The Role
Senior Software Engineer responsible for translating requirements into scalable solutions, designing cloud-native infrastructure, developing Python software, building ETL pipelines, managing SQL and NoSQL databases, and automating deployments. The role involves distributed systems, microservices, event-driven architectures, observability, testing, technical documentation, mentoring, and defining engineering standards. Experience with Kubernetes, cloud platforms, streaming and batch data pipelines, and CI/CD is required.
Summary Generated by Built In
We’re looking for an
experienced software engineer who enjoys taking ownership of projects from
concept to deployment. You’ll be part of a collaborative team where your
technical judgement, hands-on skills, and ability to see the bigger picture
will be highly valued. Your main responsibilities will include:
- Translating functional
requirements into robust, scalable
technical solutions.
- Designing and deploying
infrastructure, ideally using Kubernetes and
cloud-native tools.
- Writing high-quality software, primarily in Python, following best practices in design,
testing, and maintainability.
- Building and maintaining ETL
pipelines, working with large-scale datasets.
- Managing relational and
non-relational databases with confidence
and autonomy.
- Automating deployments and
integrations, contributing to the evolution of
our DevOps practices.
- Collaborating with technical
and non-technical stakeholders, bringing
clarity, structure, and technical insight to the table.
Requirements
We’re looking for someone with a solid technical foundation, hands-on experience, and a proactive mindset. Ideally, you’ll bring:
- 6+ years of relevant professional experience in software development.
- Experience designing event-driven distributed systems using messaging technologies such as Kafka, Pulsar or RabbitMQ, with asynchronous communication patterns and scalable data ingestion pipelines.
- Experience designing scalable distributed applications with microservices, high availability, fault tolerance, resiliency and performance optimisation.
- Experience designing large-scale batch and streaming data pipelines, analytical data models and modern storage formats such as Parquet.
- Experience implementing unit, integration, end-to-end and API contract testing to ensure software quality and maintainability.
- Experience designing observable systems using metrics, logging, distributed tracing and tools such as Prometheus and Grafana.
- Experience with cloud platforms (e.g. AWS, GCP, Azure).
- Strong programming skills in Python, with clean, maintainable code.
- Experience working with Kubernetes and containerised environments.
- Familiarity with CI/CD pipelines and modern development workflows.
- Experience designing or maintaining ETL processes, especially when working with large volumes of data.
- Solid understanding of databases (SQL and/or NoSQL), data modelling, and performance considerations.
- A good grasp of software architecture principles and the ability to make sound technical decisions.
- Experience producing architecture documentation, leading technical discussions, mentoring engineers and defining engineering standards and best practices.
Nice to have:
- Comfortable working in a collaborative environment, with autonomy and ownership.
- Familiarity with mobile network KPIs, alarms, OSS concepts and 4G/5G network data structures.
Benefits
- Competitive salary, health insurance and Flexible Compensation Plan as an enterprise benefit
- Annual training budget to help you stay technologically up to date and grow professionally.
- Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit. In addition, we enjoy a reduced working day on Fridays and Summer (July and August)
- Our projects are cutting-edge in technology and are in both national and international environments, making your growth global
- We provide a flexible working model, adapted to the needs of each role and team, with options from remote to hybrid or office-based arrangements.
- Our employee satisfaction survey tells us that we have a great work environment and great professionals in the company. Do you want to check it? Join us!
Skills Required
- 6+ years of relevant professional experience in software development
- Experience designing event-driven distributed systems using Kafka, Pulsar, RabbitMQ, or similar messaging technologies
- Experience with asynchronous communication patterns and scalable data ingestion pipelines
- Experience designing scalable distributed applications using microservices, high availability, fault tolerance, resiliency, and performance optimization
- Experience designing large-scale batch and streaming data pipelines, analytical data models, and modern storage formats such as Parquet
- Experience implementing unit, integration, end-to-end, and API contract testing
- Experience designing observable systems using metrics, logging, distributed tracing, Prometheus, and Grafana
- Experience with cloud platforms such as AWS, GCP, or Azure
- Strong programming skills in Python
- Experience working with Kubernetes and containerized environments
- Familiarity with CI/CD pipelines and modern development workflows
- Experience designing or maintaining ETL processes involving large data volumes
- Strong understanding of SQL and/or NoSQL databases, data modeling, and performance considerations
- Understanding of software architecture principles and sound technical decision-making
- Experience producing architecture documentation, leading technical discussions, mentoring engineers, and defining engineering standards
- Comfort working collaboratively with autonomy and ownership
- Familiarity with mobile network KPIs, alarms, OSS concepts, and 4G/5G network data structures
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The Company
What We Do
Future Connections is a telecommunications technology company that develops AI-based, multi-technology solutions for operators and service providers. Its offerings address customer experience, network assurance, radio-access-network (RAN) optimization, automation, and analytics. The company combines network data, cloud infrastructure, software, and intelligent automation to improve operational efficiency, reduce costs, monitor performance, and support more autonomous management across complex, multi-vendor telecom environments for operators worldwide.
