PostgreSQL
Docker
PythonRole: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Capital Squared
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Javascript
React.js
NextJs (Next.js)PostgreSQLSenior Full-Stack Developer — Next.js / Supabase
Remote • Ongoing • Long-Term
We are building a custom technology platform that powers our artists, clients, bookings, event production, communications, and finances. The core application is already live — now we're looking for a senior full-stack developer to take ownership and help us finish, improve, and scale it.
The Stack
- Next.js / App Router
- TypeScript
- Tailwind CSS
- Supabase / PostgreSQL / Auth / RLS / Storage
- Vercel
- Twilio, Resend, BILL, OpenAI
- React Native / Expo planned for mobile
What You'll Do
Phase 1 — Finish the Platform
Complete the remaining client and financial systems, including:
- Client portal
- Event & music planning
- Timelines and documents
- Training portal
- QuickBooks integration
- Financial dashboards
- Workflow automation
- Reporting
Phase 2 — Own & Scale It
Once the platform is complete, you'll become a key technical owner — maintaining the system, fixing issues, shipping new features, and continuously improving the product as our team uses it in real-world operations.
What We're Looking For
You should be comfortable taking over an existing production codebase — not rebuilding it.
We need someone who:
- Is strong with Next.js, TypeScript, PostgreSQL, and Supabase
- Understands RLS and role-based permissions
- Can read, understand, and extend another developer's work
- Writes clean, maintainable code
- Documents technical decisions and implementation details
- Communicates clearly in English on video calls
- Can explain why they built something a certain way
- Works well from ClickUp tasks with defined acceptance criteria
- Takes ownership rather than waiting to be told every step
How We Work
We move fast, but we don't operate chaotically.
You'll work directly with the project owner and project manager. Work is broken into small, reviewable milestones, with clear objectives and acceptance criteria.
We value visible progress, clean documentation, thoughtful engineering, and accountability.
No disappearing for two weeks and showing up with a giant PR. We want to see the work evolve through commits and regular updates.
One Important Thing
This is not a greenfield project.
You're taking over a live application built by another developer. The architecture is solid and the infrastructure is clean, but documentation is partial. We expect a ramp-up period and have budgeted for it.
If your first instinct when joining an existing codebase is to say, "I'd rebuild this differently," this probably isn't the right role.
If your instinct is, "Let me understand what they've built, identify what's working, and make it better," we want to hear from you.
Long-Term Opportunity
After the web platform is complete, we're planning a native mobile application using React Native / Expo on the same backend.
This is intended to be an ongoing relationship for the right developer — not a one-off project.
To Apply
Tell us:
- What is the most complex existing codebase you've taken over?
- What did your first two weeks look like?
- How many hours per week are you available?
- What is your hourly or project rate?
We're looking for a senior developer who wants to take ownership, build something real, and stay with it long term.
Machine Learning (ML)
Amazon Web Services (AWS)We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.
The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.
Must have skills & Qualifications:
- 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
- Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
- Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
- Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
- Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
- Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
- Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
- Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
- Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
- Experience with feature engineering pipelines and Feature Store management.
- Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
- Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
- Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
- Strong foundation in Python and cloud-native development patterns.
- Solid understanding of security best practices, IAM, secrets management, and artifact governance.
Good to have skills:
- Experience with vector databases, RAG pipelines, or multi-agent AI systems.
- Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
- Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
- Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
- Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
- Ability to translate business goals into scalable AI/ML platform designs.
- Strong communication and cross-team collaboration skills.
- Ability to guide engineering teams through technical uncertainty and design choices.
Key Responsibilities:
- Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
- Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
- Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
- Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
- Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
- Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
- Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
- Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
- Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
- Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices.
Docker
KubernetesAmazon Web Services (AWS)Requirements
- 3+ years work experience writing clean production code
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation etc). High proficiency with Terraform / Terragrunt is absolutely critical
- Experience of setting CI/CD pipelines from scratch
- Experience with AWS(EC2, ECS, RDS, Elastic Cache etc), AWS lambda, Kubernetes, Docker, ServiceMesh
- Experience with ETL pipelines, Bigdata infra
- Understanding of common security issues
Roles / Responsibilities:
- Write terraform modules for deploying different component of infrastructure in AWS like Kubernetes, RDS, Prometheus, Grafana, Static Website
- Configure networking, autoscaling. continuous deployment, security and multiple environments
- Make sure the infrastructure is SOC2, ISO 27001 and HIPAA compliant
- Automate all the steps to provide a seamless experience to developers.
KubernetesDockerAmazon Web Services (AWS)True to its name, is on a mission to unlock $100+ billion of trapped working capital in the economy by creating India’s largest marketplace for invoice discounting to solve the day-to-day. problems faced by businesses. Founded by ex-BCG and ISB / IIM alumni, and backed by SAIF Partners, CashFlo helps democratize access to credit in a fair and transparent manner. Awarded Supply Chain Finance solution of the year in 2019, CashFlo creates a win-win ecosystem for Buyers, suppliers
and financiers through its unique platform model. CashFlo shares its parentage with HCS Ltd., a 25 year old, highly reputed financial services company has raised over Rs. 15,000 Crores in the market till date,
for over 200 corporate clients.
Our leadership team consists of ex-BCG, ISB / IIM alumni with a team of industry veterans from financial services serving as the advisory board. We bring to the table deep insights in the SME lending
space, based on 100+ years of combined experience in Financial Services. We are a team of passionate problem solvers, and are looking for like-minded people to join our team.
The challenge
Solve a complex $300+ billion problem at the cutting edge of Fintech innovation, and make a tangible difference to the small business landscape in India.Find innovative solutions for problems in a yet to be discovered market.
Key Responsibilities
As an early team member, you will get a chance to set the foundations of our engineering culture. You will help articulate our engineering
principles and help set the long-term roadmap. Making decisions on the evolution of CashFlo's technical architectureBuilding new features end to end, from talking to customers to writing code.
Our Ideal Candidate Will Have
3+ years of full-time DevOps engineering experience
Hands-on experience working with AWS services
Deep understanding of virtualization and orchestration tools like Docker, ECS
Experience in writing Infrastructure as Code using tools like CDK, Cloud formation, Terragrunt or Terraform
Experience using centralized logging & monitoring tools such as ELK, CloudWatch, DataDog
Built monitoring dashboards using Prometheus, Grafana
Built and maintained code pipelines and CI/CD
Thorough knowledge of SDLC
Been part of teams that have maintained large deployments
About You
Product-minded. You have a sense for great user experience and feel for when something is off. You love understanding customer pain points
and solving for them.
Get a lot done. You enjoy all aspects of building a product and are comfortable moving across the stack when necessary. You problem solve
independently and enjoy figuring stuff out.
High conviction. When you commit to something, you're in all the way. You're opinionated, but you know when to disagree and commit.
Mediocrity is the worst of all possible outcomes.
Whats in it for me
Gain exposure to the Fintech space - one of the largest and fastest growing markets in India and globally
Shape India’s B2B Payments landscape through cutting edge technology innovation
Be directly responsible for driving company’s success
Join a high performance, dynamic and collaborative work environment that throws new challenges on a daily basis
Fast track your career with trainings, mentoring, growth opportunities on both IC and management track
Work-life balance and fun team events
DockerKubernetesAmazon Web Services (AWS)Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.
Responsibilities:
• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.
• Configure and manage EC2 instances to meet application requirements.
• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.
• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.
• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.
• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.
• Implement and monitor S3 storage solutions for secure and scalable data storage
• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.
• Configure Route 53 for domain management, DNS routing, and failover configurations.
• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.
• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.
• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.
Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.
• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.
• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.
• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams.
• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.
Additional Information:
• We value creativity, innovation, and a proactive approach to problem-solving.
• We offer a collaborative and supportive work environment where your ideas and contributions are valued.
• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
KubernetesDocker|
Numerator is looking for an experienced, talented and quick-thinking DevOps Manager to join our team and work with the Global DevOps groups to keep infrastructure up to date and continuously advancing. This is a unique opportunity where you will get the chance to work on the infrastructure of both established and greenfield products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience. As a member of the Numerator DevOps Engineering team, you will make an immediate impact as you help build out and expand our technology platforms from on-premise to the cloud across a wide range of software ecosystems. Many of your daily tasks and engagement with applications teams will help shape how new projects are delivered at scale to meet our clients demands. This role requires a balance between hands-on infrastructure-as-code deployments with application teams as well as working with Global DevOps Team to roll out new initiatives. What you will get to do
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Requirements |
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Nice to have
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DockerKubernetesRequirements
NodeJS (Node.js)
MongoDB
GitAbout Us:
Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.
Varivas is an early-stage startup looking for its first few members.
https://www.varivas.community/
Become part of a core team of an upcoming startup building an exciting product from scratch.
Your Responsibilities:
- Write scalable backend code and audit existing backend code for sanity, performance and security
- Design and implementation of on-demand scalable, and performant applications.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Incidence management and root cause analysis
- Selecting and deploying appropriate CI/CD tools for various test automation frameworks
- Monitoring the processes during the entire lifecycle Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Achieve repeatability, fast recovery, best practices, and delegate proper ownership permissions to teams
- Analyzes the technology currently being used and develops plans and processes for improvement and expansion for better cost and efficiency
- Collaborate with and assist QA in performing load tests and assessing performance optimization
- writing and maintaining the DevOps processes in tools such as confluence
We are looking for someone who is:
- Ready to take complete ownership of the whole infra at Varivas
- Has previous experience in building and maintaining live production app
- You have an eye for detail.
- You’re a problem solver and a perpetual learner.
- You possess a positive and solution-oriented mindset.
- Good Problem-solving skills and troubleshooting
- Build high-performing web and native applications that are robust and easy to maintain
Our Current DevOps stack:
- Github/bitbucket
- Azure cloud storage
- MongoDB Atlas
- JIRA
- Selenium, cypress test automation
- Heroku/digital ocean
- GoDaddy
- Google Analytics/search console
- SendGrid
- sentry.io
- hotjar
What we can offer:
- Payment for work done (of course 🙂)
- Remote work from anywhere
- part time or full time engagement
- Complete flexibility of working hours
- Complete freedom and ownership of your work
- No meetings, standups, or daily status group calls. (We prefer asynchronous communication like slack)
Amazon Web Services (AWS)
JenkinsCurrently, Indus OS has a user base of over 12+ Million on the back of 10+ smartphone brand partnerships with leading OEMs such as Samsung, Gionee, iTel, Micromax, Intex, Karbonn, and others. The Indus platform is available in English & 23 Indian regional languages and is intended to digitally connect the next 1 billion people in the emerging markets.
Indus App Bazaar: Indus also has its very own app market place called Indus App Bazaar with over 400,000 applications. Indus App Bazaar is India's largest indigenous app store available in 12 languages, designed to suit specific requirements of the Indian consumers. The recent partnership with Samsung will see Indus App Bazaar power Samsung's new Galaxy Apps Store in all Samsung Devices. With this partnership, we will be able to reach a user base of over 150 Million by 2021.
Indus OS in News:
Bloomberg: http://bloom.bg/2adsFRB
Financial Express: http://bit.ly/29FDQg5
Economic Times: http://bit.ly/2ayTvD4
https://bit.ly/2JgL3JU
https://yourstory.com/2019/07/startup-funding-indus-os-samsung-venture" target="_blank">https://yourstory.com/2019/07/startup-funding-indus-os-samsung-venture
Key Responsibilities
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
- Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
- Data management skills
Education :
- Degree in Computer Engineering or Computer Science or 2-5 years equivalent experience in systems administration or DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
- Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
- The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings etc.
- Work with intelligent, fun and interesting people in a dynamic start-up environment.
PHPJavascriptNodeJS (Node.js)
Express
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon