Shreyam Kela

Last week, I got promoted to Senior SWE at Intuit 🚀 Sharing my Intuit interview experience on this occasion I had applied for the position of Software Engineer 2 via Instahyre, after which I was contacted by the talent acquisition team. The interview process consisted of a total of 6 rounds. ✅ Online coding assessment - Included coding questions and MCQs on OOPs, Data Structures and Algorithms. ✅ Craft round - This is basically a system design round where I was given a real world problem statement and I needed to come up with the LLD. It lasted for around an hour with a lot of questions on my design choices. ✅ TR 1 - The first technical round included questions on DSA, followed by a few questions on Java covering multi threading, exception handling and OOPs concepts. ✅ TR 2 - In the second technical round, I was asked a few puzzles and some open ended questions to test the logical reasoning skills. ✅ TM - The techno managerial round involves discussion on your past projects and experiences. This is more of a behavioural round where you are tested around the company values. ✅ HR - The final round is a basic HR discussion followed by offer generation. Hope this post was helpful. Companies paying 10+ LPA to freshers - https://lnkd.in/gySgWwZH Companies paying similar to FAANG - https://lnkd.in/gdv7Z-uK Referral template - https://lnkd.in/g-U2pcnJ Do follow Akanksha Buchke for hiring updates, referrals and tech content. #SeniorSWE #JobPromotion #Tech #Intuit

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Intuit leveraged K8sGPT and GenAI in their on-call process, resulting in improved issue detection, debugging, and resolution. 🚀 On-call engineers often face frequent alerts, tedious log scanning, and multiple team handoffs to resolve issues. Often, few teams have high operations load and engineers face fatigue resulting in low productivity. 😌 Intuit was facing similar issues with their complex Kubernetes deployment comprising 325+ clusters and 7000 services. They came up with a methodical approach to solve the problem through GenAI. What were the goals of the project ? 👉 Reduce the Mean Time To Detect (MTTD) an issue 👉 Reduce the Mean Time To Remediate (MTTR) an issue How did they solve the problem ? 1️⃣ Golden cluster signals - Single view of cluster's health and availability. It helped engineers to detect the bad clusters quickly reducing MTTD. 2️⃣ Debugging with K8s GPT - Adopted open-source K8s GPT to analyze root cause of failures. K8s GPT has integration with Open AI and other models. 3️⃣ Remediation with GenAI - Since public LLMs don't have Intuit specific data, they hosted local models and augmented them with Intuit specific data (RAG) that suggested remediation Intuit is planning to extend the tool and use it for other use cases, such as traffic and Java virtual machine debugging. They have published a detailed blog on how they adopted K8s GPT and the challenges they faced. You can find the link in the first comment. 👇 On-call weeks are challenging, but investing in GenAI can streamline the process and improve work-life balance. Share in the comments if you've used GenAI to improve your on-call process. Also, explore how K8sGPT could boost your team's operational efficiency. Also, folks who are interested to know more about K8s GPT can go to the github link, understand the code and start contributing. 🔥 #chatGPT #GenAI #softwareengineering

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Associate role. You should be prepared for any questions/situation. Interview experience for Goldman Sachs. In total there were 6 rounds. Round 1: Hackerrank Test - 2 questions. time limit - 120 mins. Unable to recall exact questions, but it had something to reach from cordinate A to B. similar to https://lnkd.in/gquUwdyv LIS Round 2: Coderpad round Two easy coding questions were asked. Round 3: DSA https://lnkd.in/gN7CpzQM - First I asked some generic corner scenarios. Gave an O(nm) solution using bfs. https://lnkd.in/gBn7FqSG - First I gave O(n*k) solution which is based on finding the 2nd or 3rd largest element, then I gave an O(nlogn) solution, and then came up with the O(nlogk) solution. Round 4 : DSA+DB https://lnkd.in/g7Z-iEjv - This question was actually tricky. First I came up with a greedy approach, which I proved will not work. Then using recursion I found overlapping subproblems, and gave him a dp approach. He said to optimize it. I then implemented a O(n) bfs solution addressing all the bounds. https://lnkd.in/gstt3MDm - I first gave O(n^2) solution. Later, I came up with a O(n) solution using bit and trie. one DB question. Round 5: System Design In depth resume grill. design an API. I walked them through all the concepts which are used. Follow up question, How authorisation and authentication works. I walked them through core concepts and flow. Round 6: Hiring Manager round (30 mins) In depth resume grill. some basics question like why gs and all. some basic behavioral questions. verdict - I eventually called the hr after 2 days regarding feedback. She said I'm selected and it's a long process in gs so a confirmation will come in a week or so. I hope this helps all the champs who are working hard!!

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🌟 Exciting Learning Experience! 🌟 I had the privilege of engaging in a System Design mock interview with the incredible Mark Klenk. In this session, I stepped into the candidate's shoes while Mark, with his extensive experience and insightful approach, took on the role of the interviewer. 🔍 What to Expect: • Real-world Scenarios: Dive deep into complex system design problems that are commonly faced in technical interviews. • Expert Insights: Learn from Mark's detailed feedback and understand the nuances of crafting efficient and scalable system designs. • Practical Tips: Gain valuable tips and strategies to tackle system design questions effectively. 💡 Whether you're preparing for an upcoming interview or simply looking to sharpen your design skills, this video is packed with valuable insights. 📺 Watch the Full Video Here: https://lnkd.in/gdBTKeAs A big thank you to Mark Klenk for his time and invaluable feedback. Let's continue to learn and grow together! #SystemDesign #MockInterview #SDE #IGotAnOffer #TechInterviews #CareerGrowth #EngineeringExcellence #CollaborativeLearning #Growth #TechJourney #LearningExperience #Skills

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Good intro course to LLM agents using langgraph and popular agentic patterns.

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SQS is great! But requires a lot of work for doing some very basic stuff like - retries with exponential backoff - selective purge of the queue - idempotent processing - Observability of the current processing status of all the messages in the queue And so on. I do feel you start solving all these basic problems for durable execution which are not even related to your application logic. And then you repeat the pattern again and again OR end up building libraries that you need to maintain forever. I think an ideal solution would be to have a platform that takes care of it and lets you focus on your application logic. Restate is a platform that can help you do that. Fun fact: A couple of days ago I met the amazing creator of Restate Stephan Ewen over dinner, and we somehow ended up discussing these pain points. More than discussion Stephan wrote a quick application using restate and demonstrated how it makes life easier. Impressive!! Try it out folks, works on my laptop. Note: you can take a look at the podcast I recorded with Stephan talking about restate. Restate - making distributed systems simple with Stephan Ewen https://lnkd.in/e4eAZ-Cb

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Having a better framework for my 1:1 meetings helped me gain better insights from my mentors at Facebook. When I started my career, I always knew I needed mentorship to grow both personally and professionally. I used to ask for and accept any mentorship 1:1 sessions. One thing I missed was doing some groundwork on what I needed before talking to these people. At one point, I had four mentors in six months. I used to simply join the meetings. When you are unprepared regarding what you are looking for and what you need from those sessions, you tend to babble, and that did happen to me as well. It made me feel the following ways: 1. Given that I was unprepared, I used to talk about the same things with different mentors. At the end of the half, I had many pieces of advice on the same issue but was unable to try them out, since I had many choices to address the same problem. 2. Since I wasn't documenting anything, I was not able to give feedback to my mentors. If you are not changing your mindset or unable to judge a mentorship, it's more like wasting everyone's time, and I got this feeling. Thanks to this experience, I now define my goal when I first get a mentor. It might not be perfect, but it can be something like, "I need guidance on how I can become technically strong." This is how I start, and my journey will add the rest. I make a table of contents on what topics to discuss for our 1:1s and drop all the comments into the table. It keeps me organized and helps me revisit when needed. Since I've already defined my goal, we can stay on the same page. Lastly, I visit this table of contents once a week and take any follow-up questions to the next week. I talk about things I implemented from the previous week's feedback. I was able to achieve this only because I documented things, which helped me stay accountable for my groundwork. Ground work is the key!

