דרושים » ניהול ביניים » Senior Backend Engineer

We are looking for an experienced, hands-on Senior Backend Engineer to join the Runtime team - one of the most critical backend teams .
We are at a breakthrough stage, building our dream team with the most passionate and professional people in the industry.
The Runtime team owns the execution layer of all automations - the core of our product. We operate at a significant scale: hundreds of millions of steps and millions of security events every single day, in systems that simply cannot break. This creates constant challenges around scale, reliability, and forward-thinking design - always asking what could break next and how to prevent it before it happens. Beyond maintenance, there's a lot of innovation here, including supporting all of our AI-powered capabilities.
What Will You Do?
Take part in all development aspects - from design to production - of our high-scale automation runtime
Lead the design and implementation of features and architectural changes that keep our platform reliable at massive scale
Drive significant cross-team projects and influence decisions beyond your immediate team
Lead production incidents and post-mortems, raising the bar for stability and operational excellence
Mentor team members, take part in interviews, and help grow the team and its standards
Work with modern AI tools (Cursor, Claude Code) as a core part of the workflow - focusing more on design, review, and impact, while maintaining deep understanding and high-quality standards through hands-on code review

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.

What youll do:

High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.

End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.

Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.

Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.

AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.

Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.

Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities - from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization.

You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability.

What You'll Be Doing

Design, build, and maintain production-grade backend services, APIs, and microservices.
Develop background workers, event-driven systems, and async processing pipelines.
Define and enforce backend architecture patterns - API design standards, service boundaries, data modeling, and error handling.
Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.).
Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality.
Contribute to the design and development of corporate AI-agent tooling - building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools.
Work closely with large language models (LLMs) - including prompt engineering, API integration, and building reliable pipelines around model inference.
Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations.
Design and manage CI/CD pipeline templates shared across engineering teams - covering build, test, security scanning, and deployment stages.
Develop internal developer platform tooling that improves self-service capabilities and deployment velocity.
Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

our company has immediate opportunities for software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at our company encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality.
We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive.
Your Impact:
As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.

What You'll Do
As a Senior Backend Engineer on our Core Platform team, you will:

Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability

Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads

Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence

Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards

Mentor junior engineers through code reviews, pair programming, and technical guidance

Drive technical initiatives that improve developer productivity, system observability, and platform resilience

Contribute to architectural decisions and establish best practices for backend development across the organization

Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

Were looking for a Senior Backend Developer to help build and scale the core systems powering our products end-to-end. In this role, youll take ownership of backend services, design and develop robust, scalable architectures, and work closely with product and engineering teams to solve meaningful challenges that directly impact our customers and partners.

Youll work with modern technologies including Node.js, Nest.js, TypeScript, PostgreSQL, and AWS, in a fast-moving environment that values strong engineering fundamentals, a product-driven mindset, and a passion for solving complex problems at scale.

Responsibilities
Design, develop, and deploy scalable, high-performance backend services that support our web and mobile applications.
Own backend features end-to-end: from technical design and implementation to production deployment and ongoing improvements.
Write clean, maintainable, and well-documented TypeScript code, following best practices, design patterns, and high testing standards.
Build and optimize PostgreSQL schemas, queries, and data flows to ensure reliability and performance at scale.
Participate in architecture discussions and help drive technical decisions that improve velocity, stability, and extensibility.
Perform code reviews, troubleshoot production issues, and proactively improve system observability, reliability, and performance.
Collaborate closely with Product, FE, QA, and other stakeholders to understand requirements and translate them into clear technical plans and execution.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff SW Engineer on the Customer Lifecycle Management team, you will be tasked with joining our dedicated platform team committed to providing essential services that support the success of other developer teams. Your primary customers will be fellow our company developers who rely on our department's key services, including identity and user management, metering, and license management; in this role, you'll play a crucial role in ensuring the smooth functioning of these critical components and empower our users to achieve their goals.
We are seeking a seasoned colleague with the ability to lead epics, features, and inspire others, while participating extensively in the architecture of the new solutions we're building to elevate the entire journey of our customers-creating new features and scalable systems, rebuilding existing ones from scratch, and providing comprehensive, robust APIs that help both S1 and our customers/partners manage customer-centric interactions within our flagship SaaS platform.
Join our international team of 9 (with colleagues across Brno, Prague, Slovakia, and Israel) and become an integral part of a friendly, collaborative, pragmatic, professional, and diverse group of individuals who are ready to tackle major SW engineering challenges!
Your stack: Java (v21), Spring framework family (Boot, Web, Web-Flux, Cloud), Gradle, Jooq; Kafka, PostgreSQL, ClickHouse, Redis, Docker, Helm, Kubernetes, Terraform, AWS/GCP across multiple cloudregions, GitHub Actions, ArgoCD, Prometheus, Grafana. To enable you in your work, we provide company access Claude Code
What will you do?
Primary responsibilities include:
Collaborate across teams - to shape and define system requirements, ensuring alignment with overall business goals.
Design and drive projects - lead execution of high-priority, high-visibility platform projects, ensuring timely delivery and exceptional quality.
Own feature development - take full ownership of the feature development lifecycle, from refining requirements through to successful production deployment, ensuring seamless integration and functionality.
Build and maintain secure and scalable backend - infrastructure that serves as the backbone for other development teams, supporting their needs and enhancing overall system performance.
Ensure efficiency and performance - develop solutions that guarantee reliability, scalability, and optimal performance, leveraging best practices and modern technologies.
Conduct code reviews - provide constructive feedback, fostering a culture of continuous improvement and high-quality code standards.
Troubleshoot complex issues - quickly identify, diagnose, and resolve, minimize downtime and ensuring smooth operations; be part of rotating on-call duty to respond/troubleshoot to the outage incidents.

We're building our company's Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the company ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the company platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.