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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own the architecture, technical direction, reliability, cost efficiency, and adoption of Atlassian’s analytical data platform. Build foundational ingestion, transformation, orchestration, compute, and consumption components; establish multi-tenant standards and SLOs; and lead cross-team technical initiatives. The role requires hands-on development, distributed systems expertise, batch and streaming architecture design, cloud experience, and mentorship of senior engineers.
Top Skills:
Amazon Web ServicesApache IcebergApache PinotSparkClickhouseDbtDelta LakeDruidJavaKotlinKubernetesPythonStarrocks
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Database
Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.
Top Skills:
AWSAws CdkAzureGCPGoKubernetesKvmNasPostgresPulumiQemuTerraformTypescript
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



