דרושים » מחשבים ורשתות » SRE Technical Lead, DevOps Group

At our company, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going. we are building cutting-edge solutions at the intersection of travel, expense, payments, and AI. As a leader in the AI for Travel domain, we are using intelligent, practical AI experiences to make business travel simpler, faster, and more reliable for travelers, travel managers, finance teams, and support teams.
We are constantly striving to make our systems reliable, scalable, and simple to operate so our services are available to travelers when they need them most. With our continued growth, we have exciting challenges ahead and we're looking for a Senior Site Reliability Engineer to join our team in Tel Aviv. This role blends classic SRE ownership with pragmatic AI SRE work: you will build and operate the platforms, automation, observability, and incident response practices that keep our company reliable, while helping teams use AI solutions, AI providers, and their APIs safely and dependably.
This is a hands-on engineering role, not a research role. You will partner with product, platform, data, security, support, and incident response teams to make production systems and AI-powered experiences more resilient. You will use software engineering, infrastructure as code, SLOs, telemetry, provider observability, and automation as your main tools, and you will apply AI where it creates measurable reliability value rather than novelty.
This position is based out of our new Tel Aviv office.
What You'll Do:
Support AI-based application solutions where reliability matters. Partner with the development teams building AI-powered travel experiences to support the development and production operation of their solution.
Work with AI solutions, providers, and APIs. Partner with teams integrating AI capabilities and providers, with attention to API reliability, authentication, quotas, rate limits, latency and provider-specific operational constraints.
Troubleshoot AI tools and provider issues. Diagnose failures across AI-powered workflows, provider APIs, configuration, permission errors, degraded responses and related areas.
Operate reliable production platforms. implement and run cloud infrastructure,and help product teams move quickly without compromising reliability.
Improve observability. Build dashboards, alerts, traces, logs, and runbooks that make service health clear, actionable, and tied to SLOs and customer impact.
Apply AI to SRE workflows. Prototype and productionize AI-assisted systems that create effective and efficient operations
Automate operational toil. Create tools, workflows, and automation that remove repetitive manual work and make operational knowledge easier to use.

We are looking for an experienced DevOps Manager to lead and grow our DevOps function. This role combines people leadership, technical direction, and ownership of the infrastructure, tooling, automation, and operational practices that power Stamplis production environment.

You will manage DevOps Engineers, hire and onboard an additional team member, and drive the strategy, execution, and evolution of Stamplis internal DevOps platform. You will work closely with Engineering, Data, AI, Product, and Security teams to improve developer experience, enable fast and safe delivery, and keep production stable.

This role requires a strong hands-on DevOps / Platform Engineering background, combined with proven leadership capabilities. If you believe DevOps should operate as a self-service platform, love automation, and think in systems and end-to-end flows, keep reading.


What You Will Do
Lead, mentor, and manage a DevOps team, fostering ownership, excellence, collaboration, and continuous improvement.
Own the DevOps roadmap, priorities, execution, and delivery, aligned with Engineering, Data, AI, Security, and business goals.
Provide technical and architectural guidance across infrastructure, CI/CD, cloud operations, automation, observability, security, and platform engineering initiatives.
Build and evolve our internal DevOps platform, creating self-service capabilities, internal services, and golden paths that scale across teams.
Own CI/CD end-to-end, including Jenkins, GitHub, and GitHub Actions pipelines from commit to production.
Oversee and evolve our AWS stack, including ECS, EKS, Lambda, DynamoDB, Redshift, S3, DocumentDB, networking, IAM, observability, and deployment patterns.
Enable MLOps and data workflows using tools such as Airflow, MLflow, and Jupyter Notebooks.
Drive an automation-first mindset through Infrastructure-as-Code, scripting, internal tooling, and reusable components.
Lead cost optimization efforts with a FinOps mindset, including visibility, budgets, rightsizing, and workload efficiency.
Ensure security is embedded into DevOps practices, including least privilege, secrets management, vulnerability scanning, secure SDLC, and incident readiness.
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, and ChatGPT Enterprise to improve team productivity and delivery speed.
Collaborate closely with cross-functional stakeholders to unblock delivery, improve developer experience, and maintain production stability.

Required SRE / DevOps Lead
About the Role
As our SRE / DevOps Lead, you'll own the reliability, scalability, and security of the infrastructure that powers our platform - a system trusted by leading wealth managers, banks, and consumer fintechs to handle some of the most sensitive financial data their users have. You'll lead a team of 2 SREs and partner closely with product engineering, security, and our compliance partners to make sure what we build runs the way our customers (and the IRS) expect.
This is a hands-on lead role. You'll set the technical direction for our cloud platform, deployment pipelines, observability, and on-call practices - and you'll write the code, configs, and runbooks that get us there. You'll also own our IT function (identity, endpoints, SaaS) at a tighter scope, keeping the company secure and productive as we grow.
What you'll do:
Lead and grow a team of 2 SREs, setting direction across SRE, DevOps, and IT
Own the architecture, performance, and reliability of our GCP-based platform - Kubernetes, Terraform, CI/CD, networking, and scale
Define and uphold our SLOs, infra budgets, on-call priorities, and incident response practice
Build and operate our observability stack so engineers can find and fix problems before customers feel them
Partner with engineering and security on the controls, evidence, and audits that keep us SOC 2, SOC1 and STIG compliant and IRS-authorized
Plan and execute capacity, load testing, and game days for tax season - the highest-stakes window of our year
Own corporate IT: identity (Okta), Google Workspace, endpoint management (Jamf / Kandji), and the SaaS stack used across the company
Set the standard for how we ship: fast, safe, observable, and reversible

