Senior Infrastructure Engineer at Ema

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
5+ years of hands-on experience in Infrastructure, Platform, or related fields
Strong understanding of container orchestration (Kubernetes) and infrastructure as code (Terraform, Helm) - nice to have
Hands-on experience with automation frameworks (Ansible, ArgoCD, Flux, or similar) - nice to have
Knowledge of service mesh and networking for multi-cloud environments (Istio, Envoy, or similar) - nice to have
Familiarity with monitoring and observability stacks (Prometheus, Grafana, Signoz, PagerDuty) - nice to have
Prior experience in ML Ops or data infrastructure - nice to have
Proficiency in Python or Go - nice to have
Exposure to air-gapped deployments, private clouds, or secure enterprise installations - nice to have
Experience designing installers and deployment managers for both SaaS and air-gapped on-prem environments - nice to have

Responsibilities

Partner with product, infra, and engineering teams to architect and build Ema’s next-generation infrastructure platform supporting multi-cloud deployments and on-prem installations
Design and implement scalable, secure, and resilient deployment frameworks for Ema SaaS and enterprise on-prem environments, enabling automated installation, upgrades, and lifecycle management of Ema
Develop and maintain multi-cloud infrastructure pipelines (AWS, Azure, GCP) using Kubernetes, Helm, Terraform, and cloud-native services to ensure seamless and reliable deployments
Build tools and frameworks to automate the provisioning, configuration, monitoring, and upgrade of Ema environments at scale
Design and optimize CI/CD pipelines (GitHub Actions, Cloud Build, etc.) to streamline the release process across environments while improving developer experience
Contribute code and automation scripts (in Python, Go, or Shell) to strengthen infrastructure management and deployment reliability
Ensure observability, scalability, and security across distributed systems by integrating monitoring, logging, and alerting solutions
Collaborate cross-functionally to evolve Ema’s infra architecture, enabling faster deployments, lower operational overhead, and improved platform stability

Skills

Key technologies and capabilities for this role

Infrastructure EngineeringService ArchitectureDeploymentQuery OptimizationDistributed SystemsData InfrastructureMachine Learning InfrastructureSecurityAuthenticationScalabilityReliabilityPerformance Optimization

Questions & Answers

Common questions about this position

Is this a remote role or does it require office presence?

This is a hybrid role where employees are expected to work from the office three days a week.

What technical skills are required for the Senior Infrastructure Engineer role?

Key skills include Kubernetes, Helm, Terraform, multi-cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines (GitHub Actions, Cloud Build), and coding in Python, Go, or Shell.

What is the team and company culture like at Ema?

Ema has a powerhouse team of engineers from top companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase, all from elite institutions such as Stanford, MIT, and CMU, working in a dynamic, fast-paced, mission-oriented, high-growth startup environment.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What makes a strong candidate for this Senior Infrastructure Engineer role?

Strong candidates have experience designing scalable infrastructure for multi-cloud and on-prem, building CI/CD pipelines, automating deployments with tools like Kubernetes and Terraform, and coding in Python, Go, or Shell, plus excitement for a fast-paced startup.

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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