
Apply here: https://forms.gle/DefR28CvNfepJT3o6
Roles and Responsibilities:
You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include:
- Infrastructure Maintenance & Optimization
- Design and review data pipeline diagrams for both client and internal projects
- Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks
- Monitor data pipeline performance and proactively raise alarms and fix issues
- Maintain and upgrade Goalkeep’s internal tech infrastructure
- Monitor infrastructure costs to identify inefficiencies and recommend cost-saving strategies across cloud services and tech subscriptions
- Internal Tech Enablement & SupportProvide tech setup and troubleshooting support to internal teams and analysts so that we can successfully deliver on client projects
- Assist with onboarding new team members onto Goalkeep systems
What we’re looking for:
Hard Skills:
- Data modeling and database management (PostgreSQL, MySQL, or SQL Server)
- Installing and maintaining software on Linux systems
- Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must
- Ability to troubleshoot based on system logs and performance indicators
- Data engineering: writing efficient SQL, designing pipelines
Soft Skills & Mindsets:
- Curiosity and accountability when investigating system issues
- Discipline to proactively maintain and monitor infra
Must-Know Tools:
- SQL (any dialect)
- Knowledge of software engineering best practices and version control (Git)
Preferred Qualifications:
- Engineering degree with a minimum 2 years of experience working as a data scientist /data analyst
- Bachelor's degree in any STEM field
What’s in it for you?
- The chance to work at the intersection of social impact and technology.
- Learn and grow in areas such as cloud infrastructure, data governance, and data engineering.
- Be part of a close-knit team passionate about using data for good.

About Goalkeep
About
At Goalkeep, our mission is to get every organization should be able to measure, communicate, deepen their impact with confidence
Candid answers by the company
We’ve been tackling these challenges for the past five years by connecting the worlds of monitoring and evaluation, technology, and learning and development.
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We’re a team that hustles—plain and simple. But we also believe life outside work matters. No cubicles, no suits—just great people doing great work in a space built for comfort and creativity.
Here’s what we offer:
💰 Competitive salary – Get paid what you’re worth.
🌴 Generous paid time off – Recharge and come back sharper.
🌍 Work with the best – Collaborate with top-tier global talent.
✈️ Adventure together – Annual offsites (mostly outside India) and regular team outings.
🎯 Performance rewards – Multiple bonuses for those who go above and beyond.
🏥 Health covered – Comprehensive insurance so you’re always protected.
⚡ Fun, not just work – On-site sports, games, and a lively workspace.
🧠 Learn and lead – Regular knowledge-sharing sessions led by your peers.
📚 Annual Education Stipend – Take any external course, bootcamp, or certification that makes you better at your craft.
🏋️ Stay fit – Gym memberships with equal employer contribution to keep you at your best.
🚚 Relocation support – Smooth move? We’ve got your back.
🏆 Friendly competition – Work challenges and extracurricular contests to keep things exciting.
We work hard, play hard, and grow together. Join us.
(P.S. We hire for talent, not pedigree—but if you’ve worked at a top tech co or fintech startup, we’d love to hear how you’ve shipped great products.)
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
Description
Do you dream about code every night? If so, we’d love to talk to you about a new product that we’re making to enable delightful testing experiences at scale for development teams who build modern software solutions.
What You'll Do
Troubleshooting and analyzing technical issues raised by internal and external users.
Working with Monitoring tools like Prometheus / Nagios / Zabbix.
Developing automation in one or more technologies such as Terraform, Ansible, Cloud Formation, Puppet, Chef will be preferred.
Monitor infrastructure alerts and take proactive action to avoid downtime and customer impacts.
Working closely with the cross-functional teams to resolve issues.
Test, build, design, deployment, and ability to maintain continuous integration and continuous delivery process using tools like Jenkins, maven Git, etc.
Work in close coordination with the development and operations team such that the application is in line with performance according to the customer's expectations.
What you should have
Bachelor’s or Master’s degree in computer science or any related field.
3 - 6 years of experience in Linux / Unix, cloud computing techniques.
Familiar with working on cloud and datacenter for enterprise customers.
Hands-on experience on Linux / Windows / Mac OS’s and Batch/Apple/Bash scripting.
Experience with various databases such as MongoDB, PostgreSQL, MySQL, MSSQL.
Familiar with AWS technologies like EC2, S3, Lambda, IAM, etc.
Must know how to choose the best tools and technologies which best fit the business needs.
Experience in developing and maintaining CI/CD processes using tools like Git, GitHub, Jenkins etc.
Excellent organizational skills to adapt to a constantly changing technical environment

About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
This person MUST have:
- Min of 3-5 prior experience as a DevOps Engineer.
- Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
- Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
- Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
- Experience managing AWS infrastructure
- Hands on experience of Linux administration.
- Basic understanding of Kubernetes/Docker orchestration
- Works closely with engineering team for day to day activities
- Manges existing infrastructure/Pipelines/Engineering tools (On Prem or AWS) for engineering team (Build servers/Jenkin nodes etc.)
- Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
- Works closely with engineering team for improving existing pipelines for build .
- Troubleshoots problems across infrastructure/services
Experience:
- Min 5-7 year experience
Location
- Remotely, anywhere in India
Timings:
- 40 hours a week (11 AM to 7 PM).
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!
Hello superstar,
I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......
I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.
I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;
- We choose the most appropriate technology
- We choose competent developers in those technologies
- The architecture and data modeling are clearly defined in a ‘blueprint’ plan
- A DevOps environment and processes are set up and the developers understand what is required
- Proper tests are carried out to ensure everything works as intended
- There are processes for testers to follow and competent testers are selected to follow them
- Accessibility, localization, and internationalization are planned ahead of time
- Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
- Documentation and code reviews, refactoring and other quality assurance processes are undertaken
- Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
- Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications
I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.
Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response. I look forward to hearing from you.
Warm wishes DevOps Evangelist,

