Responsibilities Leads development of project/ corporate software applications and adherence to a timetable for design, development, implementation, production and maintenance. Provides technical IT expertise for project/ corporate needs and assumes final responsibility to resolve any technical issues. Serves as primary point of contact to clients who may be the project principal investigator/project manager, an external client or internal officer/senior leader. Fosters a collaborative and respectful relationship with project leaders, internal and external stakeholders and company's staff to advance technical capabilities and accomplish objectives. Provides major contributions to business development, company's systems development, and/or company's initiatives. Represents the group or Companys at client meetings, corporate leadership, business development activities, and/or industry events. Manages the selection, training, development and evaluation of software engineering staff to ensure availability of resources, fulfillment of contractual obligations, and operational efficiency. Manages group resources (i.e., budget, personnel, and subcontracts) to ensure that tasks are of high quality and performed efficiently and on a timely basis. Provides mentorship and technical guidance to the group staff to help them achieve their goals. Promotes continued professional growth of staff by supporting attendance at internal or outside conferences and other educational opportunities per project team, group, and corporate expertise requirements. Coordinates staff activities through planning, allocation, and reporting. Designs and implements efficient work processes, schedules and checklists to ensure routine group and other related activities are performed in accordance with corporate and service specific Standard Operating Procedures (SOPs) and applicable regulatory requirements. Prepares, critically reviews and approves required service/functional group materials (e.g., SOPs, technical manuals) as applicable. Manages and/or oversees subcontracted consultants, or other contracted resources utilized by the service/functional group or project team. Qualifications Master of Science degree in a computer related field. 8 plus years of enterprise web application development experience. Required Skills/Abilities Expertise in Object Oriented Analysis and Design (OOAD) using Java/J2EE or JavaScript. Expertise in web platform development tools like Node.js, Express, AWS Amplify, AppSync, GraphQL, Struts, or Spring framework. Expertise in database management systems like DynamoDB, Amazon Aurora, Microsoft SQL Server, MySQL, or Oracle. Experience with Ajax based JavaScript frameworks like React, Angular, Vue, or jQuery. Experience with Middleware technologies like Amazon Kinesis or Apache Kafka. Experience with web service. Experience with XML serialization technologies. Experience with CI/CD and build automation technologies services like AWS CodePipeline, Gradle, Ant, or Maven. Experience with source code repositories like AWS CodeCommit, Git/GitHub, or SVN. Healthcare or Clinical Research domain experience is preferred Demonstrated experience leading successful software development teams Previous extensive utilization of software engineering principles Experience performing code reviews and mentoring junior team members Excellent oral and written communication skills Self-motivated, proactive, and detail-oriented Strong multitasking, problem solving, and organizational skills. Proven ability to work independently and in a team environment. Satisfactory background check required. Any suitable combination of education, training or experience is acceptable.
Role & responsibilities Leadership & Team Management Led and mentored high-performing engineering teams. Promoted technical excellence and supported career development for team members. Collaboration with Global Teams Partnered with engineering leadership and cross-functional stakeholders. Ensured alignment with organizational goals and engineering best practices. Technical Strategy & Execution Drove the technical roadmap and architecture for cloud-native applications. Ensured scalability, performance, and robust security in all solutions. Development & Engineering Best Practices Cultivated a strong engineering culture emphasizing CI/CD, test automation, and DevOps. Advocated modern development workflows and agile methodologies. Cloud Infrastructure & Containerization Built and managed containerized applications using Kubernetes and AWS. Designed efficient deployment and scaling strategies for high availability. Full Stack & Backend Development Oversight Provided technical guidance in Full Stack and Backend development. Technologies used include React (frontend), Java (backend), and RESTful APIs. Quality Assurance & Compliance Enforced code quality, reliability, and test automation. Maintained adherence to regulatory and business compliance standards. Required Qualifications 12+ years of experience in software engineering, including 3+ years in a leadership role managing multiple teams. Proven hands-on expertise in Full Stack and Backend development using technologies such as React , Java , and RESTful APIs . Deep experience in building cloud-native applications in containerized environments (preferably using Kubernetes and AWS ). Strong background in CI/CD pipelines and a solid test automation mindset . Excellent communication and written skills , with a demonstrated ability to collaborate across global teams , including senior leadership. Capable of effectively managing distributed teams and operating in fast-paced, highly regulated environments . Must have Previous experience in the Life Sciences industry . Familiarity with Laboratory Information Management Systems (LIMS) , particularly LabVantage . Understanding of regulated environments , including standards such as HIPAA .
Role & responsibilities Consistently delivering against the product and engineering backlogs. Architecting solutions that are secure, maintainable, extensible and can meet the demands of company's scale, documenting in code along the way Supporting our applications in production, including setting up & maintaining logging, monitoring and alerting, being on-call, leading retrospectives Lead and mentor team on the best engineering and architectural patterns and practices. Pair programming, reviewing pull request and givingconstructive feedback. Contributingto the definition of features for services owned by your team Continuously improvingyourself, your team, the product by building AI agents, suggesting and helping implement new Engineering tools, processes, best practices, which also increase our velocity and improve testing and observability. Leads identification of dependencies and the development of design documents for an entire application or features Partners with EM, PM - collaborates to gather and understand requirements and expectations and provides estimations, options to mitigate risks Leading on large initiatives spanning multiple teams in the domain Skillset Requirements To be considered for this role, you must have 10+years of experience in software development, 5+years of experience with software design and architecture, running large scale distributed systems in production environments Must be expert in at least one of Java, Kotlin, Node.js Must be expert with Spring Boot, Spring Batch. Hands on level familiarity with ReactJs, JavaScript, Arco/Material Design. Must be expert is designing restAPI/GraphQLAPIs Must have strong production experience in designing systems for internet scale. Must have production experience to build solutions using big data technologies like Kafka, Apache Flink, Hadoop, Spark Expert in data modelling using SQL and NoSQL databases Expert in crafting and implementing system for Async and Non Blocking Processing Experience with Cloud native applications is very desired Working in a Continuous Delivery environment Modern observability practices with Grafana, Prometheus etc Batch processing data pipeline.
Role & responsibilities Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability. Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact. Command the full software development lifecyclefrom initial design and architecture to coding, testing, deployment, and maintenancewhile producing clean, efficient, and documented code. Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact. Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams. Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth. Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others. Preferred candidate profile Masters or Bachelors degree in Computer Science or a related field with 10+ years of experience in building large-scale distributed applications and backend services. Expert with Java, Kotlin to build server side technologies is required. A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge Experience in the close examination of data, computation of statistics, and deriving of data insights Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) and working with NoSQL databases or key-value stores (e.g., MongoDB, Redis). Hands-on experience with the end-to-end lifecycle of machine learning, including model deployment and application at scale. Experience in AI research or industrial recommendation systems is a significant plus. Experience with cloud services and familiarity with Large Language Models (LLMs) or prompt engineering is highly desirable. A passion for technical excellence, excellent communication skills, and a “can-do” attitude with a willingness to learn and master new technologies. Proven expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras. Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques. Hands-on experience with ML Ops tools and best practices. Proficiency in working with large scale data in hadoop and spark. Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept)
Role & responsibilities Design, develop, and deploy complex, distributed systems that operate with lightning speed, handling over a billion requests daily. This is a unique opportunity to work on applications with a global reach and immense user impact. Collaborate with seasoned experts to devise innovative strategies and solutions that solve complex problems. Craft the architectural blueprint for both new and existing systems. You'll have the autonomy to drive architecture discussions, analyze large codebases, and make critical decisions that ensure our solutions are scalable, maintainable, and aligned with long-term strategy. Take full ownership of the software development lifecycle, from initial design and coding to deployment and maintenance in a fast-paced CI/CD environment. Elevate the entire team by mentoring and guiding junior engineers. This is your chance to lead by example, share your expertise through code reviews and technical guidance, and shape the next generation of engineering talent. Engage directly with product managers and other key partners to transform ambitious business requirements into robust, elegant technical solutions. Required skills A Masters degree in Computer Science or related field with 8+ years of experience, or a Bachelors degree in Computer Science with 10+ years of experience You have 7+ years of experience building large-scale distributed web platforms/APIs, with 5+ years as an architect or technical lead where you were responsible for the end-to-end product scope across multiple domains. Proven ability to create, drive, and execute a technical strategy and roadmap. You know how to make balanced trade-offs that support long-term goals without sacrificing immediate needs. You excel at aligning key stakeholders and engineering teams around a cohesive technical direction, using clear documentation like Architectural Decision Records (ADRs) to navigate ambiguous challenges. A passion for improving team velocity and code quality, with demonstrated experience developing and driving the adoption of technical best practices across an organization. Deep, end-to-end system design knowledge, from front-end JavaScript frameworks (React, Angular) to backend services (GraphQL/REST APIs), messaging systems, databases (RDBMS/NoSQL), and containerized infrastructure. Hands-on experience with GraphQL is highly preferred. A track record of independently leading complex technical initiatives across multiple teams, from initial concept to successful launch and delivery.
Role & responsibilities Contribute to the design and development of new cloud-based software architectures. Own and deliver complete features, including design, architecture, implementation, testability, and deployment. Provide feedback about technical designs, proposals, and code. Analyze existing applications/databases and identify areas for improvement. Craft and contribute to APIs that can support user experiences on web and mobile applications. Collaborate with engineers while also conducting code reviews to ensure consistent design patterns are being applied Required Skills Bachelor's Degree in Computer Science or closely related field with 12+ years of relevant experience or MS with 10 plus years experience 3+ years team management experience Expertise Java with a deep understanding of its ecosystems and frameworks Expertise with Node.js / JavaScript / Scala Experience with relational as well as NoSQL databases such as MSSQL, PostgreSQL, DynamoDB Hands-on experience in web services (REST, GraphQL, gRPC). JavaScript (ES6), HTML / CSS, CSS Preprocessor is a plus (Less or Sass) Unit test with mock (Jest or Jasmine preferred) , Automation testing is a plus. NodeJS (Express desired), Knowing ReactJS and Redux is a plus. Experience in building large scale Web Services and Backend Applications using Java/J2EE, RESTful Web Services, HTTP and JSON technologies. Knowledge of core CS concepts such as common data structures and algorithms Code samples from private GitHub repos, side projects, and open-source project contributions is a plus Understanding of how to create modular and extensible APIs. Proficient at using appropriate security, documentation, and/or monitoring best practices. Familiar with Agile/Scrum methodologies Experience in fixing accessibility issues is a plus. 1+ years of experience in applying AI to practical and comprehensive technology solutions [Nice to Have]
Job Responsibilities Collaborate with Management and Product Management on shaping the departments vision and roadmap Help define and refine project scopes, goals, and metrics Seek scientifically valid solutions that deliver real value to the organisation's customers Carefully measure your output and impact in order to learn and improve over time Collaborate with Operations team to ensure the quality of any human-labeled data required Build Machine Learning models and data pipelines to deliver insightful yet practical solutions Mentor more junior peers, as well as review their work and provide frequent feedback and advice Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers Present key technical and novel research work in public forums and conferences Help interview and hire additional, exceptional teammates Minimum Qualifications M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 5+ years of industrial experience in Applied Machine Learning Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related Significant Experience in Production-grade coding in a high-level language such as Python or Java Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark Excellent verbal and written communication and collaboration skills Thought leadership and mentoring skills
Responsibilities: Collaborate with business stakeholders to understand and refine data-related questions and requirements Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends, patterns, and correlations in large datasets. Apply data science techniques to automate data validation processes and enhance data integrity. Utilize advanced analytics to uncoverhidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Conduct thorough quality assurance checks on data to ensure accuracy and reliability. Present findings and insights clearly to business stakeholders. Stay current with emerging trends and technologies in data research, business intelligence, and data science. Skills: Data science with AI/ML (scikit-learn, TensorFlow, Keras) Proficiency in the use of Python & SQL (programming languages) for data science related assignments Data mining & preparation using Python Data analysis and visualization using MS PowerBI& MS Excel Working with large-scale relational databases. Preferred (but not essential):- MS Azure Dev Ops, Azure cloud, AI Foundry, AI Search Excellent problem-solving, analytical, and critical-thinking skills. Strong communication & interpersonal skills Problem-solving mindset and good verbal, writing & presentation skills Educational background in Math / Statistics / Engineering / Science Minimum of 5 years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as extra and optional) Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.
