Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.
Senior Software Engineer - (Go/Rust/C++)
Austin, TX • Hybrid (3 days onsite/week) • Full-time
Context & Impact:
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
The Recognition & DataCore team owns the core intelligence layer of our platform: the systems that discover, identify, classify, and enrich millions of assets across IT, OT, cloud, and IoT environments. This is high-stakes, high-scale backend engineering - the kind of work where precision, performance, and reliability directly affect the security posture of our enterprise customers worldwide.
We are looking for a Senior Software Engineer who writes production-quality Go or Rust, thinks deeply about distributed systems, and treats AI-assisted development as a daily practice - not an experiment.
AI Fluency
At Lansweeper, we are building an AI-native engineering culture. We expect all engineers to actively use AI tools to enhance productivity and quality across the software development lifecycle, including coding, testing, documentation, and system design. Candidates should be comfortable working with AI-assisted workflows and continuously evolving their approach as tools and practices advance.
Challenge
The main challenges you'll face are:
Key Responsibilities
Key Requirements
Hard Skills
Soft Skills
AI Specific Skills
Lansweeper is an AI-native company. In this role, you are expected to actively use AI-assisted development tools such as Claude Code, agents, subagents, and MCP-based workflows as a core part of your engineering workflow. You should be comfortable prompting, validating, and refining AI-generated code, and using AI to improve development speed while maintaining production-quality standards.
Team Info
You will join an enthusiastic team of 40 engineers based in Spain (global engineering team is 120 people)
Our Offer
Salary: Competitive compensation aligned with industry benchmarks
We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.
About Lansweeper
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.
In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
With Lansweeper, organizations can:
See - Truly complete visibility across hybrid environments
Know - Enriched asset intelligence with lifecycle and risk context
Act - Automate workflows, coordinate remediation, and enforce policy at scale
From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.
Our Culture
We're built on four core values:
One Team - United across boundaries
We Care - Customers and people at the center
We Grow - Learning, sharing, improving
We Deliver - Focusing on what truly matters
How AI is used during Hiring Process
We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via [email protected]
Diversity Statement
It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.
Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.
Call to Action
Ready to join us? Click Apply now or share this role with someone in your network.
#BI-Hybrid
Austin, TX • Hybrid (3 days onsite/week) • Full-time
Context & Impact:
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
The Recognition & DataCore team owns the core intelligence layer of our platform: the systems that discover, identify, classify, and enrich millions of assets across IT, OT, cloud, and IoT environments. This is high-stakes, high-scale backend engineering - the kind of work where precision, performance, and reliability directly affect the security posture of our enterprise customers worldwide.
We are looking for a Senior Software Engineer who writes production-quality Go or Rust, thinks deeply about distributed systems, and treats AI-assisted development as a daily practice - not an experiment.
AI Fluency
At Lansweeper, we are building an AI-native engineering culture. We expect all engineers to actively use AI tools to enhance productivity and quality across the software development lifecycle, including coding, testing, documentation, and system design. Candidates should be comfortable working with AI-assisted workflows and continuously evolving their approach as tools and practices advance.
Challenge
The main challenges you'll face are:
- Enhancing and maintaining high-scale distributed backend systems handling millions of assets
- Solving complex data processing, enrichment, and classification problems at scale
- Maintaining performance, reliability, and engineering rigor in an AI-assisted development environment
Key Responsibilities
- Design and build scalable backend services and data pipelines for asset discovery, recognition, and enrichment
- Work on distributed systems problems: concurrency, fault tolerance, and high-throughput processing
- Integrate AI and ML capabilities into product workflows
- Contribute to architecture decisions and technical standards
- Use AI-assisted development tools as part of your daily workflow
- Mentor engineers and raise the technical bar
- Participate in code reviews, design discussions, and continuous improvement
Key Requirements
Hard Skills
- Primary language: Go or Rust
- Proven experience building distributed systems at scale
- Strong experience with AI-assisted development tools (Claude Code, Cursor, Copilot, etc.)
