Staff Software Engineer - Cloud Services
Agiloft
Position Overview
We are seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the architecture of Agiloft’s cloud-native CLM platform and supporting infrastructure. This role has end-to-end accountability for the design, reliability, scalability, security, and long-term health of cloud services that underpin the Agiloft platform.
Operating at both the platform- and organizational level, you will partner closely with Engineering leadership, senior engineers, and product leaders to translate business- and product strategy into durable cloud architectures and executable technical plans. A key focus of this role is designing and enabling scalable, observable, and resilient cloud services on AWS, while accelerating delivery through modern DevOps- and AI-assisted engineering practices.
This is a hands-on leadership role combining deep cloud and backend expertise with broad influence. Your work will directly shape Agiloft’s cloud architecture, operational posture, developer experience, and ability to scale reliably as the platform evolves.
Job Responsibilities
- Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time.
- Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow.
- Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services.
- Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures.
- Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency.
- Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization.
- Drive cross-team alignment on design standards and architectural trade-offs.
- Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards.
- Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default.
- Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring.
- Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight.
- Collaborate with engineering leadership to establish best practices and guardrails for responsible, secure use of AI tools across the cloud SDLC.
- Set and uphold high standards for service reliability, security, observability, performance, and cost management.
- Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling.
- Ensure architectural decisions, service contracts, and operational runbooks are well-documented, discoverable, and actionable.
- Promote a strong culture of ownership and continuous improvement.
- Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking.
- Serve as a technical multiplier—unblocking teams, accelerating architectural decisions, and reducing long-term operational complexity.
- Communicate complex cloud and systems concepts clearly to both technical and non-technical stakeholders.
- Stay ahead of industry trends in AWS services, cloud-native architectures, AI-enabled operations, and DevOps practices, driving pragmatic adoption where it delivers clear business value.
Architecture Ownership & Stewardship
Strategic Technical Leadership
Cloud native & AI-Forward Engineering Enablement
Engineering Excellence & Developer Experience
Mentorship & Organizational Impact
Other duties as assigned.
Required Qualifications
- Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.
- 10+ years of professional software engineering experience,
- 2+ years at staff level.
- Strong proficiency in Python, with working experience in Java, building backend- and cloud-based services.
- Deep experience designing, building, and operating scalable enterprise-grade applications on AWS
- Demonstrated experience owning and evolving architecture for complex, distributed, and long-lived cloud platforms.
- Proven ability to lead service refactoring, software architecture modernization, and platform evolution initiatives while maintaining delivery velocity.
- Strong experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
- Experience designing and evolving CI/CD pipelines for cloud services.
- Strong understanding of observability, including logging, metrics, tracing, and alerting in distributed systems.
- Proficiency with AI-assisted development processes and tools.
- Ability to reason holistically about distributed systems while diving deep into critical technical details when needed.
- Exceptional problem-solving skills with a track record of making sound architectural and operational trade-offs.
- Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
- Excellent written and verbal communication skills, particularly around architecture, risk, reliability, and long-term technical strategy.
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
Originally posted on Himalayas
Senior Software Engineer, Attestation Services - DGX Cloud
NVIDIA
NVIDIA is transforming how the world uses AI, cloud, and accelerated computing, and trust is at the center of that mission. Our Attestation and Trust Services team builds the secure cloud services that show customers their NVIDIA platforms are healthy, resilient, and ready for their most important workloads. In this role, you help design and run services that sit at the intersection of hardware, security, and large-scale distributed systems. We partner closely with security, silicon, platform, and cloud teams to bring new ideas into reliable production services that people rely on every day. We care about building systems that last, supporting each other, and creating space for learning and experimentation. If you enjoy solving complex problems, keeping services running smoothly, and collaborating with teammates from many disciplines, we would love to talk with you!
What you’ll be doing:
Your main focus will be on building and managing our core attestation cloud services. Day-to-day responsibilities include crafting APIs and integrations, boosting reliability, and working alongside NVIDIA teams to convert hardware trust mechanisms and standards into production-ready solutions. You will contribute significantly to shaping how customers verify that NVIDIA platforms are secure and prepared for their workloads.
Crafting and evolving attestation cloud services, APIs, and SDK/CLI integration points that confirm the integrity of NVIDIA platforms across data center, AI, networking, and partner environments.
Improving reliability and operational maturity through SLOs/SLIs, alerting, runbooks, incident response, and safe rollout practices.
Crafting resilient service behavior that handles dependency failures, caching challenges, regional issues, customer-side resilience needs, and graceful degradation.
Architecting trust-material distribution for certificate status, revocation updates, signed metadata, RIM artifacts, trust bundles, offline verification, and customer-managed resilience models.
Implementing appraisal, policy, and verification workflows that evaluate attestation evidence against endorsements, reference values, certificate status, and security requirements.
Providing encouraging technical leadership and mentoring on distributed system development, production debugging, reliability tradeoffs, observability, and operational simplicity.
What we need to see:
BS or MS in Computer Science, Information Security, or a related field, or equivalent experience.
12 + years of proven experience designing and building large-scale distributed systems or cloud services, including at least 3 years in security, attestation, or trusted computing.
Experience owning services in production, including monitoring, alerting, incident response, root-cause analysis, and long-term operational improvements.
Experience developing and maintaining REST and/or gRPC APIs, microservices, control planes, background tasks, caches, queues, data stores, and customer-facing integrations.
Proficiency in Go or Java (our primary service languages); experience with C++ or Rust is a plus.
Hands-on experience with cloud-native platforms such as Kubernetes and containers, CI/CD, infrastructure as code, observability tools, and at least one major cloud provider (AWS, GCP, Azure, or OCI).
Knowledge of distributed systems practices such as retries, timeouts, circuit breakers, backpressure, rate limiting, caching, consistency, idempotency, failover, and dependency isolation.
Understanding of security fundamentals including PKI, TLS/mTLS, certificate lifecycle, signing, secrets management, authentication and authorization, and secure service-to-service communication.
Ways to stand out from the crowd:
Interest in security-critical systems, trust infrastructure, secure service development, and learning more about attestation or confidential computing.
Hands-on experience operating customer-facing cloud services with formal SLOs, error budgets, safe deployment systems, production-readiness reviews, resilience testing, or chaos/game-day practices.
Experience with attestation, confidential computing, trusted execution environments, TPMs, DICE, SPDM, IETF RATS, EAT, CoRIM, HSMs, hardware roots of trust, secure boot, GPU/accelerator attestation, or related open-source and standards efforts.
Experience in services related to identity, PKI, certificate status and revocation, signing, secrets management, trust-material distribution, or control-plane reliability.
Experience crafting services for multi-region, multi-cloud, sovereign, GovCloud, edge, disconnected, air-gapped, or customer-hosted environments.
224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas