Senior Observability Engineer (SRE) at Cognite

Cognite is a leader in the realm of industrial digitalization, dedicated to creating cutting-edge AI and data solutions designed to tackle some of the most formidable and impactful challenges globally. Drawing on our unparalleled industrial expertise and a robust array of AI capabilities, including low-code AI agents, Cognite is committed to accelerating digital transformation for enhanced operational efficiencies.Our ambitious moonshot aims to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Cognite stands at the cutting edge of industrial digitalization, developing AI and data solutions that tackle some of the globe's most challenging and impactful issues. With a rich industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiencies.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Cognite is at the cutting edge of industrial digitalization, creating innovative AI and data solutions that tackle some of the most challenging and impactful issues globally. With an unparalleled industrial legacy and a robust array of AI tools, including low-code AI agents, Cognite is driving digital transformation to enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally changing the landscape of global industry.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.

Cognite focuses on industrial digitalization, using advanced AI and data solutions to address complex challenges worldwide. The company’s expertise spans a wide range of AI tools, including low-code AI agents, supporting businesses as they modernize operations and accelerate digital transformation. The team values curiosity, adaptability, and a mindset that sees obstacles as opportunities for growth. People who enjoy questioning the status quo and learning from challenges tend to thrive here. Cognite’s long-term vision is to unlock $100 billion in customer value by 2035. Learn more about this goal and how the company aims to reshape the industrial sector by combining AI, data, and innovation to create a smarter, more connected future.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.

Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The team works with companies around the world to help them accelerate digital transformation and improve operational efficiency. Drawing on a strong industrial background and a growing set of AI tools, including low-code AI agents, Cognite tackles complex, high-impact challenges across industries. The culture values agility, ownership, and a willingness to question established ways of working. People who see challenges as a chance to move forward tend to thrive here. Cognite’s Moonshot initiative targets unlocking $100 billion in customer value by 2035, aiming to reshape how global industries operate.

Aerospike is the leading real-time database tailored for mission-critical applications and workloads, encompassing machine learning, generative AI, and agentic AI. Our platform supports millions of transactions per second while maintaining millisecond latency, all at a significantly lower total cost of ownership compared to traditional databases.Renowned organizations such as Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair trust Aerospike for various applications including customer 360, fraud detection, real-time bidding, profile stores, and recommendation engines. With our headquarters in Mountain View, California, we boast a global footprint, including offices in London, Bangalore, and Tel Aviv. This position offers a hybrid work model.Employees are expected to work from the Bangalore office 2-3 times a week.Job SummaryWe seek a Senior Engineer to craft and implement an extensive suite of management and observability tools designed for the operation of Aerospike’s distributed database at an enterprise scale.Your role will involve developing solutions to monitor, manage, and administer clusters, users, and security, ensuring a seamless integration with leading enterprise IT environments, whether on-premises or in the cloud.The ideal candidate will possess substantial experience in building large-scale systems and will be well-versed in contemporary monitoring, logging, and management technologies utilized in enterprise contexts.

Teamwork makes the stream work. Join Roku in transforming the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to empower every television globally. We revolutionized the television experience through streaming and aim to connect the entire TV ecosystem. Our platform links viewers with their favorite content, aids publishers in building and monetizing expansive audiences, and offers advertisers innovative tools to engage users effectively.From day one, you will play an essential role in our dynamic environment. At Roku, we are a rapidly expanding public company where every employee is a crucial contributor. This is your chance to create delightful experiences for millions of TV streamers while acquiring significant expertise across various disciplines. About the Team The Observability team, part of Roku’s Cloud Technology Infrastructure, plays a vital role in our platform. We are a high-performing, agile international team that values ownership, effective communication, and impactful engineering solutions. Our goal is to enhance Roku’s observability platform, managing vast amounts of data daily and supporting numerous active series. We focus on constructing scalable, high-performance systems tailored to Roku’s unique requirements, utilizing open-source tools and custom solutions to empower engineering teams in monitoring, debugging, and optimizing their applications seamlessly.

Join Alpheya, an innovative B2B WealthTech startup headquartered in Abu Dhabi, backed by industry titans such as BNY Mellon, America's oldest bank, and Lunate, a leading $50B AUM alternative asset management firm. With a successful funding round of $300 million, we are on a mission to revolutionize wealth technology.Our goal is to empower our clients' wealth franchises by providing unique experiences, financial solutions, and insightful analytics. Our cutting-edge digital wealth management platform aims to assist banks and financial institutions in the Middle East to effectively engage affluent, high-net-worth (HNW), and ultra-high-net-worth (UHNW) investor segments.As a startup, we leverage the extensive capabilities of large organizations while fostering agile, cross-functional teams that drive innovation and efficiency.Role OverviewWe are creating a dedicated engineering team focused on production incident response and advanced debugging, ensuring permanent solutions across application, data, and deployment layers.This role transcends traditional operations—you will write code, implement fixes safely, and fortify our platform to prevent recurrence of issues. This position combines engineering and operations, allowing you to take complete ownership of outcomes: investigating incidents, deploying code fixes, and implementing preventative measures through testing, observability, and hardening.Lead the production incident response process, including triage, mitigation, stakeholder communication, and team coordination.Debug and resolve issues across Go services (mandatory) and other relevant services (e.g., Node.js).Collaborate across service boundaries: GraphQL/RPC, distributed tracing, and identifying performance bottlenecks.Troubleshoot Kubernetes workloads and deployments effectively.Diagnose PostgreSQL/CNPG-related issues.Manage production bugs that affect application and data pipelines (ETL/Snowflake mappings), including backfills/replays and data quality validation.Implement preventative strategies: add regression tests, enhance observability, and maintain operational documentation.Drive reliability improvements by establishing SLOs/SLIs, enhancing alert quality, and ensuring release readiness across teams.Automate post-deployment validation (smoke/regression) utilizing tools like Playwright, ensuring comprehensive test coverage for every fix to avert regressions.

P-1385 In today's landscape, businesses are channeling substantial investments into the development and implementation of AI technologies and the data platforms that support them. However, do they truly understand the intricacies of their operations? At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging global issues, from revolutionizing transportation to expediting medical innovations. We achieve this by constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their operations. Founded by engineers who prioritize customer satisfaction, we eagerly embrace every opportunity to confront technical challenges, including designing next-generation UI/UX for data interaction and optimizing our services across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Customer Foresight Team, you will spearhead the development of tools that empower customers to gain insights into their AI and data workloads, optimize performance, and reduce costs. You will craft data infrastructure capable of processing billions of entries daily, deploy across over 65 cloud regions globally, and support some of the world's most prominent companies in executing their DevOps, FinOps, SecOps, and AIOps operations. This role involves directing technical development throughout product milestones, from requirement refinement to execution, operation, and collaboration with the broader product development and partner teams to guarantee product success.

P-1394 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most significant challenges—from revolutionizing transportation to accelerating medical advancements. Our mission is fulfilled by creating and managing the industry's leading data and AI infrastructure platform, enabling our customers to harness deep data insights to enhance their operations. Founded by engineers with a customer-centric mindset, we eagerly embrace every challenge, whether it's creating cutting-edge UI/UX for data interaction or scaling our infrastructure across millions of virtual machines. Our engineering teams design technical products that address real, critical needs in today's world. We continuously push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We operate one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, and our software is designed to shield our customers from these issues seamlessly. As a Senior Software Engineer on the Observability team, you will develop observability solutions that provide critical insights into the health and performance of our products and infrastructure.

At Databricks, we are dedicated to empowering data teams to tackle some of the most complex challenges globally — from revolutionizing transportation to accelerating groundbreaking medical advancements. Our mission is realized through the development and management of the premier data and AI infrastructure platform, enabling our customers to harness profound data insights for business enhancement. Founded by engineers with a relentless focus on customer satisfaction, we eagerly embrace every opportunity to address technical challenges, ranging from crafting next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. Our journey in Bengaluru, India is just beginning, as we are in the exciting phase of assembling 10 new teams from the ground up!Our engineering teams create technical products that meet real and significant needs in the world. We constantly push the limits of data and AI technology while maintaining the security and scalability essential for our customers' success on our platform.We operate one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we encounter cloud hardware, network, and operating system faults, and our software must seamlessly shield our customers from these issues.As a software engineer in the Observability team, your role will be to develop observability solutions that deliver insights into the health and performance of our products and infrastructure.

