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We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

We are looking for an Escalation Engineer (part of the Engineering organization) to support escalation points from both the Customer Success organization as well as internally within the engineering teams. This position may also include interfacing with customers.



Responsibilities:

Troubleshoot, debug, analyze logs, profile code & provide temporary or permanent solutions.
Work closely with engineering teams to propose fixes or temporary workarounds for critical customer issues.
Build supporting automation to improve productivity (of both yourself and the team).
Understand customer use cases and work closely with Customer Success Engineers and Solution Architects to be an effective channel between Engineering teams and Customer Success.
Take complete ownership and follow-up on escalations.
Collaborate cross-functionally to solve difficult technical problems.

We are looking for a passionate and skilled Senior DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.

As a Senior DevOps Engineer , you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.



Responsibilities:

Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
Automate infrastructure provisioning using tools like Terraform/Terragrunt, and leveraging GitOps methodologies.
Implement and maintain CI/CD pipelines to support multiple development teams.
Establish best practices for observability, logging, and alerting using technologies such as Datadog, Coralogix, OpenTelemetry, and Prometheus/Grafana.
Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
Manage and operate message brokers (RabbitMQ), databases (MySQL, Redis), at scale.
Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:

Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience.
Our Technical Account Managers are trusted advisors and consult our customers upon their monitoring, security & observability journey. This role embodies the critical intersection of very high technical expertise and a focus on customer satisfaction, renewal and expansion.
Technical Account Managers are senior-level roles and are expected to professionally and accurately solve problems, show product value and interact across different platforms and types of software, from software engineers and DevOps all the way to the C-suite.
Responsibilities:
Solve customers technical problems by adopting the platform, integrating new data and existing integrations
Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value
Lead the onboarding process, from new integrations, creation of artifacts to trainings and troubleshooting
Know the Log Management / Observability markets well and be able to help customers by using the best technical practices available
Build a successful and ongoing game plan for each customer based on a specific data analysis and customers needs
Establishing relationships and engaging with technical counterparts to drive product adoption
Conduct QBRs with customers to consistently reflect delivered value and ensure customers needs
Advocate internally for customer needs within and influence a product development roadmap
Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. our production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before.
As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage