Kubernetes Jobs in Bangladesh.
All active Kubernetes roles based in Bangladesh.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Software Engineer, Platform - Chittagong, Bangladesh
Share this job
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Lead MLOps Engineer
Share this job
Lead MLOps Engineer
Location: Bangladesh, South Asia (Remote)
Department: Software Engineering
Reporting to: Engineering Lead
ABOUT NEXGEN CLOUD:
NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature.
We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like.
THE ROLE: Lead MLOps Engineer
This role exists because Hyperstack is scaling its AI cloud platform and building out the infrastructure that powers production ML workloads for thousands of customers. As AI Studio capabilities grow and the platform takes on increasingly complex training, fine-tuning, and inference workloads, we need someone to own the MLOps layer — the systems, tooling, and practices that make large-scale AI workloads reliable, observable, and repeatable in production. You'll have direct ownership over ML platform reliability, deployment workflow engineering, and the operational standards that underpin how AI workloads run on Hyperstack end to end.
This is a lead individual contributor role. You'll set the technical direction for MLOps on the platform, work directly with Product and Engineering, and take end-to-end ownership of the systems that make AI workloads run in production.
WHAT YOU'LL BE DOING:
Rather than a long checklist, here's what success in this role looks like:
- Own the design, implementation, and evolution of core MLOps systems across Hyperstack — including the infrastructure and workflows that underpin AI Studio
- Build and improve systems that orchestrate model training, fine-tuning, evaluation, and deployment — engineered for long-running, resource-intensive GPU workloads
- Own production readiness across ML infrastructure — monitoring, alerting, incident response, and continuous improvement based on real-world usage
- Define and embed strong MLOps practices across teams — model versioning, reproducibility, deployment safety, rollback strategies, and environment management
- Provide technical leadership through architecture decisions, implementation guidance, and shared standards — working closely with Product, Engineering, and cross-functional teams
ABOUT YOU:
We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following:
Essential
- Proven experience designing, building, and operating production ML infrastructure, platform systems, or MLOps workflows in cloud environments
- Hands-on Python development skills, with experience building backend systems, automation, and developer or platform tooling
- Experience supporting LLM, generative AI, or fine-tuning workflows in production — including training, evaluation, deployment, inference, and lifecycle management
- Production-grade experience with Docker, Kubernetes, CI/CD, and infrastructure-as-code in real, operational environments
- Experience owning complex, asynchronous, or resource-intensive workloads end to end — including orchestration, reliability, observability, and incident response
- Ability to work cross-functionally and provide technical leadership through influence — shaping standards, direction, and ways of working across engineering teams
Nice to Have
- Exposure to GPU-intensive, distributed, or performance-sensitive ML workloads
- Experience building internal developer platforms or tooling that improve experimentation, reproducibility, and delivery speed for ML teams
- Background in cloud infrastructure, platform products, or technically complex B2B software
WHAT WE OFFER:
- Competitive salary and annual discretionary bonus scheme
- Employee wellbeing benefits
- 25 days of holiday, plus public holidays
- Flexible working arrangements (remote or hybrid, depending on role and location)
- Real ownership and autonomy, with the trust to take initiative and experiment
- The opportunity to make a visible, meaningful impact as we scale
- Clear career progression and growth opportunities in a fast-growing company
- A collaborative, international culture built on trust, transparency, and ownership
- The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues
MORE INFORMATION
Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.
Ready to apply?
Apply to NexGen Cloud