Mission Context :
The team you will join develops and maintains several software products linked to real‑time operation and optimization of energy assets, including:
Real Time Control Services :
These services receive control signals every few seconds from grid operators or optimization algorithms, compute the optimal allocation across assets (e.g., batteries, renewable parks), and send the corresponding setpoints back in real time.
Low Latency Data Acquisition & Streaming :
A dedicated component continuously collects and processes real‑time telemetry from physical assets (electrical data, performance data, status indicators).
This data is made available to forecasting engines, optimization algorithms, visualization tools, and other internal systems through high‑throughput, low‑latency data streams.
Connectivity Between IT and Industrial Systems :
The system integrates with industrial supervisory systems (SCADA), enabling secure and reliable data exchange.
You will collaborate with architects, developers, analysts, and business/domain experts to design and evolve these platforms.
Key Responsibilities :
Architecture & Technical Leadership :
- Lead a team of 3–5 software engineers, offering guidance on design, development, testing, and delivery practices.
- Facilitate technical discussions with functional analysts, operations teams, and domain experts.
- Translate business and operational needs into robust, scalable system architectures.
- Produce clear architectural documentation: diagrams, sequence flows, API specifications, interaction models, component breakdowns.
- Evaluate technical solutions and propose improvements regarding performance, resilience, observability, and maintainability.
- Promote best practices aligned with modern cloud, DevOps, and distributed systems engineering.
Hands‑On Engineering :
- Break down new features and architectural evolutions into agile, incremental development steps.
- Develop backend services and high‑performance APIs using C#.NET.
- Implement automated testing frameworks, CI/CD pipelines, and deployment automation.
- Contribute to containerized and cloud‑native deployments, including Kubernetes-based orchestrations.
- Ensure robust observability by defining metrics, logs, alerts, and dashboards.
- Participate in the full lifecycle of applications: development, testing, deployment, documentation, operations, and troubleshooting.
- Produce user guides and operational documentation.
- Support monitoring, incident analysis, and level‑2 technical support, ensuring stable and reliable production operations.
- Identify root causes of recurring issues and propose long-term solutions.
Required Hard Skills :
Software Engineering & Architecture :
- At least 6+ years of experience in software development, technical design, and architectural responsibilities.
- Advanced proficiency in C# / .NET, including async programming, multithreading, and performance optimization.
- Strong experience designing or maintaining event-driven architectures, including:
- Kafka
- Azure Event Hub
- MQTT
- Azure Service Bus
- Solid understanding of distributed system principles:
- High availability, scalability, and resilience
- Ordering and idempotency
- Fault tolerance and error-handling strategies
- Backpressure mechanisms
- Streaming data concepts
Cloud & Infrastructure :
- Hands-on experience with Azure Cloud (or experience with AWS and willingness to switch).
- Production experience with Kubernetes, including:
- Workload deployments
- Autoscaling
- ConfigMaps & secrets
- Observability and monitoring of Pods
- Experience with stateful components, particularly Redis for caching or state management.
- Good knowledge of SQL databases, especially PostgreSQL.
- Familiarity with Azure Data Explorer is a plus.
DevOps & Observability :
- Strong testing culture: unit tests, integration tests, test automation, production validation.
- Experience with observability tooling such as:
- Grafana
- Prometheus
- or similar monitoring systems
- CI/CD experience with GitHub Actions, including continuous deployment setups.
Additional Valuable Skills :
- Experience with at least one of the following languages/environments:
- Scala (cloud services)
- Rust (edge computing)
- Python (collaboration with analytics teams; useful for rewriting some modules in C#)
- Experience contributing to large-scale real-time or mission-critical systems.
- Familiarity with energy or industrial systems is appreciated but not mandatory.
Required Soft Skills :
- Proactive, positive, and highly collaborative mindset.
- Ability to decompose complex technical problems and propose practical, scalable solutions.
- Strong communication skills with both technical and non‑technical stakeholders.
- Leadership capabilities: mentoring, decision‑making, and team support.
- Sense of ownership, accountability, and attention to detail.
- Humility, openness to feedback, and commitment to teamwork.
Languages
- Fluent English (required).
- Fluency in French or Dutch
All our positions are open to both women and men and are, of course, open to people with disabilities.
Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.
With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.
Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.
In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.
Originally posted on Himalayas