Join Roku, a pioneering company in streaming technology, as a Senior Software Engineer specializing in Cloud Infrastructure and Observability. In this role, you will design and implement robust cloud solutions, focusing on performance, reliability, and scalability. You will collaborate with cross-functional teams to enhance our observability frameworks, ensuring seamless user experiences. If you're passionate about cloud technologies and want to make a significant impact, we want to hear from you!

Join Our Innovative India Tech Hub!Kobie Marketing, a leader in the loyalty industry with over 35 years of expertise, a multi-year Forrester Leader, and recognized as a Top Workplace in the USA, is expanding its global operations by launching a Tech Hub in India. We collaborate with renowned global brands to establish deep connections with their customers through tailored, data-driven loyalty experiences, all while fostering enterprise value through loyalty. This Tech Hub will function as a Global Capabilities Center for a diverse array of technology roles, presenting you with a unique opportunity to significantly influence our growth and presence in India. As we continue to excel in loyalty, delivering cutting-edge customer experiences for some of the world's most prestigious brands, you'll have the chance to work alongside a talented team dedicated to innovation.About the Team and Our VisionAs the Lead Observability Engineer, you will spearhead the strategy, implementation, and advancement of observability practices across all production and delivery environments. Your pivotal role will be to ensure system reliability, enhance performance visibility, and facilitate proactive issue resolution across our platforms.Operating at the crossroads of Engineering, DevOps, and Production Support, you will instill structure, standardization, and intelligence into our monitoring and system management practices. You will lead the transition from reactive operations to a proactive, AI-driven observability model, focusing on automated reliability.In this exciting role, your responsibilities will include:Owning and enhancing the observability platform (e.g., New Relic) to deliver comprehensive visibility across applications and infrastructure.Setting standards for monitoring, alerting, dashboards, and telemetry (logs, metrics, traces).Utilizing AIOps capabilities to enhance anomaly detection, diminish noise, and expedite root cause analysis.Driving automation and self-healing workflows to reduce manual intervention and enhance system resilience.Collaborating across teams to ensure systems are designed with observability in mind and meet reliability objectives.Continuously evaluating system behavior and incident patterns to optimize performance, scalability, and uptime.Join us in building a highly reliable, data-driven, and scalable operational ecosystem, where observability serves as a fundamental pillar for engineering excellence.

Cognite is a pioneering force in the realm of industrial digitalization. We are dedicated to developing cutting-edge AI and data solutions aimed at addressing some of the most complex and impactful challenges faced by industries worldwide. Our extensive industrial expertise, combined with a robust suite of low-code AI capabilities, empowers us to accelerate digital transformation and enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035 while redefining the operational landscape of global industries.

Cognite is at the cutting edge of industrial digitalization, developing advanced AI and data solutions to tackle some of the globe's most challenging and impactful problems. With an unparalleled industrial legacy and a rich suite of AI capabilities, including low-code AI agents, Cognite is committed to accelerating digital transformation for operational excellence.Our ambitious vision is clear: unlock $100 billion in customer value by 2035 and revolutionize the global industrial landscape.

Cognite stands at the cutting edge of industrial digitalization, developing AI and data solutions that tackle some of the world's most challenging, high-impact issues. With a rich industrial legacy and an extensive array of AI capabilities, including low-code AI agents, Cognite accelerates digital transformation efforts to enhance operational efficiency.Our ambitious goal is clear: unlock $100 billion in customer value by 2035 and revolutionize the global industry landscape.

Cognite is leading the charge in industrial digitalization, developing innovative AI and data solutions that tackle some of the world's most challenging and impactful issues. With an unparalleled industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite is dedicated to accelerating digital transformation to enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the functioning of global industries.