Staff Software Engineer(MLOps)

At Toast, we harness the power of technology to empower restaurants and local businesses to thrive in an increasingly digital landscape. Our mission is to support business owners in streamlining operations, boosting sales, engaging customers, and fostering employee satisfaction.In these challenging times, the Toast team is deeply committed to our clients. We provide the technology, resources, and community support that help restaurants navigate the complexities of today’s market. Our goal is to create a robust restaurant platform that enables businesses to adapt, take control, and focus on what they do best: building the businesses they are passionate about. With technology designed specifically for restaurants by industry experts, we aim to meet the immediate needs of our clients while innovating for the future.Ready to make a difference?Toast is seeking a Staff Machine Learning Engineer (MLOps) to be a pivotal member of our AI Platform team. At the P4 level, you will not only deploy models but also architect the foundational infrastructure that empowers multiple teams to build, deploy, and monitor AI solutions at scale. Your role will extend to mentoring senior engineers and establishing architectural standards throughout our MLOps lifecycle, encompassing feature stores, automated retraining, and high-performance inference.

Key Responsibilities• Infrastructure Development: Architect, set up, and oversee containerized GPU deployments utilizing Docker.• Multi-modal Project Execution: Seamlessly integrate and deploy machine learning models tailored for audio, video, and image processing applications.• Framework Collaboration: Work closely with data science teams to facilitate the integration of TensorFlow, Keras, and other deep learning frameworks into production workflows.• Kubernetes Optimization: Enhance and manage Kubernetes clusters to ensure scalable and efficient model deployment.• Model Performance Optimization: Employ ONNX and C-based frameworks for highly efficient model execution and scalability.• Continuous Model Monitoring: Track model performance, identify model drift, and ensure the stability of deployed models in operational environments.• End-to-End Pipeline Support: Assist with comprehensive machine learning pipelines, from initial data ingestion to final model deployment.• Cross-team Collaboration: Foster effective communication among cross-functional teams to align on project objectives and deliverables.

Join our dynamic team at Karat as a Staff Software Engineer. In this fully remote role, you will have the opportunity to work with innovative technologies and contribute to our mission of transforming the hiring landscape. As a key player in our engineering team, you will design and implement high-quality software solutions, collaborate with cross-functional teams, and influence the architectural direction of our products.

Veeam is a leading provider of data and AI solutions, dedicated to helping organizations protect and manage their data effectively. Recognized as a pioneer in data resilience and security posture management, we empower businesses to navigate the complexities of identity, data, security, and AI risk. With our headquarters in Seattle and operations in over 30 countries, Veeam proudly safeguards the operations of more than 550,000 customers globally. Join our dynamic team and be part of a transformative journey as we advance together, fostering growth, learning, and making a significant impact for renowned brands around the world.About the RoleAs a Staff Site Reliability Engineer, you will take on a pivotal role as a hands-on technical leader within our Site Reliability Engineering (SRE) team. Your expertise will guide senior engineers, influence product development efforts, and ensure our systems are constructed to be reliable, scalable, and observable from the ground up.You will spearhead strategic initiatives, mentor peers in SRE practices, and help define architectural best practices across our platform. This role is crucial for aligning teams, enforcing high standards, and scaling SRE principles globally at Veeam.What You’ll DoReliability Engineering & Resilience:Serve as a technical authority, mentoring senior engineers and guiding design decisions to enhance service reliability and resilience.Lead the establishment and enforcement of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets; ensure adherence across engineering teams.Collaborate with fellow staff members across teams to unify strategy and promote shared reliability standards and objectives.Engage with development and product teams to proactively design for failure, construct resilient architectures, and operationalize reliability from inception.Observability & Operational Excellence:Promote the organization-wide adoption of observability best practices and tools.Ensure that metrics, logs, and traces yield deep, actionable insights throughout systems.Lead complex incident responses, conduct postmortems, and drive systemic reliability enhancements.Encourage and uphold a blameless culture of learning and continuous improvement.

At Veeam, the leading global authority in data resilience, we believe businesses should have complete control over their data anytime, anywhere. Our innovative solutions in data backup, recovery, portability, security, and intelligence empower over 550,000 customers worldwide to maintain operational continuity. Join us in our mission to shape the future of data resilience, as we collaborate and grow together while making a significant impact for some of the world’s most recognized brands.About the RoleWe are seeking a talented Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team. In this role, you will collaborate with a global team to develop next-generation data protection services aimed at enhancing data resilience for our customers. This is an exceptional chance to engage in greenfield projects, creating features from inception that will be utilized around the world.What You'll DoDefine and guide the technical vision across multiple domains within the team while leading cross-team initiatives.Design and implement highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang.Engage in technical design discussions, conduct code reviews, and provide constructive feedback to fellow engineers. Tackle the most complex and ambiguous challenges facing the team, and establish frameworks for others to follow.Ensure timely and predictable delivery of team outcomes. Set high standards for execution across the team, ensuring your code is of exceptional quality, thoroughly tested, and secure.

Become a valued member of the ABBYY team, where we embrace your individual work style. With a hybrid work model, a supportive team atmosphere, and rewards that genuinely reflect your contributions, you can concentrate on what truly matters – your personal development while driving our collective success.At ABBYY, we are devoted to principles of respect, transparency, and simplicity, ensuring that you can rely on us to always make ethical choices.As a trusted partner in AI and intelligent automation, we tackle complex challenges for our enterprise clients, transforming their operations through innovative solutions. With over 10,000 customers, including numerous Fortune 500 companies, you will contribute to projects for prestigious names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R Block.About the RoleWe invite applications for the position of Staff Software Engineer, tasked with advancing ABBYY’s AI platform. This role is pivotal, straddling platform engineering, MLOps, and DevOps. You will take ownership of the development, deployment, observation, and evolution of AI services in a production environment, with a strong emphasis on Kubernetes, cloud infrastructure, and ML lifecycle automation.This position requires hands-on technical leadership, where you will design systems, write production-ready code, influence architectural choices, and mentor fellow engineers.Responsibilities:· Design and implement scalable AI platform services using Python and microservice architectures· Manage DevOps and MLOps workflows, including CI/CD, model deployment, versioning, and rollback· Develop and maintain Kubernetes platforms tailored for AI workloads· Create data pipelines, oversee dataset versioning, and establish auto-labeling workflows for model training· Facilitate the complete ML lifecycle: data ingestion, training, evaluation, deployment, and monitoring· Collaborate closely with ML researchers, product teams, and platform engineering colleagues· Advocate for best practices in software design, reliability, security, and observability· Lead technical discussions, review designs, and provide mentorship to team membersQualifications:· Over 10 years of experience in backend or platform engineering· Advanced proficiency in Python (or comparable backend languages)· Demonstrable experience in building and maintaining scalable systems with a focus on performance and reliability· Extensive knowledge of Kubernetes, cloud services, and MLOps practices· Proven track record in designing and deploying complex AI solutions· Strong communication and interpersonal skills to foster collaboration across teams

Join SanDisk as a Staff Engineer in our Software Development Engineering team, where you will play a pivotal role in developing innovative applications. Our ideal candidate is passionate about technology, has a strong background in software engineering, and is eager to tackle complex challenges. You will work closely with cross-functional teams to design, implement, and optimize software solutions that enhance our product offerings.

Role Overview Fermi AI is hiring a Staff Software Engineer in Bangalore, India. This role focuses on building software that supports advanced artificial intelligence projects. The team values technical skill and collaboration, tackling challenges that require scalable and efficient solutions for a range of clients. What You Will Do Design and develop software systems that support AI-driven products Work closely with engineers and stakeholders to deliver reliable, high-performance solutions Contribute to projects that impact the direction and capabilities of Fermi AI’s offerings

Role Overview Veeam Software is looking for a Senior Staff Software Engineer in Bangalore, India. This role focuses on designing and building software that helps businesses manage their data efficiently. The position offers the chance to influence product direction and contribute to solutions used by organizations worldwide. What You Will Do Design and develop software solutions for data management Collaborate with team members to drive technical innovation Maintain high standards for code quality and reliability About the Team Work alongside experienced engineers who value new ideas and technical excellence. The team is committed to delivering reliable products that meet the needs of businesses managing complex data environments.

Join Zscaler as a Staff Software Development Engineer, where you will play a crucial role in shaping the future of cybersecurity solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative software solutions that help protect organizations from cyber threats.

Join Zscaler as a Senior Staff Software Engineer in Bangalore, where you will play a pivotal role in designing and developing cutting-edge software solutions that secure cloud environments. You will collaborate with a talented team to drive innovation and enhance our platform's capabilities.

