Softemy
Expertise

Deep in the system.
Clear on the outcome.

Three connected disciplines, grounded in hands-on engineering. Explore the problems, the scope and the technical depth behind each.

01

Systems & performance

When a system is slow, resource-hungry or difficult to evolve, the first step is to understand why. The work covers software architecture, implementation and performance analysis across Linux services and high-throughput applications.

C · C++ · Java · Python · Linux · Valgrind · Callgrind · Helgrind · GDB

See the probing-engine redesign

Work can include

  • Profiling CPU, memory and concurrency behaviour.
  • Redesigning performance-critical components.
  • Building C/C++, Java and Python services.
  • Reviewing architecture and making technical tradeoffs explicit.
  • Moving a prototype towards a maintainable production implementation.
02

Networking & resilience

Reliable recovery starts with clear failure detection and well-defined behaviour. The experience here covers monitoring and traffic steering, software-defined networking, routing protocols, mobility and multi-homing.

It also includes architecture and security responsibilities in air traffic management, with work on ED-109/ED-153 software assurance requirements and SESAR research.

OpenFlow · OpenDaylight · NETCONF/YANG · Segment Routing · PCEP · LISP · SNMP · DTN / Bundle Protocol v7

See the failover improvements

Work can include

  • Monitoring and traffic-steering architecture.
  • Failover analysis and recovery improvements.
  • SDN controller and protocol development.
  • Network configuration and telemetry integration.
  • Research prototypes, interoperability work and field trials.
03

Cloud & delivery

Infrastructure, deployment and observability are part of the software system. This work connects application behaviour with the platform and processes needed to operate it.

Google Cloud · Docker · Kubernetes · OpenStack · Terraform · Ansible · Jenkins · Prometheus · Grafana · RabbitMQ · JMeter

See the ticketing infrastructure

Work can include

  • Autoscaling cloud infrastructure and infrastructure as code.
  • Build, test and deployment pipelines.
  • Monitoring, dashboards and load testing.
  • Microservice and event-driven architecture.
  • Distributed workload placement and orchestration.

A practical starting point.

Review an architecture, investigate a bottleneck, implement a critical component, or work alongside your existing team. Start with the constraints, the current behaviour and the outcome you need.

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