Software Engineering SMTS
Informatica3 days ago
Base Salary
$149k - $246k/yr
Responsibilities
- Design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.
- Develop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages.
- Build and maintain Infrastructure as Code for cloud resource provisioning, configuration, deployment, and lifecycle management.
- Develop CI/CD pipelines covering automated builds, testing, security validation, deployment, rollback, and release processes.
- Deploy and operate containerized workloads using Kubernetes or comparable cloud-native platforms.
- Build observability with metrics, logs, traces, dashboards, alerts, and health checks.
- Diagnose production incidents, identify root causes, and implement improvements that prevent recurrence.
- Participate in production support, incident response, infrastructure design discussions, and the full engineering lifecycle.
- Apply security, reliability, access-control, secrets-management, testing, rollback, and deployment-safeguard practices.
- Use AI-assisted development tools responsibly for automation, software development, troubleshooting, testing, debugging, and documentation.
- Collaborate with software engineering, infrastructure, security, and cross-functional teams and contribute to technical documentation and runbooks.
Requirements
- At least 6 years of experience designing and building production software, including full-stack applications, backend services, developer tools, or internal platforms.
- Strong programming skills across frontend, backend, APIs, data stores, and distributed-system boundaries.
- Experience designing, deploying, or operating production workloads on AWS, Azure, Google Cloud Platform, or comparable public cloud platforms.
- Development or automation experience with Core Java, Python, Go, or another programming language.
- Understanding of cloud infrastructure concepts including compute, storage, networking, load balancing, identity and access management, security, high availability, and disaster recovery.
- Experience with Docker, Kubernetes, or comparable container orchestration platforms.
- Experience with Infrastructure as Code and configuration automation using Terraform, CloudFormation, Ansible, Helm, or comparable tools.
- Experience building, maintaining, or improving CI/CD pipelines and automated build, test, deployment, and release workflows.
- Familiarity with Postgres, HBase, Oracle, or similar databases and database cluster technologies such as Oracle RAC.
- Experience with Linux systems and operating-system, networking, process, memory, storage, and performance fundamentals.
- Experience with production observability, distributed systems, reliability concepts, and troubleshooting complex production issues.
- Preferred qualifications include large-scale distributed systems, Kubernetes ecosystem technologies, internal developer platforms, backend services, APIs, command-line tools, controllers, operators, and automation frameworks.
- Preferred qualifications include SRE practices, cloud security, IAM, secrets management, vulnerability management, policy enforcement, infrastructure security controls, and observability technologies.
- Preferred qualifications include Prometheus, Grafana, OpenTelemetry, Splunk, caching systems, messaging platforms, distributed data infrastructure, multi-region or multi-cloud architectures, disaster recovery, and large-scale cloud migrations.
- Experience using AI development tools or techniques for automation, software development, troubleshooting, testing, debugging, and documentation, plus advanced prompt engineering skills.
- Strong analytical, problem-solving, written communication, verbal communication, and cross-functional collaboration skills.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The stated base salary range is $148,500-$223,900 annually, or $178,900-$246,000 annually in select San Francisco and New York City metropolitan areas; bonus, equity, and benefits may also apply.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
AnsibleApache HBaseAWSAzureDockerGoGoogle Cloud PlatformGrafanaHelmJavaKubernetesLinuxPostgreSQLPrometheusPythonSplunkTerraform
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com