Software Engineer (Hybrid)

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Our Partner

Our partner is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability.

Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers.

Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge.

Overall Objective of the Role

We are looking for a software engineer to join our AI-Ops team as part of a rapidly evolving Network Automation project. This role focuses on building and operating production-grade services using Python, with exposure to Golang, in a distributed microservices environment leveraging technologies such as Kafka and Pulsar. If you enjoy solving complex operational problems, taking end-to-end ownership, and working close to real network systems, we’d love to hear from you.

Responsibilities

• Design, develop, and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data traffic volumes.
• Continuously monitor and improve the performance of microservices and data pipelines. This includes load testing, identifying bottlenecks, and implementing solutions for scalability.
• Work collaboratively with cross-functional teams, including DevOps, System Architects, Data Engineers, and Product Managers, to align development with business goals.
• Take end-to-end ownership of services, from design and implementation through testing and deployment.
• Design and maintain automated tests (unit, integration, and system-level) to ensure reliability and long-term maintainability.
• Contribute to infrastructure and deployment automation, working closely with DevOps practices and tools to ensure services are observable, resilient, and production-ready.
• Maintain high-quality documentation for all code, adhere to coding standards, and promote best practices within the team.
• Stay updated with the latest in Python, microservices, AI, and messaging technologies. Propose and implement innovative solutions to enhance our AI-Ops capabilities.
  
  
  

Requirements

Must Have:

• 3-5 years of experience in software development.
• Solid Python programming skills with a deep understanding of frameworks such as Flask, FastAPI, or Django.
• Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization.
• Strong experience in developing and managing microservices architecture, with a focus on scalability, fault tolerance, and distributed systems.
• Experience taking ownership of services in production, including testing, deployment, monitoring, and troubleshooting.
• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
• Working knowledge of computer networking fundamentals, including IP networking, routing, and troubleshooting in distributed systems.
  
  
  

Nice To Have

• Experience with data stream processing pipelines and data analytics.
• Strong background in computer networking, including advanced routing and switching concepts (e.g., CCNP-level knowledge or equivalent experience).
• Knowledge of Docker and Kubernetes for containerization and orchestration.
• Familiarity with CI/CD pipelines and tools like GitHub actions or K8s Helm charts.
• Experience with Golang programming language or willingness to learn and contribute to Go-based services.
  
  
  

Reasons to Work with Us

• Competitive financial conditions.
• Opportunity to work on internationally recognized projects.
• Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
• An exciting career path within a friendly, dynamic, and growing organization.
• Professional development opportunities in a multicultural environment.
• Private medical coverage with Medlife or Regina Maria.
• Meal vouchers.
• Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
• Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
• Team-building events and other social experiences.
• Budget allocated for certifications relevant to your project.
• Workshops, internal training sessions, and knowledge-sharing opportunities.
• Access to LinkedIn Learning, upon request.
• Convenient city-center office location.
• Shared parking spaces.
  
  
  

As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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