Senior DevOps Engineer - Lightning Job By Cutshort ⚡

Role: 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.

We are seeking an experienced Operations Lead to drive operational excellence and lead a dynamic team in our fast-paced environment. The ideal candidate will combine strong technical expertise in Python with proven leadership capabilities to optimize processes, ensure system reliability, and deliver results.

Key Responsibilities

• Team & stakeholder leadership - Lead 3-4 operations professionals and work cross-functionally with developers, system administrators, quants, and traders

• DevOps automation & deployment - Develop deployment pipelines, automate configuration management, and build Python-based tools for operational processes and system optimization

• Technical excellence & standards - Drive code reviews, establish development standards, ensure regional consistency with DevOps practices, and maintain technical documentation

• System operations & performance - Monitor and optimize system performance for high availability, scalability, and security while managing day-to-day operations

• Incident management & troubleshooting - Coordinate incident response, resolve infrastructure and deployment issues, and implement automated solutions to prevent recurring problems

• Strategic technical leadership - Make infrastructure decisions, identify operational requirements, design scalable architecture, and stay current with industry best practices

• Reporting & continuous improvement - Report on operational metrics and KPIs to senior leadership while actively contributing to DevOps process improvements

Qualifications and Experience

• Bachelor's degree in Computer Science, Engineering, or related technical field
• Proven experience of at least 5 years as a Software Engineer including at least 2 years as a DevOps Engineer or similar role, working with complex software projects and environments.
• Excellent knowledge with cloud technologies, containers and orchestration.
• Proficiency in scripting and programming languages such as Python and Bash.
• Experience with Linux operating systems and command-line tools.
• Proficient in using Git for version control.

Good to Have

• Experience with Nagios or similar monitoring and alerting systems
• Backend and/or frontend development experience for operational tooling
• Previous experience working in a trading firm or financial services environment
• Knowledge of database management and SQL
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with DevOps practices and CI/CD pipelines
• Understanding of network protocols and system administration

Why You’ll Love Working Here

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.)

Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code

SUMMARY:-

• Implement integrations requested by customers
• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code

Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening

Ability to understand business requirements and translate them into technical requirements

Job Description: DevOps Engineer 

About Hyno:

Hyno Technologies is a unique blend of top-notch designers and world-class developers for new-age product development. Within the last 2 years we have collaborated with 32 young startups from India, US and EU to to find the optimum solution to their complex business problems. We have helped them to address the issues of scalability and optimisation through the use of technology and minimal cost. To us any new challenge is an opportunity.

As part of Hyno’s expansion plans,Hyno, in partnership with Sparity, is seeking an experienced DevOps Engineer to join our dynamic team. As a DevOps Engineer, you will play a crucial role in enhancing our software development processes, optimising system infrastructure, and ensuring the seamless deployment of applications. If you are passionate about leveraging cutting-edge technologies to drive efficiency, reliability, and scalability in software development, this is the perfect opportunity for you.

Position: DevOps Engineer

Experience: 5-7 years

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement CI/CD pipelines for automated application deployment, testing, and monitoring.
• Manage and maintain cloud infrastructure using tools like AWS, Azure, or GCP, ensuring scalability, security, and high availability.
• Develop and implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and management of resources.
• Constantly evaluate continuous integration and continuous deployment solutions as the industry evolves, and develop standardised best practices.
• Work closely with development teams to provide support and guidance in building applications with a focus on scalability, reliability, and security.
• Perform regular security assessments and implement best practices for securing the entire development and deployment pipeline.
• Troubleshoot and resolve issues related to infrastructure, deployment, and application performance in a timely manner.
• Follow regulatory and ISO 13485 requirements.
• Stay updated with industry trends and emerging technologies in the DevOps and cloud space, and proactively suggest improvements to current processes.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).
• Minimum of 5 years of hands-on experience in DevOps, system administration, or related roles.
• Solid understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
• Strong experience with cloud platforms such as AWS, Azure, or GCP, including services like ECS, S3, RDS, and more.
• Proficiency in at least one programming/scripting language such as Python, Bash, or PowerShell..
• Demonstrated experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
• Familiarity with configuration management tools like Ansible, Puppet, or Chef.
• Experience with container (Docker, ECS, EKS), serverless (Lambda), and Virtual Machine (VMware, KVM) architectures.
• Experience with infrastructure as code (IaC) tools like Terraform, CloudFormation, or Pulumi.
• Strong knowledge of monitoring and logging tools such as Prometheus, ELK stack, or Splunk.
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
• Strong communication skills and the ability to work independently as well as in a team.

Nice to Have:

• Relevant certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, Certified Kubernetes Administrator (CKA), etc.
• Experience with microservices architecture and serverless computing.

Soft Skills:

• Excellent written and verbal communication skills.
• Ability to manage conflict effectively.
• Ability to adapt and be productive in a dynamic environment.
• Strong communication and collaboration skills supporting multiple stakeholders and business operations.
• Self-starter, self-managed, and a team player.

Join us in shaping the future of DevOps at Hyno in collaboration with Sparity. If you are a highly motivated and skilled DevOps Engineer, eager to make an impact in a remote setting, we'd love to hear from you.

Please find the JD below: 

• Candidate should have good Platform experience on Azure with Terraform. 
• The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests. 
• Good to have experience on migrating data from (AWS) to Azure. 

• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms. 
• VMs to be provisioned on Azure Cloud and managed. 
• Good hands-on experience of Networking on Cloud is required. 
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services. 
• Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential. 

• Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc). 
• The experience in AWS is desirable. 
• Python experience is optional however Power shell is mandatory. 
• Know-how on the use of GitHub 
• Administration of Azure Kubernetes services 

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.

Requirements:

• Experience of managing Engineering teams in an Agile environment.
• Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
• Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
• Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
• Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
• Experience in managing permissions in Azure DevOps.
• Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
• Troubleshooting experience in virtual/cloud infrastructures.
• Experience in delivery of projects using IAC (Infrastructure as Code).