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we are looking for a Full-Stack Team Lead.
What You'll Do:
Manage all aspects of software development - from planning new features, designing software solutions, testing, and quality management to release and maintenance
Contribute and participate in technical discussions and architectural decisions
Control project execution, including estimations, quality control, and timely delivery
Lead, grow, mentor, and manage a team of talented software engineers
Work in close collaboration with Product, Design, and other Development teams

In this role, you will be responsible for architecting and maintaining scalable, secure, and highly available environments across AWS and on-premises infrastructure. You will drive automation initiatives, improve CI/CD processes, enhance system reliability, and support engineering teams in delivering production-ready solutions. The ideal candidate is an AWS expert with deep Kubernetes experience, strong infrastructure automation skills, and a passion for operational excellence.

Responsibilities:

* Design, implement, and maintain scalable, secure, and highly available AWS and hybrid infrastructure
* Build, manage, and optimize Kubernetes platforms and containerized workloads
* Develop and maintain Infrastructure as Code (IaC) using Terraform
* Build and optimize CI/CD pipelines using GitHub Actions, Jenkins, and related technologies
* Drive automation initiatives to improve reliability, scalability, and operational efficiency
* Monitor, troubleshoot, and resolve production issues while implementing observability solutions
* Collaborate with development, security, and customer-facing teams to improve deployment and operational processes

Advantages:

* Experience with Microsoft Azure cloud services
* Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/OpenSearch, or Datadog
* Experience with configuration management tools such as Ansible
* Knowledge of security best practices, vulnerability management, and cloud security
* Experience working in regulated or security-focused environments

Were looking for an experienced, highly motivated Backend Team Lead to join our Ads group and lead a team of talented senior backend developers responsible for developing and maintaining a high-traffic, low latency microservices-based system.
Responsibilities
Lead, mentor, manage and inspire a diverse agile team of backend developers across different locations, alongside hands-on coding
Actively participate in the design, development, and maintenance of backend systems and applications while analyzing business requirements to create scalable, high-performing, and testable solutions
Collaborate closely with product managers, client developers, scrum masters, and other stakeholders to deliver high-quality solutions
Effectively manage and integrate the contributions of a full-stack web developer within the backend teams scope.

As we scale our portfolio of live automations, were looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. Youll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping our employees get the most out of AI tools - especially Claude Code. This is a hands-on, cross-functional position at the center of how we adopt and scale AI internally.
Responsibilities
Lead Automation Projects:
Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
Develop agent-like automations and internal copilots that augment decision-making and execution.
Own the full lifecycle - from ideation and process design through development, testing, and production launch.
Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
Build AI Systems & Integrations:
Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
Integrate across systems using REST APIs, webhooks, and external/internal tools.
Design reusable patterns for skills, agents, and workflows that can scale across teams.
Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
Maintain & Improve Live Systems:
Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
Ship incremental improvements and new capabilities quickly and safely.
Maintain clear documentation for workflows, agents, and system behavior.
Drive AI Adoption, Skills & Governance Across:
Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
Help teams build and scale AI skills - from basic usage to advanced workflows and agent design.
Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
Build and evolve an internal AI control tower - providing visibility into usage, performance, governance, and impact.
Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
Guide teams through MCP integrations, tool configurations, and best practices.
Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling - and proactively share relevant developments with the team.

Required Data Engineering Manager
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Required Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical machine learning and deep learning models that will impact company goals directly.
Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

If youre passionate about software development and enjoy building products with modern technologies, AI, and data-driven systems, wed love to meet you.

At our company, we help brands and enterprises maximize their Amazon business performance through intelligent pricing, advertising, and analytics solutions. As we expand our platform and product offerings, were looking for an experienced Backend Engineer to join our team and help shape the next generation of our products.
What Youll Do
Design, build, and maintain backend services primarily in Java.

Develop cloud-native microservices and event-driven applications.

Work closely with Product, Data Science, and Engineering teams.

Build data-intensive applications and real-time processing pipelines.

Integrate AI and LLM-powered capabilities into our products.

Take ownership of features from design through production.

We are looking for a strong Senior Software Developer to help build the algorithmic core of our platform. This role is ideal for a hands-on engineer with deep Python expertise, strong algorithmic thinking, and excitement about applying the latest AI, LLM, and agentic capabilities to real-world optimization problems.

You will work on systems that improve bidding, budget allocation, keyword strategy, audience optimization, and other core levers of marketplace and advertising performance.

