📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company DigitalOcean 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical engineering field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15.0 – ₹26.0 LPA 🏢 Industry Non-Tech 🛠 Key Skills Go Kubernetes AI inference serving frameworks vLLM Triton TensorRT-LLM Software Engineer II - Serverless Inference at DigitalOcean — Full Details & How to Apply DigitalOcean is seeking a Software Engineer II - Serverless Inference in Bengaluru, Karnataka, India to innovate in AI/ML serverless architectures. With a salary range of ₹15.0 – ₹26.0 LPA , this role offers a significant career boost for freshers. The demand for serverless architectures in AI/ML is surging, making this Software Engineer II - Serverless Inference role crucial for DigitalOcean 's growth in cloud services. As companies increasingly adopt cloud solutions, the need for skilled professionals in this area is more important than ever, positioning this role at the forefront of technological advancement. DigitalOcean has grown to over 600 employees since its founding in 2011 . The company serves millions of developers globally, fostering a culture of innovation and collaboration that makes it an attractive place for aspiring engineers. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical engineering field and 2+ years experience to apply. This role not only offers a competitive salary of ₹15.0 – ₹26.0 LPA but also a chance to work with cutting-edge technologies. In this role, you will gain hands-on experience with essential skills such as Go , Kubernetes , AI inference serving frameworks , vLLM , Triton , and TensorRT-LLM . This unique exposure will open doors to advanced career opportunities in cloud computing and AI, allowing you to significantly enhance your professional trajectory. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Software Engineer II - Serverless Inference at DigitalOcean is to design and implement efficient serverless inference engines that optimize AI model deployment for enhanced performance. Design and implement serverless inference engines using Go to optimize AI model deployment and improve system efficiency. Utilize Kubernetes for managing containerized applications, ensuring high availability and scalability in production environments. Collaborate with the AI/ML team to integrate vLLM and Triton into existing systems for enhanced performance and reliability. Monitor system performance metrics to identify bottlenecks and improve reliability using observability tools. Take ownership of project deliverables, ensuring timely completion and adherence to quality standards in all phases of development. Document system architecture and processes for internal knowledge sharing and onboarding new team members effectively. Troubleshoot production issues, providing solutions to maintain system uptime and reliability, ensuring minimal disruption. This role fosters an ownership culture, allowing engineers to directly impact the performance and reliability of AI model deployments at DigitalOcean . Required Skills & Technical Competencies The ideal candidate for the Software Engineer II - Serverless Inference role will possess a robust skill profile that includes both technical and soft skills essential for success. Technical Skills Go — advanced — essential for backend development and implementing serverless inference engines. Kubernetes — intermediate — critical for container orchestration and managing application scalability. AI inference frameworks — intermediate — familiarity with vLLM and Triton is necessary for optimizing AI model serving. Site Reliability Engineering (SRE) — intermediate — skills in observability and capacity planning are vital for maintaining system health. Strong communication skills — advanced — necessary for effective collaboration with cross-functional teams and stakeholders. Good to Have (Bonus Skills) TensorRT-LLM — enhances capabilities in optimizing AI models for inference. Cloud infrastructure knowledge — provides a broader understanding of DigitalOcean 's services. CI/CD pipelines familiarity — streamlines the deployment process and improves development efficiency. When showcasing these skills in your resume or interview, emphasize specific projects and experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for candidates who have a solid technical foundation and are eager to contribute to innovative AI solutions at DigitalOcean . Candidates must hold a Bachelor's or Master's degree in Computer Science , Software Engineering , or a related field. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. A minimum of 2 years of experience is required, but freshers with relevant internships may be considered. A CGPA of 7.5 or above is preferred to demonstrate academic excellence. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's profile. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant experiences and skills. Include links to your portfolio or GitHub to showcase your projects effectively. Pro tip: Tailor your application to highlight specific experiences with Go and Kubernetes to stand out in the selection process for this role. Salary for Software Engineer II - Serverless Inference at DigitalOcean 💰 Compensation ₹15.0 – ₹26.0 LPA The advertised compensation for the Software Engineer II - Serverless Inference role at DigitalOcean is ₹15.0 – ₹26.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at DigitalOcean The selection process for the Software Engineer II - Serverless Inference role is designed to identify candidates with strong technical skills and cultural fit. 1 Online Coding Assessment — 60 minutes, testing problem-solving and programming skills. 2 Technical Interview — in-depth discussion on Go, Kubernetes, and AI frameworks, assessing depth of knowledge. 3 Behavioral Interview — exploring cultural fit and teamwork scenarios. 4 HR Interview — discussing salary expectations and company culture, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Coding Assessment Data Structures — understanding arrays, linked lists, and trees is crucial for coding challenges — LeetCode Algorithms — focus on sorting and searching algorithms relevant to backend development — GeeksForGeeks System Design Basics — foundational knowledge for building scalable systems — YouTube Problem-Solving Techniques — practice common coding patterns and challenges — HackerRank Round 2: Technical Interview Go Programming — deep dive into Go syntax, concurrency, and best practices — Udemy Kubernetes Architecture — understanding pods, services, and deployments — Katacoda AI Frameworks — study vLLM and Triton for inference serving — Coursera Distributed Systems Concepts — grasp the principles of scalability and fault tolerance — NPTEL Site Reliability Engineering — focus on observability and reliability metrics — freeCodeCamp Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method for role-specific scenarios — MindTools Team Collaboration — discuss past experiences working in teams — GeeksForGeeks Technical Deep-Dive — be ready to explain your approach to a specific technical problem — YouTube Timeline & Expectations The timeline from application to offer typically spans 1-2 weeks , allowing for thorough evaluation and feedback. Prepare thoroughly for each round, focusing on both technical skills and cultural fit. Expected Interview Questions for Software Engineer II - Serverless Inference at DigitalOcean These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize an AI model using Triton. What are the key features of Kubernetes that support microservices architecture? How do you handle concurrency in Go? Describe a challenging bug you fixed in a production environment. What metrics would you monitor in a serverless architecture? How do you ensure high availability in distributed systems? Behavioral Questions Describe a time you faced a conflict in a team and how you resolved it. How do you prioritize tasks when working on multiple projects? Give an example of a project where you took the lead. How do you handle feedback and criticism? Role-Specific Questions What strategies would you use to improve the performance of a serverless inference engine? How would you approach integrating a new AI framework into an existing system? What considerations are important when designing a multi-tenant architecture? Structure your answers using the STAR method to provide clear and concise responses. Resume Tailoring & ATS Keywords for Software Engineer II - Serverless Inference Optimizing your resume for ATS is crucial for this role to ensure visibility in the hiring process. ATS Keywords to Include Software Engineer II Serverless Inference Go Kubernetes AI inference vLLM Triton TensorRT-LLM Site Reliability Engineering Distributed Systems Cloud Infrastructure Backend Development Resume Tips for This Role Highlight your experience with Go and Kubernetes prominently. Showcase any projects related to AI inference or serverless architectures. Include links to your GitHub or portfolio to demonstrate practical skills. Optimize for ATS by using keywords from the job description. Avoid generic statements; focus on specific achievements and contributions. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant work experience or generic skills that do not align with the job description. 7-Day Preparation Roadmap for Software Engineer II - Serverless Inference Interview This roadmap is tailored to the JD requirements, ensuring focused preparation. Day 1-2: Study Go fundamentals using resources like 'The Go Programming Language'. Day 3-4: Practice Kubernetes concepts with hands-on labs on platforms like Katacoda. Day 5-6: Explore AI frameworks through online courses or documentation. Day 7: Conduct a mock interview and finalize your resume based on company research. Recommended Resources Udemy Coursera GeeksForGeeks Katacoda Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume for the specific role; always align your skills with the job description. ❌ Failing to prepare for behavioral questions; practice the STAR method to articulate your experiences. ❌ Overlooking the importance of system design knowledge; familiarize yourself with basic principles. ❌ Not researching DigitalOcean 's products and culture; understanding the company is crucial for interviews. ❌ Ignoring the significance of soft skills; emphasize teamwork and communication abilities. ❌ Submitting a generic cover letter; customize it to reflect your interest in the specific role. About DigitalOcean Founded in 2011 , DigitalOcean has rapidly expanded its global footprint, now operating data centers in over 13 countries . Headquartered in Bengaluru, Karnataka , the company has established itself as a significant player in the cloud infrastructure market, focusing on simplifying cloud services for developers. DigitalOcean's core offerings include Droplets , Kubernetes , and App Platform , which cater to both startups and established enterprises. These products are designed to enhance developer productivity and streamline application deployment, making cloud computing accessible and efficient for users of all skill levels. The company culture at DigitalOcean is reflected in its impressive 4.5-star rating on Glassdoor , showcasing a commitment to employee satisfaction and a positive work environment. DigitalOcean actively promotes initiatives such as mentorship programs and employee resource groups, fostering a collaborative atmosphere that encourages personal and professional growth. Recently, DigitalOcean announced a strategic investment in AI technologies , positioning itself as a key player in the evolving cloud landscape. This initiative aims to enhance its product offerings and improve the overall user experience, demonstrating the company's commitment to innovation and technological advancement. For freshers, DigitalOcean serves as a robust career launchpad, offering opportunities to work on cutting-edge projects in a supportive environment. The company emphasizes skill development and provides resources for continuous learning, making it an ideal place for new talent to thrive in the tech industry. Why Join DigitalOcean as Software Engineer II - Serverless Inference? Joining DigitalOcean as a Software Engineer II - Serverless Inference provides a unique opportunity to work with advanced technologies in a supportive environment, enhancing your skills while contributing to innovative projects. Hands-on experience with Go — develop your programming skills in a language crucial for backend development, enhancing your technical expertise. Kubernetes proficiency — gain valuable experience in container orchestration, a critical skill for modern cloud environments. Career advancement opportunities — after 1-2 years, potential paths include roles such as Senior Software Engineer or Cloud Architect within DigitalOcean. Collaborative culture — engage in teamwork and knowledge sharing among engineers, fostering a supportive and innovative work environment. Flexible hybrid work model — enjoy a balanced lifestyle with the option to work remotely while collaborating in-office when needed. According to NexisGrow.com, the role of Software Engineer II - Serverless Inference at DigitalOcean offers a unique blend of skill development and career growth, making it an excellent choice for those looking to advance in the tech industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer II - Serverless Inference at DigitalOcean? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical engineering field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Go, Kubernetes, AI inference serving frameworks, vLLM, Triton. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15.0 – ₹26.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at DigitalOcean? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Go, Kubernetes, AI inference serving frameworks, vLLM, Triton. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer II - Serverless Inference interview? Preparation Tap to expand + Answer (1) Core concepts of Go, Kubernetes, AI inference serving frameworks, vLLM, Triton, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) DigitalOcean research, (5) Clear communication. ? What is the work culture like at DigitalOcean? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Non-Tech jobs Latest Fresher jobs More jobs at DigitalOcean Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com