Lead Software Engineer, QA

Java Backend Engineer

Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

Product Specialist

Role Description: <ul><li>Company’s Global R&amp;D team is looking for embedded software engineers and technical leaders to help build the future of industrial Automation &amp; Solutions.</li><li>You will have cross functional interactions and working closely with hardware, software, and product management teams.</li></ul> Responsibilities: As a Lead Software Engineer, the individual will work be in Embedded Software Development team. <ul><li>You provide the embedded platform infrastructure to enable our Industrial Networking Products.</li><li>You dedicate your creativity to a cross-functional, self-organized, agile team of developers.</li><li>You communicate with product owners, software architects and application developers in an intercultural and global work environment.</li><li>You contribute to the implementation of a Linux based Operating system for in-field embedded device families.</li><li>You assure the secure development life cycle of the platform and harden the attack surface of devices.</li><li>You will be part of the Software Platforms Teams, working on the development of in-house cybersecurity device software development for Industrial networks.</li><li>You will be building Firewall software for industrial routers which are complex multicore, multi-threaded software systems supporting high-availability, hundreds of network protocols and delivering high throughput packet forwarding.</li><li>Building brand new products, supporting new features, feature enhancements and sustenance of products across the R&amp;D product portfolio, using company’s device software running on company hardware.</li></ul> Requirements: <ul><li>You are a person with passion for coding and creating world class software systems for large organizations.</li><li>A Full time Bachelor/Master of Engineering Degree in Computer Science or equivalent.</li><li>You are able to abstract and use your creativity for disruptive solutions.</li><li>You are fluent in spoken and written English and have the ability or willingness to work in a Global environment</li><li>8 – 12 years’ experience in a product-based organization developing embedded software for Enterprise, Industrial Automation or Service Providers industry.</li><li>Solid understanding of embedded systems architecture, including microcontrollers, microprocessors, and real-time operating systems.</li><li>Ability to work on complex modular software systems, algorithms and be able to design, code, debug and automate software.</li><li>Expertise in C/C++ programming, data structures, Algorithms &amp; debugging tools.</li><li>Expertise in Linux based environment, with extensive knowledge of Linux Internals.</li><li>Hands-on operating systems, IPCs &amp; multi-thread programming experience.</li><li>Advanced working level knowledge of Computer networks and Network protocols in TCP/IP, switching (L2), routing (L3) &amp; security protocols.</li><li>One or more areas like QOS, Segment Routing, Multicast &amp; MPLS.</li><li>Ability to work with existing code base.</li><li>Hands-on experience in Versioning and Git/GitHub/Bitbucket repository.</li><li>Experience with Unit test strategy and execution.</li><li>Experience with Python or equivalent scripting languages</li><li>Experience with packet generating and network test tools.</li><li>Prior experience with any network OS provided by Networking companies like CISCO -IOS/IOS-XE/IOS-XR.</li><li>Designing &amp; understanding of network topologies &amp; deployment.</li><li>Linux containers and dockers.</li></ul>

Responsibilities: <ul><li>Collaborate with team, high availability, concurrent and fault tolerant software systems.</li><li>Significantly contribute to development of Aladdin’s global, multi-asset trading platform.</li><li>Work with product management and business users to define the roadmap for the product.</li><li>Design and develop innovative solutions to complex problems, identifying issues and roadblocks.</li><li>Apply validated quality software engineering practices through all phases of development.</li><li>Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support.</li><li>Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others.</li><li>Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement.</li><li>For VP Level: In addition to above, a VP level candidate should be able to lead individual projects priorities, deadlines and deliverables using AGILE methodologies.</li></ul> Requirements: Qualifications: <ul><li>B.S. / M.S. degree in Computer Science, Engineering, or a related subject area</li><li>For VP Level: 8+ years of proven experience</li><li>For Associate Level: 4+ years of experience</li></ul> Skills and Experience: <ul><li>A proven foundation in core Java and related technologies, with OO skills and design patterns</li><li>Track record building high quality software with design-focused and test-driven approaches</li><li>Good hands-on object-oriented programming knowledge in Java, Spring, TypeScript, JavaScript, Microservices, Angular (2.0+), React.</li><li>Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.).</li><li>Experience with relational database and/or NoSQL Database (e.g., Apache Cassandra)</li><li>Great analytical, problem-solving and communication skills</li><li>Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions.</li><li>For VP Level: In addition to the above, a VP level candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.</li></ul> Nice to have and opportunities to learn: <ul><li>Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.</li><li>Experience working in an agile development team or on open-source development projects.</li><li>Experience with optimization, algorithms or related quantitative processes.</li><li>Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis</li><li>Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud</li><li>Experience with DevOps and tools like Azure DevOps</li><li>Experience with AI-related projects/products or experience working in an AI research environment.</li><li>A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

The Role As a Staff Software Engineer, you will act as a subject matter expert. We are looking for technologists with the highest levels of technical talent, programming, and communication skills with a keen desire to deeply understand our product and how to make our systems stronger and more resilient. &nbsp;Responsibility <ul><li>Lead engineering efforts and team level processes by defining outcomes for others, refining ongoing processes, and providing technical advice to senior leaders on systems, solutions, challenges, and strategy.</li><li>Evangelist for technical standards, engineering best practices, and quality across larger Venmo team , Inc. Determines the technical tasks that other engineers will follow.</li><li>Support end-to-end ownership of design, implementation and operational excellence of software components while proactively improving existing structures and processes.</li><li>Contribute to the technical engineering roadmap by completing quality and thorough assessments of implementation alternatives and their associated trade-offs and providing recommendations.</li><li>Be consistently solutions-focused while contributing to the vision of domain and larger Venmo technical engineering roadmap.</li><li>Exercises judgement in reconciling diverse and competing priorities to identify optimal solutions to problems.</li><li>Leverage strategic thinking and experience to look ahead and anticipate consequences and risks linked to implementation choices; able to identify patterns to reduce repetition into meaningful general solutions.</li><li>A key voice on team-level processes (ex code &amp; design reviews) and oversees projects, ensuring an accurate, complete, timely and operable solution is delivered.</li><li>Serves as an expert to resolve technical inquiries of others.</li><li>Be able to provide technical leadership for a team with limited guidance from management or senior teammates.</li><li>Strong skills interacting and tailoring communication with various technical and non-technical stakeholders, such as product, support, finance operations, compliance and legal.</li></ul> Requirement <ul><li>At least 5+ years’ Experience developing and maintaining consumer-facing mobile applications at scale.</li><li>Strong Kotlin skills &amp; knowledge of multi-threaded, asynchronous code.</li><li>Deep understanding and knowledge around consuming GraphQL and REST APIs from Mobile applications.</li><li>Passionate about mentoring and developing software engineers.</li><li>Strong understanding of testing best practices and familiarity with at least one testing framework for Mobile Development. Skilled at writing Unit and Automation tests.</li><li>Strong knowledge of common design patterns, algorithms, and object-oriented programming with expertise in design patterns such as MVC and MVVM.</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

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6 algorithms Jobs found

Lead Software Engineer, QA

Java Backend Engineer

Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

Product Specialist

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6 algorithms Jobs found

Lead Software Engineer, QA

Java Backend Engineer

Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

Product Specialist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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