Responsibilities Design and develop new features and subsystems in the Company's Cloud to support a variety of end users from homeowners, installers, fleet and utility partners. Work cross-functionally with product and design teams to learn about our customers, identify solutions and develop the features that solve their needs Collaborate between firmware, frontend and backend engineers on projects to seamlessly build a cohesive product Work in our Kotlin and TypeScript cloud with gRPC, REST APIs and GraphQL as well as communicating with our IoT devices over MQTT. Design APIs and data specifications for internal and external users Required Qualifications 8+ years of experience as a backend engineer with a track record of taking ownership of projects and features. Experience collaborating with engineers from multiple domains to complete projects. Experience with Cloud-native platforms like AWS, GCP, Azure (we use AWS). Experience collaborating with coworkers in shared code base using industry standard tools and processes including type systems, linting and unit testing Understanding engineering principles and processes to design robust, scalable and resilient systems 5+ years of professional experience in a common backend programming language and a desire to work with Kotlin, TypeScript, and Python
Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data, computation of statistic, and data insights Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark Excellent verbal and written communication and collaboration skills
Key Responsibilities Drive Strategy & Vision: Partner with senior leadership, product management, and other stakeholders to define and execute the machine learning roadmap aligned with business goals. Team Leadership: Lead, mentor, and grow a team of ML scientists and engineers. Create an environment that encourages innovation, high performance, and career development. Technical Oversight: Guide and review the development of machine learning models and data pipelines, ensuring scalability, scientific validity, and production readiness. Cross-Functional Collaboration: Collaborate with Product and Analytics teams to scope projects, prioritize initiatives, and ensure seamless data and model integration. Operational Excellence: Define project goals, success metrics, and delivery timelines. Ensure effective resource allocation and continuous improvement in team processes. Foster Scientific Rigor: Uphold high standards of experimentation, measurement, and peer review. Promote the use of reproducible research and robust evaluation practices. Data Strategy: Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed. Talent Development: Provide coaching and technical guidance to team members. Conduct performance reviews, identify skill gaps, and invest in team capability building. Hiring: Attract, interview, and hire top talent to grow the team and enhance its diversity of thought and background. Minimum Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management. Proven experience leading machine learning teams in an applied industrial setting. Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning. Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems. Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL. Excellent communication, storytelling, and stakeholder management skills. Demonstrated ability to translate business needs into scientific problems and to prioritize for impact. Additional Qualifications Master's or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.) Track record of impactful publications and/or patents in machine learning or related areas. Contributions to open-source ML tools or frameworks. Experience with modern large language models, graph-based ML, or knowledge graph construction.
Key Responsibilities Technical Development Design, develop, maintain, and enhance .NET applications and services, contributing across the full technology stack, including ASP.NET, C#, Node.js, SQL, TypeScript, and CI/CD tooling. • Lead cloud migration and technical debt reduction, particularly in transitioning C# projects from .NET Framework to .NET Core. • Work in a cloud-based environment, delivering SaaS software solutions on platforms like AWS or Azure. • Develop microservices, RESTful APIs, and scalable solutions aligned with modern software architecture principles. Partner with engineering leaders and stakeholders to plan, scope, and design new features and innovations while identifying areas for platform improvement. • Provide guidance, leadership, and mentorship to other engineers and quality assurance teams, ensuring alignment with quality, security, scalability, and usability standards. Take ownership of your code from development to production, including deployment, monitoring, and troubleshooting. • Write and maintain robust test coverage, including unit, integration, performance, and automated functional tests. • Follow Agile or Lean methodologies to deliver software efficiently and effectively. What Youll Need to Be Successful (Required Skills) 5-8 years of hands-on experience developing web applications using ASP.NET, C#, and .NET. • Proficiency with relational databases such as Microsoft SQL Server. • Strong problem-solving skills, a detail-oriented mindset, and a sense of ownership. • Proven ability to manage and prioritize multiple workstreams effectively. • Excellent communication skills, both written and verbal. • Experience working in a Lean or Agile development environment. Education/Certifications Bachelor’s degree in Computer Science or Engineering.
Role & responsibilities Design and develop new features and subsystems in the company's Cloud to support a variety of end users from homeowners, installers, fleet and utility partners. Work cross-functionally with product and design teams to learn about our customers, identify solutions and develop the features that solve their needs Collaborate between firmware, frontend and backend engineers on projects to seamlessly build a cohesive product Work in our Kotlin and TypeScript cloud with gRPC, REST APIs and GraphQL as well as communicating with our IoT devices over MQTT. Design APIs and data specifications for internal and external users Required Qualifications 5+ years of experience as a backend engineer with a track record of taking ownership of projects and features. Experience collaborating with engineers from multiple domains to complete projects. Experience with Cloud-native platforms like AWS, GCP, Azure (we use AWS). Experience collaborating with coworkers in shared code base using industry standard tools and processes including type systems, linting and unit testing Understanding engineering principles and processes to design robust, scalable and resilient systems 5+ years of professional experience in a common backend programming language and a desire to work with Kotlin, TypeScript, and Python
Role & responsibilities Define & Implement Product Knowledge Strategy Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams. Drive AI-Powered Taxonomy & Ontology Development Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models. Improve Search & Product Discovery Ensure our structured product data directly improves search relevance, filtering, and recommendation algorithms. Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog. Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment. Measure & Iterate – Define metrics and evaluation frameworks to supervise the impact of structured data improvements on search, recommendations, and personalization. Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence. Required skills Product Leadership in Data/AI – 2+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems. AI & Data Proficiency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes. Taxonomy & Ontology Expertise – Proven understanding of product classification, metadata structuring, and entity resolution techniques. Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation. Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows. High-Agency – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast. Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies.
Key Responsibilities: Design and implement enterprise-wide data architecture across operational, analytical, and reporting platforms. Collaborate with business stakeholders to define analytics requirements and translate them into scalable data solutions. Ensure data accessibility, security, and performance across platforms while maintaining consistency and governance. Lead the development of data models, data integration strategies, and data stewardship frameworks. Drive continuous improvement in data architecture, analytics capabilities, and data management practices. Provide technical leadership and mentorship to project teams and cross-functional partners. Qualifications : 5+ years of experience in SAP IT departments and/or SAP consulting roles. Hands-on experience with SAP tools including S/4HANA, BPC, Fiori, Core Data Services (CDS), BW, Web Intelligence and Design Studio. Strong expertise in data management, data architecture, analytics, and database systems. Proven ability to work directly with business stakeholders to gather and finalize data requirements. Self-starter with a passion for learning new tools, systems, and processes. Experience translating business needs into technical project requirements. Project management experience with a track record of delivering data-driven solutions. Background in IT development, Business Intelligence, Data Warehousing, or related fields. Bachelors degree in Computer Science, Engineering, Business, or a related discipline.
Key Responsibilities: Collaborate with business stakeholders to define enterprise master data strategies and governance frameworks. Design and implement SAP MDG solutions that support the collection, processing, and stewardship of master data across domains. Lead the development and enforcement of data governance policies, standards, and best practices. Architect and deliver SAP-centric master data solutions that align with enterprise goals and compliance requirements. Provide technical leadership and mentorship to MDM team members and cross-functional partners. Ensure consistency, quality, and accessibility of master data across systems and business units. Drive continuous improvement in data architecture, modeling, and integration practices. Qualifications: Bachelors degree in Computer Science, Information Systems, or a related field. Proven experience designing and architecting enterprise Master Data solutions. 4+ years of hands-on experience with SAP MDG and SAP Data Architecture. Strong functional knowledge of master data domains: customer, vendor, product/material, and finance in S/4HANA or ECC. Experience with SAP Data Services and SAP Information Steward for data conversion, quality, and cleansing. Proficiency in defining systems strategy, requirements gathering, prototyping, testing, and deployment. Strong configuration and solution design skills. ABAP development experience required, including custom enhancements and data modeling. Experience with SAP S/4HANA 2021 or later preferred. Excellent communication, collaboration, and time management skills. Ability to lead cross-functional teams and manage multiple priorities in a dynamic environment.
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