דרושים » ניהול ביניים » DevOps Engineer (Data Platform Group)

we are looking for a Senior Data Engineer.
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows

We are seeking a Senior DevOps Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What you'll be doing all day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.

Required Senior DevOps Engineer, Data Platform
The opportunity
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale.

The Performance Marketing Analytics team is seeking a highly skilled Senior Data platform Engineer to establish, operate, and maintain our dedicated Performance Marketing Data Mart within the Snowflake Cloud Data Platform. This is a critical, high-autonomy role responsible for the end-to-end data lifecycle, ensuring data quality, operational excellence, and governance within the new environment. This role will directly enable the Performance Marketing team's vision for data-driven marketing and increased ownership of our analytical infrastructure
Responsibilities
Snowflake Environment Management
Administer the Snowflake account (roles, permissions, cost monitoring, performance tuning).
Implement best practices for security, PII handling, and data governance.
Act as the subject matter expert for Snowflake within the team.
DevOps & Model Engineering
Establish and manage the development and production environments.
Maintain CI/CD pipeline using GitLab to automate the build, test, and deployment process.
Implement normal engineering practices such as code testing and commit reviews to prevent tech debt.
Data Operations & Reliability
Monitor pipeline executions to ensure timely, accurate, and reliable data.
Set up alerting, incident management, and SLAs for marketing data operations.
Troubleshoot and resolve platform incidents quickly to minimize business disruption.
Tooling & Integration
Support the integration of BI, monitoring, and orchestration tools
Evaluate and implement observability and logging solutions for platform reliability.
Governance & Compliance
Ensure alignment with Entain data governance and compliance policies.
Document operational procedures, platform configurations, and security controls.
Act as the team liaison with procurement, infrastructure, and security teams for platform-related topics.
Collaboration & Enablement
Work closely with BI, analysts and data engineers, ensuring the platform supports their evolving needs.
Provide guidance on best practices for query optimization, cost efficiency, and secure data access.

We are looking for a talented and motivated DevOps Engineer to join our Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.

As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetings, helping customers deploy and configure our platform successfully.

Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

we are seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.
Responsibilities
Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

We are looking for a strong Senior DevOps Engineer to join the hunt!

Responsibilities:

Actively participate in hands-on technical tasks, contributing to the development, deployment, and maintenance of our observability platform.
Design, implement, secure and maintain the infrastructure, CI/CD pipelines, and deployment processes to support the platform on SaaS/ST/On-Prem deployments.
Take full end-to-end responsibility for all infrastructure related projects
Collaborate with the development, SE, QA, and product teams to ensure smooth integration, testing, and deployment of software releases.
Drive automation and scalability efforts to optimize system performance, reliability, and availability.
Continuously monitor and improve the observability, monitoring, and logging systems to ensure the stability and performance of the platform.
Stay up-to-date with the latest industry trends and technologies, and evaluate their potential impact and benefits for .
Manage and maintain environments across AWS and other public cloud providers

We are seeking a Senior Production Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What You'll Be Doing All Day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.

we're on a mission to revolutionize behavioral health care. Our cutting-edge platform transforms behavioral health conversations into automated documentation and actionable insights. By doing so, we empower therapists, enhance patient care, and drive better outcomes. As we continue to grow, we seek an experienced DevOps Engineer to join our DevOps team.

You'll play a pivotal role in shaping our cloud infrastructure and fostering a DevOps-oriented culture. Here's what you'll be doing:

Build and design efficient and high-quality cloud architectures.
Ensure seamless integration of DevOps principles into our organizational culture.
Work closely with our development teams during architecture planning and design phases.
Champion DevOps practices and facilitates continuous learning across various R&D domains.
Mentor and guide developers on best practices for efficient and automated workflows.
Manage, monitor, and scale our distributed highly available SaaS platform.
Troubleshoot issues and optimize performance.
Utilize major technologies to deliver high-scale SaaS and big data environments on Public Clouds.
Build, implement, and manage our IaC methodology using Terraform.
Play a key role in our FinOps activities, monitoring, maintaining, and reducing cloud costs.
The DevOps Engineer will be part of our cross-organization DevOps

This is a unique opportunity to join a startup that has a meaningful impact on the well-being and mental health of thousands.

Required Senior Data Engineer
About us:
A pioneering health-tech startup on a mission to revolutionize weight loss and well-being. Our innovative metabolic measurement device provides users with a comprehensive understanding of their metabolism, empowering them with personalized, data-driven insights to make informed lifestyle choices.
Data is at the core of everything we do. We collect and analyze vast amounts of user data from our device and app to provide personalized recommendations, enhance our product, and drive advancements in metabolic health research. As we continue to scale, our data infrastructure is crucial to our success and our ability to empower our users.
About the Role:
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.