Hiring a Senior SRE with experience designing and engineering on AWS, automating infrastructure and configuration (Terraform, IaC), and working with monitoring/observability tools (Datadog, Prometheus). The role involves collaborating with stakeholders, mentoring junior engineers, and using cloud-native services and automation at scale.

Senior Product Security Engineer based in Brazil (CLT). Responsibilities include integrating and operating SAST, DAST, SCA, CNAPP and WAF tooling in CI/CD pipelines; building and maintaining security automation and agentic/LLM-assisted tooling; conducting vulnerability identification, triage, remediation and retesting; securing cloud-native applications (Docker, Kubernetes, public cloud); and partnering with engineering teams to embed security across the SDLC. Role expects 4+ years across security domains and hands-on experience with languages such as Python, .NET, or TypeScript.

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.

Own and evolve CI systems that run ML workloads across GPUs and accelerators, improve reliability and reproducibility, apply automation and AI/agent-based workflows to reduce manual operations, and provide a self-service CI platform while partnering with compiler, infrastructure, and release teams. Requires 5+ years' experience and strong Python and CI/platform engineering skills.

Remote (US) role owning reliability, performance, and long-term architecture of Medium’s data platform—covering ingestion, transformation, orchestration, and observability. Requires 4+ years across data engineering/backend/DevOps/SRE, strong Python skills, and experience with tools such as Snowflake, dbt, Spark, AWS, and Kubernetes. Includes contribution to platform roadmap, migrations, and mentoring. Salary range listed: $165,000–$205,000 USD per year.

Remote (EMEA-focused) Senior SRE role working autonomously on platform architecture, reliability strategy (SLOs/SLIs, error budgets), observability (OpenTelemetry, Grafana/Prometheus), cloud infrastructure (AWS), IaC with Terraform, CI/CD and deployment automation. The role expects hands-on Kubernetes and container experience, proficiency with Go and scripting, practical use of AI/agentic workflows in infra/ops, participation in incident response and mentoring of junior engineers. Full-time position with an annual salary range of $53,300–$119,850 USD.

CrowdStrike seeks an Engineer II for a FinOps Data Analytics practice to implement cloud cost monitoring, automation, cost allocation/tagging, dashboards, and integrations across cloud platforms. Requires 3+ years software engineering experience, proficiency in Python/Go, experience with at least one major cloud provider (AWS/Azure/GCP), familiarity with Git, containerization, and monitoring/observability; U.S. citizenship or permanent resident status required for CJIS eligibility.

Stitch Fix is hiring an ML Platform Engineer to design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering, candidate generation, AI agent deployment, and observability. The role expects 3+ years of software development experience with a focus on data, ML, or AI infrastructure and proficiency with tools such as Python, Golang, Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph/LangSmith, and AWS. The position is remote for US-based employees and lists a US salary range of $136,000–$167,000.

Operate, monitor, and maintain multi-cloud Kubernetes infrastructure for Astronomer's managed Airflow (Astro) service. Responsibilities include incident response, on-call rotation, building monitoring/alerting and automation, troubleshooting customer environments, and improving observability and product reliability. Requires 5 years of experience (including 3 years with Kubernetes), strong Linux and cloud provider experience (AWS/GCP/Azure), Python and DevOps/CI/CD skills. Estimated total compensation $125,000–$130,000.

Join the Authentication team to design, build, deploy, and operate high-performance, secure authentication services and APIs (Go/Python) on AWS and GCP. Responsibilities include developing cloud-native services (S3, DynamoDB, Kinesis, IAM), building data pipelines for ML/risk models, owning CI/CD and IaC workflows, leveraging observability tooling, participating in on-call rotation, and collaborating with Research, MLOps, product, and other engineering teams to productionize ML-driven signals for fraud prevention and identity verification.

Bitso is hiring a Platform Engineer (Site Reliability focus) to own end-to-end incident management (on-call, declaring incidents, driving resolution), run and automate postmortem workflows, extend observability and alerting, and build AI-assisted incident response tooling. The role requires hands-on Kubernetes and CI/CD experience, software development ability (reading/writing code; Python/Java a plus), strong automation mindset, and experience working under pressure communicating with stakeholders.

Contract Senior DevOps Engineer responsible for HashiCorp Vault administration (secrets, PKI, dynamic credentials, policies), building cloud architecture on AWS/Azure, managing Linux/UNIX systems, and creating automated CI/CD pipelines. Requires 5+ years experience with Vault, cloud migrations, scripting (Python/Ansible), and leading small technical teams.

Join Astronomer's Platform Engineering team to design, build, test and deploy production PaaS infrastructure that supports Astro and other products. Responsibilities include owning CI/CD and deployment workflows, contributing to production system design and standards, participating in incident management and on-call rotation, and maintaining internal documentation. Role emphasizes Python, Go, Kubernetes, observability (SLI/SLO), cloud provider experience (AWS/GCP/Azure) and reliability practices. Estimated compensation range provided: £85,000–£125,000.

Responsible for configuring and customizing ServiceNow modules (Incident, Change, Service Catalog), building catalog items and dynamic forms, developing workflows using Flow Designer and scripting, and integrating ServiceNow with external systems—particularly Ansible Automation Platform—via REST/SOAP APIs. Collaborates with DevOps, Cloud, and Platform teams, troubleshoots integrations and workflows, and documents technical designs while following governance and security practices.

Responsible for end-to-end Managed File Transfer (MFT) solutions: developing and managing file transfer flows with Flow Manager and Transfer CFT, building JSON automation for Secure Transport administration, managing SSL/TLS/encryption/certificates/authentication, performing upgrades/patches/migrations, troubleshooting transfer/connectivity/performance issues, and supporting BAU operations, monitoring and platform onboarding/integration with infrastructure and application teams.

Sardine seeks a Machine Learning Engineer to own model serving infrastructure, real-time inference, feature retrieval and deployment paths (bring-your-own-model support), monitoring, drift detection, retraining, and incident response. Role involves Python and Go work, Kubernetes/containers, GCP, CI/CD and infrastructure-as-code; roughly 20% hands-on modeling. Remote-first hiring across specified European countries.

Hands-on role owning shared CI/CD platforms, MCP/LLM tooling and agent orchestration, and sandbox infrastructure (Kubernetes, Helm, provisioning, observability, cost and security controls). Requires 5+ years of software engineering experience with strong Python or TypeScript skills and experience operating CI/CD and cloud infrastructure at org scale.