Engineering Manager

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.

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.

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

For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.

About ZscalerZscaler stands at the forefront of zero trust security, empowering the world’s largest enterprises, critical infrastructure organizations, and government bodies to protect their users, branches, applications, data, and devices. Our cutting-edge Zscaler Zero Trust Exchange platform, fortified by advanced AI, effectively mitigates billions of cyber threats and policy violations daily, enabling organizations to enhance productivity while minimizing costs and complexity.At Zscaler, we prioritize impact over titles and cultivate a culture built on trust, transparency, and constructive dialogue. We focus on harnessing the best ideas at speed, fostering high-performing teams that deliver impactful results with exceptional quality. Our core values revolve around customer obsession, collaboration, ownership, and accountability.We embrace an “AI Forward, People First” philosophy to inspire innovation and empower our team members to reach their fullest potential. If you are motivated by purpose, excel in solving intricate challenges, and aim to make a positive global impact, we invite you to join Zscaler and help shape the future of cybersecurity.RoleWe are in search of an experienced Senior Staff Machine Learning Engineer to become an integral part of our Engineering team. This hybrid position is based in Bangalore and reports to the Manager of Machine Learning Engineering.In this role, you will guide the technical direction, bridge the divide between research and production, and drive technical excellence throughout the organization. You will lead complex projects, mentor junior engineers, and architect the scalable models and systems that power the world’s leading cloud security platform.Key ResponsibilitiesDesign and implement scalable, reliable, and efficient production-grade Gen AI/ML systems, from data ingestion to monitoring.Drive innovation by researching and assessing emerging AI/ML frameworks, rapidly prototyping innovative solutions, and advocating for full-scale implementation.Establish and uphold robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems.Mentor junior engineers in system design best practices while fostering a culture of technical excellence.Collaborate with cross-functional teams to translate intricate business requirements into impactful technical solutions.

ABOUT THE TEAM The Production Engineering team at Rubrik plays a crucial role in ensuring the availability and reliability of mission-critical platforms across expansive, multi-cloud environments. We serve as the cornerstone of operational excellence, managing incident responses, outages, observability, and continuous enhancement. Our team collaborates closely with Site Reliability Engineering (SRE) and Engineering units to proactively identify risks, minimize operational toil, mitigate outages, and construct resilient systems. We thrive in complex, high-pressure situations, utilizing sound technical judgment while relentlessly improving through learning, ownership, and accountability. ABOUT THE ROLE As a Senior Engineering Manager for Production Engineering, you will lead and nurture a high-impact team responsible for sustaining highly available, business-critical services. You will drive the technical roadmap, strategy, and execution while acting as a senior escalation point during significant incidents. Your role involves setting a compelling vision for the team, coaching engineers to handle high-pressure scenarios confidently. This position demands strong technical expertise, decisive decision-making skills, and the capability to collaborate across teams to enhance system reliability and operational maturity. What You’ll Do Lead the Production Engineering team, supporting critical infrastructure and services across multi-cloud environments, aligning with EST timezone (4:00 PM – 1:00 AM IST). Own the operational excellence for production environments by establishing robust processes, standards, and accountability for availability and reliability. Promote a metrics-driven culture focused on continuous improvement, driving initiatives to enhance operational KPIs such as MTTA/MTTR. Encourage a strong collaborative mindset by working closely with leadership to align operational priorities with business objectives and reliability targets. Develop team members through coaching, mentoring, and career advancement, empowering senior contributors to achieve maximum impact. Plan and manage on-call rotations, escalation protocols, and resource availability to guarantee sustainable support for mission-critical systems. Implement strong execution rigor through sprint planning, prioritization, and accountability, holding teams to elevated standards of delivery and performance. Experience You’ll Need A passionate leader dedicated to building technically proficient teams, with over 12 years of experience in Software Development Engineering.

Join Cision as a Director of Engineering, where you will lead our engineering teams in developing innovative solutions that empower our clients. In this pivotal role, you will be responsible for overseeing engineering projects, driving technical excellence, and fostering a collaborative environment for your teams.

About the Role:Production EngineerThe Production Engineer at Rubrik is essential for achieving operational excellence. This position involves managing alerts, addressing outages, and leading incident resolution as an Incident Manager. The ideal candidate will possess hands-on experience in maintaining highly available critical services across multi-cloud environments while continuously enhancing processes through automation and intelligent monitoring.What You’ll Do:Become a vital part of a 24/7 Production Operations team dedicated to managing and supporting critical infrastructure and services in multi-cloud environments.Supervise staging and production environments to ensure optimal uptime and reliability.Implement and uphold comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.Lead incident management initiatives by promptly responding to alerts and outages, coordinating teams for timely resolutions.Investigate recurring incidents to identify root causes, minimize toil, and enhance system resilience.Design and develop automation tools to proactively detect, triage, and remediate production issues.Maintain and update runbooks to facilitate incident response and address recurring issues.Exhibit strong decision-making skills under pressure, effectively managing critical situations with urgency and composure.

Join Aerospike as a Senior Software Engineer in our Client Engineering team, where you will play a critical role in designing and enhancing our high-performance database solutions. You will collaborate with cross-functional teams to develop innovative features, optimize performance, and ensure the scalability of our database technology.

Lead Quality EngineerAs a Lead Quality Engineer at Brillio, you will spearhead our quality assurance initiatives, ensuring that our AI and data engineering solutions meet the highest standards. You will lead a team of quality professionals, driving best practices in testing methodologies and fostering a culture of continuous improvement. Your expertise will be essential in developing automated testing frameworks and collaborating closely with cross-functional teams to deliver exceptional products that exceed client expectations.

Join our dynamic team at Veolia Environnement SA as a talented Design Engineer. You will play a critical role in the engineering and design of innovative projects that drive sustainability and efficiency in our operations. Your expertise will contribute to designing solutions that meet our clients' needs while adhering to industry standards.

Brillio is hiring a Senior Engineer in Bangalore, Karnataka. This position centers on developing, implementing, and optimizing complex technology systems. The work supports both client needs and internal standards for quality. Role overview This role focuses on building and improving technical solutions. Senior Engineers at Brillio contribute their experience to ensure projects meet high standards and deliver value to clients. What you will do Develop and implement advanced technology systems Optimize existing solutions for better performance and reliability Ensure deliverables meet company and client expectations Who we’re looking for Motivated and skilled in engineering practices Ready to work on complex projects Committed to quality and continuous improvement

About the Role:Production EngineerThe Production Engineer at Rubrik is pivotal in ensuring operational excellence, managing alerts, addressing outages, and spearheading incident resolution as an Incident Manager. This position demands hands-on expertise in maintaining highly available critical services across multi-cloud environments while fostering continuous improvements through automation and intelligent monitoring.What You Will Do:Become a key member of a 24/7 Production Operations team dedicated to managing and supporting vital infrastructure and services across multi-cloud environments.Supervise staging and production environments to guarantee maximum uptime and reliability.Deploy and maintain comprehensive observability solutions for real-time monitoring, alerting, and metrics collection.Lead incident management initiatives by promptly responding to alerts and outages, coordinating teams for swift resolution.Investigate recurring incidents to identify root causes, mitigate toil, and enhance system resilience.Design and develop automation tools to proactively detect, triage, and rectify production issues.Update and maintain runbooks to facilitate incident response and address recurring issues.Exhibit strong decision-making abilities under pressure, managing critical situations with urgency and composure.

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.

Join Reltio as a Senior Engineer and play a pivotal role in shaping the future of data management. You will be responsible for designing, developing, and implementing innovative solutions that enable organizations to manage their data effectively. Collaborate with cross-functional teams to deliver high-quality software in a fast-paced environment.

Join Bosch Group as a Power Systems Engineer, where you will play a crucial role in developing innovative power systems solutions. In this full-time position, you will collaborate with a dynamic team to design, analyze, and optimize power systems, ensuring high performance and reliability.

About WPP MediaWPP Media is the trusted growth partner for the world’s leading brands. Combining exceptional talent, reliable data and intelligence, along with world-class partnerships, we empower clients to navigate change and seize opportunities for transformative growth through our innovative marketing platform, WPP Open.As WPP's AI-driven media operating unit, WPP Media integrates media, data, and partnerships to deliver large-scale creative personalization. Through WPP Open and powered by Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.WPP Media OverviewAt WPP, we harness the power of creativity to foster better futures for our people, planet, clients, and communities. Explore more at wpp.com.WPP Media, our global media collective, thrives in a world where media is omnipresent. We unite the finest platforms, talent, and partners to unlock limitless growth opportunities. Discover more at wppmedia.com.We pride ourselves on our vibrant culture and team. This role is essential for embodying the core values shared by WPP and WPP Media:Be Extraordinary by collectively leading to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust cultivation.Lead Optimistically by championing growth and development to mobilize the enterprise.

DevOps Engineer (m/f/d) Bangalore, Remote India Hello I’m Servesh, Co-founder and CTO at Kayzen. We are on the lookout for a talented DevOps Engineer who will be an integral part of our dynamic Engineering team. If you’re interested in working with cutting-edge technology in the fast-paced world of programmatic advertising, keep reading! At Kayzen, we’re revolutionizing mobile advertising by providing a demand-side platform (DSP) that democratizes access to programmatic advertising. Our platform empowers apps, agencies, media buyers, and brands to execute effective customer acquisition, retargeting, and brand performance campaigns through our intuitive self-serve and managed service options. Built on the foundations of performance, transparency, and control, we support the world’s leading mobile marketing teams with customized solutions that drive business growth and maintain a competitive edge. With over 160 billion daily ad requests from more than 1.6 billion unique users globally, we serve approximately 1 billion ads each day across 180 countries, accessible through our APIs and user interface. About the Team The Platform Engineering team is responsible for our Real-time Bidding (RTB) platform, a real-time budget system, real-time event processing, stream data processing engine, and a variety of other complex, large-scale distributed components and data pipelines. We collaborate closely with data scientists, analysts, product managers, and business teams to tackle some of the most technically challenging work in the industry, including: Handling approximately 2 million requests per second with sub-millisecond latency Managing petabytes of data efficiently Overseeing distributed systems deployed across multiple data centers Optimizing JVM and Linux kernel performance Managing our global data center infrastructure consisting of thousands of powerful servers Solving some of the most complex challenges in Ad-Tech Does this sound exciting to you? We think so! About the Role We are seeking a DevOps Engineer to enhance and scale the backbone of our global RTB platform. This role involves transitioning from traditional server management to architecting automated, self-healing infrastructures capable of handling petabytes of data with sub-millisecond response times. You will treat our data centers as programmable cloud environments. Responsibilities Design and maintain automated provisioning pipelines (PXE, ZTP) for deploying bare-metal servers and configuring hardware, peripherals, services, and settings.

Join AECOM as an Electrical Engineer in Bangalore, where you will play a key role in delivering innovative engineering solutions. Collaborate with a talented team to design and implement electrical systems that meet client specifications and industry standards. Your expertise will contribute to a variety of exciting projects across multiple sectors.