Required ML Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job
It starts with you - a technical leader driven to build both the ML platform and the engineering team behind it. You care about reliable infrastructure, great developer experience, and growing engineers through real ownership. You'll set the technical direction for our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - shaping how models reach production across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments. You stay close enough to the codebase to debug production issues, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the ML platform driving Sovereign AI products - this role is for you.
Responsibilities
Set technical direction for the ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - through RFCs, prototypes, design reviews, and build-vs-buy decisions
Lead and grow a team of ML Engineers - hire, mentor, pair on hard problems, and raise the bar through code and design reviews
Contribute to critical systems, debug production issues, and maintain deep context on the codebase to inform technical decisions
Own operational excellence for model serving - set and enforce SLAs, run capacity planning, and keep compute costs predictable
Establish ML engineering standards - reproducible experiments, automated evals, model packaging, CI/CD for models, and observability
Support the full lifecycle of our models - from training on domain-specific data to low-latency inference powering production systems
Work closely with Data Platform, AI, Data Science, and Product teams - translate business priorities into engineering work and manage cross-team dependencies
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as model performance.

We're looking for a Platform Team Leader to own the foundational systems that power our R&D organization. The Platform team is a horizontal, internal-facing team - its customers are the engineers, data scientists, and analysts on our application teams, and its mission is to make them faster, safer, and more productive.

You will lead a team responsible for our production-critical data ingestion (scraping system, data normalization platform), our developer experience surface (Python mono repo, packages and services framework, CI/CD, shared images), our Airflow base layer, and our backoffice. These systems sit on the critical path for production - every other team depends on them, and uptime, incident response, and reliability are core to the role.

This role is for a hands-on technical leader who enjoys both shipping code and growing engineers. You'll spend roughly 50% of your time hands-on writing code, reviewing designs, and the rest leading the team, partnering with peer team leads, and shaping the technical direction of our platform with the VP R&D and CTO.

Responsibilities
Lead and grow a team of strong backend engineers, owning hiring, mentorship, performance, and personal growth.
Own the team's roadmap end-to-end: scoping, prioritization, delivery, and quality.
Drive the architecture and evolution of the platform layers your team owns - both the data plumbing that feeds us and the developer-experience surface other R&D teams build on.
Contribute hands-on (~50%) to design, code, code reviews, and production debugging.
Set and uphold engineering standards across the team - code quality, system design, testing, observability, and operational excellence.
Partner closely with peer team leads and the VP R&D to align on shared infrastructure, ownership boundaries, and developer experience.
Lead by example on production incidents and customer-impacting issues.
Influence broader R&D direction as a member of the R&D leadership forum.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

We're hiring a Mobile Team Lead to own the AppHarbr SDK, our mobile division that gives publishers real-time control over ad quality across iOS and Android.

We are looking for an experienced Mobile Team Lead to take full ownership of the AppHarbr SDK across iOS and Android. This is a hands-on technical leadership role, you will spend the majority of your time making architectural decisions, setting technical direction, and driving cross-functional execution across a team that includes offshore contributors, while writing and reviewing code. This is a team that moves with the tools available to it, AI-assisted development is part of how we work, not a future aspiration.

The SDK runs inside production apps across millions of devices, operating in real time alongside a continuously evolving ecosystem of third-party mediation layers and ad networks. Reliability, backward compatibility, and runtime performance are baseline expectations, not aspirational goals.

Responsibilities

Technical
Architect and develop high-performance, multi-threaded SDK code across iOS and Android.
Drive platform technical decisions, performance optimizations, and deep research into OS internals and third-party SDK behavior.
Own SDK stability across the full compatibility matrix, OS versions, devices, and mediation integrations.
Lead complex debugging efforts, reverse-engineer third-party integrations, and resolve integration issues for internal and external stakeholders.
Define and enforce best practices in testing, code quality, and CI/CD workflows.
Handle billions of impressions across millions of devices every day, maintaining a robust and scalable system at significant traffic scale.
Leverage AI-assisted development tools to accelerate code generation, debugging, and SDK analysis, and set the standard for how the team adopts them effectively.

Leadership
Lead, mentor, and grow a cross-platform mobile team including offshore contributors.
Own the AppHarbr domain end-to-end, translate product and business goals into technical execution.
Act as the primary technical point of contact across Product, Backend, QA, Customer Success, and external partners.
Conduct code reviews and provide ongoing technical guidance to raise the bar across the team.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidocs Imaging Platform.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow.
Youll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles.
This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together.
Responsibilities:
Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas.
Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership.
Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers.
Lead and formalize engineering best practices around performance, reliability, and observability.
Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.
Represent the group in company-wide architecture discussions and technical forums

we are looking for a DevOps Engineer.
our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

We are seeking a talented and experienced DevOps Team Lead to join our team. If you embrace fast-paced thinking. If you are passionate about working with state of the art technology. This could be your role!

This role combines technical leadership with team management and cross-functional collaboration. You will work closely with Engineering, Product, Solution Engineering, Customer Success, and other stakeholders across the organization to support business and customer needs..
Responsibilities
Lead, mentor, and grow the DevOps team, fostering a culture of ownership, collaboration, and continuous improvement.
Define and implement best practices for observability, monitoring, logging, alerting, and operational excellence.
Provide architectural guidance and recommendations for infrastructure and platform improvements.
Ensure infrastructure security, compliance, and operational resilience following cloud security best practices.
Drive CI/CD strategy and continuous delivery improvements across the organization.
Participate in on-call rotations and establish operational processes that maximize platform availability and reliability.