Senior Golang Developer

Senior Golang Developer

Posted 7 days ago by Forsyth Barnes

£500 Per day
Outside
Hybrid
London Area, United Kingdom

Summary: The Senior Golang Developer role involves working with an award-winning organization that specializes in data science and payments data to combat financial crime. The position requires expertise in Golang and Python, as well as experience with high-throughput solutions and contemporary service design approaches. The developer will engage in a devops-based workflow, collaborating with various stakeholders to ensure high-quality code and performance optimization. This is a hybrid role based in London, with a contract length of six months and potential for extension.

Key Responsibilities:

  • Write and review high-quality code in Golang and Python with appropriate testing.
  • Work with large volumes of data and develop low latency solutions using Kafka and Kubernetes.
  • Engage in contemporary service design, including container orchestration and streaming data platforms.
  • Participate in a devops-based software development workflow, including CI/CD processes.
  • Communicate effectively with stakeholders, including data scientists and security professionals.
  • Optimize solution performance and engage with machine learning technologies and feature engineering.

Key Skills:

  • Proficiency in Golang and Python, with experience in SQL.
  • Familiarity with Kafka, Kubernetes, and container orchestration technologies.
  • Experience in devops practices and CI/CD workflows.
  • Strong problem-solving skills with the ability to choose appropriate solutions.
  • Ability to communicate with diverse stakeholders and engage in code review best practices.
  • Interest in productionizing machine learning technologies.

Salary (Rate): £500 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Title : Senior Golang Developer

Pay : £500 per day

Location : Hybrid (2 days in the London office a week)

IR35 : Outside

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.