What you will do
- Design, build, and maintain scalable backend and platform components;
- Implement and manage observability solutions across distributed systems;
- Configure dashboards, alerts, and APM (tracing, metrics, logging);
- Monitor and improve system reliability, scalability, and performance;
- Deploy, operate, and maintain services in Kubernetes environments;
- Integrate observability tools into CI/CD pipelines and cloud infrastructure;
- Automate monitoring and operational workflows using scripting;
- Provide operational and training support for observability platforms, especially Datadog;
- Collaborate with engineering teams to improve system visibility and reliability practices.
Must haves
- 4+ years of experience with Python, Node.js, or Java;
- Hands-on experience with API integrations;
- Strong experience working in Kubernetes environments;
- Experience with Datadog or similar tools such as Prometheus and Grafana;
- Ability to configure dashboards, alerts, and APM;
- Experience monitoring containerized and microservices architectures;
- Hands-on experience with AWS;
- Experience integrating observability tools into cloud environments;
- Experience with CI/CD integrations for observability;
- Ability to automate monitoring and operational tasks using scripting;
- Upper-intermediate English level.
Nice to haves
- Experience owning and operating an internal engineering platform, especially observability platforms;
- Demonstrated ownership of reliability, scalability, and performance;
- Ability to proactively lead maintenance efforts and platform improvements;
- Experience installing and configuring Datadog agents and integrations;
- Experience managing API keys and secure configurations;
- Experience managing user roles and access controls within observability platforms;
- Familiarity with Go (Golang);
- Experience with additional observability tools such as New Relic, Dynatrace, Elastic Stack, or Splunk Observability Cloud.
We are looking for a Senior/Lead Data Analyst to turn large, complex datasets into clear insights that inform decisions across the business. You will write advanced SQL queries against Snowflake, build dashboards in tools like Tableau or Power BI, and present findings to both technical and non-technical stakeholders. The role is focused on analysis and visualization — not data engineering or model development — and actively incorporates AI copilots to accelerate query generation and data exploration. Strong data quality instincts and the ability to work independently across cross-functional teams are essential.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
