Company Background

Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.

Project Description

As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.

Technologies

• Linux
• AWS
• Chef
• Ansible
• Terraform
• Bash
• Python
• Ruby
• Bamboo
• Kubernetes
• REST APIs
• Microservices
• Prometheus
• InfluxDB
• Nagios
• ELK
• Zookeeper
• Consul
• Spark
• Hive
• EMR
• Couchbase

What You'll Do

• Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
• Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
• Support developers with deployment, observability, and reliability tooling;
• Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
• Collaborate across engineering and business teams to maintain operational excellence;
• Maintain system documentation, deployment procedures, and best practices;
• Proactively identify performance bottlenecks and implement tuning strategies;

Job Requirements

• 3+ years of experience in DevOps roles supporting large-scale production environments;
• Expertise with AWS;
• Strong Linux skills, with advanced knowledge of system internals and networking;
• Knowledge of Victoria Metrics, Click House, and Grafana;
• Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
• Proficiency in scripting languages such as Bash, Python, or Ruby;
• Experience with Kubernetes and container orchestration;
• Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
• Experience with CI/CD practices and tools;
• English: B1+ level (spoken and written);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Their platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time market research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

The Data Operations Team's primary responsibility is to build, support and maintain the data pipelines database infrastructure and maintain efficient data stores. They work on improving reliability, scalability and efficiency of databases, data pipelines and data stores by engineering solutions that hosts the large amount of data the team uses as well as monitor, alert and auto-remediate issues that rises.

Technologies

• Oracle
• MySQL
• RAC/Dataguard
• Linux
• Scripting (Shell/Python/Ruby)
• Vertica, Druid, Kafka, Hadoop, Snowflake
• Redis, Mongo, Aerospike
• Ansible/Puppet

What You'll Do

• Perform database and system patching;
• Ensure regular system maintenance and operational stability;
• Install and configure new machines;
• Maintain and support database clusters, ensuring high availability and performance;

Job Requirements

• Strong expertise in Oracle RAC;
• 5+ years of experience in Oracle RAC and MySQL database administration;
• Solid experience with RAC/Data Guard maintenance, database installation and upgrades, backup and recovery, performance tuning, and security management;
• Hands-on experience with Linux systems;
• Good understanding of system administration principles;
• Experience with other databases (e.g., PostgreSQL, MySQL);
• Familiarity with scripting languages such as Shell, Python, or Ruby;
• Strong communication skills with the ability to clearly explain technical concepts to both technical and non-technical stakeholders;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

As a member of the DevOps team, you will be responsible for delivering solutions to your assigned team and scalable, reusable solutions across the entire engineering organization. You will operate infrastructure and ensure services are monitored, reliable, automated, and scalable, supporting tasks from server provisioning and application deployments to troubleshooting. You will also help bridge the gap between development and operations, collaborating across engineering and business teams.

Technologies

• AWS
• Kubernetes
• Linux admin
• OpenTelemetry/Grafana/Prometheus/Elasticsearch
• CI/CD
• ArgoCD
• Bash/Python
• Ansible/Chef
• GitLab
• Airflow
• Spark

What You'll Do

• Contribute to the implementation and design of systems and networks used to operate production infrastructure with a focus on automation;
• Collaborate with developers on operations-related issues, providing support and guidance;
• Develop tools to monitor infrastructure and custom applications;
• Troubleshoot issues across the entire stack;
• Document system design and application operation procedures;
• Build, monitor and tune production systems;

Job Requirements

• Experience with or knowledge of AWS and physical infrastructure (other cloud is a plus);
• Experience with or knowledge of automation tools (Terraform or Ansible);
• Troubleshooting skills and experience with Linux;
• Understanding of Linux, networking, and internet fundamentals;
• Understanding of monitoring infrastructure and applications (e.g. Grafana, Prometheus, InfluxDB);
• Scripting skills in one or more of the following: Bash, Python;
• Experience with containers and orchestration tools such as Docker and Kubernetes (or similar);
• Familiarity with CI/CD tools (e.g. GitLab CI, GitHub Actions, Jenkins);
• Confident use of Git, including branching, pull requests, and code review;
• Basic understanding of security concepts, including secrets management, IAM, and HTTPS/TLS;
• Ability to work with logs and identify the root cause of failures;
• Ability to work independently and deliver tasks with minimal supervision;
• Readiness to participate in on-call / shift duties on a rotating schedule;
• English: B1+ level;

Nice To Have

• Experience with highly loaded production systems;
• Experience with support services such as Consul, Zookeeper & ELK;
• Experience with noSQL solutions (Couchbase a plus);
• Experience with big data systems (EMR, Spark & Hive a plus);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Engineering Excellence Team is for engineers who build the systems that power everything else. No product tickets. No UI tweaks. No support loops. You’ll create the tools, standards, and frameworks that make every development team faster and stronger.

This is deep technical work with massive impact - shaping architecture, unifying processes, and defining how engineering is done across the company. A place for senior engineers who want to build the backbone, not the features. This is not a product team. It’s a technical excellence engine for people who want to build the systems behind the systems - and elevate the whole company through world-class engineering.

RESPONSIBILITIES 

• Design and evolve CI/CD frameworks that standardize and accelerate delivery across all engineering teams.
• Build and maintain infrastructure-as-code platforms that enable teams to provision and manage cloud environments in a consistent, self-service way.
• Define and implement Kubernetes-based platform capabilities that provide scalable, production-ready foundations for all applications.
• Establish and operate shared services such as event streaming platforms (e.g. Apache Kafka), enabling teams to build data-driven systems without reinventing the wheel.
• Drive centralized configuration management and environment standardization, ensuring consistency, security, and reliability at scale.
• Build and evolve company-wide observability solutions - logging, monitoring, and alerting - to provide deep visibility into system health and performance.
• Set engineering standards and best practices for reliability, scalability, and operational excellence across the organization.
• Partner with development teams to improve developer experience, remove bottlenecks, and enable faster, more reliable delivery.
• Continuously identify opportunities to simplify, automate, and unify engineering processes, raising the overall technical bar of the company.

REQUIREMENTS 

• Technical Expertise: Proficient in Docker, Kubernetes, Terraform, Packer, and Ansible.
• CI/CD Knowledge: Solid understanding of CI/CD processes and tools, including Git, Jenkins, and Microsoft Teams.
• Apache Kafka Expertise: Proven experience with Apache Kafka, including cluster management, topic configuration, Kafka Connect, Schema Registry, and a strong understanding of data streaming concepts.
• Cloud Experience: Hands-on experience with Google Cloud.
• OS & Networking: Strong knowledge of Linux/UNIX operating systems and networking fundamentals.
• Scripting Skills: Skilled in scripting with Python and Bash.
• Management Processes: Knowledge of Change Management and Release Management best practices.
• Problem-Solving: Exceptional troubleshooting abilities, with a proactive and analytical approach.
• Team Qualities: Highly motivated, responsible, dynamic, and an effective team player.
• Upper-Intermediate English level.

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.

The Role

As a DevOps Engineer, you will play a key role in designing, building, and maintaining the scalable, reliable infrastructure that powers Sisense’s AI-powered embedded analytics platform. You will work on cloud-native environments, CI/CD pipelines, automation, monitoring, and production stability — helping ensure our platform delivers high performance and developer experience at scale.

This is a hands-on role with significant ownership and impact on both internal development velocity and customer-facing reliability.

Key Responsibilities

• Design, implement, and maintain scalable infrastructure for our SaaS platform using modern cloud-native technologies.
• Build and improve CI/CD pipelines, automation tools, and deployment processes to increase development velocity and reliability.
• Own production environments: monitoring, troubleshooting, performance tuning, and incident response.
• Work closely with development teams to support infrastructure needs for new features and services.
• Research, evaluate, and introduce new tools and technologies to improve platform efficiency and observability.
• Develop and maintain Infrastructure as Code (Terraform, Crossplane, Helm, Argocd, etc.).
• Collaborate on improving observability, logging, and alerting across distributed systems.
• Participate in a rotating on-call schedule to provide 24/7 coverage for incident response and production support.

Requirements

• 4–6+ years of hands-on DevOps or SRE experience.
• Strong proficiency with Kubernetes and cloud platforms (AWS, Azure, or GCP) AWS preferred.
• Solid experience with Infrastructure as Code tools (Terraform /crossplane / Terragrunt, Helm, argocd).
• Excellent Linux systems knowledge and scripting skills (Bash, Python, or Go preferred).
• Experience building and maintaining CI/CD pipelines and automation frameworks (gitlab-ci ,github-actions and jenkins).
• Deep familiarity with monitoring tools (fluentd , fluent-bit, promethus and grafana stack , opentelemetry )
• Strong problem-solving and troubleshooting skills in high-scale production environments.
• Good communication skills and ability to work effectively in a remote, distributed team.
• Advanced English.

