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Greeting from Nam info!
We have a job opportunity for HPC Expert ClearML & Confidential Computing , interested candidate & who is available for Final round F2F interview in Bangalore,
Role : HPC Expert ClearML & Confidential Computing
Exp : 5+years
Work Location : Bangalore
Notice period: Immediate - 15Days
Key Responsibilities
· Administer ClearML Server, ClearML Agents, execution queues, projects, users, roles, experiment tracking, pipelines, datasets, artifacts, and model registry.
· Configure ClearML Agents on CPU and GPU worker nodes and integrate them with Slurm, PBS Professional, Kubernetes, or equivalent HPC execution platforms.
· Support GPU-based AI/ML workloads using NVIDIA drivers, CUDA, NCCL, UCX, and containerized environments.
· Maintain secure container execution using Apptainer/Singularity, Docker, Enroot, Pyxis, or Kubernetes.
· Implement confidential-computing controls using technologies such as AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing, Secure Boot, TPM, and remote attestation where supported.
· Integrate authentication, RBAC, TLS certificates, secrets management, and audit controls for ClearML and confidential workloads.
· Monitor ClearML services, agents, queues, GPU utilization, task failures, scheduler integration, and platform health.
· Automate deployment, configuration, monitoring, and troubleshooting using Python, Bash, Ansible, and Git.
Software Engineer, Low-Latency Systems
- Employment Type: Full-time
- Experience Level: senior-level (7–10 years)
About the Role
We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.
This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.
What You’ll Do (Responsibilities)
- Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
- Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
- Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
- Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
- Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.
What We’re Looking For (Requirements)
- Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
- Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
- Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
- Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
- Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
- Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.
Nice to Have (Bonus Points)
- Prior exposure to trading systems, market data feeds, or exchange connectivity.
- Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
- Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
- Familiarity with co-location environments and latency-sensitive infrastructure.
Culture & Fit
We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.
As a Lead Solutions Architect at Aganitha, you will:
* Engage and co-innovate with customers in BioPharma R&D
* Design and oversee implementation of solutions for BioPharma R&D * Manage Engineering teams using Agile methodologies
* Enhance reuse with platforms, frameworks and libraries
Applying candidates must have demonstrated expertise in the following areas:
1. App dev with modern tech stacks of Python, ReactJS, and fit for purpose database technologies
2. Big data engineering with distributed computing frameworks
3. Data modeling in scientific domains, preferably in one or more of: Genomics, Proteomics, Antibody engineering, Biological/Chemical synthesis and formulation, Clinical trials management
4. Cloud and DevOps automation
5. Machine learning and AI (Deep learning)
● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.

