DevOps Data Team Leader Job at JFrog (Netanya/Tel Aviv)

Engineering Team Leader - Full Stack / Web Performance

The Bidding Platform organization is the core of the RTB business, processing ov...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

2+ years in a technical leadership role (Team Lead / Engineering Manager)
10+ years in hands-on Full Stack software engineering, with significant experience across frontend, backend, and with some understanding of DevOps aspects
Expertise in Web frontends creation and architecture
Experience with mobile application development (native or hybrid)
Proven strong analytical thinking and data-driven approach to decision-making and performance tuning
Extensive experience with web performance measures and optimization at scale

Job Responsibility

Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality
Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV)
Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally
Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams
Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments)
Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide
Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams

What we offer

Projects focused on high code quality – solid code reviews are our standard
Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers
Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses
Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects
Flexible working conditions – no core hours, fully remote cooperation

Fulltime

Engineering Team Leader

Optimove is a global marketing tech company, recognized as a Leader by Forrester...

Location

United Kingdom , Dundee

Salary:

Not provided

Optimove

Expiration Date

Until further notice

Requirements

B.Sc. (or higher) in Computer Science, or equivalent
Excellent knowledge of software design and scalable web architectures
Passion for clean, readable code and a responsive, high-performing web experience
5+ years of experience developing backend services in one of Python, Rust or Node.js
Javascript or Typescript experience with a modern framework (e.g. React, Angular)
Experience with Cloud Services (e.g. GCP, AWS or Azure)
Experience of automated unit-testing and CI/CD pipelines
Knowledge of SQL database design
Experience mentoring junior developers
Strong leadership skills to motivate and build a winning team

Job Responsibility

Lead, mentor, motivate and inspire an agile team of developers
50-70% hands-on, design and develop full-stack, end-to-end solutions in a scalable micro-services environment
As a data-driven company, you will work with multiple database types (e.g. MySQL, MSSQL, Redis, Mongo) and event streaming systems (e.g. Amazon SQS, Google Pub/Sub). We want you to identify and implement improvements to data quality, reliability, performance & efficiency at the level of the whole system
Work autonomously and collaboratively within the team and with Product Managers, UX Designers, Customer Success, DevOps and other development TLs to implement creative and robust solutions to various product and customer challenges
See the full picture. Own your team’s features and code from design to production and support, including automated testing and deployment

New

Data Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Austin

Salary:

90000.00 - 145000.00 USD / Year

Charles Schwab

Expiration Date

June 15, 2026

Requirements

Bachelors’ degree in Engineering/Technology
8+ years of professional experience in development, support, and maintenance of ETL and database applications
Deep understanding of Data Warehousing and Data Modeling concepts
3+ years of hands-on experience with Informatica’s Intelligent Data Management Cloud(IDMC)/Informatica Intelligent Cloud Services (IICS)
2+years of hands-on experience with GCP technologies (GCS, BigQuery, Dataproc)
1+years of experience with Control M
Strong SQL Knowledge
Experience with Shell, Python, PERL and other scripting languages
Familiar and comfortable with agile development techniques
Familiarity with SCM and DevOps tool suites and CI/CD best practices

Job Responsibility

Creation and maintenance of enterprise data assets, reporting, and data analytics that support business leaders in decision making, regulatory reporting, and continuous process improvement
Working closely with business and other stakeholders to understand the needs and implementation
Planning, estimation, scheduling, prioritization, and coordination of technical activities related to system development
Performing ETL design, development, data management and data analysis
Creating data model, performance tuning, load plan etc. Making sure that deliverables fulfill both functional and non-functional requirements
Provide guidance and technical oversight to junior engineers and vendor contractors, ensuring high-quality execution and fostering professional growth within the team
Engaging with both onshore and offshore teams to ensure the timely delivery of high-quality data engineering solutions
Ensuring system alignment to Architecture policies and best practices
ensure that process methodologies are followed in system development
Identifying opportunities for system reuse and system simplification

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Bonus or incentive opportunities

Fulltime

New

Vp, Business Technology

Genius Sports is transforming how enterprise technology is built and experienced...

Location

United Kingdom , London

Salary:

Not provided

Genius Sports

Expiration Date

Until further notice

Requirements

Proven experience leading an enterprise technology or business systems function in a fast-moving, commercially driven organization, with direct accountability for both strategic platforms and operational IT delivery. You have an engineering background and have built things, not just managed vendors
Deep familiarity with the tools in scope: Salesforce, Atlassian, Zendesk, Microsoft 365, Slack, and AI productivity platforms. You do not need to have run all of them simultaneously, but you need to know how they fit together
A track record of translating business requirements into technology decisions, and technology investments into measurable business outcomes
Strong commercial instincts. You understand vendor dynamics, know how to negotiate, and do not let the portfolio sprawl
Experience managing cross-functional stakeholders at senior level, including Finance, HR, Sales, and Operations leaders who have strong opinions about the tools they use
Solid grounding in identity and access management, endpoint management, and IT operations governance, enough to set standards and hold a team accountable. Alongside this, hands-on experience with infrastructure-as-code (Terraform), CI/CD pipelines, cloud platforms (AWS or Azure), and API-layer integration. You can work in code, review it, and build teams that ship it
Clear, direct communicator who can present to ExCo and board audiences without jargon and with a sharp focus on business impact
Hands-on experience deploying AI and automation tooling in production, including agentic workflows, MCP Servers, or API-integrated AI platforms. A grounded view of where generative AI adds measurable value in an enterprise context, and the governance instincts to deploy it responsibly
Experience operating within a SOX-compliant or similarly governed environment is an advantage

Job Responsibility

Lead the strategy, roadmap, and day-to-day operations for Genius Sports' core business systems, including Salesforce, Atlassian (Jira and Confluence), Zendesk, and Microsoft 365
Define the integration architecture between business systems and enterprise platforms, ensuring data flows cleanly between tools without creating operational debt
Manage vendor relationships in close partnership with Strategic Sourcing
Own the Workday integration layer, working with HR and Finance system owners to ensure data integrity and operational reliability across connected platforms. Position the team as a trusted integration partner as broader Workday ownership evolves
Architect and build the internal automation platform that will underpin how Genius Sports automates workflows, integrates systems, and delivers self-service capabilities across the business. This is not a buy-only function: you will be building
Own the IaC and DevOps practices for the Business Technology estate, using Terraform, CI/CD pipelines, and infrastructure-as-code standards to ensure platform environments are version-controlled, auditable, and scalable
Lead the design and deployment of agentic automation workflows, including integrations built on MCP Servers, AWS Bedrock, Zapier, and API-layer connectors that reduce manual process overhead across business functions
Partner with Engineering and Data teams to ensure the internal platform is built to the same standards as product engineering: proper source control, code review, deployment pipelines, and documentation
Drive the team's evolution from reactive IT support to proactive platform engineering, embedding engineering culture, practices, and accountability into how the function operates
Own the strategy and governance for enterprise AI and productivity tools, including Claude, ChatGPT, and Microsoft Copilot, ensuring deployment aligns with the company's AI governance framework

What we offer

competitive salary and range of benefits
support employee wellbeing and help you grow your skills, experience and career

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Devops Intern

Work under the coaching of your mentor and team leader; Practice coding with hig...

Location

Vietnam , Ho Chi Minh City

Salary:

3000000.00 - 4000000.00 VND / Month

Golden Owl Solutions

Expiration Date

Until further notice

Requirements

Final-year students in Computer Network, IT or related major
Good knowledge of Object-oriented programming or Functional programming
Well understand data structure and algorithm, computer architect, system operation, or database
Understand the OSI model, firewall, DHCP, DNS and common network components
Good at Linux or Unix, bash script
Basic knowledge of Git
Awareness of monitoring, logging and tracing (Prometheus, Grafana, EFK, Elastic stack, Splunk, Jaeger, Open Telemetry, etc)
Ability to research & adapt new technology
Good command of English is a plus
Personal laptop is required

Job Responsibility

Work under the coaching of your mentor and team leader
Practice coding with high-quality and effective outputs
Estimate tasks and implement tasks, follow quality guidelines and time plan for the project
Report task progress if needed
Cooperate with other team members (PC and QC, team lead, and other engineers)

What we offer

Competitive allowance: 3.000.000 - 4.000.000 VND/month + parking allowance
Tea-break & team-building monthly
Opportunity to experience a professional working environment
On-job training
English training
Opportunity to be promoted to a full-time position after an internship

Fulltime

Architect, Data & AI

Microsoft Industry Solutions - Global Center Innovation and Delivery Center (GCI...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and Delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of delivery methodologies (Agile, Scrum, DevOps, etc.) and adopt emerging practices for faster Go To Market (GTM) using Hyper Velocity Engineering
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
Enterprise Data Architecture & Modern Platforms
Data Engineering & Large Scale Data Processing
Database Platforms, Performance & Capacity Engineering
AI First Data Engineering & Unify Your Data

Job Responsibility

AI-First Delivery Leadership
Engineering Excellence
Innovation & Thought Leadership
Client Engagement & Solutioning
Team Management & Mentorship
Quality & Compliance
Embody our culture and values

Fulltime

Principal Software Engineer

We are seeking a hands-on Principal Engineer / Engineering Manager to lead the d...

Location

United States , Plano

Salary:

127500.00 - 221800.00 USD / Year

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
10+ years of software engineering experience, with strong backend focus
5+ years designing and building large-scale distributed systems
Proven experience as a technical lead, principal engineer, or engineering manager
Deep expertise in Java, Spring Boot, and strong proficiency in Python
Strong experience with microservices, RESTful APIs, and event-driven architectures
Hands-on experience with streaming technologies (e.g., Kafka) and real-time data platforms
Expertise in cloud-native architecture (Azure, AWS, or Google Cloud)
Strong understanding of system design, scalability, and performance optimization
Experience with database design (SQL/NoSQL) and large-scale data processing

Job Responsibility

Lead architecture, design, and development of scalable backend systems for warehouse and supply chain operations
Drive event-driven architecture and real-time processing using modern streaming platforms (e.g., Kafka)
Build and evolve microservices-based platforms using Java, Spring Boot, and Python
Define and enforce engineering best practices, design patterns, and coding standards across teams
Act as a technical leader and mentor, guiding engineers and conducting design/code reviews
Partner with Product, Operations, and Business teams to translate requirements into scalable solutions
Own end-to-end system architecture, including API design, data models, and integration patterns
Lead cloud strategy and implementation across Azure, AWS, or GCP environments
Ensure systems meet performance, scalability, reliability, and security standards
Drive adoption of CI/CD, DevOps practices, and platform engineering capabilities

What we offer

Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
Medical
Dental
Vision
Disability
Health and Dependent Care Reimbursement Accounts
Employee Assistance Program (EAP)
Insurance (Accident, Group Legal, Life)
Defined Contribution Retirement Plan

Fulltime

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DevOps Data Team Leader

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