Senior Software Engineer

Job Description:

• Experience in Core Java, Spring Boot.

• Experience in microservices.

• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.

• Should be able to analyze, design, develop and test complex, low-latency client-facing applications.

• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2

• Good knowledge of multi-threading

• Basic working knowledge of Unix/Linux

• Excellent problem solving and coding skills in Java

• Strong interpersonal, communication and analytical skills.

• Should be able to express their design ideas and thoughts. 

JOB POSITION- FULL TIME BACKEND ENGINEER (TRADING SYSTEMS)

Satsio is an African startup that is building a crypto exchange for both spot trading and perpetual futures trading. We have many exciting and innovative features and products in the pipeline. We are looking to add to our engineering team and we are recruiting for a full time backend engineer (trading systems).

How to apply:

After reading the job description, please complete the job application via the following link: https://forms.gle/wEdVVktX3iVLCqj59

Location

This is a fully remote position. We are accepting applications from worldwide candidates.

Remuneration

Salary range in USDT shown at the top of the advert, depending on skills, experience, and location, and subject to good performance, vesting shares of 1% of the business.

Requirements

·      Proficiency in Python and expertise in working with websockets

·      Proven experience in designing and implementing complex REST APIs

·      Project experience with Flask and Django

·      Proficient with Linux and experienced working with cloud servers

·      Excellent communication skills

·      Intellectually motivated and a quick learner

·      Fluent in both spoken and written English

Preferences

·      Proficient in C++ or another low latency language

·      Experience building matching engines and trading systems

·      Experience working in the crypto exchange industry

·      Experience with blockchain nodes, creating blockchain wallet systems, cryptocurrency deposit and withdrawal systems and optimising network fees

·      Familiar with the agile development process, Github flow, and modern software engineering practices

·      Align working hours with the standard 9am-6pm UTC+1 schedule

Key Responsibilities

·      Review and understand existing backend code base and make improvements where necessary

·      Matching engine and improving its speed

·      The system that updates user balances following user transactions and performs the necessary checks prior to permitting transactions

·      Cloud server configurations and deployment and cost optimisation of resources

·      Creating APIs with supporting documentation for users who trade algorithmically directly via APIs and not via the frontend

·      Work on our p2p trading product and KYC process

·      Building the perpetual futures trading product and integrating data from 3rd party APIs

·      Performing unit tests, integrated tests, performance tests and end to end tests

·      Working on various other backend tasks that the startup requires to be done

Startup culture

Our culture is one of constant innovation. Great teamwork, creativity, a passion for innovation, constantly trying to improve, being hard working, a self starter, a quick learner, taking initiative, a can do attitude, shipping product, loyalty, and having a positive mindset are all traits which we are seeking in our future colleague. We seek to create an environment whereby colleagues can see their long-term career to be with us and to flourish with us as we grow.

Skills:

• Expertise in Python 3 on AWS serverless
• Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
• Proficient in modern microservice-based architectures and methodologies.
• Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
• Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
• Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
• Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
• Experience with Github and advanced Github features (good to have).
• Must have worked as a part of Agile Teams and DevOps practices such as continuous Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.

Java, J2EE, Spring Boot, REST services, PostgreSQL

Experience with Elastic Search or any NoSQL DB is preferable