Role

We are looking for a Staff Software Engineer for a hybrid role based in Bangalore, reporting to the Sr. Director of Software Engineering in the platform convergence department. You will design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure. Your work will focus on developing distributed, scalable systems that bridge the gap between control and orchestration layers through fault-tolerant gRPC-based services.

What you’ll do (Role Expectations)

• Design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure
• Develop distributed, scalable systems with a focus on concurrency, fault tolerance, and messaging
• Implement and maintain gRPC-based APIs and services to integrate forwarding plane capabilities with control and orchestration layers
• Optimize system performance through profiling tools across kernel-space and user-space
• Engage in code reviews, system design discussions, technical documentation, and mentoring junior engineers

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of software development experience with extensive coding in Rust, particularly in systems programming and async frameworks like Tokio or async-std
• Proven expertise in building resilient, observable, and horizontally scalable distributed systems
• Strong understanding of Linux fundamentals, including networking, namespaces, sockets, and kernel-user space interaction
• Proficient in container-based environments, Git, CI/CD workflows, and performance instrumentation

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like C/C++ or Go, particularly in performance-critical environments
• Familiarity with Linux networking stacks, kernel-space technologies (eBPF, XDP, DPDK), bare-metal deployments, and Kubernetes networking
• Hands-on experience with gRPC, Protobufs, service-oriented architectures, and L2–L4 networking protocols

#LI-Hybrid #LI-RM6

Position Overview

The Software Engineer (Cloud Foundations) will work on core product systems using Kubernetes, Go, and Python. This role emphasizes end-to-end ownership, from concept to observability, across the stack. We use Terraform for repeatable, safe, infrastructure-as-code installations, including our bring-your-own-cloud (BYOC) offering. The ideal candidate values deep troubleshooting and holistic system ownership.

You will contribute reviewed code, pair with experienced engineers, and have a dedicated mentor. Interns do not hold the production pager neither on-call. Early weeks are for onboarding; mid-term involves owning a concrete ticket/mini-project; and by the end, a demo or résumé write-up is expected.

The role involves hands-on use of industry-standard tools, containers, Kubernetes, Terraform IaC, and CI/CD with guardrails. You will practice debugging beyond local environments. Optional stretch work on areas like async jobs, ingress, or orchestration is available with senior engineers.

Role and Responsibilities

This internship offers hands-on experience within small, collaborative Platform and Infrastructure teams, with projects aligned with our actual shipping processes.

The role involves several key responsibilities and learning areas. Interns will apply and understand Kubernetes fundamentals, such as Deployments, Services, reading cluster state with kubectl, logs, and resource limits, including small manifest or Helm chart changes under review. They will contribute to our Go or Python services through backend development, focusing on bug fixes, test implementation, developing small Command Line Interface (CLI) subcommands, or adding features behind a flag. The initial focus may not be on developing new controllers. Interns will also gain exposure to Infrastructure as Code (IaC) by improving Terraform module variables or documentation, addressing environment drift in development or staging, or adding validation. Customer install scenarios are often simulated in a sandbox.

A core component is Cloud Provisioning and Operations, where interns learn the differences between our SaaS and customer-deployed infrastructure. Potential work includes improving installation documentation, enhancing diagnostics scripts, or developing internal tooling for customer clusters. They will also build essential Observability Practices by adding metrics, log fields, or trace spans, connecting them to dashboards, and documenting changes with short runbook notes.

For stretch opportunities, which will involve pairing with and review by a Staff Engineer, interns might work on a queue consumer, managing retry/idempotency logic, or building related admin tooling. They may also implement small ingress-related changes or touch upon emerging areas like proxying, task queues, and orchestration as we expand our cloud offerings.

Throughout the experience, the intern will practice owning a slice of work: clarifying requirements, implementing the solution, validating it in a cluster, and anticipating potential failure points—all within an appropriate intern scope. This involves writing and testing software, analyzing logs and dashboards, and cross-functional collaboration. Success will be measured by learning velocity, effective communication, and the contributions shipped, not by carrying sole responsibility for large-scale operations like regional failover.

Required Skills and Experience

• Pursuing a B.S. (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline, or demonstrable equivalent depth from projects and coursework

• Solid computer science fundamentals (data structures, algorithms, and how programs fail in the real world)
• Strong programming skills in at least one of Go, Python, C++, or Rust, with willingness to work primarily in Go and Python on our codebase
• Comfortable with Git and a basic Linux command line
• Interest in puzzle-style debugging (for example: why did this workload restart?) without needing every answer on day one

Preferred skill and experience

• Coursework or projects touching operating systems, networking, concurrency, or distributed systems at a high level
• Exposure to Docker or containers, or hands-on use of a cloud provider free tier or class account
• High-level intuition for how the internet works (HTTP, DNS in broad strokes)
• Any Terraform, Pulumi, or other IaC experience in a course, club, or personal project
• Familiarity with Kubernetes or Helm (even if shallow); we will teach depth and our control vs data plane layout on the job
• Interest in end-to-end ownership: describing how you would validate a change from laptop to cluster