ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.
What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.
Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.
 

SUMMARY:

• As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:

• Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
• Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
• Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
• Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
• Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
• Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
• Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

REQUIREMENTS:

• Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity
• Proficiency in PySpark or Scala for Spark development
• Proven track record delivering ETL pipelines and data integration at scale
• Solid SQL skills and command of data modeling concepts
• Cloud platform experience (AWS, GCP, or Azure) in a production data context
• Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)

Nice to have:

• Experience with pipeline orchestration tools, particularly Apache Airflow
• Exposure to the geospatial or location analytics domain
• Familiarity with Hadoop ecosystem components
• Background in both Python and Scala (beyond Spark context)

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

May 2026

We are looking for a Principal Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.

What you’ll do (Role Expectations)

• Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot

• Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg

• Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack

• Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production

• Mentor junior engineers and elevate the team’s technical capabilities through high-accountability partnership

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of proven experience in backend development with a focus on building robust, tech-driven solutions

• Experience designing and developing microservices architecture using tools such as AWS, Kubernetes, RabbitMQ, SQS, and Tilt

• Technical proficiency in Java and Spring Boot

• Strong communication skills and a demonstrated ability to solve complex problems in a dynamic environment

• A self-driven approach to exploring new technologies and driving innovation

What Will Make You Stand Out (Preferred Qualifications)

• B.Sc. in Computer Science or a related field

• Experience in leading a team, a squad or a cross-team effort/tech area.

• Expertise in query optimization, data analytics, and building semantic layers

#LI-MP1

#LI-HYBRID

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

Be responsible to build and maintain state of the art Infrastructure to support Transmit Security vastly growing SaaS services. Build a resilient, scalable data-rich infrastructure that provides key functionality to tens of millions of users daily as well as our business stakeholders. As we see data to be core to our success, and inherent in every SaaS offering we provide, we are looking to reinforce our Infrastructure software engineering skills and grow our expertise in this field with emphasis on open-source tools and self development.

What you’ll do:

• Building a state-of-the-art resilient infrastructure that comprises of micro-services as well as reusable frontend and backend components.
• Provide architectural solutions for complex code issues.
• Accommodate diverse and evolving requirements from internal teams as well as customers through designing future-friendly APIs and software components.

What you’ll need:

• At least 5 years of hands-on experience with backend development in at least one of the following: TypeScript and NodeJS, Python, Java, Scala
• At least 5 years of hands-on experience with frontend development in at least one of the following: React, Angular, Vue
• Experience and good understanding of K8s, Helm, and other DevOps / delivery technology
• Experience with AI-assisted development workflows -- Advantage
• Experience with high-scale data-centric solutions -- Advantage
• Experience with Apache Beam -- Advantage
• Experience with Big Data solutions -- Advantage
• Expertise in PostgreSQL -- Advantage
• Experience in designing APIs and SDKs -- Advantage

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

Job Description : 

We offer the industry’s only platform that seamlessly integrates customer identity and anti-fraud solutions, including identity management, identity verification, and fraud prevention. 

Our solutions serve industries with large consumer-facing businesses, such as banking, financial services, insurance, fintech, gaming, e-commerce/retail, telecommunications/media, and utilities.

About the Role :

We’re looking for exceptional Senior Full Stack Engineers who take full ownership of their work—from technical design through implementation and into real-world usage.

This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.

You’ll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges.

We expect engineers to care about how their systems behave in production—not just whether they compile—and to help build reliable, scalable software that stands up to real-world demands.

What You’ll Do :

• Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
• Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
• Own your code through its lifecycle—from spec and architecture to deployment, monitoring, and evolution
• Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
• Work closely with product and design to define technical solutions that deliver real user impact
• Improve system architecture, performance, and development practices over time
• Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality

What You’ll Need :

• 5+ years of proven experience developing multi-service platforms at scale.
• Proficient in one or more of: TypeScript/Javascript (Node.js), Python, Java, Scala.
   
• 2+ years of hands-on experience with a modern frontend framework such as React, Angular, or Vue.
• Strong architectural and system design skills.
• Independent, persistent, and ownership-driven mindset with a “get things done” attitude.
• Experience designing and maintaining complex systems.
• Familiarity with cloud-based systems.
• A mindset of responsibility and care for what you build—not just delivering code, but building systems that perform reliably in production.

Bonus Points : 

• Background in security or identity
• Experience with cloud infrastructure and deployment tooling (e.g., GCP, Kubernetes, Terraform)
• Familiarity with observability tools (logs, metrics, tracing)
• Prior involvement in small teams, startups, or fast-paced environments
• Contributions to open-source projects or engineering communities

#LI-AM1 #LI-Hybrid 

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

Responsibilities:

• Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
• Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
• Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
• Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
• Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What We're Looking For:

• 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
• Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, Scala, or Go.
• Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.

Advantages:

• Bachelor’s degree in Computer Science or a related field.
• Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
• Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
• Background in identity management, risk assessment, or fraud detection.

#LI-AM1 #LI-Hybrid

Who we are

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

You are going to play a critical role in designing, implementing, and maintaining Carbyne's complex and life-saving critical communication systems. You'll be responsible for ensuring seamless, super-reliable, and scalable communication solutions that support our rapid expansion.

What You’ll Do

We are seeking a talented Software Engineer to take on the responsibility of end-to-end development for our innovative life-saving platform. In this role, you will be instrumental in advancing Carbyne’s life-saving products. Your contributions will extend beyond coding, directly impacting the future of 911 emergency communications and enhancing public safety as we know it today.

Here’s what you’ll be working on:

• Develop an emergency 911 eco-system
• Design, develop and maintain highly resilient services with fault-tolerant and self-healing functionalities
• Build modern, complex Web Apps and UI components.
• Develop our solution across global regions to provide any person in the world the ability to contact emergency services as quickly and effectively as possible
• Enable Carbyne’s business growth by opening up the system to business partners
• Explore opportunities to apply AI technologies to 911 emergency communications

What You Bring

• Bachelor’s degree in Software Engineering/Computer Science.
• Minimum of 7 years of experience in Backend Development, with a focus on Microservices (Experience in Scala is a plus, but we welcome expertise in any backend technology).
• Experience with cloud-based development, especially AWS- Advantage.
• Experience  in Frontend Development ( We use Angular but we welcome any other language)- Advantage.
• Skilled in creating RESTful APIs.
• Proactive /"Can-do" attitude and excellent interpersonal skills.

Diversity

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

At Databricks, our core values are at the heart of everything we do. Our culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data and Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Passion for delivering technical propositions, identifying customers' pain points and explaining essential areas for business value to develop a trusted advisor skillset.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced Data Engineering and/or Data science use cases.
• Experience diving deeper into solution architecture and expertise with at least one major public cloud platform.
• Code in a core programming language like Python, Java, or Scala.
• A foundational understanding of Apache Spark™ architecture is preferable; hands-on skills will benefit the role.

Notes on mandatory requirements:

• Flexibility to travel (up to 20-30% as required for customer meetings, events, and training).
• Business proficiency in Hebrew and English is required. Fluency in additional regional languages may be advantageous.

Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

Who you are

• 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc.
• Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems.
• Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc.
• Experience working with Docker, Kubernetes and designing scalable microservices architecture.
• Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.).
• Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink.
• Experience working with cloud providers such as GCP or AWS
• BSc in Computer Science or equivalent experience.
• Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing.
• A versatile developer with a “getting-things-done” attitude.

Nice to have

• Previous experience with online advertising technologies is a big plus.
• Familiarity with the cloud-native computing foundation.

#Hybrid#

We’re looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enables many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 1M records/sec) in a law latency as part of a dynamic team. 

Key Responsibilities: 

• End-to-end development of company massive data infrastructures and services. 

• Researching new technologies and adapting them for use in the company’s product  

• Working closely with the product, DevOps, and security teams  

Requirements: 

• 4+ years of experience with massive large-scale data systems platforms (Flink, Spark, Kafka, SQS...) and design principles (Data Modeling, Streaming vs Batch processing, Distributed Messaging...)   

• Expertise in one or more of the following languages: Java, Scala, Go 

• Hands-on experience with design and development production of large-scale distributed systems with an emphasis on performance 

• Familiarity with no-SQL DBs and relational DBs. We’re using technologies such as Clickhouse, Document DB, MySQL and Redis 

• Deep understanding of Object-Oriented Programming and software engineering principles   

• Experience with microservices, k8s - Advantage  

• Familiar with AWS platform- Advantage   

• Motivated fast independent learner and great at problem-solving   

• A team player with excellent collaboration and communication skills.  

• Bsc. in Computer Science from a known university 

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What You Will Do

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.

You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.

• Architect and implement distributed services that power AI-driven applications.
• Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
• Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
• Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
• Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
• Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
• Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

Who You Are

• Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
• 5+ years in Python /Java/Scala/C#/ Go
• Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
• Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
• Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proven track record in building scalable, distributed systems.
• Strong problem-solving, ownership, and collaboration skills.

Nice-to-Have Skills

•  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
• Interest in ML Ops, AI model deployment, and scaling AI workloads.
•  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
•  Any experience building AI-powered platforms or agent-based systems.

#Hybrid#

About the role:

Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.

ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.

Why should you join us?

You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.

What you will be doing:

• Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year.
• Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
• Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving.
• Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
• Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
• Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

Who are you?

• 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark.
• 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala).
• Backend and server-side development experience of complex, highly scalable systems.
• Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance.
• Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with Databricks or Airflow for orchestrating complex ML workflows.
• Are comfortable in a containerized environment (Kubernetes/Docker).
• Have experience with low-latency, real-time data serving or streaming (Kafka).

Axonius is seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

We are looking for a highly enthusiastic Data Engineer to join our group on the journey of leveraging Big Data to revolutionize our offering, business operations and decision making across the company’s ecosystem.

Job Responsibilities:

• Design, build & deploy backend data solutions to prod, starting from research and design to development and testing.
• Work closely with data engineers, product, architects and other R&D teams to deliver the best solutions to the business.
• Monitor the solutions in production to make sure they are fully stable, scalable and performant at all times.
• Work closely with data sciences experts

Profile and Experience:

• At least 3 Years of proven hands on experience with big data solutions and frameworks in production (Spark, Flink) – mandatory
• Proven ability of writing complex SQL queries – mandatory
• Strong analytical and problem-solving skills with attention to details - mandatory
• Production grade experience of writing spark applications using Scala or Java - mandatory
• Experience with Apache Airflow and AWS tools (EMR, Glue, Athena) – a big advantage
• Solid knowledge in Python and Linux operating systems – a big advantage
• Experience with Clickhouse – a big advantage
• Familiarity with the Ad Tech industry and RTB – an advantage
• Extensive experience in Functional programming, Unit testing/TDD, continuous Deployment – an advantage
• Familiarity with NodeJS - an advantage
• Fluent verbal and written English skills required

Axonius is seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

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