Lead the Signal Processing team to develop high-performance microservices for real-time fraud detection and authentication.
Design and optimize machine learning pipelines integrated with AWS cloud infrastructure.
Mentor and guide junior engineers while driving architectural improvements for fault-tolerant systems.
Entersekt is a leader in digital banking fraud prevention and payment security, offering secure authentication and digital payments. Founded over 16 years ago with 210 million active users, the company fosters an innovative and collaborative culture.
Design, build, and maintain scalable backend systems, APIs, and distributed services supporting growth initiatives.
Own complex projects from design to deployment, ensuring high quality, scalability, and operational excellence.
Collaborate with product, data, and engineering teams to translate business goals into robust technical solutions.
Our partner is a technology company that builds a backend platform powering user acquisition, engagement, and lifecycle growth. They foster a remote-first culture and prioritize engineering excellence, collaboration, and ownership.
Lead the design, development, and continuous improvement of scalable backend systems using Java and Spring Boot on AWS.
Implement comprehensive automated testing strategies and ensure high code quality through peer reviews and clean architecture.
Collaborate in agile cross-functional teams to deliver robust, cloud-native solutions with a focus on DevOps and CI/CD.
Jobgether uses an AI-powered matching process to connect candidates with job opportunities, focusing on objective and fair reviews. It is a platform that partners with hiring companies, handling initial screening while building an inclusive and collaborative work environment with global exposure.
Lead the design and implementation of production-grade cloud and AI/ML solutions on AWS, ensuring scalability, security, and cost efficiency.
Act as a trusted technical advisor for customers, optimizing reliability, performance, security, and FinOps outcomes.
Deliver structured engagements such as architecture reviews, cloud optimization assessments, and GenAI workshops.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share shortlists with employers, operating with a global, distributed team.
Design and deliver secure, scalable software solutions using Go within a cloud-native architecture.
Build platform capabilities for API security, cryptographic controls, AI governance, and supply chain security.
Collaborate with engineering, platform, and security teams to enhance production system security and resilience.
Jobgether is a platform that uses AI-powered matching to connect candidates with roles. They partner with companies to manage applications and next steps, fostering an inclusive and diverse working environment.
Design and scale highly reliable platform systems supporting complex cloud-native workloads across multiple deployment environments.
Build and enhance core platform services while contributing to distributed systems, event-driven architectures, and cloud-native infrastructure.
Optimize cloud resources, networking, storage, compute, and observability to improve system performance, scalability, reliability, and maintainability.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They operate as a job platform, processing applications and sharing top candidates with employers.
Design and deliver scalable SaaS applications using .NET, Angular, SQL Server/PostgreSQL, and AWS, owning end-to-end delivery.
Define modern architectural patterns (DDD, CQRS, Event-Driven Architecture) and mentor engineers through code reviews and technical guidance.
Leverage AI-assisted development tools to accelerate engineering workflows and promote engineering excellence through automation and CI/CD.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies by analyzing applications against core requirements. The company focuses on efficiency and fairness in recruitment, supporting remote-first work and providing full back-office support.
Lead a distributed engineering team to deliver reliable, secure, and scalable cloud infrastructure solutions.
Drive the design, development, and delivery of cloud image pipelines and infrastructure automation using Python and Golang.
Mentor engineers, perform code reviews, and champion agile practices and engineering best practices.
The company develops and manages public cloud infrastructure solutions, focusing on reliable, secure, and scalable cloud-native software and automation. It operates with a distributed, remote-first engineering team that fosters collaboration and technical excellence.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Design, develop, and maintain RESTful APIs and microservices using Python and cloud technologies on AWS.
Integrate third-party solutions like Pindrop and support contact center transformation initiatives including Amazon Connect.
Implement CI/CD pipelines, set up monitoring and observability, and contribute to infrastructure automation using CloudFormation and Terraform.
Miratech is a global IT services and consulting company that helps visionaries change the world by supporting digital transformation for large enterprises and startups. The company retains nearly 1,000 full-time professionals, operates in 25 countries, and has a culture of Relentless Performance with a 99% project success rate since 1989.