Role requires end-to-end ownership of the backend platform: client-facing API schemas, servers, and database infrastructure in AWS. Work involves enhancing PHP/Laravel APIs (built from OpenAPI specs), maintaining internal Python services (including AWS Lambda microservices), integrating AI-powered solutions and agent workflows, and operating production AWS infrastructure using Terraform and services such as ECS, Lambda, API Gateway, SQS, Parameter Store, CloudWatch, and IAM. Requires 5+ years of backend experience and hands-on experience with AI coding agents.

Seeking a Senior Back-end Engineer with 5+ years experience to take end-to-end ownership of a backend platform: develop PHP/Laravel APIs (OpenAPI-based), maintain internal Python services (including AWS Lambda), integrate AI coding agents/LLMs into products, and manage production AWS infrastructure (ECS, Lambda, API Gateway, SQS, Parameter Store, CloudWatch, IAM) with Terraform. Experience with containerized production services, event-driven architectures, MySQL, Redis, and CI/CD is required.

Contract Support Engineer working within the Platform organization to resolve technical tickets from CX, run customer onboarding/offboarding, perform data migrations, validate infrastructure changes (AWS: RDS, S3, EC2, ECS), and maintain documentation and runbooks. Requires strong English communication, Git/GitHub proficiency, support-ticket experience (Jira/Intercom/Front), and a background check for production access.

The role leads design, implementation, and operation of cloud infrastructure (primarily GCP) using Terraform and IaC, manages Kubernetes/GKE environments, builds CI/CD pipelines with GitHub Actions and Jenkins, and improves observability and incident response. The position supports hybrid environments (Windows Server, Oracle, SQL Server, legacy AWS) and data platforms (Snowflake, dbt, Dagster, BigQuery), advances IAM (Workload Identity, OIDC), detects/resolves infrastructure drift, and mentors engineers. Requires 6+ years of experience and advanced English. Offered as 100% remote with pay in USD.

Seeking a Lead DevOps/Cloud Engineer focused on Google Cloud Platform and Terraform to manage Kubernetes (GKE), CI/CD (GitHub Actions, Jenkins), observability, and hybrid infrastructure (Windows/Oracle/AWS). The role partners with Data and Software Engineering teams to support analytics platforms (Snowflake, dbt, Dagster, BigQuery), improve IAM and automation, detect and resolve infrastructure drift, and mentor engineers.

Seeking a DevOps Lead to design, implement, and maintain Google Cloud Platform infrastructure using Terraform and Kubernetes (GKE); build and operate CI/CD pipelines with GitHub Actions and Jenkins; support hybrid environments (Windows Server, Oracle, SQL Server, legacy AWS); collaborate with Data and Software Engineering on platforms using Snowflake, dbt, Dagster, and BigQuery; improve IAM and automation, and mentor engineers. Requires 6+ years of relevant experience and advanced English.

Seeking a DevOps Lead to manage and modernize cloud and hybrid infrastructure centered on Google Cloud Platform using Terraform, Kubernetes (GKE), and CI/CD (GitHub Actions, Jenkins). The role involves supporting data platforms (Snowflake, dbt, Dagster, BigQuery), improving IAM (Workload Identity, OIDC), ensuring observability and drift detection, and mentoring engineers to drive reliability, security, and automation.

Seeking a Lead DevOps/Cloud Engineer focused on Google Cloud Platform, Infrastructure as Code (Terraform), Kubernetes (GKE), and CI/CD (GitHub Actions, Jenkins). Role includes supporting hybrid legacy systems (Windows Server, Oracle, SQL Server, AWS), collaborating with Data Engineering on Snowflake/dbt/Dagster/BigQuery, improving IAM and automation, and mentoring engineers. Requires 6+ years experience. Position is 100% remote and targeted to Latin America candidates.

