Senior Golang Engineer
Posted 1 week ago by Forsyth Barnes
£500 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The Senior Golang Engineer role involves developing high-quality software solutions in a hybrid work environment, primarily focused on payments data to combat financial crime. The position requires expertise in Golang, Python, and SQL, along with experience in handling large data volumes and modern service design approaches. The engineer will collaborate with various stakeholders and contribute to the continuous improvement of the development process. This role is outside IR35 and offers a competitive day rate.
Key Responsibilities:
- Write and review high-quality code with tests.
- Develop solutions using Golang, Python, and SQL in a production environment.
- Work with large data volumes and implement low latency solutions using Kafka and Kubernetes.
- Engage in contemporary service design approaches, including container orchestration and streaming data platforms.
- Participate in a devops-based software development workflow, including CI/CD processes.
- Communicate effectively with stakeholders across various roles.
- Implement best practices for code review, version control, and change control.
- Optimize solution performance within technology constraints.
- Engage with productionizing machine learning technologies and feature engineering.
Key Skills:
- Proficiency in Golang, Python, and SQL.
- Experience with Kafka and Kubernetes.
- Understanding of service design and container orchestration.
- Ability to work in a devops environment.
- Strong communication skills with diverse stakeholders.
- Experience with code review and version control best practices.
- Problem-solving skills with a focus on performance optimization.
- Interest in machine learning technologies and feature engineering.
Salary (Rate): £500 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Title : Senior Golang Engineer
Location : Hybrid (2/3 days in the London office a week)
IR35 : Outside
Day Rate: £500 per day
Contract Length: 6 month (potential for extension)
Contact : matthew.makranczy@forsythbarnes.com
We are partnered with an award-winning organisation that combines cutting-edge data science with deep expertise in payments data to support financial institutions in the fight against money laundering and fraud. Their innovative, bespoke services help clients uncover the criminal behaviours behind financial crime.
Requirements:
- You are detail oriented and enjoy writing and reviewing code to a high standard with tests to prove it.
- Demonstrable ability to write high quality Python/Golang and SQL in a production context.
- You are happy to learn new programming languages and frameworks as necessary.
- Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes
- You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores.
- You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation.
- You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment.
- You are also happy to be evolve along with the development process and contribute to its success.
- You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers, devops and security professionals.
- You have the ability to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale-up stage software engineering.
- You have experience optimising solution performance with a constrained set of technologies.
- You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering.