• Contribute to long-term DevOps programs and core technologies such as secrets management, Cosmos DB, Azure Key Vault, and related services. • Design, build, and maintain tools and utilities that support and integrate with CI/CD pipelines, including appropriate telemetry and monitoring. • Debug, troubleshoot, and resolve infrastructure issues in production environments. • Actively build, shape, and promote infrastructure architecture patterns, standards, and best practices. • Advocate for a strong DevOps culture at Nintex, bringing a DevOps mindset and perspective to all projects. • Independently deploy medium to large infrastructure components to production using automation, while adhering to Nintex development and deployment guidelines. • Write thorough post-mortems for infrastructure, pipeline, and automation incidents, including clear root cause analysis and preventative actions. • Design and develop code and scripts with quality, maintainability, and reliability in mind, using appropriate tools and processes to ensure high standards. • Clearly explain DevOps concepts, patterns, and practices to other engineers, enabling them to contribute independently. • Contribute to advanced DevOps initiatives such as continuous integration improvements, new infrastructure platforms, and automated incident mitigation. • Embed security into every project by ensuring it is considered throughout design, implementation, and operational processes. • Ensure all solutions adhere to Nintex guidelines for security, disaster recovery, scalability, availability, reliability, and durability. • Improve existing development and operational procedures to maintain compliance with Nintex standards. • Support other engineers in the design and delivery of complex enhancements. • Identify opportunities to improve software development, delivery, and operational processes, and actively help drive those improvements. • Apply appropriate DevOps patterns and practices to effectively solve development and operational challenges.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Platform Engineer, you'll shape the tools and systems that help engineers move faster, build smarter, and deliver high-quality software at scale. You'll work at the intersection of developer experience, platform engineering, and AI-driven innovation, creating solutions that improve how teams build, test, review, and ship code. From modernizing workflows to introducing intelligent automation, you'll help raise the bar for engineering efficiency across the organization. You'll also play a key role in influencing technical direction, strengthening development standards, and making everyday engineering work more seamless and effective. What you'll do as a Senior Platform Engineer - You'll design and build developer-focused tools and services that improve the software development lifecycle, including workflow automation, continuous integration and continuous delivery enhancements, and integrated development environment or tooling integrations. - You'll implement AI-driven capabilities across engineering workflows, including code assistance, documentation generation, test automation, and code review support. - You'll improve the developer experience by identifying friction points, streamlining workflows, and delivering scalable solutions that increase engineering productivity. - You'll promote best practices for developer tooling, local development environments, and platform adoption through clear documentation, practical examples, and hands-on support. - You'll design, deploy, and maintain the core AI platform infrastructure to enable the safe, efficient, and observable operation of production grade AI agents. - You'll participate in design and architecture discussions, contribute thoughtful technical guidance, and help strengthen engineering standards across teams. - You'll collaborate closely with engineers and cross-functional partners to deliver reliable, maintainable systems that support long-term platform growth. - You'll mentor other engineers through code reviews, design feedback, and collaborative problem-solving, helping elevate technical quality across the team. What you'll bring - A Bachelor's Degree in Computer Science or a related field, or an equivalent combination of education, experience, and training. - At least 3 years of professional experience building backend systems with object-oriented languages such as C# or Java, with a strong foundation in object-oriented programming principles, design patterns, and backend architecture. - Hands-on experience working with continuous integration and continuous deployment pipelines, development frameworks, or internal engineering platforms. - Experience applying artificial intelligence or automation to software engineering workflows, including areas such as code generation, summarization, testing, or knowledge discovery. - Proven ability to mentor and support other engineers through thoughtful code reviews, design reviews, and collaborative debugging. - Strong experience building, maintaining, and improving software systems, with exposure to developer tooling, platform engineering, or infrastructure that enhances engineering productivity. #LI-SP1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processing capabilities, connecting to complex data sources and delivering impactful analytics. As a Staff Software Engineer - Platform, you will be instrumental in designing and building the core platform services that support scalable data analytics and efficient user experiences. Working as a key technical leader, you will collaborate closely with cross-functional teams including product management, UX, and fellow engineers to architect and implement robust, high-performance platform components. You will focus on enhancing platform scalability, reliability, and extensibility, introducing modern cloud-native solutions and microservices architectures. Your responsibilities include evolving APIs, optimizing data pipelines, supporting multi-tenant environments, and integrating security best practices. You will also mentor and guide engineering teammates, ensuring high technical standards and effective collaboration. Your Qualifications & Skills: - Proficient in backend technologies with strong experience in JVM languages, particularly Java and Kotlin - Deep understanding of distributed systems, microservices, and cloud platforms such as AWS, Azure, or GCP - Experience building scalable, reliable platform services supporting data-intensive applications - Expertise in API design, data pipelines, and integrating security practices in platform development - Strong background in software design patterns, system architecture, and performance optimization - Demonstrated leadership and mentoring skills, with experience guiding engineering teams - Excellent communication and collaboration skills in a cross-functional and remote work environment - Passion for continuous improvement and adopting modern development methodologies like Agile and CI/CD You will thrive in a fast-paced, innovative environment where your contributions significantly impact the product and customers. A bachelor’s degree in Computer Science or equivalent experience, along with multiple years of senior software engineering experience, is expected.

• Develop and maintain reliable, scalable data pipelines, ensuring execution quality, performance, and observability; • Work on the ingestion, transformation, and provisioning of data for analytical consumption and internal applications; • Build and evolve reusable analytical datasets with semantic consistency and a focus on multiple use cases; • Operate and evolve the data stack (e.g., orchestration, transformation, storage), ensuring stability and efficiency; • Actively participate in resolving data incidents, handling diagnosis, remediation, and failure prevention; • Apply engineering best practices (testing, version control, code review, standardization) to ensure code quality; • Collaborate with Analytics Engineering, SRE, and product teams to ensure data meets business needs; • Use AI tools to increase productivity, code quality, and efficiency in problem solving; • Contribute to the evolution of the data platform as a product, improving usability, governance, and reliability