#cloud devops engineer

[kamalkafir-blog]

Trainee Developer

Job title: Trainee Developer Company: Mortgage Advice Bureau Job description: As a growing technology function, we now have an opportunity for a Trainee Developer to join us at a pivotal point… next step in our journey as we evolve as a business. We currently use: New developments built using the latest C# NET 6… Expected salary: £27000 per year Location: Derby Job date: Sun, 29 Jun 2025 05:18:05…

[iromtechnologies]

Product Engineering in Software Engineering: Latest Trends

Explore how Product Engineering in Software Engineering drives innovation with AI, cloud, low-code, and modern development trends.

Building digital products today requires more than just good code. As a result, companies are shifting to smarter product development methods. As businesses strive to meet rising customer expectations, they often seek help from a software product engineering services company.

These companies combine technology, design, and strategy to bring innovation faster and more reliably.

Therefore, let’s explore how product engineering in software engineering is evolving and what trends are shaping its future.

Why Product Engineering in Software Engineering Drives Modern Products

The idea behind product engineering in software engineering is to build digital products that solve real problems quickly and efficiently. Rather than creating products in silos, teams now work together using shared goals, fast feedback, and constant iteration.

Continuous Discovery

First of all, product teams no longer wait months to understand customer needs. Instead, they perform weekly research sprints to validate every new idea. These discoveries reduce rework and help create user-focused solutions from day one. Furthermore, continuous discovery aligns the product vision with real-time market shifts.

Secure by Design

In the past, security was a final step in the product life cycle. Now, developers integrate security scans into their daily coding process. This proactive approach prevents threats and saves time on future fixes. Additionally, building security from the start improves trust and reduces compliance risks………….

[olivergisttv]

How to Successfully Transition to a Cloud Computing Career Now in 2025

Cloud computing is no longer a niche—it’s the backbone of nearly every industry. In 2025, cloud infrastructure powers everything from streaming services and e-commerce platforms to AI models and virtual workspaces. And that means cloud computing careers are not only in demand—they’re essential. Whether you’re coming from software development, IT support, or a completely different field, here’s…

[motivalogic]

DevOps Training Ireland | MotivaLogic Academy

Advance your tech career with DevOps training in Ireland at MotivaLogic Academy. Our practical curriculum is designed to equip you with in-demand DevOps skills including CI/CD, automation, cloud infrastructure, Docker, Kubernetes, and more. Learn from industry experts through real-world projects and gain the confidence to excel in high-paying DevOps roles. Ideal for IT professionals, developers, and system admins looking to upgrade their skills in the evolving DevOps landscape. Join today and get certified with MotivaLogic Academy! Visit now- https://www.motivalogic.com/

[techsagaus]

Product Engineering Services for Modern Software Solutions

Modern software solutions take a comprehensive approach to designing, developing, testing, and maintaining software products throughout their lifecycle. This covers everything from initial product ideation and strategy to post-launch support and ongoing improvements. A product engineering services company plays a vital role in this process, assisting businesses in developing robust, scalable, and user-friendly software that meets market demands and user needs. Innovation is now necessary and no longer optional.

That’s where product engineering services play a transformative role. By bridging the gap between idea and execution, these services enable organizations to launch, scale, and maintain robust software solutions in a competitive landscape. From startups aiming to disrupt markets to enterprises modernizing legacy systems, the demand for intelligent, scalable, and agile software continues to grow rapidly. Fortunately, with the right approach to product engineering, even complex ideas can be transformed into high-performing digital products.

Importance of Product Engineering for Modern Software Solutions

To begin with, product engineering services cover the entire lifecycle of a software product, from ideas and design to development, testing, deployment, and maintenance. This comprehensive approach ensures that products are not only functional and user-friendly but also scalable and ready for the future.

Moreover, these services are typically offered by specialized teams with diverse skills, allowing for agile practices, rapid prototyping, and quicker time-to-market. Whether it’s mobile apps, SaaS platforms, enterprise tools, or IoT systems, product engineering plays a vital role in building the digital foundation of modern businesses………….

[evisiontechnoserve]

Fastest Growing IT Roles in India 2025 Edition

Step into the most in-demand tech careers of 2025 with Evision Technoserve! Explore top career paths such as Cloud Administrator, Cybersecurity Analyst, AI & Data Science Engineer, Full Stack Developer, and DevOps Engineer. Gain real-world experience through hands-on projects and learn directly from industry mentors. Evision’s expert-led training programs are designed to fast-track your IT career with 100% placement assistance. Don’t miss out on exciting internship and job opportunities

[nikhilvaidyahrc]

Highest Paying IT Jobs in India in 2025: Roles, Skills & Salary Insights

Published by Prism HRC – Best IT Job Consulting Company in Mumbai

India's IT sector is booming in 2025, driven by digital transformation, the surge in AI and automation, and global demand for tech talent. Whether you're a fresher or a seasoned professional, knowing which roles pay the highest can help you strategize your career growth effectively.

This blog explores the highest-paying IT jobs in India in 2025, the skills required, average salary packages, and where to look for these opportunities.

Why IT Jobs Still Dominate in 2025

India continues to be a global IT hub, and with advancements in cloud computing, AI, cybersecurity, and data analytics, the demand for skilled professionals is soaring. The rise of remote work, startup ecosystems, and global freelancing platforms also contributes to higher paychecks.

1. AI/ML Engineer

Average Salary: ₹20–40 LPA

Skills Required:

Python, R, TensorFlow, PyTorch

Deep learning, NLP, computer vision

Strong statistics and linear algebra foundation

Why It Pays Well:

Companies are pouring investments into AI-powered solutions. From chatbots to autonomous vehicles and predictive analytics, AI specialists are indispensable.

2. Data Scientist

Average Salary: ₹15–35 LPA

Skills Required:

Python, R, SQL, Hadoop, Spark

Data visualization, predictive modelling

Statistical analysis and ML algorithms

Why It Pays Well:

Data drives business decisions, and those who can extract actionable insights are highly valued. Data scientists are among the most sought-after professionals globally.

3. Cybersecurity Architect

Average Salary: ₹18–32 LPA

Skills Required:

Network security, firewalls, encryption

Risk assessment, threat modelling

Certifications: CISSP, CISM, CEH

Why It Pays Well:

With rising cyber threats, data protection and infrastructure security are mission critical. Cybersecurity pros are no longer optional—they're essential.

4. Cloud Solutions Architect

Average Salary: ₹17–30 LPA

Skills Required:

AWS, Microsoft Azure, Google Cloud

Cloud infrastructure design, CI/CD pipelines

DevOps, Kubernetes, Docker

Why It Pays Well:

Cloud is the backbone of modern tech stacks. Enterprises migrating to the cloud need architects who can make that transition smooth and scalable.

5. Blockchain Developer

Average Salary: ₹14–28 LPA

Skills Required:

Solidity, Ethereum, Hyperledger

Cryptography, smart contracts

Decentralized app (dApp) development

Why It Pays Well:

Beyond crypto, blockchain has real-world applications in supply chain, healthcare, and fintech. With a limited talent pool, high salaries are inevitable.

6. Full Stack Developer

Average Salary: ₹12–25 LPA

Skills Required:

Front-end: React, Angular, HTML/CSS

Back-end: Node.js, Django, MongoDB

DevOps basics and API design

Why It Pays Well:

Full-stack developers are versatile. Startups and large companies love professionals who can handle both client and server-side tasks.

7. DevOps Engineer

Average Salary: ₹12–24 LPA

Skills Required:

Jenkins, Docker, Kubernetes

CI/CD pipelines, GitHub Actions

Scripting languages (Bash, Python)

Why It Pays Well:

DevOps reduces time-to-market and improves reliability. Skilled engineers help streamline operations and bring agility to development.

8. Data Analyst (with advanced skillset)

Average Salary: ₹10–20 LPA

Skills Required:

SQL, Excel, Tableau, Power BI

Python/R for automation and machine learning

Business acumen and stakeholder communication

Why It Pays Well:

When paired with business thinking, data analysts become decision-makers, not just number crunchers. This hybrid skillset is in high demand.

9. Product Manager (Tech)

Average Salary: ₹18–35 LPA

Skills Required:

Agile/Scrum methodologies

Product lifecycle management

Technical understanding of software development

Why It Pays Well:

Tech product managers bridge the gap between engineering and business. If you have tech roots and leadership skills, this is your golden ticket.

Where are these jobs hiring?

Major IT hubs in India, such as Bengaluru, Hyderabad, Pune, Mumbai, and NCR, remain the hotspots. Global firms and unicorn startups offer competitive packages.

Want to Land These Jobs?

Partner with leading IT job consulting platforms like Prism HRC, recognized among the best IT job recruitment agencies in Mumbai that match skilled candidates with high-growth companies.

How to Prepare for These Roles

Upskill Continuously: Leverage platforms like Coursera, Udemy, and DataCamp

Build a Portfolio: Showcase your projects on GitHub or a personal website

Certifications: AWS, Google Cloud, Microsoft, Cisco, and niche-specific credentials

Network Actively: Use LinkedIn, attend webinars, and engage in industry communities

Before you know

2025 is shaping up to be a landmark year for tech careers in India. Whether you’re pivoting into IT or climbing the ladder, focus on roles that combine innovation, automation, and business value. With the right guidance and skillset, you can land a top-paying job that aligns with your goals.

Prism HRC can help you navigate this journey—connecting top IT talent with leading companies in India and beyond.

- Based in Gorai-2, Borivali West, Mumbai - www.prismhrc.com - Instagram: @jobssimplified - LinkedIn: Prism HRC

[acquaintsofttech]

Trends to Follow for Staunch Scalability In Microservices Architecture

Scalability in microservices architecture isn’t just a trend—it’s a lifeline for modern software systems operating in unpredictable, high-demand environments. From streaming platforms handling millions of concurrent users to fintech apps responding to real-time transactions, scaling right means surviving and thriving.

As a software product engineering service provider, we’ve witnessed how startups and enterprises unlock growth with a scalable system architecture from day 1. It ensures performance under pressure, seamless deployment, and resilience against system-wide failures.

And as 2025 brings faster digital transformation, knowing how to scale smartly isn’t just beneficial—it’s vital.

At Acquaint Softtech, we don’t just write code—we craft scalable systems!

Our team of expert engineers, DevOps specialists, and architectural consultants work with you to build the kind of microservices infrastructure that adapts, survives, and accelerates growth.

Let Talk!

Why Scalability in Microservices Architecture Is a Game-Changer

Picture this: your product’s user base doubles overnight. Traffic spikes. Transactions shoot up. What happens?

If you're relying on a traditional monolithic architecture, the entire system is under stress. But with microservices, you’re only scaling what needs to be scaled! 

That’s the real power of understanding database scalability in microservices architecture. You’re not just improving technical performance, you’re gaining business agility!

Here’s what that looks like for you in practice:

Targeted Scaling: If your search service is flooded with requests, scale that single microservice without touching the rest!

Fail-Safe Systems: A failure in your payment gateway won’t crash the whole platform—it’s isolated.

Faster Deployments: Teams can work on individual services independently and release updates without bottlenecks.

📊 Statistics to Know:

According to a 2024 Statista report, 87% of companies embracing microservices list scalability as the #1 reason for adoption—even ahead of speed or modularity. Clearly, modern tech teams know that growth means being ready. 

Scalability in microservices architecture ensures you’re ready—not just for today’s demand but for tomorrow’s expansion. 

But here’s the catch: achieving that kind of flexibility doesn’t happen by chance! 

You need the right systems, tools, and practices in place to make scalability effortless. That’s where staying updated with current trends becomes your competitive edge!

Core Principles that Drive Scalability in Microservices Architecture

Understanding the core fundamentals helps in leveraging the best practices for scalable system architecture. So, before you jump into trends, it's essential to understand the principles that enable true scalability. 

Without these foundations, even the most hyped system scalability tools and patterns won’t get you far in digital business!

1. Service Independence

It's essential for each microservice to operate in isolation. Decoupling allows you to scale, deploy, and debug individual services without impacting the whole system.

2. Elastic Infrastructure

Your system must incorporate efficient flexibility with demand. Auto-scaling and container orchestration (like Kubernetes) are vital to support traffic surges without overprovisioning.

3. Smart Data Handling

Scaling isn’t just compute—it’s efficient and smart data processing. Partitioning, replication, and eventual consistency ensure your data layer doesn’t become the bottleneck.

4. Observability First

Monitoring, logging, and tracing must be built in within every system to be highly scalable. Without visibility, scaling becomes reactive instead of strategic.

5. Built-in Resilience

Your services must fail gracefully, if its is destined to. Circuit breakers, retries, and redundancy aren’t extras—they’re essentials at scale.

These principles aren’t optional—they’re the baseline for every modern system architecture. Now you’re ready to explore the trends transforming how teams scale microservices in 2025!

Top Trends for Scalability in Microservices Architecture in 2025

As microservices continue to evolve, the focus on scalability has shifted from simply adding more instances to adopting intelligent, predictive, and autonomous scaling strategies. In 2025, the game is no longer about being cloud-native—it’s about scaling smartly!

Here are the trends that are redefining how you should approach scalability in microservices architecture.

🔹 1. Event-Driven Architecture—The New Default

Synchronous APIs once ruled microservices communication. Today, they’re a bottleneck. Event-driven systems using Kafka, NATS, or RabbitMQ are now essential for high-performance scaling.

With asynchronous communication:

Services don’t wait on each other, reducing latency.

You unlock horizontal scalability without database contention.

Failures become less contagious due to loose coupling.

By 2025, over 65% of cloud-native applications are expected to use event-driven approaches to handle extreme user loads efficiently. If you want to decouple scaling from system-wide dependencies, this is no longer optional—it’s foundational.

🔹 2. Service Mesh for Observability, Security, & Traffic Control

Managing service-to-service communication becomes complex during system scaling. That’s where service mesh solutions like Istio, Linkerd, and Consul step in. 

They enable:

Fine-grained traffic control (A/B testing, canary releases)

Built-in security through mTLS

Zero-instrumentation observability

A service mesh is more than just a networking tool. It acts like the operating system of your microservices, ensuring visibility, governance, and security as you scale your system. According to CNCF's 2024 report, Istio adoption increased by 80% year-over-year among enterprises with 50+ microservices in production.

🔹 3. Kubernetes Goes Fully Autonomous with KEDA & VPA

Though Kubernetes is the gold standard for orchestrating containers, managing its scaling configurations manually can be a tedious job. That’s where KEDA (Kubernetes Event-Driven Autoscaling) and VPA (Vertical Pod Autoscaler) are stepping in.

These tools monitor event sources (queues, databases, API calls) and adjust your workloads in real time, ensuring that compute and memory resources always align with demand. The concept of the best software for automated scalability management say that automation isn't just helpful—it’s becoming essential for lean DevOps teams.

🔹 4. Edge Computing Starts to Influence Microservices Design

As latency-sensitive applications (like real-time analytics, AR/VR, or video processing) become more common, we’re seeing a shift toward edge-deployable microservices!

Scaling at the edge reduces the load on central clusters and enables ultra-fast user experiences by processing closer to the source. By the end of 2025, nearly 40% of enterprise applications are expected to deploy at least part of their stack on edge nodes. 

🔹 5. AI-Powered Scaling Decisions

AI-driven autoscaling based on the traditional metrics ensures a more predictive approach. Digital platforms are now learning from historical traffic metrics, usage patterns, error rates, and system load to:

Predict spikes before they happen

Allocate resources preemptively

Reduce both downtime and cost

Think: Machine learning meets Kubernetes HPA—helping your system scale before users feel the lag. Great!

Modern Database Solutions for High-Traffic Microservices

Data is the bloodstream of your system/application. Every user interaction, transaction, or API response relies on consistent, fast, and reliable access to data. In a microservices environment, things get exponentially more complex as you scale, as each service may need its separate database or shared access to a data source.

This is why your choice of database—and how you architect it—is a non-negotiable pillar in the system scaling strategy. You're not just selecting a tool; you're committing to a system that must support distributed workloads, global availability, real-time access, and failure recovery!

Modern database systems must support:

Elastic growth without manual intervention

Multi-region deployment to reduce latency and serve global traffic

High availability and automatic failover

Consistency trade-offs depending on workload (CAP theorem realities)

Support for eventual consistency, sharding, and replication in distributed environments

Now, let’s explore some of the top database solutions for handling high traffic—

MongoDB

Schema-less, horizontally scalable, and ideal for rapid development with flexible data models.

Built-in sharding and replication make it a go-to for user-centric platforms.

Cassandra

Distributed by design, Cassandra is engineered for write-heavy applications.

Its peer-to-peer architecture ensures zero downtime and linear scalability.

Redis (In-Memory Cache/DB)

Blazing-fast key-value store used for caching, session management, and real-time analytics.

Integrates well with primary databases to reduce latency.

CockroachDB 

A distributed SQL database that survives node failures with no manual intervention. 

Great for applications needing strong consistency and horizontal scale.

YugabyteDB 

Compatible with PostgreSQL, it offers global distribution, automatic failover, and multi-region writes—ideal for SaaS products operating across continents.

PostgreSQL + Citus

Citus transforms PostgreSQL into a horizontally scalable, distributed database—helpful for handling large analytical workloads with SQL familiarity.

Amazon Aurora

A managed, high-throughput version of MySQL and PostgreSQL with auto-scaling capabilities. 

Perfect for cloud-native microservices with relational needs.

Google Cloud Spanner

Combines SQL semantics with global horizontal scaling.

Offers strong consistency and uptime guarantees—ideal for mission-critical financial systems.

Vitess

Used by YouTube, Vitess runs MySQL underneath but enables sharding and horizontal scalability at a massive scale—well-suited for read-heavy architectures.

Bottomline

Scaling a modern digital product requires more than just technical upgrades—it demands architectural maturity. Scalability in microservices architecture is built on clear principles of—

service independence, 

data resilience, 

automated infrastructure, and 

real-time observability.

Microservices empower teams to scale components independently, deploy faster, and maintain stability under pressure. The result—Faster time to market, better fault isolation, and infrastructure that adjusts dynamically with demand.

What truly validates this approach are the countless case studies on successful product scaling from tech companies that prioritized scalability as a core design goal. From global SaaS platforms to mobile-first startups, the trend is clear—organizations that invest early in scalable microservices foundations consistently outperform those who patch their systems later.

Scalability in microservices architecture starts with the right foundation—not reactive fixes. Consult the software experts at Acquaint Softtech to assess and align your system for scale. Contact us now to start building with long-term resilience in mind.

Get in Touch

FAQs

1. What is scalability in microservices architecture?

Scalability in microservices architecture refers to the ability of individual services within a system to scale independently based on workload. This allows you to optimize resource usage, reduce downtime, and ensure responsiveness during high-traffic conditions. It enables your application to adapt dynamically to user demand without overburdening the entire system.

2. Why are databases critical in scalable architectures?

A scalable system is only as strong as its data layer. If your services scale but your database can't handle distributed loads, your entire application can face performance bottlenecks. Scalable databases offer features like replication, sharding, caching, and automated failover to maintain performance under pressure.

3. What are the best practices for automated scalability?

Automated scalability involves using tools like Kubernetes HPA, KEDA, and VPA to auto-adjust resources based on real-time metrics. Best practices also include decoupling services, setting scaling thresholds, and implementing observability tools like Prometheus and Grafana. We just disclosed them all in the blog above!

4. Are there real-world case studies on successful product scaling?

Yes, many leading companies have adopted microservices and achieved remarkable scalability. For instance, Netflix, Amazon, and Uber are known for leveraging microservices to scale specific features independently. At Acquaint Softtech, we’ve also delivered tailored solutions backed by case studies on successful product scaling for startups and enterprises alike. Get in touch with our software expert to know more!

[kamalkafir-blog]

AI Engineer (AI Factory) - Financial Services, AI Scaling and Transformation, Technology & Transformation

Job title: AI Engineer (AI Factory) – Financial Services, AI Scaling and Transformation, Technology & Transformation Company: Deloitte Job description: services industry. Relevant industry certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI Engineer… to your skills and professional experience Technical Proficiency: Proven experience with Python and popular AI/ML…

[devopsenlight]

Hands-On DevOps Projects: Master Jenkins, Docker, AWS & More

Take your DevOps skills to the next level with real-world projects covering essential tools like Jenkins, Terraform, Docker, Kubernetes, AWS services (EC2, VPC, EKS, Route53, and more). Explore practical deployments like three-tier web applications, e-commerce platforms, WordPress sites, and CI/CD automation using Jenkins and Terraform. Dive deep into cloud services, monitoring with Grafana, and advanced deployment strategies in AWS and EKS. Perfect for DevOps enthusiasts looking to gain hands-on experience in a variety of technologies.

[blackmoreops]

Netflix's Chaos Monkey: Embracing Failure for Resilience

Chaos Monkey is an innovative tool developed by Netflix as part of their Simian Army suite of testing tools. It deliberately introduces failures into your cloud infrastructure to test system resilience and recovery capabilities. Chaos Monkey works by randomly terminating instances in your production environment. This might sound counterintuitive, but by forcing failures to occur, it helps…

[thelovebudllc]

The Career and Contributions of Venkata Gudelli in Cloud Engineering and DevOps

— Venkata Gudelli is an experienced cloud engineer with a strong focus on AWS cloud services, infrastructure automation, and DevOps practices. With a proven track record in deploying and managing cloud-based applications, his work has played a significant role in enhancing operational efficiencies and supporting complex cloud environments. He is skilled in working with various tools such as…

[hiringjournal]

The Future of Kubernetes: Why Hiring Skilled Developers is Crucial

Kubernetes has revolutionized cloud-native development emerging as the go-to platform for orchestration. With the rising shift among SaaS businesses to cloud-based infrastructure, the need for skilled Kubernetes developers is pacing forth. 

When considering hiring these professionals, securing the right talent is the key to seamless deployment, scalability, and automation. Kubernetes serves a vital role in optimizing resource management and improving system reliability. Let’s understand this claim in detail.

How Skilled Kubernetes Developers Drive Cloud Scalability, Automation, and Efficiency

The rising importance of Kubernetes

As the industry standard for container orchestration, Kubernetes allows companies to: 

Automate containerized application deployment, scaling, and administration.

Enhance the resilience of applications by incorporating self-healing features.

Reduce infrastructure expenses by optimizing the use of cloud resources.

Businesses want Kubernetes experts that can efficiently manage these intricate infrastructures due to the growing popularity of hybrid and multi-cloud systems.

The need for skilled Kubernetes developers

Although Kubernetes makes cloud operations easier, there is a significant learning curve. Hiring Kubernetes developers guarantees: 

Secure setups to stop breaches and unwanted access. 

Correct cluster setup and maintenance to eliminate performance bottlenecks.

For continuous deployment, seamless connectivity with CI/CD pipelines is essential.

In order to provide high availability and smooth growth for SaaS organizations, skilled Kubernetes engineers are essential.

Where to find top-tier developers

It can be difficult to get top-tier Kubernetes talent because of the strong demand. Examine these possibilities for hiring:

Freelance Platforms: Skilled contract Kubernetes developers are available on Upwork and Toptal.

Job Portals: Full-time professionals can be found on Indeed, Glassdoor, and LinkedIn.

Tech Communities: Participate in discussions with Kubernetes specialists on CNCF, Stack Overflow, and GitHub.

Specialized Recruitment: Hiring cloud engineers and Kubernetes experts fast is possible when you work with agencies. Uplers is one such platform that offers you the top 3.5% talent AI-vetted from its 1.5M+ network within 48 hours. 

The role of DevOps and cloud engineers in Kubernetes

A Kubernetes specialist doesn't work in isolation. To create automated workflows and CI/CD pipelines, they frequently cooperate with: 

DevOps engineers.

Cloud engineers to oversee Kubernetes installations on Google Cloud, AWS, or Azure.

You might also need to hire DevOps engineers to improve automation and security if your business depends significantly on cloud infrastructure.

Future trends in Kubernetes 

Businesses need to keep up with the latest developments in Kubernetes as it advances: 

AI and Machine Learning Integration — Automating Workload Optimization.

Serverless Kubernetes: It simplifies development operations.

Improved Security Features: Increasing threat detection and compliance.

By utilizing these developments, SaaS companies guarantee cloud operations' effectiveness, scalability, and security.

Closing Words

Kubernetes has a bright future, but only if companies invest in the right people. Having qualified experts is essential, whether you need to engage cloud engineers for infrastructure optimization or hire Kubernetes developers for managing containerized workloads. Kubernetes is more than simply a tool for SaaS firms; it is the cornerstone of scalable, robust, and reasonably priced cloud applications.

[hiremeeltd]

Full Stack Developer Assessments

A full stack developer assessments for software developer who deals with both the Frontend (client-side) and Backend (server-side) of the product. Visit: https://hiremee.co.in/solutions/talent-assessments/industry-specific-assessments