Terraform Job Salaries

Find salary information for remote positions requiring Terraform skills. Make data-driven decisions about your career path.

Terraform

Median high-range salary for jobs requiring Terraform:

$200,000

This analysis is based on salary ranges collected from 254 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $152,250 - $200,000

25% of job descriptions advertised a maximum salary above $235,000.
5% of job descriptions advertised a maximum salary above $278,056.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include AWS, Kubernetes and Docker. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

AWS
77% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $153,200 - $200,000
- 25% of job descriptions advertised a maximum salary above $236,000.
- 5% of job descriptions advertised a maximum salary above $283,400.
Kubernetes
72% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $283,015.
Docker
44% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,348.25.
- 5% of job descriptions advertised a maximum salary above $292,422.5.
Cloud Computing
44% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $157,900 - $200,000
- 25% of job descriptions advertised a maximum salary above $244,600.
- 5% of job descriptions advertised a maximum salary above $299,375.
Microservices
32% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $301,600.
Python
59% jobs mention Python as a required skill. The Median Salary Range for these jobs is $150,000 - $197,100
- 25% of job descriptions advertised a maximum salary above $232,000.
- 5% of job descriptions advertised a maximum salary above $284,405.
CI/CD
64% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $151,500 - $195,000
- 25% of job descriptions advertised a maximum salary above $226,050.
- 5% of job descriptions advertised a maximum salary above $285,635.
DevOps
41% jobs mention DevOps as a required skill. The Median Salary Range for these jobs is $150,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $230,225.
- 5% of job descriptions advertised a maximum salary above $285,425.
Linux
37% jobs mention Linux as a required skill. The Median Salary Range for these jobs is $147,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $226,250.
- 5% of job descriptions advertised a maximum salary above $286,685.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Blockchain intelligence and financial services, AI observability and evaluation and Insurance. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Blockchain intelligence and financial services
1% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
AI observability and evaluation
1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $160,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $243,750.
- 5% of job descriptions advertised a maximum salary above $250,000.
Insurance
2% jobs are in Insurance industry. The Median Salary Range for these jobs is $135,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $305,000.
- 5% of job descriptions advertised a maximum salary above $350,000.
Fintech
5% jobs are in Fintech industry. The Median Salary Range for these jobs is $167,100 - $212,500
- 25% of job descriptions advertised a maximum salary above $241,050.
- 5% of job descriptions advertised a maximum salary above $327,445.
Software Development
39% jobs are in Software Development industry. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $243,750.
- 5% of job descriptions advertised a maximum salary above $286,055.
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $207,575.
- 5% of job descriptions advertised a maximum salary above $253,000.
Artificial Intelligence
2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $145,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $236,500.
- 5% of job descriptions advertised a maximum salary above $278,000.
Software Delivery
2% jobs are in Software Delivery industry. The Median Salary Range for these jobs is $170,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $201,500.
- 5% of job descriptions advertised a maximum salary above $218,000.
Cybersecurity
2% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $109,000 - $151,500
- 25% of job descriptions advertised a maximum salary above $180,000.
- 5% of job descriptions advertised a maximum salary above $265,600.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $144,000 - $144,000
- 25% of job descriptions advertised a maximum salary above $206,775.
- 5% of job descriptions advertised a maximum salary above $227,700.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Senior Infrastructure Engineer

Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

💸 180000.0 - 190000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

🔧 Requirements

Hands-on experience with Google Cloud Platform (or other major cloud providers), including resource management, cost optimization, and security.
Comfort writing automation scripts (e.g., Bash, Python, Go) to streamline infrastructure tasks and improve efficiency.
Proficiency with Docker and Kubernetes (including local development tools such as Docker Compose, Minikube, or K3s).
Experience with Terraform (or similar IaC tools) to deploy and maintain complex infrastructure in a repeatable, scalable manner.
Familiarity with monitoring, logging, and alerting best practices, ensuring systems are both observable and scalable.
Familiarity with load testing, performance profiling, and capacity planning to ensure systems remain responsive under growing demand.
Proven track record of designing and implementing continuous integration and deployment pipelines that boost developer productivity.
Solid grasp of core networking concepts (DNS, routing, load balancing) and a track record of securing systems at scale (e.g., IAM, SSL, firewalls).
Comfort implementing security measures and best practices to protect sensitive data and systems.

💡 Responsibilities

Own and optimize our Google Cloud Platform (GCP) resources, ensuring our infrastructure remains secure, scalable, and cost-effective.
Improve developer productivity by optimizing our local development environments and establishing best-in-class CI/CD pipelines.
Collaborate with product and data engineering teams to provide guidance on observability, performance, and scalability best practices, while ensuring our Kubernetes deployments are streamlined and resilient.

Docker Python SQL Bash Cloud Computing GCP Kubernetes Go REST API CI/CD Linux DevOps Terraform Microservices JSON Ansible

Posted about 2 hours ago

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🔥 Temporal Engineer - EU/South America

Posted about 5 hours ago

📍 Poland, Brazil, Portugal, Argentina, Spain

🧭 Full-Time

💸 5000.0 - 6000.0 USD per month

🔍 FinTech

🏢 Company: Space Inch👥 11-50 Social Media

🔧 Requirements

Experience with: Temporal platform (or similar job scheduling platforms)
Experience with: Cloud platforms (Azure, Azure DevOps)
Experience with: Terraform, Linux
Experience with: Python or Java development background

💡 Responsibilities

Lead the migration from Tidal to Temporal, setting up a future-proof job scheduling architecture
Analyze existing processes, identify pain points, and design optimized workflows in Temporal
Collaborate with the core engineering team and advocate for the adoption of Temporal across other engineering teams

Python Cloud Computing Java Azure Linux DevOps Terraform

Posted about 5 hours ago

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🔥 AI Strategist - Digital Velocity

Posted about 6 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

🔧 Requirements

Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
Previous direct customer consulting experience or equivalent understanding of role responsibilities
Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
Understanding of prompt engineering best practices
High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
Comprehensive understanding of agile development paradigms
Demonstrated ability to speak to business value of AI solutions
Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
Ability to understand, remember, and apply oral and/or written instructions or other information.
Ability to organize thoughts and ideas into understandable terminology.
Ability to multitask, organize and prioritize.
Ability to apply common sense while engaging with customers and providing solutions.
Ability to understand and follow complex instructions and guidelines.
Previous consulting experience a plus

💡 Responsibilities

Accurately design and scope AI professional services engagements.
Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
Coaches and mentors team members to improve their technical, consulting, and sales skills.
Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
Serves in the customer escalation path for technical problem resolution.
Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
Advises team members and sales prior to customer calls and/or sales strategy sessions.
Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
Develops presentation content for the team.
Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
Shares best practices and tactics for enhancing profitability and closing deals.
Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWS Project Management Python SQL Agile Artificial Intelligence Cloud Computing Data Analysis GCP Kubernetes Machine Learning Salesforce API testing Azure Data engineering Prometheus REST API Communication Skills CI/CD Mentoring DevOps Terraform Presentation skills Microservices JSON Data visualization Strategic thinking Data modeling Data management

Posted about 6 hours ago

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🔥 Sr Manager - Software Development (Remote US Based)

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 158300.0 - 261100.0 USD per year

🔍 Software Development

🏢 Company: external_career_site_usa

🔧 Requirements

10+ years of software development experience, with at least 4+ years in a leadership or management role.
Strong communication and leadership skills, with experience leading and mentoring engineering teams.
Proven, hands-on experience with running production workloads in AWS cloud services in production including serverless computing (e.g., Lambda, API Gateway, DynamoDB, S3, etc.).
Expertise in programming languages (Go, Java, .Net).
Deep understanding of API-first development and Domain-Driven Design (DDD).
Familiarity with microservices architectures and event streaming technologies (e.g., Kinesis, Kafka).
Experience with CI/CD practices, shift left automated testing, and monitoring for cloud-native applications.
Excellent problem-solving and analytical skills with a focus on delivering scalable, maintainable, and high-performing solutions.

