Mid Devops Engineer

Mid DevOps Engineer

Why Tech9

At Tech9, we are driven by a clear vision—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. As a company at the forefront of innovation, we help our clients build exceptional software that not only meets today’s needs but anticipates tomorrow's challenges. Our approach blends cutting-edge AI technology, top-tier talent acquisition, and expert project management to ensure that businesses can scale effectively and deliver high-quality, world-class software on time and within budget.

Our partnerships speak volumes, with clients like Instructure, Young Living, Imagine Learning, Mars Corp., and many others trusting us to lead the way in software development. We are rapidly growing across our offices in the US, LATAM, and India, and we're creating an environment where talented individuals can thrive, collaborate, and have fun while building transformative solutions.

If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software development!

Role Overview

Our client is a fast-paced startup building ML-powered threat detection systems that identify and neutralize digital disinformation at scale. Their core platform processes millions of data points in real time, powered by cutting-edge NLP models, classification algorithms, and anomaly detection. Trusted by Fortune 1000 companies and government agencies, the platform is rapidly expanding to meet growing demand.

The engineering team is 20 strong, with a lean Platform/DevOps/SRE function currently supporting the entire infrastructure. To keep up with scale, they’re adding another Senior DevOps Engineer to help shoulder the workload. This role is critical to ensuring the platform’s scalability, reliability, and security as the customer base grows and the data engineering capabilities expand.

Why This Role Matters

• You’ll be the third member of the DevOps/Infrastructure team, helping scale and stabilize critical infrastructure.
• Your work will directly support machine learning and data engineering layers powering mission-critical threat detection.
• You’ll play a key role in scaling infrastructure securely as the company expands its customer base and enters SOC 2 compliance.
• This is a senior-level position with the opportunity to influence technology choices, processes, and security posture from the ground up.

What You’ll Do

• Share ownership of Kubernetes-heavy infrastructure — designing, deploying, and optimizing clusters across environments.
• Build and maintain Helm charts, Terraform modules, and CI/CD pipelines (Bitbucket Pipelines, Jenkins, or GitLab).
• Partner with development and ML engineering teams to support application and data pipelines running on AWS (Azure experience is also fine).
• Containerize workloads with Docker and streamline developer workflows.
• Automate infrastructure provisioning with IaC tools like Terraform, Helm, and Ansible.
• Improve monitoring and observability with Prometheus, Grafana, Loki, CloudWatch, or ELK stack.
• Support the company’s SOC 2 compliance efforts by implementing secure-by-default infrastructure practices.
• Troubleshoot production incidents, conduct root cause analysis, and implement preventative fixes.
• Collaborate across software, data, QA, and security teams to ensure infrastructure supports business and ML workloads.
• Stay current with cloud, container, and automation trends — proposing new tools to scale the platform.
• Mentor engineers and contribute to a culture of documentation and knowledge sharing.

What You’ll Bring

• Bachelor’s degree in Computer Science, IT, or related field.
• 4+ years experience in production infrastructure/DevOps/SRE roles.
• 2+ years hands-on Kubernetes experience in production (cluster provisioning, Helm, scaling, optimization).
• Strong experience with Terraform, Helm, and containerization (Docker).
• CI/CD pipeline expertise (Bitbucket Pipelines, GitLab, Jenkins, or similar).
• Proficiency with AWS (EKS, RDS, IAM, Lambda, ECR). Azure/GCP experience a plus.
• Scripting ability in Bash or Python, with automation mindset.
• Familiarity with monitoring/logging stacks (Prometheus, Grafana, Loki, CloudWatch, Splunk, ELK).
• Experience with relational and messaging systems (PostgreSQL, MySQL, Redis, Kafka, Snowflake).
• Solid understanding of networking (TCP/IP, SDN).
• Security-conscious approach — able to design systems with compliance and SOC 2 requirements in mind.
• Strong troubleshooting skills for distributed systems and microservices.
• Comfortable in a fast-moving startup environment with cross-functional collaboration.

Interview Process

At Tech9, we are committed to providing a smooth, efficient, and transparent candidate experience. Our goal is to move quickly through the interview process, typically completing it within 2–3 weeks, depending on availability. We want to make sure you have clarity on every step, and we will keep you informed as we progress. The desired start date for this position is November 3rd or 10th, and we aim to complete the process well before then.

Interview Plan:

• Screening Interview (On-Demand HireVue)

  Duration: 15–30 minutes

  Format: Online assessment where we will gauge your initial qualifications and experience.

• Recruiter Q&A
  Duration: 10 minutes
  Format: Virtual discussion with our recruiter to address any initial questions and go over the job details.
• Round 1: Live Technical Assessment/Managerial Interview
  Duration: 1–1.5 hours
  Format: Interview focused on DevOps abilities and skills, especially Kubernetes, Terraform, Helm, and AWS, as well as culture fit.
• Round 2: Client Round #1
  Duration: 45 minutes
  Format: Live virtual interview focused on experience fit and culture fit. Held with client engineering leadership.
• Round 3: Client Round #2 – Technical
  Duration: 1 hour
  Format: Deep dive into Kubernetes, Terraform, Helm, and AWS. Focused on day-to-day responsibilities. Held with client DevOps leadership and engineers.
• Round 4: Architectural Round
  Duration: 30 minutes
  Format: Brief culture fit discussion with client application architect.

Overall time investment: 4–5 hours

We aim to finalize decisions and extend offers within a few days after the final round, ensuring a swift and transparent process. Our goal is to have you ready to start by November 3rd or 10th.

We look forward to getting to know you better and moving quickly through this process to bring you on board as part of the Tech9 team!

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