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As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:
C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.
Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.
Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.
Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.
Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.
Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).
Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.
Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.
Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.
Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.
Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.
Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.
Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.
- Proficient experience of minimum 3 years into C++ & experience using MFC library.
- Good experience into C# programming.
- Working experience into COM.
- Good Communication skills.
About this roleWe are seeking an experienced MongoDB Developer/DBA who will be
responsible for maintaining MongoDB databases while optimizing performance, security, and
the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in
ensuring our data infrastructure runs smoothly.
You'll have the following responsibilities
Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,
maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the
database setup and architecture.
Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide
consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.
Service and Governance wrap will be in place to restrict over provisioning for server size,
number of clusters per project and scaling through MongoDB Atlas
Gathering and documenting detailed business requirements applicable to the data
layer.Responsible for designing, configuring and managing MongoDB on Atlas.
Design, develop, test, document, and deploy high-quality technical solutions on the
MongoDB Atlas platform based on industry best practices to solve business needs.
Resolves technical issues raised by the team and/or customer and manages escalations as
required.
Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate
and collaborate with other technical resources and customers in providing timely updates
on status of deliverables, shedding light on technical issues, and obtaining buy-in on
creative solutions.
Write procedures for backup and disaster recovery.
You'll have the following skills & experience
Excellent analytical, diagnostic skills, and problem-solving skills
Should understand the Database concept and develop expertise in designing and
developing NoSQL databases such as MongoDB
MongoDB query operation, import and export operation in database
Experience in ETL methodology for performing Data Migration, Extraction,
Transformation, Data Profiling and Loading
Migrating database by ETL, migrating database by manual process and designing,
development, implementation
General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,
subnets, routing tables, nat / internet gateways, dns, security groups)
Experience using Terraform as an IaC tool for setting up infrastructure on AWS
CloudPerforming database backups and recovery
Competence in at least one of the following languages (in no particular order): Java, C++,
C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go
Excellent communication skills, often being able to compromise but draw out risks and
constraints associated with solutions. Be able to work independently and collaborate with
other teams
Proficiency in configuring schema and MongoDB data modeling.
Strong understanding of SQL and NoSQL databases.
Comfortable with MongoDB syntax.
Experience with database security management.
Performance Optimization - Ensure databases achieve maximum performance and
availability. Design effective indexing strategies.
With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.
As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.
You Are A Part Of:
DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.
Job Responsibilities:
Responsibilities include, but are not limited to:
• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.
• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.
• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.
• May design and develop automated test suites.
• May maintain lab equipment.
Required Skills and/or Experience:
• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.
• 5-10 years related industry experience required.
• 5+ years software development in C or C++ is required.
• 3-5 years’ experience working in a Linux environment is required.
• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.
• Experience with debugging tools such as GDB is required.
• Experience with source control and shared build environments is required.
Our company is seeking to hire a skilled software developer to help with the development of our AI/ML platform.
Your duties will primarily revolve around building Platform by writing code in Scala, as well as modifying platform
to fix errors, work on distributed computing, adapt it to new cloud services, improve its performance, or upgrade
interfaces. To be successful in this role, you will need extensive knowledge of programming languages and the
software development life-cycle.
Responsibilities:
Analyze, design develop, troubleshoot and debug Platform
Writes code and guides other team membersfor best practices and performs testing and debugging of
applications.
Specify, design and implementminor changes to existing software architecture. Build highly complex
enhancements and resolve complex bugs. Build and execute unit tests and unit plans.
Duties and tasks are varied and complex, needing independent judgment. Fully competent in own area of
expertise
Experience:
The candidate should have about 2+ years of experience with design and development in Java/Scala. Experience in
algorithm, Distributed System, Data-structure, database and architectures of distributed System is mandatory.
Required Skills:
1. In-depth knowledge of Hadoop, Spark architecture and its componentssuch as HDFS, YARN and executor, cores and memory param
2. Knowledge of Scala/Java.
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of
enterprise application design patterns.
4. Good knowledge of Unix/Linux.
5. Experience working on large-scale software projects
6. Keep an eye out for technological trends, open-source projects that can be used.
7. Knows common programming languages Frameworks
Role- Software Development Engineer-2
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.
Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:
- Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
- Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What You’ll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
- 7+ years experience in building large scale products, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Platform Engineering: Solid understanding of distributed systems and operating systems fundamentals such as concurrency, multithreading, file systems, locking etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

















