Backend Engineer

Backend Engineer at Connecteam

Connecteam is a TLV-based startup revolutionizing the work experience for 80% of the global workforce — the deskless workforce. Our all-in-one workforce management solution empowers over 36,000 businesses worldwide to efficiently communicate, operate, and train their frontline employees.

We are expanding our team and seeking a talented, experienced, and passionate Senior Backend Engineer to join our TLV-based team. Join us and play a crucial role in transforming the future of work.

What You'll Do as a Backend Engineer:

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

• Develop internal tools for various teams at Connecteam.
• Build and maintain microservices and APIs to support diverse workflows.
• Operate in a real-time, event-driven environment.
• Create and manage data pipelines.
• Take ownership of multiple systems and products.
• Develop and deploy machine learning pipelines to production in an event-driven architecture.
• Work in a multi-cloud environment (Azure/GCP/AWS).
• Integrate third-party tools with our platform.
• Translate business requirements into technical specifications.

Our Tech Stack:

Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S)

Qualifications:

• Experience: Minimum 5 years as a Backend Engineer.
• Proficiency in Python: At least 5 years of experience, or expertise in an equivalent programming language.
• Microservices and APIs: Proven experience in writing and maintaining microservices and REST APIs.
• SQL Expertise: Strong proficiency in SQL.
• Event-Driven Development: Hands-on experience with event-based development.
• Big Data Experience: Familiarity with big data and high-velocity/volume systems is a plus.
• Cloud Environments: Experience with multi-cloud environments (Azure, GCP, AWS).

Why Join Connecteam?

• Impact: Work on innovative solutions that directly impact the productivity and efficiency of frontline workers globally.
• Growth: Join a rapidly growing startup with ample opportunities for professional development.
• Collaboration: Work closely with cross-functional teams to shape the future of our platform.
• Tech-Driven: Utilize the latest technologies and tools in a dynamic and supportive environment.
• Culture: Thrive in a culture that values speed, communication, and transparency.

Our Hiring Process:

At Connecteam, we value speed and transparency. Our hiring process is designed to be swift and communicative, ensuring you have a seamless experience from application to (hopefully) signing with us.

Joining Connecteam Is The Smart Move:

• We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties.
• We make an impact on our customer's business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business.
• We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers.
• We have fun! From weekly happy hours to holiday parties, we always enjoy each other's company (and good food, of course). Connecteam is like one big, happy family!
• Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives.

Together we will shape the future of work!

Key Skills/Competency:

• Python programming
• Microservices architecture
• RESTful APIs
• SQL database management
• Event-driven systems
• Data pipelines
• Cloud platforms (Azure, GCP, AWS)
• Kubernetes (K8S)
• BigQuery
• System ownership