Nice to Have

• Experience with Node.js / TypeScript environments.
• Familiarity with multiple linux distros (ubuntu-debian , redhat , oracle)
• Background in data-intensive or analytics platforms.
• Familiarity with OpenTelemetry, monitoring tools, or distributed tracing.
• Experience supporting customer-facing SaaS platforms at scale.

Why Join Sisense

This is a high-impact role where you’ll work on the infrastructure behind cutting-edge embedded AI analytics. You’ll join a talented global engineering team, enjoy competitive compensation, meaningful equity, and the opportunity to solve complex technical challenges in a fast-growing company.

If you’re a strong DevOps Engineer who loves building reliable, scalable systems and wants to work on AI-powered data solutions, we’d love to hear from you.

The DBA team manages database availability, security, and performance, ensuring data integrity and efficient access. They handle backups and user permissions while providing proactive support.

RESPONSIBILITIES

• Design and maintain database systems, ensuring high availability and reliability tailored to each end user’s role 
• Implement databases aligned with specific user information needs and operational requirements 
• Define user permissions and facilitate precise data distribution, ensuring timely and accurate access 
• Leverage high-speed transaction recovery techniques and establish regular data backups to ensure data integrity 
• Minimize database downtime, tuning parameters to maximize query performance and responsiveness 
• Provide both proactive and reactive data management support to ensure uninterrupted operations 
• Develop, enforce, and document comprehensive database policies, procedures, and standards 
• Conduct regular tests and evaluations to safeguard data security, privacy, and integrity 
• Monitor database performance, apply updates, and implement patches to maintain optimal operation 

REQUIREMENTS

• Experience: Proven background in database administration, IT, database architecture, or a related field 
• Technical Skills: Hands-on experience with database standards and end-user applications 
• Data Integrity & Security: Strong knowledge of data backup, recovery, security, and integrity protocols for SQL or NoSQL engines 
• System Proficiency: Experience with GNU/Linux server environments 
• Database Design: Familiarity with database design principles and documentation practices 
• Programming Knowledge: Basic familiarity with programming languages 
• Problem Solving: Strong analytical skills with a capacity to approach challenges algorithmically 
• Education: BS degree in a computer discipline or a relevant certification 

NICE TO HAVE

• Expertise with MySQL and PostgreSQL
• Familiarity with cloud technologies like GCP and AWS
• Experience with version control systems such as GitHub and Bitbucket

The DBA team manages database availability, security, and performance, ensuring data integrity and efficient access. They handle backups and user permissions while providing proactive support. 

RESPONSIBILITIES  

• Develop and maintain database systems to ensure high availability and tailored performance for each user’s unique needs 
• Design databases that effectively address end-user information requirements 
• Manage user permissions and facilitate precise data distribution to ensure the right data reaches the right people, in the right format, at the right time 
• Utilize high-speed transaction recovery and robust backup procedures to safeguard data 
• Proactively reduce database downtime and fine-tune parameters for optimal query performance 
• Provide both proactive and responsive support for seamless data management
• Define, uphold, and document database policies, procedures, and best practices 
• Conduct regular tests and evaluations to uphold data security, privacy, and integrity 
• Monitor database performance continuously, making necessary changes and applying new patches and updates when needed 

REQUIREMENTS 

• Demonstrated experience in database administration, IT, database architecture, or a similar field 
• Expertise in PostgreSQL 
• Practical experience with database standards and end-user applications 
• Strong knowledge of data backup, recovery, security, integrity, and SQL or NoSQL engines 
• Familiarity with GNU/Linux server environments 
• Skilled in database design and documentation 
• Previous experience using DBA case tools (both frontend and backend) and third-party tools 
• Background in replication and load balancing technologies 
• Basic familiarity with programming languages 
• Excellent problem-solving skills and the ability to think algorithmically 
• BS degree in computer science or a related field, or relevant certification 

NICE TO HAVE 

• Proficiency in MySQL 
• Knowledge of cloud platforms like GCP and AWS 
• Familiarity with version control systems, including GitHub, Bitbucket, etc.