Manage end-to-end technical recruiting for engineering roles: source candidates, conduct HR screens, coordinate technical interviews, maintain candidate records and hiring metrics, and support employer branding.
Experience: 1–3 Years
Location: Remote
Employment Type: Contract-to-Hire (3 Months Contract + Full-Time Conversion Opportunity)
About CloudRaft
CloudRaft is a premier cloud-native consulting and engineering company that helps ambitious startups and digital-first organizations build, scale, and operate mission-critical platforms. We partner with innovators at the forefront of artificial intelligence, developer productivity, observability, digital commerce, and enterprise software—enabling them to accelerate growth with resilient, scalable, and production-ready cloud infrastructure.
Our experience spans organizations developing AI safety and governance platforms, AI Cloud, AI agent ecosystems, developer tooling, observability solutions, digital health products, customer engagement platforms, and technology-driven franchise networks. By combining deep expertise in Platform Engineering, Kubernetes, DevOps, Observability, and Cloud Native technologies, CloudRaft helps high-growth companies move faster, operate more reliably, and focus on building category-defining products.
As we continue to grow, we're looking for a full-time Talent Acquisition Associate who is passionate about bringing the best talent to the organization and excited to build relationships with some of the best talent in the industry.
We are seeking a Talent Acquisition Associate – Engineering/Technical Hiring to support hiring across our technical teams.
This role begins as a 3-month contractual engagement, offering an opportunity to demonstrate recruiting expertise, stakeholder management, and ownership. Successful candidates may be considered for conversion to a full-time role based on performance and business requirements.
You will work closely with the engineering team, founder, and hiring managers to attract top talent across Cloud, DevOps, Platform Engineering, SRE , AI, and Software Engineering domains.
- Manage end-to-end recruitment for engineering positions.
- Understand technical requirements and create effective sourcing strategies.
- Source candidates through LinkedIn, referrals, GitHub, tech communities, job portals, and networking.
- Build talent pipelines for current and future hiring needs.
- Conduct initial HR screening discussions.
- Evaluate candidate experience, motivation, communication, and culture fit.
- Coordinate technical interviews and feedback loops with hiring managers.
- Ensure a smooth and positive candidate experience throughout the recruitment process.
- Maintain accurate candidate records and hiring reports.
- Track key hiring metrics and pipeline health.
- Support employer branding initiatives targeting technical talent.
- DevOps Engineers
- Site Reliability Engineers (SREs)
- Platform Engineers
- Cloud Engineers
- Software Engineers
- AI/ML Engineers
- Technical Support Engineers
- Solutions Engineers
- Engineering Managers
- Having BTech CSE/IT or BBA/MBA in IT and HR, with good knowledge of this specific hiring domain
- 1–3 years of experience in Talent Acquisition, preferably technical recruitment.
- Thrives in startup environments where ownership and execution matter.
- Experience hiring for Engineering, Cloud, DevOps, SRE, Infrastructure, or Software roles.
- Strong sourcing capabilities using LinkedIn Recruiter and other platforms.
- Excellent communication and talent management skills.
- Ability to work independently in a fast-paced startup environment.
- Wants to specialize in niche technical hiring
- Basic understanding of:
- Kubernetes
- DevOps
- CI/CD
- AWS, Azure, or GCP
- Site Reliability Engineering (SRE)
- Platform Engineering
- AI Infrastructure
(You are not expected to be an engineer, but curiosity about technology is important.)
The initial engagement will be for 3 months on contract.
Conversion to a full-time role may be considered based on:
- Hiring performance and delivery
- Quality of sourced candidates
- Stakeholder feedback
- Ownership and accountability
- Candidate experience
- Alignment with CloudRaft values and culture
- Hire for some of the most in-demand technology domains today.
- Work directly with engineering leaders and founders.
- Gain deep exposure to Cloud Native, Kubernetes, DevOps, Platform Engineering, and AI hiring.
- High ownership, visibility, and learning opportunities.
- Clear path to a full-time Talent Acquisition career in a fast-growing technology company.
Similar Jobs
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.
Top Skills:
Artifact VersioningAutomated TestsCameraCi/CdDockerHilLidarRadarSensor FusionSilSimulation Platforms
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Design, implement, and optimize high-performance embedded inference systems for automotive ADAS. Develop and integrate ML runtimes on edge SoCs, ensure low-latency concurrency and I/O, integrate with ROS2/sensor frameworks, deploy to SIL/HIL and CI pipelines, and perform profiling and debugging of perception stacks (camera/radar/LiDAR) under real-time constraints.
Top Skills:
C++17C++20CameraCudaEmbedded Ml RuntimesGitlab CiHilJenkinsLidarNvidia OrinNvidia XavierNxp S32PythonQualcomm Sa8XxxRadarRenesas R-CarRos2Sensor FrameworksSilTi Tda4
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Architect and implement a global test automation framework for ADAS covering simulation, SIL, HIL, and on-road pipelines. Build connectors to simulation platforms and sensor replay, integrate CI systems, provide CLI/APIs, dashboards, test DSLs, reporting, KPI extraction, and ensure reproducibility, traceability, and automated artifact management.
Top Skills:
APIsAzure DevopsCamera ReplayCarlaCi SystemsCliCognataData Replay ToolsDspaceGitlab CiHilJenkinsLidar ReplayPrescanRadar ReplayScenario LibrariesSilTest DslVirtual Ecu
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

