Build and operate production Kubernetes and AWS infrastructure across environments and customer deployments. Own CI/CD pipelines, automated provisioning, deployments, rollbacks, observability, reliability, scalability, and security. Debug issues involving Kubernetes, networking, databases, and applications, while developing internal tooling to improve engineering productivity. Partner with engineering, customer infrastructure, and security teams on enterprise deployments.
We’re building the next generation of conversational voice and video AI for life sciences—intelligent with 100% regulatory compliance. Our AI medical experts help pharma teams engage doctors, support patients, and unlock insights faster than ever before. We’ve just raised our seed, signed our first customers, and are scaling fast. If you're excited about building real-world AI in an early stage startup and shape not just our product, but our identity and culture —this is your moment.
We move like owners. Everyone at SynthioLabs has the autonomy and the responsibility to drive projects, challenge decisions, and push things forward. We don’t wait for permission. If you see a gap, you fill it. If you see a better way, you try it.
We ask “why” until we get to the root. We explore new ideas, research papers, every single edge case and anything that sharpens our understanding.
We use AI like a second brain. From writing code to writing docs, debugging flows to exploring new ideas, AI is part of our daily rhythm. Everyone here gets hands-on with the tools, learns how to prompt better, and treats AI as a teammate.
Synthio is looking for a Platform Engineer to build and operate the infrastructure that powers Synthio Labs. You’ll work across Kubernetes, AWS, CI/CD, observability, security, and developer infrastructure. You’ll also work directly with engineering teams and enterprise customer infrastructure teams, so strong communication is just as important as technical depth.
What You’ll Do
- Build and operate production Kubernetes infrastructure
- Own AWS infrastructure across multiple environments and customer deployments
- Build reliable CI/CD pipelines and automate deployments, rollbacks, and environment provisioning
- Improve observability, reliability, scalability, and security across the platform
- Debug production issues across Kubernetes, networking, databases, and applications
- Build tooling that helps engineers ship faster with less infrastructure overhead
- Work directly with customer infrastructure and security teams on enterprise deployments
- Strong hands-on Kubernetes experience in production is required
- Excellent written and verbal communication skills are required
- 3+ years of experience in Platform Engineering, DevOps, SRE, Infrastructure, or a similar role
- Strong AWS experience
- Strong understanding of Docker, Linux, networking, DNS, HTTP/TLS, and cloud security
- Experience with Terraform, AWS CDK, or other infrastructure-as-code tooling
- Experience building and operating CI/CD pipelines
- Experience with monitoring, logging, alerting, and production incident debugging
- Ability to independently own infrastructure problems end-to-end
- Experience with EKS, Helm, Argo CD, or similar tooling
- Experience deploying applications into customer-controlled cloud environments
- Experience with enterprise security or compliance requirements
- Experience operating real-time, voice, or AI workloads
We’re looking for builders who are comfortable moving quickly, communicating clearly, and taking full ownership of the systems they operate.
At Synthio, we build software that directly supports patients, physicians, and pharma teams. This is production software, not prototypes or demos. The systems you build will be used in real workflows, under real constraints, and at real scale. You’ll have meaningful ownership and a clear line of sight from your code to real-world impact.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Build and operate production software and AI systems across cloud infrastructure. Responsibilities include developing APIs and services, operating RAG and inference platforms, implementing CI/CD and observability, managing AWS or GCP environments with Kubernetes and Terraform, optimizing model serving and GPU usage, controlling cloud and AI costs, and partnering with stakeholders on reliability, security, governance, and technical tradeoffs.
Top Skills:
AWSCi/CdFinopsGCPGoJavaKubernetesLlmsNext.JsNode.jsPythonPyTorchRagReactTensorFlowTerraformTypescriptVector Databases
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical vision, architecture, and delivery of Atlassian’s large-scale Search Platform. Responsibilities include building distributed ingestion and indexing systems, supporting multi-cloud and isolated-cloud environments, meeting enterprise compliance and encryption requirements, improving throughput and reliability, optimizing infrastructure costs, and advancing vector, hybrid, and agentic retrieval capabilities. The role requires cross-functional technical leadership across ML, data, cloud infrastructure, and product teams.
Top Skills:
AWSByok EncryptionData PipelinesDistributed SystemsElasticsearchFedrampFlinkGCPHybrid IndexingKafkaObject StorageOpensearchStreaming PlatformsVector Search
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads the design and productionization of machine learning systems for enterprise and agentic search. Owns document understanding, embeddings, semantic representations, indexing, model lifecycle management, evaluation, monitoring, and continuous improvement. Designs scalable distributed-data systems balancing relevance, freshness, reliability, latency, and cost. Sets technical direction, drives cross-team initiatives, mentors engineers, and translates customer problems into measurable ML and systems outcomes.
Top Skills:
Data EngineeringDistributed SystemsEmbeddingsIndexingInformation RetrievalLlmsMachine LearningModel MonitoringNlpObservabilityRecommendation SystemsSemantic Search
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.