Join Sysdig as a Staff Software Engineer and help us revolutionize cloud-native security. As part of our innovative engineering team, you will work on cutting-edge technologies, driving the development of our robust solutions that ensure security and visibility in modern cloud environments.In this role, you will be responsible for designing, implementing, and maintaining high-performance software solutions. Your expertise will contribute to enhancing our product offerings while collaborating with cross-functional teams to deliver exceptional user experiences.

Your Path to a Rewarding Career Awaits!At Conga, we foster a collaborative community that encourages innovation and personal growth. Join us to explore opportunities for both individual and team development in a workplace where every opinion is valued.Conga's Mission: We empower businesses to become more connected and intelligent through our globally acclaimed Conga Advantage Platform. This comprehensive solution integrates Configure, Price, Quote, Contract Lifecycle Management, and Document Automation into a single, user-friendly platform. With seamless integration capabilities with any ERP, CRM, and Cloud system, and driven by a unified data model and tailored AI, we help organizations gain a competitive edge defined by connectivity, actionable insights, and scalable growth.Our Culture is guided by the Conga Way, a framework rooted in our core values that influences everything from hiring practices to decision-making processes and recognition programs. Developed with the direct input of our team members, the Conga Way is the cornerstone of our vibrant corporate culture.Job Title: Staff Software Engineer, AILocation: BangaloreReports to: Sr. Manager, AI/ML.Role Overview:As a Staff Software Engineer specializing in AI, you will play a pivotal role in the design, development, and deployment of cutting-edge AI and generative AI products. Your leadership will drive technical innovation, manage intricate projects, and collaborate with diverse teams to deliver high-quality, scalable, and maintainable solutions. A robust background in software development, AI/ML methodologies, and DevOps practices is essential, as is the ability to mentor junior engineers and influence strategic technical decisions.Why This Role Matters:This position is vital to our projects, requiring you to excel in product development, collaborate effectively within a team, and provide mentorship to your colleagues. We prioritize utilizing the best tools available, so a willingness to learn new programming languages and technologies is essential. This creates a dynamic, challenging, and exciting work environment where complex problems are encountered and resolved daily.

Join Zscaler as a Staff Software Development Engineer and be a part of an innovative team dedicated to transforming the cybersecurity landscape. In this role, you will leverage your expertise to design, develop, and enhance our cloud-based security solutions, ensuring they meet the highest standards of performance and reliability.

About Hevo Data:Join Hevo Data and be at the forefront of the data connectivity revolution! Our mission is to empower organizations with effortless access to their data ecosystem, facilitating smarter decision-making and unlocking their full potential. Are you ready to make a significant impact in the world of data?If you're looking for excitement, consider this: we handle over 300 billion events each month, generated by more than 2000 customers in over 40 countries. Notable brands like Zepto, Napster, Curefit, Groww, and Cars24 trust Hevo Data for their data needs.As a Senior Staff Software Engineer at Hevo Data, you will:Take the Lead: Architect and develop innovative data integration solutions.Collaborate and Innovate: Partner with diverse teams to enhance our core product offerings.Code for Excellence: Create high-performance, scalable, and dependable solutions.Mentor Future Leaders: Provide guidance and mentorship to junior engineers in a supportive environment.Be Part of a Transformative Project: Contribute to a pioneering ELT product, building it from the ground up in India.Challenges and Projects You Will Address:Design and implement scalable data integration solutions that connect various data sources, enabling organizations to fully leverage their data.Work with cross-functional teams to enhance our primary product, using your expertise to solve complex issues and exceed customer expectations.Engage deeply with the codebase, conducting comprehensive code reviews and offering constructive feedback to peers, thereby improving our product's quality and performance.Stay ahead by exploring emerging technologies and assessing their potential applications in our product, fostering continuous innovation and maintaining our leadership in data integration.Requirements:Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).8+ years of software development experience, ideally in an enterprise environment.Proficient in at least one programming language such as Java, Python, Go, or C++.Strong understanding of distributed systems, data integration methodologies, and cloud architectures.Solid knowledge of SQL and both relational and NoSQL databases.Experience with popular open-source data processing engines (e.g., Spark, Kafka, Flink).Experience in developing concurrent and non-blocking systems.

About the Role At Abnormal AI, we are seeking a highly skilled Staff Software Engineer to take on the pivotal role of technical lead within our Multi-Product Platform division in the APAC region. Our team is responsible for enhancing the customer journey, starting from the initial demo to the complete onboarding of our customers and their ongoing success. Abnormal is committed to safeguarding our clients—from prominent Global 2000 companies to small enterprises—against intricate, state-of-the-art security threats that could result in significant financial losses and operational disruptions. Our innovative strategies for email security, account takeover detection, and other critical areas have propelled us to be one of the fastest-growing security firms, with over 15% of Fortune 500 companies as our clients. As we solidify our leadership in email security, expanding our product offerings marks an exciting new chapter, and our team is at the forefront of this initiative. This role provides a unique opportunity to engage at multiple levels simultaneously. You will collaborate closely with engineering and product leaders across the R&D organization, shaping the development roadmap, making crucial architectural decisions, and guiding the team through challenging situations. Your contributions will be instrumental, laying the groundwork for the interactions of tens of thousands of users while supporting Abnormal's expanding App Store and facilitating a seamless self-service onboarding and offboarding experience for our customers. In addition to technical expertise, you will navigate the intersections of product strategy, distributed systems, and international market expansion—helping Abnormal make inroads into new markets, serve the public sector, and connect with diverse customer segments. The challenges are substantial, the stakes are high, and the team is exceptionally talented. If you are looking for a role where you can build at scale with the freedom to innovate and the context to make impactful decisions, this position is for you.

Join RapidAI, the foremost authority in deep clinical AI, as we transform healthcare delivery through innovative imaging and seamless workflows. Our Rapid Enterprise™ Platform addresses various disease states across the healthcare continuum, leveraging our profound clinical expertise to enhance decision-making, patient outcomes, and overall health-system efficiency. Trusted by over 2,500 hospitals across more than 100 countries and supported by over 700 clinical studies, including pivotal research that shaped national stroke treatment guidelines, RapidAI stands as the most clinically validated AI platform in the healthcare sector.

About JumpCloud JumpCloud® offers a unified open directory platform designed to make it easier for organizations to manage identities, devices, and access. The platform supports IT teams and Managed Service Providers (MSPs) in maintaining secure environments, no matter where people work. With JumpCloud, Windows, Apple, Linux, and Android devices can all be managed from a single place. Role Overview: Staff Software Engineer, ISPM JumpCloud is hiring a Staff Software Engineer focused on ISPM. This remote position is based in Bangalore, India.

At Confluent, we are not merely enhancing technology; we are revolutionizing the way data flows and what it enables the world to achieve. Our platform ensures that data is always in motion, streaming in near real-time, allowing businesses to respond more swiftly, innovate intelligently, and create experiences that are as dynamic as their environments.We are looking for individuals who embody curiosity and collaboration. If you thrive on asking challenging questions, providing constructive feedback, and supporting your colleagues, you will fit right in. We value teamwork over ego and celebrate the contributions of every smart and inquisitive team member.One Confluent. One Team. One Data Streaming Platform.About Our TeamThe Business Technology team is responsible for developing the internal applications that serve as Confluent’s backbone for revenue management, forecasting, and operational efficiency. We create strategic web applications that facilitate deal lifecycle processes, pricing, quoting, and planning tools utilized by Sales, Finance, and Customer Success teams.Our applications empower data-driven decision-making prior to resource allocation, enabling stakeholders to plan proactively, optimize resources, and manage expenditures confidently. We focus on crafting internal-facing applications that drive significant business impact, efficiency, and scalability.About the RoleWe are in search of an outstanding Staff Software Engineer who possesses a blend of deep technical knowledge and the capability to shape architectural frameworks, influence cross-functional partners, and lead open-ended initiatives across teams. You will oversee the comprehensive design and implementation of complex systems, pinpoint critical challenges, and establish best practices for other engineers to emulate.This position is perfect for individuals who are passionate about resolving tangible business challenges with practical, sustainable solutions rather than focusing on large-scale consumer applications. You should be comfortable navigating from hands-on implementation to technical strategy and stakeholder engagement.What You Will DoLead the architecture, design, and development of impactful internal web applications that facilitate deal lifecycle, pricing, quoting, forecasting, and planning processes.Take ownership of intricate, cross-team technical projects from initial problem identification through design, implementation, deployment, and long-term enhancement.Identify and promote high-leverage technical investments that enhance reliability, performance, developer productivity, and user experience across various applications and services.Design and refine microservices, APIs, and other system components to ensure robustness and scalability.

Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.Key Responsibilities:In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:Developing and enhancing tools, frameworks, and reporting systems for system optimization.Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.Advancing data platforms and fine-tuning machine learning models utilized on our platforms.Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).Handling production inquiries and ensuring the stability of applications in live environments.Effectively communicating complex technical findings to a diverse audience.