Armada
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About the Company
About the role
We are looking for a Senior Software Engineer to join our growing engineering team. In this role, you will design and build distributed backend systems, lead critical API design decisions, and drive the deployment and operationalization of machine learning models in production. You will work at the intersection of platform infrastructure and application development, making a direct impact on product quality and engineering standards.
What you will do
- Design, build, and maintain scalable backend services and APIs using Go.
- Deploy, manage, and monitor LLM and ML model workloads in production environments.
- Develop and operate Kubernetes-based infrastructure, writing controllers, operators, and Helm charts as needed.
- Collaborate with product and platform teams to define API contracts and integration patterns.
- Lead technical discussions, conduct code reviews, and mentor junior engineers.
- Identify and resolve performance bottlenecks across services and infrastructure layers.
What we are looking for
- 5+ years of professional software engineering experience in backend or infrastructure roles.
- Strong proficiency in Go — idiomatic code, concurrency patterns, error handling, and testing.
- Solid understanding of Kubernetes — workloads, scheduling, networking, and cluster operations.
- Hands-on experience deploying and serving LLM or ML models (e.g. vLLM, TorchServe, Triton, or similar).
- Proven track record designing and implementing RESTful APIs — including versioning, error contracts, and authentication.
- Comfortable working across the stack: cloud-native services, distributed systems.
Nice to have
- Experience with workflow orchestration systems such as Temporal or Argo Workflows.
- Familiarity with GPU infrastructure, NVIDIA operator, or ML acceleration technologies.
- Exposure to GitOps practices and tools like ArgoCD or Flux.
- Contributions to open-source projects in the cloud-native or ML ecosystem.
Compensation & Benefits
For India-based candidates, we offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the Role
We are seeking a highly experienced Lead Software Engineer / Lead AI Platform Engineer to architect and lead the development of our GPU-as-a-Service (GPUaaS) platform. In this role, you will define the core abstractions that transform complex GPU fabrics, storage systems, and networking into a seamless, self-service experience for researchers and engineers.
You will operate at the intersection of distributed systems, Kubernetes internals, and GPU infrastructure, setting the technical direction of the platform while mentoring engineers and driving cross-functional collaboration. This role is ideal for leaders who enjoy hands-on architecture, deep technical ownership, and building infrastructure at massive scale.
What You’ll Do (Key Responsibilities)
Architectural Strategy & Platform Design
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Lead the design of a globally scalable AI control plane for GPU, storage, and network orchestration.
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Define architectural patterns for custom Kubernetes operators managing complex AI training and inference workloads.
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Own the long-term scalability, extensibility, and evolution of the GPUaaS platform.
Systemic Multi-Tenancy & Security
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Architect hard isolation strategies across kernel, hypervisor, and hardware layers (IOMMU, SR-IOV, device isolation).
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Design secure multi-tenant execution models aligned with zero-trust networking principles.
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Ensure strong isolation without compromising performance in a shared environment.
Storage & Networking Strategy
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Drive integration strategies for VAST, Weka, and DDN storage platforms.
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Collaborate with hardware and networking vendors to optimize RDMA, GPUDirect, and RoCE v2 traffic patterns.
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Design and evolve VXLAN and BGP-EVPN–based networking architectures.
Feature Development
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Design, develop, and maintain custom Kubernetes operators for GPU, storage, and infrastructure automation.
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Implement CRDs, reconciliation logic, and lifecycle management for AI workloads.
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Guide implementation patterns while remaining hands-on with critical platform components.
Reliability, Performance & Scale
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Define platform SLOs, capacity planning models, and GPU availability targets.
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Establish benchmarking standards including MLPerf and custom training/inference stress tests.
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Lead post-incident reviews, root-cause analysis, and performance optimization initiatives.
Technical Leadership & Mentorship
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Set engineering standards through design reviews, architecture documentation, and technical RFCs.
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Mentor and grow L3/L4 engineers into strong platform owners.