Remote Semi-Senior DevOps Engineer role supporting a North American SaaS platform. Responsibilities include designing and maintaining scalable AWS infrastructure (ECS, Lambda, S3, RDS, VPC), IaC with Terraform/CloudFormation, CI/CD pipeline development, observability (Prometheus/Grafana/Datadog), and incident troubleshooting. Role requires 2–4 years of relevant experience, advanced English, and participation in a 10-week on-call rotation (2 weeks on-call).

The role focuses on designing, implementing, and maintaining scalable, secure AWS infrastructure using Infrastructure as Code (Terraform/CloudFormation), building CI/CD pipelines, supporting serverless architectures, and monitoring production with tools like Prometheus/Grafana/Datadog. Requires 2+ years of relevant experience, advanced English, and participation in on-call rotations. Position is fully remote and associated with Truelogic supporting a U.S.-based SaaS client.

Truelogic seeks a Semi-Senior DevOps Engineer to design, implement, and maintain scalable, secure AWS infrastructure for a North American SaaS client. Responsibilities include Infrastructure as Code (Terraform/CloudFormation), CI/CD automation, monitoring (Prometheus/Grafana/Datadog), serverless support, incident troubleshooting, and cost/ performance optimization. Role requires 2+ years' experience, advanced English, and participation in on-call rotations.

Truelogic seeks a Semi-Senior DevOps Engineer to design, implement, and maintain scalable, secure AWS infrastructure for a North American SaaS client. Responsibilities include Infrastructure as Code (Terraform/CloudFormation), CI/CD pipeline automation, observability (Prometheus/Grafana/Datadog), serverless support, incident troubleshooting and root cause analysis, and cloud security best practices. Role is 100% remote, requires advanced English, 2–4 years of relevant experience, and a 2-week on-call duty every 10 weeks. Compensation is offered in USD.

Truelogic seeks a Semi-Senior DevOps Engineer to support a North American SaaS client. Responsibilities include designing and maintaining scalable AWS infrastructure (ECS, Lambda, S3, RDS, VPC, IAM), implementing Infrastructure as Code (Terraform/CloudFormation), building CI/CD pipelines, and operating monitoring/observability (Prometheus, Grafana, Datadog). Role requires 2–4 years relevant experience, advanced English, serverless experience, scripting (Python/Bash), and periodic on-call rotation; position is 100% remote for Latin America.

Lead the design, build, and operation of a rapidly scaling data platform for veterinary practice analytics, owning ingestion (including CDC), transformations (dbt), Snowflake warehousing, Airflow orchestration, Kubernetes/EKS deployments, infrastructure provisioning with Terraform, and observability with Datadog. Requires strong SQL and Python skills, experience with Snowflake, dbt, Airflow, Terraform, Kubernetes, and production CDC tools (e.g., Debezium).

Remote senior-level role to build and operate a production-grade data platform: design and maintain Airflow pipelines, manage Snowflake (schema design, performance, cost control), implement dbt transformations, run platform services on Kubernetes/EKS, provision infrastructure with Terraform, and implement observability with Datadog. Requires 5+ years in data engineering or combined data/infrastructure roles and hands-on experience with Snowflake, dbt, Airflow, SQL, Python, Terraform, Kubernetes, PostgreSQL and CDC tooling (e.g., Debezium).

Take technical ownership of a rapidly scaling data platform: design and maintain pipelines (Airflow), transformations (dbt), and the Snowflake data warehouse while operating platform infrastructure on Kubernetes (EKS) using Terraform. Requires 5+ years in data engineering or combined data/infrastructure roles with strong SQL and Python skills, hands-on experience with Snowflake, dbt, Airflow, Datadog, Debezium/CDC, and AWS data services. Position is fully remote and supports collaboration with analytics and product teams for data product delivery.

Remote Senior Data & Platform Engineer responsible for end-to-end ownership of a rapidly scaling data platform: building and maintaining Airflow pipelines, Snowflake warehouse, dbt transformations, Kubernetes (EKS) deployments, Terraform provisioning, CI/CD, observability with Datadog, and CDC using tools like Debezium. Requires 5+ years of data engineering experience and strong SQL, Python, Snowflake, dbt, Airflow, Terraform and Kubernetes skills.