דרושים » תוכנה » Senior Consulting Engineer

Requirements:
B.Sc. in Computer Science or equivalent.
5+ years of proven experience in hands-on server-side coding (any OOP language, ex. Node.js, Java, C#, etc.).
3+ years of experience working as part of development teams.
Designing and building the backend of complex in-house systems.
Production experience with SQL databases.
Experience with Agile methodologies while working in teams.
Ability to work closely with the product team and create technical designs based on product specs.
Team player with strong communication skills and the ability to provide mentorship to teammates.
Independent self-learner that knows how to meet deadlines.
Excellent organizational, analytical and problem-solving skills.

Requirements:
7+ years of fullstack experience, with a strong backend focus.
Deep expertise in Python, Node.js, TypeScript, and PostgreSQL (or similar relational DBs).
Proven experience in high-scale data systems, including data ingestion, aggregation, and performance tuning.
Advantage - Experience in ClickHouse DB / OpenSearch
Strong understanding of data modeling, denormalization, and API performance optimization.
Familiarity with React and modern frontend frameworks for connecting and visualizing backend data.
Experience with CI/CD pipelines, Kubernetes, Docker, and cloud-native architectures.
Strong collaboration, communication, and problem-solving skills, you love working across disciplines to deliver impact.
Experience in startups or high-growth environments, where speed, ownership, and quality go hand-in-hand.

Requirements:
We are seeking a highly experienced, hands-on builder and technical leader who can independently drive innovation and impactful contributions to complex systems.

Must-Haves:

Experience: 5+ years of vast hands-on software development experience, with at least 2-3 years in a senior software engineering role focused on significant impact.

Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design and K8S.

SaaS & Data Systems: Proven track record designing and building scalable SaaS platforms or complex data-driven systems.

Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines.

Cloud Platforms: Experience with cloud platforms, especially AWS, for deploying and managing applications.

Impact & Leadership: Demonstrated ability to mentor junior engineers and provide technical leadership, driving impactful contributions.

Entrepreneurial Mindset: A passion for solving challenging technical problems, thriving in fast-paced, dynamic environments.

Requirements:
10+ years of hands-on experience designing and developing complex, production-grade systems.
Proven track record in architecting and leading large-scale software projects.
Deep understanding of system design, distributed systems, and software architecture patterns.
Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#).
Experience with cloud environments (AWS or equivalent), containerized deployments, and infrastructure as code (e.g., Docker, Kubernetes, Terraform).
Experience designing and scaling event-driven architectures and data-intensive systems.
Excellent communication and influencing skills - able to align multiple teams toward a shared technical vision.
A proactive mindset, strong sense of ownership, and passion for solving complex engineering problems.

Requirements:
Minimum of 6+ years of professional experience in backend development, with a strong proficiency in Node.js and TypeScript.
Experience working with backend frameworks such as Nest.js or similar frameworks.
Solid understanding of relational databases and experience with PostgreSQL or similar database technologies.
Familiarity with CI/CD pipelines, version control systems (e.g., Git), and agile development methodologies.
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience).
Excellent problem-solving skills and ability to troubleshoot complex issues in a fast-paced environment.
Strong communication and collaboration skills to work effectively within a multidisciplinary team.

