Design, build, and maintain secure, scalable serverless microservices and integrations on AWS. Optimize databases and CI/CD, manage IaC with Terraform, monitor alerting systems, collaborate with data/product teams, participate in on-call rotation, and drive backend best practices and documentation.
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.
The Data Services team designs, manages, and optimizes critical backend data infrastructure and pipelines supporting AssetWatch’s condition monitoring and predictive maintenance solutions. Our team maintains and evolves serverless architectures, builds robust APIs, ensures efficient database operations, and drives improvements in data ingestion and alerting systems. We collaborate closely across multiple engineering teams to enhance system performance, scalability, and reliability, ensuring seamless data flow and availability.
- Design, develop, and maintain secure, scalable, and highly available microservices, integrations, and jobs.
- Work closely with the other backend engineers to enforce consistent and scalable architecture
- Develop and optimize serverless architectures, leveraging AWS Lambda, API Gateway, and related technologies.
- Write and optimize performant SQL queries, stored procedures, and database schemas using MySQL.
- Monitor, manage, and optimize alerting systems including Sentry and Slack integrations to proactively address infrastructure and database health.
- Create, manage, and improve infrastructure-as-code (IaC) scripts and Terraform templates.
- Automate CI/CD pipelines, enhancing developer efficiency and ensuring seamless deployments.
- Work closely with Data Team to follow and mature best data practices including integration pipeline strategy
- Collaborate with Product and Engineering Teams to identify, plan, and implement system improvements, addressing technical debt and enhancing overall data stack efficiency.
- Participate actively in an on-call rotation, managing and coordinating production deployments and production support.
- Conduct thorough code reviews, support and guide Engineering Teams with backend best practices, and maintain comprehensive documentation.
Qualifications
- Strong proficiency in Python development, specifically within AWS serverless environments.
- Deep knowledge of AWS services including ECS, Lambda, API Gateway, S3, CloudWatch, IAM, RDS Aurora, SNS, and SQS.
- Experience working with third-party APIs and SaaS applications, integrating external services into backend systems.
- Experience designing and building scalable APIs, including API documentation, authentication methods, and adherence to best practices, leveraging modern frameworks and patterns.
- Solid experience managing infrastructure using Terraform and familiarity with IaC principles.
- Expertise with SQL and NoSQL databases, specifically MySQL and DynamoDB, including query optimization and performance-oriented schema design.
- Experience with Git, pipeline automation, CI/CD methodologies, and Agile practices (Jira).
- Excellent problem-solving and organizational skills, with the ability to manage multiple priorities effectively while operating in a self-driven, ownership-oriented way.
- Strong communication skills, both written and verbal, facilitating collaboration across diverse technical teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Proven experience designing and implementing backend solutions in complex, scalable cloud environments.
- A proactive learner, eager to explore new technologies and methodologies.
- Comfortable in dynamic, collaborative environments, able to work independently and in teams.
Preferred Qualifications
- Experience integrating comprehensive testing strategies within CI/CD pipelines.
- Experience with IoTCore and time series databases.
- Background in managing complex data ingestion workflows and reducing alert fatigue.
- Familiarity with monitoring/logging solutions beyond AWS offerings.
#LI-REMOTE
The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process.
The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.
AssetWatch Salary Range (US)
$120,000—$155,000 USD
What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.
- Competitive compensation package including stock options
- Flexible work schedule
- Comprehensive benefits including retirement plan match
- Opportunity to make a real impact every day
- Work with a dynamic and growing team
- Unlimited PTO
We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.
Top Skills:
Audio ProcessingAudio TranscodingCC++CnnsGitHigh Performance ComputingNetworkingPythonPyTorchRnnsRustSchedulingTransformersUnix
Machine Learning • Security • Software • Analytics • Defense
Lead back-end engineer building infrastructure to process, store, and expose large heterogeneous datasets. Deploy analytic components on on-prem and cloud, collaborate with algorithm developers and users, lead cross-functional teams, and transition systems to partner organizations while operating in a classified environment.
Top Skills:
AndroidAWSContainersCudaEc2ETLiOSKubernetesLinuxMachine LearningRoute 53Shell Scripting
Machine Learning • Security • Software • Analytics • Defense
Lead backend engineer designing and implementing infrastructure to process, store, and expose large imagery, geospatial, text, and other datasets. Collaborate with algorithm developers and users to deploy analytics and ML components on on-prem and cloud platforms, build production systems, and transition solutions to partner organizations. Provide technical leadership for distributed cross-functional teams and ensure secure, deployable enterprise software.
Top Skills:
AndroidiOSLinuxShell Scripting
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