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Influence and collaborate across infrastructure, security, and product teams.
Required Qualifications
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10–15 years of experience in software, platform, or infrastructure engineering roles.
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Demonstrated expertise designing and operating production-grade Kubernetes operators using Go (Kubebuilder / Operator SDK).
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Deep understanding of Kubernetes internals, including etcd performance, API machinery, CRDs, controllers, and scheduling.
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Proven experience building secure, multi-tenant platforms with strong isolation and zero-trust networking.
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Strong hands-on knowledge of high-performance storage and networking, including POSIX semantics, CSI drivers, and InfiniBand / RoCE v2.
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Experience designing infrastructure automation workflows using tools such as Ansible, Terraform, or equivalent.
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Hands-on experience with observability and monitoring tools such as Prometheus, OpenTelemetry (OTEL), Grafana, Splunk, or similar.
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Strong proficiency in Go and Python.
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Excellent leadership, communication, and cross-functional collaboration skills.
Preferred / Nice-to-Have Qualifications
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Experience with AI serving frameworks such as vLLM, Ray Serve, Triton Inference Server, or similar.
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Familiarity with virtualization and lower-layer systems including VMware vSphere, OpenStack, KVM, or bare-metal provisioning.
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Experience with GPU infrastructure, including NVIDIA DGX/HGX systems, GPU Operator, DCGM, Nsight, or performance profiling tools.
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Exposure to distributed training systems such as PyTorch DDP, DeepSpeed, or large-scale training frameworks.
Compensation & Benefits
For India-based candidates, we offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
About the Company
About the role
We are seeking an experienced Product Manager to lead our GPU-as-a-Service product development initiatives. The ideal candidate will have 5+ years of experience, with a strong background in developing infrastructure provisioning/orchestration, virtualisation, and AI applications.
Location: Bangalore, India
What You'll Do (Key Responsibilities)
- Develop and define Infrastructure-as-a-Service and Platform-as-a-Service product roadmap for GPU infrastructure provisioning and orchestration
- Define and prioritize features for secure multi-tenant GPU infra provisioning, Baremetal/VM/Kubernetes/Container/SLURM as-a-service offerings and AI/ML/HPC workload management
- Develop differentiating product requirements and specifications based on customer needs and market demand.
- Work closely with UX/UI design team to craft intuitive and streamlined experiences.
- Collaborate with cross-functional teams, including engineering, design, and marketing, to ensure successful product delivery.
- Conduct market research and competitor analysis to identify trends and opportunities in GPU computing and AI infrastructure
- Define and track key product metrics (adoption, utilization, customer satisfaction)
- Work closely with engineering teams throughout technical design, implementation, launch and operation of features and capabilities.
- Develop internal and external documentation, including how-to guides, best-practice whitepapers, and API references.
- Conduct product demos for external parties such as customers, partners, and investors, and to CXO level audience within the company.
- Stay updated on emerging technologies in GPU computing /storage /networking, NVIDIA and partner ecosystems, edge computing, and AI/ML infrastructure patterns.
Required Qualifications
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- Strong expertise in crafting intuitive UX for complex software solutions.
- Excellent stakeholder management, communication and presentation skills
- Experience working with global companies across time zones
- 5+ Experience with any of the below as a Product Manager:
- Cloud Infrastructure, Data Center or Edge computing, Storage, Networking
- Understanding of Kubernetes, containers, and virtualization technologies, with the ability to partner closely with engineering
- AI/ML platform products, model training infrastructure, or inference serving systems.
Preferred Qualifications
- Experience in GPU orchestration, GPU virtualization, multi-instance GPU (MIG), GPU scheduling, and container-based GPU workloads.
- Experience building multi-tenant platforms with governance, compliance, and cost allocation features
- Experience with NVIDIA GPU ecosystem: CUDA, TensorRT, Triton Inference Server, NIM, NVIDIA AI Enterprise etc.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada