Platform Engineer

Job not on LinkedIn

🔥 1 minute ago

🌐 United States, India, +1 more countries – Remote

🇺🇸 United States – Remote 🇮🇳 India – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Environmental Management Authority

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🛡️ Insurance

💼 Consulting

Healthcare • Insurance • Consulting

Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.

📋 Description

• Design, own, and evolve scalable multi-tenant microservices architectures on Kubernetes across GCP, Azure, and AWS • Build core platform and data-plane components in Golang and Python for data ingestion, knowledge-base indexing, vector/graph search, application connectivity, workflow automation, and ML operations • Own service-to-service communication, including gRPC/protobuf contracts, service mesh, load balancing, retries, timeouts, and circuit breaking • Document architectural tradeoffs involving partitioning/sharding, consistency models, caching, and build-vs-buy decisions • Define reliability contracts, including SLIs/SLOs, error budgets, capacity planning, autoscaling, and graceful degradation • Design and operate observability using Prometheus, Grafana, OpenTelemetry, distributed tracing, and real-time alerting • Drive DevOps and platform-engineering practices using Terraform, Helm, GitOps, and CI/CD pipelines • Optimize performance and cost through profiling, load testing, latency budgets, and cost-per-request analysis • Participate in on-call rotations and lead incident response and root-cause analysis

🎯 Requirements

• Bachelor's degree in Computer Science or a related field • 5+ years of experience in Platform, Infrastructure, or Backend Engineering • Strong CS fundamentals: data structures, algorithms, operating systems, and networking • Proficiency in Golang and Python • Production experience with Docker, Kubernetes, and microservices architecture • Hands-on experience with at least one major cloud provider (GCP, Azure, or AWS); multi-cloud a strong plus • Strong database expertise: query and read/write-path optimization, partitioning/sharding, replication and consistency models, with practical experience in NoSQL and graph stores • Solid grasp of the CAP theorem and database internals • Solid distributed-systems foundation: idempotency, backpressure, delivery semantics, and message queues such as Kafka, Pulsar, NATS, or PubSub • Track record of building platforms from the ground up that other engineering teams successfully build on • Experience operating systems at high scale • Depth in auth and security, including Vault, mTLS, RBAC, OIDC/SAML, and network policy • Experience with vector databases such as pgvector, Pinecone, or Milvus and graph databases such as Neo4j or Neptune • Open-source contributions to infrastructure projects, such as Kubernetes operators

🏖️ Benefits

• Certain roles may be eligible for variable compensation, equity, and benefits • Equal employment opportunity commitment