💡 Responsibilities

Build, lead and manage a team of high performing software engineers to design, build, and scale software platform services, ensuring it meets business needs and technical requirements.
Cultivate a culture of continuous improvement, technical excellence, and modern software development practices.
Identify, attract, and develop a team of talented software engineers
Apply API-first design principles to build modular, reusable, and well-documented services.
Champion Domain-Driven Design (DDD) in the architecture and implementation of services, ensuring strong domain models and boundary context.
Leverage serverless architecture (e.g., AWS Lambda, Fargate) for cost-effective, scalable services that minimize infrastructure overhead.
Ensure the best practices in Software engineering, CI/CD pipelines, testing, and monitoring to maintain high-quality releases.
Collaborate closely with product management, architecture, and other cross-functional teams to ensure seamless delivery of features.
Monitor and optimize AWS resource usage to ensure a cost-effective platform.
Work in a collaborative environment to ensure a shared understanding of complex topics.
Contribute to and lead process improvement initiatives across the entire department.

AWS Backend Development Docker Leadership Project Management Software Development SQL Amazon RDS AWS EKS Cloud Computing DynamoDB Java Jenkins Kafka Kubernetes People Management API testing Go .NET Serverless CI/CD RESTful APIs Mentoring Terraform Microservices Technical support Software Engineering Debugging

Posted about 7 hours ago

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🔥 Software Developer / Engineer (Mexico - Remote)

Posted about 17 hours ago

📍 Mexico

🧭 Full-Time

💸 64000.0 - 155000.0 MXN per month

🔍 Software Development

🏢 Company: SimplePractice👥 501-1000 SaaS Health Care Software

🔧 Requirements

4+ years of engineering experience, with hands-on Ruby on Rails expertise for a part of your career
Proficient in English, with strong communication and collaboration skills
Experience designing and implementing large, scalable web applications and have an appreciation for clean, elegant, and simple code
Experience taking Rails apps from idea to production

💡 Responsibilities

Build out the next generation practice management platform
Collaborate with our Product group to help understand customer needs, troubleshoot potential problems and define upcoming features
Write clean, efficient and well-tested code that improves our code base in meaningful ways
Help diagnose problems and architect solutions

AWS Backend Development Docker PostgreSQL Software Development SQL Frontend Development Full Stack Development Git Javascript MySQL React.js Ruby on Rails Communication Skills CI/CD RESTful APIs Linux Terraform Ansible Software Engineering Debugging

Posted about 17 hours ago

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🔥 Senior Cloud Engineer, ML Platform

Posted about 18 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: GameChanger

🔧 Requirements

4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.

💡 Responsibilities

Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWS Docker Python Apache Airflow Cloud Computing Git Keras Kubernetes Machine Learning MLFlow Numpy Algorithms API testing Data engineering Data Structures REST API Serverless Pandas Spark Tensorflow CI/CD Linux Terraform Microservices JSON

Posted about 18 hours ago

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🔥 Staff Backend Engineer

Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 170000.0 - 200000.0 USD per year

🔍 Software Security

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

BS or higher, in computer science, software engineering, or a related field
5+ years of experience in backend development, with a proven track record of building scalable, production-grade systems to solve complex problems
Proficiency in programming languages such as Python and Go, with a strong ability to write clean, maintainable code
Experience developing and optimizing systems for data processing and providing REST APIs for both inter-service communication and user-facing, latency-sensitive frontend applications
Hands-on experience with asynchronous task queues (for example, Celery, RabbitMQ, Redis) or event-driven architectures (for example, Kafka, AWS SNS/SQS)
Hands-on experience designing and debugging Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, with a focus on scalability, security, and cost efficiency
Strong knowledge of modern software engineering practices, including CI/CD pipelines, infrastructure as code (for example, Terraform, AWS CloudFormation) and container orchestration (for example, Docker, Kubernetes)
Proficiency in relational and NoSQL databases (for example, PostgreSQL, DynamoDB, Redis)
Exceptional written and verbal communication skills, with the ability to effectively collaborate with team members and stakeholders
Strong desire to build impactful products

💡 Responsibilities

Architect, design, build, maintain, and enhance our data platform, backend infrastructure, and the APIs used by us and our customers
Build and maintain data pipelines to process structured and unstructured data from diverse sources and internal databases
Continually refine and suggest modifications and additions to our technical stack
Develop, scale, and optimize our machine learning infrastructure
Collaborate with cross-functional teams, partners, and customers to understand needs, offer insights, and tailor systems to meet business goals
Support and contribute to code reviews, ensuring adherence to coding standards and best practices
Mentor the engineering team as the company grows, fostering a culture of innovation, collaboration, and technical excellence

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing DynamoDB ETL GCP Kafka Kubernetes Machine Learning API testing Go REST API Redis Nosql CI/CD Terraform Microservices Software Engineering

Posted about 20 hours ago

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🔥 Sr. System Engineer

Posted about 20 hours ago

📍 AL, AZ, CA, CO, CT, FL, GA, IL, IN, MA, MI, NC, NJ, NV, NY, OH, PA, SC, TX, UT

🧭 Full-Time

💸 120000.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: Convoso👥 251-500 Internet Computer SaaS Call Center Brand Marketing Telecommunications Software

🔧 Requirements

At least 5 years of experience in configuring enterprise-level Linux systems within a highly networked environment.
Experience in using Chef for configuration management and automation, including the creation and management of Chef cookbooks and recipes.
Proficiency in scripting languages such as Python and Bash for automating tasks.
Familiarity in designing, implementing, and optimizing centralized logging solutions for effective log analysis, integration, security compliance, and incident response.
Familiarity with MySQL or similar database systems.
Experience with virtualization technologies such as Proxmox, KVM, QEMU, or VMware is beneficial.
Experience managing infrastructure with bare metal servers in data center environments.
Experience in administering and tuning application stacks such as Tomcat, Apache, Nginx, and HAProxy.
Experience with monitoring systems like Grafana, Prometheus, and Zabbix.
Strong skills in diagnosing and resolving complex system issues while maintaining stability and reliability.
Flexible with shift work and available for overtime as needed.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proactive, resourceful, and adept at managing projects and solving problems from start to finish.
Experience working in a fast-paced startup environment.

💡 Responsibilities

Manages and monitors installed systems, networks, and infrastructure for the organization to be in line with company guidelines or SOP (standard operating procedure)
Ensures the highest level of systems and infrastructure availability
Installs, configures, and tests operating systems, application software, and system management tools
Design, plan and automate deployment of Linux systems and applications
Provide documentation as required to ensure accurate and current information is available for cloud applications and services work
Implements warranty and support activities
Plans and implements system automation as required for better efficiency
Oversees the development of customized software and hardware requirements
Willing to stay up-to-date with security best practices and drive implementation accordingly
Collaborates with other professionals to ensure high-quality deliverables within organization guidelines, policies, and procedures
Run diagnostics to resolve customer-reported issues
Deals with work process, optimization methods, and risk management tools in the given projects for successful accomplishments according to the requirements of the stakeholders

Python Apache Tomcat Bash MySQL Nginx Zabbix Grafana Prometheus CI/CD Linux DevOps Terraform Ansible Scripting

Posted about 20 hours ago

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🔥 Site Reliability Engineer

Posted about 23 hours ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted about 23 hours ago

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🔥 Senior Site Reliability Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 128350.0 - 192100.0 USD per year

🔍 Software Development

🏢 Company: ClickHouse👥 101-250💰 Series B over 2 years agoDatabase Artificial Intelligence (AI)Big Data Analytics Software

🔧 Requirements

At least 8 years of experience in Site Reliability Engineering or a related field.
Previous experience using ClickHouse in production.
Coding experience with Go and/or Python.
Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.

💡 Responsibilities

Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
Continuously improve the reliability and performance of our ClickHouse services.
Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.

AWS Docker Python SQL Cloud Computing Kubernetes Cross-functional Team Leadership Clickhouse Go REST API Communication Skills CI/CD Problem Solving Linux DevOps Terraform Excellent communication skills Teamwork Strong communication skills Ansible Debugging

Posted 1 day ago

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Shown 10 out of 309

Terraform Job Salaries

Median high-range salary for jobs requiring Terraform:

Skills and Salary

AWS

Kubernetes

Docker

Cloud Computing

Microservices

Python

CI/CD

DevOps

Linux

Industries and Salary

Blockchain intelligence and financial services

AI observability and evaluation

Insurance

Fintech

Software Development

Healthcare

Artificial Intelligence

Software Delivery

Cybersecurity

Financial Services

Jobs