Information Systems Engineer jobs at Melio in Israel, Tel Aviv-yafo

As an Information System Engineer, you will manage and optimize our IT infrastructure while implementing efficient access controls and automation across our enterprise systems and business platforms.

You will be responsible for our IT operations and enterprise systems management. You'll administer identity and access management platforms, manage business applications including project management tools, and build automation solutions that streamline IT service delivery and enhance employee productivity.

Qualifications:

- 3+ years of experience in IT operations, systems administration, or enterprise infrastructure

- Hands-on experience with identity and access management platforms

- Knowledge of access provisioning, user lifecycle management, and just-in-time access

- Experience with automation tools, scripting (Python, PowerShell), and REST APIs

- Experience with ITSM processes, ticketing systems, and service delivery

- Excellent troubleshooting skills and process improvement mindset

IT Infrastructure & Systems Management

- Manage IT service delivery, user support, and system performance across the organization

- Oversee system integrations, user provisioning, and comprehensive IT asset management

Identity & Access Management

- Administer SSO and manage user access across all enterprise systems

- Implement efficient user provisioning and de-provisioning workflows

- Maintain access controls and user lifecycle management processes

IT Operations & Service Delivery

- Develop IT automation solutions to streamline operations and reduce manual workload

- Create self-service IT capabilities and efficient onboarding/offboarding processes

System Administration & Optimization

- Implement IT operational improvements that enhance productivity and user experience

- Maintain documentation, change management, and IT service standards

- Partner with teams across the organization to understand and fulfill technology requirements

- Provide technical guidance on IT processes and system utilization best practices

- Troubleshoot and resolve issues across the entire IT ecosystem efficiently

- Design and enforce zero trust policies across development and operations infrastructure

Automation & Systems Integration

- Build and maintain API integrations between engineering tools and security platforms

- Develop custom automation solutions to eliminate manual administrative overhead

- Create self-service capabilities and streamlined onboarding processes

Security & Compliance

- Monitor and audit access patterns across all engineering systems

- Implement security controls that enable rather than hinder developer velocity

- Ensure compliance with security policies while maintaining operational efficiency

- Partner with engineering teams to understand infrastructure and workflow requirements

- Provide technical guidance on security best practices and access management

- Troubleshoot and resolve issues across the engineering operations ecosystem

As a, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, you’ll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the team’s overall growth and success.

• Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
• Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
• Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
• Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
• Drive initiatives to improve data quality, governance, and observability across the analytics stack.
• Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
• Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.

• 7+ years of experience in data engineering or related roles, with a proven track record of technical leadership and team support.
• Expertise in SQL and advanced proficiency in Python for data workflows.
• Extensive experience designing and implementing scalable, analytics-ready data models and cloud data warehouses.
• Hands-on expertise with data orchestration and transformation frameworks (e.g., Airflow, Luigi, AWS Glue, DBT).
• Strong familiarity with cloud data services (e.g., AWS, GCP, Azure).
• Demonstrated ability to lead and support teams, communicate effectively, and foster collaboration across functions.

• Experience mentoring or managing engineers in a fast-paced environment.
• Strong understanding of business metrics and how to translate data into strategic insights.
• Familiarity with data governance and observability best practices.
• Passion for building data culture and driving adoption of data tools across the company.

• Leading the most complicated data projects Melio has to offer Hands on
• Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
• Leading the technical direction of new pipelines or data modeling initiatives.
• Meeting with product managers and analysts to align on priorities and define the right data solutions.
• Guiding your team through design discussions, trade-offs, and implementation decisions.
• Helping the team deliver with high reliability, scalability, and speed.
• Driving initiatives that improve the maintainability, observability, and impact of the data platform.

Qualifications:

• 7+ years of professional experience as a software engineer with frontend and backend development.
• Experience working with at least one of the following frameworks: React/Vue/Angular.
• A deep understanding of production systems and the architecture of web products.
• Excellent knowledge of JavaScript/html5/CSS.

Bonus points:

• Independent, fast learner, and excited about learning new technologies.
• Proactive team player with a desire to impact our team, our product, and our customers.
• 1+ years of experience with Node.js is a big advantage.

A day in the life and how you’ll make an impact:

• Each member of our team is an all-around player who influences the product from the overall experience to the development.
• You’ll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
• You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

About the Engineering department:

Serverless gives us the freedom to build, scale and deploy applications faster than ever. We combine the usage of relational and document DBS, write mainly in TypeScript and Python for consistency and ability to share resources.

Read more about our Engineering department .

As a
DevOps Engineeryou will join our DevOps team that is passionate about getting to the bottom of the products’ needs, finding and implementing the best possible solutions, and empowering our engineering teams to move fast and deliver stable, secure and high-quality products. As part of the Platform Engineering group, you will have the drive to make sure that all the infrastructure is at its best from all aspects, from security to code delivery, in our almost completely serverless environment.

We aspire to be as serverless as possible and heavily use lambda functions, as well other AWS services such as SQS, SNS, CloudFormation SAM and RDS.

Qualifications:

• 5+ years of experience as a DevOps Engineer or in a similar role
• Significant experience working with AWS
• Extensive experience in CI/CD with a focus on integration security, including data protection, infrastructure, application operations, and comprehensive monitoring
• Experience with Terraform, CloudFormation or equivalent solutions
• Knowledge of observability and monitoring tools, with a focus on security
• Demonstrated ability to collaborate with cross-functional teams to execute project plans effectively.A deep understanding of production systems and scalable architecture
• You are Independent and proactive learner, excited about new technologies, and a team player eager to make an impact on the team, product, and customers.

Bonus points:

• Experience with serverless services
• Proficiency in Python, Node.js, or other scripting languages
• Experience in managing and provisioning databases.
• Expertise in DataDog

A day in the life and how you’ll make an impact:

You’ll Make An Impact On:

• Code delivery - CI/CD process. Making sure it’s as efficient as possible.
• Monitoring and visibility of our product’s alerts and metrics.
• Security - we believe that Sec is an integral part of the DevOps methodology and you’ll need to be aware of it in any decision you make.
• Infrastructure, entirely. Databases, lambda functions, 3rd party products etc.
• You will work closely with the engineering teams to empower them and provide them with guidance and seek to continuously improve processes across R&D.

About the hiring department:

The Platform engineering group is responsible for 2 main areas:

• DevOps - all Melio’s Devops engineers are building the engineering infrastructure and responsible for SRE (site reliability engineering) and DevX (Developer Experience)
• Platform Services - Common services that serves Melio’s products (Such as authentication service, file service, Notifications such as emails and SMS sent to users And developers’ common tool, templates and packages

Serverless gives us the freedom to build, scale and deploy applications faster than ever. We combine the usage of relational and document DBS, write mainly in TypeScript and Python for consistency and ability to share resources.

Read more about our Engineering department .

As a
DevOps Engineeryou will join our DevOps team that is passionate about getting to the bottom of the products’ needs, finding and implementing the best possible solutions, and empowering our engineering teams to move fast and deliver stable, secure and high-quality products. As part of the Platform Engineering group, you will have the drive to make sure that all the infrastructure is at its best from all aspects, from security to code delivery, in our almost completely serverless environment.

We aspire to be as serverless as possible and heavily use lambda functions, as well other AWS services such as SQS, SNS, CloudFormation SAM and RDS.

Qualifications:

• 5+ years of experience as a DevOps Engineer or in a similar role
• Significant experience working with AWS
• Extensive experience in CI/CD with a focus on integration security, including data protection, infrastructure, application operations, and comprehensive monitoring
• Experience with Terraform, CloudFormation or equivalent solutions
• Knowledge of observability and monitoring tools, with a focus on security
• Demonstrated ability to collaborate with cross-functional teams to execute project plans effectively.A deep understanding of production systems and scalable architecture
• You are Independent and proactive learner, excited about new technologies, and a team player eager to make an impact on the team, product, and customers.

Bonus points:

• Experience with serverless services
• Proficiency in Python, Node.js, or other scripting languages
• Experience in managing and provisioning databases.
• Expertise in DataDog

A day in the life and how you’ll make an impact:

You’ll Make An Impact On:

• Code delivery - CI/CD process. Making sure it’s as efficient as possible.
• Monitoring and visibility of our product’s alerts and metrics.
• Security - we believe that Sec is an integral part of the DevOps methodology and you’ll need to be aware of it in any decision you make.
• Infrastructure, entirely. Databases, lambda functions, 3rd party products etc.
• You will work closely with the engineering teams to empower them and provide them with guidance and seek to continuously improve processes across R&D.

About the hiring department:

The Platform engineering group is responsible for 2 main areas:

• DevOps - all Melio’s Devops engineers are building the engineering infrastructure and responsible for SRE (site reliability engineering) and DevX (Developer Experience)
• Platform Services - Common services that serves Melio’s products (Such as authentication service, file service, Notifications such as emails and SMS sent to users And developers’ common tool, templates and packages

Serverless gives us the freedom to build, scale and deploy applications faster than ever. We combine the usage of relational and document DBS, write mainly in TypeScript and Python for consistency and ability to share resources.

Read more about our Engineering department .

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

• Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
• Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
• Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
• Develop and optimize analytics-oriented data models to support business decision-making.
• Champion data quality, consistency, and governance across the analytics layer.

Qualifications:

• 5+ years of experience as a Data Engineer or in a similar role.
• Expertise in SQL and proficiency in Python for data engineering tasks.
• Proven experience designing and implementing analytics-focused data models and warehouses.
• Hands-on experience with data pipelines and ETL/ELT frameworks (e.g Airflow, Luigi, AWS Glue, DBT).
• Strong experience with cloud data services (e.g., AWS, GCP, Azure).
• A deep passion for data and a strong analytical mindset with attention to detail.

Bonus points:

• Strong understanding of business metrics and how to translate data into actionable insights
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Familiarity with data governance and data quality best practices
• Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

What your day might look like:

• Leading the design and implementation of scalable data pipelines to support analytical workloads.
• Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
• Writing and optimizing ETL processes to ensure seamless integration of new data sources.
• Designing analytics-focused data modeling solutions tailored for strategic decision-making.
• Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
• Sharing knowledge and mentoring team members to promote a culture of learning and excellence.

As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable.

Qualifications:

• 3+ years of experience working as a BI Developer or Data Engineer
• Excellent SQL skills
• Python proficiency
• Experience designing analytics-oriented data models and data warehouses
• Experience working with data pipelines and ETL processes (e.g., Airflow, Luigi, AWS Glue, DBT)
• Passionate about data with a strong analytical approach
• Experience working with cloud environment services (e.g., AWS, GCP, Azure)

Bonus points:

• Strong understanding of business metrics and how to translate data into actionable insights
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Familiarity with data governance and data quality best practices
• Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers

How is your day going to look, what will you be doing?

• Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
• Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
• Design data analytics modeling solutions focused on business decision-making
• Write robust ETL processes, handling a variety of structured and unstructured data sources
• Ensure data quality, consistency, and governance across the analytics layer