Social Media Marketer

Job Role : Azure DevSecOps Engineer (Security-Focused)

Experience : 12 to 18 Years

Location : Preferably Delhi NCR (Hybrid); Remote possible with 1–2 office visits per quarter (Gurgaon)

Joining Timeline : Max 45 days (Buyout option available)

Work Mode : Full-time | 5 Days Working

About the Role :

We are looking for a highly experienced Azure DevSecOps Engineer with a strong focus on cloud security practices.

This role is 60–70% security-driven, involving threat modeling, secure cloud architecture, and infrastructure security on Azure using Terraform.

Key Responsibilities :

• Architect and maintain secure, scalable Azure cloud infrastructure using Terraform.
• Implement security best practices : IAM, threat modeling, network security, data protection, and compliance (e.g., GDPR).
• Build CI/CD pipelines and automate deployments using Azure DevOps, Jenkins, Prometheus.
• Monitor, analyze, and proactively improve security posture.
• Collaborate with global teams to ensure secure design, development, and operations.
• Stay updated on cloud security trends and lead mitigation efforts.

Mandatory Skills :

Azure, Terraform, DevSecOps, Cloud Security, Threat Modelling, IAM, CI/CD (Azure DevOps), Docker, Kubernetes, Prometheus, Infrastructure as Code (IaC), Compliance Frameworks (GDPR)

Preferred Certifications :

Certified DevSecOps Professional (CDP), Microsoft Azure Certifications

The role

A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.

How you will work

You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.

What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.

What we are looking for

Must have

• 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
• Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
• Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
• The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
• Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
• An eye for where a deployment turns into more business, and the willingness to raise it yourself
• Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
• Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
• The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

Job Description – Social Media Executive

Responsibilities

• Manage and publish engaging content across Instagram, Facebook, and LinkedIn
• Create blogs, website content, landing pages, and webinar invitations
• Post customized content regularly across groups and communities
• Coordinate with content writers and designers to deliver high-quality creative output
• Handle SEO optimization and leverage AI tools for video/content creation
• Plan and run ad campaigns across platforms
• Craft and distribute WhatsApp promotional messages
• Share and manage testimonials, Google feedback, and career resources (Career Book, Cluster Books, Tests, etc.)
• Ensure routine social media posting at regular intervals to maintain consistency
• 
  

Requirements

• Strong knowledge of social media platforms and content creation strategies
• Basic understanding of SEO and digital marketing practices
• Ability to use AI-based tools for video and content creation
• A creative mindset with strong attention to detail
• Good communication and coordination skills

Summary

We are seeking a highly skilled and motivated Software Engineer with expertise in both backend development and DevOps practices. The ideal candidate will have a proven track record of designing, developing, and deploying robust and scalable backend systems, while also possessing strong knowledge of cloud infrastructure and DevOps principles. This role requires a collaborative individual who thrives in a fast-paced environment and is passionate about building high-quality software.

Responsibilities

Design, develop, and maintain backend services using appropriate technologies.

Implement and maintain CI/CD pipelines.

Manage and monitor cloud infrastructure (e.g., AWS, Azure, GCP).

Troubleshoot and resolve production issues.

Collaborate with frontend developers to integrate backend services.

Contribute to the design and implementation of database schemas.

Participate in code reviews and ensure code quality.

Contribute to the improvement of DevOps processes and tools.

Write clear and concise documentation.

Stay up-to-date with the latest technologies and best practices.

Qualifications

Bachelor's degree in Computer Science or a related field.

3+ years of experience in backend software development.

2+ years of experience in DevOps.

Proficiency in at least one backend programming language (e.g., Java, Python, Node.js, Go).

Experience with cloud platforms (e.g., AWS, Azure, GCP).

Experience with containerization technologies (e.g., Docker, Kubernetes).

Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).

Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).

Strong understanding of database technologies (e.g., SQL, NoSQL).

Excellent problem-solving and debugging skills.

Strong communication and collaboration skills.

Bonus Points

Experience with specific technologies used by our company (list technologies if applicable).

Experience with serverless architectures.

Experience with infrastructure as code (e.g., Terraform, CloudFormation).

Contributions to open-source projects.

Relevant certifications.

About Company:

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. 

At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Responsibilities:

• Create, deploy, monitor, and maintain high performance and scalable microservices in the production.
• Design/develop Restful Services, data analysis, troubleshoot and resolve complex issues.
• Take end to end ownership for complex technical projects from planning through execution.
• Build, optimize, and manage ad solution Platform for the enterprise level. 
• Perform code review and manage technical debt
• Handle release deployments and production issues

Required Skills: 

• Overall 8+ years of experience in application development using Java with creating and deploying microservices using the Spring Boot framework.
• Strong experience in Maven.
• Good experience in unit(Junit) and integration testing.
• Experience in Microservices is a must.
• Experience in designing and developing REST based services / Microservice development.
• Experience with delivering projects in an agile environment using SCRUM methodologies.
• Candidate should have good communication skills (written and verbal)
• Excellent analytical and problem solving skills
• Any one of these database Mongo, Maria, RMQ, Postgres, or other NoSQL servers
• Experience in AWS and CI/CD

Good to have:

• Experience using container management tools such as Kubernetes, Docker and Rancher.

Job Description

We are looking for frontend web developers passionate towards building high-performance web applications who can carry out the responsibilities of the core tech team. It's an ideal opportunity for self-driven individuals who love to find innovative solutions.

Daily Responsibilities

• Build cutting edge application using React Native
• Build high quality, performance applications with a good understanding of code organisation.
• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write tests to ensure the product is of the highest quality.
• Application deployments on app store and play store.
• Taking the responsibility and ownership of the given tasks.

Requirements

• Firm grasp of the TypeScript language and its nuances, including ES6+ syntax
• Ability to write well-documented, clean TypeScript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Knowledge of object-oriented programming
• Familiarity with native build tools, like XCode, Gradle(Android Studio/IntelliJ)
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites, like Jest/Mocha
• Minimum work experience of 1.5-2 years

• 6+ years of experience in software design, development and deployment 
• Must have extensive experience in architecture, design and development on .NET framework, C#, WPF
•  Must have experience of relational database such as My SQL and MS SQL Server
• Must have experience in Web Services, SOAP, TCP
• Must have excellent experience in debugging, Problem Solving and root cause analysis 
• Must have experience on writing Nunit test cases
•  Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
•  Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
• Should have good experience of creating designs & design patterns.
• Lead and Mentor the team technically