Requirements:
10+ years of software engineering experience with deep production-level mastery of Go and/or Java (Python a plus), and a strong track record of building and operating high-scale distributed backend services.
A track record of being a recognized subject-matter expert others seek out to review and elevate their designs, with a passion for building high-scale distributed systems.
Platform thinking: proven experience building and evolving platforms, not just features, with a focus on API design (gRPC, REST), service boundaries, multi-tenancy, and shared infrastructure in a high-scale SaaS environment.
Strong background in distributed data processing and microservices, building high-quality, scalable data products that handle millions of events per second.
Deep experience with AWS and/or GCP, Kubernetes, Docker, Postgres, Redis, Kafka, Cassandra, and ClickHouse.
Hands-on experience leveraging AI in the development process (e.g. AI coding assistants and agentic dev tools such as Claude Code, Cursor, or Copilot) and a desire to reshape how a team builds software to better utilize AI.
Experience embedding AI into production services, building agentic and LLM-powered capabilities. Familiarity with modern techniques such as agentic frameworks and orchestration, retrieval-augmented generation (RAG), the Model Context Protocol (MCP), vector databases, prompt engineering, and evaluation and guardrail frameworks for reliable AI systems is a strong advantage.
The ability to turn vaguely specified, complex requirements into efficient, future-proof end-to-end designs, and to drive multi-team initiatives and influence the engineering roadmap.
Strategic communication: able to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
Ability to swiftly delve into new products, and to collaborate effectively with local and remote teams across time zones.
Customer focus: you care about delivering value and want to hear directly from customers on how to evolve your systems.
Previous experience developing security-related products is a strong advantage.

Requirements:
7+ years of professional software engineering experience, with significant hands-on experience in both backend and frontend development.
Deep knowledge of Go or Python for backend services, and React with TypeScript for frontend applications.
Experience designing and working with distributed systems and microservices architecture.
Proven experience with backend testing frameworks such as Pytest or unittest for Python, and Gos testing package along with tools like testify or gomega.
Strong understanding of web fundamentals, API design, system scalability, and data processing.
Experience with performance monitoring and visualization tools like Grafana or Datadog.
A product-driven mindset with an eye for good UX and intuitive design.
Proven experience with testing practices across the stack.
Experience with CI/CD pipelines, Docker, and cloud-native infrastructure.
Strong sense of ownership, collaboration, and accountability.
Excellent communication skills and ability to work cross-functionally.

Requirements:
6+ years of experience in software development with Python; TypeScript or JavaScript a plus
In-depth understanding of modern SaaS application architecture and best practices
Strong experience with relational databases (PostgreSQL) and at least one NoSQL store (MongoDB preferred)
Comfortable writing and optimizing analytical SQL over large datasets (Athena, BigQuery, Snowflake, or equivalent)
Demonstrated experience building and operating microservices in a cloud-native environment, preferably AWS
Experience with asynchronous, message-driven systems (Kafka, SQS, or similar)
Hands-on experience using AI development tools (Claude, Cursor, Copilot) in day-to-day engineering
Strong organizational skills with the ability to prioritize effectively
A Bachelors degree in Computer Science, Engineering, or equivalent experience
Self-motivated with a passionate approach to work
Familiarity with frameworks such as FastAPI and NestJS - an advantage
Experience with workflow orchestration (Dagster, Airflow, Prefect, or similar) - an advantage
Background in the Cyber Security or Data Security domain (DSPM, DLP, DDR, or data governance) - an advantage
ML pipeline or NLP exposure - an advantage

Requirements:
5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
Strong debugging, problem-solving, and system-level thinking
Hands-on experience with Linux environments and shell scripting
Experience working with logs, monitoring, and technical investigation of system failures
Comfortable using AI tools as part of the daily development and automation workflow
Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have :
Experience working on cybersecurity products, security platforms, or detection/response systems
Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
Familiarity with Kubernetes and distributed system architectures
Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
Experience with message queues such as RabbitMQ
Experience in performance, load, reliability, or resilience testing
Experience improving observability, logging, and alerting for test and production-like environments

Requirements:
5+ years of experience as a Software Engineer, building production-grade systems.
Strong experience with backend development and building scalable servies.
Proficiency in one or more modern programming languages such as Go / Python / Java / Node.js - Go adds more points, but all accepted.
Experience designing and working with distributed systems, microservices, and event-driven architectures.
Strong understanding of data structures, system design, and engineering fundamentals.
Experience working with databases (SQL) and designing data models.
Familiarity with cloud environments (AWS preferred, GCP or Azure also relevant).
Experience with Docker and Kubernetes - advantage.
Strong troubleshooting skills, ownership mindset, and ability to work independently.
Excellent communication skills and a collaborative, can-do approach.
Experience working in a fast-paced startup environment - advantage.
Background or interest in security / cloud security - strong advantage