Gruve
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Staff Software Development Engineer
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About The Role
We are looking for a highly skilled Cloud Platform Developer to join a fast-paced and rapidly growing engineering team. The ideal candidate has a strong background in building and operating high-scale distributed systems and thrives in environments where ownership, technical excellence, and collaboration are essential.
Key Responsibilities
- Design, build, and maintain large-scale distributed systems that are reliable, performant, and scalable
- Contribute across the full software development lifecycle, from architecture and design to deployment, monitoring, and operations
- Collaborate closely with cross-functional engineering teams to deliver high- quality features and system improvements
- Debug complex production issues with strong analytical and problem-solving skills
- Drive technical initiatives, set best practices, and contribute to continuous improvement of system reliability and performance
- Provide technical leadership on new projects and infrastructure enhancements
Basic Qualifications
- 8+ years of software development experience in a fast-paced, high-growth environment
- Demonstrated experience building large-scale, distributed systems
- Proficiency in Go microservices and Kubernetes / SaaS platforms
- Experience operating distributed systems in production, with a strong sense of ownership and accountability
- Excellent communication skills and the ability to collaborate effectively across teams
Preferred Qualifications
- Proficiency in Secure Software Development practices
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
Staff Software Engineer – Full Stack & AI Innovation
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.
You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.
Key Responsibilities:
- Develop, Analyze and structure product specifications for input into GenAI programming tools.
- Operate GenAI systems to generate code based on structured inputs.
- Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
- Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
- Provide feedback to improve GenAI model outputs and prompt engineering strategies.
- Review and validate generated code for correctness, efficiency, and adherence to coding standards.
- Maintain documentation of input formats, code review findings, and feedback cycles.
- Stay current with advancements in GenAI programming tools and code generation technologies.
- Participate in code reviews and mentor junior developers.
Basic Qualifications:
- Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
- 8 to 10 years' experience with strong expertise in at least one of the following:
- TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
- Python (Django, Flask, FastAPI/ RestAPI)
- Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
- Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
- Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
- Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
- Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
- Strong understanding of software development principles and code review practices.
- Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
- Strong grasp of software design principles (OOP, SOLID, microservices).
- Excellent problem-solving, debugging, and collaboration skills.
- Excellent analytical and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience working with prompt engineering or structured input design for GenAI systems.
- Exposure to MLOps or AI model evaluation frameworks.
- Knowledge of software architecture and design patterns.
- Knowledge of containerization (Docker, Kubernetes).
- Exposure to serverless architecture and event-driven systems.
- Contribution to open-source or AI-driven development communities.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
Staff System Test Engineer - Cybersecurity (SaaS & On-Prem)
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
We are seeking a System Test Engineer with expertise in On-Prem+SaaS+Air Gap applications providing cybersecurity solution to join our dynamic team. The ideal candidate will play a critical role in testing, validating, and ensuring the reliability and security of our Cyber Security platform. This position requires strong analytical skills, hands-on experience with automation, and a deep understanding of cloud environments, networking protocols, firewalls and security frameworks.
Key Responsibilities:
- Design, develop, and execute system-level test plans, test cases, and automated test scripts for a SaaS/On-Prem cyber security platform.
- Validate end-to-end functionality, scalability, and performance of security applications integrated with external ITSM systems.
- Develop and maintain automation frameworks to streamline test execution and enhance test coverage.
- Conduct security, performance, and regression testing to identify vulnerabilities, bottlenecks, and reliability issues.
- Test and validate the functionality of agents that connect with the SaaS/On-Prem platform.
- Work closely with development, product management, and DevOps teams to troubleshoot issues and ensure high-quality product releases.
- Implement and execute API testing, system integration testing, and user acceptance testing.
- Participate in test strategy planning and provide feedback for continuous improvement of the test process.
Basic Qualifications:
- A bachelor’s or master’s degree in computer science, electronics engineering or a related field
- 8-15 years of experience in system testing for SaaS applications and Cyber Security platforms.
- Strong knowledge of networking protocols (TCP/IP, NAT, Network Forwarding, Routing, HTTP/HTTPS, DNS, VPN, IPSec, TLS, etc.).
- Strong understanding of security concepts and working knowledge of firewalls, IDS/IPS, zero-trust architecture, and cloud security controls.
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Analyze and find discrepancies in Network forwarding and security policies.
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Hands-on experience with test automation tools (Selenium/Playwright, Robot Framework, PyTest, etc.).
- Proficiency in scripting and automation using Python, Bash,or other languages.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience of working with Hypervisors such as ESX, KVM, Proxmox etc.
- Familiarity with containerisation and orchestration tools like Docker and Kubernetes.
- Experience with CI/CD pipelines and DevOps processes.
- Strong troubleshooting and debugging skills in distributed systems and cloud environments.
Preferred Qualifications:
- Knowledge of security frameworks such as SOC2, ISO 27001, and compliance standards.
- Experience with security testing tools such as Burp Suite, Nessus, Wireshark, or Metasploit.
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
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Certifications such as AWS Certified Security - Specialty, CCNA Security, CISSP, or CEH are a plus.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.
Key Responsibilities
Engineering Systems Security
- Design and implement security controls across development, staging, testing, and production environments
- Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
- Manage security for source control systems, code repositories, and secrets management platforms
- Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
- Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure
Security Architecture & Technical Leadership
- Design and implement security frameworks aligned with engineering workflows and developer productivity
- Implement zero-trust architecture and least-privilege access models
- Secure API gateways, service meshes, and microservices architectures
- Lead security initiatives across observability, logging, and monitoring platforms
- Strengthen network security posture including firewalls, VPCs, and segmentation
Risk Management & Vulnerability Response
- Conduct security assessments and penetration testing across engineering systems
- Manage vulnerability scanning and remediation programs
- Develop threat models for critical systems and deployment pipelines
- Lead incident response for infrastructure security events
- Track and analyze security metrics (deployment security, configuration compliance, infra drift)
Policy, Compliance & Governance
- Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
- Ensure compliance with data protection regulations (GDPR, CCPA)
- Implement strong access control mechanisms and RBAC.
- Conduct regular audits and maintain compliance documentation
- Manage security for production data access and handling
Automation & Continuous Improvement
- Drive automation of security monitoring, controls, and incident response
- Implement security-as-code using Terraform, CloudFormation, and policy frameworks
- Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
- Maintain infrastructure security baselines and automated compliance checks
- Continuously reduce security technical debt
Business Continuity & Disaster Recovery
- Design and test disaster recovery plans for engineering infrastructure
- Implement backup strategies for source code, artifacts, and configurations
- Ensure high availability and resilience of critical systems
- Support incident response and business continuity planning from a security perspective
Basic Qualifications
Technical Expertise
- 2–5 years of experience in infrastructure security or related fields.
- Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
- Hands-on experience with Kubernetes, containers, and orchestration platforms
- Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
- Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
- Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
- Strong knowledge of network security, encryption, IAM, and secrets management
Compliance & Risk Management
- Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
- Strong understanding of risk assessment and security frameworks
- Knowledge of data privacy and regulatory requirements
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
- Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
- Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
- Proficiency in scripting/programming (Python, Go, Bash) for automation
- Experience in regulated industries (finance, healthcare, government)
- Background in SRE or DevOps practices
- Experience securing microservices and serverless architectures
- Strong interest in security research and evolving threat landscapes
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.
Key Responsibilities
Engineering Systems Security
- Design and implement security controls across development, staging, testing, and production environments
- Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
- Manage security for source control systems, code repositories, and secrets management platforms
- Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
- Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure
Security Architecture & Technical Leadership
- Design and implement security frameworks aligned with engineering workflows and developer productivity
- Implement zero-trust architecture and least-privilege access models
- Secure API gateways, service meshes, and microservices architectures
- Lead security initiatives across observability, logging, and monitoring platforms
- Strengthen network security posture including firewalls, VPCs, and segmentation
Risk Management & Vulnerability Response
- Conduct security assessments and penetration testing across engineering systems
- Manage vulnerability scanning and remediation programs
- Develop threat models for critical systems and deployment pipelines
- Lead incident response for infrastructure security events
- Track and analyze security metrics (deployment security, configuration compliance, infra drift)
Team Leadership & Collaboration
- Build, mentor, and manage a high-performing team of security engineers
- Drive a “security as code” culture across engineering teams
- Collaborate with platform, SRE, and development teams to embed security into SDLC
- Provide training and guidance on secure infrastructure practices
- Foster a culture of security awareness and proactive risk reporting
Policy, Compliance & Governance
- Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
- Ensure compliance with data protection regulations (GDPR, CCPA)
- Implement strong access control mechanisms and RBAC (must-have)
- Conduct regular audits and maintain compliance documentation
- Manage security for production data access and handling
Automation & Continuous Improvement
- Drive automation of security monitoring, controls, and incident response
- Implement security-as-code using Terraform, CloudFormation, and policy frameworks
- Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
- Maintain infrastructure security baselines and automated compliance checks
- Continuously reduce security technical debt
Business Continuity & Disaster Recovery
- Design and test disaster recovery plans for engineering infrastructure
- Implement backup strategies for source code, artifacts, and configurations
- Ensure high availability and resilience of critical systems
- Support incident response and business continuity planning from a security perspective
Basic Qualifications
Technical Expertise
- 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
- Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
- Hands-on experience with Kubernetes, containers, and orchestration platforms
- Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
- Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
- Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
- Strong knowledge of network security, encryption, IAM, and secrets management
Leadership & Collaboration
- Proven experience building and managing high-performing security teams
- Experience driving cross-functional initiatives across engineering, operations, and product teams
- Strong project management and execution skills
- Ability to mentor and grow security talent
Communication & Strategic Thinking
- Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
- Experience presenting security strategies and risk insights to leadership
- Ability to translate business needs into security solutions
- Strong documentation and process definition skills
Compliance & Risk Management
- Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
- Strong understanding of risk assessment and security frameworks
- Knowledge of data privacy and regulatory requirements
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
- Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
- Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
- Proficiency in scripting/programming (Python, Go, Bash) for automation
- Experience in regulated industries (finance, healthcare, government)
- Background in SRE or DevOps practices
- Experience securing microservices and serverless architectures
- Strong interest in security research and evolving threat landscapes
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve