דרושים » הנדסה » Lead Software Engineer, DevOps

Required Software Developer
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

As an AI Developer on our Optimization team, you will play a key role in advancing our core optimization capabilities by infusing them with cutting-edge artificial intelligence.

Our team is on a mission to significantly enhance our existing, high-performance optimization engine. You'll tackle a diverse range of complex problems - including optimization of vehicle routing and scheduling - for our customers at a massive scale.

You will join our team at a pivotal moment and be an integral part of building our next-generation AI/ML capabilities from the ground up. As a key contributor, your responsibilities will span the entire model lifecycle, from augmenting our current optimization models with advanced AI to implementing the infrastructure for their deployment and monitoring.

You will apply state-of-the-art techniques such as Deep Reinforcement Learning (DRL), predictive analytics, and Graph Neural Networks (GNNs), all while working with rich datasets including Geographic Information System (GIS) data.

Another core part of your role will be implementing best practices for safe AI/ML rollouts. You will help build and maintain robust A/B testing frameworks and canary deployment strategies, ensuring our innovations reach production safely and effectively.

In this highly collaborative position, you will work closely with other engineers and scientists, as well as cross-functional product teams in the US, to bring these intelligent services to life.

Responsibilities:

Develop, implement, and deploy state-of-the-art optimization models and machine learning algorithms to solve complex business problems like vehicle routing and resource scheduling.

Design and build robust, end-to-end MLOps pipelinesfrom data ingestion and feature engineering to model training, validation, and serving in a production environment.

Translate complex scientific concepts and research papers into production-quality code, primarily using Python and leveraging frameworks like PyTorch and optimization libraries.

Conduct rigorous offline and online experiments to validate model performance, ensuring that solutions are statistically sound, reliable, and deliver measurable business impact.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

The performance engineering team for Service Cloud specializes in a deep understanding of its features, system architecture, usage patterns & traffic; and uses this knowledge to drive synthetic transactions for performance and scale insights. The team engages in analyzing complicated performance and scale challenges by developing various test models to simulate production traffic and to project growth. This is a great opportunity for engineers who are seeking to build & grow their career in performance engineering as well as to develop scaling and optimization insights on complex cloud applications. In this role, they will get software development opportunity to build tools and frameworks to measure, analyze, and optimize performance and scalability.

Responsibilities:

As a Performance Engineer with the Service Cloud team you will be responsible for:
Work closely with management, product owners, developers and quality engineers to understand product requirements, business use cases and to design appropriate performance/scalability simulations to measure and analyze performance and obtain insights into scalability and solve potential bottlenecks.
Participate in discussions and planning with other members of the engineering and product teams.
Design and implement scalability, stability, stress, reliability, availability, and longevity simulations using industry standard tools and custom developed software.
Encourage sound design principles that result in optimal code and non intrusive instrumentation.
Champion the definition of appropriate SLIs/SLOs appropriate service monitoring.
Mentor engineers in the organization.
Influence architecture by offering solutions for performance and scale challenges.

Required DevOps Engineer
As a key member of our engineering team, youll work at the intersection of development, operations, and reliability. Youll automate cloud infrastructure, ensure system performance, and maintain secure, scalable deployments in a regulated fintech environment.
Responsibilities:
Manage and enhance cloud infrastructure (AWS, GCP, Azure, or similar).
Develop, maintain, and automate CI/CD pipelines to streamline application delivery.
Implement Infrastructure as Code (e.g., Terraform, Ansible, CloudFormation) for provisioning and managing environments.
Set up and maintain monitoring, observability, and alerting systems using tools like Prometheus, Grafana, Splunk, New Relic, ELK, etc.
Define, track, and act upon SRE metrics (SLIs, SLOs, error budgets) to balance reliability and development velocity.
Participate in incident response, including root cause analysis and remediation.
Automate repetitive tasks to reduce toil and increase system resiliency and uptime.
Collaborate with developers and security teams to embed security and compliance best practices (e.g., PCI DSS, DevSecOps).
Support on-call rotation and continuously improve operational processes.

We are looking for a talented and motivated DevOps Engineer to join 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 meetingshelping customers deploy and configure 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 looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.

Key Responsibilities:

Software Infrastructure Design: Design, build, and maintain scalable infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

As a DevOps Manager , you will lead our Cloud infrastructure team. Building and maintaining scalable, secure, and cost-efficient infrastructure. You will drive the adoption of modern DevOps practices, ensuring alignment between business objectives, engineering workflows, and operational excellence. This leadership role requires a balance of hands-on expertise and strategic vision, empowering your team to deliver reliable, high-quality solutions across a fast-paced, dynamic environment. You will play a pivotal role in shaping Fiverrs cloud engineering strategy - optimizing costs, enhancing system reliability, and implementing innovative technologies (including Generative AI-driven automation and insights) to improve productivity and decision-making.

What am I going to do?:

* Lead and mentor a team of DevOps engineers, fostering a culture of collaboration, ownership, and continuous improvement.
* Design, implement, and maintain scalable, secure, and cost-efficient DevOps architectures.
* Continuously evaluate and adopt emerging DevOps tools and best practices to enhance operational efficiency and product quality.
* Drive adoption of Infrastructure as Code, observability, automated testing, and deployment strategies.
* Monitor infrastructure cost efficiency and reliability, providing data -driven insights to leadership.
* Guide the team in exploring and applying GenAI-native tools (e.g., for automating documentation, anomaly detection, self service for developers and performance optimization).
* Partner with cross-functional leaders to influence architecture, operations, and development workflows.
* Report to the VP of Cloud Engineering, contributing to Fiverrs long-term technology roadmap.

Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.