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Fail often, fail fast and fail better

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***Update: We will be filtering from the ones who have applied. Position can be considered as closed now**** I'm hiring for the following positions in my team. All of these are 0-1 (founding engineers) positions for a new vertical that we're building. Folks who have worked on scale are preferred. (Our current scale is around 3M rpm and expected to grow significantly over this year). 1. Full Stack engineer (Lead role) Experience: 4+ years (or should be able to justify less experience for the role) Tech stack: Reactjs, Nodejs, MySQL (but should be open to try new things) Should have worked on third-party app integration. 2. Intern Full stack (6 months): You come with the right mindset and work on full-stack (platform, front-end, backend, mobile). Build expertise while as you gain insights. You will be working with Shivam Munshi Harsh Rathi Utkarsh Arya Karan Varshney Arsh Thind Aditya Chowdhry Ankan Pal Sachin Gupta Note: If you are applying for internship, please include your highlights in the message along with resume. Please add your response here : NA #Software #Fullstack #Openings

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Over the past few weeks, I’ve been having great conversations with Rushabh Shah about how we can better upskill ourselves in today’s evolving tech landscape. One area we both agreed on diving deeper into is AI and Machine Learning. To kick things off, I’ve started reading “AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence”—a recommendation I came across through Utsav‘s channel (https://lnkd.in/eegm5wBc). The book strikes the perfect balance between practical application and theoretical concepts, making it accessible without skimping on the deeper knowledge. If you’re looking to build a solid foundation in AI/ML, I highly recommend checking it out! 📚 #AI #MachineLearning #TechGrowth #ContinuousLearning #CodingResources https://a.co/d/fjjMEO8

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Recently, I came across an article about Amazon Prime shifting from microservices to a monolith. While it amazed me at first glance, it has also reportedly saved 90% in architecture costs. This struck a chord with me because it echoes the challenges I’ve faced in my own journey with microservices. ✅ Advantages I’ve seen with microservices: - Scalability - Flexibility - Fault isolation ❌ Challenges I’ve faced: - Increased complexity - Operational overhead - Data consistency issues There were moments when I questioned the path I was taking, following microservice architecture because it was widely regarded as a "best practice". And yes, statistics backs up this statement. This Amazon Prime example reminds me of an important lesson. There is no one-size-fits-all solution. Architectural choices should always align with the problem at hand, not just because they are old or considered the best. If you want to know more about what happened at Amazon Prime, go ahead and check out this article : https://lnkd.in/gtPgZf4J

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Recently, Ritika, one of my mentee, shared how she earned an NVIDIA-Certified Associate: AI Infrastructure and Operations certification, YOU too can achieve something incredible. It was amazing to see her excitement and learning journey. She highlighted how GPUs are transforming AI and shared her newfound expertise in AI workloads, clusters, and infrastructure. Her success got so many people, including students and professionals, asking me: "Vikram, how can we also get free NVIDIA training and certifications?" 💡 Here’s your chance to join the learning wave! NVIDIA is hosting a free webinar on “Accelerating Python with GPUs” where you’ll explore Python-based tools like RAPIDS, cuDNN, and CUDA Python to supercharge your applications. BONUS: All participants receive a FREE NVIDIA self-paced training course worth up to $90. 🎉 This is perfect for students, developers, and professionals who: ✅ Want to learn how to make Python run MUCH faster. ✅ Need tools to work on AI, data science, or research projects. ✅ Love exploring cutting-edge tech like GPUs, RAPIDS, and CUDA Python. Why Should You Care? This webinar is not just about learning; it’s about standing out. GPUs are the backbone of modern AI, and knowing how to use them gives you a HUGE edge in placements, projects, and careers. Even Ritika, who recently aced her NVIDIA certification, says it helped her build real-world skills and boosted her confidence in AI projects.  👉 Event Details: - Date: January 16, 2025 - Time: 2:00 p.m. IST | 4:30 p.m. SGT | 9:30 a.m. CET 📘 What you’ll learn: - How to speed up Python applications using GPU-based frameworks. - Using RAPIDS to accelerate pandas without changing any code. - Programming directly for NVIDIA hardware. 🎓 This is perfect for: - Python developers - AI/ML enthusiasts - Data scientists - Researchers - Students 🌟 Don’t miss this opportunity to learn, grow, and add a valuable certification to your portfolio. Register now and take the first step toward mastering GPU computing. Let’s turn your learning goals into achievements, just like Ritika did! 💪 Don’t Wait—Seats Are Limited! Opportunities like this don’t come every day. This free course could be the thing that helps you land a better internship, ace that data project, or simply level up your skills. 👉 Register Now Before It’s Too Late! : https://lnkd.in/dr58QweV Remember, your future self will thank you for grabbing this chance today! ❤️ Special thanks to Kavita Aroor for this amazing opportunity! 🙌 #NVIDIA #AI #python

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I've been exploring the concept of clustered collections and their use cases. While they offer significant benefits, they also come with trade-offs. Got some new ideas in my mind about clustered collections and its usecases for my projects. Here are some key points: Benefits: 📈 Improved Query Performance: Faster range queries and efficient data retrieval. 🚀 Optimized Read Operations: Reduced disk seeks for sequential data access. 📊 Better Data Organization: Structured data storage for specific workloads. Costs: 💰 Increased Complexity: More complex schema design and indexing strategies. 🕒 Higher Maintenance: Requires careful planning and ongoing management. ⚙️ Potential Performance Trade-offs: May not suit all query patterns and workloads. For further ideas, watch this informative video by Hussein Naseer: https://lnkd.in/d_s6GqFG Everything we do in software engineering does has cost. Give a look to this blog. #SoftwareEngineering #DatabaseDesign #MongoDB #TechInsights

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Did you know there are no "roles" (SDE, SDET, TPM, …) when you get to L8 IC (Senior Principal) at Amazon? It’s one of Amazon’s peculiarities. [Side note: in general, Amazon SDEs tend to be "jack of all trades" where we pragmatically do whatever is necessary to make our organization successful at that given moment (within reason). In fact, I believe being well-rounded and able and willing to wear a number of hats is one of the things that makes me valuable to an employer. We don’t over-index on "that’s not part of my role doc." Other companies where I worked (eg Google) have very clear swimming lanes and people stick to them pretty religiously, eg. "oh no I don’t talk to customers, I’m an SDE and talking to customers is for TPMs." Whereas at Amazon I never once had a manager tell me, "what you did (although impactful, important and necessary) was not really your job." ] My little side note about this critical piece of amazon culture explains why as you get to L8 the concept of a "role" no longer really makes sense. The boundaries between roles get fuzzier and fuzzier as you go from Senior Engineer (L6) to Principal Engineer (L7), and they become unimportant when you get to L8. We’re all just “Senior Principals” - whether you came via the SDE path, the TPM path, or in my snowflake case, the SDET path. In fact I think most L8s are snowflakes in that their path to L8 was unique and the value they bring to the company is also unique. In phonetool (our amazon directory) you can have whatever unofficial title you want (also within reason...), so I chose to keep the "SDET" title to reflect my background and passion for testing, engineering and operational excellence, and developer tools. I also hope that by keeping the title, others in my (old?) role can see that SDETs at Amazon do not have a "ceiling" in their career. And lastly, it's a fun conversational piece ("you're an L8 SDET???") (The image here is "Peccy" - a beloved little icon that has represented Amazon's Peculiar Ways for years) [Edit: Strictly speaking there are a few L8 IC roles that do have a different job code, like PMT or Scientist - but I think we generally view all L8 ICs in the same lens]

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Fun fact: StubHub, a multi-billion dollar e-commerce platform, is run by fewer than 200 engineers. 👨‍💻 👩‍💻 Many people I meet at networking events are surprised by this, yet it truly highlights the concentration of talent at our company. At StubHub, each engineer juggles multiple roles every week. From data engineering to working with large language models, developing backend system APIs, crafting Snowflake SQL procedures for analytics, to enhancing software observability—all while being on a rotating on-call schedule. This versatility not only fosters exponential growth and effective time management but also teaches us how to efficiently segment large projects into manageable weekly or quarterly parts. #TalentDensity #TechInnovation #SoftwareEngineering #DataEngineering #AI #ProjectManagement

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Good evening everyone, It was an opportunity to interact and learn from the two Product Operators at Rethink Systems headed by Shravan Tickoo. 1) Claire Vo, #Founder of ChatPRD, #CPO of LaunchDarkly, 2) Alisa Haman, #HeadOfGrowth, ChatPRD. Claire Vo has listed out certain attributes which are needed to become the great Product Operators. ✔ #RelentlessCuriosity - Curious to understand the things. ✔ - #WillingnesstoLearn - Learn from anyone whichever one do want to learn and embrace change. ✔ #BusinessAcumen - Build up your skills at your current position, keeping the Company's vision, understand the Economics, marketing and build the Organization Revenue and profits. ✔ #LowEgo - Builds a sense of good work culture and collaboration with cross-functional teams. ✔ As you grow up in the hierarchy of the Product Operations, you need to look at #Metrics that drives the business and achieving #OKRs. ✔ One of the top lines that Claire Vo has stated in discussion is "𝙋𝙧𝙤𝙙𝙪𝙘𝙩 𝙈𝙖𝙣𝙖𝙜𝙚𝙧 𝙞𝙨 𝙣𝙤𝙩 𝙝𝙞𝙧𝙚𝙙 𝙩𝙤 𝙨𝙩𝙚𝙥 𝙪𝙥 - 𝙤𝙣𝙚 𝙤𝙧 𝙩𝙬𝙤 𝙜𝙧𝙚𝙖𝙩 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨 - 𝙗𝙪𝙩 𝙩𝙤 𝙗𝙪𝙞𝙡𝙙 𝙖𝙣 𝙚𝙣𝙜𝙞𝙣𝙚 𝙩𝙝𝙖𝙩 𝙘𝙤𝙪𝙡𝙙 𝙙𝙧𝙞𝙫𝙚 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙤𝙫𝙚𝙧 𝙖𝙣𝙙 𝙤𝙫𝙚𝙧." Alisa Haman has expressed her thoughts ➡ Never say "That's not my job". Sometimes Product Manager has to go beyond ones duties and make people aligned even when its not your job. ➡ With the intervention of AI technology in the current market, the PM domain is changing, especially with ChatPRD. Thanks to Shravan Tickoo for always coordinating with the great Product leaders . 💐 Thank you Claire Vo and Alisa Haman for sharing your insights that helps to build products from 0 to 1. 💐 Thanks to all the folks - Nadisha Garg, VARUN KHANNA, Mittali R., Kevin Thomas, Nikhil Yadav and Garima Arora for great questions. #ProductDevelopment #artandproductmusings #ProductLeadership

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It’s been nearly half a year already as a Googler and still loving every minute! Sharing a glimpse into what my SWE work here looks like for the first time. ➤ Like 99% of engineers, I start my day by checking emails and my calendar. ➤ Contrary to what many people think, most of my time goes into writing System Design Docs instead of coding. ➤ Once done, I implement the design docs, run tests, and get my work reviewed. ➤ After the code is pushed to production, I collaborate and assist teams using the service and fix any bugs that arise. Overall, I've found that system design, problem-solving, communication, and collaboration are essential skills in this role. ✅ If you are also preparing for PBCs, I'd recommend focusing on these. You can also reach out to senior engineers who can help you build these skills and prepare for the interviews. They are even offering a FREE trial, so go ahead and book a session: https://lnkd.in/dr3g2X9B These SDEs at Preplaced will take complete responsibility for your preparation - building real-world projects, upskilling, mock interviews, resume creation and more till you reach your goals. 🚀 All the best! #6MonthsAtGoogle #SoftwareEngineer #Collab #PreplacedCollab #InterviewPreparation

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Today, I want to share how my workday looks like as an SDE 3 at Oracle 🚀 🎯 Morning Routine: Wake up at 7 AM, workout, and start my day at 10 AM with a team stand-up. 🎯 Core Work: Dive into feature implementation, tackle internal bug fixes, and address critical customer issues. I work primarily with Java and OCI. 🎯 Collaboration: Engage in meetings with other teams for upcoming features. I also have evening calls with US team members when needed. 🎯 Task Management: Handle various responsibilities including DevOps tasks, testing, and design discussions for new product features. 🎯 Work Strategy: Allocate time slots for focused work on bugs or features. When stuck, seek help and suggestions from colleagues. This role is quite different from my responsibilities at Infosys. It’s a significant change, but incredibly exciting. Switching from an SBC to a PBC has truly been one of my best career decisions. If you want to join a PBC like Oracle but struggling to clear the interviews, try connecting with senior engineers from top PBCs at Preplaced. You can connect with them for FREE here: https://lnkd.in/guq4EVd9 They will offer targeted guidance on skills and provide effective strategies for interview preparation, including resources and mock interviews. This support will boost your confidence and help you crack your dream role. 🌟 #adayinmylife #collab #preplacedcollab #sde3 #ad #sponsoredpost

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