Senior Backend Engineer - Scalable Systems & Ai Tools
Capgemini
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Job summary
Prometeo Talent is partnering with a fast-growing US-based cybersecurity startup to hire a Senior Backend Engineer. You will design, build, and maintain scalable backend services using Java and Python, driving distributed data pipelines and secure APIs in a remote LATAM environment.
You will own features end-to-end, collaborate with product teams, and apply AI-assisted development workflows to boost delivery while maintaining high reliability and performance.
Qualifications
- 8+ years of backend or software engineering experience.
- 5+ years with Python and production-grade systems.
- Strong Java expertise and distributed systems knowledge.
- Experience with AI/LLM-based development in production.
- Hands-on with Docker and Kubernetes.
- English proficiency.
Responsibilities
- Design, build, and maintain scalable backend services with Java and Python.
- Develop distributed systems with APIs, queues, and data pipelines.
- Own features through design, implementation, and deployment.
- Collaborate with product and engineering teams to translate requirements.
- Improve performance, scalability, and reliability.
- Leverage AI-assisted development tools to accelerate delivery.
- Participate in architectural discussions and decisions.
- Improve development processes and standards.
Skills
Tools
Job description
- Experience in Serverless Solutions and Azure Integration Deep experience building solutions with Serverless and Azure Integration , including Functions and Logic Apps for event-driven systems.
- Azure Functions Hands-on expertise in developing serverless computing solutions. Working with triggers (HTTP, Timer, Queue, Event Grid). Utilizing bindings , function apps , scaling strategies, and local development using Azure Functions Core Tools .
- Azure Logic Apps Extensive experience with iPaaS (Integration Platform as a Service). Building workflows via the visual designer . Leveraging pre-built connectors and integrating diverse applications and data sources. Managing JSON schema definitions for triggers and configuring retry policies .
- Connecting Serverless Components Strong ability to connect serverless components using Azure Service Bus (for message queuing) and Event Grid (for event routing), building resilient and decoupled architectures.
- Azure API Management Designing, publishing, and securing APIs, especially those backed by serverless backend services.
Identifies opportunities for others to replace or upgrade server components. Validates cabling, checking network environment build and connectivity is established. Monitors and assigns work in ticketing environment, mentoring less experienced technicians or implementing technical solutions. Trains advance fix and repair techniques that align with corporate objectives and adheres to standard operating procedures (SOPs) and method of procedures (MOPs) for operational Data Center Change Control processes. Acts as a technical liaison for technical and non-technical teams, providing subject matter expertise to identify and resolve resiliency, reliability, and availability risks.
- -Identifies opportunities for other team members to work with of servers and server components and main hardware to ensure efficient performance for its entire lifecycle.
- -Guides and coaches less experienced technicians on best practices for the power distribution units and/or replacement hardware, removing and troubleshooting hardware without disturbing critical infrastructure, as needed.
- -Guides and instructs less experienced technicians on best practices for implementing -designed and defined network communications and solutions, signing off on client configurations within environments.
- -Validates cabling, checking network environment build and connectivity is established, verifying that devices are connected and error free.
- -Monitors and assigns work in ticketing environment, mentoring less experienced technicians or implementing technical solutions to enhance and/or troubleshoot the system within Service Level Agreements (SLAs) against assigned ticket, potentially identifying and escalating trends, and documenting steps or resolutions involved in maintaining the environments.
- -Oversees adherence to all established Standard Operating Procedures (SOPs)/Maintenance Operation Protocols (MOPs) when performing tasks, ensuring all work stays in sync with site rules, colocation vendor rules, and signs-off within a data center and/or customer site environments.
- -Upholds and ensures established security procedures, considering applicable local regulations, conducting functional testing of security.
- -Ensures compliance with health and safety guidelines (including personal protection equipment, site access, or specific data site compliance) during on-site work at customer locations and at office, with limited supervision.
- -Trains advance fix and repair techniques that align with corporate objectives and adheres to SOPs and MOPs for operational Data Center Change Control processes.
- -Identifies repeating problems or trends, escalating issues to senior peers and/or external experts, operations team, and engaging global team about local issues.
- -Analyzes issues for repeating problems or trends, escalating identified issues to external experts and operations team, and engaging global team about local issues.
- -Leads collaboration efforts with project teams/colocation partners to properly test and validate the installation, operation, and performance of electrical/mechanical systems and coordinate site utility requirements.
- -Acts as a technical liaison for technical and non-technical teams, providing subject matter expertise to identify and resolve resiliency, reliability, and availability risks.
- -Ensures contractors and vendors deliver quality services and that all SLAs are being met.
- -Contributes to quality assurance through process creation and training of less experienced peers.
- -Completes complex and/or ambiguous tasks in accordance with project requirements, with limited instructions. Provides guidance to team members on shifting priorities and resources according to team needs.
- -Collaborates across teams to lead the delivery of impactful work and provide support for critical team objectives. Leverages advanced understanding of business, stakeholder, and/or customer needs to build partnerships within and outside of team.
- -Develops and shares procedures to identify and resolve routine or non-routine issues, serving as an escalation point for the team. Collects and reviews data and/or information to troubleshoot complex errors.
- -Embraces continuous learning by actively seeking to build knowledge and learning new skills and/or tools and staying current with trends and best practices in one's field. Seeks out and leverages feedback and advanced training to improve skills.
- -Recommends, implements, and shares improvements to improve the efficiency and effectiveness of complex processes, protocols, and workflows.
Career Level - OP4
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At Prometeo Talent, we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe, we’re proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing US-based cybersecurity startup. The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.
This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset. You will play a key role in designing, building, and maintaining distributed systems while collaborating with a highly technical and fast-moving team.
The ideal candidate has extensive experience with Java and Python, enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.
- Design, build, and maintain scalable backend services using Java and Python.
- Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
- Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.
- Build production-ready systems with a strong focus on reliability, performance, and maintainability.
- Collaborate closely with product and engineering teams to translate business requirements into technical solutions.
- Improve system performance, scalability, and operational efficiency across the platform.
- Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.
- Participate in architectural discussions and contribute to key technical decisions as the company scales.
- Continuously improve development processes, tooling, and engineering standards.
- 8+ years of experience in software engineering or backend development.
- 5+ professional experience with Python, building and maintaining production-grade backend systems.
- Strong experience with Java.
- Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)
- Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.
- Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
- Experience working with databases, message queues, and data processing pipelines.
- Hands-on experience with Docker and Kubernetes in production environments.
- Proven experience building, maintaining, optimizing, and improving products after launch.
- Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments.
- Advanced English level
- Experience working in product-focused companies, owning products beyond the initial development phase.
- Experience in cybersecurity products or security-focused platforms.
- Experience with Kafka, RabbitMQ, or similar messaging systems.
- Experience building large-scale distributed data processing systems.
- Background in high-growth startups or scale-ups.
- Previous experience in large technology companies
100% remote work with flexibility to work from LATAM.
Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.
Be part of an engineering culture that embraces modern AI-assisted development workflows.
Company-provided laptop and equipment.
Generous PTO and regional holidays.
High ownership, autonomy, and direct influence on technical decisions.
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