About Tala

Tala is the AI-native credit infrastructure that connects global capital to the general majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC's World's Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes' Fintech 50 list for ten years running.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we'd love to hear from you!

The Role
We are currently seeking a Sr SecOps Engineer to design, implement and maintain suitable infrastructure and application security solutions on AWS public cloud environments using DevSecOps mindset. You will bring world class cloud-native security expertise to implement solutions for security configuration hardening, vulnerability management, detection, protection and monitoring of security threats and intrusions, in an automated fashion.
What You'll Do





Driving the design and implementation of defense-in-depth infrastructure and application security solutions for our customer facing SaaS platform in AWS public cloud environments

Driving architecture, implementation, configuration and automation of native and third party cloud security solutions for hardening, detection, prevention, logging and response solutions for security vulnerabilities and threats

Provide thought leadership with a security bent of mind to the organization

Working closely with Product, Engineering and IT in a DevSecOps model on technologies like FWs, ACLs, WAFs, IAM roles and permissions, Vulnerability management and hardening, Threat and Intrusion detection, Kubernetes Container Security solutions, Pen Test and endpoint security

Assisting in incident response and triaging activities as needed for security incidents and events

Using AI in security operations to streamline and optimize the security incident management, resolution.
What You'll Need

5-7 years of previous experience deploying and administering security infrastructure in AWS public cloud environments, using Infrastructure as Code required

In-depth hands-on experience with at least one public Cloud platform (AWS or GCP) with advanced knowledge of securing IaaS platforms and services like WAFs, Security Groups, EC2/Compute, EKS/GKE, ECR/GCR, S3/Cloud Storage, RDS/Cloud SQL, Logging and Monitoring





Prior experience working closely with Product, DevOps and CloudOps' Site Reliability Engineers on shift-left strategies, CI/CD tools and solutions needed

Experience working on DLP and endpoint security product is a big plus

Security experience in a cloud native environment in one or more areas: authentication, access management, API security, Linux security, vulnerability scanning, threat and intrusion detection, firewalls, WAF, encryption technologies, container security etc.

Experience using a programming language such as Python for automation (would be a plus)

Security certifications from AWS, GCP , CISSP, CEH, OSCP preferred
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we're proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior Secops Engineer (México)
🏢 Tala
📍 México