Senior DevOps Engineer

∙Need 8+ years of experience in Devops CICD 

∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools 

∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks 

∙Actively troubleshoot issues that arise during development and production 

∙Owning, learning, and deploying SW in support of customer-facing applications 

∙Help establish DevOps best practices 

∙Actively work to reduce system costs 

∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies 

∙Actively work with CI/CD, GIT and other component parts of the build and deployment system 

∙Leading skills with AWS cloud stack 

∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts) 

at scale 

∙Proven experience with Kubernetes at scale 

∙Proven experience with cloud management tools beyond AWS console (k9s, lens) 

∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator 

∙Solid team player 

∙Strong experience with Linux-based infrastructures and AWS 

∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others 

∙Strong knowledge of JavaScript, GIT 

∙Agile practitioner 

Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.

In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.

This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.

Requirements

Preferred Technical Qualifications

• 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
• Familiarity with container technologies such as Docker and Kubernetes.
• Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Programming experience in Python, Java, or another language used in DevOps workflows.
• Understanding of cloud platforms such as AWS, Azure, or GCP
• Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills

Collaboration Skills:

• Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
• Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.

Effective Communication:

• Ability to communicate technical concepts clearly to team members and stakeholders.
• Desire to improve documentation and presentation skills to share ideas effectively.

Problem-Solving Mindset:

• Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
• Interest in learning how to diagnose and resolve issues in containerized and
•  distributed systems.

Adaptability and Continuous Learning:

• Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
• Commitment to staying updated with trends in cloud computing, DevOps, and

Team-Oriented Approach:

• Enthusiastic about contributing to a collaborative team environment and supporting
• overall project goals.
• Open to feedback and actively sharing knowledge to help the team grow.

Certifications (Optional but Preferred)

• Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
• certification
• Any beginner-level certifications in DevOps or cloud services are a plus. 
• Any AWS Certification

Why Join Aivar?

At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.

About Diversity and Inclusion

We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.

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.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.

You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Automate infrastructure creation with Terraform, AWS Cloud Formation
• Perform application configuration management, and application-deployment tool enabling infrastructure as code.
• Take ownership of the Build and release cycle of the customer project.
• Share the responsibility for deploying releases and conducting other operations maintenance.
• Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
• Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
• Establish and maintain operational best practices.
• Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
• Design the team strategy in collaboration with founders of the organization.

What are we looking for?

• 4+ years of experience in using Terraform for IaaC
• 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
• 4+ years of Linux or Windows Administration experience.
• 4+ years of version control systems (git), including branching and merging strategies.
• 2+ Experience in working with AWS Infrastructure, and platform services.
• 2+ Experience in cloud automation tools (Ansible, Chef).
• Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
• You are extremely proactive at identifying ways to improve things and to make them more reliable.

You will be preferred if

• Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
• AWS Solutions Architect Professional or Associate Level Certificate
• AWS DevOps Professional Certificate

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

• Strong communication skills (written and verbal)
• Responsive, reliable and results oriented with the ability to execute on aggressive plans
• A background in software development, with experience of working in an agile product software development environment
• An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
• Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
• Hands on experience with Kubernetes (EKS preferred)
• Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
• Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
• Ability to work across multiple projects simultaneously
• Ability to manage and work with teams and customers across the globe

Requirements:-

• Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field. 
• Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
• knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and  .Net. as their Core Skill.
• Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
• Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.  
• Experience with project management and workflow tools such as   Agile, Jira / WorkFront etc.
• Experience with open-source technologies and cloud services.
• Experience in working with Puppet or Chef for automation and configuration.
• Strong communication skills and ability to explain protocol and processes with team  and management.  
• Experience in a DevOps Engineer role (or similar role)
• AExperience in software development and infrastructure development is a plus

Job Specifications:-

• Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.  
• Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
• Deploy product updates as required while implementing integrations when they arise.  
• Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
• Specifying, documenting and developing new product features, and writing automating scripts.  Manage code deployments, fixes, updates and related processes.
• Work with open-source technologies as needed.
• Work with CI and CD tools, and source control such as GIT and SVN.
• Lead the team through development and operations.
• Offer  technical support where needed, developing software for our back-end systems.

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills