Tech Industry Job Roles

Around March, I was tasked to Hire 2 DevOps Engineers for a start-up company in Kolkata. During lunch with the Founder, he casually asked: "Sandip da, what do you generally look into when Hiring DevOps Engineers?" I said: "I look for traits such as being generalists, tinkerers, and “glue people” who integrate various system components seamlessly." What did I mean by this?: 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐬𝐭𝐬: Versatile professionals who can handle a wide array of tools and technologies, adapting swiftly to the ever-evolving landscape. 𝐓𝐢𝐧𝐤𝐞𝐫𝐞𝐫𝐬: Individuals driven by curiosity and a passion for continuous learning, always exploring new ways to optimize and innovate. 𝐆𝐥𝐮𝐞 𝐏𝐞𝐨𝐩𝐥𝐞: Experts at integrating various system components, ensuring everything works seamlessly together. Let's be honest here and have a look at the below list of tech tools commonly used by DevOps Engineers in their Day-to-Day work life: Version Control: Git, GitHub, GitLab, Bitbucket CI/CD: Jenkins, CircleCI, Travis CI, GitLab CI, Bamboo, TeamCity Configuration Management: Ansible, Puppet, Chef, SaltStack Containerization: Docker, Podman Orchestration: Kubernetes, Docker Swarm, Apache Mesos, Nomad Cloud Providers: AWS, Google Cloud Platform (GCP), Microsoft Azure, IBM Cloud, Oracle Cloud Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Azure Resource Manager (ARM), Pulumi Monitoring and Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Nagios, Zabbix, Datadog, New Relic Automation and Scripting: Bash, PowerShell, Python, Ruby, Go Security and Compliance: HashiCorp Vault, AWS IAM, Aqua Security, Snyk, Clair Collaboration and Communication: Slack, Microsoft Teams, Jira, Confluence, Trello Build Tools: Maven, Gradle, Ant, Make Artifact Management: JFrog Artifactory, Nexus Re WOW, As the industry rapidly evolves, so do the tools and technologies we utilize. To keep pace, a DevOps Engineer must be a generalist, continuously learning and adapting while excelling at system integration. In your career, focus on being versatile, curious, and integrative. These qualities will set you apart and ensure your success in the dynamic field of DevOps. Cheers, Sandip Das #DevOps #TechHiring #CareerGrowth #ContinuousLearning

One question haunts every ambitious tech professional: Specialist or generalist? The wrong answer stalls your career for years. Generalists wear every hat. Specialists know one thing inside out. Tech careers throw both types into the same pond and see who swims. Here's my take. If you're early in your career, go broad. Learn across domains. Build pattern recognition. Get a taste for what you hate and what you love. But if you want to stand out? You eventually need a spike. One core area you're known for. One problem you solve better than anyone. The best tech professionals are T-shaped. Deep expertise in one area (the vertical line), with enough breadth to collaborate across domains (the horizontal line). You need the zoom-in focus to solve hard problems, and the zoom-out perspective to solve the right ones. People who never specialise end up as "jack of all trades, master of none." People who specialise too soon get boxed in and their careers stall. Go wide, then go deep. That's how you build a future-proof career in tech. ——— ♻ Repost to help others find this post ➕ Follow Prasad Rao to excel in your cloud and AI career

Where did all the cyber analyst jobs go? It’s tough out there, especially for junior analysts. So what’s going on? - SOAR is having a moment. I’m watching our toolsets evolve every day—automation, prevention, orchestration at every layer. SOAR is in, and it’s doing more of the heavy lifting. - LLMs are shaking the foundation. Know what’s open on my screen at all times? Teams, email… and an LLM. These models are changing how we solve problems, make decisions, and consume information. The shift is already here. - Risk acceptance is real. The volume of alerts is wild. At some point, it’s just not worth paying humans to chase 10,000 low-threat pings a day. Leaders are asking: what’s truly worth action? So what’s an aspiring SOC analyst to do? - Upskill. Learn SOAR. Python. Cloud. Risk. Automation. Adapt to the new tools and show your value. - Pivot. Threat hunting, red teaming, AI ops, cyber program management—opportunities exist, but they’re shifting fast. - Lead. We’ll always need smart leaders with technical backgrounds who can translate security into business value. Own the mission! And bonus, network, network, network! The analyst role isn’t dying. The work hasn’t disappeared, it’s just evolving. And we need to evolve with it. What do you think? P.S. Notice I didn’t say “build a home lab.” That’s not where the gap is anymore. #CybersecurityCareers #analyst #AIinSecurity #CyberLeadership

Telecom networks used to be judged mainly by speed and coverage. Today they also carry something deeper: trust, because more and more parts of society and the economy rely on them as operational backbones. Telecom operators now support far more than connectivity. Their networks sit underneath payments, healthcare, mobility, public services, industrial systems, and daily business activity. When communication networks stop being simple utilities and start supporting essential operations, reliability is no longer enough on its own. Trust enters the picture. That is why this shift matters. Reliability matters because networks must keep working during congestion, outages, cyber incidents, and emergency conditions. Data protection matters because privacy, identity, encryption, and access controls now travel across connected services every day. Transparency matters because people, companies, and institutions want clear visibility into service quality, incident handling, and responsibility. Resilience matters because essential services need telecom infrastructure that can absorb shocks and continue operating under pressure. The role of telecom is expanding quietly but decisively. They are helping keep communication alive, but they are also helping keep society and the economy functioning when continuity matters most. #telecom #CreateImpact

In this AI “new age,” the generalist will beat the specialist. ESPECIALLY in early career spaces and entry level jobs. I write an early careers newsletter called “the inside track 🏎️💨🏁” and every single week I curate over 100 unique early career opportunities i.e. internships, fellowships, programs, new grad jobs, etc. In other words, I spend at least 4 hours per week combing through job boards and career websites. Lately, I’ve noticed 1 common trend emerging – an uptick of internship and new grad job opportunities with titles and job descriptions that are more generalist or out-of-the-box as well as roles that require a combination of technical and humanities skills/competencies. Some examples: 🌟 LinkedIn’s “Associate Product Builder” FT Role – a program that combines product, design, and engineering into a role tailor-made for AI-native teams.  🌟 Atlassian’s Creative Operations Internship – a role that sits under marketing/creative, but requires literacy in AI tools, proficiency in automations, and data analytics tools.  🌟 IBM’s Technical Writer Internship – a role where the primary responsibilities are content creation, content management, and research but requires proficiency in version control, human-computer interaction design, and programming 🌟 Adobe’s Research Web Design and Development Internship – a role that sits under research and primarily focuses on web development/design but is seeking a journalism or communications major with some coursework in computer science.   🌟 Netflix’s Creative Innovation Internship – a role that supports storytelling & production but centers around technically evaluating how Generative (AI) Media tools can be used at Netflix So what does that mean for current students and upcoming new grads?  The bottom of the career ladder is being completely redesigned. The job market prioritizes AI literacy, creativity, and adaptability. This is (IMO) how students and new grads can prepare themselves for the shifting job market: → Diversify and customize your education. “Customized degree” programs have been on the rise for a while i.e. USC Iovine, NYU Gallatin, but you can do this at almost any school with additional majors, minors, and electives → Pursue different types of experiences even those that seem “out of your lane” – ex. I was a CS major but did venture capital fellowships, pitch competitions, and case competitions → In terms of upskilling, go wide – in a world of work where certain job responsibilities and tasks are being swiftly replaced or obsoleted, the best characteristic you can have it the ability to learn fast PLUS, AI has essentially lowered the barrier to learning ANYTHING i.e. content creation, software engineering, etc. 👋 If we’ve never met before, hi, I’m Morgan – I’m a content creator who creates media around the intersection of tech/ai, career/work, and education. Hit that +Follow button for more career tips, career stories, and AI/future of work takes.

Cybersecurity Career Tips #1 If you want to enter the cybersecurity field, it’s not enough to just pick a list of courses, complete them, generate certificates, and think the job will come naturally. And it’s definitely not just about adding certifications to your resume that’s only one step in the process. It’s essential to learn what is applied in real work contexts. You don’t need to study C if you’ll never use it in your daily tasks. Your studies should be aligned with your actual needs. My first recommendation if you want to become a cybersecurity professional is to understand what the market is looking for. Analyze open positions in your region or remote roles, define the requirements for each position, and identify the practical skills you need. Platforms such as HackTheBox, TryHackMe, PortSwigger Academy, PentesterLab, and Root-Me are excellent for hands-on learning. I strongly recommend investing your time in acquiring real-world skills. Write write-ups, share your journey here on LinkedIn or other networks, build personal projects and publish them on GitHub, connect with other professionals, and expand your network both online and at industry events. Also, develop your soft skills. Communication is critical, even in a job interview. Being able to translate technical issues into business impact is just as important as technical knowledge. A common way to start a career is by working in consulting firms. There are many opportunities at different seniority levels. It may not be your dream job, but it opens doors. Prepare your resume for the positions you aim for and highlight the key points that match the role especially if specific knowledge is required. A resume will only be considered if it demonstrates the right skills, relevant training or certifications (to validate your expertise), and professional autonomy. And don’t limit your job search to LinkedIn. It’s great for networking, but when it comes to landing jobs, explore alternatives. Target companies that interest you and check their career pages many positions are never posted on LinkedIn. Above all, stay focused. Don’t try to learn everything at once. Concentrate on what will land you your first job, and then expand your knowledge base to increase your seniority or pivot to other areas. But the real secret lies in how you communicate and sell your work your knowledge, your problem-solving mindset, and your ability to handle situations consistently. #CyberSecurity #InfoSec #CareerAdvice #Hacking #TechJobs #SoftSkills

How to Stand Out in Cybersecurity Without Stacking Certs Skills >> Certs My advice for standing out 1 - Master Hands-On Skills - Employers look for real-world experience, not just theoretical knowledge. - Set up a home lab, explore platforms like TryHackMe and Hack The Box, and work on practical security challenges. - Hands-on experience with SIEMs, EDRs, and cloud security tools will set you apart. 2 - Build Thought Leadership - Sharing knowledge is just as important as gaining it. Write blog posts on security topics, break down complex concepts on LinkedIn, or contribute to open-source security projects. 3 - Create a Cybersecurity Portfolio on GitHub - A strong portfolio speaks louder than a certification. Document your security projects, scripts, and research in a GitHub repository. - Whether it's writing detection rules, automating security tasks, or demonstrating exploit research, showcasing real work helps you stand out to recruiters and hiring managers. 4 - Create a Course or Tutorial - Teaching is one of the best ways to establish credibility in cybersecurity. Create a short course, video tutorial, or step-by-step guide on a cybersecurity concept you’ve mastered. - Platforms like YouTube, Udemy, or a personal blog are great places to start. Helping others learn positions you as an expert and opens doors to new opportunities. A strong cybersecurity career is built on hands-on skills, a solid portfolio, and the ability to share knowledge effectively. If you focus on these areas, you can succeed in cybersecurity—CISSP or not.

Think you know what it takes to land an IT Project Manager role in 2025? Think again. I analyzed 164 real job postings across the U.S. and Canada. The results paint a clear—and unexpected—picture of what hiring managers actually want in 2025. If you're aiming to land a more strategic or better-paying IT PM role, this might change your approach. Here's what the market is really asking for 👇 ▶️ The Role Looks the Same on Paper, But It's Not IT Project Manager can mean: • Leading cybersecurity transformations • Migrating cloud platforms without breaking production • Managing AI/ML systems nobody understands yet • Running ERP upgrades that touch every department ✔️ If your resume sounds generic, you're invisible. You need to show domain expertise and business impact. ▶️ Where the Real Opportunities Are Forget "tech companies." Everyone's hiring IT PMs now: • Healthcare (digital transformation) • Finance (legacy modernization) • Government (security overhauls) • Consulting (client rescues) ✔️ They don't want template followers. They want PMs who can navigate chaos without a playbook. ▶️ The Remote Dream Is Dying • 53% hybrid • 27% on-site • 20% remote ✔️Translation: If you're banking on remote-only, you're fishing in a shrinking pond. ▶️ Salary Benchmarks (U.S.-Weighted) • Typical range: $106K–$159K • Senior/specialized roles: $160K–$299K • Canadian salaries: Align proportionally with mid-to-senior U.S. roles ▶️ What Skills Are in Demand? ✔️ Hard Skills: • Agile (49%) – table stakes • Cybersecurity (42%) – the new gold • Infrastructure (30%) – servers, networks, IT systems • Cloud: Azure (13%), AWS (9%) – adoption still growing • Tools: Jira, Confluence, DevOps, SDLC, ERP (SAP) • AI/ML projects: 16% – trend to watch • DevOps & CI/CD – often mentioned alongside Agile • ERP expertise – strong in enterprise transformation roles 🧠 Tech literacy is no longer optional—it's a positioning advantage. Knowing how these systems drive value is what separates the top 10%. ✔️ Certifications: • PMP (51%) • Scrum Master (11%) • Others: ITIL, AWS, CISSP—rarely required, but can complement your story ✔️ Soft Skills • Communication (77%) • Leadership (72%) • Stakeholder management (33%) • Collaboration, adaptability, strategic thinking ▶️ Strategic Takeaways 1- Generic PMs are getting filtered out. If your resume reads like a task list, you're losing interviews to PMs who speak in outcomes and impact. 2- Certifications alone don't differentiate you. The PMP signals credibility. But what closes offers is context, how you applied what you know to drive real change. 3- IT PMs must specialize. Same title, wildly different expectations. You must position yourself by domain—cloud, infra, cybersecurity, SaaS, ERP—not just by title. 📌 Ready to position yourself for a high-impact IT PM role in 2025? → Go to the top comment and apply to work with me 1:1. → Repost ♺ to help others in your network. Follow Jesus Romero for weekly PM career strategies.

Is the AI Revolution Shifting Developers from Specialists to Generalists? 2020: We love specialists 2024: We love generalists In the rapidly evolving tech landscape, there's a notable shift from specialist to generalist roles for developers. Deloitte’s recent Technology Skills Insights report underscores the high demand for full-stack developers (FSDs), essential for navigating complex cloud environments and integrating emerging technologies like AI and ML. Stack Overflow’s data further reveals a trend where developers are expanding their skill sets, blurring the lines between distinct roles and moving towards a more generalist approach. David Epstein’s concept from "RANGE" captures this shift perfectly. We're transitioning from 'kind' environments with clear rules and repetitive patterns that favor specialists, to 'wicked' ones with obscure data, no rules, constant change and abstract ideas that reward adaptable generalists. The AI revolution, along with advancements in Large Language Models (LLMs), has accelerated this trend. Developers are now becoming tech generalists, balancing front-end creativity with back-end logic and embracing the abstract concepts introduced by AI and ML. So, how are we broadening our skills to meet the demand for a more generalist approach in tech?

Your project management career isn't over. It's evolving. AI isn't taking your job. It's upgrading it. The project manager of 2026 leads differently... More strategic. Less tactical. Here are 10 project management roles that will explode with AI adoption: ↳ AI-Augmented Project Manager: Uses AI for planning and monitoring. Focuses human time on strategy and stakeholder alignment. ↳ AI Implementation PM: Leads projects where the deliverable is an AI solution. Ensures it solves real problems, not just "AI theater." ↳ AI Product / Program Manager: Owns the roadmap for AI initiatives. Prioritizes. Measures impact by business outcomes, not just delivery. ↳ Data-Informed Project Strategist: Interprets AI-generated insights. Connects data to decisions. Helps execs make smart choices. ↳ AI PMO Lead / Portfolio Manager: Modernizes the Project Management Office for AI. Defines standards. Upskills the team on AI tools. ↳ AI Change & Adoption PM: Manages the human side of AI rollouts. Communication. Training. Ensures AI actually gets used. ↳ Responsible AI Delivery Manager: Ensures AI projects meet ethical, risk, and compliance rules. Privacy, bias, auditability. ↳ Workflow & Automation Designer: Redesigns processes around AI. Maps current state. Identifies automation opportunities. ↳ Human-Centric Delivery Lead: Leans into facilitation and alignment. AI handles documentation. Humans do the deep thinking to make it executable. ↳ AI Skills & Capability Enablement PM: Builds internal AI expertise. Designs learning programs. Gets teams ready for AI. AI isn't a threat. It's permission to do more meaningful work. The mundane tasks are gone. The strategic thinking remains. Your move. I am demo'ing how you can position yourself using our PM Operating system at 11am CST today- registration link in comments!