc.)
Experience in NoSQL and data storage (e.g. Elastic, Redis, MongoDB, CouchBase, BigQuery, Snowflake, Databricks)
Experience in messaging (Kafka, RabbitMQ, etc.)
Experience in cloud platforms (AWS, GCP)

Requirements:
5+ years of relevant industry experience, with a proven ability to own and deliver complex projects.

Strong background in backend development (Node.js / Typescript / JavaScript / Other, ideally in microservices or serverless architectures).

Experience with NoSQL data stores (MongoDB, DynamoDB, or similar).

Excellent communication and collaboration skills; you thrive in cross-functional settings.

Strong grasp of Agile development practices.

Experience delivering APIs used by web, mobile, and/or third-party partners.

Requirements:
* At least 7 years of hands-on experience in coding with C, Python, C ++ on the Linux platform.
* Al least BSc in Computer Science, Computer Engineering, or an equivalent degree.
* Proficiency in at least two of the following programming languages: C, Python, or C ++.
* Proficiency in FC protocol.
* Proficiency in Linux Kernel and drivers - MUST
* Highly motivated, confident, quick learner, and a collaborative team player.
* Desire for Growth -: A commitment to continuous learning and gaining expertise in new domains and technologies. Preferred Qualifications:
* Large Scale Feature Design - Experience in designing and planning large-scale software features.
* Server-Side Development: Previous experience in server-side development.
* Performance-Oriented Development: Experience in optimizing software for high-performance environments.
* Enterprise-Class Software - Prior involvement in developing enterprise-class software solutions.
About us
Our enterprise Storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary Storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Our acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined Storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI Storage solutions! Not only did we win over 40 awards in 2025, but was named a Gartner Peer Insights Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
- MSc. or PhD in Statistics, Applied Math, Physics, or a closely related quantitative field.
- Real research experience - a track record of driving original investigations end-to-end (academic research, a research-heavy PhD, industry R&D, or equivalent), not
only applied ML delivery.
- Strong mathematical or statistical problem-solving instincts - able to model a messy real-world system from scratch, not just apply a library.
- Production deployment experience: monitoring, CI/CD, data validation, reproducibility.
- Ability to independently initiate, plan, and drive entire research directions.
- Team player, positive, driven, independent, fast learner.
Advantages
- Depth in classical statistics, causal inference, or applied probability.
- Deep learning experience.
- Clean coding and repository-maintenance

Requirements:
6+ years of hands-on software development experience, with strong backend ownership.
Strong proficiency in Python and backend frameworks such as FastAPI or similar.
Solid experience designing REST APIs, backend services, and production SaaS/cloud-native systems.
Good understanding of distributed systems, asynchronous processing, caching, data modeling, and service-to-service communication.
Experience with relational databases, preferably PostgreSQL, including schemas, migrations, ORMs, and performance considerations.
Experience with Redis or similar caching/message-oriented infrastructure.
Knowledge of Git, CI/CD, Docker, Kubernetes-based deployment, and cloud platforms such as AWS.
Strong debugging skills, practical production mindset, independent ownership, and effective collaboration.
Strong hands-on experience with Azure Data Explorer (ADX) and Kusto Query Language (KQL), including data modeling, ingestion, KQL functions, and performance-conscious query design.

Requirements:
We care about a particular mindset more than any specific item on a checklist. The person who'll thrive here is someone already living inside the modern AI stack - not planning to start. You read model release notes the way other people read the news. You've built real things with new tools the week they came out. Agentic dev workflows aren't something you've heard about; they're how you already work. When a new model drops, your first instinct is to put it on the bench. And underneath all of it, you're a builder - you ship, you write clean software, and you think about latency, cost, and what the user actually needs.

What We're Looking For

6+ years of software engineering experience, with the last few focused on AI / ML systems
Deep, hands-on experience designing and shipping agent systems in production - not demos. You understand agent architectures, memory, tool use, evaluation, and the failure modes that matter at scale.
Strong fundamentals in embeddings, RAG, and hybrid retrieval, with real experience designing vector storage and retrieval pipelines for production use
Deep production backend foundations - strong Postgres knowledge (functions, triggers, indexes, extensions, atomic operations, and similar depth), real-time client channels (WebSockets, SSE), async and event-driven backbones (pub/sub, queues, background tasks, webhooks), the ability to design systems and features around multithreading and multiprocessing, and dynamic resource management for high-throughput, latency-sensitive workloads.
Excellent architecture instincts and strong Python - you write code that scales and that other engineers can build on
Product sensibility - you can reason about trade-offs and what's worth building, not just what's technically possible

Requirements:
We expect you to have:

Solid experience with programming languages (like Go, Python, or C++);
Solid understanding of classic algorithms and data structures;
Commercial experience with and deep understanding of Unix systems and network technology;
Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

Requirements:
Technical Skills:
7+ years of software development experience, with a focus on debugging complex production systems in scalable SaaS environments
Strong ability to leverage modern AI tools to improve development speed and code quality
Strong expertise in Python and modern backend development practices
Understanding of cloud-native architecture (GCP/AWS)
Database: Strong experience with SQL and PostgreSQL
Proven track record of strong ownership over features through development, production, and maintenance
Bonus Qualifications:
Experience in AI-focused companies, particularly with NLP
Familiarity with vibe coding (either as a practitioner or with a well-reasoned perspective against it)
Experience with DevOps practices, including building and maintaining CI/CD pipelines and working with Docker and containerization technologies.

Requirements:
Must have:
* 3+ years of experience in an AWS FinOps role or similar cloud financial role.
* Proven experience in Cloud Financial Management and identifying savings opportunities.
* Expertise in managing AWS Payer account structures, RI, Savings Plans, and Spot strategies.
* Experience working with cost optimization tools (such as CloudHealth, Spot.io).
* Relevant AWS certifications.
* High analytical ability and drawing conclusions from complex consumption data.
* Ability to work independently and lead processes with clients.
* Excellent interpersonal communication and ability to present findings to management levels.
* Experience working with: AWS, CloudHealth, Spot.io.
Advantages:
* Business/sales orientation.
* Experience in managing billing disputes.
* Familiarity with other cloud providers (Azure/GCP).
* Previous experience in a consulting role

Requirements:
The Experience: 6+ years in backend engineering with a heavy leaning toward infrastructure, platform, or systems design.
The Tech Stack: Expert-level Node.js and TypeScript skills.
API Mastery: Strong experience with GraphQL (schema design, performance, and scaling).
The Data Layer: Deep understanding of MongoDB, Postgres and how to optimize it for high-scale environments.
The Mindset: You are a researcher by nature. You don't just "fix" things; you analyze the system, find the bottleneck, and re-engineer it for the future.

Requirements:
Experience: 5+ years of professional full-stack experience, with a proven, exceptionally strong foundation in backend engineering and shipping production-grade systems.
The AI Advantage: You are deeply fascinated by the AI space. Prior experience with Python, prompt engineering, working directly with LLM models, and building AI agents is a significant advantage.
Fearless Learner: You thrive in ambiguity and are eager to learn the intricacies of building seamless AI agents. You proactively keep your finger on the pulse of the latest market tools and models.
High Agency Team Player: You are highly collaborative but operate with immense ownership. You take the initiative to identify product bottlenecks or feature gaps and work seamlessly with the team to solve them.
Leadership Mindset: You enjoy lifting others up. You view collaboration, architectural discussions, and code reviews as critical opportunities to foster a culture of continuous learning and engineering excellence.

Requirements:
5+ years of B2B content marketing experience; devtools, infrastructure, or cloud is a strong plus.
Credibility with platform engineering, DevOps, and SRE audiences, and comfort with R&D-world technical content.
AI-first by default, with a real track record of using AI tools to produce and scale content.
Hands-on SEO ownership and genuine fluency in AEO and GEO.
Experience managing WordPress and external agencies.
Proven ability to draw content out of internal engineers and developer advocates.
Working knowledge of Kubernetes, cloud cost, or the DevOps ecosystem.
Comfortable with high autonomy in a high-growth startup.

Requirements:
BA in Finance / Economics / Accounting (Must-have)
MBA in Finance / Economics / Accounting
5+ years of treasury experience in global, multi-currency companies - (Must-have)
Proven experience in cash flow and debt management - (Must-have)
Experience with SAP / ERP and treasury systems (e.g., JDOX) - (Must-have)
Advanced Excel (pivot tables, complex formulas, modeling) and Power Point
Fluency in English.

Requirements:
BA in Finance / Economics / Accounting (Must-have)
MBA in Finance / Economics / Accounting
5+ years of treasury experience in global, multi-currency companies - (Must-have)
Proven experience in cash flow and debt management - (Must-have)
Experience with SAP / ERP and treasury systems (e.g., JDOX) - (Must-have)
Advanced Excel (pivot tables, complex formulas, modeling) and Power Point
Fluency in English.