דרושים » הנדסה » Staff Engineer

We are seeking a Senior Full Stack Developer to play a key role in scaling the platform that powers our companys legal data operations. In this role, you will not only drive the development of complex, high-impact systems but also mentor and elevate the engineering team. Youll work across the stack-from frontend experiences to backend services in Node.js-while shaping the future of our AI-driven features and strengthening our data workflows through ETL pipelines.
This is a unique opportunity for a proactive and technically sharp engineer who thrives on solving complex problems, setting technical direction, and helping others grow. If youre passionate about system architecture, modern development practices, data engineering, and building AI-powered solutions, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills and leading the technical side.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

As a Platform Team Lead , you will lead a critical cross-functional team focused on building and evolving the core infrastructure that powers our Big Data, Marketing Tech, CRM, and Data Science initiatives.

You will drive technical strategy, mentor engineers, and work closely with R&D, Product, and Data Science teams to deliver high-performance, scalable, and innovative platform solutions.




What You'll Be Doing

Lead and grow a high-performing platform engineering team.
Design, develop, and maintain scalable backend systems, ensuring stability, performance, and operational excellence.
Build core services and infrastructure that enable Marketing, Data Science, CRM, and Engineering teams to move faster and smarter.
Drive platform initiatives around Big Data processing, event-driven architectures, and distributed systems.
Partner with stakeholders across the company to understand evolving business needs and translate them into technical solutions.
Champion innovation by evaluating and integrating new technologies, frameworks, and practices that elevate our product and internal capabilities.
Maintain a high bar for code quality, security, and scalability.
Provide hands-on technical leadership guiding design, code reviews, and system architecture discussions.
Foster a culture of learning, collaboration, and continuous improvement.

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

Were looking for an experienced Staff Engineer to join our CTO Office, focusing squarely on engineering excellence and platform scalability. Youll partner with senior technical leaders to define best practices, design and validate scalable architectures, and build the frameworks and automation that enable our teams to deliver reliable, high-performance products at scale.

On a typical day, youll
Architect for scale & reliability: Design, review and validate core platform components to support rapid growth in traffic, data volume, and feature velocity.
Elevate engineering standards: Define and evangelize coding standards, CI/CD pipelines, test automation frameworks, and observability practices.
Lead reviews & mentor: Conduct regular architecture and code reviews; coach senior engineers and drive continual improvement across teams.
Cross-functional collaboration: Work with product, security, and infrastructure teams to align on non-functional requirements (reliability, latency, throughput).
Build tooling & automation: Identify workflow gaps and develop internal tools or frameworks to automate testing, deployment, monitoring, and remediation.
Monitor & optimize: Analyze system metrics, troubleshoot production incidents, and recommend performance and reliability improvements.
Prototype & validate: Run targeted proof-of-concepts focused on operational excellencebenchmark solutions and recommend adoption plans.

We are seeking a visionary and hands-on QA Lead to establish and lead our new, centralized Engineering Quality function.

Your mission is to act as the centralized muscle that researches, defines, implements, and promotes engineering excellence across the company. You will own the quality strategy and enable its adoption through tooling, guidance, and hands-on support, transforming high standards into a company-wide reality.

This is a high-impact role for a leader who is passionate about building robust systems and fostering a culture of excellence.

What Youll Do: Scope & Responsibilities:

As the Engineering Quality Lead, you will be empowered to not only define our quality standards but also to enforce them and implement the solutions needed to achieve them.

Strategy & Vision: Own the company-wide engineering quality strategy. Define, measure, and report on key quality benchmarks and success metrics (KPIs) such as test coverage, Continuous Integration (CI) health, and performance signals.
Tooling & Standards: Research, evaluate, and standardize the tools and best practices for the entire software development lifecycle (SDLC). This includes static code analysis, linters, test coverage, logging, telemetry, instrumentation, and performance tracking.
Drive Adoption & Enablement: Lead the charge in driving the adoption of new standards. You will achieve this through a combination of clear guidance, enablement sessions, and hands-on development alongside product line engineers.
Cultural Leadership & The Quality Guild: Establish and lead the Quality Guild, a cross-company community of engineers passionate about quality. You will identify and mentor these Ambassadors to act as local champions, scale your influence, and create a bottom-up movement of engineering excellence.
Data-Driven Improvement: Continuously report on quality signals to leadership and recommend strategic investments based on measurable gaps and improvement trends.

We are looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
Design, build, and enhance the core integrations and tools that our customers use to send observability data to the platform.
Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
Thrive in a fast-paced startup environment, and value taking ownership of your work.
Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
Care deeply about crafting elegant, user-friendly solutions for complex problems.
Enjoy building the kind of developer tools you would want to use yourself.
Believe in modern software development that values rapid iteration and continuous delivery.
Passionate about the open-source community and excited about contributing to a fully open-source integrations.
Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
Like using modern AI tools to boost your productivity and write better code.

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

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.

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