- Hands-on experience with AWS, Kubernetes, and Terraform
- Strong understanding of backend systems and data-intensive platforms
- Active engineering practice (GitHub, open-source, or personal projects - we will look)
Soft Skills
- Strong systems thinking and problem-solving ability
- High ownership and accountability
- Ability to work effectively in AI-augmented environments
AI Specific Skills
Lansweeper is an AI-native company. In this role, you are expected to actively use AI-assisted development tools such as Claude Code, agents, subagents, and MCP-based workflows as a core part of your engineering workflow. You should be comfortable prompting, validating, and refining AI-generated code, and using AI to improve development speed while maintaining production-quality standards.
Team Info
You will join an enthusiastic team of 40 engineers based in Spain (global engineering team is 120 people)
Our Offer
Salary: Competitive compensation aligned with industry benchmarks
- Benefits:• Time off - 20 vacation days + 3 sick days + 6 personal days + 12 public holidays.• Health & protection - Medical, dental, vision, life, and disability insurance, plus EAP mental health support.• Pension - 401(k) with 4% employer match.• Work setup - Hybrid working with full telework equipment and a monthly internet allowance.• Opportunity to lead within an AI-forward sales organization.• Career growth and learning opportunities within a fast-scaling SaaS company.• Hybrid working model: in our Austin, Texas office.• Engaging company culture with team events and international collaboration.
- Career growth and learning opportunities within a fast-scaling SaaS company
- Flexibility in working hours and hybrid work options in the Austin, TX office.
- Company events and international collaboration
We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.
About Lansweeper
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.
In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
With Lansweeper, organizations can:
See - Truly complete visibility across hybrid environments
Know - Enriched asset intelligence with lifecycle and risk context
Act - Automate workflows, coordinate remediation, and enforce policy at scale
From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.
Our Culture
We're built on four core values:
One Team - United across boundaries
We Care - Customers and people at the center
We Grow - Learning, sharing, improving
We Deliver - Focusing on what truly matters
How AI is used during Hiring Process
We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via [email protected]
Diversity Statement
It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.
Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.
Call to Action
Ready to join us? Click Apply now or share this role with someone in your network.
#BI-Hybrid
Lansweeper Austin, Texas, USA Office
Our company is located close to the Arboretum and the Domain, and only 20 minutes from the airport.
Similar Jobs at Lansweeper
Cloud • Information Technology • Software • Cybersecurity
Own strategic Revenue Operations across forecasting, funnel analytics, GTM planning, sales operations, deal desk, pricing, commissions, data governance, and AI transformation. The role establishes reliable forecasting and unified revenue data, leads annual planning and reforecasts, manages commission systems and pricing operations, and drives AI-enabled workflows. Reporting to the COO, the director leads a distributed team and influences Marketing, Sales, Customer Success, Finance, Data, Systems, and AI teams.
Top Skills:
Ai AgentsAutomationBi ToolingCaptivateiqCRMEverstageSalesforceSpiffXactly
Cloud • Information Technology • Software • Cybersecurity
Provides technical support for the Lansweeper platform by troubleshooting customer cases, reproducing issues in lab environments, documenting resolutions, managing SLAs, and maintaining technical documentation. The role requires hands-on experience across Windows, Linux, virtualization, networking, Active Directory, and cloud platforms. It also involves proactive case follow-up, customer communication, collaboration with support teams, and eventual participation in enterprise and severity-one customer calls.
Top Skills:
Active DirectoryAWSAzureChatgptClaudeConfluenceJIRALinuxmacOSSalesforceSlackbotSQLVMwareWindows
Cloud • Information Technology • Software • Cybersecurity
Own strategic relationships with Lansweeper’s largest enterprise customers from onboarding through renewal and expansion. Build outcome-based success plans, lead executive QBRs and EBRs, quantify ROI, monitor health and usage signals, manage escalations, and identify expansion opportunities. The role partners closely with Sales, Account Management, Product, Support, and Engineering while using AI and customer success tools to improve account planning, risk detection, and customer outcomes.
Top Skills:
ChatgptCloudConfluenceCrm PlatformsCybersecurityGainsightGainsight AiIt OperationsJIRAMicrosoft CopilotSaaS
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

