Senior product designer top b2b saas company only

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description – .Net Full Stack Developer

Job Title: Senior .NET Full Stack Developer

Location: Pune (3–4 Days Work from Office)

Experience: 4–8 Years

Job Summary

We are looking for a skilled and motivated Senior .NET Full Stack Developer with 4–8 years of experience in designing, developing, and deploying scalable enterprise applications. The ideal candidate should have strong expertise in .NET Core, React, and Kubernetes, with exposure to AWS being an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.
• Collaborate with business stakeholders, product owners, and technical teams to gather and translate requirements into technical solutions.
• Write clean, maintainable, and high-quality code following best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 4–8 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and Microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as EC2, EKS, S3, Lambda, CloudWatch, or IAM.
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

Senior DevOps Engineer

AWS Infrastructure, Kubernetes & Production Operations

📍 Mumbai (On-site) | Full-time | 5-8 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior DevOps Engineer for a dedicated client engagement building an AI platform that turns a written prompt into a working, deployed web application.

The platform runs entirely on our own Kubernetes on AWS in Mumbai: multiple clusters, self-hosted Kafka, PostgreSQL, Redis and a complete observability stack, with untrusted AI-generated code executing inside isolated sandboxes.

This role owns that infrastructure end to end.

The mandatory requirement is hands-on production ownership of self-managed Kubernetes and self-hosted stateful services.

This is not a managed-services role: almost nothing here is a click in a console, and there is no platform team above you to escalate to.

You will pair daily with the Tech Architect who owns the architecture, and you own its execution, which covers clusters, networking, pipelines, observability, isolation, and the monthly cloud bill as a number you can explain line by line.

The role carries a deliberate path into LLM infrastructure over the first year, and we are saying so up front because we want someone who wants that direction.

A typical week includes rehearsing a cluster upgrade in a lower environment, tracing an unexplained cost line to its source, tuning autoscaling so non-production shuts down cleanly overnight, and hardening the boundary that keeps AI-generated code away from everything else.

Responsibilities:

Kubernetes Platform Ownership

Own multiple EKS clusters separated by trust boundary, covering platform services, messaging, sandboxed build environments, and hosting for customers' published applications.

Node pools, taints and tolerations, resource requests versus limits, pod disruption budgets, and the scheduling decisions that determine whether a cluster is efficient or merely large.

Plan and execute version upgrades without customer-visible downtime.

Infrastructure as Code

Everything in Terraform, with no console changes that are not in code.

Build reusable cluster modules rather than copies.

Keep state and reality in sync, and treat drift as a defect.

CI/CD and Release Engineering

Own the GitHub Actions pipelines and self-hosted runners: OIDC-based AWS authentication with no stored credentials, image builds, and rollouts across development, QA and UAT.

Move manifest templating from scripted substitution to Kustomize or Helm.

Make a rollback as routine as a deploy.

Network Architecture and Workload Isolation

VPC and subnet design, ingress through load balancers and service mesh, and eBPF-based network policy.

The platform runs code we did not write, so the isolation boundary is a primary deliverable: default-deny egress, kernel-level sandboxing for untrusted workloads, no platform credentials inside tenant pods, and one project per pod with nothing shared between customers.

Observability

Operate a self-hosted stack of Prometheus, Grafana, Loki, Tempo, OpenTelemetry and Alertmanager.

Build alerts engineers trust rather than mute.

Know what belongs in a metric, a log and a trace, and keep metric cardinality under control as tenant count grows.

Autoscaling and Capacity

Node autoscaling with Karpenter, and workload autoscaling on the signal that actually matters, which is queue depth or a schedule rather than CPU wherever CPU misleads.

Implement scale-to-zero across non-production and warm-pool patterns where cold starts are unacceptable.

Size capacity from measurement, not assumption.

Cost Operations

Own the cloud bill as an engineering artifact.

Attribute spend per cluster and per environment, right-size against real utilisation, apply Spot where interruption is safe and never where it is not, and investigate any line you cannot explain.

Instance family selection is a cost decision: match the family to the resource that binds first.

Self-Hosted Stateful Services

Operate Kafka, PostgreSQL and Redis in-cluster, covering persistence, replication, failover, upgrades, and backups you have actually restored from.

Rehearse the restore and record how long it took.

Security Posture

IAM and workload identity, migration away from static credentials, secret management, web application firewall rules, and closing the gaps you find.

Credential rotation and least privilege are ongoing work, not a one-time project.

AI Infrastructure (Growth Path)

Within the first year, take on the infrastructure serving AI workloads: multi-provider LLM gateway and routing, token and cost attribution, rate-limit-aware capacity planning, LLM tracing with Langfuse, vector databases such as pgvector and Qdrant, and self-hosted embedding models including GPU nodes on Kubernetes.

This is inference operations, not model training.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on Production Ownership of Self-Managed Kubernetes (Mandatory)

Must have personally operated a production Kubernetes estate with operational responsibility including oncall, incident response, and upgrade ownership.

You understand why a cluster ends up over-provisioned and how to fix it.

Managed-platform-only experience, or Kubernetes limited to deploying into a cluster someone else runs, does not qualify.

5+ Years of Overall Engineering Experience

With at least 3 years in DevOps, SRE, or platform engineering.

This is not an ML science role.

A strong infrastructure background with genuine appetite for AI infrastructure is exactly the profile we want.

Proven Ability to Learn an Unfamiliar Technology to Production Depth

We are hiring for trajectory as much as for current tooling, so this carries real weight.

Be ready to walk us through something you picked up from scratch and then owned in production: what you got wrong in the first attempt, how you found out, and what you would do differently.

A candidate with a shorter tool list and a strong record of learning will be preferred over a longer list learned only at the surface.

Self-Hosted Stateful Services in Production

One or more of Kafka, PostgreSQL, Redis, or Elasticsearch operated by you, not by a managed service.

Backups, restores, failover, and version upgrades.

This matters more than any other line here, because almost everything we run, we run ourselves.

Infrastructure as Code Depth

Terraform in anger, including modules, state management, and recovering from drift.

Docker and image optimisation.

AWS at Depth

EKS, EC2, VPC, IAM, S3, RDS or Aurora, and load balancing.

You can read a bill and explain where the money went.

Networking Depth

VPC and subnet design, NAT and egress paths, load balancer behaviour, DNS, TLS, and Kubernetes networking.

Able to reason about address exhaustion and routing limits before they are hit rather than after.

Observability Depth

Production experience with Prometheus, Grafana, and a log or trace backend.

Comfortable instrumenting with OpenTelemetry.

Able to define alerts that are actionable and to resist the cardinality that makes a metrics system collapse.

CI/CD and Deployment Automation

Strong with GitHub Actions or GitLab CI, including self-hosted runners and short-lived cloud credentials.

Experience making deploys and rollbacks safe and routine.

Cost Management for Cloud Infrastructure

Demonstrated ownership of a cloud bill: right-sizing, reserved capacity or savings plans, Spot strategy, and tracing an anomaly to its cause.

Reliability Engineering

Comfortable defining SLOs and being accountable for them.

Experience with graceful shutdown, connection draining, disruption budgets, and long-lived connections such as WebSockets that autoscaling can otherwise sever.

Nice to Have:

• arm64 and Graviton estates
• eBPF networking with Cilium
• container runtime isolation such as gVisor, Kata, or Firecracker
• Kafka operations including partition and consumer-group management
• service mesh with Istio
• GPU workloads on Kubernetes
• hands-on familiarity with LLM observability tooling such as Langfuse or LangSmith
• India data-protection and residency requirements under the DPDP Act
• AWS certifications

We are looking for an experienced Cloud & DevOps Engineer to join our growing team. The ideal candidate should have hands-on expertise in cloud platforms, automation, CI/CD, and container orchestration. You will be responsible for building scalable and secure infrastructure, optimizing deployments, and ensuring system reliability in a fast-paced environment.

Responsibilities

• Design, deploy, and manage applications on AWS / GCP.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
• Manage containerized workloads with Docker & Kubernetes.
• Implement Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure and operational tasks using Python/Shell scripts.
• Set up monitoring & logging (Prometheus, Grafana, CloudWatch, ELK).
• Ensure security, scalability, and high availability of systems.
• Collaborate with development and QA teams in an Agile/DevOps environment.

Required Skills

• AWS, GCP (cloud platforms)
• Terraform (IaC)
• Docker, Kubernetes (containers & orchestration)
• Python, Bash (scripting & automation)
• CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Monitoring & Logging (Prometheus, Grafana, CloudWatch)
• Strong Linux/Unix administration

Preferred Skills (Good to Have)

• Cloud certifications (AWS, Azure, or GCP).
• Knowledge of serverless computing (AWS Lambda, Cloud Run).
• Experience with DevSecOps and cloud security practices.

HR Operations Executive

Location - Andheri, Mumbai

Work from office

10 am to 7 pm (Mon to Sat)

Please note only looking for an immediate joiner.

Requirements:

• Bachelor's degree in human resources.
• Minimum 3- 5 years of relevant experience in human resources.
• Additional training/certification in Payroll Management - may be advantageous.
• Full understanding of HR functions and best practices.
• Well-versed with HRMS
• Onboarding and Exit formalities
• Well-versed with the entire Payroll Cycle
• HR documentation
• Employee grievances
• Prepare and maintain employee master (MIS) (Good with excel)
• Good with drafting letters and policies

Sr. Software Developer ( 4years – 5years)

Required:

1. Extensive experience in Ruby on Rails (4-5)years, software designing and architecture.
2. Experience in microservice architecture (2-3)years
3. Experience in Elastic Search/Redis/Sidekiq
4. Experience in writing Rspec Test cases
5. Experience in cloud services such as AWS
6. Experience in Postgres/Mysql, Database Modelling
7. Excellent problem solving capabilities

Good To have:

1. Experience in design pattern
2. Experience in managing teams

This is a part-time / Freelance opportunity

Vai Ra is a fine jewelry start-up based in Hyderabad. Founded in 2022, we are a digital-first D2C brand offering lab-grown diamond and moissanite jewelry. We are looking for a part-time/freelance digital marketing consultant who will work closely with the founders to drive the digital marketing activities.

Sales are the lifeline for a start-up, so ROAS and sales will be the main KPI. All the efforts of the person in this role should focus on maximizing sales through our campaigns. This will also fuel your growth within the organization. This role requires creative thinking to design profitable sales campaigns outside the "big agency" thought process. Our key performance indicator is Return on Ad Spend (ROAS) with a target of 12X. This target is achievable given our product range from 35k to 1 lac.

What would you be doing?

• Develop interactive ads with the available creative content. Our primary source of the content is photos and videos of real products (not photoshoots with models). You should be able to use these materials to build, test, and run your creative campaigns.
• Create interactive landing pages using Shopify-compatible apps
• Manage Google Ads and Meta ads campaigns independently, from strategy to optimization. You should be able to take complete ownership of the campaigns. Your performance will be measured by the sales reflected in your weekly dashboards.
• Manage email, WhatsApp, and SMS campaigns. These campaigns need to be designed daily, and you should be able to show revenue and Click-Through Rate (CTR) for them, similar to other paid advertising campaigns.
• Campaign management and optimization will be an integral part of this role. You should have good domain knowledge to detect and rectify technical problems across all ad tech tools, such as Google, Meta, and Bik.
• Implement exit popups, generate leads, and use these leads to create FOMO campaigns in regular intervals

Domain skills you must have to apply for this role:

• Google Ads
• Google Analytics
• Meta Facebook Business Manager
• Bik or similar marketing platforms
• Shopify

Other requirement for the role:

• You should be able to design sales campaigns that sell. We don't spend millions on campaigns. So you should be able to set aside the vanity metrics and be creative enough to create campaigns that mean the most for a startup
• You should be able to do everything from strategizing to running the campaigns without much supervision. Just like you, we dislike micromanagement.
• You’re organized with a high attention to detail: You’ll be managing all our ad campaigns

Experience

• 1-2 years experience in a performance marketer role
• Experience in managing campaigns for a luxury/lifestyle brand with high ticket orders is highly preferable
• Ability to work remotely (This is as much a skill as a perk)

Time commitment

• 20 hours per week

Why should you apply

• You will be our first digital marketer with a scope of making a great impact on a growing company
• Join a small team where every idea matters and a place that can take your skills to the next level
• Have an inside view of how D2C marketing works