Devops Engineer

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

You will be responsible for:

• Managing all DevOps and infrastructure for Sizzle
• We have both cloud and on-premise servers
• Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
• Optimize the pipeline to ensure ultra fast processing
• Work closely with management team on infrastructure upgrades

You should have the following qualities:

• 3+ years of experience in DevOps, and CI/CD
• Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
• Strong background in Linux system administration
• Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
• Deep expertise in Python including multiprocessing / multithreaded applications
• Performance profiling including memory, CPU, GPU profiling
• Error handling and building robust scripts that will be expected to run for weeks to months at a time
• Deploying to production servers and monitoring and maintaining the scripts
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
• Expertise in AWS infrastructure, networking, availability

Optional but beneficial to have:

• Experience with running Nvidia GPU / CUDA-based tasks
• Experience with image processing in python (e.g. openCV, Pillow, etc)
• Experience with PostgreSQL and MongoDB (Or SQL familiarity)
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Bachelors or Masters degree in computer science or related field
• Ideally a gamer or someone interested in watching gaming content online

Skills:

DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience: 3 years to 6 years

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

Job Location: Jaipur

Experience Required: Minimum 3 years

About the role:

As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here. 

Responsibilities:

• Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
• Ensuring availability, performance, security, and scalability of AWS production systems
• Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment. 
• Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
• Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
• 24x7 in shifts on call for Level 2 and higher escalations
• Respond to incidents and write blameless RCA’s/postmortems
• Implement and practice proper security controls and processes
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on platform.

Must have:  

• Minimum 3 Years of Experience in DevOps.  
• BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Strong inter-personal skills.
• Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
• Must have experience in Docker, Kubernetes, Amazon ECS or  Mesos
• Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
• Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
• Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.  
• In-depth knowledge of the Linux operating system and administration. 
• Production experience with a major cloud provider such Amazon AWS.
• Knowledge of web server technologies such as Nginx or Apache. 
• Knowledge of Redis, Memcache, or one of the many in-memory data stores.
• Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5. 
• Comfortable with large-scale, highly-available distributed systems.

Good to have:  

• Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
• Production experience with Hashicorp products such as Vault or Consul
• Expertise in designing, analyzing troubleshooting large-scale distributed systems.
• Experience in an PCI environment
• Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
• Experience maintaining and scaling database applications
• Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc. 
• Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
• Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs. 
• Experience in Kafka, RabbitMQ or any messaging bus.