What Youll Do

Design, build, and improve algorithms across bidding, budget allocation, keyword optimization, audience optimization, and related areas

Work closely with product, data, and engineering teams

Build systems that leverage the latest LLMs and agentic workflows as part of intelligent optimization and automation

Help shape the technical direction of the optimization engine and broader AI-driven platform

Contribute to architecture, code quality, testing, and deployment best practices for algorithmic Python systems

Hands-on navigation engineering for the interceptor system. You'll develop, implement, and validate navigation and estimation algorithms, working with real sensor data and taking algorithms from concept through Real-Time implementation. Reports to the GNC Lead, with deep ownership over the modules you build. This role is a fit for engineers with strong navigation, sensor-fusion, and state-estimation foundations, and the appetite to apply those skills to broader engineering problems beyond pure navigation.
Responsibilities:

* Develop and implement navigation algorithms for Real-Time systems.
* Work with sensors such as IMU, GNSS, radar, and other relevant sensors.
* Design estimation and sensor-fusion solutions.
* Analyse simulation and field data to improve algorithm performance.
* Support the full algorithm lifecycle, from requirements and simulation through implementation and testing.
* Apply estimation and data -fusion skills to domains beyond navigation when needed.
* Collaborate with software, Embedded, systems, and hardware teams.

Hands-on software engineering for our cutting-edge missile interceptor system. You'll develop and integrate components across the software stack, either on the Embedded / flight side (RTOS, low-latency sensor and comm code on the interceptor) or on the ground station / Command & Control side (distributed services for mission monitoring, threat evaluation, and visualization). You'll work under the Software Group Lead's architectural direction, with deep ownership of the modules you ship. We are looking for a "builder" mentality, someone who drives end-to-end delivery from concept to field deployment, and who treats AI coding tools as a force multiplier rather than a curiosity.
Why Join us?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities:
Build: Develop flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2; or build distributed microservices for the ground station, depending on which area fits your background. Integrate: Work alongside Hardware Engineering (mechanical, electrical, GNC), Systems Engineering, and Program Management to integrate the software with the rest of the missile and ground station. TEST : Participate in HIL/SIL testing phases, support field trials, and write the automation that keeps these tests fast and reliable. AI-assisted delivery: Use modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) heavily across your daily work to ship faster without compromising safety-critical standards. Collaborate: Contribute to design reviews and architectural decisions; raise issues and propose alternatives rather than waiting for direction.

As the Software Group Lead, you will be the primary architect and execution lead for a cutting-edge missile interceptor system. This is a high-stakes executive role requiring a rare blend of low-latency Embedded engineering and high-level Command & Control (C2) orchestration. You will be responsible for building a multi-disciplinary software team from the ground up, defining the software lifecycle, and ensuring the seamless integration of missile subassemblies with ground-based mission control. We are looking for a "builder" mentality, capable of switching between high-level architectural strategy and driving end-to-end delivery from concept to field deployment.
Why Join us?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase! The SW Group Lead will report directly to the CTO and act as a member of the company's leadership.
Responsibilities:
Team Leadership: Recruit, mentor, and manage a high-performance team of Embedded, Full-Stack, and GNC (Guidance, Navigation, and Control) engineers. system Architecture: Design the end-to-end software stack, from Real-Time operating systems (RTOS) on the interceptor to the distributed microservices of the ground station. Execution & Integration: Oversee the development of flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2. AI-Driven SDLC: Implement and champion the use of modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) across the entire software lifecycle to accelerate development cycles without compromising safety-critical standards. Strategic Oversight: Align software milestones with hardware integration, testing phases (HIL/SIL), and field trials. Key Interfaces: Works closely with Hardware Engineering leads (mechanical, electrical, GNC), Program Management, and Systems Engineering teams internally; externally interfaces with defense customers, government program offices, and key technology vendors.

We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.
This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.
In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.
If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

We are looking for a Senior Software Engineer to join a high-performing team of engineers shaping the future of cloud security.
This is a unique opportunity to work on a next-generation SaaS platform, tackling complex engineering challenges in distributed systems, scalability, and performance, while collaborating with top engineers, researchers, and product leaders.
If you are passionate about building systems from the ground up, love working with cloud-native technologies, and want to make a real impact - this role is for you.
What You Will Own:
Design and build core backend systems and infrastructure powering SaaS platform
Develop scalable, multi-tenant microservices in a cloud-native environment
Take full end-to-end ownership - from design and development to production and monitoring
Collaborate with Engineering, Product, and Security Research teams to solve complex cybersecurity challenges
Build and optimize distributed, event-driven systems at scale
Work in a modern CI/CD environment with cutting-edge technologies
Lead and execute PoCs and technology evaluations
Partner with customers and internal stakeholders to deliver impactful solutions
Continuously improve performance, scalability, and reliability

we are looking for a Senior Software Engineer (Runtime).
As a backend developer on our server team, you'll work across the full software development lifecycle:
Build new features and enhancements for our distributed runtime protection system
Maintain and improve existing functionality in a mature product serving 500+ customers (including some of the world's largest companies)
Investigate and resolve production bugs and performance issues
Own features end-to-end: design, implementation, testing
Collaborate with product managers, architects, and peer engineering teams (some internationally)
Work in our Feature Buddy model - you'll typically pair with another engineer so knowledge is shared
Our stack: Golang, Postgres, Docker, Kubernetes, AWS (REST/gRPC). We support both SaaS and self-deployed on-prem environments.