Devops Engineer (m/f) for Applift

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.

Location: Remote (India only)

About Certa At Certa, we’re revolutionizing process automation for top-tier companies, including Fortune 500 and Fortune 1000 leaders, from the heart of Silicon Valley. Our mission? Simplifying complexity through cutting-edge SaaS solutions. Join our thriving, global team and become a key player in a startup environment that champions innovation, continuous learning, and unlimited growth. We offer a fully remote, flexible workspace that empowers you to excel.

Role Overview

Ready to elevate your DevOps career by shaping the backbone of a fast-growing SaaS platform? As a Senior DevOps Engineer at Certa, you’ll lead the charge in building, automating, and optimizing our cloud infrastructure. Beyond infrastructure management, you’ll actively contribute with a product-focused mindset, understanding customer requirements, collaborating closely with product and engineering teams, and ensuring our AWS-based platform consistently meets user needs and business goals.

What You’ll Do

• Own SaaS Infrastructure: Design, architect, and maintain robust, scalable AWS infrastructure, enhancing platform stability, security, and performance.
• Orchestrate with Kubernetes: Utilize your advanced Kubernetes expertise to manage and scale containerized deployments efficiently and reliably.
• Collaborate on Enterprise Architecture: Align infrastructure strategies with enterprise architectural standards, partnering closely with architects to build integrated solutions.
• Drive Observability: Implement and evolve sophisticated monitoring and observability solutions (DataDog, ELK Stack, AWS CloudWatch) to proactively detect, troubleshoot, and resolve system anomalies.
• Lead Automation Initiatives: Champion an automation-first mindset across the organization, streamlining development, deployment, and operational workflows.
• Implement Infrastructure as Code (IaC): Master Terraform to build repeatable, maintainable cloud infrastructure automation.
• Optimize CI/CD Pipelines: Refine and manage continuous integration and deployment processes (currently GitHub Actions, transitioning to CircleCI), enhancing efficiency and reliability.
• Enable GitOps with ArgoCD: Deliver seamless GitOps-driven application deployments, ensuring accuracy and consistency in Kubernetes environments.
• Advocate for Best Practices: Continuously promote and enforce industry-standard DevOps practices, ensuring consistent, secure, and efficient operational outcomes.
• Innovate and Improve: Constantly evaluate and enhance current DevOps processes, tooling, and methodologies to maintain cutting-edge efficiency.
• Product Mindset: Actively engage with product and engineering teams, bringing infrastructure expertise to product discussions, understanding customer needs, and helping prioritize infrastructure improvements that directly benefit users and business objectives.

What You Bring

1. Hands-On Experience: 3-5 years in DevOps roles, ideally within fast-paced SaaS environments.
2. Kubernetes Mastery: Advanced knowledge and practical experience managing Kubernetes clusters and container orchestration.
3. AWS Excellence: Comprehensive expertise across AWS services, infrastructure management, and security.
4. IaC Competence: Demonstrated skill in Terraform for infrastructure automation and management.
5. CI/CD Acumen: Proven proficiency managing pipelines with GitHub Actions; familiarity with CircleCI highly advantageous.
6. GitOps Knowledge: Experience with ArgoCD for effective continuous deployment and operations.
7. Observability Skills: Strong capabilities deploying and managing monitoring solutions such as DataDog, ELK, and AWS CloudWatch.
8. Python Automation: Solid scripting and automation skills using Python.
9. Architectural Awareness: Understanding of enterprise architecture frameworks and alignment practices.
10. Proactive Problem-Solving: Exceptional analytical and troubleshooting skills, adept at swiftly addressing complex technical challenges.
11. Effective Communication: Strong interpersonal and collaborative skills, essential for remote, distributed teamwork.
12. Product Focus: Ability and willingness to understand customer requirements, prioritize tasks that enhance product value, and proactively suggest infrastructure improvements driven by user needs.
13. Startup Mindset (Bonus): Prior experience or enthusiasm for dynamic startup cultures is a distinct advantage.

Why Join Us

• Compensation: Top-tier salary and exceptional benefits.
• Work-Life Flexibility: Fully remote, flexible scheduling.
• Growth Opportunities: Accelerate your career in a company poised for significant growth.
• Innovative Culture: Engineering-centric, innovation-driven work environment.
• Team Events: Annual offsites and quarterly Hackerhouse.
• Wellness & Family: Comprehensive healthcare and parental leave.
• Workspace: Premium workstation setup allowance, providing the tech you need to succeed.

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

What you need to have:

Requirements and Qualifications

• Bachelor’s degree in Computer Science Engineering or in a related field
• 4+ years of experience
• Excellent analytical and problem-solving skills
• Strong knowledge of Linux systems and internals
• Programming experience in Python/Shell scripting
• Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
• Experience in containerization (Docker) and container orchestration (Kubernetes)
• Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
• Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
• Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
• Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
• Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
• Good communication & collaboration skills and attention to details
• Participation in rotating on-call duties

MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
• Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
• Bring experience on Google Cloud Platform.
• Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
• Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
• Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
• Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
• Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
• Manage several streams of work concurrently
• Understand how various systems work
• Understand how IT operations are managed

What you will bring:

• 5 years of work experience as a DevOps Engineer.
• Must possess ample knowledge and experience in system automation, deployment, and implementation.
• Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git. 
• Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

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