דרושים » תוכנה » Senior Software Engineer

Requirements:
5+ years of experience as a Backend, Data, or Infrastructure Engineer building large-scale backend systems and data-driven platforms.

B.S. in Computer Science or a similar field.

Proven backend development skills with expertise in Python. Additional languages, a plus.

Proven experience with distributed systems, microservices, building and maintaining robust backend APIs.

Proficiency with databases (SQL, NoSQL), data modeling, and streaming data architectures.

Ability to work in an office environment a minimum of 3 days a week.

Enthusiastic about learning and adapting to the rapidly evolving world of AI and data-driven engineering.

Past experience with modern data stacks (e.g., Snowflake, Kafka, Airflow, DBT, Spark), an advantage.

Strong understanding of cloud infrastructure and orchestration (preferably AWS, K8s, Terraform/Pulumi), an advantage.

Requirements:
5+ years of backend development experience with strong skills and a genuine passion for server-side technologies.
Proven experience building and maintaining large-scale, low-latency, distributed systems.
Solid understanding of service lifecycle management and efficient resource utilization.
Hands-on experience with machine learning integration in production systems.
Proficiency in backend programming languages such as Java and Scala
Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
Strong problem-solving skills, ownership mindset, and ability to thrive in high-impact environments.
You might also have
Experience with ML frameworks such as TensorFlow, PyTorch.
Experience with inference servers such as Triton, TensorFlow Serving.

Requirements:
5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems
Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code
Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming)
Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
Solid hands-on experience with event-streaming platforms such as Apache Kafka
Familiarity with data-orchestration frameworks such as Airflow
Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure)
Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners
Bonus Skills
Experience building data governance or security/compliance-aware data platforms
Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
Experience with data quality frameworks, lineage, or metadata tooling.

Requirements:
6+ years of experience in object oriented programming and infrastructure development
BSc in computer science or equivalent (please include GPA)
Strong end-to-end ownership mindset
Proven experience and strong understanding of big data systems, including hands-on work with a variety of database technologies
Proven experience as a tech leader, including mentoring and guiding of others
Production systems experience
Product driven and business oriented
Strong analytical skills
Fearlessness to dive into what you dont know
Passion for solving complex scaling challenge
Willing to work intensively to gain fast results in an unknown field
High self-learning abilities
Excellent communication and collaboration skills to work across teams
Bonus points if you have:
Experienced developing large scale distributed systems, Experienced with Web/JS, Experienced with Kafka / Docker / K8S, Experienced with NoSQL and big data distributed DB (Vertica / Cassandra / ES / BQ) Experienced with Spark / HDFS.

Requirements:
5+ years of experience in backend development using a high-level programming language such as Python.
Extensive experience with cloud platforms (AWS, Azure, GCP); advantage for experience with large-scale SaaS B2B solutions on public cloud infrastructure.
Proven experience in designing and developing large-scale distributed systems in the cloud, with hands-on experience in microservices architecture and cloud-native services.
Strong knowledge of cloud networking and compute/serverless technologies.
Deep understanding of software design principles, including concurrency, synchronization, memory management, data structures, and algorithms.
Ability to see the big picture, break down complex problems, and implement efficient solutions.
Self-motivated, passionate, and proactive approach to problem-solving.
Experience in the field of cyber security - an advantage.

Requirements:
6 + years of proven experience in designing and building large-scale production systems.
Strong Java and/or Python skills.
Experience (or good familiarity) with streaming technologies such as Storm, Flink, Spark Streaming.
Familiarity with concepts such as Queue/DLQ, Topics and general streaming practices (backpressure, circuit-breaker, etc).
Experience with various databases or data stores such as Elasticsearch, Redis, MySQL, Couchbase, MongoDB, Cassandra, Aerospike, etc.
Experience with AWS or other public clouds.
Excellent communication and interpersonal skills.
It'd be cool if you also: [not a must]
Profiled and optimized code to the millisecond level.
Experience with event streaming frameworks.
Strong written-English skills.

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes they arent the only factor.
If you dont have every skill listed here but believe youd be a great fit, wed still love to hear from you!
6+ years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design, clean architecture, and scalable distributed systems.
Proven experience in leading end-to-end feature development from design through implementation, testing, and deployment.
Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
Proficiency with relational databases (PostgreSQL, MySQL, etc.).
Strong programming skills in Python are a must.
Experience with LLMs in production is a strong advantage.
Experience with cloud platforms (AWS or equivalent) is a plus.
Independent, fast learner, and passionate about exploring new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.

Requirements:
Bachelors degree in Computer Science, Engineering or relevant experience
5+ years of professional software development experience
Proven experience building data-intensive systems at scale
Experience in working with micro-service architecture & cloud-native services
Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc
Hands-on experience with databases such as SingleStore, Postgres, Elasticsearch, Redis
Experience with Python / Go (Advantage)
Experience with distributed data processing tools like Kafka (Advantage)

Requirements:
Team player at heart.
Hands-on Backend Experience in developing a large-scale, high throughput system.
Experience designing and scaling distributed data processing systems.
7+ years of experience as a Software Engineer.
5+ years of experience with High level server-side frameworks, Preferably Python.
Experience with AWS or other cloud services.

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience.
2+ years of professional experience in software development.
Strong understanding of security principles and experience with security technologies (e.g., encryption, hashing, authentication, security protocols).
Experience with secure cloud and on-premise data storage practices, securing data transport (e.g., HTTPS, TLS, VPN) and secure key management practices.
Understanding of secure software development lifecycle (SDLC) practices.
Experience with Git version control.
Experience working in an Agile development environment and familiarity with Agile methodologies.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
Proficiency in JavaScript and experience with Node.js, experience with front-end frameworks, particularly Vue.js and familiarity with the Go programming language.
Experience with cloud services such as AWS.
Knowledge of containerization technologies like Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with database management and design (SQL and NoSQL).
Experience with distributed systems and decentralized applications (dApps, Web3), proficiency in programming languages commonly used for blockchain development (e.g., Solidity, Hyperledger Fabric). Experience in developing smart contracts.
Strong understanding of blockchain technology, including consensus mechanisms, cryptography, and smart contracts. Experience working with private blockchains or other distributed ledger technologies (DLTs).
Knowledge of common security vulnerabilities (e.g., OWASP Top Ten) and mitigation strategies.
Familiarity with compliance standards and regulations (e.g., GDPR, HIPAA, ISO).
Experience with security tools such as static code analysis tools, vulnerability scanners, and penetration testing tools.
Proven experience in implementing secure coding practices and conducting security audits.
Contributions to open-source projects or participation in the tech community.