דרושים » תוכנה » Senior DevOps Engineer

We are looking for a Senior BackEnd Developer.
As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.
Responsibilities:
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

Required Senior DevOps Engineer
We are revolutionizing the way companies connect with their customers and audiences. We enable B2B marketers to fully manage and optimize social media to drive their businesses forward in a scalable and measurable way. Leading B2B organizations all over the world such as ACI Worldwide, Snowflake and Fujitsu are using us to improve and understand their social presence in order to make better business decisions. We are a global, fast-paced, and innovative start-up with offices in Ramat Gan, London, and Grand Rapids (MI).
As a Senior DevOps Engineer, you will be responsible for designing, implementing, and optimizing our AWS-based infrastructure to support our B2B social media management platform. You will build and enhance CI/CD pipelines, improve system observability, and ensure the reliability and security of our cloud environment. Working closely with development teams, you will streamline deployments, optimize front-end resource delivery, and contribute to scaling our infrastructure. If you thrive in automation, enjoy solving complex cloud challenges, and are passionate about building efficient and resilient systems, we want to hear from you!
Responsibilities
Infrastructure Management - Design, implement, and maintain scalable, reliable, and secure cloud infrastructure on AWS to support our marketing and social media solutions.
CI/CD Pipeline Development - Build, automate, and optimize CI/CD pipelines to ensure seamless and efficient deployment processes across multiple environments.
Process Automation - Develop automation strategies to improve deployment efficiency, system stability, and reduce manual intervention.
System Monitoring & Observability - Implement monitoring, logging, and alerting solutions to track system health, performance, and security.
Security Best Practices - Ensure infrastructure security and compliance, implementing best practices to protect sensitive data.
Cross-Team Collaboration - Work closely with development and product teams to integrate DevOps practices, troubleshoot issues, and support continuous improvement.
Documentation & Reporting - Maintain comprehensive documentation of system configurations, processes, and performance metrics to facilitate knowledge sharing.
Front-End Resource Delivery & CDN Optimization - Optimize CDN strategies and deployment processes for efficient front-end resource delivery.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are looking for a DevOps Engineer to join our growing RND team to lead and support all DevOps activities of our SaaS platform, environments, and product delivery. Continuously improve platform stability, scalability, and maintenance, as well as establishing easy deployments processes and automation solutions.
As a DevOps Engineer, you will:
Build and maintain our AWS cloud environments
Automate solutions and environments setup
Design and apply high scalability solutions
Automate CI\CD pipelines
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Collaborate with developers, cyber security researchers, product designers and QA engineers as a daily routine.

We are seeking an experienced Backend Tech Lead to join our recommendations group. As a Tech Lead, you will be instrumental in shaping the technical direction and architecture of our backend systems. You will leverage your deep expertise in backend technologies to design, build and scale backend services while guiding a group of engineers toward delivering robust, high-performance solutions. This role offers the opportunity to collaborate with cross-functional teams and contribute to projects that impact the entire organization. If you're a leader with a passion for backend development, we would love to have you on board!

Role

As a Backend Tech Lead, your responsibilities will include:
Mentoring and guiding backend engineers to ensure high-quality code and effective development processes.
System design and architecture: Designing scalable, efficient, and secure backend systems, including APIs and data storage solutions, using technologies like Python, MySQL, Redis and Elasticsearch.
Tech stack evolution: Driving improvements in backend technologies, frameworks and development practices.
Cross-functional collaboration: Working closely with product managers, frontend teams and other stakeholders to ensure backend services meet business requirements and technical specifications.
Performance and scalability: Ensuring that our backend services are highly available, scalable and optimized for performance.
Cloud infrastructure: Overseeing cloud services and ensuring backend systems are seamlessly integrated with cloud platforms.
Code quality and best practices: Writing and maintaining clean, maintainable and well-documented code, while fostering a culture of code reviews, continuous improvement and adherence to best practices.
Technical leadership: Owning the technical direction of backend systems, making key architectural decisions and promoting industry best practices within the group.

We're looking for an experienced DevOps Engineer to join our DLP+ SSPM team. Reporting to the Director, Engineering you'll be responsible for:
Developing and maintaining CI/CD pipelines.
Automating infrastructure and deployment processes.
Driving operational excellence by implementing best practices for workflows, processes, and organizational efficiency.
Optimizing costs and promoting the sustainability of multiple production workloads.
Collaborating across teams to streamline development and operational workflows.

As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.

Role & Responsibilities:
- Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
- Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
- Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
- Ensure high availability, performance, and security of backend services.
- Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
- Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.

We're looking for an experienced DevOps Engineer to join our DLP+ SSPM team. Reporting to the Director, Engineering you'll be responsible for:

Developing and maintaining CI/CD pipelines.
Automating infrastructure and deployment processes.
Driving operational excellence by implementing best practices for workflows, processes, and organizational efficiency.
Optimizing costs and promoting the sustainability of multiple production workloads.
Collaborating across teams to streamline development and operational workflows.

We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.

What Youll Do:

Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

seeking a Site Reliability Engineer who excels at bridging the gap between infrastructure and development. In this role, you will work closely with engineering teams to ensure the reliability, scalability, and performance of our systems. A strong emphasis will be placed on observability - designing and implementing effective monitoring, logging, tracing and alerting solutions to provide deep visibility into system behavior. You should be comfortable collaborating with developers, presenting technical insights, and helping shape best practices. Your responsibilities will include incident management, automation and improvement of our observability solutions, and continuous performance tuning to ensure our platform can scale and evolve with our business needs.

Role:
Ensure production systems meet or exceed established SLAs and SLOs by actively maintaining and enhancing system performance and uptime.
Design and maintain end-to-end observability systemsincluding monitoring, logging, and distributed tracingto detect anomalies and enable proactive issue resolution.
Work closely with engineering teams to improve how their applications are monitored and alerted on. Help define meaningful alerts, reduce noise, and ensure developers are accountable for the operational health of their services.
Optimize application performance on Kubernetes through resource tuning, scaling strategies, and deep performance analysis.
* Provide guidance on reliability-first design, instrumenting code for observability, and using Grafana dashboards to drive decision-making and incident response.