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Required Senior Software Engineer
About the role:
As a Senior Software Engineer on the Data Platform, youll be part of one of our 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 our 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 end from design and planning to implementation and deployment, while 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.

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software Engineers, Data Scientists and more, to help us make more from our data.

Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. our company discovers and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.

Responsibilities:
Take part in our features development process - building warehouse models and writing our data catalog.
Leading long term research to provide innovative insights for our product.
Define and implement data processing and operative workflows.
Work with relevant stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Contribute to a culture of learning and knowledge-sharing within the team.

What will you actually be doing?
Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python.
Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality.
Leading server-side development using microservices architecture to ensure scalable and robust application performance.
Driving the design and implementation of micro frontend architecture, leveraging the industrys latest trends.
Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications.
Making architectural decisions and championing engineering best practices across the team.
Integrating AI and LLM capabilities into development pipelines and product features where applicable.

Required Senior Software Engineer - CWPP Team
About the role:
As a Senior Software Engineer on the CWPP (Cloud Workload Protection Platform) team, youll be part of a core group responsible for protecting our customers cloud workloads at scale. Our team scans and analyzes a wide variety of cloud assets - from virtual machines and container images to object storage buckets and databases, to uncover vulnerabilities, secrets, misconfigurations, and other security risks.
This role offers a unique opportunity to build the infrastructure that powers our deep forensics engine. Youll help reconstruct customer file systems across multiple operating systems, extract OS-level and application-level metadata, and enable our security researchers to detect threats and vulnerabilities quickly and reliably. Your work will directly impact the safety and security of thousands of cloud environments worldwide.
Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security, and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure
On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end - from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals.

APIs are a foundational element of innovation in todays app-driven world. From banks, travel, entertainment, retail, and transportation to IoT, autonomous vehicles, and smart cities, every web and mobile app depends on APIs. Without secure APIs, rapid innovation would be impossible. our company is the only patented solution to identify and prevent the top threat of API attacks using big data and AI.

At Salt, were passionate about what we do. We work as a team and embrace new ideas, wherever they come from. We also enjoy all the benefits of a startup environment.

Feel youre up for the challenge? We encourage you to apply!

About the position:
Salt is looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

Were looking for an experienced Team Leader eager to make a foundational impact on our next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.
What Youll Do:
Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance
Own and drive the delivery of high-impact projects end-to-end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems focused on data ingestion, normalization, and availability
Collaborate cross-functionally with Product, SRE, and other R&D teams to define priorities, interfaces, and success metrics
Ensure the reliability, scalability, and observability of core services, introducing SLOs and best practices for operations
Participate in incident management, postmortems, and continuous improvement initiatives
Foster a culture of technical excellence and accountability within the team
Write and review clean, maintainable, and tested, take part of the on-call rotation.

Required Head of Research
About the role:
As the Head of Research, you will lead our threat-research, security-innovation, and vulnerability-discovery efforts. You will define the strategy for how we uncover threats, identify novel attack vectors, influence product direction, and contribute thought leadership to the cybersecurity community. You will manage and grow a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful. This role emphasizes strong people leadership and cross-functional execution, alongside technical depth and hands-on research judgment.
What youll do:
Develop, own and evolve the research strategy by defining high value focus areas (for example misconfigurations, identity threats, workload vulnerabilities, and emerging attack techniques), and ensure alignment with our product roadmap and business objectives.
Lead, coach, and mentor a multidisciplinary research team (researchers, threat analysts, and engineers).
Build a healthy, high-performing org, including hiring, onboarding, and performance management.
Partner closely with product and engineering leadership to turn research insights into concrete roadmap items, detection logic, and customer value.
Drive discovery of new vulnerabilities, attack techniques, or adversary behaviors across cloud and modern infrastructure environments (for example containers, serverless, data stores, IAM).
Define metrics for research impact (for example vulnerabilities discovered, time to validate and operationalize new findings, research-driven product improvements, external reach).
Establish and maintain external partnerships (industry peers, academic groups, independent researchers) to expand our capabilities and pipeline.
Publish and present research findings (blog posts, white papers, conference talks).
Lead vulnerability disclosure and responsible communications.
Ensure the research function has the right infrastructure and processes (tooling, sandboxes, repeatable experimentation, documentation standards).
Stay current with the threat landscape, emerging technologies, attacker tradecraft, and relevant compliance or regulatory shifts.